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This book provides fundamental principles of intelligent transport systems with comprehensive insight and state of the art of vehicles, vehicular technology, connecting vehicles, and intelligent vehicles/autonomous intelligent vehicles. The book discusses different approaches for multiple sensor-based multiple-objects tracking, in addition to blockchain-based solutions for building tamper-proof sensing devices. It introduces various algorithms for security, privacy, and trust for intelligent vehicles. This book countermeasures all the drawbacks and provides useful information to students, researchers, and scientific communities. It contains chapters from national and international experts and will be essential for researchers and advanced students from academia, and industry experts who are working on intelligent transportation systems.

Intelligent Transportation Systems: Theory and Practice

Wired Technology.- Wireless Technologies.- Introduction, History, Standardization, Frameworks, Models of Vehicular Networks.- Vehicular Ad Hoc Networks: Architectures, Research Issues, Challenges and Trends.- Vehicular Cloud Computing - Introduction to Cloud Based Vehicles.- Autonomous Vehicles and Intelligent Transportation Systems - A Framework of Intelligent Vehicles.- Realistic Vehicular Mobility Models for AIV.- An Integrated GPS/ IMU/ etc., Positioning Approach (based on Artificial Intelligence) Vehicle Navigation Using Global Views (using Machine Learning and Deep Learning).- Machine Learning and Deep Learning Techniques Enabled Intelligent Vehicles.- Edge Computing in Navigation of Intelligent Vehicles.