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
    2. Jan Fabian Ehmke
      Pages 9-22
    3. Jan Fabian Ehmke
      Pages 23-33
  4. Information Models

    1. Front Matter
      Pages 35-35
    2. Jan Fabian Ehmke
      Pages 37-57
    3. Jan Fabian Ehmke
      Pages 59-80
  5. Integration of Information Models

    1. Front Matter
      Pages 81-81
    2. Jan Fabian Ehmke
      Pages 83-104
    3. Jan Fabian Ehmke
      Pages 105-116
  6. Optimization Models

    1. Front Matter
      Pages 117-117
    2. Jan Fabian Ehmke
      Pages 119-156
    3. Jan Fabian Ehmke
      Pages 157-177
    4. Jan Fabian Ehmke
      Pages 179-182
  7. Back Matter
    Pages 183-197

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.​


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

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