A wavelet-based freeway incident detection algorithm with adapting threshold parameters

Transportation Research Part C: Emerging Technologies

Volumn 19, Issue 1, 2011, Pages 1-19

  Jeong, Young Seon ^a   Castro Neto, Manoel ^b   Jeong, Myong K ^a,c   Han, Lee D ^d  

^a DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING   (United States)

^b FEDERAL UNIVERSITY OF CEARÁ   (Brazil)

^c Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^d University of Tennessee   (United States)

Author keywords

Freeway operations; Incident detection algorithms; Multi resolution analysis; Varying threshold value; Wavelets

Indexed keywords

ALARM SYSTEMS; DISCRETE WAVELET TRANSFORMS; ERRORS; GENETIC ALGORITHMS; IMAGE RESOLUTION; NEURAL NETWORKS; SIGNAL DETECTION; STATISTICAL TESTS;

FALSE ALARM PROBABILITY; FREEWAY OPERATIONS; INCIDENT DETECTION ALGORITHMS; MATHEMATICAL RELATIONSHIP; NEURAL NETWORKS ALGORITHMS; THRESHOLD-VALUE; WAVELET BASED ALGORITHM; WAVELETS;

PARAMETER ESTIMATION;

ACCIDENT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; DETECTION METHOD; NUMERICAL MODEL; PARAMETERIZATION; PROBABILITY; THRESHOLD; TRAFFIC MANAGEMENT; TRANSPORTATION PLANNING; TRANSPORTATION SAFETY; WAVELET ANALYSIS;

EID: 77957294137     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2009.10.005     Document Type: Article

References (44)

