Autonomous and Connected Heavy Vehicle Technology

Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards, and future developments of autonomous and connected heavy vehicles. This book provides insight into various issues pertaining to heavy vehicle technology and helps to develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing, and cognition analysis. Various physical, cyber-physical and computational key points are covered related to connected vehicles along with concepts such as edge computing, dynamic resource optimization, engineering process and methodology, and future directions. It also contains a wide range of case studies that help to identify research problems, an analysis of the issues and synthesis solutions. An essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics, this book combines both basic concepts and advanced level contents from technical experts towards the advancement of emerging technologies in applications of heavy vehicle technology. Covers the state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, vehicle software and hardware integration Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, cognitive and predictive analysis Provides complete product development, commercial deployment, technological and performing costs, and scaling need