城市平行交通仿真系统研究

Research on traffic simulation model based on neural network algorithm

为了提高城市交通管理工作,基于平行仿真系统思想,构建了城市平行交通仿真的架构,并对城市平行交通仿真具体模块和流程进行了阐述。以数据处理模块为示例,采用RBF神经网络算法对城市某路口进行交通流数据进行修补,获得较为可信的结果。城市平行交通仿真为城市智能化发展提供新思路。

In order to improve urban traffic management,based on the thought of parallel simulation system,the architecture of urban parallel traffic simulation is constructed,and the concrete modules and processes of urban parallel traffic simulation are expounded.Taking the data processing module as an example,the RBF neural network algorithm is used to repair traffic flow data at a certain intersection in the city,and a more credible result is obtained.Urban parallel traffic simulation provides new ideas for urban intelligent development.