The estimation of road traffic states based on compressive sensing

The accurate estimation of traffic states of the road traffic network can provide decision-making for both travellers and traffic managers. In this paper, an algorithm based on compressive sensing is presented to estimate traffic states of the road traffic network. Firstly, the compressive sensing theory is presented. Then to make sure that the compressive sensing theory can be applied to the estimation of traffic states of the road traffic network, the compressibility analysis of the road traffic states data is discussed. Finally, the road traffic states estimation approach based on compressive sensing is presented. The applications of this road traffic states estimation algorithm are also discussed. One typical road network in Beijing is adopted for case studies. The final results of the experiments are listed, which prove that this traffic states estimation approach based on compressive sensing is feasible and can achieve a high accuracy.

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    • © 2014 Hong Kong Society for Transportation Studies Limited. Abstract reprinted with permission of Taylor & Francis.
  • Authors:
    • Xu, Dong Wei
    • Dong, Hong Hui
    • Li, Hai Jian
    • Jia, Li Min
    • Feng, Yuan Jing
  • Publication Date: 2015-5

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  • English

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  • Accession Number: 01669328
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 21 2018 3:00PM