Urban Traffic Analysis and Con

ISBN 10: 1839537167 / ISBN 13: 9781839537165

Published by The Institution of Engineering and Technology, 2025

About this Item

Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

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Bibliographic Details

• Title: Urban Traffic Analysis and Con
• Publisher: The Institution of Engineering and Technology
• Publication Date: 2025
• Language: English
• ISBN 10: 1839537167
• ISBN 13: 9781839537165
• Binding: Hardcover
• Condition: Good

About this title

Synopsis

Urban Traffic Analysis and Control: The key challenges in the era of ITS explores urban traffic control strategies. It provides a comprehensive overview of traffic management methods, focusing on both static and dynamic applications. The book addresses issues related to transportation planning, or simpler cases where real-time adaptive control is not necessary, as well as traffic control applications based on real-time monitoring and dynamic models or data-driven methods for flow prediction.

Notably, this is the first book to address both fixed and adaptive signal-setting design, offering theory and practical applications at both the intersection and network-wide levels. It also incorporates the latest developments in Intelligent Transportation Systems, particularly how technologies impact traffic analysis and control. Additionally, the book discusses strategies for optimizing impacts related to safety, noise, fuel consumption, and emissions.

The four main topics covered are:

• Methods for estimating dynamic traffic flows and evaluating performance;
• Traffic control strategies, with a primary focus on signal coordination;
• The impact of emerging technologies on enhancing traffic signals and management;
• Methods for evaluating externalities (such as safety, emissions, energy consumption, and noise).

The book is intended to serve as a reference work for academic researchers and graduate students in the field of Intelligent Transportation Systems, as well as professionals and consultants working in this area.

About the Authors

Roberta Di Pace is an associate professor at the University of Salerno, Italy. She is a member of the IEEE; a board member of the Intelligent Transportation System Society - Italian Chapter; and a board member of the IEEE WIE AG Italy. She is an academic editor for the Journal of Advanced Transportation, Mathematical Problems in Engineering, and Smart Cities.

Giulio E. Cantarella is a full professor in Transportation Engineering at the University of Salerno, Italy. He has been a full professor since 1994, and has worked at the Department of Civil Engineering of the University of Salerno since 1999. From 1992 to 1994 he was associate professor of Transportation Systems. From 1990 to 1992 he was assistant professor of Operations Research. From 1986 to 1989 he was a fixed-term associate professor of Operations Research.