华东交通大学学报2017，Vol.34Issue(3)：95-102,8.
基于黄金分割遗传算法的VISSIM仿真模型参数校正
Parameter Calibration of VISSIM Simulation Model Based on Golden-Ratio Genetic Algorithm
摘要
Abstract
The accuracy of microscopic traffic simulation model has direct influence on the reality of the simula-tion scene. By using the golden-ratio genetic algorithm,this paper presented the parameter calibration of VISSIM simulation model. Firstly,the standard process of microscopic traffic simulation and the mechanism of parameter calibration of VISSIM simulation model were discussed in details. Then,based on the throughput index,the ob-jective function and discretization of GA individual parameter were designed,and the calibration algorithm of VISSIM simulation model was developed by golden-ratio genetic algorithm. Finally,taking a typical signalized intersection as the example,it analyzed the characteristics of calibrated traffic flow model and explored the ef-fectiveness of the proposed algorithm by comparing with the observed traffic data in the field. Results show that drivers in China have aggressive driving habits,and the proposed algorithm significantly improve the accuracy of simulation model,while the parameter calibration effectiveness is related to the traffic intensity at the intersec-tion.关键词
微观交通仿真/参数校正/黄金分割遗传算法/参数离散/VISSIMKey words
microscopic traffic simulation/parameter calibration/golden-ratio genetic algorithm/parameter dis-cretization/VISSIM分类
信息技术与安全科学引用本文复制引用
杨文臣,张轮,王铮,胡澄宇..基于黄金分割遗传算法的VISSIM仿真模型参数校正[J].华东交通大学学报,2017,34(3):95-102,8.基金项目
云南省交通厅科技计划(云交科2014(A)23) （云交科2014(A）
国家863计划课题(2012AA112307) （2012AA112307）
