降雨天气单点交叉口交通信号控制优化方法

李岩; 南斯睿; 马静; 周文辉; 陈宽民

doi:10.19818/j.cnki.1671-1637.2018.05.018

降雨天气单点交叉口交通信号控制优化方法

doi: 10.19818/j.cnki.1671-1637.2018.05.018

李岩^{1, 2,},
南斯睿²,
马静³,
周文辉²,
陈宽民²

1.
中交第一公路勘察设计研究院有限公司, 陕西西安 710075
2.
长安大学公路学院, 陕西西安 710064
3.
长安大学杂志社, 陕西西安 710064

基金项目:

国家自然科学基金项目 51408049

中国博士后科学基金项目 2016M590914

陕西省自然科学基础研究计划项目 2015JQ5167

中央高校基本科研业务费专项资金项目 300102218521

中央高校基本科研业务费专项资金项目 300102218409

中央高校基本科研业务费专项资金项目 310821171019

详细信息

作者简介:
李岩(1983-), 男, 河北衡水人, 长安大学副教授, 工学博士, 从事交通信号控制研究

中图分类号: U491.51
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- 被引次数: 0
出版历程
- 收稿日期: 2018-04-19
- 刊出日期: 2018-10-25

Optimization methods for traffic signal control of isolated intersection under rainy weather

1.
CCCC First Highway Consultants Co., Ltd., Xi'an 710075, Shaanxi, China
2.
School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China
3.
Periodical Office, Chang'an University, Xi'an 710064, Shaanxi, China

More Information

Author Bio:
LI Yan(1983-), male, associate professor, PhD, lyan@chd.edu.cn

摘要

摘要: 为优化降雨天气下单点交叉口交通控制的效率, 引入了降雨修正系数, 建立了单点交叉口交通信号配时方法; 应用行动分析软件分析降雨天气交叉口处的高精度视频, 以标定饱和流率、损失时间和到达车速等参数的变化特征, 提出了饱和流率、损失时间与到达车速的降雨修正系数; 建立了基于模拟退火算法的优化模型, 计算了各降雨等级下的修正系数; 构建了基于VISSIM仿真测试环境, 评估了提出的模型优化降雨天气下单点交叉口交通信号控制的效果, 分别比较了采用优化后参数的定时配时与感应配时对采用原参数的定时配时方案的交通运行效率。分析结果表明: 小雨、中雨与大到暴雨天气下的平均车头时距分别比正常天气增加了0.314%、1.256%、2.871%, 平均损失时间分别增加了1.042%、2.829%、3.424%;在流量低于600pcu· (h·lane) -1时, 改进的感应控制方案效果较好, 比采用原预设参数方案的车均延误降低了12%~23%;当流量高于600pcu· (h·lane) -1时, 采用改进的定时控制方案效果较好, 车均延误比原方案降低13%~25%, 并可在临近饱和与过饱和状态时推迟锁死状态的产生, 车均延误最低。
- 智能交通系统 /
- 交通信号控制 /
- 降雨天气 /
- 单点交叉口 /
- 模拟退火算法 /
- 参数估计 /
- 交通仿真
Abstract: To improve the efficiency of traffic signal control at an isolated intersection under rainy weather, a traffic signal timing method was established by introducing a rainy correction coefficient.The high-resolution video of the isolated intersection under rainy weather was analyzed by using the motion analysis software, the characteristics of the saturation flow rate, lost time, and approaching speed under rainy weather were calibrated, and the rainy correction coefficients of the saturation flow rate, lost time, and approaching speed were established.A optimization model was proposed based on the simulated annealing algorithm, and the correction coefficients under various rainfall intensity levels were calculated.A VISSIM-based simulation environment was built, and the isolated intersection traffic signal control effect of the proposed modelwas evaluated under rainy weather.The traffic efficiencies of the isolated intersection using pre-timed timing control and actuated timing control with optimized parameters were compared.Analysis result indicates that the average headways under little rain, moderate rain, and heavy or torrential rain increase by 0.314%, 1.256%, and 2.871%, respectively, the average lost times increase by 1.042%, 2.829%, and 3.424%, respectively.When the flow rate is lower than 600 pcu· (h·lane) -1, the improved actuated control exhibits better performance and its average delay is 12%-23%lower than that of the original plan.When the flow rate is higher than 600 pcu· (h·lane) -1, the effect of pretimed control with the optimization is better, and the average delay is 13%-25%lower than that of the original plan, which can delay the lockout states under the saturated and over-saturated conditions and lead to the lowest delay.
- intelligent transportation system /
- traffic signal control /
- rainy weather /
- isolated intersection /
- simulated annealing algorithm /
- parameter estimation /
- traffic simulation

HTML全文

图 1 车头时距分布

Figure 1. Distribution of headway

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图 2 各天气类型下饱和流率的分布

Figure 2. Distribution of saturation flow rate under various weather conditions

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图 3 降雨强度与饱和流率降雨修正系数的关系

Figure 3. Relationship between rainfall intensity and rainy correction coefficient of saturation flow rate

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图 4 各天气类型下起动损失时间的分布

Figure 4. Distribution of start lost time under various weather conditions

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图 5 降雨强度与起动损失时间降雨修正系数的关系

Figure 5. Relationship between rainfall intensity and rainy correction coefficient of start lost time

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图 6 天气类型对到达车速的影响

Figure 6. Influence of weather conditions on approaching speed

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图 7 降雨强度与到达车速降雨修正系数的关系

Figure 7. Relationship between rainfall intensity and rainy correction coefficient of approaching speed

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图 8 模拟退火算法流程

Figure 8. Procedure of simulated annealing algorithm

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图 9 测试交叉口的渠化

Figure 9. Channelization of selected intersection

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图 10 现状交通信号配时方案

Figure 10. Current traffic signal timing scheme

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图 11 VISSIM SCAPI降雨环境仿真框架

Figure 11. Simulation framework of VISSIM SCAPI under rainy environment

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图 12 不同方案在降雨环境下的延误对比

Figure 12. Comparisons of delay under rainy environment of different schemes

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表 1 观测样本数

Table 1. Observed sample numbers

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表 2 观测参数统计特性

Table 2. Statistics characteristics of observed parameters

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表 3 降雨修正系数与降雨强度的关系

Table 3. Relationship between rainy correction coefficient and rainfall intensity

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表 4 降雨对交通信号配时参数的影响

Table 4. Influences of rainfall on traffic signal timing parameters

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表 5 各种天气类型下模型参数标定值

Table 5. Calibrated values of model parameters under various weather conditions

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表 6 三个方案的信号配时参数对比

Table 6. Comparison of signal timing parameters of 3schemes

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