Poster Presentation

M.Sc. Darya Popiv, Institute of Ergonomics, Technical University Munich, Germany
Dipl.-Ing. Mariana Rakic, BMW Group Forschung und Technik, Germany
Dipl.-Ing. Markus Duschl, Institute of Augmented Reality, Technische Universität München, Germany
Dipl.-Ing. Florian Laquai, Chair of Men-Machine Communictaion, Technische Universität München, Germany
Univ.-Prof. Dr. Phil. Klaus Bengler, Institute of Ergonomics, Technische Universität München, Germany

This paper presents the investigation of advanced driver assistance system (ADAS) which supports the driver in performing phases of deceleration in an efficient manner. The concept of the assistance system, named Smart Deceleration, is based on early anticipation of deceleration situations with the help of new sources of traffic information such as GPS based systems, vehicle to vehicle, and vehicle to infrastructure communication. The system presents visual information to the driver such as the suggestion to coast a vehicle from the currently driven speed to the upcoming lower target speed in order to reduce fuel consumption. If coasting is no longer possible, the system suggests moderate braking. If and when to accept the system's advice, and with which strength to brake when necessary, is left for the driver to decide. The analysis of the resulting fuel reduction and the acceptance of the system during its activation are performed based on the situational, driving, visual, and subjective data which were collected during the experimental drives in the static simulator. In the first experiment 18 women and 18 men took part, their age ranged from 21 to 55 years. After a simulator training, all participants had to complete 3 permuted experimental trips each lasting approximately between 15 and 17 minutes: one baseline drive without any assistance, one with the innovative visual assistance with a bird's eye-view perspective on the upcoming deceleration situation and proposed action, and one with an iconic representation of it. Visual concepts were displayed in the digital instrument panel. Each drive consisted of 13 deceleration situations, which occurred on rural, highway, and city roads. To avoid the driver's recognition of the upcoming situation, the simulated surrounding and the order of the situations were changed for each drive. The analysis data of two assisted drives of the first experiment were afterwards compared to the baseline drive in order to estimate the influence of the system on driving behavior. The preliminary results show the significant reduction of fuel consumption in particular situations (up to 50%), and overall reduction in average fuel consumption of approximately 6% throughout the entire drive. In most of the investigated situations, also maximum decelerations were significantly reduced, on average up to 20-30% compared to the unassisted drives.

This abstract is supplemented by a PDF, which can be viewed here.

Session: Consumption and Emission Reduction