考虑换道压力增益的高速公路分流区跟驰模型研究
作者单位:

哈尔滨工业大学

基金项目:

黑龙江省自然科学基金


Research on Car-Following Model of Freeway Diversion Area Considering Pressure Gain of Lane Change
Author:
Affiliation:

Harbin Institute of Technology

Fund Project:

LH2019E052

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [21]
  • | |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    为了更精准地描述高速公路分流区内车辆的跟驰行为,本文基于FVDM模型引入换道压力增益因子构建考虑换道压力和换道行为的跟驰模型。首先,对改进后的模型进行线性稳定性分析发现,随着换道增益因子的增大,高速公路分流区的稳定区域变小。其次,基于NGSIM数据集中提取的92辆换道车辆的轨迹数据标定改进的跟驰模型,并通过仿真分析表明,改进后的模型能够更好地模拟车辆的速度和位置,与FVDM模型相比,所构建的P-FVDM模型的仿真误差降低了16%;与LP-FVDM模型相比,所构建的PLP-FVDM模型的仿真误差降低了12%。最后,利用改进的跟驰模型仿真分析分流区内的交通震荡现象,结果表明,车辆的换道行为能够引发交通震荡,在较高的行驶速度下交通震荡的振幅会衰减,当行驶速度较低时,速度标准差沿车队向上游呈现凹增长趋势;换道位置离出口匝道越近所引发的交通震荡越严重;换道持续时间越短越有利于抑制交通震荡。

    Abstract:

    In order to more accurately describe the following behavior of vehicles in the freeway shunt zone, this paper introduces the lane change pressure gain factor based on the FVDM model to construct a following model that considers lane change pressure and lane change behavior. First, the linear stability analysis of the improved model reveals that the stability region of the freeway shunt area becomes smaller with the increase of the lane change gain factor. Second, the improved model is calibrated based on the trajectory data of 92 lane-changing vehicles extracted from the NGSIM dataset, and the simulation analysis shows that the improved model can better simulate the speed and position of the vehicles, and the simulation error of the constructed P-FVDM model is reduced by 16% compared with that of the FVDM model; the simulation error of the constructed PLP-FVDM model is reduced by 16% compared with that of the LP-FVDM model; and the simulation error of the constructed PLP-FVDM model is reduced by 16% compared with that of the LP-FVDM model. model reduces the simulation error by 12% compared to the LP-FVDM model. Finally, the improved FVDM model is used to simulate and analyze the traffic oscillation phenomenon in the diversion area, and the results show that the traffic oscillation can be triggered by the lane changing behavior of vehicles, and the amplitude of the traffic oscillation will be attenuated at higher driving speeds, and the standard deviation of the speeds will show a concave growth trend along the convoy to the upstream when the driving speeds are lower; the closer the position of the lane changing to the exit ramp is, the more serious traffic oscillation is triggered; and the shorter the duration of the lane changing is, the better it is for suppressing the traffic oscillation. The shorter the duration of lane change is, the more favorable it is to suppress the traffic oscillation.

