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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9344

Title: A statistical analysis of visual detection failures for active safety function evaluation
Authors: Atalar, Deniz
Thomas, Pete
Hill, Julian
Keywords: Accident causation
Driver perception
Active safety systems
Vehicle design
Issue Date: 2010
Publisher: UMTIK
Citation: ATALAR, D. ... et al., 2010. A statistical analysis of visual detection failures for active safety function evaluation. 14th International Conference on Machine Design and Production, UMTIK 2010 29 June - 2 July, Güzelyhurt, Turkish Republic of Northern Cyprus
Abstract: The objective of this study is to understand the visual detection failure sequences that result in traffic accidents. An accident causation analysis was used to interpret and group causal factors for 5 distinct detection failure types that caused traffic accidents. Principal component analysis was used to interpret in-depth, on spot, accident causation data. Several scenarios were identified describing combinations of context, contributory and precipitating accident risk factors. These scenarios are discussed with regards to the functionality active safety technologies and automotive systems designs with special emphasis on the driver’s needs, the safety functions needed to fulfil these needs and contextual constraints.
Description: This is a conference paper presented at UMTIK 2010: http://www.me.metu.edu.tr/umtik/2010/
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/9344
Appears in Collections:Conference Papers and Contributions (Design School)

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