信号交叉口自行车和行人混合交通流社会力模型

Social force model of pedestrian-bike mixed flow at signalized crosswalk

基于行人仿真的社会力模型,考虑自行车对行人过街的干扰,引入自行车与行人以及自行车与人行横道间的相互作用,提出了一种改进的自行车和行人混合交通流的社会力模型。通过数值模拟,分析了自行车道的设置对混合交通流事故数及到达率的影响,再现了自行车和行人混合交通流中自行车的跟随和分层现象。仿真结果表明:设置自行车道能够有效缓解行人和自行车之间的冲突,有助于减少行人和自行车的事故数并提高混合交通流的运行效率;根据自行车数量,设置合理的自行车道,能够保证自行车达到最大过街速度,从而提高自行车的过街效率;模型能够重现混合交通流的自组织等现象。

Based on basic social force model, considering the interference of bikes on pedestrian, this paper presents a modified social force model to describe the interactions between bikes and pedestrians. By simulation, the influences of the setting cyclists＂ path on the number of pedestrians and bicycle accidents and the arrival rate of bicycles were analyzed; and then, the slipstreaming, selforganization and lane-forming of bicycle and pedestrian mixed flow were reproduced, which obeys the observed data. The simulation results show that setting of cyclists＂ path can effectively alleviate the conflicts of bicycles and pedestrians, and help to reduce the number of potential traffic accidents of pedestrian and bicycle mixed flow, thus, improving the operation efficiency of the mixed traffic flow. Comparison of the simulation results and the observed data proves the effectiveness of the modified model. Besides, conclusions are drawn that with the increase of bicycle traffic, setting the cyclists＂ path on the crosswalk becomes more beneficial. Furthermore, setting wider cyclists＇ path according to the bicycle volume can guarantee bicycles to cross the crosswalk with maximum speed. The simulation model enables us to visually represent pedestrian and cyclist collective phenomenon.