Cooperative Awareness Messages' Generation Frequencies, Trigger Distributions, and Pseudonym Changes of First Commercially Deployed Vehicles in Real Operating Scenarios

Article Engineering, Civil

Joint Secure Offloading and Resource Allocation for Vehicular Edge Computing Network: A Multi-Agent Deep Reinforcement Learning Approach

Ying Ju et al.

Summary: This paper proposes a deep reinforcement learning based joint secure offloading and resource allocation scheme to improve the secrecy performance and resource efficiency of multi-user vehicular edge computing networks.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

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Article Chemistry, Analytical

Does Vehicle-2-X Radio Transmission Technology Need to Be Considered within Accident Analysis in the Future?

Maximilian Bauder et al.

Summary: This analysis investigates the need for differentiating Vehicle-to-X transmission technologies in accident analysis by creating Cooperative Intelligent Transportation System scenarios. The distances between vehicles are calculated prior to crashes in each scenario. The study compares Dedicated Short-Range Communication (IEEE 802.11p) and Cellular Vehicle-to-X communication (LTE-V2C PC5 Mode 4) to assess their reliable connection over relevant distances. Findings show that studies on freeways and rural roads are independent of transmission technology, while urban areas may have unreliable connections depending on traffic density.

SENSORS (2022)

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Proceedings Paper Computer Science, Information Systems

Latency-aware C-ITS application for improving the road safety with CAM messages on the Smart Highway testbed

Vincent Charpentier et al.

Summary: The Cooperative Intelligent Transportation System (C-ITS) testbed, also known as the Smart Highway, is designed to facilitate research in the areas of distributed/edge computing and vehicular communications. It utilizes the Cooperative Awareness Basic Service to exchange Cooperative Awareness Messages (CAMs) between C-ITS entities, supporting vehicular safety and traffic efficiency applications. This paper investigates the impact of CAM message configuration on communication latency among vehicles, and performs practical experimentation using ITS-G5 and LTE-V2X systems on the Smart Highway testbed in Antwerp.

IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) (2022)

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Proceedings Paper Computer Science, Information Systems

Assessing the impact of CAM messages in vehicular communications in real highway environments

Vincent Charpentier et al.

Summary: This paper presents a tool to support research on Cooperative Awareness Messages (CAMs) in Cooperative Intelligent Transportation Systems (C-ITS). The demo showcases how the size of CAMs carrying information about vehicles and surrounding infrastructure affects latency. The proposal is tested in a real life C-ITS testbed at the Smart Highway in Antwerp, Belgium.

IEEE INFOCOM 2022 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) (2022)

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Proceedings Paper Telecommunications

Benchmarking the Cooperative Awareness Service at Application Layer with IEEE 802.11p and LTE-PC5 Mode-4

Charmae Franchesca Mendoza et al.

Summary: Vehicular communications have the potential to disrupt mobility services and enable the mass adoption of autonomous vehicles, with regulators allocating specific spectrum at 5.9 GHz band for ITS safety applications. Two main technologies, IEEE 802.11p and LTE-PC5 Mode-4, are currently positioned for commercial deployment, differing in their channel access mechanisms.

2021 IEEE INTERNATIONAL MEDITERRANEAN CONFERENCE ON COMMUNICATIONS AND NETWORKING (IEEE MEDITCOM 2021) (2021)

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Article Computer Science, Information Systems