基于IAGSO 算法的VISSIM 模型校正研究与实现

微观交通仿真能够再现城市道路交通状况，其关键步骤是建立仿真模型.为使 模型最大程度地反映实际道路运行状况，需要对所建立的模型进行校正.首先本文设计了 改进的自适应步长的人工萤火虫算法（IAGSO）和以排队长度为指标的目标函数.然后,设 计了基于IAGSO 算法的VISSIM 模型参数校正的方法.最后，设计和实现了基于B/S 结构 的交叉口仿真分析系统，应用VISSIM 对北京市某交叉口建模，利用系统对此模型进行参 数校正，比较模型校正前、校正后和现场调查的四个进口方向的排队长度.通过比较结果 验证了基于IAGSO 算法的VISSIM 模型参数校正的有效性.

VISSIM Model Calibration Based on IAGSO Algorithm

Microscopic traffic simulation can reproduce the status of urban road traffic conditions. The key step is formulating a simulation model. Then, the model should be calibrated to accurately reflect the operation status of the road traffic. First, the improved adaptive step glowworm swarm optimization (IAGSO) algorithm, and the target function with the queue length as index is designed. Then the VISSIM simulation model calibration method which is developed based on the IAGSO. Finally, the intersection simulation system based on B/S structure is realized to calibrate the established model of a Beijing intersection by VISSIM, and compare the queue length of four vehicle imported directions between pre-and post- calibrations and the on- site investigations. The results demonstrate the effectiveness of calibration of VISSIM model parameters based on the IAGSO.