NDLI: Chaos rapid identifying of traffic flow using neural networks with PSO

Content Provider	IEEE Xplore Digital Library
Author	Pang Ming-bao Zhang Jing-jing Dong Fang Wang Yan-hu
Copyright Year	2011
Description	Author affiliation: Transportation Department, School of Civil Engineering, Hebei University of Technology, Tianjin, P.R. China (Pang Ming-bao; Zhang Jing-jing; Dong Fang; Wang Yan-hu)
Abstract	The problem of chaos rapid judging in traffic flow was studied using neural networks with particle swarm optimization (PSO). Based on analyzing the demand of intelligent transportation system and the problems of the existing methods of chaos identifying, the intelligent method of chaos rapid judging in traffic flow was proposed. The principle and the structure of the system are briefly introduced. There are online identifying module and offline identifying module mainly. Wolf method is used to calculate the largest Lyapunov exponent and judge chaos in offline identifying module. The online judging model was established using neural networks, which the wavelet packet energy features vector of the anterior time headway time series of traffic flow in every training sample were used as input variables. PSO was used to identify and update the parameters of the model. The simulation result shows that the method is correct and feasible. And it can satisfy the real-time requirement of chaos identifying in traffic flow.
Starting Page	2054
Ending Page	2057
File Size	250935
Page Count	4
File Format	PDF
ISBN	9781424481620
e-ISBN	9781424481651
DOI	10.1109/ICECENG.2011.6057126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Chaos identifing The largest lyapunov exponent Time series analysis Particle swarm optimization (PSO) Neural networks (NN) Particle swarm optimization Training Traffic flow Neural networks Time headway Feature extraction Wavelet packets Intelligent Transportation System (ITS)
Content Type	Text
Resource Type	Article

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