Abstract
Road traffic accidents are a very rampant issue causing injury, loss of lives and property worldwide. In this research, a system for determining the severity of motorcycle accidents in Lokoja Metropolis of Central Nigeria was developed. The research considered different areas that are highly prone to accidents in Lokoja. Although accidents cannot be totally avoided, through scientific analysis, their frequency and severity can be reduced. The methodology used in this research is Knowledge Discovery in Databases with the Decision Tree Algorithm as the soft computing technique used for analysis. Python programming language was used for the implementation. The dataset used was gotten from the Federal Road Safety Corps (FRSC) in Lokoja. After the training and testing of the dataset, we achieved an accuracy of 90.5%. The motorcycle accident severity prediction system developed could serve as a tool that can be used to cub the enormous challenges faced by FRSC in curtailing motorcycle accident.
Highlights
Movement from one place to another either of humans or goods is inevitable in life transport is an important element in development
The study results found that speed limit was the only factor that affects the accident severity on expressway
The developed web application was used in carrying out the prediction of motorcycle accidents severity in Lokoja, which was achieved through the collection of historical data concerning the motorcycle accidents that previously occurred
Summary
Movement from one place to another either of humans or goods is inevitable in life transport is an important element in development. The introduction of the tricycle popularly known as ‘keke napep or keke’ mode of transportation has improved the socio-economic life of the people but has created employment for the timing unemployed youths especially in the present situation where unemployment has been the order of the day [1]. This has worsened the intra-urban road traffic accident records in the cities as the riding habits of the cyclists shows majority of them disobey traffic regulations and road signs and operate on the intra-city roads with abandonment and lack of due regard for their own safety. In contrast with other modes of transportation, motorcycle users are more prone to serious injuries
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