Intelligent Technologies for Vehicular Networks - Yolanda Blanco Fernández

This Reprint presents ten contributions on recent advances in intelligent vehicular networks and transport systems, addressing data management, security, privacy, and communication in high mobility environments. Topics include geocast routing for highways, enhanced vehicular network simulations, cyber-physical platforms for intelligent vehicles, and UAV-assisted mobile edge computing with deep reinforcement learning for resource optimization.

Security and data integrity are explored through blockchain-based video management and distributed ledger positioning for vehicle swarms. Additional works cover drone-assisted truck platooning, network slicing for vehicular communications, safety applications for vulnerable road users, and hierarchical deep reinforcement learning for pedestrian collision avoidance in autonomous driving. These contributions showcase current research directions focused on enhancing safety, efficiency, connectivity, and reliability in next-generation intelligent transportation systems.