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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
The Prediction Model for Traffic Conflicts Based on FAHP and BPNN
【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。
【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).
【关键词】 交通冲突;
预测;
BP神经网络;
模糊层次分析;
【Key words】 traffic conflict; prediction; BP neural network; fuzzy analytical hierarchy process;
【Key words】 traffic conflict; prediction; BP neural network; fuzzy analytical hierarchy process;
- 【文献出处】 价值工程 ,Value Engineering , 编辑部邮箱 ,2014年32期
- 【分类号】U491.265;TP183
- 【被引频次】9
- 【下载频次】243