JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 27 Issue 6
September 2012
Article Contents
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 shu

Study on vehicle flowrate prediction model of crossroads based on Markov process

  • Received Date: 2012-09-03
    Available Online: 2012-09-16
  • 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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