针对主辅路的Vissim仿真模型参数标定方法

微观交通仿真模型的参数标定是保证仿真模型有效性的基础和前提。针对车辆在主路和辅路运行特征的差异,提出了1种针对主辅路的微观交通仿真模型参数标定方法。该方法以进口道的车均延误的偏差作为评价指标,以遗传算法作为求解工具,分别实现了微观交通仿真软件Vissim中主路和辅路驾驶行为参数的标定。同时,结合工程实例将该方法应用于北京市朝阳路与高碑店北路交叉口、南苑路与久敬庄路交叉口仿真模型的参数标定中。结果显示,采用该方法标定后的主路和辅路延误与实测延误的平均偏差分别为2.1s和2.5s ;采用主路和辅路统一标定的方法,主路和辅路延误与实测延误的平均偏差分别为7.1s和7.5s。结果表明,仿真模型参数能够有效地提高参数标定的仿真试验效率与仿真精度,验证了该方法将主路和辅路仿真模型参数分开标定的有效性。 

Parameter Calibration of Vissim Simulation Models with a Focus on Main and Side Roads

Parameter calibration of microscopic traffic simulation model is the foundation and prerequisites to ensure the effectiveness of simulation models .This paper proposes a parameter calibration method of microscopic traffic simula‐tion model focusing on the different driving behaviors on the main roads and side roads .The errors of the average delays on road entrances are selected as an evaluation indicator .Genetic algorithm is used to search the optimal parameters .The parameters of driving behaviors on the main roads and side roads in Vissim are calibrated .The driving behavior parame‐ters were calibrated using the proposed method in the model of the intersection of Chaoyang road and Gaobeidian North Road as well as the intersection of Nanyuan road and Jiujingzhuang road .The results show that the errors of the average delays were 2 .1 s on main road and 2 .5 s on side road by using the proposed calibration method .While using the unified method ,the errors of the average delay were 7 .1 s on main road and 7 .5 s on side road is 7 .5 s .The study concludes that the proposed method is effective and improves the efficiency and accuracy of the simulation .