长隧道路段货车限道措施的数值模拟——以甬莞高速角洞岙隧道路段为例
PDF下载 (149)吴权浩,逯星宇,颜 星,祝会兵,沈 军,晏艳彬.长隧道路段货车限道措施的数值模拟——以甬莞高速角洞岙隧道路段为例[J].宁波大学学报(理工版),2024,37(3):70-79.DOI:10.20098/j.cnki.1001-5132.2023.1225
WU Quanhao,LU Xingyu,YAN Xing,ZHU Huibing,SHEN Jun,YAN Yanbin.Numerical simulation of lane restriction measure for trucks in a long tunnel section: a case study of Jiaodongao Tunnel on the Ningbo-Dongguan Expressway in China[J].Journal of Ningbo University(Natural Science & Engineering Edition),2024,37(3):70-79.DOI:10.20098/j.cnki.1001-5132.2023.1225
| Title: | Numerical simulation of lane restriction measure for trucks in a long tunnel section: a case study of Jiaodongao Tunnel on the Ningbo-Dongguan Expressway in China |
| 作者: | 吴权浩, 逯星宇, 颜 星, 祝会兵, 沈 军, 晏艳彬 |
| Author(s): | WU Quanhao, LU Xingyu, YAN Xing, ZHU Huibing, SHEN Jun, YAN Yanbin |
| 关键词: | 高速公路; 长隧道路段; 交通流模型; 混合交通流; 货车限道措施 |
| Keywords: | highway; long tunnel section; traffic model; mixed traffic flow; lane restriction for trucks |
| 分类号: | U491 |
| DOI: | 10.20098/j.cnki.1001-5132.2023.1225 |
| 文献标识码: | A |
| 摘要: | 基于实际交通录像分析得出的边界条件和货车影响距离, 提出了含有长隧道的双车道元胞自动机交通流模型. 模拟结果与实际交通数据对比, 吻合较好, 表明模型能够准确反映实际交通流的特性. 数值模拟显示, 货车的存在增加了隧道路段交通拥堵的发生概率, 且这种影响随货车比增加而增强. 为降低货车对隧道交通的影响, 提出了货车限道措施, 并开展数值模拟, 结果表明, 货车限道措施能显著提升左车道的车速, 在大进车率时也能提升右车道的车速, 在高货车比时流量提升效果显著. |
| Abstract: | A two-lane cellular automaton traffic model with a long tunnel is proposed based on the analysis of actual measured traffic data, in which a new boundary condition and the influence range of trucks on cars are adopted. The simulation results are compared with the measured data, and they are in good agreement with each other. It indicates that the improved traffic model can effectively simulate the characteristics of traffic flow with a long tunnel section. Numerical simulations show that the presence of trucks increases the probability of congestion in the tunnel section, and this effect increases with the proportion of trucks. In order to reduce the negative impact of trucks on traffic flow in tunnel section, the measure of lane restriction for trucks is proposed, and the numerical simulation is carried out. It is shown that vehicles’ speeds in the left lane increase when the measure of lane restriction for trucks is adopted, and vehicles’ speeds in the right lane will increase when the injection is large. Especially, in the case of high proportion of trucks, speeds increase significantly. Large speeds lead to high traffic flow. The research can be used as a theoretical reference for the management of traffic flow on the highway with long tunnels. |
| 参考文献 /References: | [1].KORPINEN O, AALTO M, VENÄLÄINEN P, et al. Impacts of a high-capacity truck transportation system on the economy and traffic intensity of pulpwood supply in southeast Finland[J]. Croatian Journal of Forest Engineering: Journal for Theory and Application of Forestry Engineering, 2019, 40:89-105. [2].AGHABAYK K, SARVI M, YOUNG W. Understanding the dynamics of heavy vehicle interactions in car- following[J]. Journal of Transportation Engineering, 2012, 138(12):1468-1475. [3].LYU Z L, HU X J, ZHANG F, et al. Heterogeneous traffic flow characteristics on the highway with a climbing lane under different truck percentages: the framework of Kerner’s three-phase traffic theory[J]. Physica A: Statistical Mechanics and its Applications, 2022, 587:126471. [4].BEHNOOD A, AL-BDAIRI N S S. Determinant of injury severities in large truck crashes: a weekly instability analysis[J]. Safety Science, 2020, 131:104911. [5].ZENG J W, QIAN Y S, ZHANG J L, et al. A cellular automata model to simulate micro-characteristics of tunnel traffic flow[J]. Acta Microscopica, 2018, 27(4): 235-241. [6].MA Z L, SHAO C