高速公路入口匝道的模糊逻辑控制及辅助方案设计

张生瑞; 唐国玺

高速公路入口匝道的模糊逻辑控制及辅助方案设计

长安大学公路学院, 陕西西安 710064

基金项目:

国家自然科学基金项目 50578009

详细信息

作者简介:
张生瑞(1963-), 男, 陕西佳县人, 长安大学教授, 工学博士, 从事交通运输规划与管理及交通控制研究

中图分类号: U491.223
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- PDF下载量: 668
- 被引次数: 0
出版历程
- 收稿日期: 2006-07-12
- 刊出日期: 2006-12-25

On-ramp fuzzy logic control and auxiliary project design of freeway

School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China

More Information

Author Bio:
Zhang Sheng-rui(1963-), male, PhD, professor, 86-29-82334262, zhangsr@chd.edu.cn

摘要

摘要: 为保证高速公路主线安全、畅通与舒适运行, 减少对相连道路的影响, 构造了匝道逻辑模糊控制器, 提出了三种入口匝道辅助设计方案。结合工程实际, 选择了上游车流密度、下游车流密度和入口处等待车辆的总长度作为模糊控制器的输入量, 入口匝道的调节率为输出量。计算结果表明, 随着入口匝道车辆数量的增加, 高速公路主线下游的车速将明显下降, 根据主线上、下游车流密度及匝道车辆的数量变化, 计算出不同的匝道调节率, 通过对高速公路入口匝道的调节率进行实时调节, 可控制匝道上车辆的进入, 入口匝道辅助方案的实施可缓解与高速公路相连道路的拥堵, 对改善高速公路运行安全和效率具有重要的作用。
- 交通工程 /
- 入口匝道 /
- 模糊控制 /
- 匝道调节率 /
- 辅助方案
Abstract: In order to ensure the safe, expedite and comfortable operation of freeway mainline, and to lessen its influence on linked roads, a fuzzy logic controller of on-ramp was constructed, three kinds of auxiliary on-ramp projects were designed.In practical engineering, the upstream density, downstream density and entrance queue of vehicle-flux were selected as controller inputs, the metering rate of on-ramp was selected as controller output.Calculated result indicates that downstream vehicle speeds in mainline are decreasing obviously with the increasing of vehicle number in on-ramp; according to upstream density, downstream density and vehicle number, ramp metering rate can be calculated; the entrance of on-ramp vehicles can be controlled by the real-time adjusting of the metering rate of freeway on-ramp, the application of auxiliary projects can alleviate the congestion of linked roads, and improve the safety and efficiency of freeway running.
- traffic engineering /
- on-ramp /
- fuzzy control /
- ramp metering rate /
- auxiliary projects

HTML全文

图 1 模糊控制系统

Figure 1. Fuzzy control system

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图 2 D_U模糊集的划分

Figure 2. Division of D_U fuzzy sets

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图 3 加宽匝道

Figure 3. Widening ramp

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图 4 增设路边等待区

Figure 4. Adding roadside waiting area

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图 5 临时停车场

Figure 5. Temporary park

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表 1 匝道收费站交通调查表

Table 1. Traffic investigation table of tollgate

	00:00	00:20	00:40	01:00	01:20	01:40	02:00	02:20	02:40	03:00
上游车速/ (km·h^-1)	80	75	80	80	80	80	75	70	80	80
下游车速/ (km·h^-1)	80	75	80	70	65	60	60	50	50	60
匝道车辆数/[veh· (20 s)^-1]	1	1	2	1	2	0	1	0	0	0

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参考文献(11)

[1]	姜紫峰, 荆便顺, 韩锡令. 高速公路入口匝道控制的仿真研究[J]. 中国公路学报, 1997, 10(2): 83-89. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL199702014.htm Jiang Zi-feng, Jing Bian-shun, Han Xi-ling. Simulation study of on-ramp control in freeway[J]. China Journal of Highway and Transport, 1997, 10(2): 83-89. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZGGL199702014.htm
[2]	张洋, 田志学, 靳引利. 基于模糊算法的高速公路匝道控制方法[J]. 长安大学学报: 自然科学版, 2002, 22(6): 65-68. https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200206017.htm Zhang Yang, Tian Zhi-xue, Jin Yin-li. Expressway entrance control based on fuzzy arithmetic[J]. Journal of Chang'an University: Natural Science Edition, 2002, 22(6): 65-68. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XAGL200206017.htm
[3]	谭满春, 徐建闽, 毛宗源. 高速公路入口匝道的模糊逻辑控制[J]. 华南理工大学学报: 自然科学版, 1999, 27(8): 5-8. https://www.cnki.com.cn/Article/CJFDTOTAL-HNLG199908001.htm Tan Man-chun, Xu Jian-min, Mao Zong-yuan. On-ramp fuzzy logic control in freeway[J]. Journal of South China University of Technology: Natural Science, 1999, 27(8): 5-8. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HNLG199908001.htm
[4]	王立新. 模糊系统与模糊控制教程[M]. 北京: 清华大学出版社, 2003.
[5]	Chen L L. Freeway ramp control using fuzzy set theory for inexact reasoning[J]. Transportation Research, 1990, 24(1): 15-25.
[6]	陈德望, 王飞跃, 陈龙. 基于模糊神经网络的城市高速公路入口匝道控制算法[J]. 交通运输工程学报, 2003, 3(2): 100-105. http://transport.chd.edu.cn/article/id/200302017 Chen De-wang, Wang Fei-yue, Chen Long. Freeway ramp control algorithm based on neurofuzzy networks[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 100-105. (in Chinese) http://transport.chd.edu.cn/article/id/200302017
[7]	Makigami Y. Evaluation of outside and inside expressway ramps based on merging probability[J]. Journal of Transportation Engineering, 1991, 117(1): 57-70. doi: 10.1061/(ASCE)0733-947X(1991)117:1(57)
[8]	MoriY. Trafficsimulation of on-rampmergingbehavior[J]. Technology Reports of the Osaka University, 1994, 44(2): 101-111.
[9]	Nguyen D H. Neural network for self-learning control systems[J]. IEEE Control System Magazine, 1990, 10(1): 18-23.
[10]	丁建梅, 王可崇. 高速公路入口匝道交通模糊控制研究[J]. 哈尔滨工业大学学报, 2002, 34(5): 671-674. doi: 10.3321/j.issn:0367-6234.2002.05.022 Ding Jian-mei, Wang Ke-chong. Fuzzy control of traffic flow on run-on ramp of expressway[J]. Journal of Harbin Institute of Technology, 2002, 34(5): 671-674. (in Chinese) doi: 10.3321/j.issn:0367-6234.2002.05.022
[11]	Sasaki T, Akiyama T. Traffic control process of expressway by fuzzy logic[J]. Fuzzy Sets and Systems, 1988, 26(2): 165-178. doi: 10.1016/0165-0114(88)90206-0