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Titel:

Evaluation of Driving-behavior and the Efficacy of a Predictive Eco-Driving Assistance System for Heavy Commercial Vehicles in a Driving Simulator Experiment

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Daun, Thomas J.; Daniel G. Braun, Christopher Frank, Stephan Haug, Markus Lienkamp
Seitenangaben Beitrag:
2379 - 2386
Abstract:
Driving style is a key factor when it comes to real-world fuel economy. Advanced driver assistance systems (ADAS) hold the potential to support drivers in reducing fuel consumption. In this regard, predictive analysis of the road profile is a highly promising approach. This paper describes the methodology and results of a driving simulator experiment evaluating the efficacy of such a predictive eco-driving assistance system (EDAS). Furthermore, behavioral aspects are another object of the study....     »
Stichworte:
FTM Fahrerassistenz
Kongress- / Buchtitel:
16th International IEEE Conference on Intelligent Transportation Systems ITSC
Jahr:
2013
Nachgewiesen in:
Scopus
Volltext / DOI:
doi:10.1109/ITSC.2013.6728583
TUM Einrichtung:
Lehrstuhl für Fahrzeugtechnik
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