目的 探究在城市交通路口影响右转车辆与过街行人交互过程的因素。方法 采用实地视频拍摄的方法，分析统计右转车辆与过街行人在交互过程中的行为方式。分别检验性别、年龄、同行人数及红绿灯状态4个指标是否对二者交互过程有显著性影响。结果 性别对右转车辆与过街行人的交互过程无显著影响;年龄、同行人数及红绿灯状态对右转车辆与过街行人的交互过程有显著影响。结论 由于老年人生理退化导致步行速度降低，可以通过设置文字或图片标识来提示右转车辆停车礼让，以缓解老年群体等待时间过久的问题;或根据路口交通流量及行人不同同行人数，动态规划过街行人与右转车辆通行顺序。此外，可以根据行人流量动态规划右转车辆方的交通灯状态及时间。本研究结果对改善交通路口交通运行状况、使右转车辆与过街行人在交通路口有序通行有重要的理论意义和实用价值，同时可为无人驾驶右转车辆与行人交互提供重要参考。

The work aims to explore the factors affecting the interaction process between right-turning vehicles and pedestrians crossing the street at urban traffic intersections. Field video shooting was adopted to analyze and count the behaviors of right-turning vehicles and pedestrians crossing the street in the interaction process, to test whether gender, age, number of peers and traffic light status had a significant impact on their interaction process. The results showed that gender had no significant effect on the interaction between right-turning vehicles and pedestrians crossing the street; age, number of peers and traffic light status had a significant impact on the interaction between right-turning vehicles and pedestrians crossing the street. As walking speed decreases due to physiological degeneration in the elderly, text or picture signs can be set up to prompt right-turning vehicles to stop for comity, so as to alleviate the problem of elderly people waiting too long; or the sequence of pedestrians crossing the street and right-turning vehicles can be dynamically planned according to the intersection traffic flow and different number of pedestrians. In addition, traffic light status and time for right-turning of vehicles can be dynamically planned according to pedestrian flow. The results of this study have important theoretical significance and practical value for improving the traffic operation at traffic intersections and the orderly passage of right-turning vehicles and pedestrians crossing the street at traffic intersections. At the same time, it can provide an important reference for the interaction between driverless right-turning vehicles and pedestrians crossing the street.