Behavior and Psychological Analysis of Electric Bike Rider Turning Left to Cross the Street at Signal Intersections

Abstract

As a more convenient and environmentally friendly green way of travel, electric bicycle has shown a rapid development trend in many cities in China in recent years [1-3], the impact on urban traffic is also increasing, especially in the signal intersection with traffic flow, electric vehicles is an important factor affecting the capacity of signal intersection, and the illegal behavior of electric vehicles is widespread, which has become one of the main causes of traffic accidents. This paper uses the combination of video survey method and questionnaire survey method to analyze the behavior and psychology of the motorcyclists with the left turn of the signal intersection. First, the field video survey is used to collect the behavior data of the riders, and then the questionnaire survey is used to analyze the psychological activities of the riders, and to compare the actual behavior results with the psychological analysis results, so as to establish the connection between behavior and psychology. To optimize the traffic and improve traffic safety and strengthen the standard management.