Updated on 2025/03/27

写真a

 
Tsubota Takahiro
 
Organization
Graduate School of Science and Engineering (Engineering) Major of Science and Engineering Civil and Environmental Engineering Associate Professor
Title
Associate Professor
Contact information
メールアドレス
External link

Degree

  • PhD ( Queensland University of Technology )

Research Interests

  • 舗装工学

  • Traffic Simulation

  • Traffic Engineering

  • 交通安全

Research Areas

  • Social Infrastructure (Civil Engineering, Architecture, Disaster Prevention) / Civil engineering plan and transportation engineering

Education

  • Queensland University of Technology   Science and Engineering Faculty   Smart Transport Research Centre

    2010.7 - 2014.9

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  • 東京大学大学院   工学系研究科   社会基盤学専攻

    2006.4 - 2008.3

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  • The University of Tokyo   The Faculty of Engineering   Department of Civil Engineering

    2002.4 - 2006.3

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Research History

  • Ehime University   Faculty of Engineering   Associate Professor

    2023.4

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  • Ehime University   Faculty of Engineering   Senior Assistant Professor

    2019.4 - 2023.3

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  • Ehime University   Faculty of Engineering   Assistant Professor

    2016.4 - 2019.3

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  • 株式会社交通システム研究所

    2016.3

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  • Queensland University of Technology   Smart Transport Research Centre

    2014.5 - 2015.12

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  • Pacific Consultants Co., Ltd

    2008.4 - 2010.6

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Professional Memberships

  • JAPAN SOCIETY OF CIVIL ENGINEERS

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  • JAPAN SOCIETY OF TRAFFIC ENGINEERS

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  • World Conference on Transport Research (WCTR)

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  • THE CITY PLANNING INSTITUTE OF JAPAN

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Committee Memberships

  • 新居浜市   立地適正化計画策定委員会 委員長  

    2024.6   

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    Committee type:Municipal

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  • 交通工学研究会   新制御方式研究委員会委員  

    2024.6   

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    Committee type:Academic society

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  • 新居浜市   立地適正化計画策定委員会 委員  

    2023.8 - 2024.3   

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    Committee type:Municipal

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  • 国土交通省 近畿地方整備局   地域道路経済戦略研究会 近畿地方研究会 委員  

    2023.1   

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    Committee type:Government

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  • Asian Transport Studies   Assistant Editor  

    2021.11   

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    Committee type:Academic society

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  • 土木学会   土木計画学学術小委員会 委員  

    2021.6 - 2024.3   

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    Committee type:Academic society

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  • 日本交通管理技術協会   プローブ情報を活用した信号制御方式に関する調査研究委員会 オブザーバ  

    2021.4 - 2024.3   

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    Committee type:Academic society

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  • 交通工学研究会   JSTEシンポジウム運営小委員会 幹事  

    2021.4 - 2021.12   

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    Committee type:Academic society

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  • 日本都市計画学会   学術研究論文発表会支部実行委員会  

    2020.12 - 2021.11   

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    Committee type:Academic society

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  • 第18回ITSシンポジウム2020 プログラム委員会   委員  

    2020.1 - 2020.12   

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    Committee type:Academic society

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  • 交通工学研究会   査読委員  

    2019   

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    Committee type:Academic society

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  • International Symposium of Transport Simulation & International Workshop on Traffic Data Collection and its Standardization 2018 (ISTS&IWTDCS 2018)   Local Organising Committee  

    2017.5 - 2018.12   

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    Committee type:Other

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  • 交通工学研究会 松山都市圏事故リスクマネジメント研究会   委員  

    2017.4 - 2020.3   

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    Committee type:Academic society

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  • 国土交通省四国地方整備局 松山河川国道工事事務所 愛媛県渋滞対策協議会   委員  

    2016.8   

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    Committee type:Government

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Papers

  • Effectiveness of Accident Risk Information Based on Information Types Reviewed

    Takahiro TSUBOTA, Toshio YOSHII, Shinya KURAUCHI, Jian XING

    Journal of the Eastern Asia Society for Transportation Studies   15   2713 - 2728   2024

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    Authorship:Lead author  

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  • Appropriate Traffic Safety Measures for Traffic Conditions with High Accident Risk Reviewed

    Yoshitomo Orino, Toshio Yoshii, Takahiro Tsubota, Ryo Katsumura

    Journal of the Eastern Asia Society for Transportation Studies   15   3028 - 3040   2024

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  • 記憶の統合による歴史的建築物の忘却緩和効果

    Hirotoshi SHIRAYANAGI, Yuto MURAKAMI, Shinya KURAUCHI, Takahiro TSUBOTA

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   78 ( 5 )   I_275 - I_287   2023.5

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejipm.78.5_i_275

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  • プローブ旅行時間を用いた信号交差点交通状態の判別手法 Reviewed

    吉井 稔雄, 張 ウチン, 坪田 隆宏

    交通工学論文集 9(2)   A_246 - A_252   2023

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  • AN ANALYSIS OF TRAFFIC ACCIDENT RISKS ON RESIDENTIAL STREETS CONSIDERING THE VISIBILITY OF INTERSECTION

    YOSHII Toshio, KAWAMOTO Toru, SHIRAYANAGI Hirotoshi, TSUBOTA Takahiro

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   77 ( 5 )   I_1093 - I_1099   2022

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    The accident risk on residential roads is higher than that of highways. Especially, the intersections on the residential roads are more dangerous because of the large number of accidents. Therefore, in order to identify the factors affecting the number of accidents per unit traffic volume (hereafter, "traffic accident risk") at the intersections, this study makes a factor analysis for the intersections in Matsuyama metropolitan area. Since there are a lot of intersections with blind corners, in addition to road structure etc. the visibility of the intersection is considered as a factor. Specifically, by combining probe data and traffic accident data, a multiple regression analysis is carried out, using the number of traffic accidents at the intersections in each area as the objective variable, and various factors including intersection visibility as explanatory variables. As a result, it is shown that the accident risk of the 4-way intersections increases where narrowed roads intersected and good and bad visible corners were mixed.

    DOI: 10.2208/jscejipm.77.5_i_1093

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  • EFFECT OF TRAFFIC ACCIDENT INFORMATION PROVISION ON EXPRESSWAY NETWORK CONSIDERING INFORMATION TYPES

    TSUBOTA Takahiro, YOSHII Toshio, KURAUCHI Shinya, XING Jian

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   77 ( 5 )   I_985 - I_993   2022

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejipm.77.5_i_985

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  • AIを用いたトンネル照明灯具の劣化予測モデル Reviewed

    奥村 尚登, 坪田 隆宏, 吉井 稔雄

    AI・データサイエンス論文集   J2 ( 3 )   1010 - 1016   2022

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • THE EFFECT OF ATTENTIONAL BIAS TOWARD SHOP FACADE ON PREFERENCE JUDGEMENT

    SHIRAYANAGI Hirotoshi, MURAKAMI Yuto, KURAUCHI Shinya, TSUBOTA Takahiro

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   77 ( 5 )   I_313 - I_320   2022

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    Language:Japanese   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejipm.77.5_i_313

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  • An Analysis of the Impact of Attentional Momentum Effect on Driver’s Ability of Awareness During Night-time Driving Reviewed

    Hirotoshi Shirayanagi, Toshio Yoshii, Shinya Kurauchi, Takahiro Tsubota

    International Journal of Intelligent Transportation Systems Research   2021.4

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:SPRINGER  

    This study aims to demonstrate that driver's awareness during driving at night can be improved by attentional momentum effect. Driver's ability to be aware of pedestrians is often degraded due to the inhibition of return (hereafter, "IOR"). The IOR is the tendency that exogenous attention is suppressed toward the direction to which the driver previously referred. Previous studies have suggested that attentional momentum effect (hereafter, "AME") can relieve the effect of IOR. For example, IOR phenomenon appears when driver's exogenous attention is localized on roadside stores with high-illumination intensity. Focusing on the night-time driving, this study investigates the impact through a detection task based on dual-task setting. As a result, it was observed that the target detection was delayed under IOR condition, and the delay in target detection was improved under AME condition. This result supports that attentional momentum effect led to improve the driver's ability to be aware of objects during night time driving.

