Accident Severity Prediction Using Hybrid Stacking of Machine Learning Models

Penke, Pavani and Gandepalli, Lakshmi Srija and Pravallika, Kannam Venkata and Sai, Chittiboyina Mounika Padma and Siva, Buddaraju Amar and Deepthi, Malipeddi. N.V.G.A. (2025) Accident Severity Prediction Using Hybrid Stacking of Machine Learning Models. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

[thumbnail of 79512.pdf] PDF
79512.pdf

Download (289kB)

Abstract

Prediction of road accidents is important for road safety and decreasing the road crashes. This proposal aims to establish a robust hybrid machine learning model for predicting accidents by taking elements including weather, type of road, hour of day, traffic flow and driver as input factors. The pr

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:19
Last Modified: 16 Apr 2026 15:54
URI: http://eprints.eai.eu/id/eprint/60157

Actions (login required)

View Item
View Item