A REVIEW ON ROAD ACCIDENT DETECTION USING DATA MINING TECHNIQUES
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D. T. Akomolafe and A. Olutayo, “Using Data Mining Technique to Predict Cause of Accident and Accident Prone Locations on Highways”, American Journal of Database Theory and Application, vol. 1, no. 3, 2012, pp. 26-38.
B. Khatri and H. Patidar, “Road Traffic Accidents with Data Mining Techniques”, International Journal of Information Engineering and Technology (IJIET), vol. 2, no. 1, 2016, pp. 1-6.
S. Kumar and D. Toshniwal, “A data mining approach to characterize road accident locations”, Journal of Modern Transportation, vol. 24, no. 1, 2016, pp. 62-72.
Z. Zhang, Q. He, J. Gao, and M. Ni, “A deep learning approach for detecting traffic accidents from social media data” Transportation Research Part C: Emerging Technologies, vol. 86, 2018, pp. 580-596.
G. Karur and G. Gandhi, “A framework for analyzing the road accidents in Data Mining using Rule Mining”, International Journal of Innovative Research in Computer Science and Communication Engineering, vol. 5, no. 4, 2017, pp. 6931-6939.
S. Krishnaveni and M. Hemalatha, “A perspective analysis of traffic accident using data mining techniques”, International Journal of Computer Applications, vol. 23, no. 7, 2011, pp. 40-48.
M. Ozbayoglu, G. Kucukayan, and E. Dogdu, “A real-time autonomous highway accident detection model based on big data processing and computational intelligence”, Big Data (Big Data), 2016 IEEE International Conference on IEEE, 2016, pp. 1807-1813.
S. Shanthi and R. G. Ramani, “Classification of vehicle collision patterns in road accidents using data mining algorithms”, International Journal of Computer Applications, vol. 35, no. 12, 2011, pp. 30-37.
E. A. Mohamed, “Predicting Causes of Traffic Road Accidents Using Multi-class Support Vector Machines”, In Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2014, pp. 441-447.
S. An, T. Zhang, X. Zhang, and J. Wang, “Unrecorded accidents detection on highways based on temporal data mining” Mathematical Problems in Engineering, 2014.
B. Atnafu and G. Kaur, “Analysis and predict the nature of road traffic accident using data mining techniques in Maharashtra India”, International Journal of Engineering Technology Science and Research (IJETSR), vol. 4, no. 10, 2017, pp. 1153-1162.
V. A. Olutayo and A. A. Eludire, “Traffic accident analysis using decision trees and neural networks”, International Journal of Information Technology and Computer Science, vol. 2, 2014, pp. 22-28.
S. Kumar and D. Toshniwal, “A data mining framework to analyze road accident data” Journal of Big Data, vol. 2, no. 1, 2015, pp. 1-18.
A. Jain, G. Ahuja, and D. Mehrotra, “Data mining approach to analyse the road accidents in India”, In Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), 2016 5th International Conference on IEEE, 2016, pp. 175-179.
V. Ravindran, L. Viswanathan, and S. Rangaswamy, “A Novel Approach to Automatic Road-Accident Detection using Machine Vision Techniques”, International Journal Of Advanced Computer Science And Applications, vol. 7, no. 11, 2016, pp. 235-242.
DOI: https://doi.org/10.26483/ijarcs.v9i2.5708
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