    DOI: 10.1007/s13177-020-00241-2

    Web of Science

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  • AIによる高速道路トンネル照明取付具の劣化診断手法の開発 Reviewed

    坪田 隆宏, 楊 宇, 吉井 稔雄

    AI・データサイエンス論文集   2 ( J2 )   681 - 686   2021

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    Authorship:Lead author, Corresponding author  

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  • Effect of the Multicollinearity of Interaction Terms on the Performance of the ANN Model Reviewed

    Celso Luis FERNANDO, Toshio YOSHII, Takahiro TSUBOTA, Hirotoshi SHIRAYANAGI

    Proceedings of the Eastern Asia Society for Transportation Studies PP2434   PP3024   2021

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  • 交通事故の影響による MFD 形状変化分析 Reviewed

    吉井 稔雄, 奥原 瑠依, 坪田 隆宏

    交通工学論文集特集号A(研究論文)   7 ( 2 )   A_201 - A_206   2021

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  • AN ANALYSIS OF THE EFFECT OF GAZE BIAS TOWARD SHOP FACADE ON PREFERENCE JUDGEMENT

    Hirotoshi SHIRAYANAGI, Shinya KURAUCHI, Takahiro TSUBOTA

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   76 ( 5 )   I_369 - I_376   2021

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejipm.76.5_i_369

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  • 抜け道利用車の走行特性と所要時間短縮効果の分析 Reviewed

    李 文浩, 倉内 慎也, 吉井 稔雄, 坪田 隆宏

    交通工学論文集特集号A(研究論文)   7 ( 2 )   A_354 - A_361   2021

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  • A PAVEMENT DETERIORATION FORECASTING MODEL IN EXPRESSWAYS USING DEEP LEARNING Reviewed

    Shin HASHIMOTO, Toshio YOSHII, Takahiro TSUBOTA, Pang-jo CHUN

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   75 ( 6 )   I_547 - I_554   2020

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    Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    DOI: 10.2208/jscejipm.75.6_i_547

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  • PREDICTION OF TRAFFIC ACCIDENT LIKELIHOOD ON INTERCITY EXPRESSWAY BY CONVOLUTIONAL NEURAL NETWORK Reviewed

    Takahiro TSUBOTA, Toshio YOSHII, Jian XING

    AI・データサイエンス論文集   1 ( 1 )   11 - 17   2020

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  • Effect of Accident Risk Information Provision to Traffic Accident Reduction Reviewed

    TSUBOTA Takahiro, YOSHII Toshio, SHIRAYANAGI Hirotoshi, KURAUCHI Shinya

    JSTE Journal of Traffic Engineering   6 ( 2 )   A_270 - A_279   2020

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Traffic Engineers  

    <p>Accident risk information system aims to reduce traffic accidents by navigating drivers to the routes with lower accident risk. This study quantitatively evaluates the effect of the accident risk information provision by utilizing a dynamic traffic simulation environment – SOUND. The simulation bed is constructed to model the wide-area road network of Matsuyama, Japan. Accident risk estimation models are embedded in the simulation to calculate the timedependent route cost considering the accident risk in addition to conventional cost terms such as travel time. The simulation estimates the traffic conditions when drivers acquire the accident risk information in their route choice. The effect of the information provision system is evaluated by comparing the expected number of accidents with and without the system. The results revealed that the drivers with accident risk information prefer to use routes with lower accident risk, and the total number of accidents could reduce by up to 4%.</p>

    DOI: 10.14954/jste.6.2_A_270

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  • An Analysis of Driver's Exogenous Attention During Driving at Night by a Pre-cueing Task Reviewed

    SHIRAYANAGI Hirotoshi, YOSHII Toshio, KURAUCHI Shinya, TSUBOTA Takahiro

    JSTE Journal of Traffic Engineering   6 ( 2 )   A_175 - A_182   2020

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Traffic Engineers  

    <p>This study aims to demonstrate that driver's cognition during driving at night can be improved by attentional momentum effect. Driver's cognition of a target often delays due to inhibition of return, which is that exogenous attention is suppressed orienting toward previously inspected locations. Previous studies have suggested that attentional momentum effect relieves inhibition of return. It is considered that driver's exogenous attention tends to be located on roadside -stores with high-illumination intensity which could cause the inhibition of return resulting in the delay in cognition of a target. This study conducts a pre-cueing task based on dual task paradigm to show attentional momentum effect relieves inhibition of return during driving at night. The response time of the attentional momentum condition was observed to be shorter than the inhibition of return condition. This result suggested that attentional momentum effect led to improve the driver's cognition during driving at night.</p>

    DOI: 10.14954/jste.6.2_A_175

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  • EFFECT OF ATTENTIONAL ENGAGEMENT TO THE TRADITIONAL JAPANESE-STYLE STREET FACADE BY MEMORY DRIVEN ATTENTIONAL CAPTURE Reviewed

    SHIRAYANAGI Hirotoshi, KURAUCHI Shinya, TSUBOTA Takahiro

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   75 ( 6 )   I_191 - I_197   2020

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    <p>The purpose of this study was to investigate the attentional engagement to the traditional Japanese-style street facades by memory driven attentional capture. When walking along the traditional Japanese-style streets, anyone has an experience that their eyes glued to the traditional Japanese-style street facades. Previous studies have suggested that the attentional engagement was facilitated for similar element that visual working memory held. From these previous studies, it was hypothesized that the visual working memory of traditional Japanese-style streets might cause the attentional engagement to traditional Japanese-style street facades and this hypothesis was examined by a visual search task. The results show that the attentional engagement to the Japanese street facade was caused by memory driven attentional capture.</p>

    DOI: 10.2208/jscejipm.75.6_I_191

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  • Effect of Attentional Disengagement on Driver's habituation During Driving on an Expressway Reviewed

    SHIRAYANAGI Hirotoshi, KURAUCHI Shinya, TSUBOTA Takahiro

    JSTE Journal of Traffic Engineering   6 ( 2 )   A_303 - A_309   2020

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Traffic Engineers  

    <p>This study aims to demonstrate that driver's detection of a fallen object on an expressway can be improved by attentional disengagement. Driver's detection of a target often delays due to vigilance decrement, which is deterioration in the ability to keep attention to a target over a long period of time. Previous studies have suggested that instantaneous attentional disengagement from a target relieves vigilance decrement. It is considered that driver's attention tends to be located on a particular point in front for a long time which could cause vigilance decrement resulting in the delay in detection of a fallen object on an expressway. This study conducts a selective adaptation task to show that attentional disengagement relieves vigilance decrement during driving on an expressway. The response time of the disengaged condition was observed to be shorter than the engaged condition. This result suggested that attentional disengagement led to improve the driver's detection of a fallen object during driving on an expressway.</p>

    DOI: 10.14954/jste.6.2_A_303

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  • Effect of Attentional Disengagement on Driver Inattention While Driving on Expressway Reviewed

    Hirotoshi SHIRAYANAGI, Shinya KURAUCHI, Takahiro TSUBOTA, Toshio YOSHII

    Journal of EASTS   2019.12

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  • 和風型街並の印象が主観的経過時間の歪みに与える影響分析 -ラグ数判断課題に基づく検討 Reviewed

    白柳 洋俊, 倉内 慎也, 坪田 隆宏

    都市計画論文集   2019.10

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  • A Study on the Characteristics of MFD determined by Probe Data Reviewed

