Investigation of Enabling Mechanisms for Green Driving Via 5G-and-Beyond Mobile Networks

The transition to sustainable and intelligent transportation systems is critical in addressing the growing challenges of urbanization, environmental degradation, and accessibility disparities. This thesis investigates the enabling mechanisms for green driving and smart connectivity through the integration of advanced network technologies, including 5G, edge and fog computing, Internet of Things (IoT) frameworks, and satellite communication. The research focuses on developing scalable and energy-efficient solutions that promote eco-friendly transportation, enhance safety for vulnerable road users, and extend connectivity to underserved areas. Key contributions include the design of IoT-based frameworks for green driving, leveraging adaptive routing strategies and real-time traffic monitoring to minimize energy consumption and reduce emissions. The Internet of Vehicles (IoV) is explored as a critical enabler of seamless communication between vehicles, infrastructure, and users, with innovative frameworks such as the DEDICAT-6G pedestrian safety model demonstrating significant advancements in collision prevention through edge-based processing. Additionally, the 5G Location Service (LCS) framework enhances precision and reliability in location tracking, supporting real-time decision-making for vehicular and pedestrian safety applications. The research also highlights the role of Low Earth Orbit (LEO) satellite networks in bridging connectivity gaps, particularly in rural and remote regions. By integrating satellite communication with terrestrial networks, the proposed hybrid architectures ensure ubiquitous coverage, enabling the deployment of intelligent transportation systems across diverse geographical areas. Furthermore, adaptive bandwidth mechanisms for IoT applications demonstrate the potential to optimize resource utilization in precision agriculture and other remote monitoring scenarios. The findings reveal that the synergies between these technologies provide a robust foundation for scalable, sustainable, and inclusive mobility solutions. However, the integration of diverse systems presents challenges related to interoperability, energy efficiency, and security, which require ongoing research and innovation. This thesis lays the groundwork for advancing green driving and smart connectivity, contributing to the global vision of sustainable urban development. By addressing critical challenges and proposing innovative solutions, this research offers a roadmap for leveraging next-generation networks to create intelligent, efficient, and equitable transportation ecosystems.