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A comprehensive study of advanced information feedbacks in real-time intelligent traffic systems

  • Bokui Chen
  • , Yanbo Xie
  • , Wei Tong
  • , Chuanfei Dong
  • , Dongmei Shi
  • , Binghong Wang
  • University of Science and Technology of China
  • University of Michigan, Ann Arbor
  • University of Shanghai for Science and Technology

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

In the intelligent transportation system, an effective feedback strategy is of crucial importance to the improvement of traffic condition and transport capability. Based on the seven previously introduced feedback strategies, a new one is introduced, called vacancy length feedback strategy (VLFS). The simulation results in the symmetrical two-route scenario with two exits suggest that VLFS is the optimal one among all the feedback strategies. It outperforms others in terms of the value, stability, average flux and balance of the vehicle number, and also exceeds others for the convenience of its application in the real traffic condition. The later simulation results in the asymmetrical two-route scenario with one exit also prove that VLFS is the best.

Original languageEnglish
Pages (from-to)2730-2739
Number of pages10
JournalPhysica A: Statistical Mechanics and its Applications
Volume391
Issue number8
DOIs
StatePublished - 15 Apr 2012
Externally publishedYes

Keywords

  • Intelligent traffic systems
  • NS model
  • Two-route scenario
  • Vacancy length information feedback strategy

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