Eco-Driving Assistance Systems for Commercial Vehicles

Xiaohai Lin, Daniel Görges, Sebastian Schöffel, Johannes Schwank, Pascal Stahl, Achim Ebert, Mohamed Selim, Didier Stricker

In: International Commercial Vehicle Technology Symposium. International Commercial Vehicle Technology Symposium (CVT-16) 4th March 8-10 Kaiserslautern Germany Springer 2016.


In this paper, a novel concept for eco-driving assistance systems for on-road and off-road commercial vehicles is addressed. Aiming at ensuring a trade-off among energy consumption, mission time and optionally driving comfort, an optimization problem is defined and an appropriate solution based on a vehicle model and an environment model is proposed. Furthermore, due to the crucial importance of the visualization and interaction, novel human-centered approaches are presented. The whole concept is evaluated in a lab environment.

SelimCVT2016.pdf (pdf, 10 MB)

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz