[1]潘兵宏,李圳发,何勇海,等.单向三车道高速公路主线分流方式适应的交通量和分流比例[J].长安大学学报(自然科学版),2026,46(01):153-174.[doi:10.19721/j.cnki.1671-8879.2026.01.012]
 PAN Bing-hong,LI Zhen-fa,HE Yong-hai,et al.Traffic volumes and diversion ratios adapted to mainline diversion mode of one-way three-lane highway[J].Journal of Chang’an University (Natural Science Edition),2026,46(01):153-174.[doi:10.19721/j.cnki.1671-8879.2026.01.012]
点击复制

单向三车道高速公路主线分流方式适应的交通量和分流比例()
分享到:

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
第46卷
期数:
2026年01期
页码:
153-174
栏目:
交通工程
出版日期:
2026-01-31

文章信息/Info

Title:
Traffic volumes and diversion ratios adapted to mainline diversion mode of one-way three-lane highway
文章编号:
1671-8879(2026)01-0153-22
作者:
潘兵宏1李圳发1何勇海2焦彦利3
(1. 长安大学 公路学院,陕西 西安 710064; 2. 河北交通投资集团有限公司 燕赵现代交通实验室,河北 石家庄 050000; 3. 河北省交通规划设计研究院有限公司,河北 石家庄 050000)
Author(s):
PAN Bing-hong1 LI Zhen-fa1 HE Yong-hai2 JIAO Yan-li3
(1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Yanzhao Modern Transportation Laboratory, Hebei Transportation Investment Group Co., Ltd., Shijiazhuang 050000, Hebei, China; 3. Hebei Provincial Communications Planning Design and Research Institute Co., Ltd., Shijiazhuang 050000, Hebei, China)
关键词:
交通工程 分流方式适用性 Vissim仿真 主线分流 分流比例
Keywords:
traffic engineering triage mode applicability Vissim simulation mainline shunt diversion ratio
分类号:
U412.366
DOI:
10.19721/j.cnki.1671-8879.2026.01.012
文献标志码:
A
摘要:
为解决中国现行规范中对高速公路互通式立体交叉(简称互通)范围内主线分流方式的选择仅定性规定了应依据主、次交通流选择,但未明确不同分流方式选择的交通量和分流比例,导致设计人员选择随意性大的问题,并为互通范围内单向三车道高速公路主线分流方式选择提供定量指标依据,基于无人机航拍及YOLOv8目标检测技术,采集高速公路互通主线分流区的交通流数据,分析主线分流区车辆运行速度、车头时距、变道轨迹等关键交通流仿真参数,并建立单向三车道主线分流区仿真模型; 基于修正双曲正切微观变道模型,提出单向三车道主线分流区车辆变道最小长度,并据此调整仿真模型变道参数; 通过GEH法检验模型的准确性,以延误时间和冲突率作为通行能力和安全性的评价指标,运用控制变量法分析主线分流前交通量、主线设计速度以及左行分流比例对延误时间和冲突率仿真结果的影响和变化规律,提出基于临界交通量和临界分流比例的单向三车道主线分流方式所适应的交通条件。研究结果表明:单向三车道主线分流方式的适用性与主线分流前交通量、主线设计速度密切相关,左侧直接分流和右侧间接分流2种主线分流方式随分流比例变化呈现出不同优势,但此2种分流方式对主线分流区通行效率的优化程度有限,在设计时不能只简单地将主、次交通流作为单向三车道主线分流方式选择的依据,应综合分流比例并优先考虑交通量对其适用性的影响。
Abstract:
To address the issue that China's current specifications only qualitatively stipulate that the selection of mainline divergence modes within expressway interchanges(referred to as interchanges)should be based on main and secondary traffic flows, no clear traffic volume or divergence ratio is specified for different diverging modes. This leads to high randomness in designers' selections. Based on UAV aerial photography and YOLOv8 target detection technology, the traffic flow data in the mainline divergence area of expressway inter-changes were collected, and key traffic flow simulation parameters(such as vehicle operating speed, headway, and lane-changing trajectory)in the mainline divergence area were analyzed, followed by the establishment of a simulation model for the three-lane one-way mainline divergence area. Based on the modified hyperbolic tangent microscopic lane-changing model, the minimum lane-changing length for vehicles in the three-lane one-way mainline divergence area was proposed, and the lane-changing parameters of the simulation model were adjusted accordingly. The accuracy of the model was verified by the GEH method. Delay time and conflict rate were taken as evaluation indicators for capacity and safety, the control variable method was adopted to analyze the impacts and variation laws of pre-divergence mainline traffic volume, mainline design speed, and left-lane divergence ratio on the simulation results of delay time and conflict rate. Finally, the traffic conditions applicable to the three-lane one-way mainline divergence modes were proposed based on critical traffic volume and critical divergence ratio. The research results show that the applicability of three-lane one-way mainline divergence modes is closely related to pre-divergence mainline traffic volume and mainline design speed. The two mainline divergence modes(direct left-lane divergence and indirect right-lane divergence)exhibit different advantages with change in divergence ratio, but their optimization effect on the traffic efficiency of mainline divergence area is limited. In design, main and secondary traffic flows cannot be simply taken as the basis for selecting three-lane one-way mainline divergence modes, the divergence ratio should be comprehensively considered, and priority should be given to the impact of traffic volume on applicability.22 tabs, 16 figs, 35 refs.

参考文献/References:

[1] 吴朝阳.高速公路主线分岔、合流连接部关键技术指标研究[D].西安:长安大学,2016.
WU Chao-yang. Research on key technical indexes of highway mainline bifurcation and merging connection section[D]. Xi'an: Chang'an University, 2016.
[2]戴 伟,孔庆伟,石昆磊.城市枢纽型互通立交主线分合流设计[J].中国市政工程,2008,33(3):7-9,93.
DAI Wei, KONG Qing-wei, SHI Kun-lei. Design of mainline bifurcation and merging for urban hub-type interchange[J]. China Municipal Engineering, 2008, 33(3): 7-9, 93.
[3]王义鑫,倪 旭,温长鹏.成都天府国际机场高速T1T2互通立交总体方案研究[J].中外公路,2020,40(2):310-313.
WANG Yi-xin, NI Xu, WEN Chang-peng. Study on the overall scheme of T1T2 interchange of Chengdu Tianfu International Airport Expressway[J]. Chinese and foreign highways, 2020, 40(2): 310-313.
[4]赵 文.基于交通需求的互通式立交方案设计研究[J].公路,2021,66(3):72-75.
ZHAO Wen. Study on the design of interchange scheme based on traffic demand[J]. Highway, 2021, 66(3): 72-75.
[5]王 兵.主线连续在高速公路枢纽互通立交中的应用研究[D].济南:山东大学,2018.
WANG Bing. Research on the application of mainline continuity in highway hub interchange[D]. Jinan: Shandong University, 2018.
[6]姚 晶.主线分合流与隧道及主线出入口最小间距研究[D].西安:长安大学,2017.
YAO Jing. Research on mainline merging and minimum spacing of tunnels and mainline entrances and exits[D]. Xi'an: Chang'an University, 2017.
[7]王 涛,黄 丹,刘禅奕,等.基于YOLOv5s的无人机图像车辆检测[J].计算机与现代化,2024,40(8):108-113.
WANG Tao, HUANG Dan, LIU Chan-yi, et al. UAV image vehicle detection based on YOLOv5s[J]. Computer and Modernization, 2024, 40(8): 108-113.
[8]尹泉贺,原素慧,朱梦琳,等.基于改进YOLOv5s的无人机航拍小目标检测算法研究[J].现代信息科技,2024,8(14):37-42,48.
YIN Quan-he, YUAN Su-hui, ZHU Meng-lin, et al. A study on small target detection algorithm for UAV aerial photography based on improved YOLOv5s[J]. Modern Information Technology, 2024, 8(14): 37-42, 48.
[9]潘兵宏,彭俊宁,马朝辉,等.右转匝道左置形式下匝道连续分流最小间距[J].北京工业大学学报,2025,51(7):811-824.
PAN Bing-hong, PENG Jun-ning, MA Zhao-hui, et al. Minimum spacing for continuous diverging on ramps with left-located right-turn ramps[J]. Journal of Beijing University of Technology, 2025, 51(7): 811-824.
[10]潘兵宏,张佳乐,王 潮.基于间隙接受理论的高速公路双车道入口辅助车道长度[J].同济大学学报(自然科学版),2025,53(3):391-401.
PAN Bing-hong, ZHANG Jia-le, WANG Chao. Length of auxiliary lane at two-lane freeway entrance based on gap acceptance theory[J]. Journal of Tongji University(Natural Science Edition), 2025, 53(3): 391-401.
[11]潘兵宏, 周锡浈,周廷文,等.高速公路互通式立交出口识别视距计算模型[J].同济大学学报(自然科学版),2020,48(9):1312-1318,1352.
PAN Bing-hong, ZHOU Xi-zhen, ZHOU Ting-wen, et al. Calculation model for recognizing sight distance of highway interchanges[J]. Journal of Tongji University(Natural Science Edition), 2020, 48(9): 1312-1318, 1352.
[12]潘兵宏,王 潮,王 俏,等.基于微观换道的高速公路双车道出口辅助车道长度研究[J].同济大学学报(自然科学版),2022,50(11):1647-1657.
PAN Bing-hong, WANG Chao, WANG Qiao, et al. Study on the length of auxiliary lane for two-lane highway exit based on microscopic lane change[J]. Journal of Tongji University(Natural Science Edition), 2022, 50(11): 1647-1657.
