Cooperative Intelligent Transport Systems to Improve Safety at Level Crossing

Population increases globally have put considerable strain on transport infrastructure and transport management resulting in large social, environmental and economic costs. Cooperative Intelligent Transport Systems (ITS), based on Information and Communication Technologies (ICT), can help focus on problems associated with traffic management, infrastructure management and security, as well as enhanced driver safety and logistics support for transport operations. It will improve drivers' commutes, provide better information to city planners, increase the productivity of businesses and raise citizens' quality of life, reduce congestion, shrink fuel use and cut carbon dioxide (CO2) emissions. This paper presents a Cooperative Intelligent Transport Systems based solution that has been designed as a more efficient and effective approach to prevent and potentially eliminate collisions at rail/road crossings. Large scale field trials of the system at level crossing interfaces are producing promising outcomes and demonstrating that the developed solution can provide effective and actionable information to drivers approaching the rail/road interface. This is a major step towards the development of a comprehensive ITS based solution to improve safety at level crossings.

  • Supplemental Notes:
    • Abstract reprinted with permission from Intelligent Transportation Society of America.
  • Corporate Authors:

    ITS America

    1100 17th Street, NW, 12th Floor
    Washington, DC  United States  20036
  • Authors:
    • Singh, J
    • Desai, A
    • Acker, F
    • Ding, S
    • Prakasamul, S
    • Rachide, A
    • Bentley, K
    • Nelson-Furnel, P
  • Conference:
  • Publication Date: 2012

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 8p
  • Monograph Title: 19th ITS World Congress, Vienna, Austria, 22 to 26 October 2012

Subject/Index Terms

Filing Info

  • Accession Number: 01501872
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 23 2013 7:52AM