Volume 42 Issue 6
Dec.  2024
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FU Fengjie, LI Bolin, JIN Sheng. Trajectory Optimization for Connected Automated Vehicles Borrowing Urban Dedicated Bus Lane[J]. Journal of Transport Information and Safety, 2024, 42(6): 103-111. doi: 10.3963/j.jssn.1674-4861.2024.06.011
Citation: FU Fengjie, LI Bolin, JIN Sheng. Trajectory Optimization for Connected Automated Vehicles Borrowing Urban Dedicated Bus Lane[J]. Journal of Transport Information and Safety, 2024, 42(6): 103-111. doi: 10.3963/j.jssn.1674-4861.2024.06.011

Trajectory Optimization for Connected Automated Vehicles Borrowing Urban Dedicated Bus Lane

doi: 10.3963/j.jssn.1674-4861.2024.06.011
  • Received Date: 2023-12-05
    Available Online: 2025-03-08
  • Connected and automated vehicles (CAV) can reduce the mutual interference with human driving vehicles (HDV), thereby enhancing the utilization efficiency of bus lanes, which is one of the important ways to improve the operation efficiency of CAV in the current mixed traffic flow environment. The trajectory optimization model of CAV utilizing bus lanes is proposed, taking into account the constraints of bus lane trajectory, the physical characteristics of the bus lane, and the traffic signal timing scheme. This model incorporates the overtaking behavior of CAVs at harbor bus stops.The model is decomposed into sub-models and meshed in time and space to elucidate the specific process of model solution. The solution method is established based on a greedy algorithm-like algorithm, and the model is solved using MATLAB and yalmip solving tools. To illustrate the efficacy of the proposed model, numerical simulations are conducted for the bus lane on Moganshan Road in Hangzhouas a case study.These simulations analyzed the impact of various factors, including harbor-style bus stop, bus stop time, and traffic signal timing parameters on the model results, and further verified the effectiveness of the model. The results show that the bus stop time will significantly affect the CAV travel speed, and with the increase of bus stopping time, the CAV travel speed will increase first and then decrease. The results show that a collaborative optimization of bus stop time and traffic signal timing can enhance the operational efficiency of CAV. Furthermore, the presence of harbor-style bus stops has been found to augment the CAV operation speed by 10% when compared to the absence of such infrastructure.

     

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  • [1]
    YE L, YAMAMOTO T. Impact of dedicated lanes for connected and autonomous vehicle on traffic flow throughput[J]. Physica A: Statistical Mechanics and its Applications, 2018. 512: 588-597. doi: 10.1016/j.physa.2018.08.083
    [2]
    DE ALMEIDA CORREIA G H, Menendez M. Automated and connected vehicles: effects on traffic, mobility and urban design[J]. International Journal of Transportation Science and Technology, 2017, 6 (1): 3-4.
    [3]
    崔冰艳, 李贺, 崔哲, 等. 智能网联汽车换道决策安全性研究综述[J]. 交通信息与安全, 2023, 41 (4): 1-13. doi: 10.3963/j.jssn.1674-4861.2023.04.001

    CUI B Y, LI H, CUI Z, et al. A review of safety studies on lane change decision-makings for connected automated vehicles[J]. Journal of Transport Information and Safety, 2023, 41 (4): 1-13. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2023.04.001
    [4]
    ZHOU J, ZHU F. Modeling the fundamental diagram of mixed human-driven and connected automated vehicles[J]. Transportation Research Part C: Emerging Technologies, 2020, 115: 102614. doi: 10.1016/j.trc.2020.102614
    [5]
    程泽阳, 孙凌霞, 丁恒, 等. 车路协同环境下道路交通安全研究进展[J]. 交通运输工程与信息学报, 2024, 85 (3): 14-33.

    CHENG Z Y, SUN L X, DING H, et al. Research progress of road traffic safety in cooperative vehicle infrastructure environment[J]. Journal of Transportation Engineering and Information, 2024, 85 (3): 14-33. (in Chinese)
    [6]
    李斌, 马静, 徐学才, 等. 基于车辆轨迹的高速公路异常事件自动检测算法[J]. 交通信息与安全, 2023, 41 (3): 23-29. doi: 10.3963/j.jssn.1674-4861.2023.03.003

    LI B, MA J, XU X C, et al. An automatic freeway incident detection algorithm using vehicle trajectories[J]. Journal of Transport Information and Safety, 2023, 41(3): 23-29. (in Chinese) doi: 10.3963/j.jssn.1674-4861.2023.03.003
    [7]
    NHTSA. Preliminary statement of policy concerning automated vehicles[Z]. Washington, D.C. NHTSA, 2013.
    [8]
    YANG K, YAN Z, CHEN D, et al. Convolutional neural network-based intention forecasting and lane change path predicting of the human driver[C]. International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Anaheim, Canada: ASME, 2019.
    [9]
    张迎亚. 基于隐马尔可夫模型的车辆轨迹预测算法的研究[D]. 南京: 南京邮电大学, 2017.

    ZHANG Y Y. Reasearch on the algorithm of vehicle trajectory prediction based on HMM[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2017. (in Chinese)
    [10]
    吕维. 基于深度增强学习的智能车安全并道决策研究[D]. 成都: 电子科技大学, 2019.

