About the BOOK: Driving Green Transportation System Through Artificial Intelligence and Automation: Approaches, Technologies, and Applications


Driving Green Transportation System Through Artificial Intelligence and Automation: Approaches, Technologies, and Applications

Remember Important Dates

  •   Book CFP Information:   Green-Transportation-System-2024
  •   Book Submission: Submit Green-Transportation-System-2024
  • Abstract registration deadline: June 10, 2024
  • Acceptance Notification: June 15, 2024
  • Full-Chapter Submission deadline: July 31, 2024
  • Full-Length Chapter Decision: August 01, 2024
  • Revised Chapter Submission: August 01, 2024
  • Springer Nature AG Agreement: August 10, 2024

Editor's contacts

All questions about submissions should be emailed to

Prof. Dr. Alex Khang
  • Professor of Information Technology, D.Sc., D.Litt.
  • AI and Data Scientist
  • Global Research Institute of Technology and Engineering
  • North Carolina, United States
  • ORCID: 0000-0001-8379-4659
  • alex.khang@outlook.com
Abstracting and Indexing
  • All Springer Nature publications have a direct indexed by WoS and Scopus.
  • At present, WoS contains 10,000+ books and Springer Nature in the top ten contributing publishers.


Driving Green Transportation System Through Artificial Intelligence and Automation: Approaches, Technologies, and Applications

The book explores the intersection of many cutting-edge technologies such as Artificial Intelligence, Automation, Software Defined Vehicles, Internet of Things, Sensors, UAV Wireless Communication, and their potential to drive the smart transportation system in green environments. This technical description provides an overview of the key concepts, approaches, technologies, and applications covered in the book. The book begins with an introduction to the growing challenges of technologies in green and intelligent transportation environments. It highlights the increasing complexity and interconnectedness of modern systems, leading to vulnerabilities and the need for innovative solutions.

We really believe that the technologies and applications of the “Driving Green Transportation System Through Artificial Intelligence and Automation: Approaches, Technologies, and Applications” book will favor the people's aspirations.

Publication

Driving Green Transportation System Through Artificial Intelligence and Automation: Approaches, Technologies, and Applications book proceedings will be published by Springer Nature Press, Springer Nature Switzerland AG

Publication Charge

No Publication Charge

Benefits for Contributor

Each Contributor shall receive an ACADEMIC CERTIFICATE as the copyright of the Contribution and 01 complimentary eBook copy of the Work in which the Contribution appears.

List of Topics:

This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new theories and practices of the Green Transportation System Through Artificial Intelligence and Automation to resolve the challenging issues associated with the leveraging of the ten fields of Green Transportation Ecoystem, Software Defined Vehicles, Computer Vision, Self-Drive Car, Battery Electric Vehicles, Internet of Things, Sensors, UAV Wireless Communication, Quantum Computing, Cybersecurity, and Integration of AI in Automotive industry as well as Practical Implementations, Future Directions and Research Opportunities, and More about Green Transportation ecosystem.

You are invited to contribute chapters and papers and the scope of the book includes but is not limited to the following topics:

  • Role of Edge Technologies of Driving Green Transportation System
  • Automation AI in Green Transportation System
  • Generative AI in Smart Transportation System
  • Application of Computer Vision in Green Transportation System
  • Industrial Internet of Things in Green Transportation
  • Industrial Robotics of Things in Smart Transportation System
  • Real-time Applications in Transportation Management
  • Application of Sensor in Smart Transportation
  • Application of Blockchain in Smart Transportation
  • 3D Applications in Smart Transportation Management
  • Battery Electric Vehicles (BEVs)
  • Hydrogen-powered fuel cell vehicles (FCEVs)
  • Human-Centered Design in Smart Transportation System
  • Self-Driving Car Applications in Smart Transportation System
  • AI-Driven Autonomous Navigation for Smart Transportation System
  • Reliability of IIoT using RIS UAV Wireless Communication
  • Plate Recognition for Motorcyclists Riding without Helmet
  • Industrial Sensors in Smart Transportation System
  • 3D Modeling and Printing in Smart Transportation System
  • Quantum Computing in Green Transportation System
  • Transportation Cloud-Based Data Management System
  • Cyber security for Smart Transportation System