Data mining application : case of road traffic accidents in the UK West Midlands area 2000

Saraee, M; Kerry, J; Llyod, M; Markey, C

Abstract

For this assignment we are aiming to use data mining
techniques in the analysis of data recorded about road
traffic accidents in the West Midlands Area in the year
2000. This data will then hopefully provide drivers with
guidelines relating to what measures can be taken to
help reduce the chances of them being injured in a road
traffic accident. This analysis is therefore important in
order to identify potential risks and circumstances which
contribute to such accidents, and attempt to highlight
measures which can be taken to minimise them. The data
is currently in an unmanageable format which hinders
the investigation of finding specific links between
attributes. This means that no useful conclusions can be
accurately drawn at present. We therefore intend to
complete the analysis by using Envisioner software and
classification techniques to determine attributes of high
relevance within the data. Conclusions will then be
drawn, helping to identify factors such as speed, weather
and road conditions which contribute to an accident
occurrence.

Citation

Saraee, M., Kerry, J., Llyod, M., & Markey, C. (2005, July). Data mining application : case of road traffic accidents in the UK West Midlands area 2000. Presented at 3rd European Conference on Intelligent Management Systems in Operations, University of Salford

• Presentation Conference Type: Other
• Conference Name: 3rd European Conference on Intelligent Management Systems in Operations
• Conference Location: University of Salford
• Start Date: Jul 3, 2005
• End Date: Jul 4, 2005
• Publication Date: Jan 1, 2005
• Deposit Date: Nov 7, 2011
• Publicly Available Date: Apr 5, 2016
• Additional Information: Event Type : Conference