Study of potential crash events for a future urban electric vehicle on the basis of real crash data
Lars Hannawald, Henrik Liers
Abstract
Lars Hannawald, Henrik Liers
Abstract
All-electric cars are still fairly rare on our roads. For that reason, there is not yet any reliable information on actual accidents in which they are involved. In order to nevertheless make a statement on potential accidents involving these vehicles, the Gidas database with records of more than 22,000 accidents was used to extract all those vehicles with a usage spectrum and characteristics that come closest to representing a future electric vehicle. Numerous accident parameters of the potential electric vehicles were then compared with those of conventional M1 vehicles. Language: de
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All-electric cars are still fairly rare on our roads. For that reason, there is not yet any reliable information on actual accidents in which they are involved. In order to nevertheless make a statement on potential accidents involving these vehicles, the Gidas database with records of more than 22,000 accidents was used to extract all those vehicles with a usage spectrum and characteristics that come closest to representing a future electric vehicle. Numerous accident parameters of the potential electric vehicles were then compared with those of conventional M1 vehicles. Language: de
Key concepts: Crash, Transport engineering, Engineering, Computer science, Computer security, Forensic engineering, Programming language