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Vehicular traffic modeling with greedy lane-changing and inordinate waiting

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

Abstract

Lane changing and vehicular slowdowns are known to impact traffic flow. Using a modified Nagel–Schreckenberg cellular automata model for two vehicle types: blocking (e.g. cars) and non-blocking (e.g. motorcycles), we determined the thresholds at which the interplay of lane changing, random and non-random slowdowns strongly impact vehicle speeds. Lane changing improves speed with diminishing returns as vehicles opt to change lanes. At the same time, lane changing is detrimental to the overall speed when lane straddling occurs. Increasing random slowdowns beyond a critical value (in the case of motorcycles, slowdown values of pslow≈[0.2,0.3,0.4] for densities ρ=[0.20,0.15,0.10] respectively) can force crossover from free flowing traffic into a state where interactions between vehicles reduce the average speed.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:521:y:2019:i:c:p:715-723
    DOI: 10.1016/j.physa.2019.01.107
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    References listed on IDEAS

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    Cited by:

    1. Kou, Yukang & Ma, Changxi, 2023. "Dual-objective intelligent vehicle lane changing trajectory planning based on polynomial optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 617(C).
    2. 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).
    3. Kong, Dewen & Sun, Lishan & Li, Jia & Xu, Yan, 2021. "Modeling cars and trucks in the heterogeneous traffic based on car–truck combination effect using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).

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