• DocumentCode
    2625528
  • Title

    Stress Test of Roadway Network Capacity

  • Author

    Li, Li ; Quan, Yu ; Yang, Bian ; Ping, Yi

  • Author_Institution
    Transp. Res. Center, Beijing Univ. of Technol., Beijing, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    467
  • Lastpage
    471
  • Abstract
    This paper studies roadway network capacity by applying a stress test method to estimate the ultimate limitation of the roadway network to accommodate the travel demand. The method considers the factors affecting capacity of roadway network and defines the evaluation index of roadway operation quality--the average degree of saturation of traffic flow and the average speed. By using macro traffic simulation and planning software, the average degree of saturation and the average speed are calculated and compared in the computer. If the results are smaller than predefined evaluation index, additional traffic load (pressure) would be released onto the network using a regression based approach or dichotomy analysis. The process continues until the evaluation index is satisfied when the roadway network reached its capacity. This paper establishes the stress test criteria and applies the method to the Huairou District of Beijing to get its roadway network capacity, 104923 pcu/h.
  • Keywords
    regression analysis; road traffic; stress analysis; traffic engineering computing; dichotomy analysis; macrotraffic simulation; predefined evaluation index; regression based approach; roadway network capacity; roadway operation quality; software planning; stress test method; traffic flow; traffic load; Communication system traffic control; Computational modeling; Computer science; Computer simulation; Linear programming; Road transportation; Stress; Telecommunication traffic; Testing; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.38
  • Filename
    5170579