Performance Analysis of Cooperative Intersection Collision Avoidance with C-V2X Communications

Wu, Qianqian; Zhou, Siyuan; Pan, Chao; Tan, Guoping; Zhang, Zhi; Zhan, Jiali

doi:10.1109/icct50939.2020.9295949

Cited by 6 publications

(2 citation statements)

References 15 publications

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“…A widely adopted protocol for Vehicle-to-Vehicle (V2V) and V2I communication is Dedicated Short-Range Communication (DSRC), a wireless technology designed specifically for V2X communications 30 . 31 Another prevalent V2I communication system is Cellular Vehicle-to-Everything (C-V2X), where vehicles transmit messages using cellular infrastructure or direct mode, considering factors like bias factors, vehicle distances, and propagation environments. 32 Alternative V2I communication systems proposed include infrastructural connections with WiFi or WiFiMax, 33 and a hybrid approach involving both V2V and V2I.…”

Section: V2x Communicationmentioning

confidence: 99%

Traffic light recognition and V2I communications of an autonomous vehicle with the traffic light for effective intersection navigation using YOLOv8 and MAVS simulation

Rahman,

Islam,

Ball

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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We integrate advanced computer vision and Vehicle-to-Infrastructure (V2I) communication systems for effective intersection navigation. In the first phase, the YOLOv8 deep learning model is employed to accurately detect traffic lights, with specialized training on the S2TLD Dataset for precision. Then we establish seamless V2I communication in MAVS Simulation, allowing vehicles to receive Signal Phase and Timing (SPaT) messages from traffic lights, enabling autonomous adjustment of speed and behavior. Simulating the scenarios in a high-fidelity automotive simulator demonstrates accurate traffic light detection and timely phase information, promising safer and more efficient intersection navigation for autonomous vehicles.

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Section: V2x Communicationmentioning

confidence: 99%

Traffic light recognition and V2I communications of an autonomous vehicle with the traffic light for effective intersection navigation using YOLOv8 and MAVS simulation

Rahman,

Islam,

Ball

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

View full text Add to dashboard Cite

show abstract

“…• In automotive, connected devices will be vital to maintain a streamlined transportation infrastructure, where the transportation needs of humans and goods can be met most safely and seamlessly possible. The sensors around the transportation grid will provide real-time traffic updates to the active vehicles, which will negotiate their optimal routes as they drive in dense platoons, not unlike ants and migrating birds [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Signaling Design for Cooperative Resource Allocation and Its Impact to Message Reliability

Bruun,

García,

Sørensen

et al. 2023

IEEE Access

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Decentralized cooperative resource allocation schemes for robotic swarms are essential to enable high reliability in high throughput data message exchanges. These cooperative schemes require control signaling to avoid half-duplex problems at the receiver and mitigate interference. We propose two cooperative resource allocation schemes, device sequential and group scheduling, and introduce a control signaling design. We observe that failure in the reception of these control signals lead to noncooperative behavior and to significant performance degradation. The cause of these failures is identified, and specific countermeasures are proposed and evaluated through extensive system level simulations. The key performance indicators are data message reliability and the packet inter-reception metric. As our main reference, we compare the proposed resource allocation schemes against the NR sidelink mode 2 resource allocation, and show that despite signaling has a significant impact on resource allocation performance, our proposed device sequential and group scheduling resource allocation schemes improve reliability by an order of magnitude compared to sidelink mode 2.

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Vehicle-to-everything (V2X) in the autonomous vehicles domain – A technical review of communication, sensor, and AI technologies for road user safety

Adnan Yusuf,

Khan,

Souissi

2024

Transportation Research Interdisciplinary Perspectives

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Performance Analysis of Cooperative Intersection Collision Avoidance with C-V2X Communications

Cited by 6 publications

References 15 publications

Traffic light recognition and V2I communications of an autonomous vehicle with the traffic light for effective intersection navigation using YOLOv8 and MAVS simulation

Traffic light recognition and V2I communications of an autonomous vehicle with the traffic light for effective intersection navigation using YOLOv8 and MAVS simulation

Signaling Design for Cooperative Resource Allocation and Its Impact to Message Reliability

Vehicle-to-everything (V2X) in the autonomous vehicles domain – A technical review of communication, sensor, and AI technologies for road user safety

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