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Intelligent Transportation Related Complex Systems and Sensors

Resumen/Descripción – provisto por la editorial

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Palabras clave – provistas por la editorial

image dehazing; traffic video dehazing; dark channel prior; spatial-temporal correlation; contrast enhancement; traffic signal control; game theory; decentralized control; large-scale network control; railway intrusion detection; scene segmentation; scene recognition; adaptive feature extractor; convolutional neural networks; in-cylinder pressure identification; speed iteration model; EKF; frequency modulation; amplitude modulation; sensor synchronization; microscopic traffic data; trajectory reconstruction; expectation maximization; vehicle matching; artificial neural networks; metro; transportation; user flow forecast; matrix inversion; time-varying matrix; noise problem in time-varying matrix inversion; recurrent neural network (RNN); RNN-based solver; real-time fast computing; real-time estimation; probe vehicle; traffic density; neural network; level of market penetration rate; deep neural network; neural artistic extraction; objectification; ride comfort; subjective evaluation; road surface recognition; Gaussian background model; abnormal road surface; acceleration sensor; traffic state prediction; spatio-temporal traffic modeling; simulation; machine learning; hyper parameter optimization; ITS; crash risk modeling; hazardous materials; highway safety; operations research; prescriptive analytics; shortest path problem; trucking; vehicle routing problem; data visualization; descriptive analytics; predictive analytics; urban rail transit interior noise; smartphone sensing; XGBoost classifier; railway maintenance; vehicle trajectory prediction; license plate data; trip chain; turning state transit; route choice behavior; real world experiment; Intelligent Transportation Systems (ITS); advanced traveler information systems (ATIS); connected vehicles; particle filter; Kalman filter; road safety; travel time information system; safety performance function; bicycle sharing systems; public transport systems; data-driven classification of trips; BSS underlying network; trip index; automatic rail-surface-scratch recognition and computation; triangulation algorithm; complete closed mesh model; online rail-repair; autonomous vehicle; obstacle avoidance; artificial potential field; model predictive control; human-like; variable speed limits; intelligent transportation systems; ITS services; driving simulator studies; traffic modelling; surrogate safety measures; driving safety; driving emotions; driving stress; lifestyle; sensors; heart rate; plate scanning; low-cost sensor; sensor location problem; traffic flow estimation; n/a

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-0365-0849-8

País de edición

Suiza