Media coverage
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Media coverage
Title Researchers develop algorithm to reduce rail delays Degree of recognition National Media name/outlet Rail Magazine Media type Print Country/Territory United Kingdom Date 22/09/21 Description Edward Smart, KTP academic supervisor, said: “As a commuter myself, I’m delighted to be able to contribute to this project that will improve the customer experience. It highlights the impact that machine learning algorithms can have for real world applications.” Persons Edward Smart, Chris Simms, Gerald Miller Title Researchers At University Of Portsmouth Develop First Algorithm To Reduce Train Delays Degree of recognition International Media name/outlet Vertical Lobby Media type Web Country/Territory United Kingdom Date 3/09/21 Description The intelligent tool was developed by researchers at the university in conjunction with First MTR South Western Railway via a two-year knowledge transfer partnership (KTP), funded by Innovate UK. Producer/Author Kevin Colleran URL https://verticallobby.com/researchers-at-university-of-portsmouth-develop-first-algorithm-to-reduce-train-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title Researchers at University of Portsmouth develop first algorithm to reduce train delays Degree of recognition International Media name/outlet The News Media type Web Country/Territory United Kingdom Date 2/09/21 Description The intelligent tool was developed by researchers at the university in conjunction with First MTR South Western Railway via a two-year knowledge transfer partnership (KTP), funded by Innovate UK. URL https://www.portsmouth.co.uk/education/researchers-at-university-of-portsmouth-develop-first-algorithm-to-reduce-train-delays-3368279?amp Persons Edward Smart, Chris Simms, Gerald Miller Title Machine learning deployed to support train operations decision-making Degree of recognition International Media name/outlet Railway Gazette Media type Web Country/Territory United Kingdom Date 11/08/21 Description South Western Railway and the University of Portsmouth have co-operated to develop machine learning software which analyses real-time train running data to automatically identify services at risk of delay and assist controllers with selecting and implementing the most appropriate contingency plan. URL https://www.railwaygazette.com/uk/machine-learning-deployed-to-support-train-operations-decision-making/59691.article?adredir=1 Persons Edward Smart, Chris Simms, Gerald Miller Title Algorithm to reduce train delays developed in the UK Degree of recognition International Media name/outlet Rail Tech Media type Web Country/Territory United Kingdom Date 6/08/21 Description The algorithm was developed via a two-year knowledge transfer partnership (KTP), funded by Innovate UK, a public body funded by the UK government. The tool is currently being used within the South Western Railway (SWR) Control Centre, which is responsible for controlling the movement of trains across the UK network. Producer/Author Esther Geerts URL https://www.railtech.com/digitalisation/2021/08/06/algorithm-to-reduce-train-delays-developed-in-the-uk/?gdpr=accept Persons Edward Smart, Chris Simms, Gerald Miller Title Wave 105 Discussion Degree of recognition Local Media name/outlet Wave 105 Media type Radio Country/Territory United Kingdom Date 5/08/21 Description Radio discussion on the algorithm developed by researchers at the University of Portsmouth which can reduce rail delays Persons Edward Smart, Chris Simms, Gerald Miller Title Researchers at the University of Portsmouth have developed an algorithm to help reduce rail delays Degree of recognition International Media name/outlet Railway News Media type Web Country/Territory United Kingdom Date 3/08/21 Description Working in collaboration with First MTR South Western Railway via a two-year knowledge-transfer partnership (KTP) that was funded by Innovate UK, the researchers developed the first algorithm capable of detecting delays on tracks automatically. Producer/Author Josephine Cordero Sapién URL https://railway-news.com/university-of-portsmouth-researchers-develop-algorithm-to-reduce-rail-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title University Researchers Develop Algorithms to Reduce Train Delays Degree of recognition International Media name/outlet Chanson-Francaise Media type Web Country/Territory United Kingdom Date 3/08/21 Description Researchers at the University of Portsmouth have developed a new smart tool capable of automatically detecting lane delays. Producer/Author Rodney Johnson URL https://www.chanson-francaise.net/university-researchers-develop-algorithms-to-reduce-train-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title Researchers develop algorithm to reduce rail delays Degree of recognition International Media name/outlet Rail UK Media type Web Country/Territory United Kingdom Date 3/08/21 Description In news that will bring a cheer to the hearts of many commuters, the first algorithm to detect delays automatically on the tracks has been developed. URL https://railuk.com/rail-news/researchers-develop-algorithm-to-reduce-rail-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title SWR and the University of Portsmouth have developed an algorithm to reduce railway delays Degree of recognition International Media name/outlet Doapagi.com Media type Web Country/Territory China Date 3/08/21 Description It is reported that the first algorithm to automatically detect railway delays has been developed, which is good news for many commuters. URL https://www.doapagi.com/news/126532/swr-university-portsmouth-algorithm-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title University Of Portsmouth Researchers Develop Algorithm To Reduce Rail Delays Degree of recognition International Media name/outlet Railsistem.com Media type Web Country/Territory Turkey Date 3/08/21 Description Working in collaboration with First MTR South Western Railway via a two-year knowledge-transfer partnership (KTP) that was funded by Innovate UK, the researchers developed the first algorithm capable of detecting delays on tracks automatically URL www.railsistem.com/blog/2021/08/03/university-of-portsmouth-researchers-develop-algorithm-to-reduce-rail-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title University researchers develop algorithms to reduce rail delays Degree of recognition International Media name/outlet Rail Technology Magazine Media type Web Country/Territory United Kingdom Date 3/08/21 Description Researchers at the University of Portsmouth have developed a new intelligent tool which can automatically detect delays on the tracks. Producer/Author Matt Roberts URL https://www.railtechnologymagazine.com/articles/university-portsmouth-rail-delays-algorithm Persons Edward Smart, Chris Simms, Gerald Miller Title SWR and University of Portsmouth develop algorithm to reduce rail delays Degree of recognition International Media name/outlet Global Railway Review Media type Web Country/Territory United Kingdom Date 3/08/21 Description The intelligent tool was developed by researchers at the University of Portsmouth in conjunction with First MTR South Western Railway (SWR) via a two-year knowledge transfer partnership (KTP), funded by Innovate UK. URL https://www.globalrailwayreview.com/news/126532/swr-university-portsmouth-algorithm-delays/ Persons Edward Smart, Gerald Miller, Chris Simms Title Researchers develop algorithm to reduce rail delays Degree of recognition International Media name/outlet Rail Business Daily Media type Web Country/Territory United Kingdom Date 3/08/21 Description In news that will bring a cheer to the hearts of many commuters, the first algorithm to detect delays automatically on the tracks has been developed.
The intelligent tool was developed by researchers at the University of Portsmouth in conjunction with First MTR South Western Railway via a two-year knowledge transfer partnership (KTP), funded by Innovate UK.Producer/Author Danny Longhorn URL https://news.railbusinessdaily.com/researchers-develop-algorithm-to-reduce-rail-delays/ Persons Edward Smart, Chris Simms, Gerald Miller Title SWR and University of Portsmouth develop algorithm to reduce rail delays Degree of recognition International Media name/outlet Great Western Star Media type Web Country/Territory United Kingdom Date 3/08/21 Description The intelligent tool was developed by researchers at the University of Portsmouth in conjunction with First MTR Southwestern Railway. URL https://issuu.com/greatwesternstar/docs/summer_2021_issue_vol_1_no_4 Persons Edward Smart, Chris Simms, Gerald Miller