Let's Connect
Follow Us
Watch Us
(+385) 1 2380 262
journal.prometfpz.unizg.hr
Promet - Traffic&Transportation journal

Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

Sign In or Register Submit

PDF
PUBLISHED
01.03.2024
DOI
https://doi.org/10.7307/ptt.v36i1.351
ISSUE
2024 (Vol 36), Issue 1
LICENSE
Copyright (c) 2024 Rongmeng Leng, Shidong Liang
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Capped Robust Optimal Control Method to Improve Tram Operation Reliability Considering Random Number of Passengers at Station Serving Multiple Lines

Authors:Rongmeng Leng, Shidong Liang

Abstract

Tram signal priority control is a crucial approach for enhancing the reliability of tram operations and has been implemented in various cities. Nevertheless, unpredictable tram operations influenced by tram dwell time during station stops can cause signal priority control failure at intersections. It is challenging to precisely predict tram dwell time at stations that offer multiple lines. To address this issue, the proposed research presents a capped robust optimal control (CRC) technique for tram signal priority. This method entails considering the stochastic number of passengers boarding and alighting at stations with multiple lines. Furthermore, tram delay calculation models at intersections are established and integrated into an objective function. The main objective of this strategy is to enhance tram operation reliability and maximise tram operation efficiency while reducing the adverse impact of tram priority on other vehicles at the intersection. A case study was conducted to evaluate the effectiveness of the CRC method. The results indicate that the CRC technique significantly improves tram operation reliability and efficiency.

