• DocumentCode
    3068565
  • Title

    Vehicle acceleration noise: A solution for real-time highway traffic estimation based on low-speed floating vehicles

  • Author

    Chao Xie ; Qiming Qin ; Jun Li ; Jianghua Zhao

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3658
  • Lastpage
    3661
  • Abstract
    Highway traffic estimation based on floating vehicle data is one of the major methods in measuring traffic conditions now. Under normal circumstance, average vehicle speed data, which is used to determine traffic conditions, is mainly obtained from taxis and other small vehicles which travel at a speed similar to the road´s free traffic flow speed. But for intercity highways and suburban roads that are less traveled by taxis, coach buses and hazmat cargo trucks, which are traveling at a much slower speed compared to the road´s free traffic flow speed, are required to compute traffic conditions. This paper introduced a new method in which the traffic condition is estimated using acceleration noise algorithm and a speed classification system, along with the above mentioned low-speed floating vehicle data and verified it by calculating the traffic condition of expressway.
  • Keywords
    acceleration; road traffic; vehicle dynamics; acceleration noise algorithm; low-speed floating vehicles; real-time highway traffic estimation; speed classification system; traffic condition; vehicle acceleration noise; Acceleration; Estimation; Noise; Real-time systems; Roads; Vehicles; Acceleration noise; floating vehicles; traffic conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723623
  • Filename
    6723623