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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 online resource (154 p.)
Soggetto topico: History of engineering & technology
Technology: general issues
Soggetto non controllato: AHP/TOPSIS hybrid approach
big data
bike delivery
cargo bike
cargo cycle
city logistics
concentrated sets of delivery locations
cooperative systems
digital model
evaluation methodology
fire rescue service
flow clustering
functional evaluation
geometrical model
GeoSpatial data
housing estates
impact assessment
integration
intelligent transportation systems
multi-criteria decision-making
multi-source data analyses
n/a
optimal site selection
shopping mall
simulation
smart cities
spatio-temporal data analyses
swept paths
telematics
traffic control
urban tunnel
user acceptance
user experience
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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