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Regulator Algorithms of Traffic Control Systems
Author(s) -
P Mika
Publication year - 2016
Publication title -
acta technica jaurinensis
Language(s) - English
Resource type - Journals
eISSN - 2064-5228
pISSN - 1789-6932
DOI - 10.14513/actatechjaur.v9.n3.399
Subject(s) - model predictive control , computer science , traffic flow (computer networking) , control (management) , synchronization (alternating current) , nonlinear system , algorithm , control engineering , engineering , computer network , channel (broadcasting) , artificial intelligence , physics , quantum mechanics
Currently known control algorithm of traffic control systems are based on a model predictive control (MPC). The MPC method implementation uses the Jacobi iteration method, which is effectively a nonlinear programming problem solving algorithm with limitation. The development objective is to reduce congestion, reduce travel time and to ensure consistent traffic flow. The MPC-based control used in any urban transport network, but the measuring system and advanced traffic management equipment is required for the proper operation. In this study, a regulative algorithm of the traffic control systems synchronization for the proper operation is presented.

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