001451079 000__ 05937cam\a2200589\i\4500
001451079 001__ 1451079
001451079 003__ OCoLC
001451079 005__ 20230310004642.0
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001451079 019__ $$a1350689841
001451079 020__ $$a9783031167041$$q(electronic bk.)
001451079 020__ $$a303116704X$$q(electronic bk.)
001451079 020__ $$z9783031167034
001451079 020__ $$z3031167031
001451079 0247_ $$a10.1007/978-3-031-16704-1$$2doi
001451079 035__ $$aSP(OCoLC)1350555316
001451079 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dUKAHL$$dINU$$dOCLCQ
001451079 049__ $$aISEA
001451079 050_4 $$aHF5773.D3
001451079 08204 $$a388/.0440687$$223/eng/20221117
001451079 1001_ $$aPincay Nieves, Jhonny,$$eauthor.
001451079 24510 $$aSmart urban logistics :$$bimproving delivery services by computational intelligence /$$cJhonny Pincay Nieves.
001451079 264_1 $$aCham :$$bSpringer,$$c[2022]
001451079 264_4 $$c©2022
001451079 300__ $$a1 online resource (xxiii, 170 pages) :$$billustrations.
001451079 336__ $$atext$$btxt$$2rdacontent
001451079 337__ $$acomputer$$bc$$2rdamedia
001451079 338__ $$aonline resource$$bcr$$2rdacarrier
001451079 4901_ $$aFuzzy management methods
001451079 504__ $$aIncludes bibliographical references.
001451079 5050_ $$aIntro -- Foreword -- Preface -- Acknowledgments -- Contents -- List of Figures -- List of Tables -- List of Algorithms -- Part I Motivation and Objectives -- 1 Introduction -- 1.1 Background and Motivation -- 1.2 Research Objectives and Questions -- 1.3 Methodology -- 1.3.1 Design Science Research -- 1.3.2 Transdisciplinary Research -- 1.4 Outline -- 1.5 Own Research Contribution -- References -- Part II Theoretical Background -- 2 Insights into Smart Cities and Smart Logistics -- 2.1 Smart Cities -- 2.1.1 Cognitive and Human-Smart Cities -- 2.1.2 Digital Ethics in Smart City Solutions
001451079 5058_ $$a2.1.2.1 Legal Perspective -- 2.1.2.2 IT Perspective -- 2.1.2.3 Citizen Perspective -- 2.2 Smart Mobility and Smart Logistics -- 2.2.1 Current Research in Smart Logistics -- 2.2.2 Trends and Challenges -- 2.3 The Last-Mile Delivery -- 2.3.1 Last-Mile Issues -- 2.3.2 Last Mile at Swiss Post -- 2.4 Final Remarks -- 2.5 Further Readings -- References -- 3 Computational Intelligence -- 3.1 Overview of Fuzzy Logic Approaches -- 3.1.1 Fuzzy Sets Theory -- 3.1.1.1 Types of Membership functions -- 3.1.1.2 Type-2 Fuzzy Sets -- 3.1.2 Linguistic Variables -- 3.1.3 Linguistic Summaries
001451079 5058_ $$a3.1.4 Fuzzy Inference -- 3.1.4.1 Fuzzy Inference and Fuzzy Rules -- 3.1.4.2 Fuzzy Inference Systems -- 3.1.5 Design Criteria and Constraints for Fuzzy Systems -- 3.1.5.1 Design Criteria and Constraints for Fuzzy Sets -- 3.1.5.2 Design Criteria for Linguistic Variables -- 3.1.5.3 Design Criteria and Constraints for Fuzzy Rules -- 3.2 Swarm Intelligence -- 3.2.1 Basics of Swarm Intelligence -- 3.2.2 Ant Colony Optimization -- 3.2.3 Fuzzy Ant System Principles -- 3.2.4 Trends and Challenges in Swarm Intelligence Applications -- 3.2.4.1 Current Trends -- 3.2.4.2 Outlook and Challenges
001451079 5058_ $$a3.3 Final Remarks -- 3.4 Further Readings -- References -- Part III Applications -- 4 Fuzzifying Geospatial Traffic Data to Convey Information -- 4.1 Critical Traffic Areas Identification -- 4.1.1 Conceptual Development -- 4.1.2 Type-2 Fuzzy Sets and Traffic Models -- 4.1.3 Framework and Artifact Design -- 4.1.3.1 Data Cleaner -- 4.1.3.2 Fuzzifier -- 4.1.3.3 Fuzzy Inference Engine -- 4.1.3.4 Visualizer -- 4.1.4 Implementation and Results -- 4.1.4.1 Fuzzification and Inference -- 4.1.4.2 Verification of the Design Criteria for Fuzzy Sets -- 4.1.4.3 Visualization
001451079 5058_ $$a4.1.5 Summary and Lessons Learned -- 4.2 Linguistic Summarization of Traffic Data -- 4.2.1 Conceptual Development -- 4.2.2 Linguistic Summaries for Traffic -- 4.2.3 Framework and Artifact Design -- 4.2.3.1 Data Selection and Aggregation -- 4.2.3.2 Linguistic Summaries Mining -- 4.2.3.3 Visualization of Results -- 4.2.4 Implementation and Results -- 4.2.4.1 Linguistic Summaries Mining -- 4.2.4.2 Verification of the Design Criteria for Linguistic Variables -- 4.2.5 Visualization of Results -- 4.2.6 User's Evaluation -- 4.2.7 Summary and Lessons Learned -- 4.3 Final Remarks -- 4.4 Further Readings
001451079 506__ $$aAccess limited to authorized users.
001451079 520__ $$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.
001451079 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 17, 2022).
001451079 650_0 $$aDelivery of goods$$xData processing.
001451079 650_0 $$aBusiness logistics.
001451079 650_0 $$aComputational intelligence.
001451079 655_0 $$aElectronic books.
001451079 77608 $$iPrint version: $$z3031167031$$z9783031167034$$w(OCoLC)1340403664
001451079 830_0 $$aFuzzy management methods.
001451079 852__ $$bebk
001451079 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16704-1$$zOnline Access$$91397441.1
001451079 909CO $$ooai:library.usi.edu:1451079$$pGLOBAL_SET
001451079 980__ $$aBIB
001451079 980__ $$aEBOOK
001451079 982__ $$aEbook
001451079 983__ $$aOnline
001451079 994__ $$a92$$bISE