【摘要】 针对各种恶劣气象条件下高速公路交通流的控制问题,利用MarkosPapageorgiou的高速公路交通流模型对各种气象条件进行分析,使用神经网络建立一种适合各种气象条件的匝道交通流数学模型,有效地控制恶劣气象条件下的高速公路交通事故.利用BP神经网络仿真,分析该模型的收敛速度,并辨识其中的参数,为在恶劣气象条件下控制高速公路的交通流奠定理论基础.更多还原

【Abstract】 With the traffic flow control issue under various bad weather conditions, the Markos Papageorgiou expressway traffic flow model is used to analyze various weather conditions. And a traffic flow mathematical model for various weathers is built by neural network, which can efficiently control accident on expressway. The simulation is done by BP neural network, the convergence speed of the model is analyzed, and the parameters are distinguished. The theoretical basis is established for the traffic flow control of expressway under various bad weather conditions.更多还原