• DocumentCode
    975119
  • Title

    Using ITS to Improve the Capacity of Freeway Merging Sections by Transferring Freight Vehicles

  • Author

    Sarvi, Majid ; Kuwahara, Masao

  • Author_Institution
    Dept. of Civil Eng., Monash Univ., Melbourne, VIC
  • Volume
    9
  • Issue
    4
  • fYear
    2008
  • Firstpage
    580
  • Lastpage
    588
  • Abstract
    This paper investigates the effect of heavy commercial vehicles on traffic characteristics and operation of freeway merging sections. Freeways are designed to facilitate the flow of traffic, including passenger cars and trucks. The impact of these different vehicle types is not uniform, creating problems in freeway operations and safety, particularly in the vicinity of merging sections. There have been very few studies that are concerned with the traffic behavior and characteristics of heavy vehicles in these situations. Therefore, a three-year study was undertaken to investigate traffic behavior and operating characteristics during the merging process under congested traffic conditions. First extensive traffic data collection captured a wide range of traffic and geometric information using detectors, videotaping, and surveys at several interchanges. The macroscopic detector data were used to identify and quantify the impact of heavy commercial vehicles on the capacity of merging sections. Subsequently, the microscopic data were utilized to establish a model for the behavior of drivers at merging sections. Based on this behavioral model, a microsimulation program was developed to simulate the actual traffic conditions. This model was used to evaluate the capacity of a merging section for a given geometric design and traffic flow condition. In addition, this model was employed to develop a variety of intelligent transport system control strategies that are associated with heavy commercial vehicles with the goal of designing safer and less-congested freeway merging points. The implementation of the proposed control strategies showed significant improvement over the capacity of merging sections.
  • Keywords
    automated highways; digital simulation; human factors; road safety; road traffic; road vehicles; congested road traffic flow condition; driver behavioral model; freeway merging section capacity; freight vehicle; geometric design; heavy commercial vehicle; intelligent transportation system control strategy; macroscopic detector data; microsimulation program; passenger car; road safety; truck; Freeway capacity improvements; freeway merging sections; heavy commercial vehicle lane changing; intelligent transportation systems for freight movement; merging behavior; merging microsimulation;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2008.2006812
  • Filename
    4663960