Accidents Vehicle Analyzer using Big Data |
Author(s): |
| Shipra Soni , Yagyavalkya Institute of Technology,Jaipur |
Keywords: |
| Traffic, Data Analysis, Hadoop, Map Reduce, HDFS |
Abstract |
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The aim of the work described in this paper is to obtain a greater understanding of the problem of the road accidents in developing countries like India by different vehicle types. Road accidents are serious problem and one of the crucial areas of research in India. A Road accident causes injuries, disabilities and even fatalities. The total number of fatal accidents as well as related fatality in the country is increasing over the years. To understand the cause, we need the traffic dataset to analyze it. The traffic accidents dataset are very large as the volume of traffic increasing day by day, it gets difficult to store, process and predict such huge sets of data using traditional software. Hadoop is one such framework which provides reliable cluster of storage facility, filtered traffic data can be fetched easily and can provide end user with traffic analysis and useful predictions. |
Other Details |
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Paper ID: IJSRDV5I80327 Published in: Volume : 5, Issue : 8 Publication Date: 01/11/2017 Page(s): 358-360 |
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