World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×
Spring Sale: Get 35% off with a min. purchase of 2 titles. Use code SPRING35. Valid till 31st Mar 2025.

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.
Redefining Traffic cover
Also available at Amazon and Kobo

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 (IoT). It can also be used as a study guide for advanced undergraduates interested in AI, vehicle engineering, automation, and computing.

Sample Chapter(s)
Introduction
Chapter 1: Artificial Intelligence: A New Way to Lead Future Traffic

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.