Accidental Prone Area Detection in Dhaka Metropolitan City Using Machine Learning Models
Author:
Affiliation:
1. Daffodil International University,Dept. of Computer Science and Engineering,Dhaka,Bangladesh
2. North South University,Dept. of Computer Science and Engineering,Dhaka,Bangladesh
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10578345/10578346/10578490.pdf?arnumber=10578490
Reference21 articles.
1. A Machine Learning Approach for Classifying Road Accident Hotspots;da Silva;Applied Sciences,2022
2. Analysis for Status of the Road Accident Occurance and Determination of the Risk of Accident by Machine Learning in Istanbul
3. Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning
4. Accidental Prone Area Detection in Bangladesh using Machine Learning Model;Khan;International Journal of Computer Applications,2020
5. An Analysis of the Most Accident Prone Regions within the Dhaka Metropolitan Region Using Clustering;Hossain;Journal of Disaster Research,2022
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