1. Abdulhai B., Ritchie S. Enhancing the universatility and transferability of freeway incident detection using a Bayesian-based neural network. Transportation Research Part C 1999, 7:261-280.
2. Adeli H., Samant A. An adaptive conjugate gradient neural network-wavelet model for traffic incident detection. Computer-Aided Civil and Infrastructure Engineering 2000, 15:251-260.
3. Ahmed N., Cook P. Application of time-series analysis techniques to freeway incident detection. Transportation Research Record 1982, 841:19-21.
4. Browne R., Foo S., Huynh S., Abdulhai B., Hall F. Comparison and analysis tool for automatic incident detection. Transportation Research Record 2005, 1925:58-65.
5. Chen R.L., Ritchie S.G. Automated detection of lane-blocking freeway incidents using artificial neural networks. Transportation Research Part C 1995, 3(6):371-388.
6. Cheu R.L., Qi H., Lee D.-H. Mobile sensor and sample-based algorithm for freeway incident detection. Transportation Research Record 2002, 1811:12-20.
7. Cheu R.L., Srinivasan D., Loo W.H. Training neural networks to detect freeway incidents by using particle swarm optimization. Transportation Research Record 2004, 1867:11-18.
8. Crabtree J., Stamatiadis N. Dedicated short-range communications technology for freeway incident detection. Transportation Research Record 2007, 2000:59-69.
9. Dia H., Rose G. Development and evaluation of neural network freeway incident detection models using field data. Transportation Research Part C 1997, 5(5):313-331.
10. Ghosh-Dastidar S., Adeli H. Wavelet-clustering-neural network model for freeway incident detection. Computer-Aided Civil and Infrastructure Engineering 2003, 18:325-338.
11. Guyon I., Elisseeff A. An introduction to variable and feature selection. Journal of Machine Learning Research 2003, 3:1157-1182.
12. Han, L.D., May, A.D., 1990. Artificial intelligence approaches for urban network incident detection and control. In: Traffic Control Methods, Proceedings of the Engineering Foundation Conference, New York, NY, pp. 159-176.
13. Hawas Y.E. A fuzzy-based system for incident detection in urban street networks. Transportation Research Part C 2007, 15:69-95.
14. Ishak S.S., Al-Deek H.M. Fuzzy ART neural network model for automated detection of freeway incidents. Transportation Research Record 1998, 1634:56-63.
15. ITS DECISIONS, 2001. http://www.calccit.org/.
16. Jeong M.K., Lu J.C., Huo X., Vidakovic B., Chen D. Wavelet-based data reduction techniques for process fault detection. Technometrics 2006, 48(1):26-40.
17. Jeong M.K., Lu J.C., Wang N. Wavelet-based SPC procedure for complicated functional data. International Journal of Production Research 2006, 44(4):729-744.
18. Jin X., Cheu R.L., Srinivasan D. Development and adaptation of constructive probabilistic neural network in freeway incident detection. Transportation Research Part C 2002, 10:121-147.
19. Karim A., Adeli H. Incident detection algorithm using wavelet energy representation of traffic patterns. Journal of Transportation Engineering 2002, 128(3):232-242.
20. Kuhne, R.D., 1989. Freeway control and incident detection using a stochastic continuum theory of traffic flow. In: Proc. 1st Int. Conf. on Appl. of Adv. Tech. in Transp. Eng., ASCE, New York, NY, pp. 287-292.
21. Lee S., Krammes R.A., Yen J. Fuzzy-logic-based incident detection for signalized diamond interchanges. Transportation Research Part C 1998, 6:359-377.
22. Mak C., Fan H.S.L. Enhancement of automatic incident detection algorithms for Singapore's central expressway. Transportation Research Record 2005, 1923:144-152.
23. Mak C.L., Fan H.S.L. Algorithm fusion for detecting incidents on Singapore's central expressway. Journal of Transportation Engineering 2006, 132(4):321-330.
24. Mak C.L., Fan H.S.L. Heavy flow-based incident detection algorithm using information from two adjacent detector stations. Journal of Intelligent Transportation Systems 2006, 10(1):23-31.
25. Payne H.J., Tignor S.C. Freeway incident-detection algorithms based on decision trees with states. Transportation Research Board 1978, 495:1-11.
26. Persuad B., Hall F.L. Catastrophe theory and patterns in 30-second freeway traffic data - implication for incident detection. Transportation Research Part A 1989, 23:103-113.
27. Petty K.F., Noemi 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 Part C 1996, 4(2):71-85.
28. PTV Vision, 2007. VISSIM Micro-simulation Software. The PTV America Inc.
29. Roess R.P., Prassas E.S., McShane W.R. Traffic Engineering 2004, Prentice Hall, New Jersey. third ed.
30. Roy P., Abdulhai B. GAID: genetic adaptive incident detection on freeways. Transportation Research Record 2003, 1856:96-105.
31. Samant A., Adeli H. Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis. Computer-Aided Civil and Infrastructure Engineering 2000, 15:241-250.
32. Skabardonis A., Petty K., Bertini R., Varaiya P., Noemi H., Rydzewski D. I-880 field experiment: analysis of incident data. Transportation Research Record 1997, 1603:72-79.
33. Skabardonis A., Petty K., Bertini R., Varaiya P. I-10 field experiment: incident patterns. Transportation Research Record 1999, 1683:22-30.
34. Srinivasan D., Jin X., Cheu R.L. Adaptive neural network models for automatic incident detection on freeways. Neurocomputing 2005, 64:473-496.
35. Stephanedes Y.J., Chassiakos A.P. Application of filtering techniques for incident detection. Journal of Transportation Engineering 1993, 119(1):13-26.
36. Teng H., Qi Y. Application of wavelet technique to freeway incident detection. Transportation Research Part C 2003, 11:289-308.
37. Teng H., Martinelli D.R., Taggart B.T. Incorporating neural network traffic prediction into freeway incident detection. Transportation Research Record 1999, 1679:101-111.
38. Theodoridis S., Koutroumbas K. Pattern Recognition 2006, Academic Press.
39. Thomas N.E. Multi-state and multi-sensor incident detection systems for arterial streets. Transportation Research Part C 1998, 6:337-357.
40. Vidakovic B. Statistical Modeling by Wavelets 1999, Wiley, Hoboken, NJ.
41. Wang W., Chen S., Qu G. Incident detection algorithm based on partial least squares regression. Transportation Research Part C 2008, 16:54-70.
42. Williams B., Guin A. Traffic management center use of incident detection algorithms: findings of a nationwide survey. IEEE Transactions on Intelligent Transportation Systems 2007, 8(2):351-358.
43. Yuan F., Cheu R.L. Incident detection using support vector machines. Transportation Research Part C 2003, 11:309-328.
44. Zhang K., Taylor M.A.P. Towards universal freeway incident detection algorithms. Transportation Research Part C 2006, 14:68-80.