JIANG Ya-ping and GUO Jun-liang. Study on vehicle flowrate prediction model of crossroads based on Markov process[J]. Journal of Light Industry, 2012, 27(6): 21-23,31. doi: 10.3969/j.issn.2095-476X.2012.06.006
Citation:
JIANG Ya-ping and GUO Jun-liang. Study on vehicle flowrate prediction model of crossroads based on Markov process[J]. Journal of Light Industry, 2012, 27(6): 21-23,31.
doi:
10.3969/j.issn.2095-476X.2012.06.006
Study on vehicle flowrate prediction model of crossroads based on Markov process
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College of Computer and Communication Engineering, Zhengzhou Univrsity of Light Industry, Zhengzhou 450001, China
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Received Date:
2012-09-03
Available Online:
2012-09-16
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Abstract
In order to predict the flow of vehicles of the each phase in the crossroads traffic controlling system,which can reasonable distribute the time of the each phase in one signal period,the vehicle flowrate prediction model of crossroads was built,this model uses the Markov analysis method and define the each phase as the current state,after the fragment of the time, as long as the system master the possibility of the transform the phase to another phase, the system can work out the corresponding control strategy.Experimental results showed that the errors between prediction of the flow of vehicles and the actual flow were small,and the method was feasible in the short-term traffic prediction.
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Proportional views
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