Tsubota Takahiro 坪田隆宏

Researcher Number	00780066
Other IDs
Affiliation (Current)	2025: 愛媛大学, 理工学研究科(工学系), 准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 愛媛大学, 理工学研究科(工学系), 准教授 2020 – 2022: 愛媛大学, 理工学研究科(工学系), 講師 2017 – 2018: 愛媛大学, 理工学研究科(工学系), 助教
Review Section/Research Field	Principal Investigator Basic Section 22050:Civil engineering plan and transportation engineering-related / Civil engineering project/Traffic engineering Except Principal Investigator Basic Section 22050:Civil engineering plan and transportation engineering-related
Keywords	Principal Investigator 深層学習 / 事故リスク / 交通事故リスク / 交通安全 / 劣化予測 / 維持管理 / 道路舗装 / ビッグデータ / 交通マネジメント / 高速道路 … More / Traffic Safety / 畳込ニューラルネットワーク / Deep Learning / Accident Risk / Accident prediction / 畳込みニューラルネットワーク / Deep learning / Traffic engineering / Traffic accident / 馴化 / 長時間運転 / プローブカーデータ / 交通工学・国土計画 / 交通事故 / サグ / ポアソン回帰モデル / プローブデータ / 運転馴化 / 連続運転時間 … More Except Principal Investigator 公共交通 / ICカード / 深層学習 / 交通行動モデル / 公共交通計画 / 公共交通サービス / SP調査 / 離散連続モデル / 休眠化・離反化 / 利用頻度 / 割引施策 / MaaS / 公共交通利用頻度 / 交通行動変容 / 公共交通料金施策 / ICカードデータ / 交通事故 / ネットワーク / 事故リスク / 予測手法 / 画像処理 / ネットワークネットワーク / ブレイクダウン / 交通流 Less

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Principal Investigator
- Principal Investigator
  
  坪田隆宏
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 22050:Civil engineering plan and transportation engineering-related
- Research Institution
  Ehime University
Creation of end-user oriented public transport services based on long-term smart card data learning model
- Principal Investigator
  
  西内裕晶
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 22050:Civil engineering plan and transportation engineering-related
- Research Institution
  Kochi University of Technology
Development of a network traffic breakdown prediction method
- Principal Investigator
  
  YOSHII TOSHIO
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 22050:Civil engineering plan and transportation engineering-related
- Research Institution
  Ehime University
Deep learning model for accident risk predictionPrincipal Investigator
- Principal Investigator
  
  Tsubota Takahiro
- Project Period (FY)
  2020 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 22050:Civil engineering plan and transportation engineering-related
- Research Institution
  Ehime University
Detection of driving fatigue due to long continuous driving based on a graphical modelPrincipal Investigator
- Principal Investigator
  
  Tsubota Takahiro
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Civil engineering project/Traffic engineering
- Research Institution
  Ehime University

All 2024 2023 2022 2021 2020 2018 2017

All Journal Article Presentation

[Journal Article] Effectiveness of Accident Risk Information Based on Information Types2024
- Author(s)
  Takahiro TSUBOTA, Toshio YOSHII, Shinya KURAUCHI, Jian XING
- Journal Title
  
  Journal of the Eastern Asia Society for Transportation Studies
  
  Volume: in press
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01457
[Journal Article] Effectiveness of Accident Risk Information Based on Information Types2023
- Author(s)
  Takahiro TSUBOTA, Toshio YOSHII, Shinya KURAUCHI, Jian XING
- Journal Title
  
  Journal of the Eastern Asia Society for Transportation Studies
  
  Volume: in press
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K04061
[Journal Article] A method for classifying the traffic states of signalized intersection using probe travel time2023
- Author(s)
  吉井稔雄, 張ウチン，坪田隆宏
- Journal Title
  
  JSTE Journal of Traffic Engineering
  
  Volume: 9 Issue: 2 Pages: A_246-A_252
- DOI
  10.14954/jste.9.2_A_246
- ISSN
  2187-2929
- Year and Date
  2023-02-01
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01457
[Journal Article] EFFECT OF TRAFFIC ACCIDENT INFORMATION PROVISION ON EXPRESSWAY NETWORK CONSIDERING INFORMATION TYPES2022
- Author(s)
  TSUBOTA Takahiro、YOSHII Toshio、KURAUCHI Shinya、XING Jian
- Journal Title
  
  Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
  
  Volume: 77 Issue: 5 Pages: I_985-I_993
- DOI
  10.2208/jscejipm.77.5_I_985
- ISSN
  2185-6540
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01457, KAKENHI-PROJECT-19H02268
[Journal Article] 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2022
- Author(s)
  吉井稔雄，川本透，白柳洋俊，坪田隆宏
- Journal Title
  
  土木学会論文集D3，Vol.77
  
  Volume: －
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21H01457
[Journal Article] A Method for Detecting the Appearance of Macroscopic Congested State based on the Area Traffic State2022
- Author(s)
  髙田啓介、森本裕治、吉井稔雄、坪田隆宏
- Journal Title
  
  Proceedings of the Conference of Japan Society of Traffic Engineers
  
  Volume: 42 Issue: 0 Pages: 519-522
- DOI
  10.14954/jsteproceeding.42.0_519
- ISSN
  2758-3635
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21H01457, KAKENHI-PROJECT-19H02268
[Journal Article] PREDICTION OF TRAFFIC ACCIDENT LIKELIHOOD ON INTERCITY EXPRESSWAY BY CONVOLUTIONAL NEURAL NETWORK2020
- Author(s)
  Takahiro TSUBOTA, Toshio YOSHII, Jian XING
- Journal Title
  
  Intelligence, Informatics and Infrastructure
  
  Volume: 1 Issue: 1 Pages: 11-17
- DOI
  10.11532/jsceiii.1.1_11
- NAID
  130007940725
- ISSN
  2435-9262
- Year and Date
  2020-11-11
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K14851, KAKENHI-PROJECT-17H01297, KAKENHI-PROJECT-19H02268
[Journal Article] AN ANALYSIS OF TRAFFIC ACCIDENT RISKS CONSIDERING LONG CONTINUOUS DRIVING VEHICLES2018
- Author(s)
  坪田隆宏, 吉井稔雄, 白柳洋俊, 小倉晃一
- Journal Title
  
  Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management)
  
  Volume: 74 Issue: 5 Pages: I_1275-I_1282
- DOI
  10.2208/jscejipm.74.I_1275
- NAID
  130007555831
- ISSN
  2185-6540
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K14740
[Presentation] Use of vehicle trajectory information in deep learning model for predicting traffic accident occurrence2023
- Author(s)
  Takahiro Tsubota, Yuna Isago, Toshio Yoshii, Jian Xing
- Organizer
  International Symposium on Transportation Data & Modelling (ISTDM2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K04061
[Presentation] Use of vehicle trajectory information in deep learning model for predicting traffic accident occurrence2023
- Author(s)
  Takahiro Tsubota, Yuna Isago, Toshio Yoshii, Jian Xing
- Organizer
  International Symposium on Transportation Data & Modelling (ISTDM2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01457
[Presentation] Effect of the Multicollinearity of Interaction Terms on the Performance of the ANN Model2021
- Author(s)
  Celso Luis FERNANDO, Toshio YOSHII, Takahiro TSUBOTA, Hirotoshi SHIRAYANAGI
- Organizer
  The 14th International Conference of Eastern Asia Society for Transportation Studies (EASTS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01457
[Presentation] Effect of the Multicollinearity of Interaction Terms on the Performance of the ANN Model2021
- Author(s)
  Celso Luis FERNANDO, Toshio YOSHII, Takahiro TSUBOTA, Hirotoshi SHIRAYANAGI
- Organizer
  Proceedings of the Eastern Asia Society for Transportation Studies
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14851
[Presentation] Deep Learning Model for Predicting Traffic Accident Risk on an Expressway2021
- Author(s)
  Takahiro Tsubota, Mamoru Shimmizu, Toshio Yoshii, Hirotoshi Shirayanagi
- Organizer
  2021 International Symposium on Transportation Data & Modelling (ISTDM 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14851
[Presentation] A Factor Extraction Method using Deep Learning Technique on Traffic Accident Risk2021
- Author(s)
  Celso Luis Fernando, Toshio Yoshii, Takahiro Tsubota, Hirotoshi Shirayanagi
- Organizer
  2021 International Symposium on Transportation Data & Modelling (ISTDM 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01457
[Presentation] Deep learning model for predicting traffic accident risk on an expressway2021
- Author(s)
  Takahiro Tsubota, Mamoru Shimmizu, Toshio Yoshii, Hirotoshi Shirayanagi
- Organizer
  2021 International Symposium on Transportation Data & Modelling (ISTDM 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21H01457
[Presentation] ネットワーク交通流ブレイクダウン判定方法の構築2021
- Author(s)
  森本裕治, 吉井稔雄, 坪田隆宏, 飯星明
- Organizer
  第41回交通工学研究発表会
- Data Source
  KAKENHI-PROJECT-21H01457
[Presentation] A Factor Extraction Method using Deep Learning Technique on Traffic Accident Risk2021
- Author(s)
  Celso Luis Fernando, Toshio Yoshii, Takahiro Tsubota, Hirotoshi Shirayanagi
- Organizer
  2021 International Symposium on Transportation Data & Modelling (ISTDM 2021)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K14851
[Presentation] 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2020
- Author(s)
  坪田隆宏, 吉井稔雄, XING Jian
- Organizer
  第40回交通工学研究発表会
- Data Source
  KAKENHI-PROJECT-20K14851
[Presentation] 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2020
- Author(s)
  Celso Luis FERNANDO, 吉井稔雄, 坪田隆宏, 白柳洋俊
- Organizer
  第18回ITSシンポジウム2020
- Data Source
  KAKENHI-PROJECT-20K14851
[Presentation] 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2020
- Author(s)
  田中淳, 吉井稔雄, 坪田隆宏, 田畑大, 川松祐太, Chhatkuli Subas, 城所貴之
- Organizer
  第18回ITSシンポジウム2020
- Data Source
  KAKENHI-PROJECT-20K14851
[Presentation] Impact of Long-Continuous Driving Vehicles on Accident Risks2018
- Author(s)
  Takahiro Tsubota
- Organizer
  SoCal-Japan Workshop: Advanced Traffic Management and Control in the Era of Connected and Autonomous Driving
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14740
[Presentation] Impact of Long-Continuous Driving Vehicles on Accident Risks2018
- Author(s)
  Takahiro Tsubota, Toshio Yoshii, Koichi Ogura
- Organizer
  7th International Symposium on Transportation Network Reliability
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-17K14740
[Presentation] 長時間連続運転車両が事故発生リスクに与える影響分析2017
- Author(s)
  小倉晃一，坪田隆宏，吉井稔雄，白柳洋俊
- Organizer
  第55回土木計画学研究発表会
- Data Source
  KAKENHI-PROJECT-17K14740

1. 塩見康博 (40422993)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
2. 西内裕晶 (40548096)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
3. YOSHII TOSHIO (90262120)

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
4. 川崎洋 (80361393)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
5. 小野晋太郎 (80526799)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 倉内文孝 (10263104)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 嶋本寛 (90464304)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 力石真 (90585845)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Tsubota Takahiro 坪田 隆宏

Research Projects

Research Products

Co-Researchers

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Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Creation of end-user oriented public transport services based on long-term smart card data learning model

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a network traffic breakdown prediction method

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Deep learning model for accident risk predictionPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Detection of driving fatigue due to long continuous driving based on a graphical modelPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Effectiveness of Accident Risk Information Based on Information Types2024

Author(s)

Journal Title

Data Source

[Journal Article] Effectiveness of Accident Risk Information Based on Information Types2023

Author(s)

Journal Title

Data Source

[Journal Article] A method for classifying the traffic states of signalized intersection using probe travel time2023

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] EFFECT OF TRAFFIC ACCIDENT INFORMATION PROVISION ON EXPRESSWAY NETWORK CONSIDERING INFORMATION TYPES2022

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] 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2022

Author(s)

Journal Title

Data Source

[Journal Article] A Method for Detecting the Appearance of Macroscopic Congested State based on the Area Traffic State2022

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] PREDICTION OF TRAFFIC ACCIDENT LIKELIHOOD ON INTERCITY EXPRESSWAY BY CONVOLUTIONAL NEURAL NETWORK2020

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Journal Article] AN ANALYSIS OF TRAFFIC ACCIDENT RISKS CONSIDERING LONG CONTINUOUS DRIVING VEHICLES2018

Author(s)

Journal Title

Tsubota Takahiro 坪田隆宏