Symbiotic simulation for future electro-mobility transportation systems
Electro-mobility is widely regarded as the future of transportation systems. The shift from fossil fuel-based engines to electro-mobility will pose new challenges to the operations of future transportation systems. Our vision of a smart transportation system for the future entails a collaborative co...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/99046 http://hdl.handle.net/10220/12841 |
| _version_ | 1824457040754376704 |
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| author | Aydt, Heiko Lees, Michael Knoll, Alois |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Aydt, Heiko Lees, Michael Knoll, Alois |
| author_sort | Aydt, Heiko |
| collection | NTU |
| description | Electro-mobility is widely regarded as the future of transportation systems. The shift from fossil fuel-based engines to electro-mobility will pose new challenges to the operations of future transportation systems. Our vision of a smart transportation system for the future entails a collaborative communication and simulation infrastructure that can help to mitigate common traffic-related problems as well as problems that are specific to electric vehicles. At the core of this smart transportation system would be a symbiotic simulation system which incorporates information provided by the various traffic participants into city-scale traffic simulations. We describe the symbiotic simulation system and highlight the research challenges that need to be addressed in order to realize such a system. This includes a server-based city-scale simulation which would forecast general traffic patterns and conditions in the near-future. The outcome of these simulations can be used by server-based smart routing services and/or in-car navigation systems. |
| first_indexed | 2025-02-19T04:03:41Z |
| format | Conference Paper |
| id | ntu-10356/99046 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T04:03:41Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/990462020-05-28T07:19:21Z Symbiotic simulation for future electro-mobility transportation systems Aydt, Heiko Lees, Michael Knoll, Alois School of Computer Engineering Winter Simulation Conference (2012 : Berlin, Germany) DRNTU::Engineering::Computer science and engineering Electro-mobility is widely regarded as the future of transportation systems. The shift from fossil fuel-based engines to electro-mobility will pose new challenges to the operations of future transportation systems. Our vision of a smart transportation system for the future entails a collaborative communication and simulation infrastructure that can help to mitigate common traffic-related problems as well as problems that are specific to electric vehicles. At the core of this smart transportation system would be a symbiotic simulation system which incorporates information provided by the various traffic participants into city-scale traffic simulations. We describe the symbiotic simulation system and highlight the research challenges that need to be addressed in order to realize such a system. This includes a server-based city-scale simulation which would forecast general traffic patterns and conditions in the near-future. The outcome of these simulations can be used by server-based smart routing services and/or in-car navigation systems. 2013-08-02T03:14:31Z 2019-12-06T20:02:39Z 2013-08-02T03:14:31Z 2019-12-06T20:02:39Z 2012 2012 Conference Paper https://hdl.handle.net/10356/99046 http://hdl.handle.net/10220/12841 10.1109/WSC.2012.6465312 en |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Aydt, Heiko Lees, Michael Knoll, Alois Symbiotic simulation for future electro-mobility transportation systems |
| title | Symbiotic simulation for future electro-mobility transportation systems |
| title_full | Symbiotic simulation for future electro-mobility transportation systems |
| title_fullStr | Symbiotic simulation for future electro-mobility transportation systems |
| title_full_unstemmed | Symbiotic simulation for future electro-mobility transportation systems |
| title_short | Symbiotic simulation for future electro-mobility transportation systems |
| title_sort | symbiotic simulation for future electro mobility transportation systems |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/99046 http://hdl.handle.net/10220/12841 |
| work_keys_str_mv | AT aydtheiko symbioticsimulationforfutureelectromobilitytransportationsystems AT leesmichael symbioticsimulationforfutureelectromobilitytransportationsystems AT knollalois symbioticsimulationforfutureelectromobilitytransportationsystems |