Freeway traffic oscillations: Microscopic analysis of formations and propagations using Wavelet Transform

Transportation Research Part B: Methodological

Volumn 45 `, Issue 9, 2011, Pages 1378-1388

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

^a ARIZONA STATE UNIVERSITY   (United States)

^b GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^c QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

Car following behavior; Lane changing maneuver; Stop and go traffic; Traffic oscillations; Wavelet Transform

Indexed keywords

CRACK PROPAGATION;

CAR-FOLLOWING BEHAVIOR; LANE CHANGING MANEUVER; MICROSCOPIC ANALYSIS; MICROSCOPIC FEATURES; OSCILLATION PROPAGATION; REASONABLE ACCURACY; STOP-AND-GO TRAFFIC; VEHICLE TRAJECTORIES;

WAVELET TRANSFORMS;

ACCURACY ASSESSMENT; NUMERICAL MODEL; PARAMETERIZATION; TRAFFIC MANAGEMENT; TRANSFORM; WAVE PROPAGATION; WAVELET ANALYSIS;

EID: 83555176428     PISSN: 01912615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trb.2011.05.012     Document Type: Article

References (26)

1. Addison P.S. The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance 2002, Taylor & Francis.
2. Ahn, S., 2005. Formation and Spatial Evolution of Traffic Oscillations. Doctoral dissertation. Department of Civil and Environment Engineering, University of California, Berkeley.
3. Ahn S., Cassidy M.J. Freeway traffic oscillations and vehicle lane-change maneuvers. Proceedings of the 17th International Symposium on Transportation and Traffic Theory 2007, 691-710. Amsterdam, Elsevier. R.E. Allsop, M.G.H. Bell, B. Heydecker (Eds.).
4. Del Castillo J.M. Propagation of perturbations in dense traffic flow: a model and its implications. Transportation Research Part B 2001, 35(4):367-389.
5. Edie, L.C., Baverez, E., 1965. Generation and propagation of stop-start traffic waves. In: Edie, L.C., Herman, R., Rothery, R.W. (Eds.), Vehicular Traffic Science: Proceedings of the 3rd International Symposium on the Theory of Traffic Flow, New York, pp. 26-37.
6. FHWA, 2008. The Next Generation Simulation (NGSIM). (05/08, 2008). http://www.ngsim.fhwa.dot.gov/.
7. Fugal D. Conceptual Wavelets in Digital Signal Processing: An in-depth, Practical Approach for the Non-mathematician 2009, Space and Signals Technical Publishing.
8. Herman R., Montroll E.W., Potts R.B., Rothery R.W. Traffic dynamics: analysis of stability in car following. Operations Research 1959, 7(1):86-106.
9. Kerner B., Rehborn H. Experimental features and characteristics of traffic jams. Physical Review E 1996, 53(2):1297-1300.
10. Kim T., Zhang H. A stochastic wave propagation model. Transportation Research Part B 2008, 42(7-8):619-634.
11. Laval J.A., Leclercq L. A mechanism to describe the formation and propagation of stop-and-go waves in congested freeway traffic. Philosophical Transactions of the Royal Society A: Mathematical Physical and Engineering Sciences 2010, 368(1928):4519-4541.
12. Li X., Peng F., Ouyang Y. Measurement and estimation of traffic oscillation properties. Transportation Research Part B 2010, 44(1):1-14.
13. Lu, X., Skabardonis, A., 2007. Freeway traffic shockwave analysis: Exploring the NGSIM trajectory data. In: Proceedings of the 86th TRB Annual Meeting, Washington, DC, January 2007, TRB Paper #07-3016 (CD-ROM).
14. Mallat S.G. A Wavelet Tour of Signal Processing: The Sparse Way 2009, Academic Press. third edition.
15. Mauch M., Cassidy M.J. Freeway traffic oscillations: observations and predictions. Proceedings of the 15th International Symposium on Transportation and Traffic Theory 2002, 653-674. Pergamon-Elsevier, Oxford, UK. M.A.P. Taylor (Ed.).
16. Newell G.F. A simplified theory of kinematic waves in highway traffic. Part I: General theory. Transportation Research Part B 1993, 27(4):281-287.
17. Newell G.F. A simplified car following theory: a lower order model. Transportation Research Part B 2002, 36(3):195-205.
18. Orosz G., Wilson R.E., Szalai R., Stépán G. Exciting traffic jams: nonlinear phenomena behind traffic jam formation on highways. Physical Review E 2009, 80(4):046205.
19. Schoenhof M., Helbing D. Empirical features of congested traffic states and their implications for traffic modeling. Transportation Science 2007, 41(2):135-166.
20. Smilowitz K., Daganzo C.F., Cassidy M.J., Bertini R.L. Some observations of highway traffic in long queues. Transportation Research Record 1999, 1678:225-233.
21. Sugiyama, Y., Nakayama, A., Fukui, M., Hasebe, K., Kikuchi, M., Nishinari, K., Tadaki, S., Yukawa, S., 2003. Observation, theory and experiment for freeway traffic as physics of many-body system. In: Schreckenberg, M., Bovy, P., Hoogendoorn, S., Wolf, D.E. (Eds.), Traffic and Granular Flow '03, pp. 45-59.
22. Thiemann C., Treiber M., Kesting A. Estimating acceleration and lane-changing dynamics based on NGSIM trajectory data. Transportation Research Record: Journal of the Transportation Research Board 2008, 2088:90-101.
23. Yeo H., Skabardonis A. Understanding stop-and-go traffic in view of asymmetric traffic theory. Proceedings of the 18th International Symposium on Transportation and Traffic Theory 2009, 99-116. Springer, Hong Kong. W. Lam, S.C. Wong, H.K. Lo (Eds.).
24. Zheng Z., Ahn S., Monsere C.M. Impact of traffic oscillations on freeway crash occurrences. Accident Analysis and Prevention 2010, 42(2):626-636.
25. Zheng Z., Ahn S., Chen D., Laval J.A. Applications of wavelet transform for analysis of freeway traffic: bottlenecks, transient traffic, and traffic oscillations. Transportation Research Part B 2011, 45(2):372-384.
26. Zheng, Z., Ahn, S., Chen, D., Laval, J.A., submitted for publication. The impact of lane-changing on the immediate follower: anticipation, relaxation, and behavioral change.