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Título del libro: Proceedings - Ems 2015: Uksim-Amss 9th Ieee European Modelling Symposium On Computer Modelling And Simulation
Título del capítulo: On-ramp traffic merging modeling based on cellular automata

Autores UNAM:
MARIA ELENA LARRAGA RAMIREZ; LUIS AGUSTIN ALVAREZ ICAZA LONGORIA; DAVID GUILLERMO ROMERO VARGAS;
Autores externos:

Idioma:
Inglés
Año de publicación:
2016
Palabras clave:

Behavioral research; Cellular automata; Complex networks; Computer simulation; Highway traffic control; Merging; Roads and streets; Traffic control; Bottlenecks; Cellular automata models; Extensive simulations; Microscopic traffic simulation; On-ramp; Traffic analysis; Traffic flow simulation; Traffic networks; Street traffic control


Resumen:

Bottlenecks represent locations in a traffic network where capacity is greatly reduced. For that reason merging models are an important component of microscopic traffic simulation. In this paper an asymmetric two lanes cellular automata (CA) model with an on-ramp for traffic flow simulation is presented. The model takes into account mechanical restrictions of vehicles and drivers psychological behavior and preserves the computational simplicity of CA traffic models. The aim is to explore the usefulness of CA to model and simulate properly the access of vehicles from on-ramps to the main lanes of a road. Extensive simulation results indicate that CA models can adequately capture the complexity, in terms of traffic phases, of on-ramp merging in real traffic and reproduce the bottlenecks induced by large volumes of traffic flow demanding access to the road. © 2015 IEEE.


Entidades citadas de la UNAM: