Abstract
The routes and streets make it possible to drive and travel through the cities, but unfortunately traffic and particularly congestion leads to drivers losing time while traveling from one place to another, because of the time it takes to transit on the roads, in addition to waiting times by traffic lights. This research introduces the extension of an agent-oriented system aimed at reducing driver waiting times at a street intersection. The simulation environment was implemented in NetLogo, which allowed comparison of the impact of smart traffic light use versus a fixed-time traffic light.
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References
Banos, A., Lang, C., Marilleau, N.: Agent-Based Spatial Simulation with NetLogo, vol. 1. Elsevier, Amsterdam (2015)
Amelec, V.: Validation process container for distribution of articles for home. Adv. Sci. Lett. 21(5), 1413–1415 (2015)
Nagatani, T.: Vehicular traffic through a sequence of green-wave lights. Physica A Stat. Mech. Appl. 380, 503–511 (2007)
Bui, K.H.N., Jung, J.E., Camacho, D.: Game theoretic approach on real-time decision making for IoT-based traffic light control. Concurr. Comput. Pract. Exp. 29(11), e4077 (2017)
Bui, K.H.N., Camacho, D., Jung, J.E.: Real-time traffic flow management based on inter-object communication: a case study at intersection. Mob. Netw. Appl. 22(4), 613–624 (2017)
Rao, A.M., Rao, K.R.: Measuring urban traffic congestion-a review. Int. J. Traffic Transp. Eng. 2(4), 286–305 (2012)
Hennessy, D.A., Wiesenthal, D.L.: Traffic congestion, driver stress, and driver aggression. Aggress. Behav. 25(6), 409–423 (1999)
Putha, R., Quadrifoglio, L., Zechman, E.: Comparing ant colony optimization and genetic algorithm approaches for solving traffic signal coordination under oversaturation conditions. Comput. Aided Civ. Infrastruct. Eng. 27(1), 14–28 (2012)
Teodorović, D., Dell’Orco, M.: Mitigating traffic congestion: solving the ride-matching problem by bee colony optimization. Transp. Plan. Technol. 31(2), 135–152 (2008)
Bazzan, A.L., Klügl, F.: A review on agent-based technology for traffic and transportation. Knowl. Eng. Rev. 29(3), 375–403 (2014)
Oviedo, C., Campo, A.: Aproximación al uso del coeficiente alfa de Cronbach. Revista Colombianan de Psiquiatría 34(4), 572–580 (2005)
Demsar, J., Curk, T., Erjavec, A., Gorup, C., Hocevar, T., Milutinovic, M., Mozina, M., Polajnar, M., Toplak, M., Staric, A., Stajdohar, M., Umek, L., Zagar, L., Zbontar, J., Zitnik, M., Zupan, B.: Orange: data mining toolbox in Python. J. Mach. Learn. Res. 14(1), 2349–2353 (2013)
Amelec, V., Alexander, P.: Improvements in the automatic distribution process of finished product for pet food category in multinational company. Adv. Sci. Lett. 21(5), 1419–1421 (2015)
Tan, F., Wu, J., Xia, Y., Chi, K.T.: Traffic congestion in interconnected complex networks. Phys. Rev. E 89(6), 062813 (2014)
Battolla, T.F., Fuentes, S., Illi, J.I., Nacht, J., Falco, M., Pezzuchi, G., Robiolo, G.: Sistema dinámico y adaptativo para el control del tráfico de una intersección de calles: modelación y simulación de un sistema multi-agente. En: Simposio Argentino de Inteligencia Artificial (ASAI) – Jornadas Argentinas de Informática, Universidad de Palermo, Septiembre de 2018
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Silva, J., Varela, N., Lezama, O.B.P. (2020). Optimizing Street Mobility Through a NetLogo Simulation Environment. In: Smys, S., Tavares, J., Balas, V., Iliyasu, A. (eds) Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-030-37218-7_6
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DOI: https://doi.org/10.1007/978-3-030-37218-7_6
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