Growth in urbanisation, particularly in emerging economies, is causing increased traffic congestion and affecting environmental conditions in cities. Cities need to manage this growth in traffic in an efficient way. Intelligent infrastructure for traffic monitoring and sensing offers a potential solution, and so this book explores the prospective role of this approach in managing congestion, the established and emerging related technologies, and routes to effective implementation.
Intelligent infrastructure will also play an important role in the future automation of vehicles. Onboard sensor technology is well-established, but higher levels of vehicle automation are difficult to achieve without additional sensing technology on the infrastructure side. Thanks to recent advances in device and software technology, new and innovative approaches to intelligent sensing infrastructure, both fixed and onboard, can be implemented. The development and deployment of automated vehicles is a hot topic, with early versions potentially entering the market within 5-8 years, so as an overview of developments in the field this book is timely and relevant.
The book systematically covers the key elements of intelligent infrastructure. It begins with the architectures and projects in key regions, and then continues with coverage of novel technologies for vehicle, bicycle and pedestrian detection using different kinds of recognition technology. The third part describes technology for detecting traffic conditions such as incidents, illegal parking and adverse weather.
Smart Sensing for Traffic Monitoring offers methodically presented information for researchers, practitioners, and advanced students with an interest in the technologies behind intelligent infrastructure and traffic monitoring.
ISBN: | 9781785617744 |
Publication date: | 1st February 2021 |
Author: | Nobuyuki Ozaki |
Publisher: | Institution of Engineering and Technology an imprint of The Institution of Engineering and Technology |
Format: | Hardback |
Pagination: | 252 pages |
Series: | Transportation |
Genres: |
Intelligent and automated transport system technology |