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Impact of vehicular pollution on the Arctic
Popova I., Leonteva L., Danilov I., Marusin A., Makarova I.
smart traffic lights
Impact of vehicular pollution on the Arctic
Popova I., Leonteva L., Danilov I., Marusin A., Marusin A., Makarova I.
smart traffic lights
Smart transportation networks using artificial intelligence technologies
Alkakjea, H. A. M.
with intelligence, technologies have also become important matters. Traffic and safety in smart transportation
Optimization of adaptive traffic light control modes based on machine vision
Gorodokin V., Zhankaziev S., Shepeleva E., Magdin K., Evtyukov S.
lights operation. With dynamic collection and interpretation of traffic flow data from traffic monitoring
On modeling the traffic of vehicles through the road intersection of a smart city
Bogdanova E.Y., Khalina V.A., Rykov V.V., Samouylov K.E.
(ICT) systems and services usage. ICTs can play a key role in smart transport management; utilities
Numerical Analysis of the Simplest Model of Traffic Flow in a Smart City
Bogdanova E.Y.
The task formulation of managing traffic flows is presented in the report. A mathematical model
Внедрение умного светофора как фактора безопасности движения на улицах г. Якутска
Иовлева, Е. Л., Филиппова, Н. А., Куренков, П. В., Вакуленко, С. П.
Introduction of smart traffic lights as a factor of traffic safety on the streets of Yakutsk
Method of non-stop passage of signal-controlled intersections using dynamic signs and computer vision
Gorodokin V., Shepelev V., Buyvol P., Shepeleva E.
of sharing lanes by both kinds of vehicles have a large influence on the operation of traffic lights. Due
Model predictive control for urban traffic flows
Diveev A., Sofronova E., Mikhalev V.
by the traffic lights at intersections using the controlled networks theory is given. It is a system of nonlinear
The Use of the YOLO neural network in the task of separating vehicles and pedestrians at a signal-controlled intersection
Ibriaeva O., Shepelev V., Zhulev A., Chizhova M., Yakupova G., Fatikhova L.
this problem based on adaptive traffic light control through the use of computer vision. To solve the problem

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