[13]HIDAS P. Modelling lane changing and merging in microscopic traffic simulation[J]. Transportation Research Part C: Emerging Technologies, 2002, 10(5): 351-371.
[14]李 玮,高德芝,段建民.智能车辆自由换道模型研究[J].公路交通科技,2010,27(2):119-123.
LI Wei, GAO De-zhi, DUAN Jian-min. Intelligent vehicle modeling for free lane changing[J]. Highway Transportation Technology, 2010, 27(2): 119-123.
[15]杨志刚,戚志锦,黄 燕.智能车辆自由换道轨迹规划研究[J].重庆交通大学学报(自然科学版),2013,32(3):520-524.
YANG Zhi-gang, QI Zhi-jin, HUANG Yan. Intelligent vehicle free lane changing trajectory planning[J]. Journal of Chongqing Jiaotong University(Natural Science Edition), 2013, 32(3): 520-524.
[16]ABRAR H, ALBERTO T, LEANDRO L, et al. Intelligent speed adaptation for visibility technology affects drivers' speed selection along curves with sight limitations[J]. Journal of Traffic and Transportation Engineering(English Edition), 2024, 11(1): 16-27.
[17]潘兵宏,王 烨.基于双曲正切函数的小客车换道轨迹模型[J].江苏大学学报(自然科学版),2020,41(4):419-425.
PAN Bing-hong, WANG Ye. Trajectory modeling of minibus lane changing based on hyperbolic tangent function[J]. Journal of Jiangsu University(Natural Science Edition), 2020, 41(4): 419-425.
[18]周育名,魏建国,陈致远,等.考虑多因素的高速公路养护区交通组织[J].长安大学学报(自然科学版),2020,40(2):99-108.
ZHOU Yu-ming, WEI Jian-guo, CHEN Zhi-yuan, et al. Traffic organization of freeway maintenance zones considering multiple factors[J]. Journal of Chang'an University(Natural Science Edition), 2020, 40(2): 99-108.
[19]王丽园.VISSIM仿真参数校正的宏观方法研究[D].长沙:长沙理工大学,2014.
WANG Li-yuan, Research on the macroscopic method of VISSIM simulation parameter correction[D]. Changsha: Changsha University of Science and Technology, 2014.
[20]陈 昊,陆 建.基于VISSIM仿真的高速公路事故交通影响[J].长安大学学报(自然科学版),2015,35(增1):226-229.
CHEN Hao, LU Jian. Traffic impact of freeway accidents based on VISSIM simulation[J]. Journal of Chang'an University(Natural Science Edition), 2015, 35(S1): 226-229.
[21]潘兵宏,章泽龙,周 乾,等.基于Sigmoid换道模型的匝道连续分流间距[J].长安大学学报(自然科学版),2023,43(6):37-48.
PAN Bing-hong, ZHANG Ze-long, ZHOU Qian, et al. Continuous diverging spacing of ramps based on the Sigmoid lane-changing model[J]. Journal of Chang'an University(Natural Science Edition), 2023, 43(6): 37-48.
[22]李星星.车道变换过程中的攻击性驾驶行为研究[J].交通标准化,2014,42(11):7-10,14.
LI Xing-xing. A study of aggressive driving behavior during lane changing[J]. Transportation Standardization, 2014, 42(11): 7-10, 14.
[23]PAN B, CHAI H, LIU J, et al. Evaluating operational features of multilane turbo roundabouts with an entropy method[J]. Journal of Transportation Engineering, Part A: Systems, 2022, 148(10): 04022072.
[24]刘 通,杨 波,杨雪琦,等.基于HighD数据集的高速公路小客车换道风险分析[J].深圳大学学报(理工版),2025,42(1):94-104.
LIU Tong, YANG Bo, YANG Xue-qi, et al. Risk analysis of highway minibus lane changing based on HighD dataset[J]. Journal of Shenzhen University(Science and Technology Edition), 2025, 42(1): 94-104.
