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Predictive Analysis of UK Road Accidents Using Machine Learning: Technical Report

Patterson, Alan (2021) Predictive Analysis of UK Road Accidents Using Machine Learning: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

Responsible for approximately 1.35 million deaths each year, road-traffic accidents are currently the 8th leading cause of death globally. For governments across the world to implement measures to reduce the number of fatalities caused by road traffic accidents, it is crucial to understand of the main causes of these accidents and the circumstances under which they occur.

The aim of this project is two-fold:
1. To gain insight into the current climate of road accidents in the United Kingdom (UK) through an exploratory analysis of multiple road accident datasets.
2. To investigate the effectiveness of various machine learning techniques in predicting severity of road accidents in the UK.

Multiple datasets were collected, collated, explored and prepared for several machine learning models which were trained and tested to evaluate and compare predictive performance.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: Clara Chan
Date Deposited: 14 Sep 2021 15:05
Last Modified: 20 Sep 2021 09:37
URI: http://norma.ncirl.ie/id/eprint/5028

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