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J4  2013, Vol. 47 Issue (3): 515-521    DOI: 10.3785/j.issn.1008-973X.2013.03.017
土木工程     
城市路网交叉口检测器均衡布设优化方法
金盛1, 徐程2, 王殿海1
1. 浙江大学 建筑工程学院,浙江 杭州 310058;2. 浙江警察学院 治安系,浙江 杭州 310053
Optimal traffic detector locations for equal distribution
 at urban network intersections
JIN Sheng1, XU Cheng2, WANG Dian-hai1
1. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China;
2. Department of Public Security, Zhejiang Police College, Hangzhou 310053, China
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摘要:

根据道路交叉口交通流量相关性,提出一种交叉口检测器均衡布设优化方法.在分析检测器数据相关性的基础上,建立交叉口所有检测器的多元逐步回归模型,并得到检测器相关性矩阵,采用极大无关组确定检测器优化布设规模|借鉴经济学中基尼系数的概念,以基尼系数最小作为检测器均衡布设的优化目标,从极大无关组中优选得到最佳检测器布设位置|采用福州五一五四路交叉口实际数据对模型有效性进行验证,并对预测误差进行详细分析.结果表明:对非关键检测器数据预测的平均绝对误差与平均相对误差分别为1044辆车/h和813%|显著性检验中的F值与布设检测器的规模具有很强的线性相关性.

Abstract:

 This work proposed an optimal location method of traffic detectors based on the correlation of flow at urban intersections.  Multiple stepwise regression models were used for each detector, and the correlation matrix of detector field  data was obtained. The number of location detectors was determined by maximal linearly independent subset. By introducing the concept of Gini Coefficient in economics, an optimization model of equal distribution for the selection of key detectors was set under the minimum Gini Coefficient. The field intersections data from Wuyi-Wusi Road in Fuzhou were used to verify the validity of the proposed model and to analyze the trend of prediction error. Experimental results show that the mean absolute error and the mean relative error of volume were 10.44 vehicle/h and 8.13%, respectively.  The F value for test of significance has a strong linear correlation with the optimal number of traffic detectors.

出版日期: 2013-03-01
:  U 491.1  
基金资助:

国家自然科学基金资助项目(51208462, 51278454).

通讯作者: 王殿海,男,教授.     E-mail: wangdianhai@zju.edu.cn
作者简介: 金盛(1982-),男,博士,讲师,从事交通流理论与交通控制研究.E-mail: jinsheng@zju.edu.cn
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引用本文:

金盛, 徐程, 王殿海. 城市路网交叉口检测器均衡布设优化方法[J]. J4, 2013, 47(3): 515-521.

JIN Sheng1, XU Cheng2, WANG Dian-hai1. Optimal traffic detector locations for equal distribution
 at urban network intersections. J4, 2013, 47(3): 515-521.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2013.03.017        http://www.zjujournals.com/eng/CN/Y2013/V47/I3/515

[1] LAM W, LO H P. Accuracy of O-D estimates from traffic counts[J]. Traffic Engineering and Control, 1990, 31(6): 358-367.
[2] YANG H, IIDIA Y, SASAKI T. An analysis of the reliability of an origin-destination trip matrix estimated from traffic counts[J]. Transportation Research Part B, 1991, 25(5): 351-363.
[3] YANG H, ZHOU J. Optimal traffic counting locations for origin-destination matrix estimation[J]. Transportation Research Part B, 1998, 32(2): 109-126.
[4] BIANCO L, CONFESSORE G, REVERBERI P. A network based model for traffic sensor location with implications on O/D matrix estimates[J]. Transportation Science, 2001, 35(1): 50-60.
[5] YANG H, YANG C, GAN L. Models and algorithms for the screen line-based traffic-counting location problems[J]. Computers & Operations Research, 2006, 33(3): 836-858.
[6] MINGUEZ R, SANCHEZ-CAMBRONERO C S, CASTILLO E, et al. Optimal traffic plate scanning location for OD trip matrix and route estimation in road networks[J]. Transportation Research Part B, 2010, 44(2): 282-298.
[7] CASTILLO E, MENENDEZ J M, SANCHEZ C S. Predicting traffic flow using Bayesian networks[J]. Transportation Research Part B, 2008, 42(5): 482-509.
[8] CASTILLO E, MENENDEZ J M, SANCHEZ C S. Traffic estimation and optimal counting location without path enumeration using Bayesian networks[J]. Computer-Aided Civil and Infrastructure Engineering, 2008, 23(3): 189-207.
[9] HU S R, PEETAB S, CHU C H. Identification of vehicle sensor locations for link-based network traffic applications[J]. Transportation Research Part B, 2009, 43(8/9): 873-894.
[10] 王殿海, 徐程, 祁宏生, 等. 基于路段流量相关性的检测器优化布设方法研究[J]. 华南理工大学学报:自然科学版, 2011, 39(3): 107-113.
WANG Dian-hai, XU Cheng, QI Hong-sheng, et al. Optimal arrangement of detectors based on correlation of link flow\
[J\]. Journal of South China University of Technology:Natural Science Edition, 2011, 39(3): 107-113.
[11] CASTILLO E, GALLEGO I, MENENDEZ J M, et al. Optimal use of platescanning resources for route flow estimation in traffic networks[J]. IEEE Intelligent Transportation Systems, 2010, 11(2) :380-391.
[12] 姜桂艳, 张若旗, 周志强. 城市主干道检测器分布与交通流量预测研究[J]. ITS通讯, 2002, 11(1): 22-26.
JIANG Guiyan, ZHANG Ruoqi, ZHOU Zhiqiang. The study on optimal space distribution of loop detectors on urban arterial road and prediction of traffic flow[J]. ITS Communications, 2002, 11(1): 22-26.
[13] 伍建国, 王峰. 城市道路交通数据采集系统检测器优化布点研究[J]. 公路交通科技, 2004, 21(2): 88-98.
WU Jianguo, WANG Feng. Study on optimal layout of traffic detector for traffic data collection system in urban area\[J\]. Journal of Highway and Transportation Research and Development, 2004, 21(2): 88-98.
[14] 裴玉龙, 刘博航, 徐慧智. 一种交通量检测设备布设方法的研究[J]. 公路交通科技, 2007, 24(11): 100-104.
PEI Yulong, LIU Bohang, XU Huizhi. Study on a method to set up detector for traffic flow\[J\]. Journal of Highway and Transportation Research and Development, 2007, 24(11): 100-104.
[15] 林培群, 徐建闽. 基于图论的路网交通检测器之布点[J]. 控制理论与应用, 2010, 27(12): 1605-1611.
LIN Peiqun, XU Jianmin. Layout of traffic detectors in road network based on graph theory\[J\]. Control Theory & Applications, 2010, 27(12): 16051611.
[16] 任沙浦, 沈国江. 短时交通流智能混合预测技术[J]. 浙江大学学报:工学版, 2010, 44(8): 1473-1478.
REN Shapu, SHENG Guojiang. Intelligent hybrid forecasting technique for shortterm traffic flow\[J\]. Journal of Zhejiang University:Engineering Science, 2010, 44(8): 1473-1478.
[17] 黄芳, 俞自涛, 帅鸥, 等. 基于均匀设计法的碳纳米管纳米流体稳定性[J]. 浙江大学学报:工学版, 2011, 45(7): 1254-1258.
HUANG Fang, YU Zitao, SHUAI Ou, et al. Carbon nanotube nanofluids stability with uniform design method \[J\]. Journal of Zhejiang University:Engineering Science, 2011, 45(7): 1254-1258.

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