Overview
- Discusses the highly relevant challenges in integrated transportation planning
- Innovative integrated scenarios are realized
- Presents a clear argument as to why integrated planning is important, and provides a large number of models and complex proofs
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 160)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book is one of the first to include an extensive discussion of integrated public transport planning. In times of growing urban populations and increasing environmental awareness, the importance of optimizing public transport systems is ever-developing. Three different aspects are presented: line planning, timetabling, and vehicle scheduling. Classically, challenges concerning these three aspects of planning are solved sequentially. Due to their high interdependence, the author presents a clear and detailed analysis of innovative, integrated models with accompanied numerical experiments performed to assess, and often support, the benefits of integration.
The book will appeal to a wide readership ranging from graduate students to researchers.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Integrated Optimization in Public Transport Planning
Authors: Philine Schiewe
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-46270-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-46269-7Published: 24 June 2020
Softcover ISBN: 978-3-030-46272-7Published: 24 June 2021
eBook ISBN: 978-3-030-46270-3Published: 23 June 2020
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: X, 191
Number of Illustrations: 29 b/w illustrations, 48 illustrations in colour
Topics: Optimization, Transportation Technology and Traffic Engineering, Algorithms, Mathematical Modeling and Industrial Mathematics