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为了研究最大速度多样性、侧向摆动性及车流异质性等自行车交通特性对机非混合交通流的影响,以Na Sch模型为基础,采用了元胞自动机进行了建模与仿真。结果表明:自行车最大速度多样性对自行车越线行驶数量及机动车流量基本无影响,而其他自行车交通特性对机动车交通流影响显著;自行车与机动车皆处于中低密度条件下,侧向摆动行为的发生会加重自行车间的相互干扰,进而增加自行车越线行为并降低机动车流量;而与同质自行车流相比较,传统自行车与电动自行车的混合将产生更多的越线车辆以及更低的机动车流量。因此在进行机非混合交通流建模过程中,结合侧向摆动及车流异质性等自行车交通特性能够更加真实地反映机动车和非机动车之间的相互干扰。
In order to study the impact of bicycle traffic characteristics, such as maximum speed diversity, lateral swing and traffic flow heterogeneity, on the non-mixed traffic flow, the cellular automata were modeled and simulated based on Na Sch model. The results show that: the maximum speed diversity of bicycle has little effect on the number of bicycle overcrowded and the flow of motor vehicle, while other bicycle traffic characteristics have a significant impact on the traffic flow of motor vehicles; both the bicycle and the motor vehicle are under low and medium density conditions, The occurrence of behaviors aggravates the mutual interference of the bicycles, thereby increasing bicycle cross-line behaviors and reducing motor vehicle flow, while a mixture of conventional bicycles and electric bicycles will generate more cross-line vehicles and lower Motor vehicle traffic. Therefore, during the process of modeling MOM mixed traffic, the characteristics of bicycle traffic such as lateral swing and traffic heterogeneity can more truly reflect the mutual interference between motor vehicles and non-motor vehicles.