港湾式公交停靠站对路段通行能力的影响

在对南昌市城区主干道港湾式公交停靠站调查的基础上,通过 Vissim 仿真模拟得到大量交通流数据,从港湾式站台设置的长度、站台乘客等待数量、路段车道数、路段车辆的平均速度、站台停止车辆数、以及进出口平均延误时间6个方面建立神经网络分析模型,以路段平均延误车辆/路段实际通行能力作为通行能力的影响折减,运用 Matlab 软件编程求得变量因素与输出影响的连接强度权值 W 与偏置值 B ,为港湾式公交站对路段通行能力影响提供了定量化影响系数。 

Impact of Harbor-shaped Bus Stops on Road Section Capacity

Based on the survey of harbor-shaped bus stops in the main roadways in Nanchang City ,this paper gen-erates a large quantity of traffic flow data from Vissim simulation .A neural network is built from the six parameters of the bus stop length ,number of waiting passengers ,number of lanes ,road vehicle average speed ,number of vehicles stopped in the stop ,and the import and export of the number average delay time ,etc .The ratio of section average vehicle delay to link capacity is used as the capacity reduction .The neural network is implemented in Matlab platform to obtain variable factors and output influence weights and bias values of connection strength of W and B ,which provides the quan-titative influence coefficient for the bus stops on the road capacity .