Applications of wavelet transform for analysis of freeway traffic: Bottlenecks, transient traffic, and traffic oscillations

Transportation Research Part B: Methodological

Volumn 45, Issue 2, 2011, Pages 372-384

  Zheng, Zuduo ^a   Ahn, Soyoung ^a   Chen, Danjue ^b   Laval, Jorge ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b Georgia Institute of Technology   (United States)

Author keywords

Freeway bottleneck; Traffic oscillations; Transition; Wavelet transform

Indexed keywords

BAR CODES; VEHICLES; WAVELET ANALYSIS;

BOTTLENECK ACTIVATION; FREEWAY BOTTLENECKS; IMPORTANT FEATURES; OSCILLATION AMPLITUDE; TRANSITION; VEHICLE TO VEHICLES; VEHICLE TRAJECTORIES; WAVELET BASED ENERGY;

WAVELET TRANSFORMS;

ARRIVAL TIME; MOTORWAY; ROAD TRANSPORT; SPATIOTEMPORAL ANALYSIS; TRAFFIC CONGESTION; WAVELET ANALYSIS;

EID: 78650812584     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2010.08.002     Document Type: Article

References (39)

1. Adeli H., Karim A. Wavelets in Intelligent Transportation Systems 2005, Wiley.
2. Adeli H., Jiang X. Intelligent Infrastructure: Neural Networks, Wavelets, and Chaos Theory for Intelligent Transportation Systems and Smart Structures 2008, CRC Press.
3. Adeli H., Samant A. An adaptive conjugate gradient neural network-wavelet model for traffic incident detection. Computer-Aided Civil and Infrastructure Engineering 2000, 15(4):251-260.
4. Adeli H., Ghosh-Dastidar S. Mesoscopic-wavelet freeway work zone flow and congestion feature extraction model. Journal of Transportation Engineering 2004, 130(1):94-103.
5. Addison P.S. The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance 2002, Taylor & Francis.
6. Ahn S., Cassidy M.J. Freeway traffic oscillations and vehicle lane-change maneuvers. International Symposium of Transportation and Traffic Theory 2007, 691-710. Elsevier, Amsterdam. R.E. Allsop, M.G.H. Bell, B.G. Heydecker (Eds.).
7. Ban X.J., Chu L., Benouar H. Bottleneck identification and calibration for corridor management planning. Transportation Research Record: Journal of the Transportation Research Board 2007, 1999:40-53.
8. Boto-Giralda D., Díaz-Pernas F., Gonzlez-Ortega D., Díez-Higuera J., Antón-Rodríguez M., Martínez-Zarzuela M., Torre-Díez I. Wavelet-based denoising for traffic volume time series forecasting with self-organizing neural networks. Computer-Aided Civil and Infrastructure Engineering 2010, 25(7):530-545.
9. Briggs W.M., Levine R.A. Wavelets and field forecast verification. Monthly Weather Review 1997, 125(6):1329-1341.
10. Cassidy M.J., Bertini R.L. Some traffic features at freeway bottlenecks. Transportation Research Part B 1999, 33(1):25-42.
11. Challis R.E., Kitney R.I. Biomedical signal processing (in four parts). Part 1 time-domain methods. Medical & Biological Engineering & Computing 1990, 28(6):509-524.
12. Chen C., Skabardonis A., Varaiya P. Systematic identification of freeway bottlenecks. Transportation Research Record: Journal of the Transportation Research Board 2004, 1867:46-52.
13. Coifman B. Improved velocity estimation using single loop detectors. Transportation Research Part A 2001, 35(10):863-880.
14. Crovella, M.E., Kolaczyk, E.D., 2003. Graph wavelets for spatial traffic analysis. In: Proceedings of IEEE Infocom 2003, San Francisco, California.
15. Daubechies I. Ten lectures on wavelets. Society for Industrial and Applied Mathematics (SIAM) 1992.
16. Donoho D.L. Unconditional bases are optimal bases for data compression and for statistical estimation. Applied and Computational Harmonic Analysis 1993, 1(1):100-115.
17. Farge M. Wavelet transforms and their applications to turbulence. Annual Review of Fluid Mechanics 1992, 24:395-458.
18. Ghosh-Dastidar S., Adeli H. Wavelet-clustering-neural network model for freeway incident detection. Computer-Aided Civil and Infrastructure Engineering 2003, 18(5):325-338.
19. Ghosh-Dastidar S., Adeli H. Neural network-wavelet microsimulation model for delay and queue length estimation at freeway work zones. Journal of Transportation Engineering 2006, 132(4):331-341.
20. Jiang X., Adeli H. Wavelet packet-autocorrelation function method for traffic flow pattern analysis. Computer-Aided Civil and Infrastructure Engineering 2004, 19(5):324-337.
21. Jiang X., Adeli H. Dynamic wavelet neural network model for traffic flow forecasting. Journal of Transportation Engineering 2005, 131(10):771-779.
22. Karim A., Adeli H. Incident detection algorithm using wavelet energy representation of traffic patterns. Journal of Transportation Engineering 2002, 128(3):232-242.
23. Karim A., Adeli H. Fast automatic incident detection on urban and rural freeways using wavelet energy algorithm. Journal of Transportation Engineering 2003, 129(1):57-68.
24. Katul G., Vidakovic B. The partitioning of attached and detached eddy motion in the atmospheric surface layer using Lorentz wavelet filtering. Boundary-Layer Meteorology 1996, 77(2):153-172.
25. Kockelman K.M., Ma J. Freeway speeds and speed variations preceding crashes, within and across lanes. Journal of the Transportation Research Forum 2007, 46(1):43-62.
26. Kwon J., Varaiya P., Skabardonis A. Estimation of truck traffic volume from single loop detectors with lane-to-lane speed correlation. Transportation Research Record: Journal of the Transportation Research Board 2003, 1856:106-117.
27. Leon C. Time-Frequency Analysis: Theory and Applications 1995, Prentice Hall.
28. Li X., Peng F., Ouyang Y. Measurement and estimation of traffic oscillation properties. Transportation Research Part B 2010, 44(1):1-14.
29. Mallat S.G. A Wavelet Tour of Signal Processing 1999, Academic Press.
30. Mauch M., Cassidy M.J. Freeway traffic oscillations: observations and predictions. International Symposium of Transportation and Traffic Theory 2002, Pergamon-Elsevier, Oxford, UK. M. Taylor (Ed.).
31. Meyer Y., Salinger D. Wavelets and Operators 1995, Cambridge University Press.
32. Muñoz J.C., Daganzo C.F. Structure of the transition zone behind freeway queues. Transportation Science 2003, 37(3):312-329.
33. NGSIM, 2010. Next Generation Simulation. <> (08.08.10). http://ngsim-community.org/.
34. PeMS, 2008. Freeway performance measurement system. <> (08.10.08). http://pems.eecs.berkeley.edu/.
35. PORTAL, 2009. Portland oregon regional transportation archive listing. <> (07.01.08). http://portal.its.pdx.edu/.
36. 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(4):241-250.
37. Samant A., Adeli H. Enhancing neural network incident detection algorithms using wavelets. Computer-Aided Civil and Infrastructure Engineering 2001, 16(4):239-245.
38. Sarvi M., Kuwahara M., Ceder A. Observing freeway ramp merging phenomena in congested traffic. Journal of Advanced Transportation 2007, 41(2):145-170.
39. Xie Y., Zhang Y., Ye Z. Short-term traffic volume forecasting using Kalman filter with discrete wavelet decomposition. Computer-Aided Civil and Infrastructure Engineering 2007, 22(5):326-334.