Rajiv Gupta
Associate Professor, Civil Engineering Group,
Birla Institute of Technology and Science, Pilani (Raj.), India.
Deelesh Mandloi
Undergraduate student of Civil Engineering at Birla Institute of Technology and Science, Pilani (Raj.), India.
Introduction
It has been estimated that over 300,000 persons die and 10-15 million persons are injured every single year in road accidents throughout the world. DetaiLED analyses of global accident statistics indicate that fatality rates per licensed vehicle in developing countries are very high in comparison with the industrialized countries. Moreover, road accidents have been shown to cost around 1% of annual gross national product (GNP) resources of the developing countries, which they can ill-afford to lose. Hence it is necessary to incorporate steps, which can reduce road accident rates and implement mitigating actions, which can be taken to reduce the number and severity of road accidents. (Baguley et al, 1994)
Various road safety strategies and countermeasures have been used at different stages of network development. This method of seeking to prevent road accidents mainly involves conscious planning, design and operations of roads. One of the most important factors in this method is the systematic identification and treatment of hazardous locations. The main objective of the study presented in this paper is to develop a model necessary to identify these hazardous locations on roads commonly termed as black spots. In general, the various factors that cause accidents can be broadly categorized into road related, vehicle related and driver related. In this paper, an attempt is made to implemen
