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浙江大学学报(工学版)
浙江大学学报(工学版)  2022, Vol. 56 Issue (6): 1241-1248    DOI: 10.3785/j.issn.1008-973X.2022.06.023
建筑与交通工程     
基于数据采样方法的城市道路自由流行程时间估计
俞怡(),曾佳棋,王殿海*()
浙江大学 建筑工程学院，浙江 杭州 310058
Free-flow travel time estimation in urban roads based on data sampling method
Yi YU(),Jia-qi ZENG,Dian-hai WANG*()
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
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摘要：

基于交通波模型，提出利用车牌识别数据估计城市道路自由流行程时间. 无需额外架设检测器或现场测算，所提方法具备准确性、科学性、实用性的特点. 基于车辆均匀到达的假设，将行程时间分为自由流行程时间和延误，建立信号影响下的路段行程时间分布函数. 针对现实环境中车流非均匀到达的特点，提出数据重采样方法生成符合均匀流假设的行程时间数据；拟合行程时间分布函数以获得路段自由流行程时间. 在杭州市多个路段的数据验证结果表明，重采样后的行程时间数据较好地拟合了行程时间分布模型，估得的自由流行程时间准确且具备理论支撑.
关键词： 自由流行程时间;  行程时间分布;  数据重采样;  城市道路    
Abstract:

Based on traffic wave theory, free-flow travel time in urban areas was estimated using plate recognition data. The proposed method was accurate, scientific and practical with no need for additional detectors or on-site calculations. With the hypophysis of uniform arrival, travel time was divided into free-flow travel time and delay, and a travel time distribution function was constructed in the traffic signal environment. To solve the non-uniform arrival problem in urban traffic, a data resampling method was proposed to generate travel time data that obey the uniform flow assumption. By fitting the travel time distribution function, the free-flow travel time was estimated. The approach was verified in Hangzhou, China. Results showed that the travel time data after resampling fits the travel time distribution model well. The estimated free-flow travel time is accurate and has fully theoretical support.
Key words: free-flow travel time    travel time distribution    data resampling    urban segment
收稿日期: 2021-07-06 出版日期: 2022-06-30
CLC:  U 491  
基金资助: 国家自然科学基金资助项目(52131202, 61773338, 52072340)；山东省重大科技创新工程项目(2019TSLH0203)
通讯作者: 王殿海     E-mail: eveyu@zju.edu.cn;wangdianhai@zju.edu.cn
作者简介: 俞怡（1995—），女，博士生，从事交通状态研究. orcid.org/0000-0002-5062-5071. E-mail： eveyu@zju.edu.cn
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引用本文:

俞怡,曾佳棋,王殿海. 基于数据采样方法的城市道路自由流行程时间估计[J]. 浙江大学学报(工学版), 2022, 56(6): 1241-1248.

Yi YU,Jia-qi ZENG,Dian-hai WANG. Free-flow travel time estimation in urban roads based on data sampling method. Journal of ZheJiang University (Engineering Science), 2022, 56(6): 1241-1248.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2022.06.023    或    https://www.zjujournals.com/eng/CN/Y2022/V56/I6/1241

图 1  非饱和状态下信号交叉口的车辆运行轨迹
图 2  非饱和状态下的行程时间概率密度函数
图 3  车牌自动识别系统示意图
图 4  数据采样过程中车辆累积到达和释放情况
图 5  自由流行程时间取值对采样的影响分析
图 6  案例路段的数据采集位置
路段编号 L/m C up/s C/s R/s N
1 353 120 120 70 2886
2 382 100 100 60 2470
3 539 120 100 60 2056
4 542 100 120 70 176
表 1  案例路段的信号控制参数及车牌识别数据量描述
图 7  路段1行程时间数据重采样过程与结果展示
路段编号 y/s K-S p 路段编号 y/s K-S p
1 26.0 0.84 3 40.5 0.83
2 27.6 0.06 4 40.3 0.33
表 2  自由流行程时间拟合值
图 8  路段原始行程时间分布
图 9  路段行程时间分布拟合结果
路段
编号 		y f
方法1） 方法2） 方法3） 本研究
1 36.71 24.5 28.41 26.59
2 33.93 24.33 28.29 28.54
3 64.34 41.29 50.15 41.70
4 59.97 40.29 44.59 40.12
表 3  自由流行程时间结果对比
图 10  自由流速度结果对比
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