Implementation of a stochastic routing service
This Final Year Project is a collaboration work with BMW Group and NTU-BMW Future Mobility Lab. It aims to integrate the stochastic traffic router developed previously onto the BMW Online System in Munich, German, and improve the algorithm efficiency and accuracy through Clustering.
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Language: | English |
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2016
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Online Access: | http://hdl.handle.net/10356/66943 |
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Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-669432023-03-03T20:38:54Z Implementation of a stochastic routing service Xu, Yaohe Dusit Niyato School of Computer Engineering DRNTU::Engineering::Computer science and engineering This Final Year Project is a collaboration work with BMW Group and NTU-BMW Future Mobility Lab. It aims to integrate the stochastic traffic router developed previously onto the BMW Online System in Munich, German, and improve the algorithm efficiency and accuracy through Clustering. Bachelor of Engineering (Computer Science) 2016-05-05T09:23:33Z 2016-05-05T09:23:33Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66943 en Nanyang Technological University 45 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Xu, Yaohe Implementation of a stochastic routing service |
description |
This Final Year Project is a collaboration work with BMW Group and NTU-BMW Future Mobility Lab. It aims to integrate the stochastic traffic router developed previously onto the BMW Online System in Munich, German, and improve the algorithm efficiency and accuracy through Clustering. |
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Dusit Niyato |
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Dusit Niyato Xu, Yaohe |
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Final Year Project |
author |
Xu, Yaohe |
author_sort |
Xu, Yaohe |
title |
Implementation of a stochastic routing service |
title_short |
Implementation of a stochastic routing service |
title_full |
Implementation of a stochastic routing service |
title_fullStr |
Implementation of a stochastic routing service |
title_full_unstemmed |
Implementation of a stochastic routing service |
title_sort |
implementation of a stochastic routing service |
publishDate |
2016 |
url |
http://hdl.handle.net/10356/66943 |
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1759857847857840128 |