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浙江大学学报(工学版)
J4  2012, Vol. 46 Issue (10): 1846-1850    DOI: 10.3785/j.issn.1008-973X.2012.10.017
电气工程     
基于交通流混合模型的高速公路状态估计
李楠1,2, 赵光宙1
1. 浙江大学 电气工程学院,浙江 杭州310027；2.辽宁工程技术大学 电气与控制工程学院,辽宁 葫芦岛 125105
State estimation of freeway based on traffic flow hybrid model
LI Nan1,2, ZHAO Guang-zhou1
1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;
2. Faculty of Electronic and Control Engineering, Liaoning Technical University, Huludao 125105, China
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摘要：

针对单一的高速公路交通流模型在时变复杂道路情况下经常无法取得满意状态估计效果的问题,通过引入适应性权重参数,描述不同交通状况下高速公路一阶模型和高阶模型对实际交通状况的近似程度和适用性,提出数据驱动的高速公路一阶/二阶线性交通流混合模型.结合扩展Kalman滤波（EKF）原理,构建新的高速公路状态估计器,通过对交通状态和权重参数进行联合估计,得到不同路况条件下权重参数的变化情况.数值模拟实验结果验证了新的交通流混合模型及估计器的适应性和有效性.
Abstract:

It is hard to obtain satisfactory results using any single time-independent traffic flow model at the situation of realistic timedependent traffic flow. To resolve the issue, a data-driven first-and second-order linear hybrid model of traffic flow was proposed to capture the non-stationary and nonlinearity of traffic flow in a simple manner and help to enhance the ensuing estimation. Based on the linear hybrid model, and incorporated with the extended Kalman filter (EKF) theory, a freeway state estimator was constructed. Distinct from other estimators, the proposed estimator estimated the freeway state and the adaptability weighted coefficient in parallel. The effectiveness of the proposed traffic flow model and estimator was demonstrated by using field data. The time series of the relevant coefficients in different traffic conditions were estimated and compared to the measured values. Results indicated great potentials of the proposed estimator based on the new traffic flow model.
出版日期: 2012-10-01
:  U 491  
基金资助:

国家自然科学基金资助项目（60872070）； 辽宁省教育厅基金资助项目（L2010166）.
通讯作者: 赵光宙,男,教授,博导.     E-mail: zhaogz@zju.edu.cn
作者简介: 李楠（1978—）,男,讲师,博士生,从事智能交通系统信息融合和控制研究.E-mail: happyapple@zju.edu.cn
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引用本文:

李楠, 赵光宙. 基于交通流混合模型的高速公路状态估计[J]. J4, 2012, 46(10): 1846-1850.

LI Nan, ZHAO Guang-zhou. State estimation of freeway based on traffic flow hybrid model. J4, 2012, 46(10): 1846-1850.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.10.017    或    http://www.zjujournals.com/eng/CN/Y2012/V46/I10/1846

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