Abstract
The existing studies on testing scenarios for Autonomous Emergency Braking Systems (AEB) mainly involve vehicles and pedestrians. However, a large proportion of traffic accidents in China are caused by pedal cyclists (including cyclists, moped cyclists and motorcyclists). Aiming to develop test scenarios for AEB which are compatible with the special traffic conditions in China, typical traffic risk scenarios involving pedal cyclists were studied in this paper. Naturalistic driving data were firstly collected by video drive recorders and these data were screened and classified and then 152 risk cases involving pedal cyclists were obtained. These risk cases were then analysed using cluster analysis method and these cases were divided into 10 categories. The significance of characteristics belong to these 10 categories of risk cases were tested using Chi-square test method and seven categories with significant characteristics were chosen to establish the risk scenarios for the testing of AEB. In addition, PreScan was adopted to build virtual models of these risk scenarios.
KEYWORDS – pedal cyclist, risk scenario, testing, Autonomous Emergency Braking System, PreScan