Autonomous and Connected Heavy Vehicle Technology

Autonomous and Connected Heavy Vehicle Technology provides insights into the fundamentals, definitions, technologies, standards, and future developments of autonomous and connected heavy vehicles. It covers key physical, cyber-physical, and computational aspects related to connected vehicles, including edge computing, dynamic resource optimization, engineering process, methodology, and future directions. The book also includes case studies and an analysis of research problems, offering solutions for graduate-level students from various engineering disciplines.

Format: Paperback / softback
Length: 454 pages
Publication date: 24 January 2022
Publisher: Elsevier Science & Technology

Autonomous and Connected Heavy Vehicle Technology delves into the core principles, definitions, technologies, standards, and emerging advancements of self-driving and connected heavy vehicles. This comprehensive book offers valuable insights into diverse aspects of heavy vehicle technology, empowering users to create autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing, and cognition analysis. It comprehensively covers various physical, cyber-physical, and computational key points related to connected vehicles, including edge computing, dynamic resource optimization, engineering process, methodology, and future directions. Additionally, the book features a diverse array of case studies that aid in identifying research problems and conducting an in-depth analysis of the issues, leading to the formulation of comprehensive solutions. Serving as a vital resource for graduate-level students across engineering disciplines such as automotive and mechanical engineering, computer science, data science, and business analytics, this book combines both fundamental concepts and advanced-level content, curated by esteemed technical experts.

Weight: 960g
Dimension: 191 x 235 x 26 (mm)
ISBN-13: 9780323905923