Table of Contents Author Guidelines Submit a Manuscript
Journal of Advanced Transportation
Volume 2019, Article ID 8151582, 11 pages
https://doi.org/10.1155/2019/8151582
Research Article

Modified Traffic Flow Model with Connected Vehicle Microscopic Data for Proactive Variable Speed Limit Control

1Transportation Department, Fuzhou University, Fuzhou, Fujian, China
2Department of Civil Engineering, Ryerson University, Toronto, Ontario, Canada

Correspondence should be addressed to Jie Fang; nc.ude.uzf@eijgnaf

Received 16 February 2019; Revised 16 April 2019; Accepted 22 May 2019; Published 10 June 2019

Guest Editor: Md. A. S. Kamal

Copyright © 2019 Jie Fang 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. H. Dai, E. Yao, N. Lu et al., “Freeway network connective reliability analysis based complex network approach,” Procedia Engineering, vol. 137, pp. 372–381, 2016. View at Google Scholar
  2. N. Cui, B. Chen, K. Zhang, Y. Zhang, X. Liu, and J. Zhou, “Effects of route guidance strategies on traffic emissions in intelligent transportation systems,” Physica A: Statistical Mechanics and its Applications, vol. 513, pp. 32–44, 2019. View at Publisher · View at Google Scholar
  3. Y. E. Hawas, G. Thandavarayan, B. Basheerudeen, and M. Sherif, “Testbed evaluation of real-time route guidance in inter-vehicular communication urban networks,” IEEE Access, vol. 7, pp. 1470–1485, 2019. View at Publisher · View at Google Scholar
  4. A. Janota, P. Holečko, M. Gregor, and M. Hruboš, “Ramp-metering algorithms evaluated within simplified conditions,” Journal of Civil & Environmental Engineering, vol. 13, no. 2, pp. 112–119, 2017. View at Publisher · View at Google Scholar
  5. Y. Li, N. Duan, and X. Yang, “Analysis balance parameter of optimal ramp metering,” IOP Conference Series: Materials Science and Engineering, vol. 359, no. 1, article 012007, 2018. View at Publisher · View at Google Scholar
  6. M. Papageorgiou, E. Kosmatopoulos, and I. Papamichail, “Effects of variable speed limits on motorway traffic flow,” Transportation Research Record, no. 2047, pp. 37–48, 2008. View at Google Scholar · View at Scopus
  7. R. Jiang, A. B. Lucky, and E. Chung, “Calibration and operational analysis of variable speed limits for high flow conditions,” in Proceedings of the IEEE Forum on Integrated and Sustainable Transportation Systems, FISTS '11, pp. 221–226, 2011. View at Scopus
  8. M. Islam, M. Hadiuzzaman, J. Fang, T. Qiu, and K. El-Basyouny, “Assessing mobility and safety impacts of a variable speed limit control strategy,” Transportation Research Record, vol. 2364, pp. 1–11, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. Z. Xu, T. Wei, S. Easa, X. Zhao, and X. Qu, “Modeling relationship between truck fuel consumption and driving behavior using data from internet of vehicles,” Computer-Aided Civil and Infrastructure Engineering, vol. 33, no. 3, pp. 209–219, 2018. View at Publisher · View at Google Scholar · View at Scopus
  10. M. Papageorgiou, J.-M. Blosseville, and H. Hadj-Salem, “Modelling and real-time control of traffic flow on the southern part of boulevard peripherique in Paris: Part I: modelling,” Transportation Research Part A: General, vol. 24, no. 5, pp. 345–359, 1990. View at Google Scholar · View at Scopus
  11. C. Lee, B. Hellinga, and F. Saccomanno, “Real-time crash prediction model for application to crash prevention in freeway traffic,” Transportation Research Record: Journal of the Transportation Research Board, no. 1840, pp. 67–77, 2003. View at Google Scholar · View at Scopus
  12. C. Lee, B. Hellinga, and F. Saccomanno, “Evaluation of variable speed limits to improve traffic safety,” Transportation Research Part C: Emerging Technologies, vol. 14, no. 3, pp. 213–228, 2006. View at Publisher · View at Google Scholar · View at Scopus
  13. R. C. Carlson, I. Papamichail, and M. Papageorgiou, “Local feedback-based mainstream traffic flow control on motorways using variable speed limits,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1261–1276, 2011. View at Publisher · View at Google Scholar · View at Scopus
  14. R. C. Carlson, I. Papamichail, and M. Papageorgiou, “Comparison of local feedback controllers for the mainstream traffic flow on freeways using variable speed limits,” Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, vol. 17, no. 4, pp. 268–281, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. G.-R. Iordanidou, I. Papamichail, C. Roncoli, and M. Papageorgiou, “A feedback-based approach for mainstream traffic flow control of multiple bottlenecks on motorways,” IFAC Proceedings Volumes, vol. 47, no. 3, pp. 11344–11349, 2014. View at Google Scholar · View at Scopus
