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.
Inhaltsverzeichnis
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.
