Analysis of Road Accident Locations Using DBSCAN Algorithm

Authors

  • Kavita Agrawal  Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
  • Vimala Manohara Ruth  Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
  • Nandini Y  Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India
  • Sravani K  Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India

Keywords:

Association Rule Mining, DBSCAN algorithm, Apriori Algorithm

Abstract

Road and traffic accidents are one of the important problems in India. However, as accidents are unpredictable and can occur in any type of situation, there is no guarantee that this trend will sustain in future also. Therefore, the identification of different geographical locations where most of the accidents have occurred and determining the various characteristics related to road accidents at these locations will help to understand the different circumstances of accident occurrence. In this paper we apply data mining algorithms on accident dataset as an attempt to address this problem. Association rules were discovered by Apriori algorithm, clusters containing accident prone areas were formed by DBSCAN Algorithm, an android application using fragments was developed to alert the user when he/she enters cluster regions i.e. accident prone areas (ARP) by sending user popup message.

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International Journal of Scientific Research in Science and Technology

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Published

2018-06-30

Issue

Volume 4, Issue 8, May-June-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Kavita Agrawal, Vimala Manohara Ruth, Nandini Y, Sravani K, " Analysis of Road Accident Locations Using DBSCAN Algorithm, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 8, pp.462-467, May-June-2018.