A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS

June 2022
Vol-8, Issue-3
Paper ID: 17612
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Science and Engineering
Keywords
Traffic accidents Apriori algorithm factors urban roads causes of traffic accidents precautions to be taken.
Abstract
In this paper, we have examined the findings of studies on the elements that influence road accidents. As a result, it is a major worry for road safety departments as well as individuals. To find the factors that are closely associated to road accidents, road traffic data must be extensively evaluated. Factors such as the sort of collision, the road condition, the light effect, the weather, and the presence of a drunk driver must all be taken into account. Accidents are most common in locations near residential areas, zebra crossings, and school zones. It is required to mine the connection rules between significant risk factors from the statistics on these incidents in order to discover the major causes of these accidents. This work extends the Apriori or Elcat algorithm to mine the association rules between risk factors and probes deep into the causes of traffic accidents on urban roads, taking into account the numerous layers and dimensions of accident data. The findings of the study enable the traffic department to develop appropriate accident prevention measures and increase traffic safety on city streets.

Author Information

# Name Institute / Affiliation
1 Abhishek R Dalawai Vidyavardhaka College of Engineering, MYSURU
2 Ashish Kumar Mahto Vidyavardhaka College of Engineering, MYSURU
3 Dastageer Khan S Vidyavardhaka College of Engineering, MYSURU
4 Dr A B Rajendra Vidyavardhaka College of Engineering, MYSURU

How to Cite

Use the following formats to cite this article in your research.

APA Style
Dalawai, Abhishek R, Mahto, Ashish Kumar, S, Dastageer Khan, & Rajendra, Dr A B (2022). A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 5393-5399.
MLA Style
Dalawai, Abhishek R, et al. "A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 5393-5399.
IEEE Style
Abhishek R Dalawai, Ashish Kumar Mahto, Dastageer Khan S, and Dr A B Rajendra, "A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 5393-5399, 2022.
Vancouver Style
Dalawai Abhishek R, Mahto Ashish Kumar, S Dastageer Khan, Rajendra Dr A B. A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):5393-5399.
Harvard Style
Dalawai, Abhishek R, Mahto, Ashish Kumar, S, Dastageer Khan, & Rajendra, Dr A B (2022) 'A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 5393-5399.
Chicago Style
Dalawai, Abhishek R, et al. "A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5393-5399.
Turabian Style
Dalawai, Abhishek R, et al. "A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 5393-5399.

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