Bidirectional Green Waves for Major Road Axes by Adjusting Separate Left-Turn Phases

Christian Liebchen ()
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Christian Liebchen: Technische Hochschule Wildau, Engineering and Natural Sciences

Chapter Chapter 59 in Operations Research Proceedings 2022, 2023, pp 495-502 from Springer

Abstract: Abstract Planning so-called green waves along major road axes is a well-established target for traffic engineers. This is mainly for two reasons: a smooth traffic flow quality, and less air pollution. For one-way road axes (e.g., the Avenues in Manhattan), this is a trivial downstream task. For bidirectional arterials, there is a well-known necessary condition for establishing a green wave in both directions: The driving times between two subsequent crossings must be integer multiples of half of the cycle time of the signal programs at the nodes. In this presentation, we propose an integer linear optimization model to establish fixed-time green waves in both directions that are as long and as wide as possible, even in the situation where the above-mentioned driving time condition is not fulfilled. In particular, we are considering an arterial along whose nodes separate left-turn signal groups are realized. In our computational results, we show that scheduling left-turn phases before or after the straight phases can reduce waiting times along the arterial. Moreover, we show that there is always a solution with green waves in both directions that are as long and as wide as possible, where absolute priority is put on just one direction. Only when considering prioritized parts of a green band (e.g. some first few seconds), then an ideal green wave into one direction can provide suboptimal quality compared to optimizing both directions together. Finally, we validate the nominal solution quality according to the objective function values with the results of corresponding runs of the well-established traffic flow simulation tool SUMO.

Keywords: Traffic light coordination; Synchronization; Phase sequencing; Integer programming; Simulation (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-24907-5_59

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