VMS行程时间诱导效益仿真算法

基于宏观交通仿真模型,提出了可变情报板(VMS)行程时间诱导效益仿真算法,分析了驾驶人的信息关注率和信息理解偏差系数对VMS行程时间诱导效益的影响。以行程时间计算模型和驾驶人信息响应模型与METANET仿真模型为理论基础,以路网总耗时改善率为诱导效益目标,在3种不同规模的路网上进行仿真试验。仿真结果表明:VMS行程时间对于改善路网运行效率通常具有正面的诱导效益;信息关注率越高,信息理解偏差系数越小,诱导效益越显著;当信息关注率为80%以上时,小型、中型、大型3种路网的诱导效益分别达到28.89%、15.87%、10.53%以上。可见,仿真算法有效。

Inductive benefit simulation algorithm of VMS travel time

Based on macroscopic traffic simulation model,the inductive benefit simulation method of variable message sign(VMS) travel time was proposed,and the influences of information concern ratio and information comprehension deviation coefficients for drivers on the inductive benefit of VMS travel time were analyzed.The travel time calculation model,driver information response model and METANET simulation model were taken as theory foundations,the improving ratio of total road network consuming time was taken as inductive benefit objective,and simulation tests on three road networks with different sizes were carried out.Simulation result shows that VMS travel time normally has positive inductive benefit on improving the running efficiency of road network.The higher the information concern ratio is,the smaller the information comprehension deviation coefficient is,and the more significant the inductive benefit is.While information concern ratio is over 80%,the inductive benefits of small,medium and large road networks are above 28.89%,15.87% and 10.53% respectively.So the simulation algorithm is effective.