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On the Impact of Floating Car Data and Data Fusion on the Prediction of the Traffic Density, Flow and Speed Using an Error Recurrent Convolutional Neural Network.
Jesús Mena-Oreja
Javier Gozálvez
Published in:
IEEE Access (2021)
Keyphrases
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data fusion
convolutional neural network
traffic density
traffic congestion
multi sensor
information fusion
face detection
traffic flow
real time
floating car data
multi source
error rate
neural network
road network
travel time
traffic conditions
traffic information
change detection