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Intelligent Mobility in Smart Cities



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Autore: Rothkrantz Leon Visualizza persona
Titolo: Intelligent Mobility in Smart Cities Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 electronic resource (154 p.)
Soggetto topico: Technology: general issues
History of engineering & technology
Soggetto non controllato: city logistics
cargo bike
cargo cycle
simulation
geometrical model
shopping mall
concentrated sets of delivery locations
bike delivery
big data
flow clustering
intelligent transportation systems
multi-source data analyses
spatio-temporal data analyses
user experience
multi-criteria decision-making
AHP/TOPSIS hybrid approach
optimal site selection
GeoSpatial data
smart cities
fire rescue service
housing estates
swept paths
digital model
cooperative systems
evaluation methodology
telematics
functional evaluation
impact assessment
user acceptance
traffic control
urban tunnel
integration
Persona (resp. second.): SvitekMiroslav
PribylOndrej
RothkrantzLeon
Sommario/riassunto: Smart Cities seek to optimize their systems by increasing integration through approaches such as increased interoperability, seamless system integration, and automation. Thus, they have the potential to deliver substantial efficiency gains and eliminate redundancy. To add to the complexity of the problem, the integration of systems for efficiency gains may compromise the resilience of an urban system. This all needs to be taken into consideration when thinking about Smart Cities. The transportation field must also apply the principles and concepts mentioned above. This cannot be understood without considering its links and effects on the other components of an urban system. New technologies allow for new means of travel to be built, and new business models allow for existing ones to be utilized. This Special Issue puts together papers with different focuses, but all of them tackle the topic of smart mobility.
Titolo autorizzato: Intelligent Mobility in Smart Cities  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910585945103321
Lo trovi qui: Univ. Federico II
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