Abstract
In this article, we describe a new European Framework 7-funded research project, EcoGem, and introduce a new concept of experience sharing and intelligent optimization of route planning via machine-learning approaches. EcoGem combines machine-learning techniques with communication technologies to produce an advanced driver assistance system (ADAS), which has a range of novel functionalities, including: 1) automatic generation of code-based traffic indication to allow other EcoGem-enabled fully electric vehicles (FEVs) to share the experience for every section of route (journey) traveled, 2) automatic learning from the past and online experience to intelligently optimize route planning and energy consumption, and 3) automatic and instant update of the route planning and optimisation process via ongoing experience shared by EcoGem-eneabled FEVs.
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