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A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect

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  • Hossain, Md. Anowar
  • Tanimoto, Jun

Abstract

In this study, we propose an information-sharing traffic flow model by considering multiple preceding cars and system time delay effect to reproduce a more likely flow field given the dissemination of intelligent transportation systems with wireless communication. The flow field would be robustly stable and efficient if the information on each vehicle’s dynamics could be shared without time delay. However, a realistic situation inevitably entails some time delay, resulting from mechanical and control systems. The proposed model is validated by the neutral stability condition through linear stability theory, thus confirming that the proposed model substantially increases the stability of a traffic flow field compared with the conventional full velocity difference model (optimal velocity model). The modified Korteweg–de Vries equation is derived and analyzed for nonlinear analysis. A numerical simulation is also conducted to justify the proposed model.

Suggested Citation

  • Hossain, Md. Anowar & Tanimoto, Jun, 2022. "A microscopic traffic flow model for sharing information from a vehicle to vehicle by considering system time delay effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    • Handle: RePEc:eee:phsmap:v:585:y:2022:i:c:s037843712100710x
    DOI: 10.1016/j.physa.2021.126437
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    Cited by:

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    2. Fu, Ding-Jun & Zhang, Cun-Bao & Liu, Jun & Li, Tao & Li, Qi-Lang, 2024. "Research of the left-turn vehicles lane-changing behaviors at signalized intersections with contraflow lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    3. Wang, Shutong & Zhu, Wen-Xing, 2022. "Modeling the heterogeneous traffic flow considering mean expected velocity field and effect of two-lane communication under connected environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
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    5. Qin, Yanyan & Liu, Mingxuan & Hao, Wei, 2024. "Energy-optimal car-following model for connected automated vehicles considering traffic flow stability," Energy, Elsevier, vol. 298(C).
    6. Peng, Guanghan & Wang, Wanlin & Tan, Huili, 2023. "Chaotic jam and phase transitions in heterogeneous lattice model integrating the delay characteristics difference with passing effect under autonomous and human-driven vehicles environment," Chaos, Solitons & Fractals, Elsevier, vol. 177(C).

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