2018 Volume 4 Issue 1 Pages A_246-A_251
Implement traffic management which encourages traffic shift from a high risk route to a low risk route in the view of spatially and temporally with understanding the probability of accidents in the road network (referred to as "accident risk"). It can reduce the number of traffic accidents. However, accident risk in expressways and arterial roads can be calculated from the problem of acquiring traffic flow data by sensors, On the other hand, accident risk calculation on specific residential roads was difficult. In this research, using the ETC 2.0 data which is becoming popular in recent years, we propose a method to estimate the distance that ETC2.0 vehicles running of residential roads. Furthermore, accident risk of residential roads is analyzed based on the distance that ETC2.0 vehicles running estimated by the same method for actual road network in Matsuyama metropolitan area. As a result, the accident risk becomes high in the narrow road width road.