基于遗传算法的PARAMICS可变限速仿真参数自动标定

Automatic Parameter Calibration for Variable Speed Limits in PARAMICS Simulation Model Using Genetic Algothrim

仿真技术被广泛应用于可变限速控制技术的研究中。为保证可变限速控制的仿真结果与真实情况相符,采用遗传算法对PARAMICS仿真模型中可变限速控制参数标定进行研究。阐述了可变限速控制路段的交通流参数采集,提出了在PARAMICS仿真模型中针对可变限速控制的参数自动标定流程,分析了基于遗传算法的可变限速控制参数标定结果。实验表明提出的参数标定方法能够有效的确定可变限速控制仿真过程中关键参数取值,参数标定后的仿真结果与真实数据更为接近,提高了仿真精度。

Simulation technique is commonly used in variable speed limit analysis. To ensure the simulation results of variable speed limits consistent with actual data, this study aims to present methodologies for parameter calibration for variable speed limits in PARAMICS simulation model. Firstly, the study site and traffic flow collection were described. Then, the automatic calibration procedure in the simulation model was introduced. The Genetic Algorithm was pro- grammed in the parameter calibration procedure and the simulation results with Genetic Algorithm were discussed. The results of the study show that the procedure developed in this study is effective for key parameter calibration for variable speed limits during the simulation, and the calibrated simulation results are much closer to the actual traffic data, which improves the simulation accuracy.