Research on a Prediction Model for Successive Congestion in Traffic Networks

Traffic congestion has a number of negative effects. In order to predict the future traffic congestion quickly and efficiently, this paper constructs a prediction model for successive congestion in traffic network to solve the problem of urban traffic congestion. In this model, a matrix representati...

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Veröffentlicht in:	International journal of advancements in computing technology 2012-11, Vol.4 (21), p.92-99
Hauptverfasser:	Lei, Du, Guixing, Zheng, Bei, Jia, Xiankun, Zhang, AiGuang, Jia, Lina, Bai
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Congestion Construction Mathematical models Matrix representation Networks Traffic engineering Traffic flow
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container_title	International journal of advancements in computing technology
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creator	Lei, Du Guixing, Zheng Bei, Jia Xiankun, Zhang AiGuang, Jia Lina, Bai
description	Traffic congestion has a number of negative effects. In order to predict the future traffic congestion quickly and efficiently, this paper constructs a prediction model for successive congestion in traffic network to solve the problem of urban traffic congestion. In this model, a matrix representation of the traffic network was defined, and the prediction sequence of traffic network congestion was also described. Moreover, the calculation method for the change of traffic network and the traffic flow redistribution were proposed after congestion occurs. Correspondingly, the prediction algorithm was also given. Finally, the experiment of the traffic congestion is completed to validate this model.
doi_str_mv	10.4156/ijact.vol4.issue21.12
format	Article
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subjects	Algorithms Congestion Construction Mathematical models Matrix representation Networks Traffic engineering Traffic flow
title	Research on a Prediction Model for Successive Congestion in Traffic Networks
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