Matsuo, Kojiro

Japanese

Affiliation	Department of Architecture and Civil Engineering
Title	Associate Professor
Fields of Research	Traffic Engineering / Infrastructure Planning
Degree	Dr. of Engineering (Toyohashi University of Technology)
Academic Societies	Japan Society of Civil Engineers / Japan Society of Traffic Engineers / The City Planning Institute of Japan / The Japanese Association of Traffic Psychology / Eastern Asia Society for Transportation Studies
E-mail	k-matsuo@ace Please append ".tut.ac.jp" to the end of the address above.
Laboratory website URL	http://www.tr.ace.tut.ac.jp/
Researcher information URL（researchmap）	Researcher information

Research

I work on researches to pursue the way of safety, convenience, and comfort transportation systems harmonized with the local communities, through scientifically grasping transportation phenomena and transportation behaviors.

Theme1：Traffic Safety Management Methods that Make Use of Various Data

Overview

Extraction of potential black spots through data integration

To scientifically understand the risk of traffic accidents is essenntial for implemention of an effective and efficient traffic safety management.
This study aims to construct a road traffic safety management method that combines traffic big data such as vehicle probe data, drive recorder data, collision warning data, 3D road space data, and citizen near-miss incidents, in addition to traffic accident statistics. Specifically, in Toyohashi, Nagoya and other cities in Aichi Prefecture, and Penang, Malaysia, we are conducting a detailed understanding of road traffic situation; developing a statistical model of accident risk; evaluating the risk of traffic accidents by location and accident type and analyzing the factors of those accidents; developing detailed traffic flow models at specific accident risk locations; and planning and evaluating traffic safety measures based on those models.

Selected publications and works

1) Kojiro Matsuo, Mitsuru Sugihara, Motohiro Yamazaki, Yasuhiro Mimura, Jia Yang, Komei Kanno, Nao Sugiki: Hierarchical Bayesian modeling to evaluate the impacts of intelligent speed adaptation considering individuals’ usual speeding tendencies: a correlated random parameters approach, Analytic Methods in Accident Research, 27, 100125, 2020 (https://doi.org/10.1016/j.amar.2020.100125).
2) Kojiro Matsuo, Naoki Chigai, Irshad Chattha Moazam, Nao Sugiki: Vulnerable road user safety evaluation using probe vehicle data with collision warning information, Accident Analysis and Prevention, 165, 106528, 2022. (http://doi.org/10.1016/j.aap.2021.106528)
3) Ryo Inagaki, Kojiro Matsuo, Nao Sugiki: Accuracy of locational crash risk evaluation using probe data: a stochastic approach, Japanese Journal of JSCE (Infrastructure Planning and Management), 79 (20), 23–20038, 2023. (https://doi.org/10.2208/jscejj.23-20038)

Keywords

Traffic-related big data / Traffic safety management

Theme2：The nature and planning of children's mobility

Overview

Spatial relationships between elementary students accident locations and school routes

In recent years, the way Japanese children move has been attracting an attention around the world. In Japan, most elementary schools allow children to walk to and from school on their own, and even outside of school, children are encouraged to move independently from a young age. It has been suggested that this may also contribute to the promotion of health. On the other hand, in other countries, car-dependence may lead to the problem of child obesity, and parental transportation causes traffic congestion during peak hours, as the children are mainly transported to and from school by parents and school buses.
In this study, we investigate children's mobility in Japan, Malaysia, Indonesia, Australia and other countries, and examine how to improve children's mobility through comparative analysis focusing on Children Independent Mobility (CIM), traffic safety and crime prevention.

Selected publications and works

1) Kojiro Matsuo, Kosuke Miyazaki, Nao Sugiki: A fundamental study on factors affecting children's independent mobility: focusing on different travel modes, Japanese Journal of JSCE (Infrastructure Planning and Management), 79 (20), 23–20053, 2023. (https://doi.org/10.2208/jscejj.23-20053)
2) Kojiro Matsuo, Noudsaka Yimmavong, Mital Chakma, Kosuke Miyazaki, Nao Sugiki: Impact of traffic park use experience on children's perception of traffic rules: a case study for Toyohashi city traffic park, JSTE Journal of Traffic Engineering, 9 (2), A_317-A_325, 2023. (https://doi.org/10.14954/jste.9.2_A_317)
3) Kojiro Matsuo, Kosuke Kosuke Miyazaki, Nao Sugiki: https://doi.org/10.14954/jste.10.1_A_72, JSTE Journal of Traffic Engineering, 10 (1), A_72-A_79, 2024.

Keywords

Children independent mobility (CIM) / Road traffic safety / Crime prevention

Theme3：Research on local public transportation management for human-centered cities

Overview

Traffic simulation of Toyohashi Ekimae Odori with tramlines

In regional cities, creating vibrant and thriving communities requires a shift toward human-centered urban design—one that relies less on private cars and more on effective public transit management.
Using various surveys and traffic simulations, this research explores how to achieve and implement human-centered urban planning by leveraging local public transportation, such as regional railways, streetcars (trams), local buses, community buses, and taxis.

Keywords

Local public transportation / Placemaking

Title of class

Descriptive Geometry
Descriptive Geometry Exercise
Probability and Statistics
Surveying 1
Surveying 1; Practice
Transportation System Engineering
Transportation Planning
Advanced Transportation Engineering
Advanced Transportation System and Transport Economics