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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。
Based on the macro traffic simulation model, a simulation result of VMS induction time effectiveness is proposed, and the influence of driver information attention rate and information understanding bias coefficient on the induction effect of VMS travel time is analyzed. Based on the calculation model of travel time and driver information response model and METANET simulation model, the simulation results of road network total time consumption improvement efficiency are taken as the objective of induced efficiency. Simulation experiments are carried out on three kinds of road networks with different scales. The simulation results show that the VMS travel time usually has a positive inductive benefit for improving the operation efficiency of the road network. The higher the information attention rate is, the smaller the information comprehension deviation coefficient is and the more obvious the inductive benefit is. When the information attention rate is more than 80% The induced benefits of medium and large scale 3 kinds of road networks reached 28.89%, 15.87% and 10.53% respectively. Can be seen that the simulation algorithm is valid.