涉及骑车人的典型交通危险场景

Typical Traffic Risk Scenarios Related to Pedal Cyclists

摘要:

对上海地区真实交通中的自然行驶工况进行视频采集、筛选和分类，得到152例涉及骑车人（自行车、摩托车、电动助力车）的危险工况.通过聚类分析和卡方检验得到了7类典型的危险场景.最后用PreScan软件对这7类危险场景进行虚拟建模，得到了涉及骑车人的典型危险工况场景库.

Abstract:

Naturalistic driving data under real traffic conditions in Shanghai were firstly collected by video drive recorders and these data were screened and classified and then 152 risk cases involving pedal cyclists, including bicyclists, motorcyclists and moped cyclists, were obtained. A cluster analysis was made of the risk cases and the results were tested by Chi square test method and seven typical categories of risk scenarios involving pedal cyclists were obtained. These seven categories of risk scenarios were then modeled by PreScan and the risk scenario database involving pedal cyclists was finally established.