Overview of recent academic and general publications by VUFO

As a research institute and development service provider, VUFO regularly publishes not only academic and specialist publications but also contributions to the press and television. These publications can be viewed as PDF files and downloaded for private use.


2012 ESAR - Calculation of an applicable friction coefficient for the reconstruction of traffic accidents with the aid of measured roughness on the spot and the GIDAS-database

The GIDAS-investigation team of Dresden (VUFO) has documented more than
11.500 accidents since 1999. The documentation of the accident includes beside
vehicle-, injury- and environmental-data very detailed reconstruction data. Within this
accident investigation the VUFO began to record the skid resistance of the accident
site in 2009. The measurements are divided in macro- and microroughness (Sand
depth method and Portable Skid Resistance Tester-SRT-by Munro-Stanley
London©). Both methods are used to determine the skid resistance for more than
1000 passenger cars.
The aim of the present study is to find out a relationship between the measured skid
resistance, the road conditions and the friction coefficient, which is used to calculate
the maximum accelerations and decelerations during a reconstruction of an accident.
Basic approach to convert the SRT-value into the friction coefficient is the calculation
of the theoretical absorbed energy of the spring rubber system of the swinging arm of
lever. This absorbed energy is used to get the friction coefficient by using the
equations for the work of friction.
To consider the road-behavior, in correlation to the friction coefficient, the results will
be merged with existing literature.
Last step for this study will be a comparison between actual used friction coefficients
all over the GIDAS-database and the theoretical results.
The study shows, if it is possible to use the SRT-Measurement for the estimation of a
friction coefficient for the reconstruction of a traffic accident. As expected, the
GIDAS-Database and the additional measurement of the roughness of the road
directly on the spot are an enormous useful dataset.



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file type: PDF
added at: 14.06.2018 08:49
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