    Stephanie Gituru, Toshio Yoshii, Takahiro Tsubota, Hirotoshi Shirayanagi

    Proceedings of the Eastern Asia Society for Transportation Studies   PP2434   2019.9

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  • Analysis of the Safety Performance of Drainage Pavement focusing on Pavement Age Reviewed

    Celso FERNANDO, Toshio YOSHII, Takahiro TSUBOTA, Hirotoshi SHIRAYANAGI

    Journal of the Eastern Asia Society for Transportation Studies   13   2016 - 2026   2019

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  • 高速道路における舗装路面性状を考慮した交通事故リスク分析 Reviewed

    坪田隆宏, 吉井稔雄, 白柳洋俊, 倉内慎也

    土木学会論文集D3(土木計画学)   75 ( 5 )   2019

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  • ディープラーニングを用いた高速道路の路面劣化予測モデル Reviewed

    橋本 申, 吉井 稔雄, 坪田 隆宏, 全 邦釘

    土木学会論文集D3   75 ( 6 )   掲載決定   2019

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • Study on Accident Risk considering Traffic States and Road Geometry in Intercity Expressways

    坪田隆宏, 吉井稔雄, XING Jian

    交通工学論文集(Web)   5 ( 2 )   A_199‐A_207(J‐STAGE)   2019

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.14954/jste.5.2_A_199

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  • 和風型街並の反復認知が和風建築要素の虚偽記憶に及ぼす影響 Reviewed

    白柳洋俊, 倉内慎也, 坪田隆宏

    土木学会論文集D3(土木計画学)   75 ( 5 )   2019

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  • A METHOD FOR ESTIMATING TRAFFIC VOLUME USING BLUETOOTH DETECTION Reviewed

    土木学会論文集 D3(土木計画学)   74 ( 5 )   2018.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • AN ANALYSIS OF TRAFFIC ACCIDENT RISKS CONSIDERING LONG CONTINUOUS DRIVING VEHICLES Reviewed

    74 ( 5 )   2018.12

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    Language:Japanese   Publishing type:Research paper (scientific journal)  

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  • TRAFFIC ACCIDENT RISK ESTIMATION MODEL FOR RESIDENTIAL STREETS USING ETC2.0 PROBE DATA Reviewed

    TSUBOTA Takahiro, YOSHII Toshio, KURAUCHI Shinya, YAMAMOTO Atsushi

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   74 ( 5 )   I_1029 - I_1035   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:公益社団法人 土木学会  

    This study aims to develop traffic accident risk models for residential streets by utilising probe data. Residential streets are minor access roads in residential area for the residents to reach major arterial roads. The residential streets are not designed for heavy traffic, and thus are characterised by narrow road width and the absence of traffic lights. Nevertheless, they are often bypassed by through-traffic, due to which traffic accident risk is considered to be very high. However, the residential streets are rarely equipped with traffic sensors; traffic accident risk has not been evaluated in such minor roads, which hinders designing effective traffic safety measures. This study utilises probe vehicle information retrieved from ETC2.0 onboard equipments in order to estimate the traffic volume in the residential streets. Then, the traffic accident risks are estimated for different accident types, followed by the development of traffic accident risk estimation model based on linear regression analysis. A case study conducted in Matsuyama in Ehime prefecture revieled that the accident risk in residential areas near major arterial roads tend to be higher. The residential streets in office areas and in the areas with higher population of working ages are also identified as having higher accident risks. The findings would be useful inputs in planning the counter strategies and in prioritising the areas to be improved.

    DOI: 10.2208/jscejipm.74.I_1029

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  • Effect of Road Pavement Ages on Traffic Accident Risks Reviewed

    Takahiro Tsubota, Celso Fernando, Toshio Yoshii, Hirotoshi Shirayanagiq

    Transportation Research Procedia   34   211 - 218   2018

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    Publishing type:Research paper (international conference proceedings)  

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  • TRAFFIC ACCIDENT RISK ESTIMATION MODEL FOR RESIDENTIAL STREETS USING ETC2.0 PROBE DATA Reviewed

    TSUBOTA Takahiro, YOSHII Toshio, KURAUCHI Shinya, YAMAMOTO Atsushi

    Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)   74 ( 5 )   I_1029 - I_1035   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Civil Engineers  

    This study aims to develop traffic accident risk models for residential streets by utilising probe data. Residential streets are minor access roads in residential area for the residents to reach major arterial roads. The residential streets are not designed for heavy traffic, and thus are characterised by narrow road width and the absence of traffic lights. Nevertheless, they are often bypassed by through-traffic, due to which traffic accident risk is considered to be very high. However, the residential streets are rarely equipped with traffic sensors; traffic accident risk has not been evaluated in such minor roads, which hinders designing effective traffic safety measures. This study utilises probe vehicle information retrieved from ETC2.0 onboard equipments in order to estimate the traffic volume in the residential streets. Then, the traffic accident risks are estimated for different accident types, followed by the development of traffic accident risk estimation model based on linear regression analysis. A case study conducted in Matsuyama in Ehime prefecture revieled that the accident risk in residential areas near major arterial roads tend to be higher. The residential streets in office areas and in the areas with higher population of working ages are also identified as having higher accident risks. The findings would be useful inputs in planning the counter strategies and in prioritising the areas to be improved.

    DOI: 10.2208/jscejipm.74.I_1029

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  • Estimation of passengers' benefit accrued by expressway expansion using an integrated demand model Reviewed

    38   641 - 646   2018

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    Language:Japanese  

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  • Effect of Pavement Conditions on Accident Risk in Rural Expressways. Reviewed

    Takahiro Tsubota, Toshio Yoshii, Hirotoshi Shirayanagi, Shinya Kurauchi

    The 21st IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018)   3613 - 3618   2018

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/ITSC.2018.8569285

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  • A Study on Driver's Stopping Behavior Focusing on Change of Positive Reinforcer and Generalization Reviewed

    SHIRAYANAGI Hirotoshi, TAJI Shun, TSUBOTA Takahiro, KURAUCHI Shinya, YOSHII Toshio

    JSTE Journal of Traffic Engineering   4 ( 1 )   A_106 - A_112   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Traffic Engineers  

    <p>This study investigates the relationship between driving experience and generalization of driver's stopping behavior. Previous research has suggested that an acquired behavior is triggered by positive reinforcement, and the same behavior is replicated by the same trigger in any situations once it is generalized. Driving behavior is a type of acquired behaviors, and therefore it is possible that a procedure in driving is generalized by accumulating driving experience. This study aims to relate the generalization of driver's stopping behavior to the driver's driving experience by comparing the stopping behavior in real space and virtual space presented by a driving simulator. The results showed that drivers with longer driving experience performed stopping behavior based on the same positive reinforcement regardless of the situations: real space or virtual space, which suggests that their stopping behavior is generalized. On the other hand, drivers with shorter driving experience did not exhibit the generalization in their behavior.</p>

    DOI: 10.14954/jste.4.1_A_106

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  • Speed Estimation Model for Signalised Arterials based on Aggregated QV Relationships Reviewed

    TSUBOTA Takahiro, YOSHII Toshio, HARADA Hiro, JINNO Hiroaki

    JSTE Journal of Traffic Engineering   4 ( 1 )   A_216 - A_222   2018

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society of Traffic Engineers  

    <p>This study aims to develop an average travel speed estimation model for signalised arterials based on the relationship between flow (Q) and speed (V). Such relationship, or the QV relationship, describes the travel speed at given flow levels, which plays crucial role in designing traffic management schemes to evaluate the traffic performance after devising the policies. On the other hand, in the state of the practice, the QV relationship of signalised arterials only relates the daily traffic volume and daily average travel speed, which is unable to capture the dynamic changes in traffic, and therefore, hinders the proper evaluation of traffic performance after the policies. This study developed the methodology to estimate the QV relationship of signalised arterials using traffic data aggregated in smaller time intervals (e.g., 15 minutes). The proposed QV relationship relates the space-mean flow and speed along a corridor by utilising multiple detectors. The travel speed estimation model was developed based on a multiple linear regression model, which defined the average travel speed using the space-mean flow, road geometry and time of day. The model exhibited sound accuracy with R<sup>2</sup> of 0.77, and revealed the impact of road geometry and temporal difference on travel speed.</p>

