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Traffic Prediction Based on Modified Nagel-Schreckenberg Model. Case Study for Traffic in the City of Darmstadt

  • Łukasz GosekEmail author
  • Fryderyk Muras
  • Przemysław Michałek
  • Jarosław Wąs
Conference paper
  • 286 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12044)

Abstract

In this study the authors present a model for traffic flow prediction based on Nagel-Schreckenberg Cellular Automata model. The basic model was expanded to allow simulation of multi-lane roads along with representing different types of cars and drivers’ psychological profiles found in urban traffic. Real traffic data from sensors in Darmstadt city (Germany) were used to perform a set of simulations on presented model.

Keywords

Traffic prediction Cellular Automata Nagel - Schreckenberg model 

Notes

Acknowledgement

We would like to express our gratitude for [ui!] Urban Software Institute GMBH (https://www.ui.city/de/) for sharing their data regarding traffic in the city of Darmstadt.

References

  1. 1.
    Chmielewska, M., Kotlarz, M., Wąs, J.: Computer simulation of traffic flow based on cellular automata and multi-agent system. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds.) PPAM 2015. LNCS, vol. 9574, pp. 517–527. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-32152-3_48CrossRefGoogle Scholar
  2. 2.
    Chowdhury, D., Santen, L., Schadschneider, A.: Statistical physics of vehicular traffic and some related systems. Physics reports 329(4–6), 199–329 (2000)Google Scholar
  3. 3.
    Hartman, D.: Head leading algorithm for urban traffic modeling. Positions 2, 1 (2004)Google Scholar
  4. 4.
    Járai-Szabó, F., Néda, Z.: Earthquake model describes traffic jams caused by imperfect driving styles. Physica A 391(22), 5727–5738 (2012)CrossRefGoogle Scholar
  5. 5.
    Mandavilli, S., McCartt, A.T., Retting, R.A.: Crash patterns and potential engineering countermeasures at Maryland roundabouts. Traffic Inj. Prev. 10(1), 44–50 (2009)CrossRefGoogle Scholar
  6. 6.
    Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Phys. I 2(12), 2221–2229 (1992)Google Scholar
  7. 7.
    Persaud, B., Retting, R., Garder, P., Lord, D.: Safety effect of roundabout conversions in the United States: empirical Bayes observational before-after study. Transp. Res. Rec. J. Transp. Res. Board 1751, 1–8 (2001)CrossRefGoogle Scholar
  8. 8.
    Regragui, Y., Moussa, N.: A cellular automata model for urban traffic with multiple roundabouts. Chin. J. Phys. 56(3), 1273–1285 (2018)CrossRefGoogle Scholar
  9. 9.
    Rickert, M., Nagel, K., Schreckenberg, M., Latour, A.: Two lane traffic simulations using cellular automata. Physica A 2, 17 (1995)Google Scholar
  10. 10.
    Wagner, P.: Traffic simulations using cellular automata: comparison with reality. Univ. (1995)Google Scholar
  11. 11.
    Wąs, J., Bieliński, R., Gajewski, B., Orzechowski, P.: Problematyka modelowania ruchu miejskiego z wykorzystaniem automatów komórkowych. Automatyka/Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie 13(3/1), 1207–1217 (2009)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Łukasz Gosek
    • 1
    Email author
  • Fryderyk Muras
    • 1
  • Przemysław Michałek
    • 1
  • Jarosław Wąs
    • 1
  1. 1.AGH University of Science and TechnologyKrakówPoland

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