Optimal decomposition of travel times measured by probe vehicles using a statistical traffic flow model

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2011, Pages 815-821

  Hofleitner, A ^a,b   Bayen, A ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Champs sur Marne   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SOURCE; LINK TRAVEL TIME; OPTIMAL DECOMPOSITION; PROBE VEHICLES; SIMULATION PROJECTS; TRAFFIC DYNAMICS; TRAFFIC FLOW MODELS; TRAFFIC MONITORING; TRAVEL TIME; TRAVEL TIME ALLOCATION;

INTELLIGENT SYSTEMS; OPTIMIZATION; PROBABILITY DISTRIBUTIONS; PROBES; VEHICLES; VIDEO CAMERAS;

TRAFFIC CONTROL;

EID: 83755184129     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2011.6083050     Document Type: Conference Paper

References (26)

1. Cabspotting. http://www.cabspotting.org.
2. Next Generation Simulation. http://ngsim-community.org/.
3. S. J. Agbolosu-Amison, B. Park, and I. Yun. Comparative evaluation of heuristic optimization methods in urban arterial network optimization. In 12th Intelligent Transportation Systems Conference (ITSC '09), 2009.
4. M. Bierlaire and E. Frejinger. Route choice modeling with network-free data. Transportation Research Part C: Emerging Technologies, 16(2):187-198, 2008. (Pubitemid 351194171)
5. S. P. Boyd and L. Vandenberghe. Convex optimization. Cambridge University Press, 2004.
6. C. Claudel, M. Nahoum, and A. Bayen. Minimal error certificates for detection of faulty sensors using convex optimization. In 47th Annual Allerton Conference on Communication, Control, and Computing, Allerton, IL, Sep. 2009.
7. C. Daganzo. The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory. Transportation Research B, 28(4):269-287, 1994.
8. C. Furtlehner, J. Lasgouttes, and A. de la Fortelle. A belief propagation approach to traffic prediction using probe vehicles. In 10th Intelligent Transportation Systems Conference (ITSC '07), pages 1022-1027, 2007.
9. B. Hellinga, P. Izadpanah, H. Takada, and L. Fu. Decomposing travel times measured by probe-based traffic monitoring systems to individual road segments. Transportation Research Part C, 16(6):768-782, 2008.
10. R. Herring, A. Hofleitner, P. Abbeel, and A. Bayen. Estimating arterial traffic conditions using sparse probe data. In Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, Madeira, Portugal, September 2010.
11. R. Herring, A. Hofleitner, S. Amin, T. Abou Nasr, A. Abdel Khalek, P. Abbeel, and A. Bayen. Using mobile phones to forecast arterial traffic through statistical learning. In Proceedings of the 89th Annual Meeting of the Transportation Research Board, Washington D.C., 2010.
12. A. Hofleitner, R. Herring, and A. Bayen. A hydrodynamic theory based statistical model of arterial traffic. Technical Report UC Berkeley, UCB-ITS-CWP-2011-2, http://www.eecs.berkeley.edu/~aude/papers/traffic- distributions.pdf, January 2011.
13. R. Horst and H. Tuy. Global optimization: deterministic approaches. Journal of the Operational Research Society, 45(5):595-596, 1994.
14. T. Hunter, T. Moldovan, M. Zaharia, J. Ma, S. Merzgui, M. Franklin, and A. Bayen. Scaling the mobile millennium system in the cloud. In submitted to ACM Symposium on Cloud Computing, 2011.
15. M. Lighthill and G. Whitham. On kinematic waves. II. A theory of traffic flow on long crowded roads. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 229(1178):317-345, May 1955.
16. A. J. Miller. Settings for Fixed-Cycle traffic signals. Operations Research, 14(4), December 1963.
17. X. Min, J. Hu, Q. Chen, T. Zhang, and Y. Zhang. Short-term traffic flow forecasting of urban network based on dynamic STARIMA model. In Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems (ITSC '09), 2009.
18. Q. Ou, J. W. C. Van Lint, and S. P. Hoogendoorn. TravRes: a method for high-resolution traffic speed reconstruction using GPS-based travel-times. In Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC '10), pages 1195-1201, 2010.
19. A. Prékopa. On logarithmic concave measures and functions. Acta Scientiarum Mathematicarum, 34:335-343, 1973.
20. P. Richards. Shock waves on the highway. Operations Research, 4(1):42-51, February 1956.
21. D. L. Schrank, T. J. Lomax, and Texas Transportation Institute. 2009 Urban mobility report. Citeseer, 2009.
22. A. Thiagarajan, L. Sivalingam, K. LaCurts, S. Toledo, J. Eriksson, S. Madden, and H. Balakrishnan. VTrack: Accurate, Energy-Aware Traffic Delay Estimation Using Mobile Phones. In 7th ACM Conference on Embedded Networked Sensor Systems (SenSys), Berkeley, CA, November 2009.
23. F. V. Webster. Traffic signal settings. Road Research Technical Paper No. 39, Road Research Laboratory, England, published by HMSO, 1958.
24. Z. Yang, B. Gong, and C. Lin. Travel time estimate based on floating car. In 2nd International Conference on Intelligent Computation Technology and Automation (ICICTA '09), volume 3, pages 868-871, 2009.
25. A. Zhigljavsky and A. Zilinskas. Stochastic global optimization. Springer, 2007.
26. H. J Zuylen, F. Zheng, and Y. Chen. Using probe vehicle data for traffic state estimation in signalized urban networks. Traffic Data Collection and its Standardization, pages 109-127, 2010.