    DOI: 10.14954/jste.4.1_A_216

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  • Investigation of the Effects of Traffic Safety and In-vehicle Criminality on Commuter’s Mode Choice Behaviour Reviewed

    Audinda Virsa Leinia, Takahiro Tsubota, Toshio Yoshii

    Internet Journal of Society for Social Management Systems   11 ( 1 )   136 - 145   2017.12

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  • A memetic algorithm for real world multi-intersection traffic signal optimisation problems Reviewed

    Nasser R. Sabar, Le Minh Kieu, Edward Chung, Takahiro Tsubota, Paulo Eduardo Maciel de Almeida

    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE   63   45 - 53   2017.8

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    Traffic signals play a significant role in the urban transportation system. They control the movement of traffic on urban streets by determining the appropriate signal timing settings. Due to the stochastic nature of the traffic flow, deciding on the best signal timing settings is a computationally complex problem, with the result that traditional analytical methods have been found to be inadequate in dealing with real world scenarios. This issue has already been tackled using computational intelligence algorithms such as the genetic algorithm (GA). However, despite good results, GA may experience slow convergence, especially when dealing with constrained optimisation problems. To address this issue, we propose an adaptive memetic algorithm (MA) for optimising signal timings in real world urban road networks using traffic volumes derived from induction loop detectors. The proposed MA combines the strengths of GA with the exploitation power of a local search algorithm, in an adaptive manner, so as to accelerate the search process and generate high quality solutions. In this work, we propose two important techniques for improving the performance of a traditional MA. First, we use a systematic neighbourhood based simple descent algorithm as a local search to effectively exploit the search space around GA solutions. Second, to achieve a proper balance between the exploration of GA and the local search algorithm, we propose an indicator scheme to control the local search application based on the diversity and the quality of the search process. The proposed MA was tested in two different case studies for the cities of Brisbane, Australia, and Plock, Poland, using the well-known microscopic traffic simulator, AIMSUN. Results demonstrate that our MA is better than GA and traditional fixed-time traffic signal settings. Crown Copyright (C) 2017 Published by Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.engappai.2017.04.021

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  • Modelling the Detection Probability of the MAC Address from a Moving Bluetooth Device considering Characteristics and Positions of the Scanner Reviewed

    TSUBOTA Takahiro, YOSHII Toshio, FUJII Hiroshi, KAWANO Yuna

    JSTE Journal of Traffic Engineering   3 ( 2 )   A_37 - A_43   2017

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    Traffic monitoring using Bluetooth MAC addresses has been intensively studied for a decade. Nevertheless, estimation of Origin-Destination volume is still challenging, because the detection probability is unstable and sensitive to the installation positions and environments. With the aim to reveal the factors affecting the detection probability of MAC addresses, this study conducted a series of driving tests to collect detection samples from moving Bluetooth device under various scenarios. The data was then fed in a Logistic Regression Model to estimate the contribution of the factors, such as the installation positions of the scanner and the driving speed of the experiment car, to the detection probability. The results agreed on the significance of distance and angle between the scanner and the car, as well as the car speed, as reported in preceding studies. This study further identified the contribution of driving direction and timeout duration of the scanner. The proposed model successfully estimated the detection probability with a reasonable accuracy.

    DOI: 10.14954/jste.3.2_A_37

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  • An Analysis of the Detection Probability of MAC Address from a Moving Bluetooth Device Reviewed

    Takahiro Tsubota, Toshio Yoshii

    Transportation Research Procedia   21 ( C )   251 - 256   2017

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:Elsevier B.V.  

    Traffic monitoring using Bluetooth MAC addresses has been intensively studied for a decade. Nevertheless, estimation of Origin-Destination volume is still challenging, because of the unstable nature of the detection. With the aim to reveal the factors affecting the detection probability of MAC addresses from moving Bluetooth device, this study conducted a series of driving tests to collect detection samples under various scenarios. The data was then utilised to develop a Logistic Regression Model to estimate detection probability considering the installation positions of the scanner and the driving speed of the experiment car. The results agreed on the contribution of distance and angle between the scanner and the car, as well as the car speed, as reported in preceding studies. This study further identified the contribution of driving direction, and height and timeout duration of the scanner. The proposed model successfully estimated the detection probability with reasonable accuracy.

    DOI: 10.1016/j.trpro.2017.03.094

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  • Comparative Analysis of Traffic State Estimation Cumulative Counts-Based and Trajectory-Based Methods

    Takahiro Tsubota, Ashish Bhaskar, Alfredo Nantes, Edward Chung, Vikash V. Gayah

    TRANSPORTATION RESEARCH RECORD   2491 ( 2491 )   43 - 52   2015

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    The macroscopic fundamental diagram (MFD) relates space-mean density and flow. Because the MFD represents areawide network traffic performance, perimeter control strategies and networkwide traffic state estimation using the MFD concept have been studied. Most previous works used data from fixed sensors, such as inductive loops, to estimate the MFD, which can cause biased estimation in urban networks because of queue spillovers at intersections. To overcome this limitation, recent literature reported on the use of trajectory data obtained from probe vehicles. However, these studies were conducted with simulated data sets; few works have discussed the limitations of real data sets and their impact on variable estimation. This study compares two methods for estimating traffic state variables of signalized arterial sections: a method based on cumulative vehicle counts (CUPRITE) and one based on vehicle trajectory from taxi GPS logs. The comparisons reveal some characteristics of taxi trajectory data available in Brisbane, Queensland, Australia. The current trajectory data have limitations in quantity (i.e., the penetration rate), because of which the traffic state variables tend to be underestimated. Nevertheless, the trajectory-based method successfully captures the features of traffic states, which suggests that the trajectories from taxis can be a good estimator for networkwide traffic states.

    DOI: 10.3141/2491-05

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  • Urban traffic state estimation: Fusing point and zone based data

    Ashish Bhaskar, Takahiro Tsubota, Le Minh Kieu, Edward Chung

    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES   48   120 - 142   2014.11

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    Loop detectors are the oldest and widely used traffic data source. On urban arterials, they are mainly installed for signal control. Recently state-of-the art Bluetooth MAC Scanners (BMS) has significantly captured the interest of stakeholders for exploiting it for area-wide traffic monitoring. Loop detectors provide flow - a fundamental traffic parameter; whereas BMS provides individual vehicle travel time between BMS stations. Hence, these two data sources complement each other, and if integrated should increase the accuracy and reliability of the traffic state estimation.
    This paper proposed a model that integrates loops and BMS data for seamless travel time and density estimation for urban signalised network. The proposed model is validated using both real and simulated data and the results indicate that the accuracy of the proposed model is over 90%. (C) 2014 Elsevier Ltd. All rights reserved.

    DOI: 10.1016/j.trc.2014.08.015

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  • Traffic Density Estimation of Signalised Arterials with Mid-Link Sinks and Sources

    坪田隆宏, BHASKAR Ashish, CHUNG Edward

    生産研究   66 ( 2 )   187 - 192   2014

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    This research aims to develop a reliable density estimation method for signalised arterials based on cumulative counts from upstream and downstream detectors. Although traffic density is a key variable for analysing network performance, its estimation is still challenging due to counting errors associated with urban arterials with mid-link sinks and sources. In order to overcome the issue, CUmulative plots and Probe Integration for Travel timE estimation (CUPRITE) is expanded for density estimation. CUPRITE reduces or cancels the counting inconsistencies when vehicles' conservation is not satisfied within a section by utilising probe vehicles' samples. The method is tested in a controlled environment, and the authors demonstrate the effectiveness of CUPRITE for density estimation in a signalised section.

