This up-to-date reference discusses important concepts of vehicular communication in intelligent transportation systems. Augmented Intelligence Toward Smart Vehicular Applications begins by discussing key objectives of intelligent transport systems and vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications and future trends in VANETs. The text focuses on the organization of artificial intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. This book will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and transportation engineering.

Features






In-depth coverage of Internet of Things (IoT) in vehicular applications
Discussion on nn-vehicle sensor networks
Implementation of mobile IP and migration of IPv6
Focus on the need of AI in smart vehicular applications
Discussions on advanced concepts in the field of intelligent transport systems