Road accident analysis factors

The problem of road accident is increasing in developing countries. A matter of research has been and is being committed to this topic, as a search of past and current research shows. Road accidents in developing countries have progressed over the last ten years. This could be because of increasing...

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Main Author: Esmaeeli, Hamed
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.utm.my/id/eprint/11157/4/HamedEsmaeeliMFKA2010.pdf
http://eprints.utm.my/id/eprint/11157/
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Institution: Universiti Teknologi Malaysia
Language: English
id my.utm.11157
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spelling my.utm.111572017-09-27T04:05:40Z http://eprints.utm.my/id/eprint/11157/ Road accident analysis factors Esmaeeli, Hamed HE Transportation and Communications TE Highway engineering. Roads and pavements The problem of road accident is increasing in developing countries. A matter of research has been and is being committed to this topic, as a search of past and current research shows. Road accidents in developing countries have progressed over the last ten years. This could be because of increasing vehicle occupancy over time or to the fact that a particular type of accident is much more common now than was the case ten years ago. For instance commercial vehicles are currently used to transport workers to and from their places of their work. When such a vehicle is involved in an accident, large numbers of mortalities often occur. This report investigates the modelling and implementation of a coordination system within a simulation environment to foresee future accident rate. The approach of analysis used must be correspondingly robust and objective to evaluate accident rate. To comparing changes in car ownership, we hope to use these data to investigate the factors behind these changes. Some examples are the effect of income, changes in employment, changing household structure and changes in residential and work location. They should not be too sensitive to departures from model assumptions or the presence of a substantial number of outliers. Given the polluted nature of the data, ordinary least squares regression is not suitable, therefore, robust regression techniques are recommended. 2010-04 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/11157/4/HamedEsmaeeliMFKA2010.pdf Esmaeeli, Hamed (2010) Road accident analysis factors. Masters thesis, Universiti Teknologi Malaysia, Faculty of Civil Engineering.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic HE Transportation and Communications
TE Highway engineering. Roads and pavements
spellingShingle HE Transportation and Communications
TE Highway engineering. Roads and pavements
Esmaeeli, Hamed
Road accident analysis factors
description The problem of road accident is increasing in developing countries. A matter of research has been and is being committed to this topic, as a search of past and current research shows. Road accidents in developing countries have progressed over the last ten years. This could be because of increasing vehicle occupancy over time or to the fact that a particular type of accident is much more common now than was the case ten years ago. For instance commercial vehicles are currently used to transport workers to and from their places of their work. When such a vehicle is involved in an accident, large numbers of mortalities often occur. This report investigates the modelling and implementation of a coordination system within a simulation environment to foresee future accident rate. The approach of analysis used must be correspondingly robust and objective to evaluate accident rate. To comparing changes in car ownership, we hope to use these data to investigate the factors behind these changes. Some examples are the effect of income, changes in employment, changing household structure and changes in residential and work location. They should not be too sensitive to departures from model assumptions or the presence of a substantial number of outliers. Given the polluted nature of the data, ordinary least squares regression is not suitable, therefore, robust regression techniques are recommended.
format Thesis
author Esmaeeli, Hamed
author_facet Esmaeeli, Hamed
author_sort Esmaeeli, Hamed
title Road accident analysis factors
title_short Road accident analysis factors
title_full Road accident analysis factors
title_fullStr Road accident analysis factors
title_full_unstemmed Road accident analysis factors
title_sort road accident analysis factors
publishDate 2010
url http://eprints.utm.my/id/eprint/11157/4/HamedEsmaeeliMFKA2010.pdf
http://eprints.utm.my/id/eprint/11157/
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