TY - GEN
T1 - Evaluation of driving behavior and the efficacy of a predictive eco-driving assistance system for heavy commercial vehicles in a driving simulator experiment
AU - Daun, Thomas J.
AU - Braun, Daniel G.
AU - Frank, Christopher
AU - Haug, Stephan
AU - Lienkamp, Markus
PY - 2013
Y1 - 2013
N2 - 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. The analysis of a linear mixed model (LMM) suggests that an instruction to drive economically could by itself yield savings of about 6.0 % without any kind of additional support. Using the EDAS reduces fuel consumption further by nearly 6.6 % and thus by as much as 12.2 % compared to normal driving. Additionally, the experiment provided support for the hypothesis that an EDAS can induce learning effects in drivers regarding economical driving.
AB - 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. The analysis of a linear mixed model (LMM) suggests that an instruction to drive economically could by itself yield savings of about 6.0 % without any kind of additional support. Using the EDAS reduces fuel consumption further by nearly 6.6 % and thus by as much as 12.2 % compared to normal driving. Additionally, the experiment provided support for the hypothesis that an EDAS can induce learning effects in drivers regarding economical driving.
UR - http://www.scopus.com/inward/record.url?scp=84894364284&partnerID=8YFLogxK
U2 - 10.1109/ITSC.2013.6728583
DO - 10.1109/ITSC.2013.6728583
M3 - Conference contribution
AN - SCOPUS:84894364284
SN - 9781479929146
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 2379
EP - 2386
BT - 2013 16th International IEEE Conference on Intelligent Transportation Systems
T2 - 2013 16th International IEEE Conference on Intelligent Transportation Systems: Intelligent Transportation Systems for All Modes, ITSC 2013
Y2 - 6 October 2013 through 9 October 2013
ER -