Toru Seo

Profile Information

Affiliation: Tokyo Institute of Technology

Degree: Dr. Eng.(Sep, 2015, Tokyo Institute of Technology)

Researcher number: 90774779
ORCID ID: https://orcid.org/0000-0001-9767-7218
J-GLOBAL ID: 201601018274391669
Researcher ID: I-3748-2016
researchmap Member ID: B000253875

External link: https://toruseo.github.io/index_en.html

Toru Seo is an Associate Professor at Tokyo Institute of Technology. He had earned his doctoral degree in 2015 at Tokyo Institute of Technology, and he had worked at University of Michigan as a postdoc and the University of Tokyo as an Assistant Professor. His primary research interests are transportation science, traffic flow theory, transportation data analysis, and transportation system modeling and management. He received the Transportation Research Part C Best Paper Award 2017, Kometani-Sasaki Prize for Dissertation, and Best Paper Award at IEEE ITSC 2015.

Research Interests

Research Areas

Social infrastructure (civil Engineering, architecture, disaster prevention) / Civil engineering (planning and transportation) /

Research History

Apr, 2021 - Present

Associate Professor, Department of Civil and Environmental Engineering, School of Environment and Society, Tokyo Institute of Technology
Jun, 2018 - Mar, 2021

Assistant Professor, Department of Civil Engineering, The University of Tokyo
Aug, 2017 - May, 2018

Research Associate, University of Michigan
Apr, 2016 - May, 2018

Research Associate, Asakura Lab., Tokyo Institute of Technology
Jun, 2017 - Aug, 2017

Visiting Scholar, University of Michigan
Oct, 2015 - Mar, 2016

Research Fellow (PD), JSPS
Apr, 2014 - Sep, 2015

Research Fellow (DC2), JSPS

Education

Apr, 2013 - Sep, 2015

Tokyo Instiute of Technology

Books and Other Publications

Macroscopic Traffic Simulation: Fundamental Mathematical Theory and Python Implementation

Toru Seo

Corona Publishing Co., Ltd., Oct, 2023 (ISBN: 9784339052794)
International Encyclopedia of Transportation

Vickerman, R. (Ed.) (Role: Contributor, Vol.4, "Bottleneck" (pp.134-142) and "Flow Breakdown" (pp.143-153) with K. Wada and Y. Shiomi)

Elsevier, 2021

Papers

A macro-micro approach to reconstructing vehicle trajectories on multi-lane freeways with lane changing

Xuejian Chen, Guoyang Qin, Toru Seo, Juyuan Yin, Ye Tian, Jian Sun

Transportation Research Part C: Emerging Technologies, 160 104534-104534, Mar, 2024 Peer-reviewed
コネクティッドカーデータとスパースモデリングに基づく区間別流率密度関係の推定

小田紘生, 瀬尾亨, 中西航

第43回交通工学研究発表会論文集, 513-520, Aug, 2023 Peer-reviewed
空間解像度の高い低混入率のコネクティッドカー軌跡データによる信号交差点の交通流率推定手法の予備的検証

瀬尾亨, 日下部貴彦, 塩見康博, 大口敬

第43回交通工学研究発表会論文集, 505-512, Aug, 2023 Peer-reviewedLead authorCorresponding author
Integrated Public Transportation System with Shared Autonomous Vehicles and Fixed-Route Transits: Dynamic Traffic Assignment-Based Model with Multi-Objective Optimization

Ryota Maruyama, Toru Seo

International Journal of Intelligent Transportation Systems Research, 21(1) 99-114, Jan 17, 2023 Peer-reviewedLast authorCorresponding author
Fundamental diagram of urban rail transit considering train–passenger interaction

Toru Seo, Kentaro Wada, Daisuke Fukuda

Transportation, Apr 22, 2022 Peer-reviewedLead authorCorresponding author
DATA-DRIVEN DYNAMIC CONGESTION TOLL OPTIMIZATION METHODS BASED ON REINFORCEMENT LEARNING

