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Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.

vehicular networks --- 5G --- C-RAN --- resource allocation --- edge computing --- optimization --- vehicle-to-everything communication --- pedestrian --- vehicles --- safety --- automotive --- damper --- convolutional neural networks --- fault detection --- diagnosis --- machine learning --- deep learning --- connected vehicles --- reconfigurable meta-surface --- smart environment --- cooperative driving --- vulnerable road user detection --- collision probability --- probabilistic flooding --- vehicular communication --- visible light communications --- 5G networks --- smart vehicles --- field trials --- infrastructure-to-vehicle --- vehicle-to-vehicle --- Intelligent Transportation Systems --- Visible Light Communication --- Fresnel lenses --- AODV --- end-to-end delay --- packet loss ratio --- throughput --- VANET --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Connected and automated vehicles have revolutionized the way we move, granting new services on roads. This Special Issue collects contributions that address reliable and ultra-low-latency vehicular applications that range from advancements at the access layer, such as using the visible light spectrum to accommodate ultra-low-latency applications, to data dissemination solutions. Further, articles discuss edge computing, neural network-based techniques, and the use of reconfigurable intelligent surfaces (RIS) to boost throughput and enhance coverage.

History of engineering & technology --- vehicular networks --- 5G --- C-RAN --- resource allocation --- edge computing --- optimization --- vehicle-to-everything communication --- pedestrian --- vehicles --- safety --- automotive --- damper --- convolutional neural networks --- fault detection --- diagnosis --- machine learning --- deep learning --- connected vehicles --- reconfigurable meta-surface --- smart environment --- cooperative driving --- vulnerable road user detection --- collision probability --- probabilistic flooding --- vehicular communication --- visible light communications --- 5G networks --- smart vehicles --- field trials --- infrastructure-to-vehicle --- vehicle-to-vehicle --- Intelligent Transportation Systems --- Visible Light Communication --- Fresnel lenses --- AODV --- end-to-end delay --- packet loss ratio --- throughput --- VANET --- vehicular networks --- 5G --- C-RAN --- resource allocation --- edge computing --- optimization --- vehicle-to-everything communication --- pedestrian --- vehicles --- safety --- automotive --- damper --- convolutional neural networks --- fault detection --- diagnosis --- machine learning --- deep learning --- connected vehicles --- reconfigurable meta-surface --- smart environment --- cooperative driving --- vulnerable road user detection --- collision probability --- probabilistic flooding --- vehicular communication --- visible light communications --- 5G networks --- smart vehicles --- field trials --- infrastructure-to-vehicle --- vehicle-to-vehicle --- Intelligent Transportation Systems --- Visible Light Communication --- Fresnel lenses --- AODV --- end-to-end delay --- packet loss ratio --- throughput --- VANET