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Back-Pressure Traffic Signal Control in the Presence of Noisy Queue Information
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A4 Artikkeli konferenssijulkaisussa
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en
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6
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IFAC-PapersOnLine, issue 2, pp. 10491-10496, IFAC-PapersOnLine ; Volume 56, 2
Abstract
In this paper, we consider centralized traffic signal control policies using the max-weight algorithm when the queue size measurement is noisy. We first show analytically that the standard max-weight algorithm is throughput optimal even under noisy queue measurements. However, the average steady-state queue lengths and subsequently the average delays are increased. In order to alleviate the effect of these noisy measurements we add filtering to the max-weight algorithm; more specifically, we propose the Filtered-max-weight algorithm, which is based on particle filtering. We demonstrate via simulations that the Filtered-max-weight algorithm performs better than the standard max-weight algorithm in the presence of noisy measurements.
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Publisher Copyright: Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) | openaire: EC/H2020/856602/EU//FINEST TWINS
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Charalambous, T, Liaquat, M, Kulcsár, B & Wymeersch, H 2023, Back-Pressure Traffic Signal Control in the Presence of Noisy Queue Information. in H Ishii, Y Ebihara, J Imura & M Yamakita (eds), IFAC-PapersOnLine. 2 edn, IFAC-PapersOnLine, no. 2, vol. 56, Elsevier, pp. 10491-10496, IFAC World Congress, Yokohama, Japan, 09/07/2023. https://doi.org/10.1016/j.ifacol.2023.10.1068