Smart Urban Logistics [electronic resource] : Improving Delivery Services by Computational Intelligence /
Material type: TextSeries: Fuzzy Management MethodsPublisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XXIII, 170 p. 1 illus. online resourceContent type:- text
- computer
- online resource
- 9783031167041
- 658.4038 23
- HF54.5-.56
Part I. Motivation & Objectives -- Chapter 1. Introduction -- Part II. Theoretical Background -- Chapter 2. Insights into Smart Cities and Smart Logistics -- Chapter 3. Computational Intelligence -- Part III. Applications -- Chapter 4. Fuzzifying Geospatial Traffic Data to Convey Information -- Chapter 5. Ethical Classification of Postal Customers -- Part IV. Framework and Implementation -- Chapter 6. The Fuzzy Ant Routing (FAR) Conceptual Framework -- Chapter 7. The FAR Artifact -- Part V. Conclusions -- Chapter 8. Outlook and Conclusions.
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.
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