Kabeer, Syed Ibrahim (2016) Analysis of Road accident in Leeds. Masters thesis, Dublin, National College of Ireland.
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An increase in road traffic accidents in Leeds has drawn attention to existing safety measures in place and the requirement for additional safety measures to be implemented. Data relating to traffic accidents has been made available for analysis to determine the best way to increase road safety. The available accident data has been analysed in various dimensions to identify the relationship between the severity's of the accidents. Determining an accurate result from this data set will help the automobile companies and Leeds city council prevent the accident re-occurring in the future. This research paper will determine the best algorithm model to use in order to improve the accuracy and predictions of road accidents in machine language programming. This would also help to improve the accuracy of the classifier in the road accident. The author applies three methods in this research paper, Decision tree, Naive Bayes and the Ensemble technique. This will improve the efficiency of identifying the severity of road crash accidents. The research project will determine the most suitable classification algorithm that can be used in future for prediction of road accidents.
|Item Type:||Thesis (Masters)|
|Subjects:||Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
|Divisions:||School of Computing > Master of Science in Data Analytics|
|Depositing User:||CAOIMHE NI MHAICIN|
|Date Deposited:||30 Jan 2017 09:54|
|Last Modified:||30 Jan 2017 09:54|
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