Long and Short-Term Bus Arrival Time Prediction With Traffic Density Matrix

Long and Short-Term Bus Arrival Time Prediction With Traffic Density Matrix

This article introduces a novel machine learning approach dedicated to the prediction of the bus arrival times in the bus stations over a given itinerary, based on the so-called Traffic Density Matrix (TDM). The TDM constructs a localized representation of the traffic information in a given urban ar...

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Bibliographic Details
Main Authors: Dancho Panovski, Titus Zaharia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Machine learning
deep learning
artificial neural networks
public transportation
traffic simulation
intelligent transportation systems
Online Access:https://ieeexplore.ieee.org/document/9291488/

Internet

https://ieeexplore.ieee.org/document/9291488/

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