An improved BP artificial neural network algorithm for urban traffic flow intelligent prediction 被引量：4

An improved BP artificial neural network algorithm for urban traffic flow intelligent prediction

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摘要 The traffic flow is interrelated to traffic congestion, the big traffic flow directly results in traffic congestion of some section. In this paper, on the basis of the research of overseas traffic accident, considering the characteristic of Chinese traffic, artificial neural network was used to predict traffic accident, and an improved BP artificial neural network model according with Chinese the situation of a country was proposed. The urban traffic flow prediction was simulated under the particular situation, the simulation result shows that the improved BP artificial neural network can fit the urban traffic flow prediction very well and have high performance. The traffic flow is interrelated to traffic congestion, the big traffic flow directly results in traffic congestion of some section. In this paper, on the basis of the research of overseas traffic accident, considering the characteristic of Chinese traffic, artificial neural network was used to predict traffic accident, and an improved BP artificial neural network model according with Chinese the situation of a country was proposed. The urban traffic flow prediction was simulated under the particular situation, the simulation resuh shows that the improved BP artificial neural network can fit the urban traffic flow pre- diction very well and have high performance.

作者 XIONG Shi-yong ZHANG Yi

机构地区 College of Software Automation College

出处《重庆邮电大学学报（自然科学版）》北大核心 2009年第2期305-308,共4页 Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

关键词 BP人工神经网络模型人工神经网络算法城市交通流智能预测预测模拟交通流量交通拥堵交通事故 traffic flow BP network Rrediction

分类号 U491.112 [交通运输工程—交通运输规划与管理] TP183 [自动化与计算机技术—控制理论与控制工程]

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