F, ZHANG S R. Characteristics of traffic accidents in Chinese freeway tunnels[J]. Tunnelling and Underground Space Technology, 2009, 24(3):350-355. [7].SUN H, WANG Q P, ZHANG P, et al. Spatialtemporal characteristics of tunnel traffic accidents in China from 2001 to present[J]. Advances in Civil Engineering, 2019, 2019:4536414. [8].TIAN J F, ZHU C Q, JIANG R, et al. Review of the cellular automata models for reproducing synchronized traffic flow[J]. Transportmetrica A: Transport Science, 2021, 17(4):766-800. [9].KONG D W, LIST G F, GUO X C, et al. Modeling vehicle car-following behavior in congested traffic conditions based on different vehicle combinations[J]. Transportation Letters, 2018, 10(5):280-293. [10].FENG T J, LIU K Y, LIANG C Y. An improved cellular automata traffic flow model considering driving styles[J]. Sustainability, 2023, 15(2):952. [11].ZHU H B, LEI L, DAI S Q. Two-lane traffic simulations with a blockage induced by an accident car[J]. Physica A: Statistical Mechanics and its Applications, 2009, 388(14): 2903-2910. [12].ZHU H B, ZHANG N X, WU W J. A modified two-lane traffic model considering drivers’ personality[J]. Physica A: Statistical Mechanics and its Applications, 2015, 428: 359-367. [13].RICKERT M, NAGEL K, SCHRECKENBERG M, et al. Two lane traffic simulations using cellular automata[J]. Physica A: Statistical Mechanics and its Applications, 1996, 231(4):534-550. [14].NAGEL K, SCHRECKENBERG M. A cellular automaton model for freeway traffic[J]. Journal de Physique I, 1992, 2(12):2221-2229. [15].LÁRRAGA M E, ALVAREZ-ICAZA L. Cellular automaton model for traffic flow based on safe driving policies and human reactions[J]. Physica A: Statistical Mechanics and its Applications, 2010, 389(23):5425- 5438. [16].GUZMÁN H A, LÁRRAGA M E, ALVAREZ-ICAZA L, et al. A cellular automata model for traffic flow based on kinetics theory, vehicles capabilities and driver reactions [J]. Physica A: Statistical Mechanics and its Applications, 2018, 491:528-548. [17].孙然然, 张静萱, 戴泽华, 等. 基于元胞自动机的特长隧道交通流模型研究[J]. 武汉理工大学学报(交通科学与工程版), 2021, 45(4):618-625. [18].胡晓辉, 何晓庆, 郑峰, 等. 一种改进CA高速公路隧道交通流仿真研究[J]. 计算机工程与应用, 2012, 48(16):207-211. [19].DOUGLAS J G. Strategies for managing increasing truck traffic[M]. Washington: Transportation Research Board, 2003:1-89. [20].DAS S, LE M, PRATT M P, et al. Safety effectiveness of truck lane restrictions: a case study on Texas urban corridors[J]. International Journal of Urban Sciences, 2020, 24(1):35-49. [21].EL-TANTAWY S, DJAVADIAN S, ROORDA M J, et al. Safety evaluation of truck lane restriction strategies using microsimulation modeling[J]. Transportation Research Record: Journal of the Transportation Research Board, 2009, 2099:123-131. [22].曹嘉晨. 考虑货车交通影响的多车道高速公路管控方法研究[D]. 西安: 长安大学, 2022. [23].钟连德, 李爱民, 曾洪岸, 等. 节假日高速公路大货车管理策略研究[J]. 公路, 2011, 56(3):102-106. [24].LU X Y, ZHU H B, WANG J G, et al. Modeling impacts of the tunnel section on the mixed traffic flow: a case study of Jiaodong’ao Tunnel in China[J]. Physica A: Statistical Mechanics and its Applications, 2022, 603: 127840. [25].吴胜春, 郑贤清, 郭明旻, 等. 国内典型大城市快速路交通流实测[J]. 中国科学(物理学 力学 天文学), 2011, 41(6):791-800. [26].GUZMÁN H A, LÁRRAGA M E, ALVAREZ-ICAZA L. A two lanes cellular automata model for traffic flow considering realistic driving decisions[J]. Journal of Cellular Automata, 2015, 10:65-93. [27].王抢. 高速公路长隧道出入口段可变限速研究[D]. 西安: 长安大学, 2015. [28].刘琦. 高速公路重载货车移动瓶颈仿真研究[D]. 南京: 东南大学, 2008. |
| 备注/Memo: | 收稿日期: 2023−12−16. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 浙江省自然科学基金（LY22E080005）. 第一作者: 吴权浩, 硕士研究生, 主要研究方向: 交通流建模与交通优化. E-mail: 1148497962@qq.com *通信作者: 祝会兵, 教授, 主要研究方向: 交通流建模与交通优化. E-mail: zhuhuibing@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
