The invention discloses a genetic algorithm calibration method based on VISSIM and C. On the basis of VISSIM simulation software, Visual C # is used for secondary development and parameter calibration, according to the method, a VISSIMCOM interface object is established in Visual C #, a road network is opened and simulation parameters are obtained through an established road network directory, a genetic algorithm is written by using Visual C #, and the VISSIM simulation software is subjected to VISSIM simulation. Parameters such as speed are selected as traffic simulation evaluation indexes, algorithm optimal selection is carried out through VISSIM COM interface interaction parameter values, and finally an optimal solution is obtained. According to the method, the artificial intelligence algorithm, the VISSIM and the programming software can be used for secondary development, the method has important significance for simulation optimization in the future, and the method has certain value for combined development and deep research of intelligent transportation and intelligent algorithms.

    本发明公开了一种基于VISSIM和C#的遗传算法标定方法,在VISSIM仿真软件基础中,使用VisualC#进行二次开发,并且进行参数标定,该方法利用在Visual C#中建立VISSIMCOM接口对象,通过建立的路网目录打开路网并获取仿真参数,利用Visual C#编写遗传算法,选择速度等参数作为交通仿真评价指标,通过VISSIM COM接口交互参数值,进行算法最优选择,最后得到最优解。本发明能将使用人工智能算法与VISSIM和编程软件进行二次开发,对于未来进行仿真仿真优化具有重要的意义,对智能交通和智能算法的结合发展和深入研究有一定的价值。


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    Title :

    Genetic algorithm calibration method based on VISSIM and C #


    Additional title:

    一种基于VISSIM和C#的遗传算法标定方法


    Contributors:
    WANG JING (author) / REN JIABO (author)

    Publication date :

    2023-05-26


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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