Uncovering the Causes and Preventive Measures of Road Traffic Accidents in Kerala

Joseph, Jebitta (2024) Uncovering the Causes and Preventive Measures of Road Traffic Accidents in Kerala. Masters thesis, Dublin, National College of Ireland.

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Abstract

Road accidents is the current issue that occurred on a large scale and lead to high fatalities, and injuries and economic losses on an international level. This paper discusses the possibility of using a machine learning approach to forecast road accidents on roads as the traditional statistical measures like linear regression, moving averages etc have relatively fail to capture non-linear behaviour and trends in the accidents. The current systems lack comprehensive use of creative technologies such as machine learning (ML) and large language models (LLMs) for predicting and preventing RTAs, even though such technologies can easily analyze large databases and identify concealed patterns To improve the forecast precision and provide results that can be put into use, the study uses established techniques including Gradient Boosting Regressor, Random Forest, SARIMA. The presented model uses feature engineering, dimensionality reduction and ensemble for detecting most significant predictive characteristics and making prognosis of accidents. These findings may be useful to design effective preventive programmes tailored on students’ needs to enhance road safety policies, in an attempt to mitigate the high socio-economic burden associated with road traffic accidents and support a evidence-based approach to solve traffic-related safety issues at the global level.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Qayum, Abdul UNSPECIFIED
Uncontrolled Keywords:	Road Accident Analysis; Machine learning; LLMs; Data Analysis; Exploration of Data; Streamlit
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TE Highway engineering. Roads and pavements T Technology > TL Motor vehicles. Aeronautics. Astronautics Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	02 Sep 2025 14:52
Last Modified:	02 Sep 2025 14:52
URI:	https://norma.ncirl.ie/id/eprint/8717

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