基于BP神经网络的交通事故易发段研究

Research on frequent section of traffic accidents based on BP nerve network

在研究道路平面线形的基础上,提出应用BP神经网络来对道路交通事故易发段进行鉴别,简要介绍了BP神经网络模型结构与特点,并通过实例分析,验证了该方法的有效性,对今后旧路改造,新路规划设计具有一定指导意义。

Based on the research on the plane linear of roads,the paper introduces the structure of BP nerve network and its features,points out the identification of the frequent section of traffic sections by adopting BP nerve network,and proves the feasibility of the method according to the case analysis,so as to have the direction significance for the future reconstruction of old roads and the design and planning of the new roads.