    DOI: 10.11188/seisankenkyu.66.187

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  • Macroscopic Fundamental Diagram for Brisbane, Australia Empirical Findings on Network Partitioning and Incident Detection Reviewed

    Takahiro Tsubota, Ashish Bhaskar, Edward Chung

    TRANSPORTATION RESEARCH RECORD   2241 ( 2421 )   12 - 21   2014

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:NATL ACAD SCIENCES  

    The macroscopic fundamental diagram (MFD) relates space mean density and flow. The existence with dynamic features was confirmed in a congested urban network in downtown Yokohama, Japan, with a real data set. Because the MFD represents areawide network traffic performance, studies have reported on perimeter control strategies and areawide traffic state estimated with the MFD concept. However, few reports of real-world examples from signalized arterial networks are available. Data are fused from multiple sources (Bluetooth devices, loop detectors, and signal phase timing). A framework is presented for the development of the MFD for Brisbane, Queensland, Australia. Existence of the MFD in the Brisbane arterial network is confirmed. MFDs (from the entire network and several subregions) are evaluated to determine the spatial partitioning to represent network performance. The findings confirm the usefulness of appropriate network partitioning for traffic monitoring and incident detection. Future research directions are addressed.

    DOI: 10.3141/2421-02

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  • Traffic density estimation of signalised arterials with stop line detector and probe data Reviewed

    Takahiro Tsubota, Ashish Bhaskar, Edward Chung

    Journal of the Eastern Asia Society for Transport Studies   10   1750 - 1763   2013

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Eastern Asia Society for Transportation Studies  

    This research aims to develop a reliable density estimation method for signalised arterials based on cumulative counts from upstream and downstream detectors. In order to overcome counting errors associated with urban arterials with mid-link sinks and sources, CUmulative plots and Probe Integration for Travel timE estimation (CUPRITE) is employed for density estimation. The method, by utilizing probe vehicles' samples, reduces or cancels the counting inconsistencies when vehicles' conservation is not satisfied within a section. The method is tested in a controlled environment, and the authors demonstrate the effectiveness of CUPRITE for density estimation in a signalised section, and discuss issues associated with the method.

    DOI: 10.11175/easts.10.1750

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  • Benefit of Accident Reduction Considering the Improvement of Travel Time Reliability Reviewed

    Takahiro Tsubota, Harumi Kikuchi, Kazuhito Uchiumi, Hiroshi Warita, Fumitaka Kurauchi

    International Journal of Intelligent Transportation Systems Research   9 ( 2 )   64 - 70   2011.5

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    Traffic accidents often cause lane closure, and diminish stability of travel time as well as the level of road services. On the other hand, research on the implementation of ITS services aiming at the reduction of traffic accidents has made considerable progress lately. However there has been little discussion on the benefits obtained by traffic accident reduction from the view point of travel time reliability. Therefore, in this research, relationships between traffic accidents and travel time reliability are examined, and the benefit of traffic accident reduction is calculated based on the scheduling model under travel time uncertainties. The results show the significance of traffic accident reduction for the improvement of travel time reliability. © 2011 Springer Science+Business Media, LLC.

    DOI: 10.1007/s13177-011-0027-z

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  • Study on dynamic system optimum assignment to establish marginal time equilibrium

    Takahiro Tsubota, Masao Kuwahara

    New Developments in Transport Planning: Advances in Dynamic Traffic Assignment   231 - 248   2010.6

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    DOI: 10.4337/9781781000809.00020

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Books

  • 道路交通技術必携2024

    ( Role: Contributor第6編第3章)

    交通工学研究会・丸善出版  2024.3 

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  • 交通事故リスクマネジメントハンドブック

    ( Role: Contributor第Ⅰ編 第4章 4.2 交通事故リスク算定モデル)

    交通工学研究会・丸善出版  2023.6  ( ISBN:9784905990949

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  • International Encyclopedia of Transportation

    Takahiro Tsubota( Role: ContributorNon recurrent congestion)

    Elsevier  2021.5 

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  • International Encyclopedia of Transportation

    Takahiro Tsubota( Role: ContributorRecurrent congestion)

    Elsevier  2021.5 

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  • New Developments in Transport Planning - Advances in Dynamic Traffic Assignment

    Takahiro Tsubota, Masao Kuwahara( Role: ContributorStudy on Dynamic System Optimum Assignment to Establish Marginal Time Equilibrium)

    Edward Elgar Publishing  2010 

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MISC

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Presentations

  • A method for discriminating the states of signal intersection using probe travel time

    ZHANG Yuchen, YOSHII Toshio, TSUBOTA Takahiro

    Proceedings of the Conference of Japan Society of Traffic Engineers  2022  Japan Society of Traffic Engineers

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  • A Method for Detecting the Appearance of Macroscopic Congested State based on the Area Traffic State

    TAKATA Keisuke, MORIMOTOTO Yuji, YOSHII Toshio, TSUBOTA Takahiro

    Proceedings of the Conference of Japan Society of Traffic Engineers  2022  Japan Society of Traffic Engineers

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  • 右折車両を考慮した交差点改良 による渋滞対策

    宗光 太助, 吉井 稔雄, 倉内 慎也, 坪田 隆宏, 前野 慎介

    第41回交通工学研究発表会  2021.8 

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  • ネットワーク交通流ブレイクダウン判定方 法の構築

    森本 裕治, 坪田 隆宏, 吉井 稔雄, 飯星 明

    第41回交通工学研究発表会  2021.8 

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  • Effect of Traffic Accident on Arterial Road Network

    Rui Okuhara, Toshio Yoshii, Takahiro Tsubota, Hirotoshi Shirayanagi

    2021.6 

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  • A Factor Extraction Method using Deep Learning Technique on Traffic Accident Risk

    Celso Luis Fernando, Toshio Yoshii, Takahiro Tsubota, Hirotoshi Shirayanagi

    2021.6 

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  • Deep Learning Model for Predicting Traffic Accident Risk on an Expressway

    Takahiro Tsubota, Mamoru Shimmizu, Toshio Yoshii, Hirotoshi Shirayanagi

    2021.6 

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  • AIを用いたトンネル照明灯具の劣化予測モデル

    奥村尚登, 坪田隆宏, 吉井稔雄

    第63回土木計画学研究発表会  2021.6 

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    Presentation type:Poster presentation  

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  • 河川に関する記憶の空間的重なりが愛着意識に与える影響分析

    八木優弥, 白柳洋俊, 倉内慎也, 坪田隆宏

    第63回土木計画学研究発表会  2021.6 

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  • 見通しを考慮した生活道路交差点における交通事故リスク要因分析

    川本透, 吉井稔雄, 白柳洋俊, 坪田隆宏

    第63回土木計画学研究発表会  2021.6 

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  • MFDを用いた道路ネットワーク性能の動的変化解析手法

    奥原瑠依, 吉井稔雄, 坪田隆宏

    第63回土木計画学研究発表会  2021.6 

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  • 店舗ファサードの選好判断における注意の偏り効果分析

    村上悠斗, 白柳洋俊, 倉内慎也, 坪田隆宏

    第63回土木計画学研究発表会  2021.6 

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  • 交互作用項の多重共線性が ANN モデルのパフォーマンスに及ぼす影響

    Celso Luis FERNANDO, 吉井稔雄, 坪田隆宏, 白柳洋俊

    第18回ITSシンポジウム2020 

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    Event date: 2020.12

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  • 首都高速道路におけるAIを用いたオンライン事故リスク算定モデルの構築と活用可能性の検証

