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Decentralized Method for Traffic Monitoring

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Book cover Cellular Automata (ACRI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7495))

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Abstract

We propose a decentralized method for traffic monitoring, fully distributed over the vehicles. An algorithm is provided, specifying which information should be tracked to reconstruct an instantaneous map of traffic flow. We test the accuracy of our method in a simple cellular automata traffic simulation model, for which the traffic condition can be controlled and analyzed theoretically.

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References

  1. Sartoretti, G.: Communication method for decentralized estimation of traffic density. Technical report, University of Geneva. Master Thesis (2012)

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  2. Chopard, B., Luthi, P.O., Queloz, P.A.: Cellular automata model of car traffic in a two-dimensional street network. Journal of Physics A: Mathematical and General 29(10), 2325 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  3. Dijkstra, J., Timmermans, H.J.P., Jessurun, A.J.: A multi-agent cellular automata system for visualising simulated pedestrian activity. In: Bandini, S., Worsch, T. (eds.) Theoretical and Practical Issues on Cellular Automata - Proceedings on the 4th International Conference on Cellular Automata for Research and Industry, pp. 29–36. Springer (2000)

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  4. Dupuis, A., Chopard, B.: Cellular automata simulations of traffic: A model for the city of geneva. Networks and Spatial Economics 3, 9–21 (2003), doi:10.1023/A:1022044932736

    Article  Google Scholar 

  5. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. I France 2(12), 221–2229 (1992), http://dx.doi.org/10.1051/jp1:1992277

    Article  Google Scholar 

  6. Nishinari, K., Fukui, M., Schadschneider, A.: A stochastic cellular automaton model for traffic flow with multiple metastable states. Journal of Physics A: Mathematical and General 37(9), 3101 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  7. Wolfram, S.: Theory and Application of Cellular Automata. World Scientific, Singapore (1986)

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© 2012 Springer-Verlag Berlin Heidelberg

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Sartoretti, G., Falcone, JL., Chopard, B., Gander, M.J. (2012). Decentralized Method for Traffic Monitoring. In: Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2012. Lecture Notes in Computer Science, vol 7495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33350-7_48

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  • DOI: https://doi.org/10.1007/978-3-642-33350-7_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33349-1

  • Online ISBN: 978-3-642-33350-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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