| 000 | 03065nam a22003735i 4500 | ||
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| 001 | 394362 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123123.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221107s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031167041 | ||
| 024 | 7 |
_a10.1007/978-3-031-16704-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 100 | 1 |
_aPincay Nieves, Jhonny _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aSmart Urban Logistics _bImproving Delivery Services by Computational Intelligence _cby Jhonny Pincay Nieves |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXIII, 170 páginas) _b1 illus |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aFuzzy Management Methods _x2196-4149 |
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| 505 | 0 | _aPart 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. | |
| 520 | _aLast-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. | ||
| 776 | 0 | 8 |
_iPrinted edition: _z9783031167034 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031167058 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031167065 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-16704-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Computer_2022 | ||
| 999 |
_c394362 _d394362 |
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