    田中淳, 吉井稔雄, 坪田隆宏, 田畑大, 川松祐太, Chhatkuli Subas, 城所貴之

    第18回ITSシンポジウム2020 

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  • 夜間走行時におけるドライバーの慣性転換効果分析

    白柳洋俊, 吉井稔雄, 倉内慎也, 坪田隆宏

    第18回ITSシンポジウム2020 

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  • AI を用いたネットワーク交通流ブレイクダウン発現予測モデル

    森本裕治, 坪田隆宏, 吉井稔雄

    第18回ITSシンポジウム2020 

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  • CNNモデルを用いた首都高速道路の事 故発生予測モデル, 新水衛

    新水衛, 吉井稔雄, 坪田隆宏, 田畑大, 田中淳

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    Event date: 2020.11

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  • 一般道路を対象とした 路面性状と交 通事故リスクの関係分析

    坪田隆宏, 吉井稔雄, 白柳洋俊, 倉内 慎也

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  • 抜け道利用車の走行特性と所要時間短縮効果の分析

    第40回交通工学研究発表会  2020.9 

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  • 夜間走行時におけるドライバーの外発性注意の特性分析

    田地竣, 白柳洋俊, 吉井稔雄, 倉内慎也, 坪田隆宏

    交通工学研究発表会論文集  2019.8 

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    Language:Japanese   Presentation type:Oral presentation (general)  

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  • 和風型街並の反復認知が和風建築要素の虚偽記憶に及ぼす影響

    白柳洋俊, 倉内慎也, 坪田隆宏

    土木計画学研究・講演集(CD-ROM)  2018.11 

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  • Effect of Road Pavement Ages on Traffic Accident Risks

    Takahiro Tsubota, Celso Fernando, Toshio Yoshii, Hirotoshi Shirayanagiq

    The International Symposium of Transport Simulation & International Workshop on Traffic Data and its Standardization 2018 (ISTS & IWTDCS 2018)  2018.8 

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  • 高速道路における舗装路面性状を考慮した交通事故リスク分析

    坪田隆宏, 吉井稔雄, 白柳洋俊, 倉内慎也

    土木計画学研究・講演集(CD-ROM)  2018.6 

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  • まちなか回遊時の記憶痕跡が主観的時間の歪みに与える影響

    白柳洋俊, 倉内慎也, 坪田隆宏, 吉井稔雄, 大田菜央

    土木計画学研究・講演集(CD-ROM)  2018.6 

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  • An analysis of the effect of road pavement materials and their ages on the accident risk on Hanshin Expressway

    TSUBOTA Takahiro

    2018.6 

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  • 阪神高速道路における舗装の供用年数を考慮した事故リスク分析

    河野颯舞, 吉井稔雄, 坪田隆宏, 白柳洋俊

    土木学会四国支部第24回技術研究発表会  2018.5 

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  • まちなか回遊時の店舗ファサードの記憶強度が主観的時間に及ぼす影響

    大田菜央, 白柳洋俊, 倉内慎也, 坪田隆宏

    土木学会四国支部第24回技術研究発表会  2018.5 

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  • Impact of Long-Continuous Driving Vehicles on Accident Risks

    Takahiro Tsubota, Toshio Yoshii, Koichi Ogura

    The 7th International Symposium on Transportation Network Reliability,  2018.1 

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  • 交差点における事故リスク推 定モデルの構築

    岡田洋晃, 吉井稔雄, 坪田隆宏, 白柳洋俊

    土木計画学研究・講演集(CD-ROM)  2018 

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  • Estimation of passengers' benefit accrued by expressway expansion using an integrated demand model

    2018 

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  • Investigation of the Effects of Traffic Safety and In-vehicle Criminality on Commuter’s Mode Choice Behaviour

    Audinda Virsa Leinia, Takahiro Tsubota, Toshio Yoshii

    International Symposium of the 11th Society for Social Management Systems  2017.9 

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  • 実走行とドライビングシミュレータにおけるドライバーの停止判断要因の差異

    田地竣, 白柳洋俊, 倉内慎也, 坪田隆宏

    土木学会四国支部第23回技術研究発表会  2017.5 

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  • ドライバーの個人差を考慮した連続運転時間と運転挙動の関係分析

    田中優司, 吉井稔雄, 坪田隆宏, 松下聖史

    土木学会四国支部第23回技術研究発表会  2017.5 

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  • A Study on Driver's Stopping Behavior Focusing on Generalization

    白柳 洋俊, 坪田 隆宏, 倉内 慎也, 吉井 稔雄, 田地 竣

    交通工学研究発表会論文集  2017  交通工学研究会

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    Language:Japanese  

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  • Speed Estimation Model for Signalised Arterials based on Aggregated QV Relationships

    坪田 隆宏, 吉井 稔雄, 原田 日郎, 神野 裕昭

    交通工学研究発表会論文集  2017  交通工学研究会

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  • Validation Study of Naïve Bayes Probabilistic Model for Transit Passengers’ Trip Purpose Estimation: Case Study Exploiting Detailed Brisbane Household Travel Survey Data

    Takahiko Kusakabe, Takahiro Tsubota, Ashish Bhaskar

    ransportation Research Board 95th Annual Meeting  2016.1 

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  • Real time information provision benefit measured by macroscopic fundamental diagram

    Tsubota, Takahiro, Bhaskar, Ashish, Chung, Edward, Geroliminis, Nikolaos

    World Conference on Transport Research (WCTR 2013)  2013.7 

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  • A FEASIBILITY STUDY OF AN AREA TRAFFIC CONTROL METHOD FOR TOKYO METROPOLITAN EXPRESSWAYS BASED ON MACROSCOPIC FUNDAMENTAL DIAGRAM

    Takahisa INATOMI, Hiroshi WARITA, Takashi OKANO, Takahiro TSUBOTA, Toshio YOSHII, Masao KUWAHARA

    OPTIMUM2013 - International Symposium on Recent Advances of Transport Modeling  2013.4 

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    Language:English  

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  • Traffic density estimation of signalised arterials with mid-link sinks and sources

    Takahiro Tsubota, Ashish Bhaskar, Edward Chung

    20th ITS World Congress Tokyo 2013  2013.1 

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    Event date: 2013.1

    This research aims to develop a reliable density estimation method for signalised arterials based on cumulative counts from upstream and downstream detectors. Although traffic density is a key variable for analyzing network performance, its estimation is still challenging due to counting errors associated with urban arterials with mid-link sinks and sources. In order to overcome the issue, CUmulative plots and Probe Integration for Travel timE estimation (CUPRITE) is employed for density estimation. CUPRITE reduces or cancels the counting inconsistencies when vehicles&#039; conservation is not satisfied within a section by utilizing probe vehicles&#039; samples. The method is tested in a controlled environment, and the authors demonstrate the effectiveness of CUPRITE for density estimation in a signalised section.

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  • Information provision and network performance represented by Macroscopic Fundamental Diagram

    Takahiro Tsubota, Ashish Bhaskar, Edward Chung, Nikolas Geroliminis

    Transportation Research Board 92nd Annual Meeting Proceedings  2013.1 

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    Event date: 2013.1

    Language:English  

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  • Empirical evaluation of Brisbane macroscopic fundamental diagram

    Takahiro Tsubota, Ashish Bhaskar, Edward Chung

    Australasian Transport Research Forum, ATRF 2013 - Proceedings  2013.1 

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    Event date: 2013.1

    Language:English  

    The Macroscopic Fundamental Diagram (MFD) relates space-mean density and flow, and the existence with dynamic features was confirmed in congested urban network with real data set from loop detectors and taxi probes. Since the MFD represents the area-wide network traffic performances, it gives foundations for perimeter control strategies and an area traffic state estimation enabling area-based network control. However, limited works have been reported on real world example from signalised arterial network. This paper fuses data from multiple sources (Bluetooth, Loops and Signals) and develops a framework for the development of the MFD for Brisbane. Existence of the MFD in Brisbane network is confirmed. Different MFDs (from whole network and several sub regions) are evaluated to discover the spatial partitioning in network performance representation.

