A hybrid representation of urban traffic networks using multi-agent systems and petri nets

M. Flores-Geronimo, E. G. Hernandez-Martinez, E. D. Ferreira-Vazquez, J. J. Flores-Godoy, G. Fernandez-Anaya

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

This paper presents a novel modeling of complex urban traffic networks based on the interconnections of agents which represent the vehicular fluid dynamics in physical spaces like streets and intersections, supervised by a Petri Net. The agent's behavior is ruled by simple nonlinear differential equations based on the vehicular density, average vehicle velocities, congestions and occupation capacities. The Petri Net is designed to manage the traffic light cycles, enabling or disabling the flow of vehicles to and from adjacent agents. The main contribution of the paper is to define the basis of a hybrid and modular system to be addressed by the theory of multi-agent systems and supervisory control of Petri Nets. An example modeling a real intersection in the city of Montevideo is presented. The model's behavior is compared with a common traffic simulator in order to show the potential of the approach and its scalability to more complex traffic networks.

Idioma originalInglés
Título de la publicación alojada2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1562-1567
Número de páginas6
ISBN (versión digital)9781728105215
DOI
EstadoPublicada - abr. 2019
Evento6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 - Paris
Duración: 23 abr. 201926 abr. 2019

Serie de la publicación

Nombre2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

Conferencia

Conferencia6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
País/TerritorioFrance
CiudadParis
Período23/04/1926/04/19

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