Algorithm Based on Gust and Flood Forecasts for Managing Train Operation Control and Passenger Evacuation

Climate change has led over recent years to a rise in short, heavy rain and there is concern that tornadoes and floods etc. will also increase. RTRI is therefore developing a dynamic hazard mapping system as a technique to reduce injury to railway passengers and damage to railways in case of such disasters. Using the results from hazard mapping evaluations, an algorithm was developed to aid decision making about where to stop trains, and when necessary, where to evacuate passengers. This paper reports on the algorithm for managing train operations in such circumstances and offers guidance for evacuating passengers.

• Record URL:
  • https://doi.org/10.2219/rtriqr.59.3_188
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00339008
• Authors:
  • OZAKI, Naoya
  • WATANABE, Takuya
  • FUKASAWA, Noriko
• Publication Date: 2018

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 188-193
• Serial:
  • Quarterly Report of RTRI
  • Volume: 59
  • Issue Number: 3
  • Publisher: Railway Technical Research Institute
  • ISSN: 0033-9008
  • EISSN: 1880-1765
  • Serial URL: https://www.jstage.jst.go.jp/browse/rtriqr/-char/en
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Climate change; Evacuation; Floods; Gusts; Hazards; Train operations
• Subject Areas: Environment; Operations and Traffic Management; Passenger Transportation; Railroads;

Filing Info

• Accession Number: 01682151
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Sep 27 2018 4:11PM