• DocumentCode
    81953
  • Title

    The Driving Safety Field Based on Driver–Vehicle–Road Interactions

  • Author

    Jianqiang Wang ; Jian Wu ; Yang Li

  • Author_Institution
    Dept. of Automotive Eng., Tsinghua Univ., Beijing, China
  • Volume
    16
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    2203
  • Lastpage
    2214
  • Abstract
    Vehicle driving safety is influenced by many factors, including drivers, vehicles, and road environments. The interactions among them are quite complex. Consequently, existing methods that evaluate driving safety perform inadequately because they only consider limited factors and their interactions. As such, it is difficult for kinematics-based and dynamics-based vehicle driving safety assistant systems to adapt to increasingly complex traffic environments. In this paper, we propose a new concept, i.e., the driving safety field. The concept makes use of field theory to represent risk factors owing to drivers, vehicles, road conditions, and other traffic factors. A unified model of the driving safety field is constructed, which includes the following three parts: 1) a potential field, which is determined by nonmoving objects on the roads, such as a stopped vehicle; 2) a kinetic field, which is determined by the moving objects on roads, such as vehicles and pedestrians; and 3) a behavior field, which is determined by the individual characteristics of drivers. Moreover, the applications of the model are proposed, and its application to a typical car-following scenario is illustrated, which evaluates the risks caused by multiple traffic factors. The driving safety field can reveal driver-vehicle-road interactions and their influences on driving safety, as well as predict driving safety trends owing to dynamic changes. In addition, the model can provide a new foundation for establishing driving safety measures and active vehicle control under complex traffic environments.
  • Keywords
    driver information systems; road safety; road traffic; road vehicles; active vehicle control; complex traffic environments; driver-vehicle-road interactions; driving safety field; driving safety prediction; dynamics-based vehicle driving safety assistant systems; kinematics-based vehicle driving safety assistant systems; risk factors; road conditions; road environments; vehicle driving safety field; Accidents; IEEE Potentials; Kinetic theory; Roads; Safety; Vectors; Vehicles; Driver–vehicle–road interactions; Driver???vehicle???road interactions; driving safety field; risk evaluation; traffic factors; vehicle safety;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2015.2401837
  • Filename
    7050373