Herramienta de simulación para evaluar configuraciones semafóricas

Ariadna Claudia  Moreno Román; Dayan  Bravo Fraga; Mailyn Moreno Espino

Authors

Ariadna Claudia Moreno Román Universidad Tecnológica de La Habana "José Antonio Echeverría"
Dayan Bravo Fraga Empresa de Telecomunicaciones de Cuba - ETECSA
Mailyn Moreno Espino

Keywords:

Agent Based Simulation, Intelligent Agent, Jam, Maps of highways, Traffic Controller

Abstract

The bad planning of the traffic can bring with it countless negative effects as the collapses, jams and accidents. To avoid this situation, it is useful, before applying configurations in the traffic, to know the impact that they will bring, to value with more trust, if the configuration will be functional or not. At the present time, the simulation of processes is an appropriate solution to make these studies. According to the used simulation type, the results will be more or less near to the reality. The agent based simulation, for its characteristics, contributes advantages as for simulations of road nets. The present work describes the process of development of an agent based simulation tool that it contributes to the process of traffic controller´s configuration. The development of this solution is based in a comparative study of technologies and previous experiences with the purpose of achieving an adjusted result to the necessities and real capacities. The result was the creation of a tool that uses real maps of highways and simulation based on agents using the work mark MASON for the analysis of semaphore configurations. With the development of the same one, analysts and traffic engineers have a tool that contributes them information that helps them analyze and make decisions regarding the problems related to the configuration of traffic controllers.

References

Abar, S. (2017). Agent Based Modelling and Simulation tools: A review of the state-of-art software. Computer Science Review.

Anderson, M., & Whitcomb, P. (2000). Design of experiments. Wiley Online Library.

Capote, J., & Delgado, T. (2009). Marco Teórico Infraestructura Datos Espaciales en el Pry CYTED IDEDES. Semántica espacial y descubrimiento de conocimiento para el desarrollo sostenible, 21-32.

Castán, J. A., Ibarra, S., Laria, J., Guzmán, J., & Castán, E. (2014). Control de tráfico basado en agentes inteligentes. Polibitis.

Colleti, M. (2013). The GeoMason Cookbook. Department of Computer Science George Mason University.

Dirección Nacional de Tránsito. (8 de 10 de 2015). A partir del viernes 9 funcionarán semáforos en la Rotonda de la Ciudad Deportiva. Recuperado el 30 de 04 de 2019, de Cubadebate: http://www.cubadebate.cu/noticias/2015/10/08/a-partir-del-viernes-9-funcionaran-semaforos-en-la-rotonda-de-la-ciudad-deportiva/

Farooqi, A. H., Munir, A., & Baig, A. R. (2011). The: traffic light simulator and optimization using genetic algorithm. International Conference on Computer Engineering and Applications.

Hernández, E. G. (2009). Desarrollo de un modelo de simulación vehicular para la mejora en la sincronización de semáforos. Instituto Nacional de Astrofísica, Óptica y Electrónica.

Hillier, F. (2010). Investigación de operaciones. Madrid: McGraw-Hill Interamericana de España S.L.

Law, A., & WD., K. (1991). Simulation modeling and analysis (Vol. 2). New York: McGraw-Hill.

León, A. M. (2016). Código de Seguridad Vial.

Luke, S. (2017). Multiagent Simulation And the MASON Library. Department of Computer Science George Mason University.

Minitab. (2019). Minitab Statistical Software. Retrieved from Minitab: https://minitab.com

Moon, Y. (2017). Simulation modeling for sustainability: a review of the literature. Int J Sustain Eng.

Moreno Espino, M. (2013). Patrones para incorporar proactividad en sistemas informáticos (Tesis doctoral). La Habana: Instituto Superior Politécnico, José Antonio Echeverría, CUJAE. Obtenido de http://tesis.cujae.edu.cu:8080/xmlui/handle/123456789/247

OpenStreetMap. (2018). Recuperado el 01 de 09 de 2019, de https://www.openstreetmap.org/

Reinaldo, O. F. (23 de 12 de 2015). Rotondas, semáforos y comunicación por descongestionar. Recuperado el 30 de 04 de 2019, de Cubadebate: http://www.cubadebate.cu/opinion/2015/12/23/rotondas-semaforos-y-comunicacion-por-descongestionar

Sarkar, N. C., Bhaskar, A., Zheng, Z., & Miska, M. P. (2020). Microscopic modeling of area-based heterogeneous traffic flow: Area selection and vehicle movement. Transp. Res. Part C Emerg. Technol.

SQLite home page. (2015). Recuperado el 04 de 09 de 2019, de SQLite: https://www.sqlite.org/index.html

Woolridge, M. (2009). An Introduction to MultiAgent Systems (2 ed.). Department of Computer Science, University of Liverpool: John Wiley & Sons.