于德新, 高鹏, 杨兆升. 基于遗传神经网络的区域交通控制效果评价[J]. 北京工业大学学报, 2010, 36(4): 490-494.
    引用本文: 于德新, 高鹏, 杨兆升. 基于遗传神经网络的区域交通控制效果评价[J]. 北京工业大学学报, 2010, 36(4): 490-494.
    YU De-xin, GAO Peng, YANG Zhao-sheng. Regional Traffic Control Evaluation Based on Genetic Neural Network[J]. Journal of Beijing University of Technology, 2010, 36(4): 490-494.
    Citation: YU De-xin, GAO Peng, YANG Zhao-sheng. Regional Traffic Control Evaluation Based on Genetic Neural Network[J]. Journal of Beijing University of Technology, 2010, 36(4): 490-494.

    基于遗传神经网络的区域交通控制效果评价

    Regional Traffic Control Evaluation Based on Genetic Neural Network

    • 摘要: 为了对区域交通控制效果进行有效的评价, 通过建立区域交通控制多目标评价函数, 提出了基于遗传神经网络的区域交通控制效果评价方法.该方法由VC++编程实现, 并采用VISSIM仿真软件进行了模拟与测试, 经验证具有较好的实用性.

       

      Abstract: In order to effectively evaluate the regional traffic control effect, the paper proposes the regional traffic control effect evaluation method based on genetic neural network after the establishment of regional traffic control multi-objective evaluation function.The method is programmed with the language Visual C++ and tested with the micro traffic simulation toll VISSIM.The result shows that the method has good practicability.

       

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