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Modeling Disruption and Recovery of Traffic in Road Networks

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Cellular Automata (ACRI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8751))

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Abstract

We study the impact of disruptions on traffic networks, and the relaxation of the system after the removal of the disruption. We model the steady-state density along the disrupted route using a simple phenomenological model. We then combine this model with domain wall theory to analyze the transient behavior of the system. We compare the predictions produced by these macroscopic models with simulations of a stochastic cellular automaton model.

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Author information

Authors and Affiliations

  1. School of Mathematical Sciences, Monash University, Victoria, Australia

    Lele Zhang & Timothy M. Garoni

Authors
  1. Lele Zhang
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  2. Timothy M. Garoni
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Editor information

Editors and Affiliations

  1. Dept. of Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, 30-059, Krakow, Poland

    Jarosław Wąs

  2. Dept. of Electrical and Computer Engineering, Democritus University of Thrace, 67100, Xanthi, Greece

    Georgios Ch. Sirakoulis

  3. CSAI - Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, 20126, Milan, Italy

    Stefania Bandini

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Zhang, L., Garoni, T.M. (2014). Modeling Disruption and Recovery of Traffic in Road Networks. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_68

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  • DOI: https://doi.org/10.1007/978-3-319-11520-7_68

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11519-1

  • Online ISBN: 978-3-319-11520-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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