Utilizing support vector machine in real-time crash risk evaluation

Accident Analysis and Prevention

Volumn 51, Issue , 2013, Pages 252-259

  Yu, Rongjie ^a   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

Author keywords

Bayesian logistic regression; Mountainous freeway safety; Real time crash risk evaluation; Support vector machine model

Indexed keywords

ACTIVE TRAFFIC MANAGEMENTS; CLASSIFICATION ACCURACY; CLASSIFICATION AND REGRESSION TREE MODELS; CRASH RISK; DATA SETS; EXPLANATORY VARIABLES; EXTENSION ANALYSIS; KERNEL FUNCTION; LINEAR FUNCTIONAL; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; MODEL COMPARISON; MOUNTAINOUS FREEWAY; NEURAL NETWORK MODEL; OVERFITTING; PREDICTIVE ABILITIES; PREDICTIVE CAPABILITIES; PREDICTIVE POWER; ROC CURVES; SAMPLE SIZES; STATISTICAL LEARNING; SUPPORT VECTOR; SVM MODEL; TRAFFIC SAFETY; TRAINING DATASET; UNOBSERVED HETEROGENEITY; VARIABLE SELECTION;

ADVANCED TRAFFIC MANAGEMENT SYSTEMS; LOGISTICS; REGRESSION ANALYSIS;

SUPPORT VECTOR MACHINES;

ACCIDENT PREVENTION; ARTICLE; BAYES THEOREM; EVALUATION; METHODOLOGY; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TRAFFIC ACCIDENT;

ACCIDENT PREVENTION; ACCIDENTS, TRAFFIC; BAYES THEOREM; LOGISTIC MODELS; MODELS, STATISTICAL; RISK ASSESSMENT; ROC CURVE; SUPPORT VECTOR MACHINES;

MLCS; MLOWN;

EID: 84872121433     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2012.11.027     Document Type: Article

References (38)

