CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments

Fuente: arXiv
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Auteurs principaux: Tan, Chaopeng, Sun, Dingshan, Liu, Hao, Rinaldi, Marco, van Lint, Hans
Format: Preprint
Publié: 2025
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author Tan, Chaopeng
Sun, Dingshan
Liu, Hao
Rinaldi, Marco
van Lint, Hans
author_facet Tan, Chaopeng
Sun, Dingshan
Liu, Hao
Rinaldi, Marco
van Lint, Hans
contents Max-pressure (MP) control has emerged as a prominent real-time network traffic signal control strategy due to its simplicity, decentralized structure, and theoretical guarantees of network queue stability. Meanwhile, advances in connected vehicle (CV) technology have sparked extensive research into CV-based traffic signal control. Despite these developments, few studies have investigated MP control in heterogeneously distributed and partially CV environments while ensuring network queue stability. To address these research gaps, we propose a CV-based MP control (CV-MP) method that leverages real-time CV travel time information to compute the pressure, thereby incorporating both the spatial distribution and temporal delays of vehicles, unlike existing approaches that utilized only spatial distribution or temporal delays. In particular, we establish sufficient conditions for road network queue stability that are compatible with most existing MP control methods. Moreover, we pioneered the proof of network queue stability even if the vehicles are only partially connected and heterogeneously distributed, and gave a necessary condition of CV observation for maintaining the stability. Evaluation results on an Amsterdam corridor show that CV-MP significantly reduces vehicle delays compared to both actuated control and conventional MP control across various CV penetration rates. Moreover, in scenarios with dynamic traffic demand, CV-MP achieves lower spillover peaks even with low and heterogeneous CV penetration rates, further highlighting its effectiveness and robustness.
format Preprint
id arxiv_https___arxiv_org_abs_2505_05258
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments
Tan, Chaopeng
Sun, Dingshan
Liu, Hao
Rinaldi, Marco
van Lint, Hans
Systems and Control
Max-pressure (MP) control has emerged as a prominent real-time network traffic signal control strategy due to its simplicity, decentralized structure, and theoretical guarantees of network queue stability. Meanwhile, advances in connected vehicle (CV) technology have sparked extensive research into CV-based traffic signal control. Despite these developments, few studies have investigated MP control in heterogeneously distributed and partially CV environments while ensuring network queue stability. To address these research gaps, we propose a CV-based MP control (CV-MP) method that leverages real-time CV travel time information to compute the pressure, thereby incorporating both the spatial distribution and temporal delays of vehicles, unlike existing approaches that utilized only spatial distribution or temporal delays. In particular, we establish sufficient conditions for road network queue stability that are compatible with most existing MP control methods. Moreover, we pioneered the proof of network queue stability even if the vehicles are only partially connected and heterogeneously distributed, and gave a necessary condition of CV observation for maintaining the stability. Evaluation results on an Amsterdam corridor show that CV-MP significantly reduces vehicle delays compared to both actuated control and conventional MP control across various CV penetration rates. Moreover, in scenarios with dynamic traffic demand, CV-MP achieves lower spillover peaks even with low and heterogeneous CV penetration rates, further highlighting its effectiveness and robustness.
title CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments
topic Systems and Control
url https://arxiv.org/abs/2505.05258