Kimihiro SATO, Toru SEO, Takashi FUSE

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 76(5) I_1273-I_1285, 2021 Peer-reviewed
Multi-Objective Linear Optimization Problem for Strategic Planning of Shared Autonomous Vehicle Operation and Infrastructure Design

Toru Seo, Yasuo Asakura

IEEE Transactions on Intelligent Transportation Systems, 2021 Peer-reviewedLead authorCorresponding author
Fundamental diagram estimation by using trajectories of probe vehicles

Seo, T, Kawasaki, Y, Kusakabe, T, Asakura, Y

Transportation Research Part B: Methodological, 122 40-56, 2019 Peer-reviewed
Traffic state estimation using satellite remote sensing and probe vehicles

Seo, T, Kusakabe, T

JSTE Journal of Traffic Engineering, 5(2) A_1-A_10, 2019 Peer-reviewed
Interactive online machine learning approach for activity-travel survey

Toru Seo, Takahiko Kusakabe, Hiroto Gotoh, Yasuo Asakura

Transportation Research Part B: Methodological, in press, 2018 Peer-reviewed
Evolution of a dynamic ridesharing system based on rational behaviour of users

Thaithatkul, P, Seo, T, Kusakabe, T, Asakura, Y

International Journal of Sustainable Transportation, in press, 2018 Peer-reviewed
Optimum routing of ride share vehicles for given activity patterns

Aiko, S, Thaithatkul, P, Seo, T, Asakura, Y

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 73(5) I_1233-I_1242, Dec, 2017 Peer-reviewed
Recent advances in kinematic wave theory of traffic flows: variational formulation and network extension

Wada, K, Seo, T, Nakanishi, W, Satsukawa, K, Yanagihara, M

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 73(5) I_1139-I_1158, Dec, 2017 Peer-reviewed
Evaluation of area level travel time reliability using large-scale probe vehicle trajectories recorded for a long period

Fukuda, D, Mizuguchi, M, Seo, T, Kusakabe, T, Asakura, Y

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 73(5) I_1105-I_1118, Dec, 2017 Peer-reviewed
Trip purpose estimation method for probe person survey using sequential learning

Seo, T, Kusakabe, T, Asakura, Y

Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management), 73(5) I_517-I_526, Dec, 2017 Peer-reviewed
Analysis of spatiotemporal dependencies in two-dimensional traffic flow in large-scale urban area with probe vehicle data

Lykov, S, Seo, T, Asakura, Y

Journal of the Eastern Asia Society for Transportation Studies, 12 1676-1696, 2017 Peer-reviewed
Traffic state estimation on highway: A comprehensive survey

Toru Seo, Alexandre M. Bayen, Takahiko Kusakabe, Yasuo Asakura

Annual Reviews in Control, 43 128-151, Jan, 2017 Peer-reviewed
プローブカー軌跡を用いた流率密度関係の推定―EMアルゴリズムを用いた手法と実データに基づく検証

川崎雄嵩, 瀬尾亨, 日下部貴彦, 朝倉康夫

第36回交通工学研究発表会論文集, 7-14, 2016 Peer-reviewed
Methodology for Calibration of Fundamental Diagram based on Trajectories of Sampled Vehicles: Concept and Numerical Experiment

瀬尾亨, 日下部貴彦, 朝倉康夫

交通工学論文集, 2(2) A.1-A.10, 2016 Peer-reviewed
Probe vehicle-based traffic state estimation method with spacing information and conservation law

Toru Seo, Takahiko Kusakabe

Transportation Research Part C: Emerging Technologies, 59 391-403, Oct, 2015 Peer-reviewed

Misc.

