Have a personal or library account? Click to login
Evaluation of Reinforcement Learning Traffic Signalling Strategies for Alternative Objectives: Implementation in the Network of Nicosia, Cyprus Cover

Evaluation of Reinforcement Learning Traffic Signalling Strategies for Alternative Objectives: Implementation in the Network of Nicosia, Cyprus

Open Access
|Nov 2020

References

  1. 1. Bakker, B., Whiteson, S., Kester, L., Groen, F.C.A. (2010) Traffic light control by multiagent reinforcement learning systems. Stud. Comput. Intell. 281, 475–510. https://doi.org/10.1007/978-3-642-11688-9_1810.1007/978-3-642-11688-9_18
  2. 2. Buşoniu, L., Babuška, R., De Schutter, B. (2008) A comprehensive survey of multiagent reinforcement learning. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. https://doi.org/10.1109/TSMCC.2007.91391910.1109/TSMCC.2007.913919
  3. 3. Chen, C., Wei, H., Xu, N., Zheng, G., Yang, M., Xiong, Y., Xu, K., Li, Z., 2020. Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control. Aaai 3414–3121.10.1609/aaai.v34i04.5744
  4. 4. El-Tantawy, S., Abdulhai, B., Abdelgawad, H. (2013) Multiagent reinforcement learning for integrated network of adaptive traffic signal controllers (marlin-atsc): Methodology and large-scale application on downtown toronto. IEEE Trans. Intell. Transp. Syst. 14, 1140–1150. https://doi.org/10.1109/TITS.2013.225528610.1109/TITS.2013.2255286
  5. 5. Fellendorf, M., Vortisch, P. (2010) Microscopic traffic flow simulator VISSIM. In: International Series in Operations Research and Management Science. Springer New York LLC, pp. 63–93. https://doi.org/10.1007/978-1-4419-6142-6_210.1007/978-1-4419-6142-6_2
  6. 6. Liu, Y., Liu, L., Chen, W.P. (2018) Intelligent traffic light control using distributed multi-agent Q learning. In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. pp. 1–8. https://doi.org/10.1109/ITSC.2017.831773010.1109/ITSC.2017.8317730
  7. 7. Mannion, P., Duggan, J., Howley, E. (2016) An Experimental Review of Reinforcement Learning Algorithms for Adaptive Traffic Signal Control. In: Autonomic Road Transport Support Systems. Springer International Publishing, pp. 47–66. https://doi.org/10.1007/978-3-319-25808-9_410.1007/978-3-319-25808-9_4
  8. 8. Papageorgiou, M. (2004) Overview of road traffic control strategies. In: IFAC Proceedings Volumes (IFAC-PapersOnline). IFAC Secretariat, pp. 29–40. https://doi.org/10.1016/s1474-6670(17)30657-210.1016/S1474-6670(17)30657-2
  9. 9. Penic, M.A., Upchurch, J. (1992) TRANSYT-7F: Enhancement for Fuel Consumption, Pollution Emissions, and User Costs. Transp. Res. Rec. 104–111.
  10. 10. Urbanik, T., Tanaka, A., Lozner, B., Lindstrom, E., Lee, K., Quayle, S., Beaird, S., Tsoi, S., Ryus, P., Gettman, D., Sunkari, S., Balke, K., Bullock, D. (2015) Signal Timing Manual – Second Edition, Signal Timing Manual – Second Edition. Transportation Research Board.https://doi.org/10.17226/2209710.17226/22097
  11. 11. Wang, Y., Szeto, W.Y., Han, K., Friesz, T.L., 2018. Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications. Transp. Res. Part B Methodol. https://doi.org/10.1016/j.trb.2018.03.01110.1016/j.trb.2018.03.011
  12. 12. Zhong, D., Boukerche, A. (2019) Traffic Signal Control Using Deep Reinforcement Learning with Multiple Resources of Rewards. In: Proceedings of the 16th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, ---amp--- Ubiquitous Networks - PE-WASUN ’19. ACM Press, New York, New York, USA, pp. 23–28. https://doi.org/10.1145/3345860.336152210.1145/3345860.3361522
  13. 13. Zhu, F., Aziz, H.M.A., Qian, X., Ukkusuri, S. V. (2015) A junction-tree based learning algorithm to optimize network wide traffic control: A coordinated multi-agent framework. Transp. Res. Part C Emerg. Technol., 58, 487–501. https://doi.org/10.1016/j.trc.2014.12.00910.1016/j.trc.2014.12.009
DOI: https://doi.org/10.2478/ttj-2020-0024 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
Language: English
Page range: 295 - 302
Published on: Nov 26, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Haris Ballis, Loukas Dimitriou, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.