Simulation of Traffic Lights for Green Wave and Dynamically Change of Signal
American Journal of Software Engineering and Applications
Volume 2, Issue 6, December 2013, Pages: 125-132
Received: Aug. 21, 2013; Published: Oct. 20, 2013
Views 3363      Downloads 393
Güney GORGUN, Department of Mechanical Engineering, University of Gaziantep, Gaziantep, Turkey
Ibrahim Halil GUZELBEY, Department of Mechanical Engineering, University of Gaziantep, Gaziantep, Turkey
Article Tools
Follow on us
In this study a traffic light system has been considered and simulated on Matlab to create hierarchical and logical model. This model is designed over five junctions to solve traffic jam in big cities by simulation of continuous flow of traffic lights. This simulation includes Green Wave flow and dynamic change of traffic lights due to change traffic volume. The simulation secures the continuous traffic flow by updating the light time for providing green wave flow.
Matlab, Simulation, Traffic Lights, Green Wave Flow and Traffic Volume
To cite this article
Güney GORGUN, Ibrahim Halil GUZELBEY, Simulation of Traffic Lights for Green Wave and Dynamically Change of Signal, American Journal of Software Engineering and Applications. Vol. 2, No. 6, 2013, pp. 125-132. doi: 10.11648/j.ajsea.20130206.11
J. Niittymäki, M. Pursula. Signal Control Using Fuzzy Logic; Fuzzy Sets and Systems, Vol. 116(1), 2000, pp. 11–22
A.S.M. Rahman, N.T. Ratrout. Review of the Fuzzy Logic Based Approach in Traffic Signal Control: Prospects in Saudi; Journal of Transportation Systems Engineering and Information Technology, Vol. 9(5), 2009, pp. 58–70
I. Kosonen. Multi-Agent Fuzzy Signal Control Based on Real-Time Simulation; Transportation Research Part C: Emerging Technologies, Vol. 11(5), 2003, pp. 389–403
W. M. Wey. Model Formulation and Solution Algorithm of Traffic Signal Control in an Urban Network; Computers Environment and Urban Systems, Vol. 24(4), 2000, pp.355-378
M. J. Caruso, L. S. Withanawasam. Vehicle Detection and Compass Applications using AMR Magnetic Sensors; Sensors Expo Proceedings, May 1999, pp.477-489.
K. Tavladakis, N. C. Voulgaris. Development of Autonomous Adaptive Traffic Control System in ESIT’99; The European Symposium on Intelligent Techniques, 1999.
Rate, Woesler, Richard. Real-time Recognition and Reidentification of Vehicles from Video Data with high Reidentification; 8th World Multiconference on Systemics, 2004, pp.347-352
T. Y. Liao, R. B. Machemehl. Development of an Aggregate Fuel Consumption Model for Signalized Intersections; Transportation Research Board of the National Academies, Vol. 16(41), 1998, pp.9-18
A. Warberg, J. Larseny, R. M. Jorgensen. Green Wave Traffic Optimization- A survey Informatics and Mathematical Modelling; Technical University of Denmark, DTU, 2008, pp.1-23
H. Rakha, Y. Ding, Impact of stops on vehicle fuel consumption and emissions; Journal of Transportation Engineering, Vol.129 (1), 2003, pp.23–32,
I. D. Greenwood C. R. Bennett. The Effects of Traffic Congestion on Fuel Consumption; Road & Transport Research, Vol. 5, No. 2, June 1996, pp. 18-31.
C.Gershenson. Self-organizing Traffic Lights; Complex Systems, Vol.16 (1), 2005, pp.29-53
Stateflow User’s Guide the Math Works, Inc.
D.Greenwood, B. Burdiliak, I. Trencansky, H. Armbruster. Green Wave Distributed Traffic Intersection Control; Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, Vol.2, 2009, pp.1413-1414.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186