多クラス多車線の交通流モデル

瀬尾亨, 柳原正実

交通工学, 52(4) 27-32, Oct, 2017 Invited
追従モデルとしてのKWモデル

瀬尾亨

交通工学, 52(4) 23-26, Oct, 2017 Invited
Recent advances in kinematic wave theory of traffic flows

Kentaro Wada, Toru Seo, Wataru Nakanishi, Koki Satsukawa, Masami Yanagihara

Working Paper, Feb, 2017

Presentations

Traffic flow monitoring with cutting-edge technology

Toru Seo

International Workshop on Quality Transport in the Age of Cutting-edge Technology, 2019 Invited
自動運転時代の交通システム理論：展望と課題

瀬尾亨

G空間EXPO，CSISシンポジウム, 2019 Invited

Works

UXsim: Python製のフリーの交通流シミュレータ

Toru Seo

Oct, 2023 Software
OSMに基づく日本主要道路地図の可視化用データ

瀬尾亨

2020 Database
319

Kinematic Wave Models: Examples of Basic Theory

Toru Seo

2017 Educational material

Awards

Nov, 2017

Outstanding Paper Award, Committee of Infrastructure Planning and Management, Japan Society of Civil Engineers

Seo, T, Kusakabe, T, Asakura, Y
Jul, 2017

TRC Best Paper Award 2017, Transportation Research Part C: Emerging Technologies

Toru Seo, Takahiko Kusakabe, Yasuo Asakura
Nov, 2016

Kometani–Sasaki Award (for Dissertation), Institute of Systems Science Research

Toru Seo
Jun, 2016

The 30th Japan Society of Traffic Engineers Paper Prize,, Japan Society of Traffic Engineers

Naoya Narioka, Toru Seo, Takahiko Kusakabe, Yasuo Asakura
Sep, 2015

Best Paper Award, IEEE 18th International Conference on Intelligent Transportation Systems

Toru SEO, Takahiko KUSAKABE, Yasuo ASAKURA
Aug, 2014

Research Encouragement Award, The 34th Conference of Japan Society of Traffic Engineers
Dec, 2013

Outstanding Paper Award, The 30th Japan Road Conference

Naoya Narioka, Toru Seo, Takahiko Kusakabe, Yasuo Asakura

Professional Memberships

Research Projects

カメラ画像および複数の観測データを融合した次世代交通計測手法に関する研究開発

新道路技術会議道路政策の質の向上に資する技術研究開発, 国土交通省, Apr, 2021 - Mar, 2024

柳沼秀樹
Estimation, prediction, and control of road transportation system by integrating traffic flow theory and machine learning

Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (B), Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2020 - Mar, 2024
Traffic flow optimization by intervention control to automated vehicles

KAKENHI Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2019 - Mar, 2022

Yasuhiro Shiomi
Facility location and transportation management considering multi-scale modal cooperation

Research Fund by Committee on Advanced Road Technology, Ministry of Land, Infrastructure, Transport and Tourism, Japan, Apr, 2019 - Mar, 2022

Takahiko Kusakabe
Research and Development of Tourism Congestion Management based on Data-driven Monitoring and Prediction of Traffic Flow

Research Fund by Committee on Advanced Road Technology, Ministry of Land, Infrastructure, Transport and Tourism, Apr, 2018 - Mar, 2021

Takashi Fuse
Research on mathematical models for management of large-scale transportation network under mega disaster

KAKENHI Grant-in-Aid for Scientific Research (A), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2021

Yasuo Asakura
Development of framework for analyzing urban railway system with high frequent operation

KAKENHI Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2020

Daisuke Fukuda
Development and Validation of Dynamical Traffic Flow Model Considering Inter-vehicle Heterogeneity

KAKENHI Grant-in-Aid for Young Scientists (B), Japan Society for the Promotion of Science, Apr, 2016 - Mar, 2020

Toru Seo
Market penetration of automated vehicle technology and its impacts to society: Interdisciplinary approach based on traffic engineering and transportation economics

KAKENHI Grant-in-Aid for Challenging Research (Exploratory), Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2019

Daisuke Fukuda
Road network traffic estimation using information from on-vehicle cameras of probe vehicles

KAKENHI Grant-in-Aid for JSPS Fellows, Japan Society for the Promotion of Science, Apr, 2014 - Mar, 2016

Toru Seo