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A methodology on the automatic recognition of poor lane keeping

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Gunay, Banihan (2008) A methodology on the automatic recognition of poor lane keeping. JOURNAL OF ADVANCED TRANSPORTATION, 42 (2). pp. 129-149. [Journal article]

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URL: http://www.ingentaconnect.com/content/ift/joat/2008/00000042/00000002/art00002

Abstract

Driving disorder, such as having difficulty in staying in the lane, abrupt lane changes and driving on the shoulder are typical consequences of many dangerous driving circumstances, and can be grouped under the heading of ``lateral discipline of driving''. Recognition of these situations is largely observational and spotted/examined by police at high costs. The work provides a theoretical description of an automatic detection system to recognise irregular lateral vehicle movements resulted by various forms of dangerous driving. It is based on establishing certain threshold values for normal driving (lateral) patterns and by checking given traffic instances against these criteria. The system described is thought to offer substantial time and money savings to the responsible authorities, after having applied and validated the system in practice as part of ongoing research.

Item Type:Journal article
Faculties and Schools:Faculty of Art, Design and the Built Environment
Faculty of Art, Design and the Built Environment > School of the Built Environment
Research Institutes and Groups:Built Environment Research Institute
Built Environment Research Institute > Centre for Research on Property and Planning (RPP)
ID Code:3641
Deposited By:Dr Banihan Gunay
Deposited On:16 Dec 2009 15:57
Last Modified:21 Feb 2014 11:35

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