Smart Urban Logistics: Improving Delivery Services by Computational Intelligence

Author:   Jhonny Pincay Nieves
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2022
ISBN:  

9783031167065


Pages:   170
Publication Date:   09 November 2023
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Smart Urban Logistics: Improving Delivery Services by Computational Intelligence


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Overview

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.

Full Product Details

Author:   Jhonny Pincay Nieves
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2022
Weight:   0.308kg
ISBN:  

9783031167065


ISBN 10:   3031167066
Pages:   170
Publication Date:   09 November 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.

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