期刊
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
卷 58, 期 -, 页码 681-705出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2015.02.007
关键词
Green driving; Driving assistance; Ubiquitous computing; Context-awareness; Context reasoning
资金
- Tekes, Data to Intelligence Program of DIGILE (Finnish Strategic Centre for Science, Technology and Innovation in the field of ICT and digital business)
Recent advances in technology are changing the way how everyday activities are performed. Technologies in the traffic domain provide diverse instruments of gathering and analysing data for more fuel-efficient, safe, and convenient travelling for both drivers and passengers. In this article, we propose a reference architecture for a context-aware driving assistant system. Moreover, we exemplify this architecture with a real prototype of a driving assistance system called Driving coach. This prototype collects, fuses and analyses diverse information, like digital map, weather, traffic situation, as well as vehicle information to provide drivers in-depth information regarding their previous trip along with personalised hints to improve their fuel-efficient driving in the future. The Driving coach system monitors its own performance, as well as driver feedback to correct itself to serve the driver more appropriately. (C) 2015 The Authors. Published by Elsevier Ltd.
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