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Evaluation of the effectiveness of traffic control algorithms based on a simulation model in the AnyLogic
Author(s) -
Ya I. Shamlitskiy,
S. N. Mironenko,
N V Kovbasa,
N. V. Bezrukova,
В. С. Тынченко,
В. В. Кукарцев
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1353/1/012101
Subject(s) - fuel efficiency , reliability (semiconductor) , computer science , control (management) , queueing theory , traffic congestion , transport engineering , traffic network , consumption (sociology) , operations research , simulation , automotive engineering , engineering , computer network , artificial intelligence , quantum mechanics , sociology , social science , power (physics) , physics
The increase in the number of vehicles every year covers an growing number of countries, as a result of which the vehicle fleet of large cities and megalopolises is constantly increasing, as well as the number of people involved in traffic. The growth in traffic leads to the increase in traffic intensity, which in the conditions of cities with historically developed buildings leads to a transport problem. It is particularly acute in the nodal points of the road network. The problems are caused by the increase in transport delays, queuing and congestion, which in turn causes the decrease in the speed of communication, unnecessary consumption of fuel and increased wear of components and assemblies of vehicles. Effective traffic management involves the use of both network and local adaptive control algorithms. City-wide automated system should be based on the principles of maximum management efficiency and reliability of the system.