Data Mining Approach to Analyze the Road Accidents in India
DOI:
https://doi.org/10.26438/ijcse/v6i10.575579Keywords:
Road accidents, fatality, classification, clusteringAbstract
The accident is an unplanned incident which leads to injury to people, damage to a plant, machinery or some other loss. The goal of this paper is an analysis of road accidents at country level and statewide of India. The analysis shows that accidental fatalities and injuries changes according to age, gender, month and time. Analysis of road accidents plays an important role in the transportation system. Road traffic injuries and fatalities are common in nature it would be impractical to predict one-to-one relationship among the safety measures in road accidents, injuries, and fatalities. Road safety is an important concern for both national and international level. Data mining tools and techniques are used to predict accident-prone locations. For every four minutes, one death is occurred due to road mishap in India. The crucial thing is an analysis of road accident data is its heterogeneousness. The relationship between road surface conditions, road type, severity, light conditions, etc. are investigated.
References
[1] Lilting Li, Shared Shrestha, Gongzhu Hu “Analysis of Road Traffic Fatal Accidents Using Data Mining Techniques” 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).pp 363-3707-9 Sept. 2016.
[2] Prajakta S.Kabse, Apeksha Prajakta S. kasbe, Apeksha V. Sakhare “A review on road accident data analysis using data mining techniques” International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).March 2017.
[3] ANGAPREET KAUR, GEETIKA GANDHI, GOBINDGARH, INDIA”A FRAMEWORK FOR ANALYZING THE ROAD ACCIDENTS IN DATA MINING USING RULE MINING” INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN COMPUTER AND COMMUNICATION ENGINEERING, PP 6931-6939, APRIL 2017.
[4] Ayushi Jain1, Garima Ahuja2, Anuranjana3, Deepti Mehrotra” Data Mining Approach to Analyse the Road Accidents in India”,pp.175-179.
[5] K Jayasudha and C Chandrasekar. “An overview of data mining in road traffic and accident analysis”. Journal of Computer Applications, pp.32–37, 2009.
[6] Carlo Giacomo Prato, Victoria Gitelman and Shlomo Bekhor, “Mapping patterns ofpedestrian fatal accidents in Israel”,Accident Analysis and Prevention, pp. 54–62,Jan. 2012
[7] Svetlana Bačkalić, Boško Matović and Dragan Jovanović, “Identification of hotspots road locations of traffic accidents with pedestrian in urban areas”, International Co-operation on Theories and Concept in Traffic Safety, Dec. 2014
[8] Data available online 2017: https://datamillnorth.org/dataset/road-traffic-accidents
[9] Vikas Verma, Shaweta Bhardwaj and Harjit Singh,"A Hybrid K-Mean Clustering Algorithm for Prediction Analysis,”Indian Journal of Science and Technology,(july 2016),DOI:10.17485/ijst/2016/v9i28/98392,pp.0974-6846.
[10] Frantisek Babi, Karin Zuskaova, Liangzheng Xia, “Descriptive and Predictive Mining on Road Accidents Data,” IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI),2016,DOI: 10.1109/SAMI.2016.7422987, pp. 87-92.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
