Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks

Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks

Information about spatial distribution (OD flows) is a key element in traffic management systems in urban transport networks that enables efficient traffic control and decisions to redirect traffic to less congested sections of the network in emergencies. With the development of modern techniques of...

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Bibliographic Details
Main Authors: Renata Żochowska, Teresa Pamuła
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
traffic flow
OD matrix prediction
deep learning
prediction error analysis
short-term prediction
urban transportation network
Online Access:https://www.mdpi.com/2072-4292/16/7/1202

Internet

https://www.mdpi.com/2072-4292/16/7/1202

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