Determining and vigilance of the Road Accidents Hotspots using Machine Learning Algorithms
Authors
Mandarapu Hemanth1, *, Mavuluri Datha Sushma1, Myla Krishna Rajitha1, Mandava Giridhar Sundar1, Swathi Mutyala2
1Department of Information Technology, Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India
2Department of Information Technology, Seshadri Rao Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India
*Corresponding author.
Email: hemanthmadarapu13@gmail.com
Corresponding Author
Mandarapu Hemanth
Available Online 30 July 2024.
- DOI
- 10.2991/978-94-6463-471-6_46How to use a DOI?
- Keywords
- Accident Hotspots; Machine Learning; GPS; Proactive alert System
- Abstract
Worldwide, traffic accidents result in fatalities, injuries, and financial losses. Accurate models for predicting accident severity are essential for transportation systems. This study focuses on constructing injury severity classification models using key variables and various machine learning techniques. Supervised algorithms (Random Forests, Decision Trees, Logistic Regression, and K-Nearest Neighbors) are employed, with the SMOTE algorithm addressing data imbalance. Findings indicate that Logistic Regression and SVM models effectively determine injury severity. Additionally, leveraging user GPS data, the system proactively alerts users before reaching accident-prone areas, visually mapping these locations.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Mandarapu Hemanth AU - Mavuluri Datha Sushma AU - Myla Krishna Rajitha AU - Mandava Giridhar Sundar AU - Swathi Mutyala PY - 2024 DA - 2024/07/30 TI - Determining and vigilance of the Road Accidents Hotspots using Machine Learning Algorithms BT - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024) PB - Atlantis Press SP - 475 EP - 484 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-471-6_46 DO - 10.2991/978-94-6463-471-6_46 ID - Hemanth2024 ER -