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.
Personalised assistance for fuel-efficient driving
2015
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Personalised assistance for fuel-efficient driving
Elsevier | 2015
|Personalised assistance for fuel-efficient driving
Online Contents | 2015
|Driver models for personalised driving assistance
Online Contents | 2015
|Driver models for personalised driving assistance
Taylor & Francis Verlag | 2015
|Driver models for personalised driving assistance
Kraftfahrwesen | 2015
|