@article{1451079,
      author = {Pincay Nieves, Jhonny,},
      url = {http://library.usi.edu/record/1451079},
      title = {Smart urban logistics : improving delivery services by  computational intelligence /},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-031-16704-1},
      recid = {1451079},
      pages = {1 online resource (xxiii, 170 pages) :},
}