The key aim of Cog Mob is to provide a holistic view of how mobility in a broader aspect can be understood, described (modeled), and optimized as the blended combination of artificial and natural/ human cognitive systems. It considers the whole combination as one unseparable Cog Mob system and investigates what kind of new cognitive capabilities of this Cog Mob system are emerging. One of the Cog Mob focus areas, based on its nature, is the engineering applications in the mobility domain.

Contributions are expected from the following areas:

· Cognitive connected vehicles

· Safety and security of ITS-related cognitive systems

· Cognitive aspects of orientation and navigation

· Advanced electric vehicles

· Augmented conventional vehicle drives

· Machine learning for vehicle and traffic control

· AI, Maschine- and deep learning in transport

· Cognitive synergies of mobility and agriculture

· Sustainable and cognitive transport systems

· Smart infrastructure

· Evaluation of externalities of smart mobility systems