Hack2022 3rd Prize

3^rd Prize Award & Automotive special prize

K.I.T.T Knowledge in the traffic

Team

Team Pedraforca from Optare Solutions

• Xose Ramon Sousa Vazquez
• Santiago Rodriguez Garcia
• Fernando Lamela Nieto

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.

File:Hack2022-optare-architecture1.png

• 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.

Architecture

MMTC Edge (Operator2) <-> Car

Car <-> Operator 1 Network