[25]吴明先,曹骏驹,林宣财,等.多车道高速公路不同车道运行速度的特点[J].公路交通科技,2021,38(9):33-44,59.
WU Ming-xian, CAO Jun-ju, LIN Xuan-cai, et al. Characteristics of operating speeds of different lanes of a multi-lane highway[J].Highway Traffic Science and Technology, 2021, 38(9): 33-44, 59.
[26]赵一飞,陈 敏,潘兵宏.隧道与互通式立交出口最小间距需求分析[J].长安大学学报(自然科学版),2011,31(3):68-71,89.
ZHAO Yi-fei, CHEN Min, PAN Bing-hong. Analysis of minimum spacing between tunnel and interchange[J]. Journal of Chang'an University(Natural Science Edition), 2011, 31(3): 68-71, 89.
[27]郭唐仪,胡启洲,姚丁元.高速出口预告指路标志设置距离及其安全性能比较[J]公路交通科技,2011,28(12):106-111.
GUO Tang-yi, HU Qi-zhou, YAO Ding-yuan. Comparison of the setting distance and safety performance of highway exit warning signs[J]. Highway Traffic Science and Technology, 2011, 28(12): 106-111.
[28]刘 兵,王锦锐,谢济铭,等.微观轨迹数据驱动的交织区换道概率分布模型[J].汽车安全与节能学报,2022,13(2):333-340.
LIU Bing, WANG Jin-rui, XIE Ji-ming, et al. A micro-trajectory data-driven probability distribution model for lane changing in weaving zone[J]. Journal of Automotive Safety and Energy Conservation, 2022, 13(2): 333-340.
[29]刘 斌.基于乘客感受的互通式立交范围内路面宽度过渡段关键技术研究[D].西安:长安大学,2018.
LIU Bin. Research on key technology of pavement width transition section within interchange based on passenger perception[D]. Xi'an: Chang'an University, 2018.
[30]黄艳国,许伦辉,罗 强,等.加速度变化对道路平面线形行车舒适性评价方法[J].广西师范大学学报(自然科学版),2014,32(2):1-8.
HUANG Yan-guo, XU Lun-hui, LUO Qiang, et al. Evaluation method of acceleration change on driving comfort of road plane lines[J]. Journal of Guangxi Normal University(Natural Science Edition), 2014, 32(2): 1-8.
[31]ELHASSY Z, ABOU-SENNA H, SHAABAN K, et al. The implications of converting a high-volume multilane roundabout into a turbo roundabout[J]. Journal of Advanced Transportation, 2020, 2020(1): 1-12.
[32]柴 虎.互通式立体交叉主线相互分流方式及其适用性研究[D].西安:长安大学,2023.
CHAI Hu. Research on main line mutual diverging modes of interchanges and their applicability[D]. Xi'an: Chang'an University, 2023.
[33]胡江碧,何禄诚,王荣华.高速公路互通立交安全性评价研究综述[J].中国公路学报,2020,33(7):17-28.
HU Jiang-bi, HE Lu-cheng, WANG Rong-hua. A review of safety evaluation of highway interchanges[J]. China Highway Journal, 2020, 33(7): 17-28.
[34]YAO R, XIANG Q, GU X, et al. Safety assessment of auxiliary lanes in freeway interchange weaving areas based on traffic conflict technique[J]. MATEC Web of Conferences, 2017, 124: 04005.
[35]戴骏晨.基于交通冲突技术的高速公路互通立交交织区交通安全评价[D].南京:东南大学,2016.
DAI Jun-chen. Traffic safety assessment of freeway interchange weaving areas based on traffic conflict technique[D]. Nanjing: Southeast University, 2016.
[36]许 源.立交交织区交通安全、效率与干预研究[D].武汉:武汉理工大学,2007.
XU Yuan. Research on traffic safety, efficiency and intervention in interchange intersection area[D]. Wuhan: Wuhan University of Technology, 2007.

