Traffic flow modelling approach based on the controlled networks

The method of construction of traffic flow control models using the controlled networks theory is considered. A detailed example of construction of the model is presented. The obtained model is a system of nonlinear finite-difference equations. The model can include any number of intersections and considers different features of the road network. To solve the problem of optimal control of traffic flow a genetic algorithm is applied. Then using methods of parametric identification we find the parameters of flow distribution and the capacity of manoeuvres at intersections. © 2012 IFAC.

Authors
Diveev A.I.1 , Kochkin A.D. 2 , Pupkov K.A.3 , Sofronova E.A. 2
Conference proceedings
IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher
IFAC Secretariat
Number of issue
24
Language
English
Pages
309-314
Status
Published
DOI
10.3182/20120912-3-BG-2031.00065
Volume
45
Year
2012
Organizations
  • 1 Institution of Russian Academy of Sciences Dorodnicyn Computing Centre of RAS, 40, Vavilov St., Moscow, 119333, Russian Federation
  • 2 Peoples' Friendship University of Russia, 6, Miklukho-Maklaya St., Moscow, 117198, Russian Federation
  • 3 Bauman Moscow State Technical University, 5, 2-nd Baumanskaya St., Moscow, 105005, Russian Federation
Keywords
Controlled networks; Genetic algorithms; Network operator; Optimal control; Traffic flow model
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/2401/
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