ETH Zurich :
Computer Science :
Pervasive Computing :
Distributed Systems :
Education :
Student Projects :
Abstract
Trip Optimization Recommendations for Drivers (B)Status: Abgeschlossen
Our group has recently started to cooperate with CloudThink, an online plat-
form that enables car owners to confidentially share their vehicle data across
multiple applications, to improve the transportation experience for all stake-
holders (e.g., governments, individuals, car manufacturers) as well as potentially
monetize their generated data. The goal of this project is to make use of this
data (currently, we have access to live data streams from 12 cars) and implement
a data analysis platform that can output real-time recommendations of how a
driver should adapt his behavior to lower fuel consumption.
Tools / Languages: Mostly Java, Matlab. Probably Android for a front-end
Student/Bearbeitet von: Adrian Wicki Contact/Ansprechpartner: Simon Mayer
|