• DocumentCode
    1453193
  • Title

    Adaptive Metering Algorithm for Electronic Commercial Vehicle Preclearance Systems

  • Author

    Jinwoo Lee ; Chow, G.

  • Author_Institution
    Sch. of Urban Dev., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • Volume
    13
  • Issue
    3
  • fYear
    2012
  • Firstpage
    1116
  • Lastpage
    1124
  • Abstract
    This paper presents an adaptive metering algorithm for enhancing the electronic screening (e-screening) operation at truck weight stations. This algorithm uses a feedback control mechanism to control the level of truck vehicles entering the weight station. The basic operation of the algorithm allows more trucks to be inspected when the weight station is underutilized by adjusting the weight threshold lower. Alternatively, the algorithm restricts the number of trucks to inspect when the station is overutilized to prevent queue spillover. The proposed control concept is demonstrated and evaluated in a simulation environment. The simulation results demonstrate the considerable benefits of the proposed algorithm in improving overweight enforcement with minimal negative impacts on nonoverweighed trucks. The test results also reveal that the effectiveness of the algorithm improves with higher truck participation rates in the e-screening program.
  • Keywords
    automated highways; electric vehicles; metering; road traffic control; road vehicles; adaptive metering algorithm; e-screening operation; e-screening program; electronic commercial vehicle preclearance systems; electronic screening operation; feedback control mechanism; minimal negative impacts; nonoverweighed trucks; overweight enforcement; queue spillover prevention; simulation environment; truck participation rates; truck vehicles; truck weight stations; weight threshold; Adaptive systems; Feedback control; Inspection; Traffic control; Vehicles; Weight measurement; Commercial vehicle operations (CVO); electronic screening (e-screening); traffic control; truck weight; weight station;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2012.2185791
  • Filename
    6155606