Hitachi's UK plant looks to the world market
Sliding seats could enable passenger trains to carry goods
A1 No 60163 Tornado does 100mph
Rail Alliance drives Midlands Engine
GB Railfreight to implement Ideagen safety software
UAV survey company Bridgeway Aerial takes off
Fire at Euston Station causes nationwide rail disruption
DB Cargo UK confirms job cuts and reform
Subsea cable fault detection demonstrated to rail industry
HS2 rolling stock procurement moves forward
Greater Anglia has worked with Toshiba to create a ‘digital twin’ of its network to assist with the development of new timetables, which can then be tested for robustness using artificial intelligence.
Toshiba Digital & Consulting Corp consolidated data previously stored across separate systems, bringing together information on Greater Anglia’s routes, rolling stock performance, timetables and operating rules. This was verified by interviewing station and on-train staff to obtain information on human factors not present in the data.
A computer model which accurately represents the real operating environment was then created, enabling adjustments to be made to calling patterns, train timings and platform allocations in order to make the timetable more efficient and robust.
Toshiba’s timetable risk evaluation methodology was used to assess the proposed timetables, flagging up timing or platform conflicts.
Greater Anglia’s Head of Performance & Planning Keith Palmer said working with Toshiba’s digital twin was ‘really exciting’. It would ‘enable us to build better timetables, delivering better performance and reduced journey times based on the excellent practices used in Japan and beyond’, he believed.
Toshiba said the UK’s vertical separation with multiple operators made train planning extremely complex, but the industry was keen to avoid a repeat of the chaotic introduction of the May 2018 timetable.
Toshiba Digital & Consulting Corp President Noriyasu Okitani said the Greater Anglia project had ‘successfully demonstrated the role AI and machine learning can play in delivering more accurate and efficient train timetables’. The company now intends to deploy the technology elsewhere and expand the services offered.
This article first appeared on www.railwaygazette.com
About this website
Railpage version 3.10.0.0037
All logos and trademarks in this site are property of their respective owner. The comments are property of their posters, all the rest is © 2003-2019 Interactive Omnimedia Pty Ltd.
You can syndicate our news using one of the RSS feeds.