Driving style recognition for intelligent vehicle control and advanced driver assistance: a survey
dc.contributor.author | Marina Martinez, Clara | |
dc.contributor.author | Heucke, Mira | |
dc.contributor.author | Wang, Fei-Yue | |
dc.contributor.author | Gao, Bo | |
dc.contributor.author | Cao, Dongpu | |
dc.date.accessioned | 2017-08-31T14:41:36Z | |
dc.date.available | 2017-08-31T14:41:36Z | |
dc.date.issued | 2017-07-04 | |
dc.description.abstract | Driver driving style plays an important role in vehicle energy management as well as driving safety. Furthermore, it is key for advance driver assistance systems development, toward increasing levels of vehicle automation. This fact has motivated numerous research and development efforts on driving style identification and classification. This paper provides a survey on driving style characterization and recognition revising a variety of algorithms, with particular emphasis on machine learning approaches based on current and future trends. Applications of driving style recognition to intelligent vehicle controls are also briefly discussed, including experts' predictions of the future development. | en_UK |
dc.identifier.citation | Clara Marina Martinez, Mira Heucke, Fei-Yue Wang, Bo Gao and Dongpu Cao. Driving style recognition for intelligent vehicle control and advanced driver assistance: a survey. IEEE Transactions on Intelligent Transportation Systems, Volume 19, Issue 3, March 2018, pp666-676 | en_UK |
dc.identifier.issn | 1524-9050 | |
dc.identifier.uri | 10.1109/TITS.2017.2706978 | |
dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/12422 | |
dc.language.iso | en | en_UK |
dc.publisher | IEEE | en_UK |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights | ©2017 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Driving style | en_UK |
dc.subject | Driving conditions | en_UK |
dc.subject | Driver behavior | en_UK |
dc.subject | Driving style recognition | en_UK |
dc.subject | Machine learning | en_UK |
dc.subject | Intelligent vehicle control | en_UK |
dc.subject | Energy efficiency | en_UK |
dc.subject | Driving safety | en_UK |
dc.title | Driving style recognition for intelligent vehicle control and advanced driver assistance: a survey | en_UK |
dc.type | Article | en_UK |
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