Authors: Thomas Weber; Dieter Schramm
Addresses: Department of Mechanical Engineering, University of Duisburg-Essen, 47048 Duisburg, Germany ' Department of Mechanical Engineering, University of Duisburg-Essen, 47048 Duisburg, Germany
Abstract: One of the major research and development efforts in the automotive industry worldwide is the introduction of highly automated driving functions. Due to the high level of complexity, suppliers and manufacturers often wonder whether and to what extent the potential or the effectiveness of newly developed systems can already be estimated a priori in terms of the different requirements in order to make the development process more targeted and thus timelier and also more cost-efficient. In the context of a current research project, that is developing a sensor system for the detection of the road surface condition, it shall be investigated how such a system can be used to improve high-level driving functions. In this paper, as an example to this end, the algorithm of a state-of-the-art adaptive cruise control (ACC) is first extended by a friction coefficient awareness and then tested and examined based on simulations within a complex vehicle model. Subsequently, the system is implemented in a traffic flow simulation and analysed for its impact on road safety via the analysis of corresponding parameters.
Keywords: adaptive cruise control; ACC; advanced driver assistance systems; ADAS; highly automated driving; traffic simulation; simulation-based assessment.
International Journal of Advanced Mechatronic Systems, 2020 Vol.8 No.4, pp.166 - 176
Received: 27 Aug 2019
Accepted: 05 Sep 2020
Published online: 12 Jan 2021 *