Integration of Information and Optimization Models for Routing in City Logistics

  • Jan Fabian Ehmke
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 177)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Jan Fabian Ehmke
    Pages 1-5
  3. Problem Description

    1. Front Matter
      Pages 7-7
  4. Problem description

    1. Jan Fabian Ehmke
      Pages 9-22
    2. Jan Fabian Ehmke
      Pages 23-33
  5. Information Models

    1. Front Matter
      Pages 35-35
  6. Information models

    1. Jan Fabian Ehmke
      Pages 37-57
    2. Jan Fabian Ehmke
      Pages 59-80
  7. Integration of Information Models

    1. Front Matter
      Pages 81-81
  8. Integration of information models

    1. Jan Fabian Ehmke
      Pages 83-104
    2. Jan Fabian Ehmke
      Pages 105-116
  9. Optimization Models

    1. Front Matter
      Pages 117-117
  10. Optimization models

    1. Jan Fabian Ehmke
      Pages 119-156
    2. Jan Fabian Ehmke
      Pages 157-177
    3. Jan Fabian Ehmke
      Pages 179-182
  11. Back Matter
    Pages 183-197

About this book

Introduction

​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.​

Keywords

Data Mining Information Retrieval Logistics Time Dependent Optimization Traffic Data Collection Urban Planning

Authors and affiliations

  • Jan Fabian Ehmke
    • 1
  1. 1., Carl-Friedrich Gauss Dept of EconomicsTechnical University of BraunschweigBraunschweigGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-3628-7
  • Copyright Information Springer Science+Business Media New York 2012
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4614-3627-0
  • Online ISBN 978-1-4614-3628-7
  • Series Print ISSN 0884-8289
  • About this book