TY - GEN
T1 - A hybrid representation of urban traffic networks using multi-agent systems and petri nets
AU - Flores-Geronimo, M.
AU - Hernandez-Martinez, E. G.
AU - Ferreira-Vazquez, E. D.
AU - Flores-Godoy, J. J.
AU - Fernandez-Anaya, G.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85072819966&partnerID=8YFLogxK
U2 - 10.1109/CoDIT.2019.8820626
DO - 10.1109/CoDIT.2019.8820626
M3 - Contribución a la conferencia
AN - SCOPUS:85072819966
T3 - 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
SP - 1562
EP - 1567
BT - 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
Y2 - 23 April 2019 through 26 April 2019
ER -