Forecasting the Passage Time of the Queue of Highly Automated Vehicles Based on Neural Networks in the Services of Cooperative Intelligent Transport Systems

Forecasting the Passage Time of the Queue of Highly Automated Vehicles Based on Neural Networks in the Services of Cooperative Intelligent Transport Systems

This study addresses the problem of non-stop passage by vehicles at intersections based on special processing of data from a road camera or video detector. The basic task in this article is formulated as a forecast for the release time of a controlled intersection by non-group vehicles, taking into...

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Bibliographic Details
Main Authors: Vladimir Shepelev, Sultan Zhankaziev, Sergey Aliukov, Vitalii Varkentin, Aleksandr Marusin, Alexey Marusin, Aleksandr Gritsenko
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
traffic signal control
machine learning
intelligent transport systems
unmanned vehicles
Online Access:https://www.mdpi.com/2227-7390/10/2/282

Internet

https://www.mdpi.com/2227-7390/10/2/282

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