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Self-Organizing Traffic Lights: A Realistic Simulation

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  • Green Light
  • Realistic Simulation
  • Granular Flow
  • Green Wave
  • Side Street

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References

  • Ashby, W.R. (1962). Principles of the self-organizing system. In Foerster, H.V., and G.W.Zopf, J., editors, Principles of Self-Organization, pages 255–278. Pergamon, Oxford.

    Google Scholar 

  • Camazine, S., Deneubourg, J.-L., Franks, N.R., Sneyd, J., Theraulaz, G., and Bonabeau, E. (2003). Self-Organization in Biological Systems. Princeton University Press, Princeton, NJ.

    MATH  Google Scholar 

  • Cools, S.B. (2006). A realistic simulation for self-organizing traffic lights. Unpublished BSc Thesis, Vrije Universiteit Brussel.

    Google Scholar 

  • Federal Highway Administration (1998). Traffic Control Systems Handbook. U.S. Department of Transportation.

    Google Scholar 

  • Gershenson, C. (2005). Self-organizing traffic lights. Complex Systems, 16(1):29–53.

    MATH  Google Scholar 

  • Gershenson, C. (2006). A general methodology for designing self-organizing systems. Technical Report 2005-05, ECCO.

    Google Scholar 

  • Gershenson, C., and Heylighen, F. (2003). When can we call a system self-organizing? In Banzhaf, W., Christaller, T., Dittrich, P., Kim, J.T., and Ziegler, J., editors, Advances in Artificial Life, 7th European Conference, ECAL 2003 LNAI 2801, pages 606–614. Springer, Berlin.

    Google Scholar 

  • Haken, H. (1981). Synergetics and the problem of self-organization. In Roth, G. and Schwegler, H., editors, Self-Organizing Systems: An Interdisciplinary Approach, pages 9–13. Campus Verlag, New York.

    Google Scholar 

  • Helbing, D. (1997). Verkehrsdynamik. Springer, Berlin.

    CrossRef  Google Scholar 

  • Helbing, D., Herrmann, H.J., Schreckenberg, M., and Wolf, D.E., editors (2000). Traffic and Granular Flow ’99: Social, Traffic, and Granular Dynamics, Springer, Berlin.

    MATH  Google Scholar 

  • Helbing, D., and Huberman, B.A. (1998). Coherent moving states in highway traffic. Nature, 396:738–740.

    CrossRef  Google Scholar 

  • Helbing, D., Lämmer, S., and Lebacque, J.-P. (2005). Self-organized control of irregular or perturbed network traffic. In Deissenberg, C. and Hartl, R.F., editors, Optimal Control and Dynamic Games, pages 239–274. Springer, Dordrecht.

    CrossRef  Google Scholar 

  • Heylighen, F. (2003). The science of self-organization and adaptivity. In Kiel, L.D., editor, The Encyclopedia of Life Support Systems. EOLSS, Oxford.

    Google Scholar 

  • Heylighen, F., and Gershenson, C. (2003). The meaning of self-organization in computing. IEEE Intelligent Systems, pages 72–75.

    Google Scholar 

  • Hunt, P.B., Robertson, D.I., Bretherton, R.D., and Winton, R.I. (1981). SCOOT-a traffic responsive method of coordinating signals. Technical report, TRRL.

    Google Scholar 

  • Lämmer, S., Kori, H., Peters, K., and Helbing, D. (2006). Decentralised control of material or traffic flows in networks using phase-synchronisation. Physica A, 363(1):39–47.

    CrossRef  Google Scholar 

  • Lendaris, G.G. (1964). On the definition of self-organizing systems. Proceedings of the IEEE 52(3):324–325.

    CrossRef  Google Scholar 

  • Nicolis, G., and Prigogine, I. (1977). Self-Organization in Non-Equilibrium Systems: From Dissipative Structures to Order Through Fluctuations. Wiley, New York.

    MATH  Google Scholar 

  • Porche, I., and Lafortune, S. (1998). Adaptive look-ahead optimization of traffic signals. ITS Journal, 4(3):209–254.

    Google Scholar 

  • Prigogine, I., and Herman, R. (1971). Kinetic Theory of Vehicular Traffic. Elsevier, New York.

    MATH  Google Scholar 

  • Schreckenberg, M., and Wolf, D.E., editors (1998). Traffic and Granular Flow ’97, Springer, Singapore.

    Google Scholar 

  • Shalizi, C.R. (2001). Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata. PhD thesis, University of Wisconsin, Madison.

    Google Scholar 

  • Skår, J. and Coveney, P.V., editors (2003). Self-Organization: The Quest for the Origin and Evolution of Structure. Phil. Trans. R. Soc. Lond. A 361(1807). Proceedings of the 2002 Nobel Symposium on Self-Organization.

    Google Scholar 

  • Vincent, R.A., and Young, C.P. (1986). Self optimising traffic signal control using microprocessors - the TRRL MOVA strategy for isolated intersections. Traffic Engineering and Control, 27(7-8):385–387.

    Google Scholar 

  • von Foerster, H. (1960). On self-organizing systems and their environments. In Yovitts, M.C., and Cameron, S., editors, Self-Organizing Systems, pages 31–50. Pergamon, New York .

    Google Scholar 

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

    Google Scholar 

  • Wolf, D.E., Schreckenberg, M., and Bachem, A., editors (1996). Traffic and Granular Flow ’95, World Scientific, Singapore.

    Google Scholar 

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Cools, SB., Gershenson, C., D’Hooghe, B. (2008). Self-Organizing Traffic Lights: A Realistic Simulation. In: Prokopenko, M. (eds) Advances in Applied Self-organizing Systems. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-84628-982-8_3

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  • DOI: https://doi.org/10.1007/978-1-84628-982-8_3

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