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Kojiro Matsuo

Affiliation Department of Architecture and Civil Engineering
Title Assistant 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
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Laboratory website URL
Researcher information URL(researchmap) Researcher information


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 Traffic Big Data

Extraction of rat-run traffic from car probe data

The effective and efficient realization of traffic safety management that lies at the center of improving the road traffic environment demands a scientific understanding of the risks posed by traffic accidents.
Our laboratory is aiming to construct a traffic safety management method that uses not only traffic accident statistical data, but also traffic big data such as drive recorder data, vehicle probe data, and three dimensional road space data. Our approach is focused on Aichi Prefecture and Toyohashi City, and includes the construction of an accident risk statistical model, the evaluation of accident risks by location and type of accident and an analysis of their causes, the observational survey, analysis and construction of a simulation model for detailed traffic flows at specific accident risk points, and the proposal and evaluation of traffic safety measures based on all of this information.


Traffic-related big data / Traffic safety management

Theme2:Local Public Transport Network Planning Considering Taxi Mode

Distribution of departure and arrival points of taxi trips in Toyohashi (Left: Departure, Right: Arrival)

It is important to consider ideas that make use of taxi mode in local public transport network. Taxi mode is an individual and door to door transport system and has the advantage of being able to meet the diverse needs which mass transit systems such as railways and buses could not meet. Our laboratory analyses the actual situation and of taxi trips and the mechanisms of the use taxi mode based on digital daily log data and evaluates several policies that make use of taxi mode as a local public transport network through simulations and so on.


Taxi / Local public transport

Theme3:Traffic Calming in Community Street Spaces Using Telematics Technology

Changes in speed distribution due to advisory ISA and telematics incentive program for not speeding (Red: Before test, Green: During text, Blue: After test)

The creation of safe and reliable community street spaces presents a vital requirement for traffic calming, including a reduction of the influx volume of vehicles and vehicle speeds. Intelligent Speed Adaptation (ISA), primarily being researched in Europe in recent years, has the potential to be a drastic tool for traffic calming. ISA is an intelligent transport system (ITS) that uses sources such as GPS and digital maps to provide limit speed information regarding the current road segment being driven through, and restrictions to prevent that limit from being exceeded.
Our laboratory is performing a survey and analysis into the effects, costs, side effects and introduction process for bringing ISA into the Japanese transport system. We are also conducting research into incentive measures (tax reduction for safe cars etc.) to reward vehicles that are designed with safety on community streets in mind.


ISA / Telematics Insurance / Community strees / Traffic Calming / Incentive measures

Title of class

Descriptive Geometry (B1052002b)
Descriptive Geometry Exercise (B1052003b)
Surveying 1; Practice (B15510160)
Mathematical Training for Civil Engineering 2 (B15622020)

Others (Awards, Committees, Board members)

In addition to the above, we are also involved with research relating to traffic safety plans on roads leading to elementary and junior high schools, research relating to traffic jams on freeways, and researching regional characteristics of travel behavior.

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