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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
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