摘要
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。
To research the influence of the bicycle characteristics such as maximum velocity variation, lateral drift and heterogeneity on mixed traffic flow, based on NaSch model, the modeling and simulation are conducted with cellular automaton. The result reveals that （ 1 ） bicycle maximum velocity variation has no obvious effect on motorized traffic flow and spilled bicycle number, while other bicycle features have significant impacts on motorized traffic flow; （2） when the vehicle and bicycle densities are intermediate or low, lateral drifting behavior will improve the interactions among bicycles, elevate spilled bicycle number and reduce motorized vehicle flux; （3） compared to pure bicycle flow, mixed bicycle flow will associate with higher spilled bicycle number and lower motorized vehicle flux. Thus, considering the bicycle traffic characteristics including lateral drifting effect and heterogeneity in mixed traffic simulation can better reflect the interactions among bicycles and motorized vehicles.
出处
《公路交通科技》
CAS
CSCD
北大核心
2016年第3期132-137,共6页
Journal of Highway and Transportation Research and Development
基金
国家自然科学基金项目(71301007)
关键词
交通工程
交通流特性
元胞自动机
混合交通流
侧向摆动
最大速度多样性
traffic engineering
traffic flow characteristics
cellular automaton
mixed traffic flow
lateral drift
maximum velocity variation
