• DocumentCode
    169620
  • Title

    A Study on Density Map Based Crash Analysis

  • Author

    Dongwook Lee ; Minsoo Hahn

  • Author_Institution
    Digital Media Lab., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2014
  • fDate
    6-9 May 2014
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Travel path of vehicles contains valuable information on real-time traffic environment and situation. Recently, due to the technology advances, collecting travel paths of vehicles became easier. In this paper, we tried to extract the crash related information from the vehicle trajectories. We assumed that the distribution of vehicle trajectories in opposite directions will have relation with the accident and performed an exploratory study using bicycle GPS data. The bicycle GPS data were collected from a segregated bicycle track including accident black spots. Collected data were divided into two groups according to the heading, and utilized to the construction of the density maps. Based on the density map, an intersection map which indicates the intersection ratio was built. The intersection ratio was compared with the crash risk and it showed minor relation.
  • Keywords
    Global Positioning System; bicycles; road accidents; road traffic; road vehicles; accident black spot; bicycle GPS data; bicycle track; density map based crash analysis; intersection map; intersection ratio; traffic environment; vehicle trajectory distribution; vehicle travel path; Accidents; Bicycles; Global Positioning System; Roads; Trajectory; Vehicle crash testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2014 International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4799-4443-9
  • Type

    conf

  • DOI
    10.1109/ICISA.2014.6847341
  • Filename
    6847341