A realistic simulation for self-organizing traffic lights

Cools, Seung Bae (2006) A realistic simulation for self-organizing traffic lights. [Thesis]

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Traffic density has been growing during the last decades. New and better traffic light controllers are needed. Carlos Gershenson has proposed self- organizing traffic light controllers which are much better than current "green wave" methods. This has been tested by simulation with a realistic traffic simulator, which is an extended version of the Green Light District / iAtracos project. The simulations of the traffic light controllers are done for three scenarios. The third scenario is the Wetstraat of Brussels, which is created to approach the real infrastructure and traffic dynamics. The simulation results show that the proposed Sotl-platoon controller is much better than the green wave controller.

Item Type:Thesis
Keywords:self-organization, traffic, multi-agent simulation
Subjects:Computer Science > Dynamical Systems
Computer Science > Complexity Theory
Computer Science > Artificial Intelligence
ID Code:5229
Deposited By: Gershenson, Carlos
Deposited On:23 Oct 2006
Last Modified:11 Mar 2011 08:56

References in Article

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[Bal98] Osman Balci. Verification, validation, and testing. In J. Banks, editor, Handbook of simulation, pages 335–393. John Wiley and Sons, New York, NY, 1998.

[DH05] Jean-Patrick Lebacque Dirk Helbing, Stefan Lammer. Selforganized control of irregular or pertubed network traffic. In C. Deissenberg and R. F. Hartl, editors, Optimal Control and Dynamic Games, pages 239–274. Springer, Dortrecht, 2005.

[DS04] Kurt Dresner and Peter Stone. Multiagent traffic management: A reservation-based intersection control mechanism. In The Third International Joint Conference on Autonomous Agents and Multiagent Systems, pages 530–537, 2004.

[ea] Gaston Escobar et al.

[FSS04a] M. Ebrahim Fouladvand, Zeinab Sadjadi, and M. Reza Shaebani. Characteristics of vehicular traffic flow at a roundabout. Physical Review E, 70:046132, 2004.

[FSS04b] M. Ebrahim Fouladvand, Zeinab Sadjadi, andMReza Shaebani. Optimized traffic flow at a single intersection: Traffic responsive signalization. J. Phys. A: Math. Gen., 37:561–576, 2004.

[Ger05] Carlos Gershenson. Self-organizing traffic lights. Complex Systems, 16(1):29–53, 2005.


[Her04] Luis Miramontes Hercog. Co-evolutionary agent self-organization for city traffic congestion modeling. In Genetic and Evolutionary Computation - GECCO 2004: Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004. Proceedings, Part II, pages 993–1004. Springer-Verlag, 2004.

[KEW] Renato Levy Kutluhan Erol and James Wentworth. Application of agent technology to traffic simulation.

[KH03] Robert Kölbl and Dirk Helbing. Energy laws in human behaviour. New Journal of Physics, (5):48.1 – 48.12, 2003.


[Nag06] Kai Nagel. Multi-Agent Transportation Simulation. Book in progress, 2006.

[Ohi97] Toru Ohira. Autonomous traffic signal control model with neural network analogy. In Proceedings of InterSymp’97: 9th International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden, Germany, August 1997. SCSL-TR-97-004.

[OK02] Sigurdur Olafsson and Jumi Kim. Simulation optimization. In J. L. Snowdon E. Yücesan, C.-H. Chen and J. M. Charnes, editors, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, San Diego, California, pages 79–84. Winter Simulation Conference, 2002.



[WS02] U. Wilensky and W. Stroup. NetLogo HubNet Gridlock model, 2002.

[WVVK04] M.Wiering, J. Vreeken, J. Van Veenen, and A. Koopman. Simulation and optimization of traffic in a city. In IEEE Intelligent Vehicles Symposium (IV’04), pages 453–458. IEEE, 2004.


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