Estimation of the vehicle-pedestrian encounter/conflict risk on the road based on TASI 110-car naturalistic driving data collection

Author

Renran Tian ; Lingxi Li ; Kai Yang ; Chien, Stanley ; Yaobin Chen ; Sherony, Rini

Author_Institution

Dept. of Electr. & Comput. Eng., Indiana Univ.-Purdue Univ. Indianapolis (IUPUI), Indianapolis, IN, USA

fYear

2014

fDate

8-11 June 2014

Firstpage

623

Lastpage

629

Abstract

Modeling vehicle-pedestrian interactions in the road environment is essential to develop pedestrian detection and pedestrian crash avoidance systems. In this paper, one novel approach is proposed to estimate the vehicle-pedestrian encountering risk in the road environment based on a large scale naturalistic driving data collection. Considering the difficulty to record actual pedestrian crashes in the naturalistic data collection, the encountering risk is estimated by the chances for driver to meet with pedestrian in the roadway as well as the chances for the driver and pedestrian to get into a potential conflict. Effects of different scenarios consisting of road conditions, pedestrian behaviors, and pedestrian numbers on the risk levels are also evaluated, and significant results are provided.

Keywords

automobiles; data handling; pedestrians; TASI 110-car naturalistic driving data collection; large scale naturalistic driving data collection; naturalistic data collection; pedestrian crashes; road environment; vehicle-pedestrian conflict risk; vehicle-pedestrian encounter risk; vehicle-pedestrian interactions; Data collection; Junctions; Roads; Traffic control; Vehicle crash testing; Vehicles; Videos; Naturalistic Driving Data Collection; Pedestrian Behavior; Pedestrian Crash Avoidance; Vehicle-Pedestrian Conflict;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium Proceedings, 2014 IEEE

Conference_Location

Dearborn, MI

Type

conf

DOI

10.1109/IVS.2014.6856599

Filename

6856599