2013 Fiscal Year Final Research Report

Constructing the mathematical model of a broadside collision for driving risk evaluation, and developing a driving support system for safe driving based on it

Research Project

Project/Area Number	24710192
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Multi-year Fund
Research Field	Social systems engineering/Safety system
Research Institution	Fukuoka Institute of Technology
Principal Investigator	MATSUKI Yuji 福岡工業大学, 工学部, 准教授 (00315128)
Project Period (FY)	2012-04-01 – 2014-03-31
Keywords	安全 / 衝突予測 / 交差点モデル / モンテカルロシミュレーション / 反応時間分布 / 衝突確率
Research Abstract	Drivers have no method to evaluate the objective risk when passing the blind intersection. Thus, they drive a vehicle with using their subjective risk evaluation based on their driving experiences. In order to decrease such a collision, the method is needed for drivers to recognize the precise risk of broadside collision. In this study, a mathematical broadside collision model between two vehicles was developed using a simple two driver models on each road in order to evaluate the objective driving risk. This collision model can predict the possibility of broadside collision (POC) and pre-crash kinetic energy (PKE) as the index of collision damage between the vehicles. The experiments to calculate POC and PKE with the broadside collision model by using Monte Carlo simulation were conducted under various traffic conditions. As a result, it was found that vehicle speed, distance between the edge of the road and the car, traffic density, and shape of the intersection affect POC and PKE.

(2 results)