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交通信息服务条件下的出行方式选择分析

Traffic information service under the conditions of travel mode choice analysis
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摘要 主要从分析出行者出行方式的影响因素,同时分析在交通信息服务下乘客对出行方式的选择模式,最后提出一种基于贝叶斯的动态出行方式选择方案,以及提出相应的例子进行论证,为以后的出行方案选择提供一定的决策作用。 This paper mainly analyzes the influential factors of the way passenger travel,and analyzes the traffic information service in the passenger travel to the choice of the ways of model,and finally put forward a kind of based on bayesian dynamic transportation options,and put forward the corresponding example of the argument,for the following travel plan selection provides certain decision-making role.
作者 何金海 He Jinhai
出处 《自动化与仪器仪表》 2016年第11期112-114,共3页 Automation & Instrumentation
关键词 交通信息服务 出行方式 贝叶斯 动态 traffic information services transportation bayesian dynamic
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  • 1秦小虎,刘利,张颖.一种基于贝叶斯网络模型的交通事故预测方法[J].计算机仿真,2005,22(11):230-232. 被引量:21
  • 2张树伟,姜克隽,刘德顺.城市客运交通的发展与能源消费——分析与情景模拟[J].城市问题,2006(9):61-64. 被引量:6
  • 3李海峰,王炜.基于神经网络的交通方式选择模型[J].公路交通科技,2007,24(7):132-136. 被引量:16
  • 4Guo Xiucheng, Lv Shen. Study of passenger flow forecast model on coperative and compeetitive OD matrix in urban rail transit in china[C]. The Sigapore : TEEE-ITSC, 2002.
  • 5Zhang N L. Irrelevance and parameter learning in Bayesian networks[J]. Artificial Intelligence, 1996, 88(1):359-373.
  • 6Vomlel J. Two applications of Bayesian networks[J]. In Proceedings of Conference Znalosti 2003,10 (2) :73-82.
  • 7Friedman N , Linial M , Nachman I , et al . Using Bayesian networks to analyze expression data[J]. Journal of Computational Biology, 2000,7 (3) : 601- 620.
  • 8Wolbrecht E,Dambrosio B,Paasch R,et al. Monitoring and diagnosis of a multistage manufacturing process using Bayesian networks[J].AI EDAM, 2000,14(1) :50-56.
  • 9Marcot B G, Holthausen R S,Raphael M G,et al. Using Bayesian belief networks to evaluate fish and wildlife population viability under management alternatives from an environmental impact statement [J]. Forest Ecology and Management, 153 ( 1 ) : 29- 42.
  • 10Moninder S,Marco,V.Construction of Bayesian network structures from data:A brief survey and an efficient algorithm [J].International Journal of Approximate Reasoning,1995,12(2):111-131..

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