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THE STATISTICAL ANAL FREQUENCY DATA: NATIONAL HIGHWAY NO YSIS OF ACCIDENT A CASE STUDY OF 6 -

Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.8, No. 3)

Publication Date:

Authors : ; ; ;

Page : 441-456

Keywords : Accident Rates; Regressions Models; Negative-Binomial Distribution and Poisson distribution;

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Abstract

Road accidents in India have risen to it toll in the last few decades. Consequently researchers in various part of the world have settled on the discussion of traffic safety management factor. An accident model has to be developed to establish the factors that cause the accidents. Accident model aids in determining the real causative agents of the accidents being witnessed across the country. The research article develops two accident models which are to be applied in various roads based on the location of the roads in the country such as in rural and urban roads. The main model mainly used in both rural and urban areas include linear and binomial distribution models. The data generated by several researchers indicates that the accidents in urban areas are attributed to age, speed, and gender. On the other hand, the over speeding in rural roads has been noted the main cause of accidents (Ivan et al. Sumer 2003) [2, 12]. Vehicles, road conditions and human beings have an influence on the management of road safety. Investigation to establish the relationship between and the design of the roads has to be conducted. The main aim of the article is to establish the relationship between the accidents rates and the parameters employed in

Last modified: 2017-05-24 18:40:05