Keywords:tram control, robust optimal, operational reliability, public transit

References

  1. [1] Hao YX, et al. Increasing capacity of intersections with transit priority. Promet – Traffic&Transportation. 2016;28(6):627-637. DOI: 10.7307/ptt.v28i6.1999.
  2. [2] Sunkari Srinivasa R, et al. Model to evaluate the impacts of bus priority on signalized intersections. Transportation Research Record. 1995(1494):117-123.
  3. [3] Vujic M, et al. Pilot implementation of public transport priority in the city of Zagreb. Promet – Traffic&Transportation. 2015;27(3):257-265. DOI: 10.7307/ptt.v27i3.1735.
  4. [4] Kim H, et al. Variable signal progression bands for transit vehicles under dwell time uncertainty and traffic queues. IEEE Transactions on Intelligent Transportation Systems. 2019;20(1):109-122. DOI: 10.1109/tits.2018.2801567.
  5. [5] Dion F, et al. Integration of transit signal priority within adaptive traffic signal control systems. 2005.
  6. [6] Wang Z, et al. Traffic signal priority control based on shared experience multi‐agent deep reinforcement learning. IET Intelligent Transport Systems. 2022. DOI: 10.1049/itr2.12328.
  7. [7] Liu JH, et al. Modelling and simulation of cooperative control for bus rapid transit vehicle platoon in a connected vehicle environment. Promet – Traffic&Transportation. 2017;29(1):67-75. DOI: 10.7307/ptt.v29i1.2024.
  8. [8] Jing WW, et al. Route redundancy-based approach to identify the critical stations in metro networks: A mean-excess probability measure. Reliability Engineering & System Safety. 2020;204:11. DOI: 10.1016/j.ress.2020.107204.
  9. [9] Barahimi AH, et al. Multi-modal urban transit network design considering reliability: Multi-objective bi-level optimization. Reliability Engineering & System Safety. 2021;216:14. DOI: 10.1016/j.ress.2021.107922.
  10. [10] Liang SD, et al. Optimal control to improve reliability of demand responsive transport priority at signalized intersections considering the stochastic process. Reliability Engineering & System Safety. 2022;218:13. DOI: 10.1016/j.ress.2021.108192.
  11. [11] Zhou Y, et al. Sequential imperfect preventive maintenance model with failure intensity reduction with an application to urban buses. Reliability Engineering & System Safety. 2020;198:11. DOI: 10.1016/j.ress.2020.106871.
  12. [12] Furth PG, Muller THJ. Conditional bus priority at signalized intersections: Better service with less traffic disruption. Transportation Research Record. 2000;1731(1):23-30.
  13. [13] Chow AHF, et al. Multi-objective optimal control formulations for bus service reliability with traffic signals. Transportation Research Part B: Methodological. 2017;103:248-268. DOI: 10.1016/j.trb.2017.02.006.
  14. [14] Xu MT, et al. Multi-agent fuzzy-based transit signal priority control for traffic network considering conflicting priority requests. IEEE Transactions on Intelligent Transportation Systems. 2022;23(2):1554-1564. DOI: 10.1109/tits.2020.3045122.
  15. [15] Li JL, et al. Regional coordinated bus priority signal control considering pedestrian and vehicle delays at urban intersections. IEEE Transactions on Intelligent Transportation Systems. 2022;23(9):16690-16700. DOI: 10.1109/tits.2021.3105656.
  16. [16] Farid Yashar Z, et al. An analytical model to conduct a person-based evaluation of transit preferential treatments on signalized arterials. Transportation Research Part C: Emerging Technologies. 2018;90:411-432. DOI: 10.1016/j.trc.2017.12.010.
  17. [17] Truong LT, et al. Coordinated transit signal priority model considering stochastic bus arrival time. IEEE Transactions on Intelligent Transportation Systems. 2019;20(4):1269-1277. DOI: 10.1109/tits.2018.2844199.
  18. [18] Peña D, et al. A novel multi-objective optimization approach to guarantee quality of service and energy efficiency in a heterogeneous bus fleet system. Engineering Optimization. 2022:1-17.
  19. [19] Behbahani H, Poorjafari M. Proposing a kinematic wave-based adaptive transit signal priority control using genetic algorithm. IET Intelligent Transport Systems. 2023;17(5):912-928. DOI: 10.1049/itr2.12316.
  20. [20] Matulin M, et al. Two-level evaluation of public transport performances. Promet – Traffic&Transportation. 2011;23(5):329-339. DOI: 10.7307/ptt.v23i5.151.
  21. [21] Shi J, et al. Joint optimization of tram timetables and signal timing adjustments at intersections. Transportation Research Part C: Emerging Technologies. 2017;83:104-119. DOI: 10.1016/j.trc.2017.07.014.
  22. [22] He J, et al. An optimization model of tram timetables considering various signal priority strategies. Scientific Reports. 2022;12(1):1-16.
  23. [23] Ji Y, et al. An integrated approach for tram prioritization in signalized corridors. IEEE Transactions on Intelligent Transportation Systems. 2020;21(6):2386-2395. DOI: 10.1109/tits.2019.2918204.
  24. [24] Guo G, Wang Y. An integrated MPC and deep reinforcement learning approach to trams-priority active signal control. Control Engineering Practice. 2021;110. DOI: 10.1016/j.conengprac.2021.104758.
  25. [25] Zhang L, et al. Schedule-driven signal priority control for modern trams using reinforcement learning. CICTP 2017: Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation: American Society of Civil Engineers Reston, VA; 2018. p. 2122-2132.
  26. [26] Sadollah A, et al. Management of traffic congestion in adaptive traffic signals using a novel classification-based approach. Engineering Optimization. 2019;51(9):1509-1528. DOI: 10.1080/0305215x.2018.1525708.
  27. [27] Li J, et al. A two-stage stochastic optimization model for integrated tram timetable and speed control with uncertain dwell times. Energy. 2022;260. DOI: 10.1016/j.energy.2022.125059.
  28. [28] Ji Y, et al. Coordinated optimization of tram trajectories with arterial signal timing resynchronization. Transportation Research Part C: Emerging Technologies. 2019;99:53-66. DOI: 10.1016/j.trc.2019.01.008.
  29. [29] Wang C, et al. Modeling bus dwell time and time lost serving stop in China. Journal of Public Transportation. 2016;19(3):55-77. DOI: 10.5038/2375-0901.19.3.4.
  30. [30] Liu XD, et al. Impact of different bus stop designs on bus operating time components. Journal of Public Transportation. 2017;20(1):104-118. DOI: 10.5038/2375-0901.20.1.6.
  31. [31] Yang M, et al. A coordinated signal priority strategy for modern trams on arterial streets by predicting the tram dwell time. KSCE Journal of Civil Engineering. 2017;22(2):823-836. DOI: 10.1007/s12205-017-1187-4.
  32. [32] Zhang T, Guo Z. The optimization of tram schedule under semi-exclusive right-of-way. 2021 IEEE 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). 2021. p. 166-172. DOI: 10.1109/icccbda51879.2021.9442610.
  33. [33] Zhou W, et al. Integrated optimization of tram schedule and signal priority at intersections to minimize person delay. Journal of Advanced Transportation. 2019;2019:1-18. DOI: 10.1155/2019/4802967.
  34. [34] Bai Y, et al. Traffic signal coordination for tramlines with passive priority strategy. Mathematical Problems in Engineering. 2018:1-14. DOI: 10.1155/2018/6062878.
  35. [35] Zhao X, et al. Modeling a modern tram system integrated with a road traffic simulation. Simulation-Transactions of the Society for Modeling and Simulation International. 2018;94(1):77-90. DOI: 10.1177/0037549717734420.
Show more

SPECIAL ISSUE CALL

Innovation and New Technologies in Transport and Logistics

Guest Editor: Eleonora Papadimitriou, PhD

Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.

RECENT PAPERS

Browse through the selection of our recent research
Implications of Retrograde Behaviours on Visual and Cycling Behaviour of Normal CyclistsWireless Channel Propagation Model for Inland Waterway Bridge ScenarioRisk Analysis of Level Crossing Element Failures in a Fuzzy EnvironmentA Review of Expert Systems Integration in Signal Plan Optimisation

Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal