Analysis of accident data for test scenario definition in the ASSESS project
Konferensbidrag (offentliggjort, men ej förlagsutgivet), 2010

The overall purpose of the ASSESS project is to develop a relevant and standardised set of test and assessment methods and associated tools for integrated vehicle safety systems, primarily focussing on currently available pre-crash sensing systems. The first stage of the project was to define casualty relevant accident scenarios so that the test scenarios will be developed based on accident scenarios which currently result in the greatest injury outcome, measured by a combination of casualty severity and casualty frequency. The first analysis stage was completed using data from a range of accident databases, including those which were nationally representative (STATS19, UK and STRADA, SE) and in-depth sources which provided more detailed parameters to characterise the accident scenarios (GIDAS, DE and OTS, UK). A common analysis method was developed in order to compare the data from these different sources, and while the data sets were not completely compatible, the majority of the data was aligned in such a way that allowed a useful comparison to be made. As the ASSESS project focuses on pre-crash sensing systems fitted to passenger cars, the data selected for the analysis was “injury accidents which involved at least one passenger car”. The accident data analysis yielded the following ranked list of most relevant accident scenarios: Rank Accident scenario 1 Driving accident - single vehicle loss of control 2 Accidents in longitudinal traffic (same and opposite directions) 3 Accidents with turning vehicle(s) or crossing paths in junctions 4 Accidents involving pedestrians The ranked list highlights the relatively large role played by ‘accidents in longitudinal traffic’, and ‘accidents with turning vehicle(s) or crossing paths in junctions’ (the second and third most prevalent accident scenarios, respectively). The pre-crash systems addressed in ASSESS propose to yield beneficial safety outcomes with specific regard to these accident scenarios. This indicates that the ASSESS project is highly relevant to the current casualty crash problem. In the second stage of the analysis a selection of these accident scenarios were analysed further to define the accident parameters at a more detailed level [7]. This paper describes the analysis approach and results from the first analysis stage.

test scenario

system assessment

Active safety

Författare

Helen Fagerlind

Chalmers, Tillämpad mekanik, Fordonssäkerhet

Ines Heinig

Chalmers, Tillämpad mekanik, Fordonssäkerhet

Matias Viström

Chalmers, Tillämpad mekanik, Fordonssäkerhet

Marcus Wisch

Lisa Sulzberger

Mike McCarthy

Wesley Hulshof

Mathieu Roynard

Swen Schaub

4:th International Conference ESAR - Expert Symposium on Accident Research, Hannover, Germany

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Ämneskategorier

Farkostteknik

Sannolikhetsteori och statistik

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Skapat

2017-10-06