Real-time responsive physical and digital infrastructure for CCAM-enabled traffic management of cross-border highways

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Institute of Electrical and Electronics Engineers (IEEE)

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In this paper, we showcase a testbed implementation of the cutting-edge architecture derived from the ongoing European project PoDIUM. This project is dedicated to advancing the implementation of Cooperative, Connected and Automated Mobility (CCAM) technology. The provided use case introduces a novel system designed to facilitate collaboration between vehicles, road users, and road operators, enabling the implementation of real-time traffic strategies to ensure safe and efficient traffic flow. The Physical and Digital Infrastructure (PDI) system integrates internal and external data to create a comprehensive perception of traffic conditions along road sections. Utilizing this information, the system generates potential scenarios and formulates traffic management strategies. The primary goal is to ensure the safe and efficient flow of traffic in mixed traffic conditions. The appropriate traffic control strategies are dynamically selected in real-time, utilising information obtained from connected vehicles (CVs) and vehicle detection through video cameras equipped with image recognition capabilities. These strategies are then communicated to Connected and Automated Vehicles (CAV), which autonomously adhere to them whenever feasible. Furthermore, the infrastructure facilitates the optimal dissemination of awareness and perception information among CVs in the area, thereby enhancing safety and coordination among them.

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Casademont, J. [et al.]. Real-time responsive physical and digital infrastructure for CCAM-enabled traffic management of cross-border highways. A: International Conference on Transparent Optical Networks. "24th ICTON 2024, International Conference on Transparent Optical Networks: July 14th-18th, 2024, Bari, Italy: conference proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-4. ISBN 979-8-3503-7732-3. DOI 10.1109/ICTON62926.2024.10648071 .

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979-8-3503-7732-3

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