Citation

Kiran BN, Kumaraswamy N, Sashidhar C. Am. J. Traffic Transp. Eng. 2017; 2(2): e10.

Copyright

(Copyright © 2017, Science Publishing Group)

DOI

10.11648/j.ajtte.20170202.11

PMID

unavailable

Abstract

Road Crash losses have been on an growing trend for the preceding decade or so in India. consequently traffic safety organization has emerged as a topic of argument for researchers all over the world. For this reason Crash modeling on different factors causing them has to be conducted. Crash modelling helps to anybody to recognize the real causative agents behind an accident to occur. The effect of one cause can be greater than the other. And those causes can only be known from Crash modelling. In this paper it is tried try to divide this Crash modelling techniques into different categories based on the road geometrics characteristics, traffic characteristics and Environmental factors on urban roads and on rural roads of different developed countries. In both urban and rural road crash studies it can be seen that for the most part regression techniques like linear, multi-linear, logit and poisons regression were used for modelling the road crashes. It was also noticeable that frequently authors have tried to research on one reason and go profound into it to a certain extent considering all factors at a time. From the study of different researches the attention was paid to the safety effects of road environment such as traffic flow, lane width, number of accesses, speed and road connectors. In this paper it is tried to review as much papers as possible and various gaps in research along with future possibility of study in this area has been indicated. Starting from the basic models like Simple/Multiple regression model to the logistic and linear regressions to the new modeling techniques involving Negative Binomial/Zero inflated modelling, genetic mining and fuzzy logics have been discussed in the paper.

Language: en