Editors:
State-of-the-art mathematical models by leading experts in the field of congestion charging
Includes supplementary material: sn.pub/extras
Part of the book series: Applied Optimization (APOP, volume 101)
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Table of contents (10 chapters)
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Front Matter
About this book
Although transportation economists have advocated the tolling of urban streets as a mechanism for controlling congestion and managing travel demands for over 50 years, it is only recently that this idea has become practical. When compared to the alternative of building more roads, congestion pricing - in particular via electronic tolling - is attractive and has been adopted in countries around the world. Recent implementations in London, Singapore, and various cities in Norway, as well as a number of projects in the United States, have been judged successful.
This book presents rigorous treatments of issues related to congestion pricing. The chapters describe recent advances in areas such as mathematical and computational models for predicting traffic congestion, determining when, where, and how much to levy tolls, and analyzing the impact of tolls on transporation systems. The analyses and methodologies developed in this book provide:
- Mechanisms that aid in determining and comparing congestion pricing schemes
- Methodologies for evaluating the efficiency of existing and proposed congestion pricing schemes
- A means to predict the impact of pricing on urban transporation systems
- Information essential to the financial and political success of congestion pricing programs.
Keywords
- Congestion pricing
- Network analysis
- RID
- Transport
- Transportation planning
- United States
- Variational inequality
- calculus
- optimization
Editors and Affiliations
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University of Florida, Gainesville, USA
Siriphong Lawphongpanich, Donald W. Hearn
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The University of York, UK
Michael J. Smith
Bibliographic Information
Book Title: Mathematical and Computational Models for Congestion Charging
Editors: Siriphong Lawphongpanich, Donald W. Hearn, Michael J. Smith
Series Title: Applied Optimization
DOI: https://doi.org/10.1007/0-387-29645-X
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag US 2006
Hardcover ISBN: 978-0-387-29644-9Published: 27 January 2006
Softcover ISBN: 978-1-4614-9773-8Published: 20 November 2014
eBook ISBN: 978-0-387-29645-6Published: 05 June 2006
Series ISSN: 1384-6485
Edition Number: 1
Number of Pages: X, 240
Topics: Optimization, Transportation, Automotive Engineering, Applications of Mathematics, Operations Research/Decision Theory, Regional/Spatial Science