交通信息与安全2023，Vol.41Issue(5)：107-114,8.DOI:10.3963/j.jssn.1674-4861.2023.05.011
基于指标耦合的微观交通仿真参数标定方法
A Parameter Calibration Method of Micro Traffic Simulation Based on Index Coupling
摘要
Abstract
A method is proposed by considering multiple calibration indexes to optimize the parameter calibration of a traffic simulation model,improve the accuracy of the simulation model,and restore real road environments.Guided by simulation results,the calibration parameters for application-specific requirements are determined by sen-sitivity analysis.Considering the mutual influence of different calibration indexes,a simulation model is calibrated by simultaneously considering multiple calibration metrics which takes the variability of errors across distinct time intervals as the weights,and the objective function of the model calibration is developed based on six velocities.The model is implemented through secondary development of VISSIM software with MATLAB language.143 groups of parameters are determined by two-stage entropy weight assignment and adaptive adjustment based on im-mune genetic algorithm.The effectiveness of the proposed method is validated by comparing with several baseline methods in three ways:uniform value,recursive value,and index coupling value approaches.The simulation results indicate a 50%decrease of squared errors exceeding 0.01 for the main line speed,and a 60%reduction for large trucks across various time periods.Regarding speed,the existing errors are 5%and 1.5%for main passenger cars and large trucks,reduced by 7%and 5.2%,respectively.The errors of estimated speeds for small trucks and ramps remains at approximately 6.5%;The speeds of main passenger cars and main trucks have smaller weights,ranging from 0.15 to 0.2,which indicates smaller variabilities of errors and smaller effects on the objective function.The re-sults show that the proposed calibration method based on index coupling effectively takes into account both the in-teraction of multiple indexes and the error of individual index,which mitigates the shortcoming of single-index cali-bration methods that leads to excessive errors of other indexes.关键词
智能交通、微观交通仿真/参数标定/指标耦合/误差变异性Key words
intelligent transportation/micro traffic simulation/parameter calibration/index coupling/error vari-ability分类
交通工程引用本文复制引用
高沛,周荣贵,周建,张旭冉..基于指标耦合的微观交通仿真参数标定方法[J].交通信息与安全,2023,41(5):107-114,8.基金项目
国家重点研发计划项目(2021YFC3001502)、新疆维吾尔自治区重大科技专项(2020A03003-4)资助 （2021YFC3001502）
