Autonomous and Connected Heavy Vehicle Technology
Published on 18. January 2022
454 pages
978-0-323-90715-6 (ISBN)
Description
Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users 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 related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions.
The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts.
- Covers state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, and vehicle software and hardware integration
- Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysis
- Provides complete product development, commercial deployment, technological and performing costs and scaling needs
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Other editions
Additional editions
Rajalakshmi Krishnamurthi | Adarsh Kumar | Sukhpal Singh Gill
Autonomous and Connected Heavy Vehicle Technology
Book
01/2022
Academic Press
€170.50
Shipment within 15-20 days
Content
SECTION 1 Review articles1 Lightweight and heavyweight technologies for autonomous vehicles: A survey2 Cybercrimes and defense approaches in vehicular networks3 Autonomous driving systems and experiences: A comprehensive survey4 Applications of blockchain in automated heavy vehicles: Yesterday, today, and tomorrow5 Eco-routing navigation systems in electric vehicles: A comprehensive survey
SECTION 2 Implementation or Simulation-based study for heavy vehicles technologies6 Automatic vehicle number plate detection and recognition systems: Survey and implementation7 A secured IoT parking system based on smart sensor communication with two-step user verification8 Man-and-wife coupling and need for artificially intelligent heavy vehicle technology in The Long, Long Trailer9 Pulse oximeter-based machine learning models for sleep apnea detection in heavy vehicle drivers10 Using wavelet transformation for acoustic signal processing in heavy vehicle detection and classification11 Congestion control mechanisms in vehicular networks: A perspective on Internet of vehicles (IoV)12 Smart traffic light management system for heavy vehicles13 Smart automated system for classification of emergency heavy vehicles and traffic light controlling14 Implementation of a cooperative intelligent transport system utilizing weather and road observation data
SECTION 3 Applications and case studies for heavy vehicles technologies15 Heavy vehicle defense procurement use cases and system design using blockchain technology16 Cybercriminal approaches in big data models for automated heavy vehicles17 Modeling fuel economy of connected vehicle based on road dynamics and driving style18 Conceptual design and computational investigations of fixed wing unmanned aerial vehicle for medium-range applications19 Multi-sensor fusion in autonomous heavy vehicles20 Smart vehicle accident detection for flash floods
