Volume 24 Issue 6
Dec.  2024
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DONG Chang-yin, XIONG Zhuo-zhi, LI Ni, WANG Feng, ZHANG Jia-rui, WANG Hao. Mixed platoon control method considering traffic oscillation mitigation[J]. Journal of Traffic and Transportation Engineering, 2024, 24(6): 212-229. doi: 10.19818/j.cnki.1671-1637.2024.06.015
Citation: DONG Chang-yin, XIONG Zhuo-zhi, LI Ni, WANG Feng, ZHANG Jia-rui, WANG Hao. Mixed platoon control method considering traffic oscillation mitigation[J]. Journal of Traffic and Transportation Engineering, 2024, 24(6): 212-229. doi: 10.19818/j.cnki.1671-1637.2024.06.015
shu

Mixed platoon control method considering traffic oscillation mitigation

doi: 10.19818/j.cnki.1671-1637.2024.06.015
  • 1.

    School of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China

  • 2.

    National Key Laboratory of Aircraft Configuration Design, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China

  • 3.

    Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, Jiangsu, China

  • 4.

    Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, Jiangsu, China

  • 5.

    School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China

Funds:

National Key Research and Development Program of China 2022ZD0115600

National Natural Science Foundation of China 52302405

National Natural Science Foundation of China 52072067

National Natural Science Foundation of China 52372398

Natural Science Foundation of Jiangsu Province BK20210249

Postdoctoral Fellowship Program of CPSF GZC20230431

More Information
  • Author Bio:

    DONG Chang-yin(1991-), male, associate professor, PhD, dongcy@nwpu.edu.cn

  • Corresponding author: WANG Hao(1980-), male, professor, PhD, haowang@seu.edu.cn
  • Received Date: 2024-05-27
  • Publish Date: 2024-12-25
    Abstract
  • An information interaction form between human-driven vehicle (HDV) and connected automated vehicle (CAV) in a mixed platoon was established, based on which a feedback feedforward controller was designed for CAVs. Besides, an optimization method targeting the control parameters of CAVs was proposed to mitigate traffic oscillations. A circular closed system with a mixed platoon was formulated, where CAVs can transfer information through vehicle-to-vehicle communication spaced by HDVs. Based on the modelling of HDV car-following behaviors and their uncertainty, a third-order vehicle dynamics model, constant time gap policy, and feedback feedforward controller were used to design the control strategy for CAVs. A new generation of simulation data and fast Fourier transform were used to analyze the predominant frequency range of speed fluctuation of HDVs, and an index of the suppression degree of CAVs to speed fluctuation was constructed. By considering the uncertainty of HDV behaviors, an objective function was constructed for this frequency range to simultaneously optimize the string stability and suppress speed variation. Based on the real vehicle trajectory data, the control method was evaluated with simulations from multiple dimensions under the scenarios of different market penetration rates and spatial distributions of CAVs. Analysis results show that compared with reference strategies, the average acceleration variation of the individual CAV reduces by 10.9%-14.1%, and the maximum speed variation reduces by 7.8%-10.8%. The deceleration rate to avoid the crash reduces by 1.8%-21.6%, and the fuel consumption reduces by 2.9%-3.9%. For the whole mixed platoon, the comfort, stability, safety, and energy saving all improve when CAVs are uniformly distributed. The improvement effect is significant under the medium market penetration rate of 30%-60%. So, the control method can effectively suppress speed variation and substantially improve the ability of CAVs to mitigate traffic oscillations.

     