    LYU W. Decision-making research on safe lane change of intelligent vehicle based on deep reinforcement learning[D]. Chengdu: University of Electronic Science and Technology of China, 2019. (in Chinese)
    [11]
    吴红兰, 胡德富, 郭旭周. 基于Informer的车辆多意图运动轨迹预测[J]. 交通运输工程与信息学报, 2024, 85(3): 68-79.

    WU H L, HU D F, GUO X Z, Vehicle multi-intention motion trajectory prediction based on Informer[J]. Journal of Transportation Engineering and Information, 2024, 85 (3): 68-79.
    [12]
    MOHAJERPOOR R, RAMEZANI M. Mixed flow of autonomous and human-driven vehicles: analytical headway modeling and optimal lane management[J]. Transportation Research Part C: Emerging Technologies, 2019, 109: 194-210. doi: 10.1016/j.trc.2019.10.009
    [13]
    CHEN Z, HE F, ZHANG L, et al. Optimal deployment of autonomous vehicle lanes with endogenous market penetration[J]. Transportation Research Part C: Emerging Technologies, 2016, 72: 143-156. doi: 10.1016/j.trc.2016.09.013
    [14]
    BANKS V A, PLANT K L, STANTON N A. Driver error or designer error using the perceptual cycle model to explore the circumstances surrounding the fatal Tesla crash on 7th May 2016[J]. Safety Science, 2018, 108: 278-285. doi: 10.1016/j.ssci.2017.12.023
    [15]
    LAWLESS W. Toward a physics of interdependence for autonomous human-machine systems: the case of the uber fatal accident, 2018[J]. Frontiers in Physics, 2022, 10: 879171. doi: 10.3389/fphy.2022.879171
    [16]
    CONCEIÇÃO L, CORREIA G, TAVARES J P. The deployment of automated vehicles in urban transport systems: a methodology to design dedicated zones[J]. Transportation Research Procedia, 2017, 27: 230-237. doi: 10.1016/j.trpro.2017.12.025
    [17]
    IVANCHEV J, KNOLL A, ZEHE D, et al. Potentials and implications of dedicated highway lanes for autonomous vehicles[D]. Ithaca: Cornell University, 2017.
    [18]
    VANDER LAAN Z, SADABADI K F. Operational performance of a congested corridor with lanes dedicated to autonomous vehicle traffic[J]. International Journal of Transportation Science and Technology, 2017, 6 (1): 42-52. doi: 10.1016/j.ijtst.2017.05.006
    [19]
    TALEBPOUR A, MAHMASSANI H S, ELFAR A. Investigating the effects of reserved lanes for autonomous vehicles on congestion and travel time reliability[J]. Transportation Research Record, 2017, 2622 (1): 1-12. doi: 10.3141/2622-01
    [20]
    WIRASINGHE S C, et al. Bus rapid transit-a review[J]. International Journal of Urban Sciences, 2013, 17 (1): 1-31. doi: 10.1080/12265934.2013.777514
    [21]
    HOONSIRI C, CHIARAKORN S, KIATTIKOMOL V. Using combined bus rapid transit and buses in a dedicated bus lane to enhance urban transportation sustainability[J]. Sustainability, 2021, 13 (6): 3052. doi: 10.3390/su13063052
    [22]
    HE S, DING F, LU C, et al. Impact of connected and autonomous vehicle dedicated lane on the freeway traffic efficiency[J]. European Transport Research Review. 2022, 14(1): 1-14. doi: 10.1186/s12544-021-00517-y
    [23]
    陆化普, 孙煦, 吴娟. 公交专用道优化设计的双层规划模型[J]. 中国公路学报, 2015, 28 (2): 87-94.

    LU H P, SUN X, WU J, Bi-level programming model for optimization design of exclusive bus lane[J]. China Journal of Highway and Transport, 2015, 28 (2): 87-94. (in Chinese)
    [24]
    徐志刚, 李金龙, 赵祥模, 等. 智能公路发展现状与关键技术[J]. 中国公路学报, 2019, 32 (8): 1-24.

    XU Z G, LI J L, ZHAO X M, et al. Development status and key technologies of intelligent highways[J]. China Journal of Highway and Transport, 2019, 32 (8): 1-24. (in Chinese)
    [25]
    EICHLER M, DAGANZO C F. Bus lanes with intermittent priority: strategy formulae and an evaluation[J]. Transportation Research Part B: Methodological, 2006, 40(9): 731-744. doi: 10.1016/j.trb.2005.10.001
    [26]
    CHEN X, LIN X, HE F, et al. Modeling and control of automated vehicle access on dedicated bus rapid transit lanes[J]. Transportation Research Part C: Emerging Technologies, 2020, 120: 102795.
    [27]
    LIN Y, ZHANG N, DONG H. Capability of intermittent bus lane utilization for regular vehicles[J]. Journal of Advanced Transportation, 2022, 2022: 1-17.
    [28]
    BAYRAK M, GULER S I. Optimizing bus lane placement on networks while accounting for queue spillbacks[C]. 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, USA: IEEE, 2018.
    [29]
    LI J Q, SONG M K, MENG L, et al. Planning for bus rapid transit in single dedicated bus lane[J]. Journal of the Transportation Research Board, 2009, 2111 (1): 76-82.
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