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  • 首都高速道路を対象としたネットワーク評価手法の検討

    内海和仁, 大塚秀樹, 割田博, 坪田隆宏

    土木計画学研究・講演集(CD-ROM)  2010.6 

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    Event date: 2010.6

    Language:Japanese  

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  • 都市高速道路を対象とした旅行時間信頼性による新たな評価手法の研究

    割田博, 坪田隆宏, 船岡直樹, 宗像恵子

    土木計画学研究・講演集(CD-ROM)  2009.6 

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    Language:Japanese  

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  • 首都高速道路における所要時間信頼性向上便益の試算

    坪田隆宏, 菊地春海, 梶原一夫, 坂爪誠, 割田博, 倉内文孝

    土木計画学研究・講演集(CD-ROM)  2009.6 

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    Language:Japanese  

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  • 限界時間の均衡化による動的システム最適配分に関する研究

    坪田隆宏, 桑原雅夫

    土木計画学研究・講演集(CD-ROM)  2008.6 

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    Language:Japanese  

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  • AIを用いたトンネル照明灯具の劣化予測モデル

    奥村尚登, 坪田隆宏, 吉井稔雄

    2021 年度 土木学会四国支部 第27回技術研究発表会  2021.5 

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  • 交通事故発生による道路ネットワーク性能の動的変化解析手法

    奥原瑠依, 吉井稔雄, 坪田隆宏, 堀口睦美

    2021 年度 土木学会四国支部 第27回技術研究発表会  2021.5 

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  • 買い物トリップ発生間隔のモデル化による買い物頻度の予測精度

    多久和昌宏, 倉内慎也, 坪田隆宏

    2021 年度 土木学会四国支部 第27回技術研究発表会  2021.5 

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  • CNNを用いた都市間高速道路の交通事故リスク予測モデル

    坪田 隆宏, 吉井 稔雄, XING Jian

    第40回交通工学研究発表会  2020.9 

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  • 交通事故の影響によるMFD 形状変化分析

    奥原 瑠依, 吉井 稔雄, 坪田 隆宏, 尾高 慎二

    第40回交通工学研究発表会  2020.9 

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  • CNNを用いた渋滞発生予測モデル

    道原侑也, 吉井稔雄, 坪田隆宏

    第61回土木計画学研究発表会・春大会  2020.6 

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  • AIを用いたネットワーク交通流ブレイクダウン発現予測モデル

    森本裕治, 吉井稔雄, 坪田隆宏

    第61回土木計画学研究発表会・春大会  2020.6 

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  • Effect of the additional input using a data mining technique on the interpretability of the deep neural network

    2020.5 

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  • 交通事故の影響によるMFD形状の変化に関する分析

    奥原瑠依, 吉井稔雄, 坪田隆宏, 尾高慎二

    令和2年度四国支部技術研究発表会  2020.5 

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  • AIを用いたネットワーク交通流ブレイクダウン発現予測モデル

    森本裕治, 吉井稔雄, 坪田隆宏

    令和2年度四国支部技術研究発表会  2020.5 

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  • 深層学習による首都高速道路の事故発生予測モデル

    森本祐治, 吉井稔雄, 坪田隆宏, 全邦釘

    第60回土木計画学研究発表会  2019.12 

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  • CNNを用いた首都高速道路の事故発生予測モデル

    新水衛, 吉井稔雄, 坪田隆宏

    令和2年度四国支部技術研究発表会  2020.5 

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  • 一般街路における舗装材質を考慮した事故リスク分析

    坪田隆宏, 吉井稔雄, 白柳洋俊, 倉内慎也

    第60回土木計画学研究発表会  2019.12 

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  • 情報の提示方法を考慮した事故リスク情報提供効果分析

    吉井稔雄, 坪田隆宏, 倉内慎也, Xing Jian

    第60回土木計画学研究発表会  2019.12 

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  • CBD街路網を対象としたMFDの形状分析

    吉井稔雄, 坪田隆宏, Stephanie GITURU, 白柳洋俊

    第59回土木計画学研究発表会  2019.6 

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  • 松山外環状線整備による交通事故減少便益の定量評価

    坪田隆宏, 吉井稔雄, 倉内慎也, 白柳洋俊

    第59回土木計画学研究発表会  2019.6 

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  • ディープラーニングを用いた高速道路の路面劣化予測モデル

    橋本申, 吉井稔雄, 坪田隆宏, 全邦釘

    第59回土木計画学研究発表会  2019.6 

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  • THE RELATIONSHIP BETWEEN DRIVING TIME AND DRIVER’S BEHAVIOUR: A CASE STUDY AT A SAG Invited International conference

    TSUBOTA Takahiro

    removed: Think Mobility  2016.10  Smart Transport Research Centre, Queensland University of Technology

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    Language:English   Presentation type:Oral presentation (invited, special)  

    Venue:Brisbane, Australia  

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  • 特殊車両の折進可否判定に向けた交差点諸元の自動計測手法の検討

    藤村和紀, 坪田隆宏, 島津弘輝

    第68回土木計画学研究発表会  2023.11 

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  • Appropriate Traffic Safety Measures for Traffic Conditions with High Accident Risk

    Yoshitomo ORINO, Toshio YOSHII, Takahiro TSUBOTA, Ryo KATSUMURA

    THE 15TH INTERNATIONAL CONFERENCE OF THE EASTERN ASIA SOCIETY FOR TRANSPORTATION STUDIES 2023 (EASTS 2023)  2023.9 

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  • Effectiveness of Accident Risk Information Based on Information Types

    THE 15TH INTERNATIONAL CONFERENCE OF THE EASTERN ASIA SOCIETY FOR TRANSPORTATION STUDIES 2023 (EASTS 2023)  2023.9 

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  • Understandability of accident risk information on road information boards

    Ryo Katsumura, Toshio Yoshii, Takahiro Tsubota, Yoshitomo Orino

    2023.6 

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  • プローブ旅行時間を用いた信 号交差点アプローチの交通流 状態判別手法

    髙田 啓介, 吉井 稔雄, 坪田 隆宏

    第43回交通工学研究発表会  2023.8 

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  • 事故リスク情報を活用した交通安全マネジメント

    勝村涼, 吉井稔雄, 坪田隆宏, 倉内慎也, 折野好倫

    第67回土木計画学研究発表会  2023.6 

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  • Use of vehicle trajectory information in deep learning model for predicting traffic accident occurrence

    International Symposium on Transportation Data & Modelling (ISTDM2023)  2023.6 

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  • プローブデータから得られる負荷率情報を用いた動的な交通信号制御手法の有効性検証

    坂井仁紀, 髙田啓介, 坪田隆宏, 吉井稔雄

    第67回土木計画学研究発表会  2023.6 

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  • 事故リスク情報を活用した交通安全マネジメント

    勝村涼,吉井稔雄,坪田隆宏,倉内慎也,折野好倫

    土木学会四国支部技術研究発表会  2023.5 

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  • プローブデータから得られる負荷率情報を用いた交通信号制御手法の有効性検証

    坂井仁紀, 髙田啓介, 坪田隆宏, 吉井稔雄

    土木学会四国支部技術研究発表会  2023.5 

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  • 交差点諸元による特殊車両の折進可否判定モデルの構築

    島津弘輝, 坪田隆宏, 中谷勇太, 塩見康博

    第66回土木計画学研究発表会  2022.11 

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  • 青時間使用率を用いた信号制御アルゴリズムの考案

    髙田啓介, 吉井稔雄, 坪田隆宏, 倉内慎也, 堀口睦美

    土木学会四国支部技術研究発表会  2023.5 

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  • 運輸部門におけるカーボンニュートラル実現に向けた交通都市計画

