Abstract: Pedestrian and bicycle mixed traffic is a common non-motorized vehicle flow, but the current research on its mixed dynamics is still limited. Based on the social force model, this paper proposes a pedestrian-bicycle mixed floworiented mixed flow social force model (MFSF) to analyze the movement mechanism of the pedestrian-bicycle mixed flow. The observation data of the mixed flow of pedestrians and bicycles on the road is calibrated to the model, and a simulation platform is constructed. The simulation platform is used to reproduce the self-organization phenomenon of pedestrians and bicyclists on one-way roads. From the comparison and verification of the simulation results and the measured data, the model can accurately describe the motion characteristics of the mixed flow. The simulation results show that the MFSF model can reproduce the self- organization phenomenon of the mixed flow of pedestrians and bicycles. When the ratio of pedestrians to bicyclists is the same, the lower the density of pedestrians and bicyclists, the smaller the change in lane width for bicyclists. When the ratio of pedestrians to bicycles changes, the greater the ratio of bicyclists, the wider the road occupied by bicyclists, and the more unstable the lane width of bicyclists. If the pedestrian input is significantly reduced, the lane width for bicyclists is significantly increased.

Key words: urban traffic, self-organization phenomenon, social force model, bicycle flow, pedestrian flow

摘要： 行人和自行车混合行驶是一种常见的非机动车交通组织方式，然而目前对于其混合流动力学的研究十分有限。本文基于社会力模型，提出一种面向行人-自行车混合流的混合流社会力模型(MFSF)解析行人-自行车混合流的运动机理，修正了以往研究中的自行车模型，通过实际道路上行人和自行车混合流的观测数据校准模型，构建仿真平台，最后使用仿真平台重现单向道路中行人和骑行者的自组织现象。根据仿真结果与实测数据流量-密度基本图的对比分析，验证了 MFSF模型的真实性和有效性，并可以看出，MFSF模型可以再现行人和自行车混合流的自组织现象。当行人与骑车者的比例相同时，行人和骑车者的密度越低，骑车者的车道宽度变化就越小；当行人与自行车比例变化时，骑行者的比例越大，骑行者占用的道路越宽，且骑行者的车道宽度越不稳定；如果行人输入显著减少，则自行车者车道宽度显著增加。

关键词: 城市交通, 自组织现象, 社会力模型, 自行车流, 行人流