摘要
通过对公交停靠过程的分析,选择一直线型路段公交停靠站进行交通调查,运用VISSIM(PTVVISSIM)仿真软件,并用SPSS(statistical product and service solutions)正交实验对仿真参数进行标定,构建直线型和港湾式公交站模型,在车流量和公交发车频率不同的情况下,仿真输出路段车辆延误时间.基于实测数据,采用BP(back propagation)神经网络在不同车流量和不同公交车发车频率下路段车辆延误预测的MATLAB实现,与VISSIM仿真的结果进行对比,验证分析公交停靠站设置的合理性为公交站建设选型提供借鉴.
Through the analysis of the stopping process of buses,by choosing linear lane as the target of traffic survey,taking advantage of the VISSIM simulation software,as well as using the SPSS orthogonal experiment on calibrating the simulation parameters,the paper aims to build up models of beeline and harbor-shaped bus stop, and to output the delay time of sections under various traffic circumstances and bus frequency rates. Based on the measured data,the predicted MATLAB delay outcome implemented by the BP neural network under various traffic flow and different bus departure frequency will be compared with the VISSIM simulation results to verify its correctness. The analysis results can also be a useful reference to determine the rationality of the plan of the bus stops and the types as well.
出处
《闽江学院学报》
2016年第5期131-138,共8页
Journal of Minjiang University
基金
福建省中青年教师教育科研项目(JA14251)