Matsuo, Kojiro

Japanese

Affiliation	Department of Architecture and Civil Engineering
Concurrent post	Research Center for Collaborative Area Risk Management (CARM) Research Center for Future Vehicle City
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 (2020) 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
2) Kojiro Matsuo, Naoki Chigai, Irshad Chattha Moazam, Nao Sugiki (2022) Vulnerable road user safety evaluation using probe vehicle data with collision warning information. Accident Analysis and Prevention, 165, 106528, http://doi.org/10.1016/j.aap.2021.106528

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) Kosuke Miyazaki, Kojiro Matsuo (2021) Consideration of Accident and Travel Behavior for children, JSTE Journal of Traffic Engineering, 7(2), A_167–A_174, http://doi.org/10.14954/jste.7.2_A_167
2) Kojiro Matsuo, Kosuke Miyazaki, Nao Sugiki (2022) A method for locational risk estimation of vehicle–children accidents considering children’s travel purposes. International Journal of Environmental Research on Public Health, 19(21), 14123, http://doi.org/10.3390/ijerph192114123

Keywords

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

Title of class

Descriptive Geometry (B1052002b)
Descriptive Geometry Exercise (B1052003b)
Probability and Statistics (B1013004a)
Surveying 1; Practice (B15510160)
Mathematical Training for Civil Engineering 2 (B15622020)
Transportation Planning (M25620100)
Advanced Transportation Engineering (M45630420)

Others (Awards, Committees, Board members)

In addition to the themes above, we are conducting researches on the evaluation of road network plan and traffic management plan using simulations, and research on regional public transportation management.