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Crossover transitions in a bus–car mixed-traffic cellular automata model

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  • Dailisan, Damian N.
  • Lim, May T.

Abstract

We modify the Nagel–Schreckenberg (NaSch) cellular automata model to study mixed-traffic dynamics. We focus on the interplay between passenger availability and bus-stopping constraints. Buses stop next to occupied cells of a discretized sidewalk model. By parametrizing the spacing distance between designated stops, our simulation covers the range of load-anywhere behavior to that of well-spaced stops. The interplay of passenger arrival rates and bus densities drives crossover transitions from platooning to non-platooned (free-flow and congested) states. We show that platoons can be dissolved by either decreasing the passenger arrival rate or increasing the bus density. The critical passenger arrival rate at which platoons are dissolved is an exponential function of vehicle density. We also find that at low densities, spacing stops close together induces platooned states, which reduces system speeds and increases waiting times of passengers.

Suggested Citation

  • Dailisan, Damian N. & Lim, May T., 2020. "Crossover transitions in a bus–car mixed-traffic cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
    • Handle: RePEc:eee:phsmap:v:557:y:2020:i:c:s0378437120304453
    DOI: 10.1016/j.physa.2020.124861
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    References listed on IDEAS

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    1. Nagai, Ryoichi & Nagatani, Takashi & Taniguchi, Naoki, 2005. "Traffic states and jamming transitions induced by a bus in two-lane traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 350(2), pages 548-562.
    2. Li, Xin & Li, Xingang & Xiao, Yao & Jia, Bin, 2016. "Modeling mechanical restriction differences between car and heavy truck in two-lane cellular automata traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 49-62.
    3. Dailisan, Damian N. & Lim, May T., 2016. "Agent-based modeling of lane discipline in heterogeneous traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 138-147.
    4. Carlos Gershenson & Luis A Pineda, 2009. "Why Does Public Transport Not Arrive on Time? The Pervasiveness of Equal Headway Instability," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-15, October.
    5. Nguyen-Phuoc, Duy Q. & Currie, Graham & De Gruyter, Chris & Kim, Inhi & Young, William, 2018. "Modelling the net traffic congestion impact of bus operations in Melbourne," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 1-12.
    6. Dailisan, Damian N. & Lim, May T., 2019. "Vehicular traffic modeling with greedy lane-changing and inordinate waiting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 715-723.
    7. Nagel, Kai & Herrmann, Hans J., 1993. "Deterministic models for traffic jams," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 199(2), pages 254-269.
    8. Combinido, Jay Samuel L. & Lim, May T., 2010. "Modeling U-turn traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3640-3647.
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    Cited by:

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