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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.
Technology: general issues --- History of engineering & technology --- 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 --- 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
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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.
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 --- n/a
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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.
Technology: general issues --- History of engineering & technology --- 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 --- n/a
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This reprint discusses the various applications, new materials, and evolution in the field of nanogenerators. This lays the foundation for the popularization of their broad applications in energy science, environmental protection, wearable electronics, self-powered sensors, medical science, robotics, and artificial intelligence.
Energy --- triboelectric nanogenerator (TENG) --- sodium chloride powder --- self-powered sensor --- low-cost --- human–machine interaction --- triboelectric nanogenerator --- self-powered sensing --- self-charging power unit --- remote telemetry and control --- self-powered --- triboelectric --- magnetorheological elastomer --- magnetic --- mechanical energy --- dioxygen activation --- triboelectric corona plasma --- O2− reactive species --- spin conversion --- coniform Helmholtz resonator --- acoustic energy harvesting --- organogel --- stable --- pressure sensing --- nanogenerator --- technology evolution pathway --- knowledge graph --- representation learning --- multi-source data --- nanomaterials --- AR and VR --- metal halide perovskite --- rare-earth metal --- solar cell --- light-emitting diode --- photodetector --- luminescent solar concentrators --- technology evolutionary path --- text vectorization --- theme mining --- theme river map --- triboelectric nanogenerators --- fluid dynamics sensing --- energy harvesting --- triboelectricity --- TENG --- contact-separation mode --- corona charging --- IoT --- n/a --- human-machine interaction
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This book provides extensive information about advanced control techniques in electric drives. Multiple control and estimation methods are studied for position and speed tracking in different drives. Artificial intelligence tools, such as fuzzy logic and neural networks, are used for specific applications using electric drives.
History of engineering & technology --- PMSM drive --- current control --- deadbeat predictive control --- equivalent input disturbance --- BSAII --- Euclidean distance --- energy management --- E-REV --- overhead transmission line --- UAV inspection --- safe distance --- multi-source data fusion --- adaptive threshold --- permanent magnet synchronous motor --- second-order sliding mode control --- cascade control --- robustness --- PMSM --- model predictive control --- parameter identification --- hybrid electric vehicles (HEVs) --- mode transition --- adaptive sliding mode control (A-SMC) --- clutch actuator --- PI observer --- fractional order proportional-integral-differential (FOPID) --- indirect vector control --- position control of motor --- induction motor --- sensorless control --- sliding mode observer --- RBFNN-based self-tuning PID controller --- I-f startup strategy --- PMLSM --- position sensorless control --- high-frequency square-wave voltage injection --- FIR filter --- maglev train --- automotive electric powertrain --- rotor position sensor --- resolver --- inductive position sensor --- eddy current position sensor --- Hall sensor --- magnetoresistive position sensor --- Hall sensors --- brushless direct current motor drive system --- power electronics --- industrial application --- integrated electric drive system --- electromechanical coupling --- harmonic torque reduction strategy --- quantized --- nonlinear systems --- time delay --- lyapunov approach --- real-time implementation --- neural fuzzy controller --- I-f control strategy --- fractional order control --- synergetic control --- sliding mode control --- motor drives --- advanced control --- power converters --- estimation --- sensor --- artificial intelligence --- PMSM drive --- current control --- deadbeat predictive control --- equivalent input disturbance --- BSAII --- Euclidean distance --- energy management --- E-REV --- overhead transmission line --- UAV inspection --- safe distance --- multi-source data fusion --- adaptive threshold --- permanent magnet synchronous motor --- second-order sliding mode control --- cascade control --- robustness --- PMSM --- model predictive control --- parameter identification --- hybrid electric vehicles (HEVs) --- mode transition --- adaptive sliding mode control (A-SMC) --- clutch actuator --- PI observer --- fractional order proportional-integral-differential (FOPID) --- indirect vector control --- position control of motor --- induction motor --- sensorless control --- sliding mode observer --- RBFNN-based self-tuning PID controller --- I-f startup strategy --- PMLSM --- position sensorless control --- high-frequency square-wave voltage injection --- FIR filter --- maglev train --- automotive electric powertrain --- rotor position sensor --- resolver --- inductive position sensor --- eddy current position sensor --- Hall sensor --- magnetoresistive position sensor --- Hall sensors --- brushless direct current motor drive system --- power electronics --- industrial application --- integrated electric drive system --- electromechanical coupling --- harmonic torque reduction strategy --- quantized --- nonlinear systems --- time delay --- lyapunov approach --- real-time implementation --- neural fuzzy controller --- I-f control strategy --- fractional order control --- synergetic control --- sliding mode control --- motor drives --- advanced control --- power converters --- estimation --- sensor --- artificial intelligence
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This book provides extensive information about advanced control techniques in electric drives. Multiple control and estimation methods are studied for position and speed tracking in different drives. Artificial intelligence tools, such as fuzzy logic and neural networks, are used for specific applications using electric drives.
