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Expected Waiting Times at an Intersection with a Green Extension Strategy for Freight Vehicles: An Analytical Analysis

Author

Listed:
  • Sara Sasaninejad

    (SMACS Research Group, Department of Telecommunications and Information Processing, Ghent University, B-9000 Gent, Belgium)

  • Joris Van Malderen

    (SMACS Research Group, Department of Telecommunications and Information Processing, Ghent University, B-9000 Gent, Belgium)

  • Joris Walraevens

    (SMACS Research Group, Department of Telecommunications and Information Processing, Ghent University, B-9000 Gent, Belgium)

  • Sabine Wittevrongel

    (SMACS Research Group, Department of Telecommunications and Information Processing, Ghent University, B-9000 Gent, Belgium)

Abstract

The need for transporting commodities has led to more and more freight vehicles on urban roads. Specific operational constraints of such vehicles could induce non-homogeneities in the smooth movement of traffic, especially at intersections where acceleration/deceleration events occur frequently. This leads to unnecessary wasted time for all vehicles, even in low to moderate traffic conditions. Hence, the literature reports different proposals to enhance the continuity of traffic at intersections. Among them, the green extension strategy has attracted researchers’ attention, owing to its simplicity, flexibility and practicality. In this paper, we propose a new approximate probabilistic model for the expected waiting/wasted time of all vehicles at an intersection with green time extension in low to moderate traffic conditions. Accordingly, the optimal green extension interval that minimizes the total expected waiting time can then be determined in different conditions. The proposed analysis needs few pieces of information (as opposed to microsimulation models conventionally employed to analyze such systems) and is therefore, suitable for quickly deciding on the optimal strategy based on the current situation in a dynamic environment. We have validated our approximate analysis with simulations in the VISSIM simulation tool.

Suggested Citation

  • Sara Sasaninejad & Joris Van Malderen & Joris Walraevens & Sabine Wittevrongel, 2023. "Expected Waiting Times at an Intersection with a Green Extension Strategy for Freight Vehicles: An Analytical Analysis," Mathematics, MDPI, vol. 11(3), pages 1-26, February.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:3:p:721-:d:1053385
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    References listed on IDEAS

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    1. Lafkihi, Mariam & Pan, Shenle & Ballot, Eric, 2019. "Freight transportation service procurement: A literature review and future research opportunities in omnichannel E-commerce," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 348-365.
    2. Comert, Gurcan & Cetin, Mecit, 2009. "Queue length estimation from probe vehicle location and the impacts of sample size," European Journal of Operational Research, Elsevier, vol. 197(1), pages 196-202, August.
    3. Heidemann, Dirk, 1994. "Queue length and delay distributions at traffic signals," Transportation Research Part B: Methodological, Elsevier, vol. 28(5), pages 377-389, October.
    4. Viti, Francesco & van Zuylen, Henk J., 2010. "Probabilistic models for queues at fixed control signals," Transportation Research Part B: Methodological, Elsevier, vol. 44(1), pages 120-135, January.
    5. Sadiqa Jafari & Zeinab Shahbazi & Yung-Cheol Byun, 2021. "Improving the Performance of Single-Intersection Urban Traffic Networks Based on a Model Predictive Controller," Sustainability, MDPI, vol. 13(10), pages 1-16, May.
    6. Jacobson, Jesse & Sheffi, Yosef, 1981. "Analytical model of traffic delays under bus signal preemption: Theory and application," Transportation Research Part B: Methodological, Elsevier, vol. 15(2), pages 127-138, April.
    7. Hossein Moradi & Sara Sasaninejad & Sabine Wittevrongel & Joris Walraevens, 2023. "Dynamically estimating saturation flow rate at signalized intersections: a data-driven technique," Transportation Planning and Technology, Taylor & Francis Journals, vol. 46(2), pages 160-181, February.
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