微观交通仿真模型参数多目标优化标定研究  

Research on Multi-objective Optimization Calibration of Microscopic Traffic Simulation Model Parameters

作　　者：陈开群 王静[2,3] 高亚聪 CHEN Kaiqun;WANG Jing;GAO Yacong(Guangxi Xinfazhan Communications Group Co.Ltd.,Nanning 530029,China;Beijing University of Technology,Beijing 100124,China;Beijing Traffic Engineering Association,Beijing 100160,China)

机构地区：[1]广西新发展交通集团有限公司,南宁530029 [2]北京工业大学,北京100124 [3]北京交通工程学会,北京100160

出　　处：《交通工程》2023年第1期31-37,共7页Journal of Transportation Engineering

基　　金：广西壮族自治区交通运输厅科技示范工程(广西高速公路交通拥堵防治智能决策系统工程)。

摘　　要：微观交通仿真模型参数标定是仿真技术应用的前提.鉴于微观交通仿真模型参数标定过程仅考虑单一校核目标无法再现实际交通流运行状况,本文以延误、行程时间、排队长度等指标为基础,应用熵权法确定各指标权重,并建立多目标优化标定校核函数,同时将仿真模型参数分为全局参数和局部参数,其中全局参数应用工程实测确定,局部参数通过遗传算法迭代寻优进行标定,并运用聚类递归方法对参数标定结果进行精细化取值,最后以实测数据为基础,对比分析了本文提出的优化方法和单一指标标定模型参数的结果.结果显示:与单一校核指标方法相比,本文提出方法的仿真结果更接近实测值,更符合实际交通流特性,因此验证了本文提出改进方法的有效性.The parameter calibration of microscopic traffic simulation model is the premise of the application of simulation technology.In view of the fact that the microscopic traffic simulation model parameter calibration process only considers a single calibration target and cannot reproduce the actual traffic flow operation status,this paper uses the entropy weight method to determine the weight of each index based on indicators such as delay,travel time,and queue length,and establishes a multi-objective optimization method.This method can estimate the calibration function,and at the same time categorize the simulation model parameters into global parameters and local parameters.The global parameters are determined by actual engineering measurement,and the local parameters are calibrated through iterative optimization of the genetic algorithm,and the parameter calibration results are refined using the clustering recursive method.Finally,based on the measured data,the optimization method proposed in this paper and the results of the single index calibration model parameters were compared and analyzed.The results show that compared with the single calibration index method,the simulation results of the method proposed in this paper are closer to the measured values and more in line with the actual traffic flow characteristics,thus verifying the effectiveness of the improved method proposed in this paper.

关 键 词：交通工程 模型标定 多目标优化 仿真实验 微观交通仿真 

分 类 号：U491[交通运输工程—交通运输规划与管理]