平面交叉口交通流动态特征的神经网络模型

AN NEURAL NETWORK MODEL FOR DYNAMIC CHARACTERISTICS OF ROAD INTERSECTION

  • 摘要: 平面交叉口的交通控制是交通控制系统理论、方法与实践的重要组成部分,描述平面交叉口实时动态交通需求的模型是实时自适应信号控制的基础依据,本文首先对现有交叉口车流动态特征的研究方法进行综述,在分析车流动态特征产生机理的基础上,指出现有方法的不足,并提出神经网络模型来刻划交叉口动态特征.

     

    Abstract: Intersection control is an important part of traffic control system, and traffic demand model describing dynamic characteristics of an intersection play a basic role in an adaptive traffic signal control system in real-time. In this paper, various approaches that have been adopted in the past are reviewed. On the basis of analyzing dynamic generation mechanism of intersections, some defaults of the previous methods are presented. In the end, an neural network model is built up to represent dynamic characteristics of road intersection.

     

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