T-CONV: A Convolutional Neural Network for Multi-scale Taxi Trajectory Prediction

Precise destination prediction of taxi trajectories can benefit many intelligent location based services such as accurate ad for passengers. Traditional prediction approaches, which treat trajectories as one-dimensional sequences and process them in single scale, fail to capture the diverse two-dime...

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Veröffentlicht in:	International Conference on Big Data and Smart Computing S. 82 - 89
Hauptverfasser:	Lv, Jianming, Li, Qing, Sun, Qinghui, Wang, Xintong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.01.2018
Schlagworte:	Clustering algorithms Companies convolutional neural network multi-scale Neural networks Prediction algorithms Predictive models Public transportation Trajectory
ISSN:	2375-9356
Online-Zugang:	Volltext
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