Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control

Elouni, Maha; Abdelghaffar, Hossam M.; Rakha, Hesham A.

doi:10.3390/s21010274

Cited by 12 publications

(6 citation statements)

References 51 publications

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“…Additionally, they also extended their work to the network level [18]. Furthermore, Elouni et al [19] compared the operation of game theoretic decentralized and centralized traffic signal controllers. Dong et al [20] focused on multi-intersection.…”

Section: Gt-based Signal Control Studiesmentioning

confidence: 99%

Game Theory-Based Signal Control Considering Both Pedestrians and Vehicles in Connected Environment

Wang,

Zhang,

et al. 2023

Sensors

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Signal control, as an integral component of traffic management, plays a pivotal role in enhancing the efficiency of traffic and reducing environmental pollution. However, the majority of signal control research based on game theory primarily focuses on vehicular perspectives, often neglecting pedestrians, who are significant participants at intersections. This paper introduces a game theory-based signal control approach designed to minimize and equalize the queued vehicles and pedestrians across the different phases. The Nash bargaining solution is employed to determine the optimal green duration for each phase within a fixed cycle length. Several simulation tests were carried out by SUMO software to assess the effectiveness of this proposed approach. We select the actuated signal control approach as the baseline to demonstrate the superiority and stability of the proposed control strategy. The simulation results reveal that the proposed approach is able to reduce pedestrian and vehicle delay, vehicle queue length, fuel consumption, and CO2 emissions under different demand levels and demand patterns. Furthermore, the proposed approach consistently achieves more equalized queue length for each lane compared to the actuated control strategy, indicating a higher degree of fairness.

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Section: Gt-based Signal Control Studiesmentioning

confidence: 99%

Game Theory-Based Signal Control Considering Both Pedestrians and Vehicles in Connected Environment

Wang,

Zhang,

et al. 2023

Sensors

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“…Using two methods-game-theoretic decentralized and centralized perimeter control-Elouni et al [68] designed an adaptive traffic signal control system and compared the performance of both methods. Findings indicated that the Nash Bargaining (NB) traffic signal controller can prevent congestion from building and improve the entire network's performance.…”

Section: Signalized Roadway Applicationsmentioning

confidence: 99%

Impacts of Vehicle-to-Everything Enabled Applications: Literature Review of Existing Studies

Du,

Ahn,

Farag

et al. 2023

Comput. Networks Commun.

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As communication technology is developing at a rapid pace, connected vehicles (CVs) can potentially enhance vehicle safety while reducing vehicle energy consumption and emissions via data sharing. Many researchers have attempted to quantify the impacts of such CV applications and vehicle-to-everything (V2X) communication, or the instant and accurate communication among vehicles, devices, pedestrians, infrastructure, network, cloud, and grid. Cellular V2X (C-V2X) has gained interest as an efficient method for this data sharing. In releases 14 and 15, C-V2X uses 4G LTE technology, and in release 16, it uses the latest 5G new radio (NR) technology. Among its benefits, C-V2X can function even with no network infrastructure coverage; in addition, C-V2X surpasses older technologies in terms of communication range, latency, and data rates. Highly efficient information interchange in a CV environment can provide timely data to enhance the transportation system's capacity, and it can support applications that improve vehicle safety and minimize negative impacts on the environment. Achieving the full benefits of CVs requires rigorous investigation into the effectiveness, strengths, and weaknesses of different CV applications. It also calls for deeper understanding of the communication protocols, results with different CV market penetration rates (MPRs), CV- and human-driven vehicle interactions, integration of multiple applications, and errors and latencies associated with data communication. This paper includes a review of existing literature on the safety, mobility, and environmental impacts of CV applications; gaps in current CV research; and recommended directions for future research. The results of this paper will help shape future research for CV applications to realize their full potential.

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“…The NB controller outperforms both gating and non-gating controllers with significant reductions in vehicle travel time, emissions, fuel consumption, and delays. Specifically, the decentralized NB controller led to significant reductions of, with or without gating, 21% to 41% in total delay, 40% to 55% in CO2 emission levels, and 12% to 20% fuel consumption [54].…”

Section: Signalized Roadway Applicationsmentioning

confidence: 99%

Environmental and Safety Impacts of Vehicle-to-Everything Enabled Applications: A Review of State-of-the-Art Studies

Du¹,

Ahn²,

Farag³

et al. 2022

Preprint

Self Cite

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With the rapid development of communication technology, connected vehicles (CV) have the potential, through the sharing of data, to enhance vehicle safety and reduce vehicle energy consumption and emissions. Numerous research efforts have been conducted to quantify the impacts of CV applications, assuming instant and accurate communication among vehicles, devices, pedestrians, infrastructure, the network, the cloud, and the grid, collectively known as V2X (vehicle-to-everything). The use of cellular vehicle-to-everything (C-V2X), to share data is emerging as an efficient means to achieve this objective. C-V2X releases 14 and 15 utilize the 4G LTE technology and release 16 utilizes the new 5G new radio (NR) technology. C-V2X can function without network infrastructure coverage and has a better communication range, improved latency, and greater data rates compared to older technologies. Such highly efficient interchange of information among all participating parts in a CV environment will not only provide timely data to enhance the capacity of the transportation system but can also be used to develop applications that enhance vehicle safety and minimize negative environmental impacts. However, before the full benefits of CV can be achieved, there is a need to thoroughly investigate the effectiveness, strengths, and weaknesses of different CV applications, the communication protocols, the varied results with different CV market penetration rates (MPRs), the interaction of CVs and human driven vehicles, the integration of multiple applications, and the errors and latencies associated with data communication. This paper reviews existing literature on the environmental, mobility and safety impacts of CV applications, identifies the gaps in our current research of CVs and recommends future research directions. The results of this paper will help shape the future research direction for CV applications to realize their full potential benefits.

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Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control

Cited by 12 publications

References 51 publications

Game Theory-Based Signal Control Considering Both Pedestrians and Vehicles in Connected Environment

Game Theory-Based Signal Control Considering Both Pedestrians and Vehicles in Connected Environment

Impacts of Vehicle-to-Everything Enabled Applications: Literature Review of Existing Studies

Environmental and Safety Impacts of Vehicle-to-Everything Enabled Applications: A Review of State-of-the-Art Studies

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