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针对城市快速路交通流特点,建立了基本路段、出入口匝道路段和交织区路段宏观交通流状态预测模型和检测模型,在此基础上,将全路段交通流模型组成状态-空间形式,建立了基于扩展卡尔曼滤波算法的交通状态估计器。在估计过程中,将模型参数作为附加的状态变量进行实时估计,提高了估计的准确性。实验结果表明,利用有限的检测数据可以获得全路段交通流状态。
According to the characteristics of expressway traffic flow in urban expressway, macroscopic traffic flow forecasting model and testing model of basic road section, turn-off ramp section and interlacing section are established. Based on this, the whole-section traffic flow model is composed of state-space form, Traffic State Estimator Based on Extended Kalman Filtering Algorithm. In the estimation process, the model parameters as additional state variables for real-time estimation, to improve the accuracy of the estimate. The experimental results show that the whole traffic flow status can be obtained by using limited test data.