Text Mining Applied to Rail Accidents

Main Article Content

Nayana Kamerkar, Kamlesh Patil, Ankita Kale, Mrs. Nita Patil

Abstract

Indian Railway is the most popular way of transportation. So rail safety represents an important safety concern for transportation industry. In 6 years period between 2009-2010 and 2014-2015, there were a total of 803 accidents in Indian Railway killing 620 people and injuring 1855 people. 47% of these accidents were due to derailment of trains. To better understand the reason to these extreme accidents, Indian Railway has submitted reports that contain both fixed field and narratives that describe the characteristics of the accident. While a number of studies have looked at the fixed fields, none have done an extensive analysis of the narratives. It describes the use of text mining with a combination of techniques to automatically discover accident characteristics that can inform a better understanding of the contributors to the accidents. It will let the user know about of type of accident which can occur. The analysis can also be used for the safety improvement of Indian Railway.

Article Details

How to Cite
, N. K. K. P. A. K. M. N. P. (2018). Text Mining Applied to Rail Accidents. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(3), 383–386. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1326
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