本课题以交通枢纽为研究对象，利用AnyLogic平台对动态交通流系统进行仿真优化。该仿真模型以最大化改善道路拥堵为目的，设计以车流量最大为目标的优化模型，通过对道路渠化重新设计，并运用遗传算法优化交叉路口红绿灯时长，以平均时间和车辆总数为指标来评价优化方案。仿真表明：优化后，环岛交叉口交通通行量提高了58%。道路渠化设计和红绿灯的控制优化可以有效提高交通通行量，为整治和改善交通环境提供理论依据。
This paper takes the traffic hub as the research object and uses the AnyLogic platform to simulate and optimize the dynamic traffic flow system. In order to maximize the improvement of road congestion, the simulation model designed an optimization model with the maximum traffic flow as the goal. Through the redesign of road channelization, the genetic algorithm was used to optimize the traffic light duration at intersections. The optimization scheme was evaluated by the average time and the total number of vehicles as indexes. Simulation results show that after optimization, the traffic at the roundabout intersection increases by 58%. The road channelization design and traffic light control optimization can effectively increase the traffic volume and provide a theoretical basis for remediation and improvement of traffic environment.
