Authors:
- Reports on novel control approaches to deal with the imbalance problem in bike sharing systems
- Combines mathematical models with data-driven approaches
- Describes in detail the evaluation of the methods with real-world data
Part of the book series: Lecture Notes in Mobility (LNMOB)
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Table of contents (10 chapters)
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Front Matter
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Preliminaries
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Front Matter
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Conclusion
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Front Matter
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Back Matter
About this book
This book reports on an operational management approach to improving bike-sharing systems by compensating for fluctuating demand patterns. The aim is to redistribute bikes within the system, allowing it to be “actively” balanced. The book describes a mathematical model, as well as data-driven and simulation-based approaches. Further, it shows how these elements can be combined in a decision-making support system for service providers. In closing, the book uses real-world data to evaluate the method developed and demonstrates that it can successfully anticipate changes in demand, thus supporting efficient scheduling of transport vehicles to manually relocate bikes between stations.
Authors and Affiliations
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Institut für Wirtschaftsinformatik, Technische Universität Braunschweig, Braunschweig, Germany
Jan Brinkmann
Bibliographic Information
Book Title: Active Balancing of Bike Sharing Systems
Authors: Jan Brinkmann
Series Title: Lecture Notes in Mobility
DOI: https://doi.org/10.1007/978-3-030-35012-3
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-35011-6Published: 06 February 2020
Softcover ISBN: 978-3-030-35014-7Published: 06 February 2021
eBook ISBN: 978-3-030-35012-3Published: 05 February 2020
Series ISSN: 2196-5544
Series E-ISSN: 2196-5552
Edition Number: 1
Number of Pages: XXI, 184
Number of Illustrations: 47 b/w illustrations, 1 illustrations in colour
Topics: Transportation Technology and Traffic Engineering, Control and Systems Theory, Operations Research/Decision Theory