• DocumentCode
    1444236
  • Title

    A Simplified Estimation Scheme for the Number of Vehicles in Signalized Links

  • Author

    Vigos, Georgios ; Papageorgiou, Markos

  • Author_Institution
    Dept. of Production Eng. & Manage., Tech. Univ. of Crete, Chania, Greece
  • Volume
    11
  • Issue
    2
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    312
  • Lastpage
    321
  • Abstract
    The number of vehicles that are included in a metered motorway ramp or an urban signalized link at any time is valuable information for real-time control. A recently developed Kalman-filter-based real-time estimator for the vehicle count within signalized links, using three detector cross stations, is simplified in this paper to allow for reliable estimates on the basis of one single time-occupancy measurement that is typically available in urban signalized links. The simplified vehicle-count estimator is tested and compared with the three-detector estimation scheme via microscopic simulation for a variety of scenarios and traffic conditions. Several related issues are addressed: the effect of utilizing more measurements, as well as the impact of the update period, signal cycle, vehicle length, and link length. The simulation investigations indicate less-accurate but still reasonable and robust estimation performance of the simplified estimator with low calibration effort needed, which facilitates easy applicability of the method.
  • Keywords
    Kalman filters; signal detection; traffic control; vehicles; Kalman-filter-based real-time estimator; detector estimation scheme; microscopic simulation; real-time control; real-time estimation; signalized links; simplified estimation scheme; vehicle count estimator; Estimation of link vehicle count; Kalman filter (KF); link queue; ramp queue;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2010.2042807
  • Filename
    5433038