• DocumentCode
    3601649
  • Title

    Development of a Deceleration-Based Surrogate Safety Measure for Rear-End Collision Risk

  • Author

    Sehyun Tak ; Sunghoon Kim ; Hwasoo Yeo

  • Author_Institution
    Dept. of Civil & Environ. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • Volume
    16
  • Issue
    5
  • fYear
    2015
  • Firstpage
    2435
  • Lastpage
    2445
  • Abstract
    A surrogate safety measure can be used for preventing hazardous roadway events by evaluating the potential safety risk by using information on the driving environment gathered from vehicles. In this paper, the deceleration-based surrogate safety measure (DSSM) is proposed as a safety indicator for rear-end collision risk evaluation based on the safety conditions and the decision-making process during human driving. The DSSM shows how drivers deal with collision risk differently in acceleration and deceleration phases. The proposed surrogate safety model has been validated for severe deceleration behavior, which is a driver-critical behavior in high-risk situations of collision based on microscopic vehicle trajectory data. The results indicate that there is a strong relationship between the proposed surrogate safety measures and crash potential. The measure could be used for collision warning and collision avoidance systems. It has a merit in that it reflects the characteristics of both vehicle (e.g., mechanical braking capability) and driver (e.g., preference for certain acceleration rates).
  • Keywords
    collision avoidance; intelligent transportation systems; risk management; road accidents; road safety; road traffic; road vehicles; DSSM; acceleration phases; collision avoidance systems; collision warning systems; crash potential; deceleration phases; deceleration-based surrogate safety measure development; decision-making process; driver-critical behavior; driving environment; hazardous roadway events; high-risk situations; human driving; intelligent transportation system; microscopic vehicle trajectory data; rear-end collision risk evaluation; safety conditions; safety indicator; safety risk; severe deceleration behavior; surrogate safety model; vehicles; Acceleration; Accidents; Decision support systems; Roads; Safety; Vehicle crash testing; Vehicles; Collision avoidance; ITS; driving assistance; safety warning; surrogate safety measure;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2015.2409374
  • Filename
    7065273