Abstract
Traffic accidents are serious issues, which can possibly cause disabilities, injuries and even fatalities. In order to decrease the number of accidents, we need understand and analyze the traffic accidents dataset. Almost every day, someone has sufferes from traffic accidents in one way or another, such as the traffic being slowed down due to an accident or collision in the same road, which may leave one or more lanes unavailable. Big Data ecosystem has the ability to store, manipulate, analyse, and mine large traffic accident datasets and can drive knowledge creation that can help decision makers to reduce the number of accidents. Massive real traffic datasets from New York's traffic collisions dataset is used as source of data for the developed application. The developed application consists of several functions and web services to analyze and visualize the major traffic accident information. The developed application stores the massive traffic data on Hadoop with a parallel computing framework for diverse and mine based Map-Reduce technique, which then uses Web services interface to support developed mining application.