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

Sara Sasaninejad, Joris Van Malderen, Joris Walraevens () and Sabine Wittevrongel
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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

Mathematics, 2023, vol. 11, issue 3, 1-26

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.

Keywords: freight vehicles; green extension strategy; expected waiting time; analytic analysis; VISSIM (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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