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Smart city article details

Title	Deep Neural Networks For Predicting Vehicle Travel Times
ID_Doc	18013
Authors	De Araujo A.C.; Etemad A.
Year	2019
Published	Proceedings of IEEE Sensors, 2019-October
DOI	http://dx.doi.org/10.1109/SENSORS43011.2019.8956878
Abstract	This paper focuses on prediction if vehicle travel time. An established open dataset of taxi trips in New York City is used. We first perform statistical analysis on the data in order to determine the informative features that can be used for the problem at hand. Successive to detailed analysis of the data and features, we develop a deep neural network for travel time prediction. We show that our model performs with high accuracy, and outperforms a number of baseline techniques. © 2019 IEEE.
Author Keywords	deep learning; smart city; vehicle travel time

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