메뉴 건너뛰기




Volumn 50, Issue , 2013, Pages 1151-1160

Extracting decision rules from police accident reports through decision trees

Author keywords

C4.5; CART; Decision rules; Decision trees; Severity; Traffic accident

Indexed keywords

C4.5; CART; CRASH SEVERITY; DECISION RULES; DECISION TREES (DTS); LIGHTING CONDITIONS; ROAD SAFETY; RURAL HIGHWAYS; SEVERITY; SPECIFIC PROBLEMS;

EID: 84870293161     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2012.09.006     Document Type: Article
Times cited : (112)

References (31)
  • 1
    • 0035689114 scopus 로고    scopus 로고
    • Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections
    • H.T. Abdel Wahab, and M.A. Abdel-Aty Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections Transportation Research Record 1746 2001 6 13
    • (2001) Transportation Research Record , vol.1746 , pp. 6-13
    • Abdel Wahab, H.T.1    Abdel-Aty, M.A.2
  • 2
    • 0345867100 scopus 로고    scopus 로고
    • Analysis of driver injury severity levels at multiple locations using ordered probit models
    • M. Abdel-Aty Analysis of driver injury severity levels at multiple locations using ordered probit models Journal of Safety Research 34 2003 597 603
    • (2003) Journal of Safety Research , vol.34 , pp. 597-603
    • Abdel-Aty, M.1
  • 3
    • 79952706236 scopus 로고    scopus 로고
    • Maximising entropy on the nonparametric predictive inference model for multinomial data
    • J. Abellán, R.M. Baker, and F.P.A. Coolen Maximising entropy on the nonparametric predictive inference model for multinomial data European Journal of Operational Research 212 1 2011 112 122
    • (2011) European Journal of Operational Research , vol.212 , Issue.1 , pp. 112-122
    • Abellán, J.1    Baker, R.M.2    Coolen, F.P.A.3
  • 6
    • 0036826985 scopus 로고    scopus 로고
    • Using logistic regression to estimate the influence of accident factors on accident severity
    • A. Al-Ghamdi Using logistic regression to estimate the influence of accident factors on accident severity Accident Analysis and Prevention 34 6 2002 729 741
    • (2002) Accident Analysis and Prevention , vol.34 , Issue.6 , pp. 729-741
    • Al-Ghamdi, A.1
  • 8
    • 33745753402 scopus 로고    scopus 로고
    • Analysis of traffic injury severity: An application of non-parametric classification tree techniques
    • L.Y. Chang, and H.W. Wang Analysis of traffic injury severity: an application of non-parametric classification tree techniques Accident Analysis and Prevention 38 2006 1019 1027
    • (2006) Accident Analysis and Prevention , vol.38 , pp. 1019-1027
    • Chang, L.Y.1    Wang, H.W.2
  • 9
    • 78650005069 scopus 로고    scopus 로고
    • Analysis of traffic accident injury on Spanish rural highways using Bayesian networks
    • J. De Oña, R.O. Mujalli, and F.J. Calvo Analysis of traffic accident injury on Spanish rural highways using Bayesian networks Accident Analysis and Prevention 43 2011 402 411
    • (2011) Accident Analysis and Prevention , vol.43 , pp. 402-411
    • De Oña, J.1    Mujalli, R.O.2    Calvo, F.J.3
  • 10
    • 0002433547 scopus 로고    scopus 로고
    • From data mining to knowledge discovery: An overview
    • U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, AAAI Press/The MIT Press
    • U.M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth From data mining to knowledge discovery: an overview U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, Advances in Knowledge Discovery and Data Mining 1996 AAAI Press/The MIT Press 1 34
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.M.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 11
    • 55749083857 scopus 로고    scopus 로고
    • Injury severity analysis of accidents involving young male drivers in Great Britain
    • R.C. Gray, M.A. Quddus, and A. Evans Injury severity analysis of accidents involving young male drivers in Great Britain Journal of Safety Research 39 2008 483 495
    • (2008) Journal of Safety Research , vol.39 , pp. 483-495
    • Gray, R.C.1    Quddus, M.A.2    Evans, A.3
  • 12
    • 38349014191 scopus 로고    scopus 로고
    • Severity of driver injury and vehicle damage in traffic crashes at intersections: A Bayesian hierarchical analysis
    • H. Helai, C.H. Chor, and M.M. Haque Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis Accident Analysis and Prevention 40 2008 45 54
    • (2008) Accident Analysis and Prevention , vol.40 , pp. 45-54
    • Helai, H.1    Chor, C.H.2    Haque, M.M.3
  • 13
    • 79960987433 scopus 로고    scopus 로고
    • Analysis of the traffic injury severity on two-lane, two-way rural roads based on classification tree models
    • A. Kashani, and A. Mohaymany Analysis of the traffic injury severity on two-lane, two-way rural roads based on classification tree models Safety Science 49 2011 1314 1320
    • (2011) Safety Science , vol.49 , pp. 1314-1320
    • Kashani, A.1    Mohaymany, A.2
  • 14
    • 79952583678 scopus 로고    scopus 로고
    • A data mining approach to identify key factors of traffic injury severity
    • A. Kashani, A. Mohaymany, and A. Ranjbari A data mining approach to identify key factors of traffic injury severity Promet-Traffic & Transportation 23 1 2011 11 17
    • (2011) Promet-Traffic & Transportation , vol.23 , Issue.1 , pp. 11-17
