AI-Enabled 6G Networks and Applications

3Henry Gas Solubility Optimization with Deep Learning Enabled Traffic Flow Forecasting in 6G Enabled Vehicular Networks

José Escorcia‐Gutierrez^1,2, Melitsa Torres‐Torres³, Natasha Madera⁴ and Carlos Soto⁵

¹ Research Center ‐ CIENS, Escuela Naval de Suboficiales ARC Barranquilla, Barranquilla, Colombia

² Biomedical Engineering Program, Corporación Universitaria Reformada, Barranquilla, Colombia

³ Research Group IET‐UAC, Universidad Autónoma del Caribe, Barranquilla, Colombia

⁴ Mechatronics Engineering Program, Universidad Simón Bolívar, Barranquilla, Colombia

⁵ Mechanical Engineering Program, Universidad Autónoma del Caribe, Barranquilla, Colombia

3.1 Introduction

The constant progression to the 6G wireless transmission technique overcomes stringent computation, storage, power, and privacy limitations for making an intelligent and efficient next generation transport scheme to improve driving experience and mitigate traffic jams in vehicular ad hoc networks (VANETs) [1, 2]. Along with 6G technique, higher throughput, higher availability, and higher reliability are empowered in VANET. Due to the infrastructure improvement and economic growth, work and people’s lives have not been confined to a certain city. The social activity related to many cities became an essential prerequisite of our day‐to‐day life [3]. Like a connection between two cities, highways certainly play a major role in our day‐to‐day life and work. When a road is occasionally closed or traffic jam occurs because ...