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Smart Urban Logistics

Improving Delivery Services by Computational Intelligence

  • Book
  • © 2022

Overview

Authors:
  1. Jhonny Pincay Nieves

    1. University of Fribourg, Fribourg, Switzerland

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  • Offers an interdisciplinary view on smart cities, fuzzy logic, and swarm intelligence
  • Bridges the gap between theory and practice for urban logistics
  • Focuses on the improvement of last-mile delivery

Part of the book series: Fuzzy Management Methods (FMM)

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xxiii
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  2. Motivation and Objectives

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Jhonny Pincay Nieves
      Pages 3-14

  3. Theoretical Background

    1. Front Matter

      Pages 15-15
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    2. Insights into Smart Cities and Smart Logistics

      • Jhonny Pincay Nieves
      Pages 17-31

    3. Computational Intelligence

      • Jhonny Pincay Nieves
      Pages 33-56

  4. Applications

    1. Front Matter

      Pages 57-57
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    2. Fuzzifying Geospatial Traffic Data to Convey Information

      • Jhonny Pincay Nieves
      Pages 59-87

    3. Ethical Classification of Postal Customers

      • Jhonny Pincay Nieves
      Pages 89-109

  5. Framework and Implementation

    1. Front Matter

      Pages 111-111
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    2. The Fuzzy Ant Routing (FAR) Conceptual Framework

      • Jhonny Pincay Nieves
      Pages 113-124

    3. The FAR Artifact

      • Jhonny Pincay Nieves
      Pages 125-147

  6. Conclusions

    1. Front Matter

      Pages 149-149
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    2. Outlook and Conclusions

      • Jhonny Pincay Nieves
      Pages 151-158

  7. Back Matter

    Pages 159-170
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Keywords

About this book

Last-mile delivery in cities, where the main problems are the traffic situation and ensuring access to customers’ homes while maintaining their privacy, poses a substantial logistical challenge. This book explores how the service area of mobility, especially last-mile delivery, can be improved and smartified. It demonstrates how a design science method and a transdisciplinary approach have been used to create a traffic area analysis tool that can accommodate the uncertainty and incompleteness of geospatial data; a linguistic traffic merging tool; and a customer classifier. In terms of developing the optimization artifacts, the socio-economic and logistical aspects of cities were considered and fuzzy logic and nature-inspired swarm intelligence (fuzzy ant colony optimization) were applied as basic principles.   Pursuing a transdisciplinary approach, the book offers both practical know-how from the industry and theoretical findings, making it a valuable asset for researchers and practitioners in the fields of mobility and logistics.

Authors and Affiliations

  • University of Fribourg, Fribourg, Switzerland

    Jhonny Pincay Nieves

About the author

Jhonny Pincay Nieves earned his Ph.D. in Computer Science at the University of Fribourg, Switzerland. He has worked for Escuela Superior Politécnica del Litoral (ESPOL University) and the Pontificia Universidad Católica del Ecuador (Ecuador) as a lecturer and researcher. He currently works as data scientist at Viasuisse AG in Biel, Switzerland. His research interests include smart cities and logistics, fuzzy logic, recommender systems, and software engineering.

Bibliographic Information

  • Book Title: Smart Urban Logistics

  • Book Subtitle: Improving Delivery Services by Computational Intelligence

  • Authors: Jhonny Pincay Nieves

  • Series Title: Fuzzy Management Methods

  • DOI: https://doi.org/10.1007/978-3-031-16704-1

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-031-16703-4Published: 08 November 2022

  • Softcover ISBN: 978-3-031-16706-5Published: 09 November 2023

  • eBook ISBN: 978-3-031-16704-1Published: 07 November 2022

  • Series ISSN: 2196-4130

  • Series E-ISSN: 2196-4149

  • Edition Number: 1

  • Number of Pages: XXIII, 170

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Business Information Systems, Logistics, Computer Applications, Software Management

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