Citation

修士, ビン, 靖浩, 昌子, 一孝. J. Jpn. Counc. Traffic Sci. 2016; 15(3): 44-51.

Vernacular Title

自転車運転シミュレータの開発と高齢者の交通事故誘発要因の検討

Copyright

(Copyright © 2016, The Japanese Council of Traffic Science)

DOI

10.24597/jcts.15.3_44

PMID

unavailable

Abstract

Although the population of Japan is rapidly decreasing, the percentage of elderly people is increasing. In 2014, the number of elderly over the age of 65 reached the record of 330 million people or 26％ of the total population and is expected to continue to increase. On the other hand, the number of elderly people involved in bicycle traffic accidents comes in third largest, among those involved in in all conditions of traffic fatalities. In addition, elderly people make up the largest number of deaths in traffic accidents involving bicyclist of all ages. Hence, there is need for the prevention of traffic accident for elderly bicyclists. In this study, a Bicycle Simulator for evaluating the induction factor of traffic accidents was developed. A virtual traffic environment was developed using VR technology. Through simulation of road crossing, we were able to study the induction factor of traffic accident of road crossing while riding a bicycle, especially by elderly people. Using the Bicycle Simulator, we evaluated the actions of road crossing while riding a bicycle by 10 elderly and 10 youths. Elderly people have more accident in near lane, 2.4％ under the condition of 40km/h and 2.3％ under the condition of 60km/h. In addition, from the analysis of rear confirmation time of 3 seconds before road crossing, we found no significant difference between the rear confirmation time of elderly participants that met with accidents （Average 0.81 sec （s.t.d 0.06 sec）） and those not met with accidents （Average 0.66 sec （s.t.d 0.29 sec）） at near lane. However, participants that met with accidents at near lane is found to be facing to the front 1 second before road crossing. This shows the possibility of accidents caused by not carrying out ideal rear confirmation.

© 2016 The Japanese Council of Traffic Science

Language: ja