A REAL TIME APPLICATION TO REDUCE TRAFFIC ACCIDENTS
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.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
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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