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.

Publikationen

2012 ESAR - STANDARDIZED PRE-CRASH-SCENARIOS IN DIGITAL FORMAT ON THE BASIS OF THE VUFO SIMULATION

The sequence of accident events can be classified by three essential phases, the pre-crash-sequence, the crash-sequence and the post-crash-sequence. The level of reliability of the information in the GIDAS-database (German In Depth Accident Study) is provided predominantly on the passive side. The period to evaluate active safety systems begins already in the pre-crash-sequence. The assessment of the potential of sensor- or communication-based active safety systems can only be accomplished by a detailed analysis of the pre-crash-phase. Hence the necessity to analyze the early period of the accident event in detail arises.
This is possible with the help of the digital sketches of the accident site and the simulation of the accident by a simulation method of the VUFO GmbH.
After simulating the pre-crash scenario it is possible to generate additional and standardized data to describe the pre-crash-sequences of an accident in a very high detail. These data are documented in a second database called the GIDAS Pre-Crash-Matrix (PCM).
The PCM contains various tables with all relevant data to reproduce the pre-crash-sequence of traffic accidents from the GIDAS database until 5 seconds before the first collision. This includes parameters to describe the environment data, participant data and motion or dynamic data.
This paper explains the creation of the PCM, the simulation itself and the contents and structure of the PCM.
With this information of the pre-crash-sequence for various accident scenarios an improved benefit estimation and development of active safety systems can be made possible.

Angela_Schubert_Paper_ESAR_2012.pdf

 

details for downloading:

file type: PDF
added at: 14.06.2018 08:49
file size: 361.87 kB

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