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A New Neural Model for Traffic Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6354))

Abstract

A new neural model to simulate cars traffic behaviour is introduced in this paper. Several strategies, stated as traffic rules, have been developed in order to improve different important parameters within this matter. This new neural model has been developed with the aim of being close to the natural process. An application for simulating a traffic round with several traffic lanes has been developed using the neural model. Furthermore, it can be easily extended to other similar cases.

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References

  1. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. Journal de Physique I 2, 2221–2229 (1992)

    Article  Google Scholar 

  2. Knospe, W., Santen, L., Schadschneider, A., Schreckenberg, M.: Towards a realistic microscopic description of highway traffic. Journal of Phisics A: Mathematical and General 33(48), 477–485 (2000)

    Article  MathSciNet  Google Scholar 

  3. Zeigler, B.P., Praehofer, H., Kim, T.G.: Theory of modeling and simulation: Integrating discrete event and cont. complex dynamic systems. Academic Press, London (2000)

    Google Scholar 

  4. Newell, G.F.: A simplified theory of kinematic waves in highway traffic, part I: General Theory. II Queueing at freeway bottlenecks. Transportation Research -B 27(4), 281–287 (1993)

    Article  Google Scholar 

  5. Lighthill, M.J., Whitham, G.B.: On kinematic waves. I: Flood movements in long rivers. II: A theory of traffic flow on long crowded roads. Proceedings Royal Society A229, 281–345 (1955)

    Article  MathSciNet  Google Scholar 

  6. Rodríguez Zamora, R.: Modelación de flujo de tránsito de autos utilizando autómatas celulares. Doctoral Thesis. Puebla-Mexico (2002) (in Spanish)

    Google Scholar 

  7. Wolfram, S.: A new class of science. Wolfram Media (2002)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Mérida Casermeiro, E., Aguilera Venegas, G., Galán García, J.L., Cielos, P.R. (2010). A New Neural Model for Traffic Simulation. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15825-4_63

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  • DOI: https://doi.org/10.1007/978-3-642-15825-4_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15824-7

  • Online ISBN: 978-3-642-15825-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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