Traffic flow speed prediction on transportation graph with convolutional neural networks

Traffic flow speed prediction on transportation graph with convolutional neural networks

The short-term prediction of road traffic condition is one of the main tasks of transportation modelling. The main purpose of which are traffic control, reporting of accidents, avoiding traffic jams due to knowledge of traffic flow and subsequent transportation planning. A number of solutions exist...

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Bibliographic Details
Main Authors: Nikolay G. Prokoptsev, Andrey Evgen'evich Alekseenko, Yaroslav Aleksandrovich Kholodov
Format: Article
Language:Russian
Published: Institute of Computer Science 2018-06-01
Series:Компьютерные исследования и моделирование
Subjects:
neural network
traffic network flow
traffic flow
traffic prediction
Online Access:http://crm.ics.org.ru/uploads/crmissues/crm_2018_3/2018_01_09.pdf

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