Evaluation of driving behavior and the efficacy of a predictive eco-driving assistance system for heavy commercial vehicles in a driving simulator experiment

The Virtual Driving Coach - design and preliminary testing of a predictive eco-driving assistance system for heavy-duty vehicles

“…This can be shown by means of an independent-samples t-test (t(6.2) = 4.019, p=0.007). Table 5 contains the results of the original model fitting of the linear mixed model (LMM) [11] as well as two refittings regarding the predictor System Experience. When replacing System Experience by SAS scores, model quality is improved (as AICc becomes smaller).…”

“…Analyzing the estimations of the fixed-effect β, the original model assesses the learning effect due to System Experience a fuel consumption reduction of −1.04 L/ 100 km or −2.53 % compared to a run without EDAS (run 2) [11]. Using the SAS scores as predictor suggest an average fuel consumption reduction of 1.21·(−0.90) L/100 km=−1.09 L/100 km or −2.67 % for those subjects answering with Byes^on the judgment of learning and an increase of 0.4 L/100 km (0.97 %) for the subjects answering in the negative.…”

“…First, we introduce the procedure and results of a real-world field test. Afterwards, we describe the methods and results of surveys which were conducted during a driving simulator experiment [11].…”

“…The methods of the experiment and the results of the objective measures are reported in detail by Daun et al [11].…”

“…The EDAS's evaluation was done by means of extensive field testing and a driving simulator experiment. The methods of the driving simulator experiment and the results of the objective measures have been reported by Daun et al in [11]. As the results of the questionnaires have not been reported so far, we present the according results with regard to the self-reported evaluation of user acceptance, system safety and judgment of learning.…”