• DocumentCode
    2248647
  • Title

    Calibration and validation of PARAMICS for freeway using toll data

  • Author

    Li Zhe ; Liu Hao ; Zhang Ke

  • Author_Institution
    Res. Inst. of Highway, Nat. ITS Res. Center, Beijing, China
  • fYear
    2009
  • fDate
    4-7 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    There are many parameters embedded in PARAMICS, a microscopic traffic simulation model. The model must be calibrated before use, to ensure the results derived from it to be realistic and reasonable. This paper presents a procedure for the calibration and validation of PARAMICS with toll data. The important parameters of PARAMICS are identified using 2k-p fractional factorial design and calibrated by using the detailed vehicle-by-vehicle toll data. A freeway in Guangdong Province, China, has been selected as test site. The simulation results after calibration and validation show that the target headway, mean reaction time, simulation step, aggressive distribution are affected simulation precision most deeply, and the calibrated simulation model is able to adequately represent freeway traffic conditions.
  • Keywords
    mathematical programming; road traffic; PARAMICS validation; aggressive distribution; fractional factorial design; freeway traffic condition; microscopic traffic simulation model; reaction time; simulation step; vehicle-by-vehicle toll data; Analytical models; Calibration; Data engineering; Intelligent transportation systems; Microscopy; Modeling; Road transportation; Testing; Traffic control; USA Councils; 2k-p fractional factorial design; Microscopic Traffic Simulation; PARAMICS; calibration and validation; toll data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2009. ITSC '09. 12th International IEEE Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-5519-5
  • Electronic_ISBN
    978-1-4244-5520-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2009.5309678
  • Filename
    5309678