Guanghui Zhao 
REDEFINING TRAFFIC: HOW AI LEADS THE CHANGE [EPUB ebook] 
How AI Leads the Change

Advances in Artificial intelligence (AI) have redefined research and development in many areas, particularly in the direction of engineering research, application of machine learning, and the use of deep learning in many aspects of engineering research.

This book looks at the impact of AI and how it has transformed transportation in the form of Smart Traffic Management Systems in a world of unmanned systems and autonomous machines. The book explores the problems faced in air, sea and land transport and traffic. It looks into Unmanned Aerial Vehicles (UAVs), autonomous and remotely-operated ships, intelligent port management systems, and modern urban railway systems.

Redefining Traffic is a reference book for researchers, engineers, and technical personnel specializing in intelligent traffic, artificial intelligence, big data, and the Internet of Things (Io T). It can also be used as a study guide for advanced undergraduates interested in AI, vehicle engineering, automation, and computing.

Contents:

• Artificial Intelligence: A New Way to Lead Future Traffic


• Unmanned Driving: The Traffic Revolution Sweeping the World


• From Unmanned Driving to Intelligent Transportation


• Application of Unmanned Driving Technology in Urban Rail Transit


• Practical Application of an Unmanned Aerial Vehicle in Intelligent Traffic Management


• Unmanned Ship: The Inevitable Choice of the Strategy of Building a Powerful Maritime Country


• Unmanned Port: Application of Electrical Automation in Ports


• Unmanned Wharf: Disruptive Change in the Automatic Wharf

Readership: Researchers, engineers, and technical personnel specialising in intelligent traffic, artificial intelligence, big data, and the Internet of things industry.

Key Features:

• The book is a good reference for researchers and engineers working on intelligent traffic management systems


• It could also be used as a study guide for advanced readers interested in artificial intelligence, vehicle engineering, automation, and computing