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Universal behavior in a model of city traffic with unequal green/red times

Author

Listed:
  • Pastén, D.
  • Muñoz, V.
  • Toledo, B.
  • Villalobos, J.
  • Zarama, R.
  • Rogan, J.
  • Valdivia, J.A.

Abstract

The effect of green/red asymmetry is studied for the single-car traffic model proposed in [B.A. Toledo, V. Muñoz, J. Rogan, C. Tenreiro, J.A. Valdivia, Modeling traffic through a sequence of traffic lights, Phys. Rev. E 70 (1) (2004) 016107], on two different signal synchronization strategies, namely, all signals in phase, and a green wave. The asymmetry is characterized by the parameter g=tgr/T, where tgr is the green time and T the signal period. Although the car dynamics turns simpler or more complex, as compared with the equivalent situation for the symmetric case g=0.5, critical behavior around resonance is shown to be preserved. However, unlike the case g=0.5, critical exponents at both sides of the resonance are not equal and depend on g. Analytical expressions for them are found, and shown to be both consistent with simulation results and independent of the distribution of distances between signals for the green wave case. Also, it is found that the green wave strategy is more robust to changes in g, with respect to the synchronized lights strategy, in the sense that larger departures from g=0.5 are needed to have noticeable effects on the car dynamics.

Suggested Citation

  • Pastén, D. & Muñoz, V. & Toledo, B. & Villalobos, J. & Zarama, R. & Rogan, J. & Valdivia, J.A., 2012. "Universal behavior in a model of city traffic with unequal green/red times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5230-5243.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:21:p:5230-5243
    DOI: 10.1016/j.physa.2012.06.005
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    References listed on IDEAS

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    1. Nagatani, Takashi, 2007. "Nonlinear-map model for split effect on vehicular traffic through periodic signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 374(1), pages 431-440.
    2. Tanaka, Katsunori & Nagatani, Takashi & Masukura, Shuichi, 2008. "Fundamental diagram in traffic flow of mixed vehicles on multi-lane highway," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5583-5596.
    3. Wastavino, L.A. & Toledo, B.A. & Rogan, J. & Zarama, R. & Muñoz, V. & Valdivia, J.A., 2007. "Modeling traffic on crossroads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 381(C), pages 411-419.
    4. Wang, Ruili & Jiang, Rui & Wu, Qing-Song & Liu, Mingzhe, 2007. "Synchronized flow and phase separations in single-lane mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 378(2), pages 475-484.
    5. Montemayor-Aldrete, J.A. & Ugalde-Vélez, P. & del Castillo-Mussot, M. & Vázquez-Villanueva, C.A. & Vázquez, G.J. & Mendoza-Allende, A., 2006. "Steady state traffic flow, entropy production rate, temporal fluctuations and fuel consumption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 361(2), pages 630-642.
    6. Najem Moussa, 2008. "Modeling Evacuation Of Emergency Vehicles By Cellular Automata Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 947-956.
    7. Nagatani, Takashi, 2007. "Clustering and maximal flow in vehicular traffic through a sequence of traffic lights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 651-660.
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