Reibwertprognose als Assistenzsystem. [Friction estimation as an advanced driver assistance system.] Bericht zum Forschungsprojekt 82.0691 der Bundesanstalt für Strassenwesen BASt.

Author(s)
Leschik, C. Sieron, N. Gregull, V. Müller, G. Trapp, A. Brandenburg, S. Haalman, D. & Terpstra, E.
Year
Abstract

The estimation of the friction potential is of great importance for driving dynamics. On board systems as well as the driver himself can benefit from reliable information on the current grip level significantly. As part of a comprehensive volunteer study, it was examined whether information about the current coefficient of friction influences the driving style and possibly results in a safety benefit. The results of this study show that those drivers who have a friction information adjust their driving speed and the distance to the vehicle in front significantly better to moist and wet road conditions, as the drivers without such information. In addition, a mathematical model, based on previous research work, has been developed, which improves the estimation of the coefficient of friction. Attempts were made to take local effects such as vegetation and roadside buildings as well as bridges and tunnels into account. The results of these calculations show that a relatively high accuracy in the friction coefficient estimation can be achieved. Furthermore, the influence of shadow caused by trees on the one hand and the heat emission caused by buildings on the other hand was investigated in detail. These effects directly influence the coefficient of friction. (Author/publisher)

Publication

Library number
20210401 ST [electronic version only]
Source

Bergisch Gladbach, Bundesanstalt für Strassenwesen BASt, 2021, 56 p., ref.; Berichte der Bundesanstalt für Strassenwesen : Fahrzeugtechnik ; Heft F 140 - ISSN 0943-9307 / ISBN 978-3-95606-587-3

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