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Journal of Advanced Transportation
Volume 2019, Article ID 7481489, 14 pages
https://doi.org/10.1155/2019/7481489
Research Article

Distributed Cooperative Backpressure-Based Traffic Light Control Method

1School of Control Science and Engineering, Shandong University, Jinan 250061, China
2School of Information and Engineering, Shandong Yingcai University, Jinan 250104, China

Correspondence should be addressed to Licai Yang; nc.ude.uds@clgnay

Received 6 November 2018; Accepted 18 February 2019; Published 5 March 2019

Academic Editor: Eneko Osaba

Copyright © 2019 Shenxue Hao 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. D. I. Robertson, “TRANSYT: a traffic network study tool,” Tech. Rep. LR-253, Road Res. Lab., Berkshire, UK, 1969. View at Google Scholar
  2. J. D. C. Little, M. D. Kelson, and N. H. Gartner, “MAXBAND: a program for setting signal on arteries and triangular network,” Transportation Research Record, no. 795, pp. 40–46, 1981. View at Google Scholar · View at Scopus
  3. S. Araghi, A. Khosravi, and D. Creighton, “A review on computational intelligence methods for controlling traffic signal timing,” Expert Systems with Applications, vol. 42, no. 3, pp. 1538–1550, 2015. View at Publisher · View at Google Scholar · View at Scopus
  4. B. Cesme and P. G. Furth, “Self-organizing traffic signals using secondary extension and dynamic coordination,” Transportation Research Part C: Emerging Technologies, vol. 48, pp. 1–15, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. P. B. Hunt, D. I. Robertson, R. D. Bretherton, R. Winton, and L. Scoot, “A traffic responsive method of coordinating signals,” Tech. Rep. LR1014, TRRL, Crowthorne, UK, 1981. View at Google Scholar
  6. A. G. Sims, “The Sydney coordinated adaptive traffic system,” in Proceedings of the Engineering Foundation Conference on Research Directions in Computer Control of Urban Traffic Systems, pp. 12–27, Calif, USA, 1979.
  7. H. M. Abdelghaffar, H. Yang, and H. A. Rakha, “Isolated traffic signal control using a game theoretic framework,” in Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016, pp. 1496–1501, Rio de Janeiro, Brazil, November 2016. View at Scopus
  8. Q. Wu, B. Li, and K. Chen, “A multi-agent traffic control model based on distributed system,” Sensors & Transducers, vol. 173, pp. 60–67, 2014. View at Google Scholar
  9. D. McKenney and T. White, “Distributed and adaptive traffic signal control within a realistic traffic simulation,” Engineering Applications of Artificial Intelligence, vol. 26, no. 1, pp. 574–583, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. A. Jovanović, M. Nikolić, and D. Teodorović, “Area-wide urban traffic control: a bee colony optimization approach,” Transportation Research Part C: Emerging Technologies, vol. 77, pp. 329–350, 2017. View at Publisher · View at Google Scholar · View at Scopus
  11. J. Jin and X. Ma, “Hierarchical multi-agent control of traffic lights based on collective learning,” Engineering Applications of Artificial Intelligence, vol. 68, pp. 236–248, 2018. View at Publisher · View at Google Scholar · View at Scopus
  12. P. Shao, L. Wang, W. Qian, Q.-G. Wang, and X.-H. Yang, “A distributed traffic control strategy based on cell-transmission model,” IEEE Access, vol. 6, pp. 10771–10778, 2018. View at Publisher · View at Google Scholar · View at Scopus
  13. L. Wang, C. Li, M. Z. Q. Chen, Q.-G. Wang, and F. Tao, “Connectivity-based accessibility for public bicycle sharing systems,” IEEE Transactions on Automation Science and Engineering, vol. 99, no. 4, pp. 1–12, 2018. View at Google Scholar
