Coupling Control of Traffic Signal and Entry Lane at Isolated Intersections Under the Mixed-Autonomy Traffic Environment

Dai, Rongjian; Ding, Chuan; Wu, Xinkai; Yu, Bin; Lu, Guangquan

doi:10.1109/tits.2023.3280953

Cited by 5 publications

(2 citation statements)

References 45 publications

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“…In this section, we study the convoy passing mechanism at a crossroad [23][24][25][26][27][28][29][30], which is an important scenario for this intelligent transportation credit system. Specifically, we consider how convoys can pass a crossroad in a safe and orderly manner according to the vehicle-mounted smart contract.…”

Section: Traffic Token-based System At a Crossroadmentioning

confidence: 99%

Smart Contract-Based Right-of-Way Trade with Game Theory in Blockchain-Enabled Internet of Vehicles

Li,

Wu,

et al. 2024

Applied Sciences

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The Internet of Vehicles (IoV) has a significant impact on improving traffic efficiency and driving safety. In this paper, we propose an intelligent transportation credit system based on blockchain, and design a crossroad passing smart contract that allows time-sensitive convoys to pass a crossroad earlier by paying traffic tokens for right-of-way trade. Second, this paper formulates the time–cost optimization problem under the premise of protecting the privacy of preceding convoys. Based on game theory with incomplete information, two right-of-way optimal bid strategies are given. Both theoretical analysis and simulation prove that the strategy proposed in this paper effectively reduces the waiting time of time-sensitive vehicles at a crossroad and increases the trade success probability, which, in turn, improves the expected total profit of convoys and achieves Pareto improvement.

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Section: Traffic Token-based System At a Crossroadmentioning

confidence: 99%

Smart Contract-Based Right-of-Way Trade with Game Theory in Blockchain-Enabled Internet of Vehicles

Li,

Wu,

et al. 2024

Applied Sciences

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show abstract

“…Yu et al [20] developed a similar integrated optimization approach, which first optimizes signal timing and vehicle reach time to minimize delay and then smooth the vehicle motion trajectory based on the green light window. Dai et al [21] proposed a coupled signal timing and vehicle trajectory control considering lane allocation in mixed traffic. A segmented linear programming model jointly optimizes the signal timing and approach lane settings.…”

Section: Introductionmentioning

confidence: 99%

An adaptive coupled control method based on vehicles platooning for intersection controller and vehicle trajectories in mixed traffic

Feng,

Zhao,

Chen

et al. 2024

IET Intelligent Trans Sys

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Connected and autonomous driving technologies offer a novel solution for intersection control optimization. Connected and autonomous vehicles (CAVs) can access signal plans and optimize trajectories to minimize delays and reduce fuel consumption. However, optimizing trajectories for individual vehicles significantly increases complexity, especially for joint optimization of traffic signals and vehicle trajectories. Given the current technical, regulatory, and policy constraints, a superior intersection management approach is necessary before fully automated driving is achieved. This paper introduces an adaptive coupling control (ACC) method based on vehicle platooning to optimize signal timings and vehicle trajectories in mixed traffic. Initially, vehicle platoon segmentation is conducted, led by CAVs. The study then proposes a single‐layer coupled optimization model based on vehicle platoons, simplifying the joint optimization model. To address logistic constraint difficulties, a linearization of the coupled model (LCM) method is developed. Numerical experiments demonstrate that the ACC method significantly reduces vehicle delay and fuel consumption. At high CAV penetration rates (0.8 < R <1) and high traffic volumes (over 900 pcu/h), vehicle platoon control delivers excellent performance, with delays and fuel consumption even lower than in a fully automated environment (R = 1). This surprising result suggests that the mixed platoon system (ACC method) positively impacts mixed traffic.

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Advancements in traffic simulation for enhanced road safety: A review

Mustapha,

Abdul-Rani,

Saad

et al. 2024

Simulation Modelling Practice and Theory

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Coupling Control of Traffic Signal and Entry Lane at Isolated Intersections Under the Mixed-Autonomy Traffic Environment

Cited by 5 publications

References 45 publications

Smart Contract-Based Right-of-Way Trade with Game Theory in Blockchain-Enabled Internet of Vehicles

Smart Contract-Based Right-of-Way Trade with Game Theory in Blockchain-Enabled Internet of Vehicles

An adaptive coupled control method based on vehicles platooning for intersection controller and vehicle trajectories in mixed traffic

Advancements in traffic simulation for enhanced road safety: A review

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