Single-station algorithm using video-based data for detecting expressway incidents

Computer-Aided Civil and Infrastructure Engineering

Volumn 21, Issue 2, 2006, Pages 120-135

  Mak, Chin Long ^a   Fan, Henry S L ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; RELIABILITY; VIDEO RECORDING;

LOOP DETECTORS; SINGLE-STATION ALGORITHM; TRAFFIC MEASUREMENTS;

HIGHWAY TRAFFIC CONTROL;

ALGORITHMS; DATA REDUCTION; HIGHWAY TRAFFIC CONTROL; RELIABILITY; VIDEO RECORDING;

ACCIDENT; ALGORITHM; AUTOMATION; TRANSPORTATION DEVELOPMENT;

ASIA; EURASIA; SINGAPORE [SOUTHEAST ASIA]; SOUTHEAST ASIA;

EID: 33646002635     PISSN: 10939687     EISSN: 14678667     Source Type: Journal    
DOI: 10.1111/j.1467-8667.2005.00418.x     Document Type: Article

References (30)

1. Abdulhai, B. (1996), A Neuro-Genetic-Based Universally Transferable Freeway Incident Detection Framework. Ph.D. thesis, University of California, Irvine.
2. Abdulhai, B. & Ritchie, S. G. (1999), Enhancing the universality and transferability of freeway incident detection using a Bayesian-based neural network, Transportation Research C, 7 (5), 261-80.
3. Adeli, H. & Karim, A. (2000), Fuzzy-wavelet RBFNN model for freeway incident detection, Journal of Transportation Engineering, ASCE, 126 (6), 464-71.
4. Adeli, H. & Samant, A. (2000), An adaptive conjugate gradient neural network - wavelet model for traffic incident detection, Computer-Aided Civil and Infrastructure Engineering, 15 (4), 251-60.
5. Ahmed, S. A. & Cook, A. R. (1982), Application of time-series analysis techniques to freeway incident detection, Transportation Research Record 841, TRB, National Research Council, Washington DC, pp. 19-21.
6. Chassiakos, A. P. & Stephanedes, Y. J. (1993), Smoothing algorithms for incident detection, Transportation Research Record 1394, TRB, National Research Council, Washington DC, pp. 8-16.
7. Cheu, R. L. & Ritchie, S. G. (1995), Automated detection of lane-blocking freeway incidents using artificial neural networks, Transportation Research C, 3C (6), 371-88.
8. Coifman, B., Beymer, D., McLauchlan, P. & Malik, J. (1998), A real-time computer vision system for vehicle tracking and wide-area traffic surveillance, 78th Transportation Research Board Meeting, Washington DC.
9. Collins, J. F., Hopkins, C. M. & Martin, J. A. (1979), Automatic Incident Detection - TRRL Algorithms HIOCC and PATREG, Supplementary Report, 526, Transport and Road Research Laboratory, Crowthorne, Berkshire, UK.
10. Cook, A. R. & Cleveland, D. E. (1974), Detection of freeway capacity-reducing incidents by traffic-stream measurements, Transportation Research Record 495, TRB, National Research Council, Washington DC, pp. 1-11.
11. Corby, M. J. & Saccomanno, F. F. (1997), Analysis of freeway accident detection, Transportation Research Record 1603, TRB, National Research Council, Washington DC, pp. 80-89.
12. Dia, H. (1996), Artificial Neural Networks for Automated Freeway Incident Detection. Ph.D. thesis, Monash University.
13. Dia, H. & Rose, G. (1997), Development and evaluation of neural network freeway incident detection models using field data, Transportation Research C, 5C (5), 313-31.
14. Dudek, C. L., Messer, C. J. & Nuckles, N. B. (1974), Incident detection on urban freeways, Transportation Research Record 495, TRB, National Research Council, Washington DC, pp. 12-24.
15. Hall, F. L., Shi, Y. & Atala, G. (1993), On-line testing of the McMaster incident detection algorithm under recurrent congestion, Transportation Research Record 1394, TRB, National Research Council, Washington DC, pp. 1-7.
16. Ishak, S. S. & Al-Deek, H. (1999), Performance of automatic ANN-based incident detection on freeways, Journal of Transportation Engineering, ASCE, 125 (4), 281-90.
17. Jin, X., Cheu, R. L. & Srinivasan, D. (2002), Development and adaptation of constructive probabilistic neural network in freeway incident detection, Transportation Research C, 10, 121-47.
18. Karim, A. & Adeli, H. (2002a), Comparison of fuzzy-wavelet radial basis function neural network freeway incident detection model with California algorithm, Journal of Transportation Engineering, ASCE, 128 (1), 21-30.
19. Karim, A. & Adeli, H. (2002b), Incident detection algorithm using wavelet energy representation of traffic patterns, Journal of Transportation Engineering, ASCE, 128 (3), 232-42.
20. Karim, A. & Adeli, H. (2003), Fast automatic incident detection on urban and rural freeways using wavelet energy algorithm, Journal of Transportation Engineering, ASCE, 129 (1), 57-68.
21. Levin, M. & Krause, G. M. (1978), Incident detection: A Bayesian approach, Transportation Research Record 682, TRB, National Research Council, Washington DC, pp. 52-58.
22. Mak, C. L. & Fan, H. S. L. (2004), Analysis of incidents on Singapore's Central Expressway, Road & Transport Research, 13 (1), 51-62.
23. Mak, C. L. & Fan, H. S. L. (2005), Transferability of expressway incident detection algorithms to Singapore and Melbourne, Journal of Transportation Engineering, ASCE, 131 (2), 101-11.
24. Michalopoulos, P. G. & Anderson, C. A. (1995), Costs and benefits of vision-based, wide-area detection in freeway applications, Transportation Research Record 1494, TRB, National Research Council, Washington DC, pp. 40-47.
25. Michalopoulos, P. G., Jacobson, R. D., Anderson, C. A. & DeBruycker, T. B. (1993), Automatic incident detection through video image processing, Traffic Engineering & Control, 34 (2), 66-74.
26. Oh, J. & Leonard II, J. D. (2003), Vehicle detection using video image processing system: Evaluation of PEEK VideoTrak, Journal of Transportation Engineering, Technical Notes, ASCE, 129 (4), 462-65.
27. Payne, H. J., Hwelfenbein, E. D. & Knobel, H. C. (1976), Development and Testing of Incident Detection Algorithms, Vol. 2: Research Methodology and Results, Report No. FHWA-RD-76-20.
28. Samant, A. & Adeli, H. (2000), Feature extraction for traffic incident detection using wavelet transform and linear discriminant analysis, Computer-Aided Civil and Infrastructure Engineering, 15 (4), 241-50.
29. Stephanedes, Y. J. & Hourdakis, J. (1996), Transferability of freeway incident detection algorithms, Transportation Research Record 1554, TRB, National Research Council, Washington DC, pp. 184-95.
30. Weil, R., Wootton, J. & Garcia-Ortiz, A. (1998), Traffic incident detection: Sensors and algorithms, Mathematical and Computer Modelling, 27 (9-11), 257-91.