An Overview of Data Mining in Road Traffic and Accident Analysis

Data mining is a promising area for dealing with the increased, stored data that has been generated in our times .It is the extraction of implicit, previously unknown and useful data. In this paper we have analyzed some of the data mining techniques, tools, applications and search engines for accident investigation and traffic analysis. Most of the accident investigation methodologies are based on scenarios of the accident occurrence and simulation of accident situation. The costs of fatalities and injuries due to traffic accident have a great impact on society. Engineers and researchers in the automobile industry have tried to design and build safer automobiles, but traffic accidents are unavoidable. In recent years, researchers have been utilizing real-life data in studying various aspects of traffic accidents. So measures have to be taken to reduce accidents. It is important that the measures should be based on scientific and objective surveys of the causes of accidents and severity of injuries. Our study highlights various tools, techniques and applications of data mining in accident analysis will eliminate deficiencies of other techniques but covers their advantages. Our main aim is to overcome the death rate and the increased rate of loss of lifes by means of using some tools, techniques or various algorithms in the field of data mining using the traffic data bases.