Statistical Analysis of Road Accident Data of UK Using Operational Intelligence Tool - Splunk

Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1192)


In general, people believe speeding and alcoholism are the two main considerations that impacts on road accidents. We suspected that it would wise to investigate the impact information to guarantee the rightness of this conclusion and furthermore to get additional data like, which zones are prone to accidents, at what time most accident occurs, what were the road conditions, and so on. These encounters can perhaps make general populace aware of the explanations behind accidents made by impacts. To break down in million records, we embraced Splunk for speedier handling of this enormous information and analytics. In this paper, we are showing certainties based on data and analytics which lead to conclusions like the rate of accidents increased or diminished in between 2005 and 2014 in UK. Pushing forward in our exploration, we tended to complex investigation like areas in UK more inclined to accidents and severity of accidents occurred.


Accident data Big data Geo-spatial analysis Splunk 


  1. 1.
    Splunk. Accessed 4 Sept 2019
  2. 2.
  3. 3.
  4. 4.
    Intelligent Transportation Systems - Next Wave of the Connected Car.
  5. 5.
  6. 6.
  7. 7.
    Beshah, T., Ejigu, D., Abraham, A., Snasel, V., Kromer, P.: Pattern recognition and knowledge discovery from road traffic accident data in Ethiopia: implications for improving road safety. In: 2011 World Congress on Information and Communication Technologies (WICT), pp. 1241–1246 (2011)Google Scholar
  8. 8.
    Yan, Z. Wang, X., Du, L.: Design method of highway traffic safety analysis model. In: 2011 IEEE International Conference on Transportation, Mechanical and Electrical Engineering (TMEE) (2012).
  9. 9.
    Ramani, R.G., Shanthi, S.: Classifier prediction evaluation in modeling road traffic accident data. In: 2012 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1–4 (2012)Google Scholar
  10. 10.
    Machine Learning - Brilliant Math Science Wiki.

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.NIT AgartalaAgartalaIndia

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