Red Signal Faults Could Be Reduced Further Thanks to Big Data Software

Press/Media: Expert Comment

Description

With the technological improvement on our tracks, trains passing red signals are at an all-time low. Without a major accident, it has been easier for the industry to maintain constant scrutiny and analysis of data and sustain a focus on where risk needs to be managed, such as at level crossings and the platform-train interface on stations. Improvements by the industry have meant that it’s been 17 years since Signals Passed at Danger (SPADs)

Subject

But now, train accident risks could be lowered even further by using big data to reduce the chances of a train passing a red signal according to the rail industry body RSSB. Thanks to a new online tool, rail companies will be able to harness the power of big data to identify the signals which are most frequently approached at a red signal.

Period9 Jun 2017 → 14 Jun 2017

Media coverage

2

Media coverage

  • TitleRed signal faults could be reduced further thanks to Big Data software.
    Media name/outletSmartTrail World
    Media typeWeb
    CountryUnited Kingdom
    Date14/06/17
    DescriptionThe technology has been developed by Rail Safety and Standards Board (RSSB) and the University of Huddersfield. Working in partnership with the RSSB ( @RSSB_rail ), Dr Yunshi Zhao and Mr Julian Stow from the University’s Institute of Railway Research (IRR) used this data to develop an algorithm giving the number of occasions when a signal is displaying a red aspect. An initial survey of seen signalling areas showed that 3.3% of all approaches were to red signals.
    URLhttps://www.smartrailworld.com/red-signal-faults-could-be-reduced-further-thanks-to-big-data-software
    PersonsYunshi Zhao, Julian Stow
  • TitleSoftware tool uses big data to reduce Spad risk
    Media name/outletIchainnel
    Media typeWeb
    CountryUnited Kingdom
    Date9/06/17
    DescriptionResearchers at the University of Huddersfield have developed a new software tool which harnesses big data to reduce the risk of Signals Passed at Danger (Spad) incidents.
    URLichainnel.com/en/news/981657_alv3yv-software-tool-uses-big-data-to-reduce-spad-risk/
    PersonsYunshi Zhao, Julian Stow