Data mining application: Case of road traffic accidents in the UK West Midlands Area 2000

被引:0
|
作者
Saraee, M [1 ]
Kerry, J [1 ]
Lloyd, M [1 ]
Markey, C [1 ]
机构
[1] Univ Salford, Sch CSE, Manchester, Lancs, England
来源
IC-AI '04 & MLMTA'04 , VOL 1 AND 2, PROCEEDINGS | 2004年
关键词
traffic accidents; UK's West Midlands; injuries; classification;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
For this assignment we are aiming to use data mining techniques in the analysis of data recorded about road traffic accidents in the UK's 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.
引用
收藏
页码:1102 / 1108
页数:7
相关论文
共 50 条
  • [1] The impact of climate change on winter road maintenance and traffic accidents in West Midlands, UK
    Andersson, Anna K.
    Chapman, Lee
    ACCIDENT ANALYSIS AND PREVENTION, 2011, 43 (01): : 284 - 289
  • [2] A Data Mining Approach for Analysing Road Traffic Accidents
    Abdullah, Tariq
    Nyalugwe, Symon
    2019 2ND INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS & INFORMATION SECURITY (ICCAIS), 2019,
  • [3] Data mining techniques to analyze traffic accidents data: Case application in Morocco
    Touzani, Halima Drissi
    Faquir, Sanaa
    Yahyaouy, Ali
    2020 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS), 2020,
  • [4] The Application of Data Mining Technology to Build a Forecasting Model for Classification of Road Traffic Accidents
    Shiau, Yau-Ren
    Tsai, Ching-Hsing
    Hung, Yung-Hsiang
    Kuo, Yu-Ting
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [5] Analysis of Road Traffic Fatal Accidents Using Data Mining Techniques
    Li, Liling
    Shrestha, Sharad
    Hu, Gongzhu
    2017 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING RESEARCH, MANAGEMENT AND APPLICATIONS (SERA), 2017, : 363 - 370
  • [6] Data mining method of road traffic accidents based on feature weighting
    Fu X.
    Li Q.
    Wang L.T.
    Wang D.G.
    Liu X.L.
    Advances in Transportation Studies, 2022, 4 (Special Issue): : 103 - 112
  • [7] Speed cameras and road traffic accidents in the UK
    不详
    NEW ZEALAND MEDICAL JOURNAL, 1998, 111 (1071) : 287 - 287
  • [8] Risk analysis of road traffic accidents based on improved data mining method
    Feng T.
    Gao T.
    International Journal of Simulation and Process Modelling, 2022, 18 (04) : 253 - 266
  • [9] Data mining model of regional road traffic accidents based on bat algorithm
    Yang B.
    Advances in Transportation Studies, 2022, 2 (Special issue): : 113 - 122
  • [10] Killer crashes: Fatal road traffic accidents in the UK
    Clarke, David D.
    Ward, Patrick
    Bartle, Craig
    Truman, Wendy
    ACCIDENT ANALYSIS AND PREVENTION, 2010, 42 (02): : 764 - 770