1. M. Abdel-Aty, J. Dilmore, and A. Dhindsa Evaluation of variable speed limits for real-time freeway safety improvement Accident Analysis and Prevention 38 2006 335 345
2. M. Abdel-Aty, A. Pande, C. Lee, V. Gayah, and C. Dos Santos Crash risk assessment using intelligent transportation systems data and real-time intervention strategies to improve safety on freeways Journal of Intelligent Transportation Systems 11 2007 107 120
3. M. Abdel-Aty, N. Uddin, A. Pande, F.M. Abdalla, and L. Hsia Predicting freeway crashes from loop detector data by matched case-control logistic regression Transportation Research Record: Journal of the Transportation Research Board 1897 2004 88 95
4. Ahmed, M., Abdel-Aty, M., Yu, R. Assessment of the interaction between crash occurrence, mountainous freeway geometry, real-time weather and AVI traffic data. Journal of Transportation Research Board, in press-a.
5. Ahmed, M., Abdel-Aty, M., Yu, R. A Bayesian updating approach for real-time safety evaluation using AVI data. Journal of Transportation Research Record, in press-b.
6. Breslow, N., Day, N., 1980. Statistical Methods in Cancer Research, vol. 1. The Analysis of Case-Control Studies Distributed for IARC by WHO, Geneva, Switzerland.
7. L. Chang, and W. Chen Data mining of tree-based models to analyze freeway accident frequency Journal of Safety Research 36 2005 365 375
8. G. Chang, S. Park, and J. Paracha Its field demonstration: integration of variable speed limit control and travel time estimation for a recurrently congested highway Proceedings of the TRB 2011 Annual Meeting Washington, DC 2011
9. L. Chang, and H. Wang Analysis of traffic injury severity: an application of non-parametric classification tree techniques Accident Analysis and Prevention 38 2006 1019 1027
10. S. Chen, W. Wang, and H. Van Zuylen Construct support vector machine ensemble to detect traffic incident Expert Systems with Applications 36 2009 10976 10986
11. R. Cheu, J. Xu, A. Kek, W. Lim, and W. Chen Forecasting shared-use vehicle trips with neural networks and support vector machines Transportation Research Record: Journal of the Transportation Research Board 1968 2006 40 46
12. C. Cortes, and V. Vapnik Support-vector networks Machine Learning 20 1995 273 297
13. K. Fish, and J. Blodgett A visual method for determining variable importance in and artificial neural network model: an empirical benchmark study Journal of Targeting Measurement and Analysis for Marketing 11 2003 244 254
14. J. Friedman, T. Hastie, and R. Tibshirani The Elements of Statistical Learning 2001 Springer New York, USA
15. R. Kohavi A study of cross-validation and bootstrap for accuracy estimation and model selection International Joint Conference on Artificial Intelligence (IJCAI) 1995 1137 1145
16. P. Kuhnert, K. Do, and R. McClure Combing non-parametric models with logistic regression: an application to motor vehicle injury data Computational Statistics and Data Analysis 34 2000 371 386
17. C. Lee, and M. Abdel-Aty Testing effects of warning messages and variable speed limits on driver behavior using driving simulator Transportation Research Record: Journal of the Transportation Research Board 2069 2008 55 64
18. C. Lee, M. Abdel-Aty, and L. Hsia Potential real-time indicators of sideswipe crashes on freeways Transportation Research Record: Journal of the Transportation Research Board 1953 2006 41 49
19. C. Lee, B. Hellinga, and F. Saccomanno Evaluation of variable speed limits to improve traffic safety Transportation Research Part C 14 2006 213 228
20. X. Li, D. Lord, Y. Zhang, and Y. Xie Predicting motor vehicle crashes using support vector machine models Accident Analysis and Prevention 40 2008 1611 1618
21. Z. Li, P. Liu, W. Wang, and C. Xu Using support vector machine models for crash injury severity analysis Accident Analysis and Prevention 45 2011 478 486
22. Z. Li, P. Liu, W. Wang, and C. Xu Using support vector machine models for crash injury severity analysis Accident Analysis and Prevention 45 2012 478 486
23. D. Lord, and F. Mannering The statistical analysis of crash-frequency data: a review and assessment of methodological alternatives Transportation Research Part A 44 2010 291 305
24. D. Lunn, A. Thomas, N. Best, and D. Spiegelhalter Winbugs - a Bayesian modelling framework: concepts, structure, and extensibility Statistics and Computing 10 2000 325 337
25. Y. Lv, S. Tang, H. Zhao, and S. Li Real-time highway accident prediction based on support vector machines Control and Decision Conference (CCDC) 2009 4403 4407 (in Chinese)
26. M. Mirshahi, J. Obenberger, C. Fuhs, C. Howard, R. Krammes, B. Kuhn, R. Mayhew, M. Moore, K. Sahebjam, and C. Stone Active Traffic Management: The Next Step in Congestion Management 2007
27. S. Pan, L. Jia, N. Zou, and S. Park Design and implement of a variable speed limit system with travel time display - a case study in Maryland, USA 17th ITS World Congress Busan 2010 Busan, Korea 2010
28. A. Pande, and M. Abdel-Aty Comprehensive analysis of the relationship between real-time traffic surveillance data and rear-end crashes on freeways Transportation Research Record: Journal of the Transportation Research Board 1953 2006 31 40
29. A. Pande, and M. Abdel-Aty Assessment of freeway traffic parameters leading to lane-change related collisions Accident Analysis and Prevention 38 2006 936 948
30. A. Pande, A. Das, M.A. Abdel-Aty, and H. Hassan Real-time crash risk estimation: are all freeways created equal? Transportation Research Record: Journal of the Transportation Research Board 2237 2011 60 66
31. G. Ren, and Z. Zhou Traffic safety forecasting method by particle swarm optimization and support vector machine Expert Systems with Applications 38 2011 10420 10424
32. SAS Institute SAS/Graph (r) 9.1 reference 2004 SAS Institute
33. D. Spiegelhalter, A. Thomas, N. Best, and D. Lunn Winbugs User Manual 2003 MRC Biostatistics Unit Cambridge
34. V. Vapnik, and A. Chervonenkis Pattern Recognition Theory 1974 Statistical Learning Problems Nauka, Moskva
35. V. Vladimir, and V. Vapnik The Nature of Statistical Learning Theory 1995 Springer New York
36. F. Yuan, and R. Cheu Incident detection using support vector machines Transportation Research Part C: Emerging Technologies 11 2003 309 328
37. R. Yu, M. Abdel-Aty, and M. Ahmed Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors Accident Analysis and Prevention 50 2013 371 376
38. Y. Zhang, and Y. Xie Forecasting of short-term freeway volume with v-support vector machines Transportation Research Record: Journal of the Transportation Research Board 2024 2008 92 99