  16. G.-R. Iordanidou, C. Roncoli, I. Papamichail, and M. Papageorgiou, “Feedback-based mainstream traffic flow control for multiple bottlenecks on motorways,” IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 2, pp. 610–621, 2015. View at Google Scholar · View at Scopus
  17. M. Burger, M. Van Den Berg, A. Hegyi, B. De Schutter, and J. Hellendoorn, “Considerations for model-based traffic control,” Transportation Research Part C: Emerging Technologies, vol. 35, pp. 1–19, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. B. Khondaker and L. Kattan, “Variable speed limit: a microscopic analysis in a connected vehicle environment,” Transportation Research Part C: Emerging Technologies, vol. 58, pp. 146–159, 2015. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Zhang, A. Boitor, and P. Ioannou, “Design and evaluation of a roadway controller for freeway traffic,” in Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems '05, pp. 543–548, IEEE, 2005. View at Scopus
  20. S. K. Zegeye, B. De Schutter, H. Hellendoorn, and E. Breunesse, “Reduction of travel times and traffic emissions using model predictive control,” in Proceedings of the 2009 American Control Conference, ACC '09, pp. 5392–5397, IEEE, 2009. View at Scopus
  21. A. H. Ghods, L. Fu, and A. Rahimi-Kian, “An efficient optimization approach to real-time coordinated and integrated freeway traffic control,” IEEE Transactions on Intelligent Transportation Systems, vol. 11, no. 4, pp. 873–884, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. C. F. Daganzo, “The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory,” Transportation Research Part B: Methodological, vol. 28, no. 4, pp. 269–287, 1994. View at Publisher · View at Google Scholar · View at Scopus
  23. M. Hadiuzzaman, T. Z. Qiu, and X.-Y. Lu, “Variable speed limit control design for relieving congestion caused by active bottlenecks,” Journal of Transportation Engineering, vol. 139, no. 4, pp. 358–370, 2012. View at Publisher · View at Google Scholar · View at Scopus
  24. M. Hadiuzzaman and T. Z. Qiu, “Cell transmission model based variable speed limit control for freeways,” Canadian Journal of Civil Engineering, vol. 40, no. 1, pp. 46–56, 2013. View at Publisher · View at Google Scholar · View at Scopus
  25. Y. Han, A. Hegyi, Y. Yuan, S. Hoogendoorn, M. Papageorgiou, and C. Roncoli, “Resolving freeway jam waves by discrete first-order model-based predictive control of variable speed limits,” Transportation Research Part C: Emerging Technologies, vol. 77, pp. 405–420, 2017. View at Publisher · View at Google Scholar · View at Scopus
  26. A. Muralidharan and R. Horowitz, “Computationally efficient model predictive control of freeway networks,” Transportation Research Part C: Emerging Technologies, vol. 58, pp. 532–553, 2015. View at Publisher · View at Google Scholar · View at Scopus
  27. A. Hegyi, Model Predictive Control for Integrating Traffic Control Measures, TRAIL Research School, Netherlands, 2004.
  28. A. Hegyi, B. de Schutter, and J. Hellendoorn, “Optimal coordination of variable speed limits to suppress shock waves,” IEEE Transactions on Intelligent Transportation Systems, vol. 6, no. 1, pp. 102–112, 2005. View at Publisher · View at Google Scholar · View at Scopus
  29. A. Hegyi, B. De Schutter, and H. Hellendoorn, “Model predictive control for optimal coordination of ramp metering and variable speed limits,” Transportation Research Part C: Emerging Technologies, vol. 13, no. 3, pp. 185–209, 2005. View at Publisher · View at Google Scholar · View at Scopus
  30. R. C. Carlson, I. Papamichail, M. Papageorgiou, and A. Messmer, “Optimal motorway traffic flow control involving variable speed limits and ramp metering,” Transportation Science, vol. 44, no. 2, pp. 238–253, 2010. View at Publisher · View at Google Scholar · View at Scopus
  31. R. Sun, J. Hu, X. Xie, and Z. Zhang, “Variable speed limit design to relieve traffic congestion based on cooperative vehicle infrastructure system,” Procedia: Social and Behavioral Sciences, vol. 138, pp. 427–438, 2014. View at Publisher · View at Google Scholar
  32. R. Yu and M. Abdel-Aty, “An optimal variable speed limits system to ameliorate traffic safety risk,” Transportation Research Part C: Emerging Technologies, vol. 46, pp. 235–246, 2014. View at Publisher · View at Google Scholar · View at Scopus
  33. J. Cao, D. Hu, Y. Luo, T. Z. Qiu, and Z. Ma, “Exploring the impact of a coordinated variable speed limit control on congestion distribution in freeway,” Journal of Traffic and Transportation Engineering, vol. 2, no. 3, pp. 167–178, 2015. View at Publisher · View at Google Scholar