Smart Urban Logistics: Improving Delivery Services by Computational Intelligence

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.

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.

Jhonny Pincay Nieves 在瑞士弗里堡大學取得了計算機科學博士學位。他曾在厄瓜多爾的Escuela Superior Politécnica del Litoral (ESPOL大學)和Pontificia Universidad Católica del Ecuador擔任講師和研究員。他目前在瑞士比爾的Viasuisse AG擔任數據科學家。他的研究興趣包括智慧城市和物流、模糊邏輯、推薦系統和軟件工程。