相似文献/References:

[1]王建伟,李娉,高洁,等.中国交通运输碳减排区域划分[J].长安大学学报(自然科学版),2012,32(01):0.
[2]李曙光,周庆华.具有破坏排队的离散时间动态网络装载算法[J].长安大学学报(自然科学版),2012,32(01):0.
[3]凌海兰,郗恩崇.基于随机波动条件的公交客运量预测模型[J].长安大学学报(自然科学版),2012,32(01):0.
[4]田娥,肖庆,陆小佳,等.安全驾驶的横向安全预警报警阈值的确定[J].长安大学学报(自然科学版),2012,32(01):0.
[5]侯贻栋,赵炜华,魏 朗,等.驾驶人空间距离判识规律心理学分析[J].长安大学学报(自然科学版),2012,32(03):86.
 HOU Yi-dong,ZHAO Wei-hua,WEI Lang,et al.Analysis on psychology in cognitive distance about drivers[J].Journal of Chang’an University (Natural Science Edition),2012,32(01):86.
[6]赵跃峰,张生瑞,魏 华.隧道群路段运行速度特性分析[J].长安大学学报(自然科学版),2012,32(06):67.
 ZHAO Yue-feng,ZHANG Sheng-rui,WEI hua.Operating speed characteristics of tunnel group section[J].Journal of Chang’an University (Natural Science Edition),2012,32(01):67.
[7]林 杉,许宏科,刘占文.一种高速公路隧道交通流元胞自动机模型[J].长安大学学报(自然科学版),2012,32(06):73.
 LIN Shan,XU Hong-ke,LIU Zhan-wen.One cellular automaton traffic flow model for expressway tunnel[J].Journal of Chang’an University (Natural Science Edition),2012,32(01):73.
[8]刘俊德,徐 兵,梁永东,等.交通事故下高速公路行车安全评估[J].长安大学学报(自然科学版),2012,32(06):78.
 LIU Jun-de,XU bing,LIANG Yong-dong,et al.Traffic safety assessment of expressway in the accident[J].Journal of Chang’an University (Natural Science Edition),2012,32(01):78.
[9]芮海田,吴群琪,赵跃峰,等.公路建设对区域经济发展的影响分析——以陕西省为例[J].长安大学学报(自然科学版),2012,32(06):83.
 RUI Hai-tian,WU Qun-qi,ZHAO Yue-feng,et al.Influence of highway construction on regional economy development——taking Shaanxi as an example[J].Journal of Chang’an University (Natural Science Edition),2012,32(01):83.
[10]彭 辉,续宗芳,韩永启,等.城市群城际运输结构配置客流分担率模型[J].长安大学学报(自然科学版),2012,32(02):91.
 PENG Hui,XU Zong-fang,HAN Yong-qi,et al.Sharing ratios model of passenger flows in intercity transportation structure configuration among urban agglomeration[J].Journal of Chang’an University (Natural Science Edition),2012,32(01):91.

备注/Memo

备注/Memo:
收稿日期:2025-07-22
基金项目:山区高速公路智慧交通关键技术研究项目(ZH2023D1-03)
作者简介:潘兵宏(1974-),男,湖北黄陂人,副教授,工学博士,从事路线工程研究,E-mail:409291838@qq.com。
更新日期/Last Update: 2026-02-20