Incident detection using support vector machines

Transportation Research Part C: Emerging Technologies

Volumn 11, Issue 3-4, 2003, Pages 309-328

  Yuan, Fang ^a   Cheu, Ruey Long ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTORS; FEEDFORWARD NEURAL NETWORKS; LEARNING ALGORITHMS; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION;

SUPPORT VECTOR MACHINES (SVM);

TRANSPORTATION;

TRAFFIC MANAGEMENT;

EID: 0042664078     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0968-090X(03)00020-2     Document Type: Article

References (25)

1. Abdulhai B. Ritchie S.G. Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network Transportation Research 7C 5 1999 261-280
2. Adeli H. Karim A. Fuzzy-wavelet RBFNN model for freeway incident detection Journal of Transportation Engineering 126 6 2000 464-471
3. Ahmad S.R. Cook A.R. Application of time-series analysis technique to freeway incident detection Transportation Research Record 841 1982 19-21
4. Bell M.G.H. Thancanamootoo B. Automatic incident detection within urban traffic control system Proceedings of the International Road and Traffic Conference, vol. 4(2) 1988 35-38 Institute of Electrical Engineers UK
5. Burges C.J.C. A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 2 1998 121-167 http://svm.first.gmd.de
6. Cheu R.L. Ritchie S.G. Automated detection of lane-blocking freeway incidents using artificial neural networks Transportation Research 3C 1996 371-388
7. Cheu R.L. Ritchie S.G. Recker W.W. Bavarian B. Investigation of a neural network model for freeway incident detection Toppings B.H.V. Proceedings of 2nd International Conference on the Artificial Intelligence Applications in Transportation Engineering 1991 267-274 Civil-Comp Press Edinburgh, UK
8. Dia H. Rose G. Development and evaluation of neural network freeway incident detection models using field data Transportation Research 5C 5 1998 313-331
9. Gunn, S., 1998. Support vector machines for classification and regression. Technical Report, Image Speech and Intelligent Systems Research Group, University of Southampton, UK. http://www.isis.ecs.soton.ac.uk/resources/svminfo
10. Han, L.D., May, A.D., 1989. Automatic detection of traffic operational problems on urban arterials. Research Report UCB-ITS-RR-89-15, Institute of Transportation Studies, University of California, Berkeley
11. Ishak S. Al-Deek H. Performance of automatic ANN-based incident detection on freeways Journal of Transportation Engineering 125 4 1999 281-290
12. Ivan J.N. Sethi V. Data fusion of fixed detection and probe vehicle data for incident detection Computer-Aided Civil - Infrastructure Engineering 13 5 1998 329-337
13. Jin, X., 2000. Development of Adaptive Expressway Incident Detection Systems using Genetic Algorithm and Neural Networks. Ph.D. Thesis. Department of Civil Engineering, National University of Singapore
14. Jin X. Cheu R.L. Srinivasan D. Development and adaptation of constructive probabilistic neural networks for freeway incident detection Transportation Research 10C 2 2002 121-147
15. Khan S.I. Ritchie S.G. Statistical and neural classifiers to detect traffic operational problems on urban arterials Transportation Research 6C 5 1998 291-314
16. Ma, J., Ahalt, S., 2000. OSU SVM Classifier Matlab Toolbox (Ver 2.00). http://eewww.eng.ohio-state.edu/~maj/osu_svm/
17. MathWorks Optimization Toolbox 2000 The MathWorks Inc. Natick, MA
18. Payne, H.J., Helfenbein, E.D., Knobel, H.C., 1976. Development and Testing of Incident Detection Algorithms, vol. 2: Research Methodology and Results. Report FHWA-RD-76-20. FHWA
19. Persaud B. Hall F.L. Catastrophe theory and patterns in 30-second freeway data-implication for incident detection Transportation Research 23A 2 1989 103-113
20. Petty K. Noeimi H. Sanwal K. Rydzewski D. Skabardonis A. Varaiya P. Al-Deek H. The freeway service patrol evaluation project: database support programs and accessibility Transportation Research 4C 3 1996 71-86
21. Stephanedes Y.J. Chassiskos A.P. Application of filtering techniques for incident detection Journal of Transportation Engineering 119 1 1993 13-26
22. Van Aerde, M., 1995. INTEGRATION Release 2, User Guide. Van Aerde and the Transportation Systems Research Group, Queen's University, Kingston, Ontario, Canada
23. Vapnik V.N. The Nature of Statistical Learning Theory 1995 Springer-Verlag New York
24. Vapnik V.N. The support vector method of function estimation Generalization in Neural Network and Machine Learning 1998 239-268 Springer-Verlag New York, NY
25. Yuan, F., 2001. Arterial Street Incident Detection using Learning Machines. M.Eng. Thesis. Department of Civil Engineering, National University of Singapore, Singapore