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On the evaluation and selection of network-level traffic control policies: Perimeter control, TUC, and their combination

Author

Listed:
  • de Souza, Felipe
  • Minatto Saucedo, Rafael
  • Mousavizadeh, Omid
  • Castelan Carlson, Rodrigo
  • Keyvan-Ekbatani, Mehdi

Abstract

Perimeter control (PC) of urban traffic networks can be effective in increasing network-wide efficiency. PC operates on the border of a protected region of a traffic network. Most studies thus far considered fixed-time plans for the inner part of these regions. A few studies have shown that combining PC with locally actuated or decentralized traffic control systems may have positive effects on traffic performance, including better-defined Network Macroscopic Fundamental Diagrams (NMFDs), increased network throughput, and reduced delays. The Traffic-responsive Urban Control (TUC) is a real-time network-wide traffic control system with particular design characteristics, such as the balancing of link’s occupancies and an inherent gating feature. These characteristics suggest that TUC may enhance the traffic network performance when combined with PC whilst improving the resulting NMFDs and network throughput and delays. In this work, we investigate the effect of feedback perimeter control (FPC), TUC, and their combination on the NMFD and on the traffic conditions of general traffic and public transport in the microsimulation of a realistic model of the Christchurch Central Business District in New Zealand. We perform a thorough investigation of practical aspects of both control strategies and their combination, including parameter tuning and infrastructure requirements, and how they may affect the control system choice. Results show higher throughput and less hysteresis on the NMFDs, particularly when TUC is involved. PC provides benefits concentrated in the protected region which can greatly benefit public transportation if there is an overlap with the transit network. The combination of TUC and FPC boosts network-wide throughput.

Suggested Citation

  • de Souza, Felipe & Minatto Saucedo, Rafael & Mousavizadeh, Omid & Castelan Carlson, Rodrigo & Keyvan-Ekbatani, Mehdi, 2024. "On the evaluation and selection of network-level traffic control policies: Perimeter control, TUC, and their combination," Transportation Research Part A: Policy and Practice, Elsevier, vol. 186(C).
  • Handle: RePEc:eee:transa:v:186:y:2024:i:c:s096585642400209x
    DOI: 10.1016/j.tra.2024.104161
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    References listed on IDEAS

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    1. Alonso, Borja & Ibeas, Ángel & Musolino, Giuseppe & Rindone, Corrado & Vitetta, Antonino, 2019. "Effects of traffic control regulation on Network Macroscopic Fundamental Diagram: A statistical analysis of real data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 136-151.
    2. Ampountolas, Konstantinos & Zheng, Nan & Geroliminis, Nikolas, 2017. "Macroscopic modelling and robust control of bi-modal multi-region urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 616-637.
    3. Kosmatopoulos, E. & Papageorgiou, M. & Bielefeldt, C. & Dinopoulou, V. & Morris, R. & Mueck, J. & Richards, A. & Weichenmeier, F., 2006. "International comparative field evaluation of a traffic-responsive signal control strategy in three cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(5), pages 399-413, June.
    4. Haddad, Jack & Zheng, Zhengfei, 2020. "Adaptive perimeter control for multi-region accumulation-based models with state delays," Transportation Research Part B: Methodological, Elsevier, vol. 137(C), pages 133-153.
    5. G. C. D'Ans & D. C. Gazis, 1976. "Optimal Control of Oversaturated Store-and-Forward Transportation Networks," Transportation Science, INFORMS, vol. 10(1), pages 1-19, February.
    6. Ramezani, Mohsen & Haddad, Jack & Geroliminis, Nikolas, 2015. "Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 1-19.
    7. Russo, Antonio & Adler, Martin W. & van Ommeren, Jos N., 2022. "Dedicated bus lanes, bus speed and traffic congestion in Rome," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 298-310.
    8. Loder, Allister & Bliemer, Michiel C.J. & Axhausen, Kay W., 2022. "Optimal pricing and investment in a multi-modal city — Introducing a macroscopic network design problem based on the MFD," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 113-132.
    9. Jordi Casas & Jaime L. Ferrer & David Garcia & Josep Perarnau & Alex Torday, 2010. "Traffic Simulation with Aimsun," International Series in Operations Research & Management Science, in: Jaume Barceló (ed.), Fundamentals of Traffic Simulation, chapter 0, pages 173-232, Springer.
    10. Gayah, Vikash V. & Gao, Xueyu (Shirley) & Nagle, Andrew S., 2014. "On the impacts of locally adaptive signal control on urban network stability and the Macroscopic Fundamental Diagram," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 255-268.
    11. Geroliminis, Nikolas & Sun, Jie, 2011. "Properties of a well-defined macroscopic fundamental diagram for urban traffic," Transportation Research Part B: Methodological, Elsevier, vol. 45(3), pages 605-617, March.
    12. Su, Z.C. & Chow, Andy H.F. & Fang, C.L. & Liang, E.M. & Zhong, R.X., 2023. "Hierarchical control for stochastic network traffic with reinforcement learning," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 196-216.
    13. Weng, JianCheng & Yu, JiangBo & Di, XiaoJian & Lin, PengFei & Wang, Jing-Jing & Mao, Li-Zeng, 2023. "How does the state of bus operations influence passengers’ service satisfaction? A method considering the differences in passenger preferences," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
    14. Geroliminis, Nikolas & Daganzo, Carlos F., 2008. "Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 759-770, November.
    15. Ji, Yuxuan & Geroliminis, Nikolas, 2012. "On the spatial partitioning of urban transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1639-1656.
    16. Dinopoulou, Vaya & Diakaki, Christina & Papageorgiou, Markos, 2006. "Applications of the urban traffic control strategy TUC," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1652-1665, December.
    17. Niu, Xiao-Jing & Zhao, Xiao-Mei & Xie, Dong-Fan & Liu, Feng & Bi, Jun & Lu, Chaoru, 2022. "Impact of large-scale activities on macroscopic fundamental diagram: Field data analysis and modeling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 241-268.
    18. Zheng, Nan & Geroliminis, Nikolas, 2020. "Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 357-374.
    19. Keyvan-Ekbatani, Mehdi & Kouvelas, Anastasios & Papamichail, Ioannis & Papageorgiou, Markos, 2012. "Exploiting the fundamental diagram of urban networks for feedback-based gating," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1393-1403.
    20. Li, Ye & Mohajerpoor, Reza & Ramezani, Mohsen, 2021. "Perimeter control with real-time location-varying cordon," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 101-120.
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