NDLI: Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm

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Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm

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Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm

Content Provider	ACM Digital Library
Author	Carter, Emma Neal-Sturgess, Clive Ebdon, Steve
Abstract	The problem of pedestrian injury is a significant one throughout the world. In 2001, there were 4724 pedestrian fatalities in Europe and 4882 in the US. Significant advances have been made by automotive safety researchers and vehicle manufacturers to address this issue with respect to the design of vehicles, but the complex nature of pedestrian accident scenarios has resulted in great difficulty when using traditional statistical methods. Specifically, problems have been encountered when attempting to study the effects of individual parameters of vehicle front-end geometry on pedestrian head injury. This paper attempts to demonstrate the feasibility of applying the field of evolutionary computation to the problem of pedestrian safety by using a simple genetic algorithm to optimize the centre-line geometry of a car's front-end for the reduction of pedestrian head and thoracic injury. The fitness of each design is assessed by creating a multi-body mathematical model of the vehicle front and simulating impacts with models of different sized pedestrians, and ranking according to the combined injury scores.
Starting Page	2113
Ending Page	2120
Page Count	8
File Format	PDF
ISBN	1595930108
DOI	10.1145/1068009.1068358
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-06-25
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Genetic algorithm Safety Vehicle design Optimization
Content Type	Text
Resource Type	Article

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