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J4  2012, Vol. 46 Issue (10): 1846-1850    DOI: 10.3785/j.issn.1008-973X.2012.10.017
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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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  

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:
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:
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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.


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