Traffic improvisation by identifying the accident locations using ML/Data mining approaches-Reference-Cited by-同舟云学术

Traffic improvisation by identifying the accident locations using ML/Data mining approaches

Published:2022-12-16 Issue: Volume: Page:
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Container-title:2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
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Author:

Goswami Nitish Giri¹,Sharma Pranav¹,Arora Aditi¹,Singh Nidhi¹

Affiliation:

1. Abes Engineering College,Department of Computer Science,Ghaziabad,U.P.,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10073967/10073974/10074527.pdf?arnumber=10074527

Reference15 articles.

1. Feature relevance analysis and classification of road traffic accident data through data mining techniques;shanthi;Proceedings of the World Congress on Engineering and Computer Science,2012

2. Prediction of road accidents severity using various algorithms;ramachandiran;International Journal of Pure and Applied Mathematics,2018

3. Road Accident Analysis in Kerala and Location Based Severity Level Classification Using Decision Tree Algorithm;devaraj;Paid J,2021

4. A Review on Injury Severity in Traffic System using Various Data Mining Techniques

5. A comparative study of classification algorithm using accident data;priyanka;International Journal of Computer Science & Engineering Technology (IJCSET),2014

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