    • Kashani, A.1    Mohaymany, A.2    Ranjbari, A.3
  • 15
    • 0036558120 scopus 로고    scopus 로고
    • Driver injury severity: An application of ordered probit models
    • K.M. Kockelman, and Y.J. Kweon Driver injury severity: an application of ordered probit models Accident Analysis and Prevention 34 2002 313 321
    • (2002) Accident Analysis and Prevention , vol.34 , pp. 313-321
    • Kockelman, K.M.1    Kweon, Y.J.2
  • 16
    • 0034282783 scopus 로고    scopus 로고
    • Combining non-parametric models with logistic regression: An application to motor vehicle injury data
    • P.M. Kuhnert, K.A. Do, and R. McClure Combining non-parametric models with logistic regression: an application to motor vehicle injury data Computational Statistics & Data Analysis 34 3 2000 371 386
    • (2000) Computational Statistics & Data Analysis , vol.34 , Issue.3 , pp. 371-386
    • Kuhnert, P.M.1    Do, K.A.2    McClure, R.3
  • 17
    • 79952763933 scopus 로고    scopus 로고
    • A self-organizing feature maps and data mining based decision support system for liability authentications of traffic crashes
    • P. Liu A self-organizing feature maps and data mining based decision support system for liability authentications of traffic crashes Neurocomputing 72 2009 2902 2908
    • (2009) Neurocomputing , vol.72 , pp. 2902-2908
    • Liu, P.1
  • 18
    • 84867061091 scopus 로고    scopus 로고
    • Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery
    • doi:10.1016/j.aap.2011.04.025 in press
    • Montella, A.; Aria, M.; D'Ambrosio, A.; Mauriello, F. Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery. Accident Analysis and Prevention, http://dx.doi.org/10.1016/j.aap.2011.04.025, in press.
    • Accident Analysis and Prevention
    • Montella, A.1    Aria, M.2    D'Ambrosio, A.3    Mauriello, F.4
  • 20
    • 81355148517 scopus 로고    scopus 로고
    • A method for simplifying the analysis of traffic accidents injury severity on two-lane highways using Bayesian networks
    • R.O. Mujalli, and J. de Oña A method for simplifying the analysis of traffic accidents injury severity on two-lane highways using Bayesian networks Journal of Safety Research 42 2011 317 326
    • (2011) Journal of Safety Research , vol.42 , pp. 317-326
    • Mujalli, R.O.1    De Oña, J.2
  • 21
    • 79952513240 scopus 로고    scopus 로고
    • The role of human factor in incidence and severity of road crashes based on the CART and LR regression: A data mining approach
    • A. Pakgohar, R.S. Tabrizi, M. Khalilli, and A. Esmaeili The role of human factor in incidence and severity of road crashes based on the CART and LR regression: a data mining approach Procedia Computer Science 3 2010 764 769
    • (2010) Procedia Computer Science , vol.3 , pp. 764-769
    • Pakgohar, A.1    Tabrizi, R.S.2    Khalilli, M.3    Esmaeili, A.4
  • 22
    • 56949095528 scopus 로고    scopus 로고
    • Market basket analysis of crash data from large jurisdictions and its potential as a decision supporting tool
    • A. Pande, and M. Abdel-Aty Market basket analysis of crash data from large jurisdictions and its potential as a decision supporting tool Safety Science 47 2009 145 154
    • (2009) Safety Science , vol.47 , pp. 145-154
    • Pande, A.1    Abdel-Aty, M.2
  • 24
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J.R. Quinlan Induction of decision trees Machine Learning 1 1 1986 81 106
    • (1986) Machine Learning , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 25
    • 79958186110 scopus 로고    scopus 로고
    • The statistical analysis of highway crash-injury severities: A review and assessment of methodological alternatives
    • P. Savolainen, F. Mannering, D. Lord, and M. Quddus The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives Accident Analysis and Prevention 43 2011 1666 1676
    • (2011) Accident Analysis and Prevention , vol.43 , pp. 1666-1676
    • Savolainen, P.1    Mannering, F.2    Lord, D.3    Quddus, M.4
  • 26
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • 379-423 and 623-656
    • C.E. Shannon A mathematical theory of communication Bell System Technical Journal 27 1948 379-423 and 623-656
    • (1948) Bell System Technical Journal , vol.27
    • Shannon, C.E.1
  • 27
    • 0035185594 scopus 로고    scopus 로고
    • Data mining for road traffic accident type classification
    • S.Y. Sohn, and H.W. Shin Data mining for road traffic accident type classification Ergonomics 44 2001 107 117
    • (2001) Ergonomics , vol.44 , pp. 107-117
    • Sohn, S.Y.1    Shin, H.W.2
  • 29
    • 34249653461 scopus 로고    scopus 로고
    • Discovering significant patterns
    • G.I. Webb Discovering significant patterns Machine Learning 68 2007 1 33
    • (2007) Machine Learning , vol.68 , pp. 1-33
    • Webb, G.I.1
  • 31
    • 57949096181 scopus 로고    scopus 로고
    • Crash injury severity analysis using bayesian ordered Probit models
    • Y. Xie, Y. Zhang, and F. Liang Crash injury severity analysis using bayesian ordered Probit models Journal of Transportation Engineering ASCE 135 1 2009 18 25
    • (2009) Journal of Transportation Engineering ASCE , vol.135 , Issue.1 , pp. 18-25
    • Xie, Y.1    Zhang, Y.2    Liang, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.