• DocumentCode
    2739975
  • Title

    Proactive travel time predictions under interrupted flow condition

  • Author

    Bae, Sanghoon ; Kachroo, Pushkin

  • Author_Institution
    IHVS Res. Center of Excellence, Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    1995
  • fDate
    30 Jul-2Aug 1995
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    This research is focused on the development of a model for estimating arterial travel time by utilizing an automatic vehicle location (AVL) system-equipped bus as a probe vehicle. As an initial achievement, a prototype arterial travel time estimation model, applied to the bus arrival time estimation, was developed. The methodology adopted in this phase of the travel time estimation model was the online parameter adaptation algorithm. Three objectives were identified for this phase of the research. These were: (1) studying dynamics of bus behavior at a single bus stop; (2) extending the dynamics of bus behavior study to multiple bus stops; and (3) developing a prototype bus arrival time prediction model. The prototype travel time estimation was tested and evaluated through the simulation
  • Keywords
    parameter estimation; road traffic; arterial travel time; automatic vehicle location; bus arrival time estimation; bus behavior dynamics; bus stops; interrupted flow condition; online parameter adaptation algorithm; proactive travel time predictions; probe vehicle; road traffic management; simulation; Electronic mail; Least squares methods; Phase estimation; Predictive models; Probes; Prototypes; Testing; Vehicle dynamics; Vehicles; Virtual prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Navigation and Information Systems Conference, 1995. Proceedings. In conjunction with the Pacific Rim TransTech Conference. 6th International VNIS. 'A Ride into the Future'
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2587-7
  • Type

    conf

  • DOI
    10.1109/VNIS.1995.518836
  • Filename
    518836