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Intelligent Traffic Flows Control Software for Megapolis
Diveev A.I., Sofronova E.A., Mikhalev V.A., Belyakov A.A.
A problem of traffic flows control in congestion conditions is considered. Control is performed
Analysis of an admission model in a fourth generation mobile network with triple play traffic
Samouylov K.E., Gudkova I.A.
disciplines of servicing the unicast, multicast, and elastic traffics. Approximate methods of calculating
Method of non-stop passage of signal-controlled intersections using dynamic signs and computer vision
Gorodokin V., Shepelev V., Buyvol P., Shepeleva E.
of the scientific committee of the XIV International Conference 2020 SPbGASU “Organization and safety of traffic
Method to evaluate performance of measurement equipment in automated vehicle traffic control systems
Safiullin R., Fedotov V., Marusin A.
traffic control system as a “measurement equipment - identification - vehicle traffic control” system
Dynamic channel allocation scheme with a queue for elastic traffic
Basharin G.P., Shtatnov S.V.
This paper presents a mixed analytical model of preemptive streaming and elastic traffics
Analytical model of streaming and elastic traffic with dynamic channel allocation scheme
Basharin G.P., Aterekova T.V.
traffic integration in a multiservice network with dynamic channel allocation scheme (DCAS). Different
Traffic flow modelling approach based on the controlled networks
Diveev A.I., Kochkin A.D., Pupkov K.A., Sofronova E.A.
The method of construction of traffic flow control models using the controlled networks theory
Neural network for parametric optimization in the problem of traffic management
Kazaryan D.E., Mihalyev V.A., Sofronova E.A.
A problem of adaptive urban traffic flows control is considered. The traffic flow control
The criteria for the study of occurrence of self-oscillation mode of active traffic management module
Velieva T.R., Zaryadov I.S., Korolkova A.V., Kulyabov D.S.
is the interaction of control elements in the network (for example, active traffic management modules) and protocols
ARTIFICIAL NEURAL NETWORK APPROACH TO TRAFFIC FLOW CONTROL
Kazaryan D.E., Mihalyev V.A., Sofronova E.A.
A problem of optimal urban traffic flows control is considered. A mathematical model of control

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