Media coverage
2
Media coverage
Title Red signal faults could be reduced further thanks to Big Data software. Media name/outlet SmartTrail World Media type Web Country/Territory United Kingdom Date 14/06/17 Description The 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. URL https://www.smartrailworld.com/red-signal-faults-could-be-reduced-further-thanks-to-big-data-software Persons Yunshi Zhao, Julian Stow Title Software tool uses big data to reduce Spad risk Media name/outlet Ichainnel Media type Web Country/Territory United Kingdom Date 9/06/17 Description Researchers 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. URL ichainnel.com/en/news/981657_alv3yv-software-tool-uses-big-data-to-reduce-spad-risk/ Persons Yunshi Zhao, Julian Stow