• DocumentCode
    105791
  • Title

    A Traffic Signal Optimization Model for Intersections Experiencing Heavy Scooter–Vehicle Mixed Traffic Flows

  • Author

    Chien-Lun Lan ; Gang-Len Chang

  • Author_Institution
    Dept. of Civil & Environ. Eng., Univ. of Maryland, College Park, MD, USA
  • Volume
    16
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1771
  • Lastpage
    1783
  • Abstract
    In response to the need for designing signal plans for congested intersections caused by heavy scooter-vehicle mixed flows, this paper presents our formulated model for optimizing both the cycle length and signal timings for isolated intersections. The proposed model accounts for the interactions between scooter and vehicle flows and reflects the maneuverability of scooters in the queue formation and discharging process. The robustness of the proposed formulations has been evaluated with field data and laboratory experiments. The signal optimization model, grounded on such formulations for scooter-vehicle mixed flows, has also been implemented at an intersection and assessed with a rigorous before-and-after field analysis. Our research concludes that incorporating the unique properties of scooter flows is essential for design and development of effective signal control strategies to contend with recurrent congestion caused by heavy mixed scooter-vehicle flows.
  • Keywords
    queueing theory; road traffic; before-and-after field analysis; congested intersections; cycle length; discharging process; heavy scooter-vehicle mixed traffic flows; isolated intersections; queue formation; recurrent congestion; signal plans; signal timings; traffic signal optimization model; Delays; Merging; Motorcycles; Optimization; Space exploration; Space vehicles; Mixed scooter–vehicle flows; Mixed scooter???vehicle flows; optimization; traffic signals;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2014.2376292
  • Filename
    6994838