Overview
Part of the book series: Operations Research/Computer Science Interfaces Series (ORCS, volume 28)
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Table of contents (14 chapters)
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Front Matter
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General Aspects
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Application to Its
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Back Matter
Keywords
About this book
Schedule-Based Dynamic Transit Modeling: Theory and Applications outlines the new schedule-based dynamic approach to mass transit modeling. In the last ten years the schedule-based dynamic approach has been developed and applied especially for operational planning. It allows time evolution of on-board loads and travel times for each run of each line to be obtained, and uses behavioral hypotheses strictly related to transit systems and user characteristics. It allows us to open new frontiers in transit modelling to support network design, timetable setting, investigation of congestion effects, as well as the assessment of new technologies introduction, such as information to users (ITS technologies).
The contributors and editors of the book are leading researchers in the field of transportation, and in this volume they build a solid foundation for developing still more sophisticated models. These future models of mass transit systems will continue to add higher levels of accuracy and sensitivity desired in forecasting the performance of public transport systems.
Editors and Affiliations
Bibliographic Information
Book Title: Schedule-Based Dynamic Transit Modeling
Book Subtitle: Theory and Applications
Editors: Nigel H. M. Wilson, Agostino Nuzzolo
Series Title: Operations Research/Computer Science Interfaces Series
DOI: https://doi.org/10.1007/978-1-4757-6467-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-1-4020-7687-9Published: 31 December 2003
Softcover ISBN: 978-1-4419-5412-1Published: 07 December 2010
eBook ISBN: 978-1-4757-6467-3Published: 09 March 2013
Series ISSN: 1387-666X
Series E-ISSN: 2698-5489
Edition Number: 1
Number of Pages: XII, 282
Topics: Regional/Spatial Science, Operations Research/Decision Theory, Civil Engineering, Complexity, Industrial Organization