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Mobile Edge Computing (MEC) is a key enabler for the deployment of vehicular use cases, as it guarantees low latency and high bandwidth requirements. In this paper, we propose a MEC-based cooperative Collision Avoidance (MECAV) system designed to anticipate the detection and localization of road hazards. It includes a Collision Avoidance service, allocated in the MEC infrastructure, which receives information of status and detected hazards from vehicles, processes this information, and selectively informs to each vehicle that either approaches to road hazards or to other vehicles. We have implemented a proof-of-concept of the MECAV system and we have validated its architecture and functionalities.

Cooperative, connected and automated mobility (CCAM) services along different countries require cross-border solutions to support seamless delivery of services in a multioperator, multi-telco-vendor, and multi-car-manufacturer scenario. The H2020 5GCroCo project will trial 5G technologies in the European cross-border corridor along France, Germany and Luxembourg, as well as in five small-scale trial sites. 5GCroCo analyses three cross-border use cases: tele-operated driving, highdefinition map generation and distribution for autonomous vehicles, and anticipated cooperative collision avoidance (ACCA). This paper presents the infrastructure, control architecture, backend software, and end-to-end service orchestration of the cross-border ACCA use case deployed in the Barcelona small-scale trial site.

Cooperative-Intelligent Transport Systems (C-ITS) are one of the flagships of new coming automotive and communication industries. Mobility needs to be safer and more efficient and C-ITS are the key for this new era. On the one hand, organizations like ETSI, IEEE, SAE, 3GPP or ISO are developing the standards for the new technologies and protocols and, on the other, manufacturers and operators are deploying and testing their first pilots. In this paper, we present a pilot developed by a group of stakeholders, in which vehicles will alert drivers of potential collisions with vulnerable road users riding bicycles. It is a multidisciplinary project where there are different architecture components: C-ITS stations integrated in vehicles, vehicles provided with digital cockpits that show warning messages to the driver, low-cost C-ITS stations attached to bicycles which are equipped with a high precision location system based on the fusion of different information sources as GPS, inertial sensors and Ultra Wide Band ranging and finally communication between C-ITS stations is provided by a network that supports low delay C-V2X communications with a Multi-access Edge Computing which takes routing decisions.