A two-stage mining framework to explore key risk conditions on one-vehicle crash severity

Accident Analysis and Prevention

Volumn 50, Issue , 2013, Pages 405-415

  Chiou, Yu Chiun ^a   Lan, Lawrence W ^a   Chen, Wen Pin ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Crash severity; Genetic mining rule; Mixed logit model; One vehicle crashes; Stepwise rule mining algorithm

Indexed keywords

ADJACENT-RULE; CRASH SEVERITY; EXPLANATORY VARIABLES; GENETIC MINING RULE; MIXED LOGIT MODELS; ONE-VEHICLE CRASHES; POTENTIAL RISKS; PROPERTY LOSS;

ALGORITHMS; MATHEMATICAL MODELS; RISK PERCEPTION; VEHICLES; WEBSITES;

HIGHWAY ACCIDENTS;

ARTICLE; DATA MINING; FEMALE; HUMAN; INJURY SCALE; MALE; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL; STATISTICS; TAIWAN; TRAFFIC ACCIDENT;

ACCIDENTS, TRAFFIC; DATA MINING; FEMALE; HUMANS; INJURY SEVERITY SCORE; LOGISTIC MODELS; MALE; RISK ASSESSMENT; RISK FACTORS; TAIWAN;

EID: 84870292510     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2012.05.017     Document Type: Article

References (39)

1. 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
2. L.Y. Chang, and W.C. Chen Data mining of tree-based models to analyze freeway accident frequency Journal of Safety Research 36 4 2005 365 375
3. 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 5 2006 1019 1027
4. T.C. Chen, and T.C. Hsu A GAs-based approach for mining breast cancer pattern Expert Systems with Applications 30 4 2006 674 681
5. D. Chimba, and T. Sando Neuromorphic prediction of highway injury severity Advances in Transportation Studies 19 1 2009 17 26
6. Y.C. Chiou An artificial neural network-based expert system for the accident appraisal of two-car crash accidents Accident Analysis and Prevention 38 4 2006 777 785
7. Y.C. Chiou, L.W. Lan, and W.P. Chen Contributory factors to crash severity in Taiwan freeways: genetic mining rule approach Journal of the Eastern Asia Society for Transportation Studies 8 2010 1865 1877
8. D.D. Clarke, R.S. Forsyth, and R.L. Wright Behavioural factors in accidents at road junctions: the use of a genetic algorithm to extract descriptive rules from police case files Accident Analysis and Prevention 30 2 1998 223 234
9. S. Dehuri, and R. Mall Prediction and comprehensible rule discovery using a multi-objective genetic algorithm Knowledge-Based System 19 6 2006 413 421
10. D. Delen, R. Sharda, and M. Bessonov Identifying significant predictors of injury severity in traffic accidents using series of artificial neural networks Accident Analysis and Prevention 38 3 2006 434 444
11. N. Eluru, R. Paleti, R.M. Pendyala, and C.R. Bhat Modeling multiple vehicle occupant injury severity: a Copula-based multivariate approach Transportation Research Record 2165 2010 1 11
12. A.A. Freitas On rule interestingness measures Knowledge-Based Systems 12 5-6 1999 309 315
13. A. Ghosh, and B. Nath Multi-objective rule mining using genetic algorithms Information Sciences 163 1-3 2004 123 133
14. D.E. Goldberg Genetic Algorithms in Search, Optimization, and Machine Learning 1989 Addison-Wesley New York
15. K. Haleem, and M. Abdel-Aty Examining traffic crash injury severity at unsignalized intersections Journal of Safety Research 41 4 2010 347 357
16. H. Helai, C. Chor, and M. Haque Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis Accident Analysis and Prevention 40 1 2008 45 54
17. F. Herrera, M. Lozano, and J.L. Verdegay A learning process for fuzzy control rules using genetic algorithms Fuzzy Sets and Systems 100 1998 143 158
18. M.J. Kim, and I. Han The discovery of experts' decision rules from qualitative bankruptcy data using genetic algorithms Expert Systems with Applications 25 4 2003 637 646
19. J. Kim, G. Ulfarsson, V. Shankar, and F. Mannering A note on modeling pedestrian-injury severity in motor-vehicle crashes with the mixed logit model Accident Analysis and Prevention 42 6 2010 1751 1758
20. C. Lee, and M. Abdel-Aty Presence of passengers: does it increase or reduce driver's crash potential? Accident Analysis and Prevention 40 5 2008 1703 1712
21. B.-S. Liu Association of intersection approach speed with driver characteristics, vehicle type and traffic conditions comparing urban and suburban areas Accident Analysis and Prevention 39 3 2007 216 223
22. D. McFadden, and K. Train Mixed MNL models for discrete response Journal of Applied Econometrics 15 5 2000 447 470
23. Z. Michalewicz Genetic Algorithms + Data Structures = Evolution Programs 1992 Springer Berlin
24. J. Milton, V. Shankar, and F. Mannering Highway accident severities and the mixed logit model: an exploratory empirical analysis Accident Analysis and Prevention 40 1 2008 260 266
25. A. Morgan, and F. Mannering The effects of road-surface conditions, age, and gender on driver-injury severities Accident Analysis and Prevention 43 5 2011 1852 1863
26. C.J. O'Donnell, and D.H. Connor Predicting the severity of motor vehicle accident injuries using models of ordered multiple choice Accident Analysis and Prevention 28 6 1996 739 753
27. C.W. Pai, and W. Saleh Exploring motorcyclist injury severity resulting from various crash configurations at T-junctions in the UK-an application of the ordered probit models Traffic Injury Prevention 8 1 2007 62 68
28. S.M. Rifaat, and H.C. Chin Factors contributing to the severity of intersection crashes Journal of Advanced Transportation 41 1 2007 91 114
29. N. Rhodes, and K. Pivik Age and gender differences in risky driving: the roles of positive affect and risk perception Accident Analysis and Prevention 43 3 2011 923 931
30. P.T. Savolainen, and F.L. Mannering Probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes Accident Analysis and Prevention 39 6 2007 955 963
31. P.T. Savolainen, F.L. Mannering, D. Lord, and M.A. Quddus The statistical analysis of crash-injury severities: a review and assessment of methodological alternatives Accident Analysis and Prevention 43 5 2011 1666 1676
32. V. Shankar, F. Mannering, and W. Barfield Effect of roadway geometrics and environmental factors on rural accident frequencies Accident Analysis and Prevention 28 3 1996 371 389
33. K.S. Shin, and Y.J. Lee A genetic algorithm application in bankruptcy prediction modeling Expert Systems with Applications 23 3 2002 321 328
34. K. Srinivasan Injury severity analysis with variable and correlated thresholds: ordered mixed logit formulation Transportation Research Record 1784 2002 132 142
35. N.N. Sze, and S.C. Wong Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes Accident Analysis and Prevention 39 6 2007 1267 1278
36. R. Tay, and S.M. Rifaat Factors contributing to the severity of intersection crashes Journal of Advanced Transportation 41 3 2007 245 265
37. K. Train Discrete Choice Methods with Simulation 2009 Cambridge University Press NewYork, NY
38. T. Yamamoto, J. Hashiji, and V. Shankar Underreporting in traffic accident data, bias in parameters and the structure of injury severity models Accident Analysis and Prevention 40 4 2008 1320 1329
39. X. Zhu, and S. Srinivasan A comprehensive analysis of factors influencing the injury severity of large-truck crashes Accident Analysis and Prevention 43 1 2011 49 57