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Intelligent vehicle car-following model based on cyber physical system and its simulation under mixed traffic flow

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  • Li, Huamin
  • Jin, Shiyu

Abstract

In order to discuss and analyze the hot concept, vehicular CPS (Cyber Physical System), where CPS is an emerging and complex system that can obtain the physical status of vehicles and traffic environment, upload the information to cyber layer, and obtain better operating effect and performance level beyond the traditional transportation system, a novel intelligent vehicle car-following model based on CPS (IVCFM-CPS) is presented. Considering car following process, intelligent vehicles receive the recommended information that the previous and current traffic information and the vehicles’ states are analyzed and optimized in cyber layer, IVCFM-CPS is constructed and used to analyze intelligent vehicle car-following behavior under CPS environment, and the linear stability conditions through the comparison among different car-following models are also analyzed. Furthermore, to testify the theoretical conclusion, numerical simulations were conducted in MATLAB to analyze the impact of penetration rate of intelligent vehicles based on CPS on stability under mixed traffic flow. Results have illustrated the proposed IVCFM-CPS is capable of dealing with intelligent vehicle car-following behavior under CPS environment, and can provide novel insights into the complex and heterogeneous CPS.

Suggested Citation

  • Li, Huamin & Jin, Shiyu, 2024. "Intelligent vehicle car-following model based on cyber physical system and its simulation under mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
  • Handle: RePEc:eee:phsmap:v:634:y:2024:i:c:s0378437123010373
    DOI: 10.1016/j.physa.2023.129482
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    References listed on IDEAS

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    1. Gong, Siyuan & Du, Lili, 2018. "Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 25-61.
    2. Jin, Shuang & Sun, Di-Hua & Zhao, Min & Li, Yang & Chen, Jin, 2020. "Modeling and stability analysis of mixed traffic with conventional and connected automated vehicles from cyber physical perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    3. Gipps, P.G., 1981. "A behavioural car-following model for computer simulation," Transportation Research Part B: Methodological, Elsevier, vol. 15(2), pages 105-111, April.
    4. Wang, Xiao & Jiang, Rui & Li, Li & Lin, Yi-Lun & Wang, Fei-Yue, 2019. "Long memory is important: A test study on deep-learning based car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 786-795.
    5. G. F. Newell, 1961. "Nonlinear Effects in the Dynamics of Car Following," Operations Research, INFORMS, vol. 9(2), pages 209-229, April.
    6. Chen, Yingda & Kong, Dewen & Sun, Lishan & Zhang, Tong & Song, Yongchang, 2022. "Fundamental diagram and stability analysis for heterogeneous traffic flow considering human-driven vehicle driver’s acceptance of cooperative adaptive cruise control vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    7. Sharma, Anshuman & Zheng, Zuduo & Bhaskar, Ashish & Haque, Md. Mazharul, 2019. "Modelling car-following behaviour of connected vehicles with a focus on driver compliance," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 256-279.
    8. Zong, Fang & Wang, Meng & Tang, Jinjun & Zeng, Meng, 2022. "Modeling AVs & RVs’ car-following behavior by considering impacts of multiple surrounding vehicles and driving characteristics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    Full references (including those not matched with items on IDEAS)

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