Methods to Prevent or Mitigate Accidents with Large Animals View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Wolfgang Sinz , Heinz Hoschopf , Stefan Kirschbichler , Ernst Tomasch , Hermann Steffan , Saied Mohamed H. Darwish , Motaz Almodimigh

ABSTRACT

Although accidents with animals represent a small portion in the official statistics, these accidents have an economic effect. The regulatory costs in Germany added up to an average of 370–464 million Euros annually in the years between 2000 and 2005. The insurance companies registered between 210,000 and 235,000 deer accidents on average every year. The largest part of the data collected by the insurance companies is accidents with damage to property. But accidents with large animals are a danger to vehicle occupants. German statistics for accidents with animals for this period show between 18 and 28 fatally injured persons and between 580 and 750 severely injured and 2,100–2,600 light casualties every year. Accidents that are caused by evasive maneuvers causing running-off track and finally colliding with the infrastructure or causing a cross-over collision have not been taken into account. The aim of this investigation is to evaluate typical accident scenarios and accident simulation with large animals. In particular, the effects on the vehicle occupants are investigated by multi-body simulation methods. The occupant load for accidents with animals is determined and influencing factors on the load are derived. Based on these investigations, avoidability scenarios are developed and methods are introduced that are relevant to the vehicle (active and passive safety) and also to the infrastructure and the driver. The objective is to develop effective counteractions in order to avoid accidents with animals or at least mitigate the accident aftermath. More... »

PAGES

69-97

References to SciGraph publications

Book

TITLE

Characterization and Development of Biosystems and Biomaterials

ISBN

978-3-642-31469-8
978-3-642-31470-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-31470-4_5

DOI

http://dx.doi.org/10.1007/978-3-642-31470-4_5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042672163


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