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.

Авторы
Diveev A.I.1 , Kochkin A.D. 2 , Pupkov K.A.3 , Sofronova E.A. 2
Редакторы
-
Сборник материалов конференции
Издательство
IFAC Secretariat
Номер выпуска
24
Язык
Английский
Страницы
309-314
Статус
Опубликовано
Подразделение
-
Ссылка
-
Номер
-
Том
45
Год
2012
Организации
  • 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
Ключевые слова
Controlled networks; Genetic algorithms; Network operator; Optimal control; Traffic flow model
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/2401/