自动驾驶混合流和交织区长度影响下的交织区交通特性分析
An Analysis on Traffic Characteristics of Weaving Segment Considering Mixed Autonomous Flow and Length of Weaving Segment
DOI: 10.12677/ojtt.2025.145059, PDF,    科研立项经费支持
作者: 康 楠*, 王 磊, 马世成, 罗文婷：南京工业大学交通运输工程学院，江苏 南京
关键词: 交织区；交通特性；自动驾驶混合流；交织区长度；Weaving Segment； Traffic Characteristics； Mixed Autonomous Flow； Length of Weaving Segment
摘要: 交织区是路段的重要组成部分。本文通过VISSIM交通仿真软件分析A型交织区在自动驾驶混合流和交织区长度影响下的交织区交通特性。结果显示：在过饱和条件下，首先交织车道和非交织车道的通行能力和密度随AV渗透率的增加而提升，但是速度随之下降，并且速度的下降导致了延误的升高；其次，交织车道的速度虽然随交织区长度的增加而增加，但是并不足以弥补过饱和需求带来的对延误的负面效果，结果导致过饱和状态下延误随交织区长度的增加有小幅增长；同时，非交织区车道的通行能力和速度没有随交织区长度的增加产生明显的波动。同样交织区长度的情况下，AV渗透率越高交织区通行能力越高，自动驾驶车辆的应用能够有助于改善由于地理环境条件不足带来的设计问题。
Abstract: Weaving segment is an important part of roadway section. In this paper, the traffic characteristics of A-type weaving segment are analyzed considering mixed autonomous flow and the length of weaving segment through applying microscopic simulation VISSIM. It is found that firstly under the oversaturated situation, the capacity and density of weaving lanes and non-weaving lanes are increased with the increase of AV% while the speed decreased with it. The decrease of speed caused the increase of delay. Secondly, the speed of interweaving lanes is increased with the increase of the length of weaving segment, but the increase is not enough to compensate for the increase of delay caused by the over-saturated demand. As a result, the delay is slightly increased with the increase of the length of weaving segment. Additionally, the capacity and speed of the non-weaving lane are not significantly influenced by the length of weaving segment. For the future, since AV% shows the positive results on the capacity of weaving segment under the condition of the same length of weaving segment, it is expected that the application of AV may help improve the design problems due to the insufficient geographic conditions.
文章引用：康楠, 王磊, 马世成, 罗文婷. 自动驾驶混合流和交织区长度影响下的交织区交通特性分析[J]. 交通技术, 2025, 14(5): 597-606. https://doi.org/10.12677/ojtt.2025.145059

参考文献

[1] Transportation Research Board (2010) Highway Capacity Manual. TRB, National Research Council.
[2] Roess, R.P. and Ulerio, J.M. (2009) Capacity of Freeway Weaving Segments. Transportation Research Record: Journal of the Transportation Research Board, 2130, 34-41. [Google Scholar] [CrossRef] 
[3] 冯星宇, 周晨静, 荣建, 等. 快速路交织区通行能力分析方法对比研究[J]. 道路交通与安全, 2015, 15(6): 43-49.
[4] 周晨静, 荣建, 冯星宇. 2010 HCM交织区通行能力分析方法适用性研究[J]. 公路交通科技, 2015, 32(4): 118-123.
[5] 马晓旦, 安旭. 基于容量估算模型的交织区通行能力估计[J]. 物流科技, 2019, 42(2): 86-89.
[6] 孙剑, 胡家琦, 孙杰. 城市快速路交织区通行能力估计模型[J]. 中国公路学报, 2016, 29(4): 114-122.
[7] Tilg, G., Yang, K. and Menendez, M. (2018) Evaluating the Effects of Automated Vehicle Technology on the Capacity of Freeway Weaving Sections. Transportation Research Part C: Emerging Technologies, 96, 3-21. [Google Scholar] [CrossRef] 
[8] 赵靖, 白玉, 杨晓光. 基于回归分析的交织区通行能力模型[J]. 城市交通, 2009, 7(5): 85-90.
[9] 包家烁. 城市快速路交织区通行能力分析与改善策略研究[J]. 湖南城市学院学报(自然科学版), 2022, 31(3): 45-50.
[10] Yao, Z., Xu, T., Jiang, Y. and Hu, R. (2021) Linear Stability Analysis of Heterogeneous Traffic Flow Considering Degradations of Connected Automated Vehicles and Reaction Time. Physica A: Statistical Mechanics and Its Applications, 561, Article ID: 125218. [Google Scholar] [CrossRef] 
[11] 孙剑, 李克平, 杨晓光. 拥挤交通流交织区车道变换行为仿真[J]. 系统仿真学报, 2009, 21(13): 3970-3974.
[12] 彭博, 王玉婷, 谢济铭, 等. 城市干线短交织区元胞自动机多级换道决策模型[J]. 交通运输系统工程与信息, 2020, 20(4): 41-48.
[13] 李霞, 李明烨, 张孝铭, 等. 人机混驾交通流交织区换道模型切换控制策略[J]. 交通信息与安全, 2022, 40(6): 95-102.
[14] Amini, E., Omidvar, A. and Elefteriadou, L. (2021) Optimizing Operations at Freeway Weaves with Connected and Automated Vehicles. Transportation Research Part C: Emerging Technologies, 126, Article ID: 103072. [Google Scholar] [CrossRef] 
[15] 张卫华, 刘嘉茗, 解立鹏, 等. 混合环境快速路交织区交通流特性分析[J]. 东南大学学报(自然科学版), 2023, 53(1): 156-164.
[16] Treiber, M., Hennecke, A. and Helbing, D. (2000) Congested Traffic States in Empirical Observations and Microscopic Simulations. Physical Review E, 62, 1805-1824. [Google Scholar] [CrossRef] [PubMed]
[17] Milanés, V. and Shladover, S.E. (2014) Modeling Cooperative and Autonomous Adaptive Cruise Control Dynamic Responses Using Experimental Data. Transportation Research Part C: Emerging Technologies, 48, 285-300. [Google Scholar] [CrossRef] 
[18] Rakha, H. and Zhang, Y. (2006) Analytical Procedures for Estimating Capacity of Freeway Weaving, Merge, and Diverge Sections. Journal of Transportation Engineering, 132, 618-628. [Google Scholar] [CrossRef] 

为你推荐