Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data

Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data

Currently, effective crowd management based on the information provided by crowd monitoring systems is difficult as this information comes in at the moment adverse crowd movements are already occurring. Up to this moment, very little forecasting techniques have been developed that predict crowd flow...

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Bibliographic Details
Main Authors: Dorine C. Duives, Guangxing Wang, Jiwon Kim
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
deep learning algorithms
forecasting
pedestrian crowd movements
GPS trajectories
Recursive Neural Network (RNN) with Gated Recurrent Unit (GRU)
Online Access:http://www.mdpi.com/1424-8220/19/2/382

Internet

http://www.mdpi.com/1424-8220/19/2/382

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