Nederlandse Spoorwegen
Nederlandse Spoorwegen
2 Projects, page 1 of 1
assignment_turned_in Project2017 - 2025Partners:Leiden University, University of Colorado, Radboud Universiteit Nijmegen, Faculteit der Letteren, Taalwetenschap, University of Colorado, University of Colorado at Denver, Nederlandse Spoorwegen +6 partnersLeiden University,University of Colorado,Radboud Universiteit Nijmegen, Faculteit der Letteren, Taalwetenschap,University of Colorado, University of Colorado at Denver,Nederlandse Spoorwegen,Birmingham City University, Birmingham School of the Built Environment,Birmingham City University,Radboud Universiteit Nijmegen,LUCL,Nederlandse Spoorwegen,Leiden University, Faculty of HumanitiesFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 276-70-029With a team of deaf and hearing researchers, Dr. Victoria Nyst, Leiden University Centre for Linguistics, will compare the gesturing of hearing speakers with the sign languages that emerged in villages with a high incidence of deafness in West Africa, to establish whether grammatical differences in sign languages can be traced to cross-cultural differences in gesture.
more_vert assignment_turned_in Project2020 - 9999Partners:Nederlandse Spoorwegen, Nederlandse Spoorwegen, Universiteit van Amsterdam, Faculteit der Natuurwetenschappen, Wiskunde en Informatica (Faculty of Science), Instituut voor Informatica (IVI), Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science), Theoretical Computer Science, VU +1 partnersNederlandse Spoorwegen,Nederlandse Spoorwegen,Universiteit van Amsterdam, Faculteit der Natuurwetenschappen, Wiskunde en Informatica (Faculty of Science), Instituut voor Informatica (IVI),Vrije Universiteit Amsterdam, Faculteit der Bètawetenschappen (Faculty of Science), Afdeling Informatica (Computer Science), Theoretical Computer Science,VU,Universiteit van AmsterdamFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: ENPPS.LIFT.019.011Self-learning software to make train maintenance more efficient This project will research into how AI techniques, which can quickly derive plans to tackle complex problems, could be used to better plan train shunting movements. It will also examine how these techniques could take account of human planners’ existing preferences and how these plans, if necessary, could be efficiently adapted. It is expected that the use of AI will raise the capacity of shunting yards, allowing more trains to be parked and maintained there.
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