The mixed flow of pedestrians and cyclists is frequently observed on the roads they share, but investigations of the dynamics of this kind of mixed flow have been very limited. This study proposes a heuristic-based model to reproduce the mixed-flow dynamics of pedestrians and cyclists, and the model is calibrated with an experiment on the mixed traffic flow of pedestrians and cyclists. Pedestrians/cyclists were asked to walk/ride on a ring-shaped track. In the uni/bidirectional flow scenario, pedestrians and cyclists moved in the same/opposite direction. A genetic algorithm was used for parameter calibration. The model could reproduce the experimental results well. Under both scenarios, pedestrians and cyclists formed their own lanes. The pedestrians walked in the inner lane, and cyclists rode in the outer lane in a self-organized process. The widths of the pedestrian lane and the cyclist lane were found to be more uniform during bidirectional flow. The pedestrian flow rate was higher in the unidirectional flow scenario than in the bidirectional flow scenario. In contrast, at low cyclist densities, the cyclist flow rate was essentially the same in both scenarios. When the density was high, the cyclist flow rate is higher in the unidirectional flow scenario. Sensitivity analyses showed that cyclist speed had little effect on the pedestrian flow rate. A higher cyclist speed led to a higher cyclist flow rate at low densities, but the cyclist flow rates approached the same value at high cyclist densities. As the proportion of pedestrians/cyclists increased, the flow rate of cyclists/pedestrians decreased. The simulation results on a straight track were largely consistent with those on a ring-shaped track.

在共享的道路上经常观察到行人和骑自行车者的混合流动，但是对这种混合流动的动力学的研究非常有限。这项研究提出了一种基于启发式的模型来重现行人和骑自行车者的混合流动力学，并通过对行人和骑自行车者的混合交通流进行的实验对该模型进行了校准。行人/骑自行车的人被要求在环形轨道上行走/骑行。在单向/双向流动方案中，行人和骑自行车的人朝着相同/相反的方向移动。遗传算法用于参数校准。该模型可以很好地再现实验结果。在两种情况下，行人和骑自行车的人都形成了自己的车道。行人在内部车道中行走，而骑车人以自发组织的方式在外部车道中骑行。在双向流动过程中，行人专用道和自行车道的宽度更加均匀。单向流动方案中的行人流量高于双向流动方案。相反，在低骑单车密度的情况下，两种情况下的骑单车流速基本相同。当密度高时，在单向流动情况下骑自行车的人的流速会更高。敏感性分析表明，骑车人的速度对行人流量影响不大。在低密度下，较高的骑车人速度会导致较高的骑车人流量，但在高密度的情况下，骑车人流量会达到相同的值。随着行人/骑自行车者比例的增加，骑自行车者/行人的流量减少。