    参考文献
    [1] EDIE, L C. Car-Following and Steady-State Theory for Non-Congested Traffic[J]. Operations Research, 1961, 9(1): 66–76.
    [2] YEO H, SKABARDONIS A. Understanding Stop-and-Go Traffic in View of Asymmetric Traffic Theory[J]. Transportation & Traffic Theory Golden Jubilee, 2009: 99-115.
    [3] KERNER, B S, REHBORN H. Experimental Features and Characteristics of Traffic Jams[J]. Physical Review E Statistical Physics Plasmas Fluids & Related Interdisciplinary Topics, 53(2):R1297-R1300.
    [4] AHN S, CASSIDY M J. Freeway Traffic Oscillations and Vehicle Lane-Change Maneuvers[J]. Transportation & Traffic Theory Papers Selected for Presentation at Isttt, 2007.
    [5] MORIDPOUR S, ROSE G, SARVI M. Modelling the Heavy Vehicle Drivers' Lane Changing Decision under Heavy Traffic Conditions[J]. Road & Transport Research A Journal of Australian & New Zealand Research & Practice, 2009, 18(4): 49-57.
    [6] 张颖达, 邵春福, 李慧轩, 等. 基于NGSIM轨迹数据的换道行为微观特性分析[J]. 交通信息与安全, 2015, 33(06): 19-24+32.hang Yinda, ShaoChunfu, LiHuixuan, et al. Micro-characterization of lane changing behavior based on NGSIM trajectory data[J]. Transportation Information and Safety, 2015, 33(06): 19-24+32.
    [7] SUSILAWATI S, TAN K Y, SAMAD K, et al. The Study of Location Specific Lane Change Impacts on Traffic Delay Using Extended Cell Transmission Model[C]// International Conference on Civil, Offshore and Environmental Engineering 2018. EDP Sciences, 2018.
    [8] LI X, CUI J, AN S, et al. Stop-and-Go Traffic Analysis: Theoretical Properties, Environmental Impacts and Oscillation Mitigation[J]. Transportation Research Part B, 2014, 70(1): 319-339.
    [9] 郑淑欣, 李振龙, 赵晓华. 雾天高速公路换道行为特性研究[J]. 交通信息与安全, 2020, 38(01): 35-42+51.heng Shu-xin, Li Zhen-long, Zhao Xiao-hua. Research on the Characteristics of Foggy Freeway Lane Change Behavior[J]. Traffic Information and Safety, 2020, 38(01): 35-42+51.
    [10] Zheng S T , Jiang R , Tian, J F , et al. Empirical and experimental study on the growth pattern of traffic oscillations upstream of fixed bottleneck and model test[J]. Transportation Research Part C-Emerging Technologies, Volume 140, 2022.
    [11] TOLEDO T, ZOHAR D. Modeling Duration of Lane Changes[J]. Transportation Research Record: Journal of the Transportation Research Board, 2007, 1999(1): 71-78.
    [12] JIANG R, HU M B, ZHANG H M, et al. On Some Experimental Features of Car-following Behavior and How to Model Them[J]. Transportation Research Part B: Methodological, 2015, 80: 338-354.
    [13] JIANG R, JIN C J, ZHANG H M, et al. Experimental and Empirical Investigations of Traffic Flow Instability[J]. Transportation Research Procedia, 2017, 23: 157-173.
    [14] 贺玉龙, 刘磊, 迟佳欣. 高速公路车辆换道行为风险研究[J]. 重庆交通大学学报(自然科学版), 2021, 40(04): 26-33.e Yu-long, Liu Lei, Chi Jiaxin. Research on the Risk of Freeway Vehicle Lane Change Behavior[J]. Journal of Chongqing Jiaotong University (Natural Science Edition), 2021, 40(04): 26-33.
    [15] MAUCH M, CASSIDY M J. Freeway Traffic Oscillations: Observations and Predictions[J]. University of California Transportation Center Working Papers, 2004: 653--674.
    [16] 张娟. 城市快速路瓶颈交通震荡特性研究[J]. 交通信息与安全, 2015, 33(05): 43-48.HANG Juan. Study on traffic oscillation characteristics of urban expressway bottlenecks [J]. Traffic Information and Safety, 2015, 33(05): 43-48.
    [17] 黄永现. 交通震荡演化特性的实验研究和建模仿真[D]. 中国科学技术大学, 2019.UANG Yong-xian. Experimental study and modeling simulation of the evolutionary characteristics of traffic oscillations [D]. University of Science and Technology of China, 2019.
    [18] Li Q, Li X, Yao H. A Study of Relationships in Traffic Oscillation Features Based on Field Experiments[J]. Transportation Research Part A: Policy and Practice, 2020, 141: 339-355.
    [19] 刘有军, 曹珊. 基于元胞自动机的强制换道模型研究[J]. 交通信息与安全, 2009, 27(03): 78-80.IU You-jun, CAO Shan. Research on forced lane change model based on metacellular automata[J]. Traffic Information and Safety, 2009, 27(03): 78-80.
    [20] JIANG R,WU QS,ZHU Z J. Full Velocity Difference Model for a Car-Following Theory [J]. Physical Review E Statistical Nonlinear and Soft Matter Physics, 2001(64): 1-2.
    [21] 王玄金. 考虑前车换道过程的跟驰模型研究[D]. 重庆大学,2017.ANG Xuan-jin. Research on the follow-the-road model considering the process of lane change of the front vehicle [D]. Chongqing University, 2017.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文
分享
文章指标
  • 点击次数:136
  • 下载次数: 0
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 收稿日期:2023-09-22
  • 最后修改日期:2023-12-31
  • 录用日期:2024-01-16
文章二维码