A Two-Stage Optimization Method for Schedule and Trajectory of CAVs at an Isolated Autonomous Intersection

Yao, Zhihong; Jiang, Haoran; Jiang, Yangsheng; Ran, Bin

doi:10.1109/tits.2022.3230682

Cited by 36 publications

(6 citation statements)

References 52 publications

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“…For the BILSTM model, following the methodology outlined in [49], we configured the number of neurons in each hidden layer to be 24, set the training epochs to 50, established the input length as 12, determined the batch size as 32, set the learning rate to 0.001, and applied the tanh(•) activation function for the fully connected layer. Consistent with the approach detailed in [50], we set the time slot interval to 10 s. Each segment's duration was set to 1000 milliseconds, in line with the recommendation in [51], and each autonomous vehicle was assumed to possess storage space significantly larger than the preloaded segment size. Furthermore, the passenger count within each autonomous vehicle was subject to variation, with possible values ranging from 1 to 4.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Huang,

Hu,

Cheng

2023

Biomimetics

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It is expected that interconnected networks of autonomous vehicles, especially during peak traffic, will face congestion challenges. Moreover, the existing literature lacks discussions on integrating next-generation wireless communication technologies into connected vehicular networks. Hence, this paper introduces a tailored bandwidth management algorithm for streaming applications of autonomous vehicle passengers. It leverages cutting-edge 6G wireless technology to create a network with high-speed transmission and broad coverage, ensuring smooth streaming application performance. The key features of bandwidth allocation for diverse streaming applications in this work include bandwidth relay and pre-loading of video clips assisted by vehicle-to-vehicle communication. Through simulations, this research effectively showcases the algorithm’s ability to fulfill the bandwidth needs of diverse streaming applications for autonomous vehicle passengers. Specifically, during periods of peak user bandwidth demand, it notably increases the bandwidth accessible for streaming applications. On average, users experience a substantial 55% improvement in the bandwidth they can access. This validation affirms the viability and promise of the proposed approach in efficiently managing the intricate complexities of bandwidth allocation issues for streaming services within the connected autonomous vehicular networks.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Huang,

Hu,

Cheng

2023

Biomimetics

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“…In addition, several works in literature attempted to use mixed-integer linear programming (MILP). For example, [27] benefited from advantages of different intersection modeling approaches to optimize the CAVs crossing with V2V and V2I communications using MILP. Likewise, the study [28] exploited an intersection control system using dynamic programming and MILP that took advantage of CAVs as traffic regulators in a mixed traffic environment.…”

Section: Related Workmentioning

confidence: 99%

CAI²M²: A Centralized Autonomous Inclusive Intersection Management Mechanism for Heterogeneous Connected Vehicles

Gholamhosseinian,

Seitz

2024

IEEE Open J. Veh. Technol.

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This paper introduces a novel centralized autonomous inclusive intersection management mechanism (CAI 2 M 2 ) for heterogeneous connected vehicles (HCVs). The system embraces a diverse array of human-driven vehicles, each possessing unique characteristics. The proposed system navigates vehicles through the intersection safely and efficiently considering various road conditions including dry (D), wet (W), snowy (S), and icy (I). The communication relies on dedicated short-range communications (DSRC) to facilitate the seamless exchange of traffic information between roadside unit (RSU) and vehicles. The coordination policy takes into account parameters such as vehicle types, arrival times, intersection rules, road priorities, and prevailing road conditions. To enhance safety and prevent collisions, vehicles are classified based on distinctive safety features and dynamics, such as reaction distance (d r ), stopping distance (d s ), braking distance (d b ), braking lag distance (d bl ), acceleration (acc.), deceleration (dec.), load, and velocity (v). The paper evaluates the system performance through metrics encompassing average travel time (ATT), packet loss rate (PLR), throughput, intersection busy time (IBT), and channel busy rate (CBR) across several traffic scenarios with different densities and distribution patterns. Additionally, the study compares the system efficiency with signalized intersections under various road conditions, aiming to identify an optimal control approach for autonomous intersection management INDEX TERMS Heterogeneous connected vehicles, intersection management, ATT, CBR, PLR, IBT, throughput, coefficient of friction, road conditions, AIM.

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“…Several research have introduced optimization strategies to further improve intersection performance, including bilevel programming [5,6], tree search [7], and machine learning [8][9][10][11], reservation optimization [12], other strategies [13,14], yielding satisfactory schedule results. However, Lioris et al [15] found that increasing intersection capacity is feasible when vehicles traverse intersections as platoons rather than individually.…”

Section: Introductionmentioning

confidence: 99%

Game Scheduling for Vehicle Platoons at Autonomous Intersection Accommodating Priority Passage Requests

Hu,

Peng

2024

IEEE Access

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Addressing the human-centric needs in vehicle scheduling at intersections poses a significant challenge. In this paper, we propose a game scheduling method to address the problem of platoon scheduling while considering priority passage requests. Firstly, we construct a coalition game-based platoon scheduling model. Within this model, a kernel function searches for the optimal coalition group within the kernel set to ensure that participants, such as platoons, gain higher payoffs by joining the coalition than they would individually. The coalition payoff function determines the optimal passage order. Secondly, we design a baseline strategy where the payoff and action obtained by the priority passage platoon in the coalition game serve as the baseline values. Finally, based on this strategy, we develop a bargaining game model where the priority passage platoon acts as the bargainer, while other platoons act as the other party, with baseline payoff and action serving as constraints. The Nash equilibrium identifies the optimal passage order for the priority passage platoon. We conduct 3 experiments: experiment 1 evaluates the effectiveness of the coalition game model; experiment 2 tests the effectiveness of the bargaining game model; and experiment 3 assesses the effectiveness of the game scheduling method in reducing vehicle travel costs and compares it with existing methods. The results demonstrate that our proposed game scheduling method not only reduces the travel costs of the priority passage platoon but also minimizes its impact on other vehicles to the greatest extent possible.INDEX TERMS Autonomous intersection, baseline payoff, game scheduling, priority passage request, vehicle platoon.

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A Two-Stage Optimization Method for Schedule and Trajectory of CAVs at an Isolated Autonomous Intersection

Cited by 36 publications

References 52 publications

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

CAI²M²: A Centralized Autonomous Inclusive Intersection Management Mechanism for Heterogeneous Connected Vehicles

Game Scheduling for Vehicle Platoons at Autonomous Intersection Accommodating Priority Passage Requests

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A Two-Stage Optimization Method for Schedule and Trajectory of CAVs at an Isolated Autonomous Intersection

Cited by 36 publications

References 52 publications

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles

CAI2M2: A Centralized Autonomous Inclusive Intersection Management Mechanism for Heterogeneous Connected Vehicles

Game Scheduling for Vehicle Platoons at Autonomous Intersection Accommodating Priority Passage Requests

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CAI²M²: A Centralized Autonomous Inclusive Intersection Management Mechanism for Heterogeneous Connected Vehicles