Citation

Yoshitake H, Shino M, Imanaga H, Uchida N. Trans. Soc. Automot. Eng. Jpn. 2017; 48(4): 921-926.

Copyright

(Copyright © 2017, Society of Automotive Engineers of Japan)

DOI

10.11351/jsaeronbun.48.921

PMID

unavailable

Abstract

Towards prevention of traffic accidents involving pedestrians, the objective of this study is to construct a pedestrian collision risk assessment method of right turns at intersections for driver assistance systems based on driving behavior indices related to drivers' risk anticipation. In this paper, we focused on 2 typical right-turn pedestrian collision scenes, one with no other traffic participants and the other with oncoming vehicles, and extracted risk assessment indices based on near-miss incident analysis. The extracted indices were validated through a risk scene reproducing experiment using the JARI-ARV and driving behavior features affecting collision risk were examined based on the results.

Language: ja

Keywords

Driver behavior; Human engineering; Intersection; Pedestrian Collision; Right Turn; Risk Anticipation