American Journal of Mechanical Engineering. 2013, 1(7), 226-230
DOI: 10.12691/ajme-1-7-15
Open AccessArticle
Michal Janošek1, and Radim Farana1
1Centre of Excellence IT4Innovations, Division of the University of Ostrava,
Pub. Date: November 26, 2013
Cite this paper:
Michal Janošek and Radim Farana. Traffic Lights Strategy Adaptation. American Journal of Mechanical Engineering. 2013; 1(7):226-230. doi: 10.12691/ajme-1-7-15
Abstract
This paper deals with a problem of a traffic lights strategy adaptation based on a traffic flow. The aim of this paper is to show an advantage of an adaptive traffic lights strategy. For the adaptive traffic lights strategy switching the author’s methodology for adaptation of parameters of complex system for complex system behaviour adaptation is used [3,4,6]. Traffic simulation is done using simulation software NetLogo. As an example, a model of a traffic grid with traffic lights on its crossings is used.Keywords:
traffic lights adaptation strategy methodology complex system pattern recognition
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
http://creativecommons.org/licenses/by/4.0/
Figures
References:
[1] | Křivda, V. Simulation of traffic on intersection after change of traffic priority. Transactions of the VŠB - Technical , Mechanical Series. 2011, LVII. Nr. 1, pp. 195-200. |
|
[2] | Teichmann, D., Dorda, M., Fric, J. An Extended Model for the Design of City Mass Transport Network. Proceedings of the 29th International Conference on Mathematical Methods in Economics 2011. Praha: Professional Publishing, 2011, s. 704-708. |
|
[3] | Janošek, M., Kocian, V., Volná, E. Complex System Simulation Parameters Settings Methodology. Nostradamus. International Publishing Switzerland 2013: Springer, 2013. s. 413-422. |
|
[4] | Janošek, M., Kocian, V. Simulation parameters settings methodology proposal based on leverage points. Chaos and Complex Systems. Springer, 2013. s. 411-414. |
|
[5] | Janošek, M., Kocian, V., Volná, E., Kotyrba, M., Habiballa, H. Predator-Prey Simulation's Parameters and Leverage Points. Proceedings of 27th European Conference on Modelling and Simulation ECMS 2013. Sbr.-Dudweiler, Germany: European Council for Modelling and Simulation, 2013. s. 367-371. |
|
[6] | Volná, E., Janošek, M., Kocian, V., Kotyrba, M., Oplatková, Z. Methodology for System Adaptation Based on Characteristic Patterns. Robotic Systems - Applications, Control and Programming. Croatia: InTech, 2012. s. 611-628. |
|
[7] | Gershenson, C.: Design and Control of Self-organizing Systems. Mexico: CopIt ArXives, 2007. |
|
[8] | Wilensky, U. (1999). NetLogo. http://ccl.northwestern.edu/ netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University. Evanston, IL. |
|