Self-optimizing Networked Edge Control for Cooperative Vehicle Autonomy (SELF4COOP)

Overview:

The objective of SELF4COOP is to develop the basic building blocks that will be necessary to enable next-generation, on-demand mobility services based on cooperative driving vehicles. The candidate will work on the development of cooperative driving maneuvers which will be supported by heterogeneous communication technologies (such as IEEE 802.11p and 5G C-V2X) through an abstraction layer that will enable the seamless transition between them. Different technologies might be used in different contexts depending on the control requirements. In addition, the candidate will work on the definition of Multi-access Edge Computing (MEC) applications which will drive remote cooperative maneuvers, analyzing the requirements and defining intelligent ways of migrating such applications to guarantee the necessary quality of service. Finally, the candidate will work on the performance evaluation of the above systems, both in a simulated and in an emulated environment through the use of a testbed of small-scale cooperative driving vehicles. The latter will be used to develop a proof-of-concept for a subset of the cooperative driving maneuvers developed within the project.

Website: https://self4coop.eu

Outputs:

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