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    • References(31)
  • [1]
    HAN Yu, GUO Yan-yong, ZHANG Le, et al. An optimal variable speed limit control approach against freeway jam waves[J]. China Journal of Highway and Transport, 2022, 35(1): 151-158. (in Chinese)
    [2]
    YU Hao, LIU Pan, BAI Lu, et al. Dynamic traffic signal control strategies considering traffic incidents[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 182-190. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2019.06.017
    [3]
    SHARMA A, ZHENG Zu-duo, KIM J, et al. Assessing traffic disturbance, efficiency, and safety of the mixed traffic flow of connected vehicles and traditional vehicles by considering human factors[J]. Transportation Research Part C: Emerging Technologies, 2021, 124: 102934. doi: 10.1016/j.trc.2020.102934
    [4]
    ZHENG Yang, WANG Jia-wei, LI Ke-qiang. Smoothing traffic flow via control of autonomous vehicles[J]. IEEE Internet of Things Journal, 2020, 7(5): 3882-3896. doi: 10.1109/JIOT.2020.2966506
    [5]
    STERN R E, CUI Shu-mo, DELLE MONACHE M L, et al. Dissipation of stop-and-go waves via control of autonomous vehicles: field experiments[J]. Transportation Research Part C: Emerging Technologies, 2018, 89: 205-221. doi: 10.1016/j.trc.2018.02.005
    [6]
    ZHANG Jun-ying, WANG Yong. Effects of communication and sensing delays on stability of vehicular platoons[J]. China Journal of Highway and Transport, 2023, 36(4): 202-220. (in Chinese)
    [7]
    JIANG Li-ming, XIE Yuan-chang, EVANS N G, et al. Reinforcement learning based cooperative longitudinal control for reducing traffic oscillations and improving platoon stability[J]. Transportation Research Part C: Emerging Technologies, 2022, 141: 103744. doi: 10.1016/j.trc.2022.103744
    [8]
    WANG Shi-an, SHANG Ming-feng, LEVIN M W, et al. A general approach to smoothing nonlinear mixed traffic via control of autonomous vehicles[J]. Transportation Research Part C: Emerging Technologies, 2023, 146: 103967. doi: 10.1016/j.trc.2022.103967
    [9]
    ZHU Xu, ZHANG Ze-hua, YAN Mao-de. Stability of PID control system for vehicle platoon with input delay and communication delay[J]. Journal of Traffic and Transportation Engineering, 2022, 22(3): 184-198. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2022.03.015
    [10]
    CHEN Chao-yi, WANG Jia-wei, XU Qing, et al. Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control[J]. Transportation Research Part C: Emerging Technologies, 2021, 127: 103138. doi: 10.1016/j.trc.2021.103138
    [11]
    DONG Chang-yin, WANG Hao, LI Ye, et al. Route control strategies for autonomous vehicles exiting to off-ramps[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(7): 3104-3116. doi: 10.1109/TITS.2019.2925319
    [12]
    OROSZ G. Connected cruise control: modelling, delay effects, and nonlinear behaviour[J]. Vehicle System Dynamics, 2016, 54(8): 1147-1176. doi: 10.1080/00423114.2016.1193209
    [13]
    FENG Shuo, SONG Zi-you, LI Zhao-jian, et al. Robust platoon control in mixed traffic flow based on tube model predictive control[J]. IEEE Transactions on Intelligent Vehicles, 2021, 6(4): 711-722. doi: 10.1109/TIV.2021.3060626
    [14]
    BIAN You-gang, YANG Yi-lin, HU Man-jiang, et al. Study on the stability of mixed vehicular platoon based on bidirectional multiple-vehicle following topologies[J]. China Journal of Highway and Transport, 2022, 35(3): 66-77. (in Chinese) doi: 10.3969/j.issn.1001-7372.2022.03.007
    [15]
    ZHOU Yang, AHN S, WANG Meng, et al. Stabilizing mixed vehicular platoons with connected automated vehicles: an H-infinity approach[J]. Transportation Research Part B: Methodological, 2020, 132: 152-170. doi: 10.1016/j.trb.2019.06.005
    [16]
    WANG Zi-ran, BIAN You-gang, SHLADOVER S E, et al. A survey on cooperative longitudinal motion control of multiple connected and automated vehicles[J]. IEEE Intelligent Transportation Systems Magazine, 2020, 12(1): 4-24. doi: 10.1109/MITS.2019.2953562
    [17]
    QIN Yan-yan, WANG Hang. Stabilizing mixed cooperative adaptive cruise control traffic flow to balance capacity using car-following model[J]. Journal of Intelligent Transportation Systems, 2021, DOI: 10.1080/15472450.2021.1985490.
    [18]
    CHEN Zheng, PARK B B. Cooperative adaptive cruise control with unconnected vehicle in the loop[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(5): 4176-4186. doi: 10.1109/TITS.2020.3041840
    [19]
    WANG Jia-wei, ZHENG Yang, CHEN Chao-yi, et al. Leading cruise control in mixed traffic flow: system modeling, controllability, and string stability[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8): 12861-12876. doi: 10.1109/TITS.2021.3118021
    [20]
    GE J I, OROSZ G. Connected cruise control among human-driven vehicles: experiment-based parameter estimation and optimal control design[J]. Transportation Research Part C: Emerging Technologies, 2018, 95: 445-459. doi: 10.1016/j.trc.2018.07.021
    [21]
    LEE D, LEE S, CHEN Zheng, et al. Design and field evaluation of cooperative adaptive cruise control with unconnected vehicle in the loop[J]. Transportation Research Part C: Emerging Technologies, 2021, 132: 103364. doi: 10.1016/j.trc.2021.103364
    [22]
    LI Yong-chun, SHAN Chuan-ping. Impacts of cooperative adaptive cruise control links on driving comfort under vehicle-to-vehicle communication[J]. Journal of Advanced Transportation, 2022, 2022: 1-6.
    [23]
    GE J I, AVEDISOV S S, HE C R, et al. Experimental validation of connected automated vehicle design among human-driven vehicles[J]. Transportation Research Part C: Emerging Technologies, 2018, 91: 335-352.
    [24]
    GE J I, OROSZ G. Optimal control of connected vehicle systems with communication delay and driver reaction time[J]. IEEE Transactions on Intelligent Transportation Systems, 2017, 18(8): 2056-2070.
    [25]
    LI S E, ZHENG Yang, LI Ke-qiang, et al. Dynamical modeling and distributed control of connected and automated vehicles: challenges and opportunities[J]. IEEE Intelligent Transportation Systems Magazine, 2017, 9(3): 46-58.
    [26]
    NAUS G J L, VUGTS R P A, PLOEG J, et al. String-stable CACC design and experimental validation: a frequency-domain approach[J]. IEEE Transactions on Vehicular Technology, 2010, 59(9): 4268-4279.
    [27]
    PUNZO V, BORZACCHIELLO M T, CIUFFO B. On the assessment of vehicle trajectory data accuracy and application to the next generation simulation (NGSIM) program data[J]. Transportation Research Part C: Emerging Technologies, 2011, 19(6): 1243-1262.
    [28]
    MONTANINO M, PUNZO V. Trajectory data reconstruction and simulation-based validation against macroscopic traffic patterns[J]. Transportation Research Part B: Methodological, 2015, 80: 82-106.
    [29]
    FENG Shuo, ZHANG Yi, LI S E, et al. String stability for vehicular platoon control: definitions and analysis methods[J]. Annual Reviews in Control, 2019, 47: 81-97.
    [30]
    SUN Jie, ZHENG Zu-duo, SUN Jian. The relationship between car following string instability and traffic oscillations in finite-sized platoons and its use in easing congestion via connected and automated vehicles with IDM based controller[J]. Transportation Research Part B: Methodological, 2020, 142: 58-83.
    [31]
    LI Ke-qiang, WANG Jia-wei, ZHENG Yang. Cooperative formation of autonomous vehicles in mixed traffic flow: beyond platooning[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(9): 15951-15966.
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