Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 803647, 13 pages
http://dx.doi.org/10.1155/2014/803647
Research Article

A Simulation-Based Framework for the Cooperation of VMS Travel Guidance and Traffic Signal Control

1Department of Civil Engineering, Tsinghua University, 315 Shanheng He Building, Beijing 100084, China
2Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, China

Received 14 January 2014; Revised 19 May 2014; Accepted 19 May 2014; Published 16 June 2014

Academic Editor: Wuhong Wang

Copyright © 2014 Meng Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. M. Papageorgiou, C. Diakaki, V. Dinopoulou, A. Kotsialos, and Y. Wang, “Review of road traffic control strategies,” Proceedings of the IEEE, vol. 91, no. 12, pp. 2043–2065, 2003. View at Publisher · View at Google Scholar · View at Scopus
  2. N. B. Hounsell, B. P. Shrestha, J. Piao, and M. McDonald, “Review of urban traffic management and the impacts of new vehicle technologies,” IET Intelligent Transport Systems, vol. 3, no. 4, pp. 419–428, 2009. View at Publisher · View at Google Scholar · View at Scopus
  3. A. C. Sutandi, “Evaluation of the impacts of VMS on traffic performance measures in an urban area in Indonesia,” Civil Engineering Dimension, vol. 10, no. 1, pp. 28–34, 2008. View at Google Scholar
  4. S. Peeta, J. L. Ramos, and R. Pasupathy, “Content of variable message signs and on-line driver behavior,” Transportation Research Record, vol. 1725, no. 1, pp. 102–108, 2000. View at Google Scholar · View at Scopus
  5. P. Mirchandani and L. Head, “A real-time traffic signal control system: architecture, algorithms, and analysis,” Transportation Research C: Emerging Technologies, vol. 9, no. 6, pp. 415–432, 2001. View at Publisher · View at Google Scholar · View at Scopus
  6. R. E. Allsop, “Some possibilities for using traffic control to influence trip distribution and route choice,” Transportation and Traffic Theory: Proceedings, vol. 6, pp. 345–373, 1974. View at Google Scholar
  7. M. J. Smith, “The existence, uniqueness and stability of traffic equilibria,” Transportation Research B, vol. 13, no. 4, pp. 295–304, 1979. View at Google Scholar · View at Scopus
  8. M. J. Smith, “The existence and calculation of traffic equilibria,” Transportation Research B, vol. 17, no. 4, pp. 291–303, 1983. View at Google Scholar · View at Scopus
  9. M. O. Ghali and M. J. Smith, “A model for the dynamic system optimum traffic assignment problem,” Transportation Research B, vol. 29, no. 3, pp. 155–170, 1995. View at Google Scholar · View at Scopus
  10. N. H. Gartner and C. Stamatiadis, “Integration of dynamic traffic assignment with real-time traffic adaptive control system,” Transportation Research Record, vol. 1644, no. 1, pp. 150–156, 1998. View at Google Scholar · View at Scopus
  11. A. S. Abdelfatah and H. S. Mahmassani, “System optimal time-dependent path assignment and signal timing in traffic network,” Transportation Research Record, vol. 1645, no. 1, pp. 185–193, 1998. View at Google Scholar · View at Scopus
  12. S. Lu, X. Liu, and Z. Yang, “Study on consistent and integrated traffic management model,” Journal of Wuhan University of Technology, Transportation science and Engineering, vol. 32, no. 2, pp. 251–254, 2008 (Chinese). View at Google Scholar · View at Scopus
  13. H. Cui, The Coordination Strategy Between Signal Control and VMS and Optimization for information Publishing, Beijing Jiaotong University, Beijing, China, 2011 (Chinese).
  14. C. Lin, B. Gong, D. Zhao, and X. Liu, “Traffic control and VMS collaborative technique in sudden disaster,” Journal of Traffic and Transportation Engineering, vol. 12, no. 6, pp. 104–110, 2012 (Chinese). View at Google Scholar · View at Scopus
  15. J. J. Cheng and P. E. Firmin, “Perception of VMS effectiveness: a British and Canadian perspective,” in Proceedings of the 12th International Conference on Road Transport Information and Control (RTIC '04), pp. 175–185, London, UK, April 2004. View at Scopus
  16. M. Kraan, N. van der Zijpp, and B. Tuter, “Evaluating network wide effects of VMS's in the Netherlands,” in Proceedings of the 78th Annual Meeting of the Transportation Research Board, Washington, DC, USA, 1999.
  17. S. H. Melouk, B. B. Keskin, C. Armbrester, and M. Anderson, “A simulation optimization-based decision support tool for mitigating traffic congestion,” Journal of the Operational Research Society, vol. 62, no. 11, pp. 1971–1982, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. C. Osorio, Mitigating network congestion: analytical models, optimization methods and their applications [Ph.D. dissertation], École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2010.
  19. M. Melanie, An Introduction to Genetic Algorithms, 3, MIT Press, Cambridge, Mass, USA, 5th edition, 1999.
  20. N. H. Gartner and D. Rahul, “Dynamic programming approach for arterial signal optimization,” in Proceedings of the 92nd Annual Meeting of the Transportation Research Board, No. 13-0177, 2013.
  21. B. B. Park and J. Kwak, “Calibration and validation of TRANSIMS microsimulator for an urban arterial network,” KSCE Journal of Civil Engineering, vol. 15, no. 6, pp. 1091–1100, 2011. View at Publisher · View at Google Scholar · View at Scopus
  22. L. Smith, R. Beckman, and K. Baggerly, “TRANSIMS: transportation analysis and simulation system,” Tech. Rep. LA-UR-95-1641, Los Alamos National Laboratory (LANL), Los Alamos, NM, USA, 1995. View at Google Scholar
  23. C. S. Perone, “Pyevolve: a Python open-source framework for genetic algorithms,” ACM SIGEVOlution, vol. 4, no. 1, pp. 12–20, 2009. View at Google Scholar
  24. A. Hagberg, P. Swart, and D. S. Chult, “Exploring network structure, dynamics, and function using NetworkX,” Tech. Rep. LA-UR-08-05495, LA-UR-08-5495, Los Alamos National Laboratory (LANL), Los Alamos, NM, USA, 2008. View at Google Scholar