    清広晃輝, 吉井稔雄, 倉内慎也, 坪田隆宏, 白柳洋俊

    第65回土木計画学研究発表会  2022.6 

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  • 畳み込みニューラルネットワークによる都市間高速道路の渋滞発生予測モデル

    坪田隆宏, 砂侑奈, 吉井稔雄

    第66回土木計画学研究発表会  2022.11 

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  • まちづくりをめぐるメタステレオタイプ的情報がステレオタイプに与える影響分析

    野添愛美, 白柳洋俊, 倉内慎也, 坪田隆宏

    第65回土木計画学研究発表会  2022.6 

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  • トンネル照明取付具の劣化診断の精度向上に向けたデータ拡張方法の検討

    奥村尚登, 村井遥己, 坪田隆宏, 吉井稔雄

    第65回土木計画学研究発表会  2022.6 

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  • エリア交通流状態における渋滞領域の出現検出手法

    髙田啓介, 森本裕治, 吉井稔雄, 坪田隆宏, 堀口睦美

    2022 年度 土木学会四国支部 第28回技術研究発表会  2022.5 

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  • トンネル照明灯具の劣化診断の精度向上に関する研究

    奥村尚登, 村井遥己, 坪田隆宏, 吉井稔雄

    2022 年度 土木学会四国支部 第28回技術研究発表会  2022.5 

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  • 競合危険モデルによるトリップ発生間隔のモデル化

    多久和昌宏, 倉内慎也, 吉井稔雄, 坪田隆宏, 白柳洋俊

    2022 年度 土木学会四国支部 第28回技術研究発表会  2022.5 

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  • 定住促進に向けた景観価値の認識と場所愛着に関する研究

    寺川佳奈子, 渡邉友泰, 白柳洋俊, 倉内慎也, 吉井稔雄, 坪田隆宏

    2022 年度 土木学会四国支部 第28回技術研究発表会  2022.5 

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  • まちづくりを巡るメタステレオタイプ的情報がステレオタイプに与える影響分析

    野添愛美, 白柳洋俊, 倉内慎也, 吉井稔雄, 坪田隆宏

    2022 年度 土木学会四国支部 第28回技術研究発表会  2022.5 

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  • 特殊車両の交差点折進可否自動判定手法の 検討と考察

    坪田 隆宏, 島津 弘輝, 藤村 和紀

    第35回日本道路会議  2023.11 

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  • 信号制御パラメータ改良による渋滞対策実施効果

    吉井稔雄, 森倉遼太, 河本一, 坪田隆宏, 高橋翔

    2024.11 

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  • プローブ旅行時間に基づくスプ リット逐次更新信号制御

    高田啓介, 吉井稔雄, 坪田隆宏

    第44回交通工学研究発表会  2024.8 

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  • 交通シミュレーションを活用した信号制御パラメータ改良効果の定量的評価

    河本一, 吉井稔雄, 坪田隆宏

    土木学会四国支部技術研究発表会  2024.6 

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  • CNN と Grad-CAM を活用した事故地点予測手法

    矢端伸一朗, 坪田隆宏, 吉井稔雄

    土木学会四国支部技術研究発表会  2024.6 

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  • 松山都市圏居住者の中心市街地での消費活動に関する基礎的分析

    後藤大輝, 倉内慎也, 白柳洋俊, 坪田隆宏

    土木学会四国支部技術研究発表会  2024.6 

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  • 事故リスク予測モデルの出力に対する寄与度情報を活用した事故地点予測手法

    矢端伸一朗, 坪田隆宏, 吉井稔雄, Jian Xing

    第69回土木計画学研究発表会  2024.5 

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Industrial property rights

  • 事故予測方法、コンピュータプログラム、事故予測装置及び学習モデル生成方法

    田中 淳,泉 典宏,後藤 秀典,城所 貴之,チャタクリ スバス,吉井 稔雄,坪田 隆宏,田畑 大

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    Application no:特願2020-86643  Date applied:2020.5

    Announcement no:特開2021-182189  Date announced:2021.11

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Awards

  • 教育貢献賞

    2024.7   愛媛大学工学部  

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  • 安全の泉賞

    2020   交通工学研究会   交通事故の影響によるMFD形状変化分析

    奥原 瑠依, 吉井 稔雄, 坪田 隆宏, 尾高 慎二

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Research Projects

  • 予測劣化度に基づく道路舗装の安全性能評価手法の開発

    2023.4 - 2026.3

    日本学術振興会  科学研究費助成事業 基盤研究(C) 

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    Authorship:Principal investigator 

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  • 走行撮影画像を用いた高速道路トンネル照明劣化度診断手法の開発

    2023.4 - 2024.3

    一般社団法人四国クリエイト協会  建設事業に関する技術開発 

    吉井稔雄,木村正義,三宅賢二

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    Authorship:Principal investigator 

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  • 高速道路トンネル照明灯具を対象とした劣化度の定量評価と劣化速度推定手法の開発

    2023.4 - 2024.3

    一般財団法人 上田記念財団  第14期社会資本維持補修に関する研究 

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    Authorship:Principal investigator 

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  • 長期ICカードデータの学習モデルに基づくエンドユーザー指向公共交通サービスの創出

    2022.4 - 2025.3

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    西内 裕晶, 坪田 隆宏, 倉内 文孝, 塩見 康博, 嶋本 寛, 力石 真

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    Grant amount:\16770000 ( Direct Cost: \12900000 、 Indirect Cost:\3870000 )

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  • ネットワーク交通流ブレイクダウン予測手法の開発

    2021 - 2024

    日本学術振興会  科学研究費助成事業 基盤研究(B) 

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    Authorship:Coinvestigator(s) 

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  • 特殊車両の折進可否判定の自動化と特車フリー道路ネットワーク計画手法の研究開発

    2021 - 2024

    国土交通省 道路局  道路政策の質の向上に資する技術研究開発 

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    Authorship:Coinvestigator(s) 

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  • ディープラーニングによる交通事故リスク予測モデルの開発

    2020 - 2022

    日本学術振興会 科学研究費助成事業 若手研究 

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    Authorship:Principal investigator 

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  • ディープラーニングによる高速道路ネット ワーク安全性評価モデルの開発

    2019.4 - 2020.3

    阪神高速道路株式会社  阪神高速若手研究者助成基金 

    坪田 隆宏

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    Authorship:Principal investigator  Grant type:Competitive

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  • グラフィカルモデルを用いた運転馴化状態の検出手法

    2017.4 - 2019.3

    日本学術振興会  科学研究費助成事業 若手研究(B) 

    坪田 隆宏

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    Authorship:Principal investigator  Grant type:Competitive

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Teaching Experience (On-campus)

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Teaching Experience

  • Introduction to Human Science

    2024 Institution:Ehime University

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  • 新入生セミナーB

    2023 Institution:愛媛大学

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  • 地域社会デザイン演習

    2023 Institution:愛媛大学

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  • センシングと応用

    2023 Institution:愛媛大学

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  • 建設分野のデジタル技術

    2023 Institution:愛媛大学

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  • 工学倫理・知財・キャリア―リテラシーII

    2021 Institution:愛媛大学

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  • 瀬戸内工学

    2021 Institution:愛媛大学

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  • システム工学論

    2020 Institution:愛媛大学

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  • 社会資本の整備と運用

    2020 Institution:愛媛大学

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  • 地域社会デザイン演習

    2020 - 2023.3

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  • サステイナブル地域マネジメント演習

    2020 - 2022 Institution:愛媛大学

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  • 工学入門

    2020 Institution:愛媛大学

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  • 学部共通実験

    2019 Institution:愛媛大学

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  • 連続体の力学

    2017 - 2019 Institution:愛媛大学

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  • 地域社会プロジェクト実習2

    2017 - 2019

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  • 土木計画学及び同演習

    2016 Institution:愛媛大学

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