A Study on the Influencing Factors of Conflicts between Motor and Non-motor Vehicles in the Turning Lanes of Signalized Intersection

Abstract

In order to reveal the influencing factors of the conflicts between the right-turning motor vehicles and the straight non-motor vehicles at the signalized intersection, the unmanned aerial vehicle (UAV) was used to collect the field data. And various methods such as manual statistics, video detection, deep learning were employed to analyze the data to obtain the traffic volume and the trajectory of pedestrians and vehicles. Pearson correlation analysis, 2-tailed significance test and other methods were used to examine the influences of traffic volume, speed, traffic control factors on traffic conflicts. The results show that (1) the correlation coefficient between the traffic volume of non-motor vehicles and the conflict frequency is 0.842 (close to 1), which indicates that the traffic flow of non-motor vehicle has a significant impact on the conflict frequency; (2) the speeds of right-turning vehicles at intersections have no significant impact on the conflict frequency (P = 0.071 > 0.05); (3) the setting of traffic markings is a key factor (P = 0.000 > 0.05), which can be seen in the traffic volume at intersections (not controlled by signals), and the improvement of traffic control elements can effectively reduce the frequency of conflict between motor and non-motor vehicles (MNV).