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模糊层次分析法优化BP神经网络的交通冲突预测模型
引用本文:黄红梅.模糊层次分析法优化BP神经网络的交通冲突预测模型[J].价值工程,2014(32):242-243.
作者姓名:黄红梅
作者单位:广东工业大学华立学院,广州,511325
摘    要:本文通过全面剖析影响交通冲突的原因,以交通流量、道路几何设计和道路环境三方面的因素建立指标层次结构体系。提出基于模糊层次分析(FAHP)法优化BP神经网络(BPNN)的预测模型,应用于交通冲突预测。

关 键 词:交通冲突  预测  BP神经网络  模糊层次分析

The Prediction Model for Traffic Conflicts Based on FAHP and BPNN
HUANG Hong-mei.The Prediction Model for Traffic Conflicts Based on FAHP and BPNN[J].Value Engineering,2014(32):242-243.
Authors:HUANG Hong-mei
Institution:HUANG Hong-mei ( Huali College, Guangdong University of Technology, Guangzhou 511325, China )
Abstract:In this paper, through the comprehensive analysis of the impact of traffic conflicts, and the three factors of traffic flow, road geometry design and road environment is used to establish the index hierarchy system. And this paper puts forward a traffic conflict prediction model that was established based on fuzzy analytical hierarchy process (FAHP) and BP neural network (BPNN).
Keywords:traffic conflict  prediction  BP neural network  fuzzy analytical hierarchy process
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