Team

Team Pedraforca from Optare Solutions

Santiago Rodriguez & Fernando Lamela with Jury members Bob Gazda (InterDigital) and Jyoti Sharma (5GAA Board/Verizon)

Introduction

A connected vehicle (car) that with the support of 5G, MEC and artificial intelligence technologies is able to capture information from the surrounding environment and feed a smart city platform with this information which can predict and adopt several actions for the good of people.

The information retrieved by the car and sent to the platform is collected by three different ways:

camera: the car is equipped with a camera that sends a video stream to the edge over which is executed an AI inference algorithm to detect several patterns and generate information packages relevant to the smart city platform
sensors: the car is equipped with several sensors (temperature, humidity, …) that can create heat maps with this information to the smart city
the smart city itself. In regions/areas where the city information sources are isolated (low power, low signal quality, bad coverage due maintenance, weather conditions, etc), the car can act like a link between the information source and the smart city platform, uploading this information in the next available coverage area crossed by the car in its route.

Every information contribution to the smart city could be rewarded with points that can be exchanged with tax discounts, for example, guaranteeing the participation of the people establishing missions with a different degree of value. Every connected car can register on the smart city platform and provide several information about the city and people.


Name of the project	Description	MEC APIs supported
Innovation		Digital divide of 5g end edge in some areas because its complexity and the cost to bring. The mobile backhaul via vehicular net could help on that proposing a network and computation for agriculture and remote industries
Use-Case / Solution Credibility		Create a platform with capability for sending and receive data using the different edge covered areas and using cheap and autonomous equipment for a quick deployment. Integrated demo is created for hackathon
Use of ETSI MEC Services		MEC013 for location information, MEC012 for radio network information, MEC021 for mobility and depending on the availability of more than one sandbox mep, MEC030 related with V2X and the automotive blueprint MEC011 for application registration, mec service discovery
Use of LF Edge Akraino Blueprints		Checked the Elliot Manager and Nodes. Needs a continuum connectivity among the components and this is not possible in this architecture. Follow some APIs for upload new app images. Tested MEC-based Stable Topology Prediction for Vehicular Networks but similar and more evolved with MEC030
Deliverable		Developed all the sw components running in a demo environment. Designed the autonomous antenna (Spanish self delivery frequency and edge platform). Tested with a wifi connection and a static 5G antenna