Overview
- Provides cutting-edge research to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics
- Interweaves the usually distinct areas of traffic data collection with data mining and operations research techniques
- Author won outstanding paper award at the 7th International Conference on City Logistics in 2011?
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 177)
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Table of contents (10 chapters)
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Front Matter
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Problem Description
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Front Matter
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Problem description
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Information Models
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Front Matter
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Information models
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Integration of Information Models
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Front Matter
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Integration of information models
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Optimization Models
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Front Matter
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Optimization models
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Back Matter
Keywords
About this book
​As urban congestion continues to be an ever increasing problem, routing in these settings has become an important area of operations research. This monograph provides cutting-edge research, utilizing the recent advances in technology, to quantify the value of dynamic, time-dependent information for advanced vehicle routing in city logistics. The methodology of traffic data collection is enhanced by GPS based data collection, resulting in a comprehensive number of travel time records. Data Mining is also applied to derive dynamic information models as required by time-dependent optimization. Finally, well-known approaches of vehicle routing are adapted in order to handle dynamic information models.
This book interweaves the usually distinct areas of traffic data collection, information retrieval and time-dependent optimization by an integrated methodological approach, which refers to synergies of Data Mining and Operations Research techniques by example of city logistics applications. These procedures will help improve the reliability of logistics services in congested urban areas.​
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Integration of Information and Optimization Models for Routing in City Logistics
Authors: Jan Fabian Ehmke
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-1-4614-3628-7
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer Science+Business Media New York 2012
Hardcover ISBN: 978-1-4614-3627-0Published: 02 May 2012
Softcover ISBN: 978-1-4899-9858-3Published: 11 June 2014
eBook ISBN: 978-1-4614-3628-7Published: 01 May 2012
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XIV, 198
Topics: Operations Research/Decision Theory, Data Mining and Knowledge Discovery, Regional/Spatial Science