Road Accident Severity Prediction using Adaptive Custom Weight Initialization and Enhanced Focal Loss Integration Technique
Author:
Affiliation:
1. Birla Institute of Technology, Mesra, Jaipur Campus
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2025.2487628
Reference23 articles.
1. RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model;Manzoor M.;IEEE. Access.,2021
2. Predicting accident severity: an analysis of factors affecting accident severity using random forest model;Adefabi A.;Int. J. on Cybts & Infots (IJCI),2023
3. Safety sensitivity to roadway characteristics: A comparison across highway classes;Chen S.;Accid. Anal. Prev.,2019
4. Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach;Fountas G.;Accid. Anal. Prev.,2018
5. Enhancing road accident prediction: An advanced information retrieval approach with enhanced focal loss;Verma R.;Lib Prog,2024
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