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Road accident analysis factors

A large number of fatalities on road are occurred by vehicle accident. One of most significant causes of accident on road is increasing car ownership in last decade. The study is conducted to determine a relationship between car ownership and accident rate. The most effective parameters on increasin...

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Main Authors: Esmaeeli, H., Abbaszadehfallah, I., Chepuan, O. B., Hosseini, S. H.
Format: Conference or Workshop Item
Published: 2013
Subjects:
HE Transportation and Communications
Online Access:http://eprints.utm.my/id/eprint/51288/
http://dx.doi.org/10.4028/www.scientific.net/AMM.253-255.1741
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spelling my.utm.512882017-09-18T00:49:48Z http://eprints.utm.my/id/eprint/51288/ Road accident analysis factors Esmaeeli, H. Abbaszadehfallah, I. Chepuan, O. B. Hosseini, S. H. HE Transportation and Communications A large number of fatalities on road are occurred by vehicle accident. One of most significant causes of accident on road is increasing car ownership in last decade. The study is conducted to determine a relationship between car ownership and accident rate. The most effective parameters on increasing accident rate in developed countries are studied. This paper investigates a model that forecast the rate of accident on based on previous collected car ownership data. Meanwhile, those parameters can change the rate of car ownership such as income, distance between residential area and work zone, the number of employee over family size and registered car over employee are studied. The study is conducted on based on Australia data and Robust- regression techniques are used to analyse the data. The result shows robust regression reached the most effective coefficient to reduce fatalities on road. 2013 Conference or Workshop Item PeerReviewed Esmaeeli, H. and Abbaszadehfallah, I. and Chepuan, O. B. and Hosseini, S. H. (2013) Road accident analysis factors. In: Applied Mechanics And Materials. http://dx.doi.org/10.4028/www.scientific.net/AMM.253-255.1741
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/
topic HE Transportation and Communications
spellingShingle HE Transportation and Communications
Esmaeeli, H.
Abbaszadehfallah, I.
Chepuan, O. B.
Hosseini, S. H.
Road accident analysis factors
description A large number of fatalities on road are occurred by vehicle accident. One of most significant causes of accident on road is increasing car ownership in last decade. The study is conducted to determine a relationship between car ownership and accident rate. The most effective parameters on increasing accident rate in developed countries are studied. This paper investigates a model that forecast the rate of accident on based on previous collected car ownership data. Meanwhile, those parameters can change the rate of car ownership such as income, distance between residential area and work zone, the number of employee over family size and registered car over employee are studied. The study is conducted on based on Australia data and Robust- regression techniques are used to analyse the data. The result shows robust regression reached the most effective coefficient to reduce fatalities on road.
format Conference or Workshop Item
author Esmaeeli, H.
Abbaszadehfallah, I.
Chepuan, O. B.
Hosseini, S. H.
author_facet Esmaeeli, H.
Abbaszadehfallah, I.
Chepuan, O. B.
Hosseini, S. H.
author_sort Esmaeeli, H.
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 2013
url http://eprints.utm.my/id/eprint/51288/
http://dx.doi.org/10.4028/www.scientific.net/AMM.253-255.1741
_version_ 1643652995498377216
score 13.211869

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