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基于遗传算法的VISSIM人车参数标定方法 被引量:6

Calibration of pedestrian and vehicle parameters in VISSIM based on genetic algorithm
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摘要 微观交通仿真模型在交通系统管理、控制和优化中得到广泛应用,参数标定是应用交通仿真软件前的必要环节,人车交织情况下的微观交通仿真模型标定更具有挑战性。以微观交通仿真软件VISSIM为例,研究人车交织情况下的微观交通仿真模型标定问题,应用遗传算法设计实现了参数标定的方法流程。通过结合实际数据,对北京首都机场T3航站楼出发层车道边人机模型进行标定,有效提高了试验的效率和仿真精度,验证了方法的可操作性。 Microscopic simulation models have been widely used in traffic system management, control and optimization. Parameter calibration is necessary before the application of traffic simulation software. Calibration of microscopic traffic simulation models under pedestrian and vehicle interweaving case is even more challenging. Taking the microscopic simulation software VISSIM as an example, the calibration problem is studied when pedestrian and vehicle are interwoven in microscopic traffic simulation models, and a procedure for parameters calibration is proposed by applying genetic algorithm. Using actual data, parameters of vehicles and pedestrians at airport curbside of the T3 terminal at Beijing Capital International Airport are calibrated. The efficiency and accuracy of the simulation test is effectively improved, which verifies that the proposed method is useful.
出处 《中国民航大学学报》 CAS 2014年第1期33-36,共4页 Journal of Civil Aviation University of China
基金 国家重点基础研究发展计划(973计划)(2012CB725403) 中央高校基本科研业务费专项(2012JBM054) 新世纪优秀人才支持计划资助(NCET-12-0763)
关键词 行人 交通仿真模型 VISSIM 参数标定 pedestrian traffic simulation model VISSIM parameter calibration
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