  14. T. Wongpiromsarn, T. Uthaicharoenpong, Y. Wang, E. Frazzoli, and D. Wang, “Distributed traffic signal control for maximum network throughput,” in Proceedings of the 2012 15th International IEEE Conference on Intelligent Transportation Systems, ITSC 2012, pp. 588–595, Anchorage, Alaska, USA, September 2012. View at Scopus
  15. Z. Jiao, B. Zhang, C. Li, and H. T. Mouftah, “Backpressure-based routing and scheduling protocols for wireless multihop networks: a survey,” IEEE Wireless Communications Magazine, vol. 23, no. 1, pp. 102–110, 2016. View at Publisher · View at Google Scholar · View at Scopus
  16. P. Varaiya, “Max pressure control of a network of signalized intersections,” Transportation Research Part C: Emerging Technologies, vol. 36, pp. 177–195, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Gregoire, E. Frazzoli, A. De La Fortelle, and T. Wongpiromsarn, “Back-pressure traffic signal control with unknown routing rates,” in Proceedings of the 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014, vol. 47, pp. 11332–11337, South Africa, August 2014. View at Scopus
  18. J. Gregoire, S. Samaranayake, and E. Frazzoli, “Back-pressure traffic signal control with partial routing control,” in Proceedings of the 55th IEEE Conference on Decision and Control, CDC 2016, pp. 6753–6758, Las Vegas, Nev, USA, December 2016. View at Scopus
  19. A. A. Zaidi, B. Kulcsar, and H. Wymeersch, “Back-pressure traffic signal control with fixed and adaptive routing for urban vehicular networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 17, no. 8, pp. 2134–2143, 2016. View at Publisher · View at Google Scholar · View at Scopus
  20. H. Taale, J. Van Kampen, and S. Hoogendoorn, “Integrated signal control and route guidance based on back-pressure principles,” Transportation Research Procedia, vol. 10, pp. 226–235, 2015. View at Google Scholar · View at Scopus
  21. T. Le, P. Kovács, N. Walton, H. L. Vu, L. L. H. Andrew, and S. S. P. Hoogendoorn, “Decentralized signal control for urban road networks,” Transportation Research Part C: Emerging Technologies, vol. 58, pp. 431–450, 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. H.-L. Choi, L. Brunet, and J. P. How, “Consensus-based decentralized auctions for robust task allocation,” IEEE Transactions on Robotics, vol. 25, no. 4, pp. 912–926, 2009. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Gregoire, X. Qian, E. Frazzoli, A. De La Fortelle, and T. Wongpiromsarn, “Capacity-aware backpressure traffic signal control,” IEEE Transactions on Control of Network Systems, vol. 2, no. 2, pp. 164–173, 2015. View at Publisher · View at Google Scholar · View at Scopus
  24. X. Hu, J. Cheng, and H. Luo, “Task assignment for multi-uav under severe uncertainty by using stochastic multicriteria acceptability analysis,” Mathematical Problems in Engineering, vol. 2015, Article ID 249825, 10 pages, 2015. View at Publisher · View at Google Scholar
  25. W. Zhao, Q. Meng, and P. W. H. Chung, “A heuristic distributed task allocation method for multivehicle multitask problems and its application to search and rescue scenario,” IEEE Transactions on Cybernetics, vol. 46, no. 4, pp. 902–915, 2016. View at Publisher · View at Google Scholar · View at Scopus
  26. L. Georgiadis, M. J. Neely, and L. Tassiulas, “Resource allocation and cross-layer control in wireless networks,” Foundations and Trends in Networking, vol. 1, no. 1, pp. 1–144, 2006. View at Publisher · View at Google Scholar · View at Scopus
  27. S. Lee, S. C. Wong, and P. Varaiya, “Group-based hierarchical adaptive traffic-signal control part I: formulation,” Transportation Research Part B: Methodological, vol. 104, pp. 1–18, 2017. View at Google Scholar
  28. S. Lee, S. C. Wong, and P. Varaiya, “Group-based hierarchical adaptive traffic-signal control Part II: implementation,” Transportation Research Part B: Methodological, vol. 105, pp. 376–397, 2017. View at Publisher · View at Google Scholar · View at Scopus