History of engineering & technology --- PMSM drive --- current control --- deadbeat predictive control --- equivalent input disturbance --- BSAII --- Euclidean distance --- energy management --- E-REV --- overhead transmission line --- UAV inspection --- safe distance --- multi-source data fusion --- adaptive threshold --- permanent magnet synchronous motor --- second-order sliding mode control --- cascade control --- robustness --- PMSM --- model predictive control --- parameter identification --- hybrid electric vehicles (HEVs) --- mode transition --- adaptive sliding mode control (A-SMC) --- clutch actuator --- PI observer --- fractional order proportional-integral-differential (FOPID) --- indirect vector control --- position control of motor --- induction motor --- sensorless control --- sliding mode observer --- RBFNN-based self-tuning PID controller --- I-f startup strategy --- PMLSM --- position sensorless control --- high-frequency square-wave voltage injection --- FIR filter --- maglev train --- automotive electric powertrain --- rotor position sensor --- resolver --- inductive position sensor --- eddy current position sensor --- Hall sensor --- magnetoresistive position sensor --- Hall sensors --- brushless direct current motor drive system --- power electronics --- industrial application --- integrated electric drive system --- electromechanical coupling --- harmonic torque reduction strategy --- quantized --- nonlinear systems --- time delay --- lyapunov approach --- real-time implementation --- neural fuzzy controller --- I-f control strategy --- fractional order control --- synergetic control --- sliding mode control --- motor drives --- advanced control --- power converters --- estimation --- sensor --- artificial intelligence
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This book provides extensive information about advanced control techniques in electric drives. Multiple control and estimation methods are studied for position and speed tracking in different drives. Artificial intelligence tools, such as fuzzy logic and neural networks, are used for specific applications using electric drives.
PMSM drive --- current control --- deadbeat predictive control --- equivalent input disturbance --- BSAII --- Euclidean distance --- energy management --- E-REV --- overhead transmission line --- UAV inspection --- safe distance --- multi-source data fusion --- adaptive threshold --- permanent magnet synchronous motor --- second-order sliding mode control --- cascade control --- robustness --- PMSM --- model predictive control --- parameter identification --- hybrid electric vehicles (HEVs) --- mode transition --- adaptive sliding mode control (A-SMC) --- clutch actuator --- PI observer --- fractional order proportional-integral-differential (FOPID) --- indirect vector control --- position control of motor --- induction motor --- sensorless control --- sliding mode observer --- RBFNN-based self-tuning PID controller --- I-f startup strategy --- PMLSM --- position sensorless control --- high-frequency square-wave voltage injection --- FIR filter --- maglev train --- automotive electric powertrain --- rotor position sensor --- resolver --- inductive position sensor --- eddy current position sensor --- Hall sensor --- magnetoresistive position sensor --- Hall sensors --- brushless direct current motor drive system --- power electronics --- industrial application --- integrated electric drive system --- electromechanical coupling --- harmonic torque reduction strategy --- quantized --- nonlinear systems --- time delay --- lyapunov approach --- real-time implementation --- neural fuzzy controller --- I-f control strategy --- fractional order control --- synergetic control --- sliding mode control --- motor drives --- advanced control --- power converters --- estimation --- sensor --- artificial intelligence
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Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations --- ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations
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Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.
Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations
Choose an application
Greenhouse gas (GHG) emissions associated with transportation activities account for approximately 20 percent of all carbon dioxide (co2) emissions globally, making the transportation sector a major contributor to the current global warming. This book focuses on the latest advances in technologies aiming at the sustainable future transportation of people and goods. A reduction in burning fossil fuel and technological transitions are the main approaches toward sustainable future transportation. Particular attention is given to automobile technological transitions, bike sharing systems, supply chain digitalization, and transport performance monitoring and optimization, among others.
ANOVA-test --- clickbait news --- feature selection --- social network --- taxi demand --- forecasting --- multi-source data --- generative adversarial networks --- container ship traffic flow --- volatility --- generalized Hurst exponents --- long-range dependence --- multifractality --- city buses --- semi-Markov processes --- preventive maintenance --- corrective maintenance --- age-replacement --- minimal repair --- perfect repair --- profit per time unit --- availability --- railway transport --- passengers --- sustainable travel --- ARTIW method --- IHAMCI method --- MCDM --- facial recognition technology --- e-biker --- red-light running behavior --- privacy invasion --- content replacement --- content placement --- content-centric networking --- cache networks --- immaturity --- stretch reduction --- mineral exploration --- natural gamma-ray spectrometry --- ASTER --- fuzzy logic modelling --- Kelâat M’Gouna inlier --- Eastern Anti-Atlas --- Morocco --- collision avoidance --- fuzzy logic --- on board driver assistance --- semi-autonomous --- multi-factor --- VANET --- COVID-19 --- bike sharing system --- urban mobility --- regression analysis --- green transport --- continuous descent approach --- optimized profile descent --- climate change --- terminal maneuvering area --- environmental impact --- applied queueing theory --- air traffic management --- air transportation sustainability --- electric vehicle powertrain --- multispeed discrete transmission --- continuously variable transmission --- two-motors configuration --- four-motors configuration --- border crossings --- sentiments --- personal vehicles --- pedestrians --- US–Mexico --- Google Trends --- digitalization --- BPM --- business process model --- artificial intelligence --- big data --- virtual reality --- internet of things --- cloud computing --- digital security --- additive engineering --- smart cities --- Internet of Things (IoT) --- strategy --- monitoring --- transport equity --- distributional analysis --- accessibility --- space-time model --- transport policy --- OFDM --- LDACS --- aeronautical communication --- impulse noise --- pulse blanking --- ROAD statistics --- location planning --- vehicle scheduling --- electric buses --- charging stations --- partial charging --- human-machine interaction --- scenarios --- use cases --- remote operation --- highly automated vehicles --- user-centered design --- remote assistance --- remote driving --- bike-sharing system (BSS) --- mode choice --- stated choice experiment --- multinomial logit model --- transport demand model --- technological transitions --- automobiles --- system dynamics --- dynamical systems --- bifurcations
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