Citation

Shino M, Yoshitake H, Shimazu Y, Uchida N, Kamata M. Trans. Soc. Automot. Eng. Jpn. 2017; 48(4): 915-920.

Copyright

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

DOI

10.11351/jsaeronbun.48.915

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 turn at intersections for driver assistance systems based on driving behavior indices related to drivers' risk anticipation. In this paper, we first clarified traffic environment elements affecting right turn driving behavior and classified typical patterns of pedestrian collision scenes. Next, we focused on car-following right turn scenes as a case study and examined driving behavior indices regarding drivers' risk anticipation and validated the indices through a risk scene reproducing experiment using the JARI-ARV.

Language: ja

Keywords

collision prediction; driver behavior; human engineering; Pedestrian Collision; Right Turn; Risk Anticipation