Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on High-Tech and Innovations in Research and Manufacturing, HIRM 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1353/1/012101

Аннотация: 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. © 2019 Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1353, Is. 1

Номера страниц: 12101

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Shamlitskiy Y.I. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Mironenko S.N. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Kovbasa N.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Bezrukova N.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation)
• Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)
• Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, 31 Krasnoyarsky Rabochy Avenue, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, 79 Svobodny Avenue, Krasnoyarsk, 660041, Russian Federation)

• Scopus
• Ядро РИНЦ (eLIBRARY.RU)