• DocumentCode
    1851689
  • Title

    Study on Reasons and Countermeasures of Traffic Congestion of Urban Road Based on the Queuing Models

  • Author

    Fu-yu Wang ; Chun-Ming Ye ; Yan Li

  • Author_Institution
    Manage. Sch., Univ. of Shanghai for Sci. Technol., Shanghai, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    1855
  • Lastpage
    1858
  • Abstract
    The traffic jam of urban road is one of the important issues of common concern to the international community, which affects the efficiency and quality of city life. In order to solve the urban road traffic congestion problem, this paper gathers information and data about a five forks by the Work Sampling and image analysis method. Then, according to the queuing model of M/M/1, these parameters as the average arrival rate, average service rate and queue length are measured. After that, the paper analyzes the road traffic congestion reasons by the busy rate and free rate of each crossing. Based on the reasons, the countermeasures to solve traffic congestion are put forward. The results show that the improvement to the five forks can effectively reduce the queue time of crossing vehicles.
  • Keywords
    image processing; queueing theory; road traffic; traffic engineering computing; image analysis; queuing models; traffic congestion; traffic jam; urban road; work sampling; Educational institutions; Mathematical model; Planning; Queueing analysis; Roads; Vehicles; MATLAB; countermeasure analysis; queuing theory; simulation; traffic congestion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.485
  • Filename
    6643404