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Stability analysis of the mixed traffic flow of cars and trucks using heterogeneous optimal velocity car-following model

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  • Yang, Da
  • Jin, Peter (Jing)
  • Pu, Yun
  • Ran, Bin

Abstract

Real-world traffic flow usually contains a mixture of passenger vehicles (PV) and heavy vehicles (HV). In this paper, the four types of car–truck following combinations are considered: the car-following-car case, car-following-truck case, truck-following-car case and truck-following-truck case. The effect of different combinations on the stability of traffic flow is explored by converting the original Bando’s optimal velocity (OV) model to a heterogeneous form. A new linear stability analysis method that can derive the stability criterion of the heterogeneous traffic flow mixed by cars and trucks is introduced. Moreover, the effect of the proportions of the four car–truck following combinations on traffic flow is examined through the trajectory analysis. It concludes that the linear stability of the car–truck mixed traffic flow is determined more by the proportions of the different car–truck following scenarios, rather than the numbers of the cars and trucks. Moreover, cars and trucks can both stabilize and destabilize traffic flow depending on the density of the traffic flow and the parameters of the heterogeneous OV model.

Suggested Citation

  • Yang, Da & Jin, Peter (Jing) & Pu, Yun & Ran, Bin, 2014. "Stability analysis of the mixed traffic flow of cars and trucks using heterogeneous optimal velocity car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 371-383.
    • Handle: RePEc:eee:phsmap:v:395:y:2014:i:c:p:371-383
    DOI: 10.1016/j.physa.2013.10.017
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    References listed on IDEAS

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    Cited by:

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    4. Yang, Da & Qiu, Xiaoping & Yu, Dan & Sun, Ruoxiao & Pu, Yun, 2015. "A cellular automata model for car–truck heterogeneous traffic flow considering the car–truck following combination effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 62-72.
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    7. Junyan Han & Xiaoyuan Wang & Gang Wang, 2022. "Modeling the Car-Following Behavior with Consideration of Driver, Vehicle, and Environment Factors: A Historical Review," Sustainability, MDPI, vol. 14(13), pages 1-27, July.
    8. Ge, Hongxia & Lin, Lizhen & Cheng, Rongjun, 2023. "Modeling and stabilization control for heterogeneous traffic flow model considering cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 622(C).
    9. Montanino, Marcello & Punzo, Vincenzo, 2021. "On string stability of a mixed and heterogeneous traffic flow: A unifying modelling framework," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 133-154.
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