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Intelligent Control System for Railway Level Crossing Safety

  • Bong-Kwan Cho
  • Sang-Hwan Ryu
  • Hyeon-Chyeol Hwang
  • Seoung-Chon Koh
  • Do-Hyeon Lee
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

Accident protection system at railway level crossing usually informs vehicle drivers and pedestrian that train is approaching, and eventually prevents them from passing the level crossing. This paper proposes a new level crossing safety system to solve the problem of existing system and to deal with the changing traffic condition at level crossing. The objective of the proposed system is to detect stopped vehicles at a level crossing with the state-of-the-art intelligent technology (sensor, computer, data processing, communication) and to transmit information to train allowing train drivers to stop their trains automatically and to display information of approaching train to vehicle drivers in real-time and to develop technology for accident prevention and damage reduction in connection with road traffic signal system. To evaluate the function and operation, we have demonstrated the proposed system at real railway level crossing of Young-dong line of Korail with Sea Train.

Keywords

Intelligent level crossing Obstacle detection Image processing On-board monitoring 

References

  1. 1.
    Ryu SH, Cho BK, Park CH, Part JH, Gee IC (2008) Accident prevention and damage reduction technology development through intelligence of highway-railroad grade crossing. Korea Railroad Research Institute ReportGoogle Scholar
  2. 2.
    Federal Highway Administration (2001) Intelligent transportation systems at highway-rail intersections. A cross- cutting study. Federal Highway Administration, Washington, DC Google Scholar
  3. 3.
    USDoT (2001) Vehicle proximity alert system for highway-railroad grade crossings. Final reportGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Bong-Kwan Cho
    • 1
  • Sang-Hwan Ryu
    • 1
  • Hyeon-Chyeol Hwang
    • 1
  • Seoung-Chon Koh
    • 2
  • Do-Hyeon Lee
    • 3
  1. 1.Korea Railroad Research InstituteUiwang-citySouth Korea
  2. 2.LG CNSSeoulSouth Korea
  3. 3.IT Convergence Techonology Research CenterNamseoul UniversityCheonan-citySouth Korea

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