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Reduction of fuel consumption by early anticipation and assistance of deceleration phases

This work deals with the investigation of advanced driver assistance system (ADAS) which helps the driver to perform phases of deceleration in an efficient and safe manner. The concept of the assistance system is supported by early recognition of deceleration situations with the help of new sources of traffic information such as GPS based systems, car-to-car, and car-to-infrastructure communication. The system presents visual information to the drivers in order to enhance their anticipation. Together with the representation of emerging situation, the assistance suggests coasting a vehicle from the currently driven speed to the upcoming lower goal speed in order to reduce fuel consumption. If coasting does not suffice, the system will suggest moderate braking. It is left to the driver‟s consideration to accept the system‟s advice. The analysis of the estimated fuel consumption and the acceptance of the assistance system are done using situational, driving, visual, and subjective data which were collected during the experiment drives in the fixed-base simulator. Twenty six test subjects took part in the experiment; their average age was thirty four years. After a simulator training, they had to complete three experiment drives in the permuted order each lasting between seventeen and twenty minutes: one drive without any assistance (baseline condition), one with the innovative visual assistance using a bird‟s eye-view perspective on the emerging deceleration situation, and one with an iconic representation of it. Visual concepts are displayed in the digital instrument cluster. Each drive consists of thirteen deceleration situations which occur on rural, highway, and city roads. This work presents the results regarding the influence of the system on the driving behavior. The analysis data of two assisted drives are compared to the baseline condition. The results show the significant reduction of the estimated fuel consumption in particular situations (up to 50%) and in the entire drive (approximately on 4%). Maximum decelerations are significantly reduced in the investigated safety critical situation. The drivers are able to avoid collisions, which happened during baseline drives.

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Integration of a Component Based Driving Simulator and Design of Experiments on Multimodal Driver Assistance

Fully automated driving is a future goal of research currently performed in automotive industry. Therefore this thesis deals with driving support systems on different levels of automation. Fully integrated multimodal approaches for such driving systems aim at providing intuitive means for minimally distractive assistance for car drivers. In this thesis, the description of design and implementation of three concepts of driving support systems in the driving simulator is given. The driving support systems are based on three concepts. Every concept represents assistance on different level of driving automation. A non-automated concept is based on the principle of driving activity without an automation support provided to the driver. A semi-automation support system is represented by the concept of Active Cruise Control, in which driver performs a role of a system’s supervisor and delegates part of the driving tasks to the system. The third concept is the concept of Active Gas Pedal. In terms of this concept driver is offered support on behalf of the driving system, but still is required to perform tasks of driving personally. Also lateral and longitudinal visual assistance is incorporated into the implementation of the three described concepts. To test mentioned concepts, a fixed-base driving simulator was set up, the architecture of which is explained in this thesis as well. The set-up of the fixed-base driving simulator, its hardware components, corresponding interfacing software applications, and their networking are described. The software system architecture in the driving simulator is explained, and development process of the driving support systems is introduced. Also, needed implementation information is provided for further extensions of the software system. Finally the experimental design for the user study is described, so that the experiment only needs to get executed.

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