关键词: 精确传感网络, 智能交通系统, 旅行时间, 分类交通流量, 交通流模型

Abstract: The advantage of precise sensor network compared to the traditional sensor network was introduced firstly. Then the traffic flow model of precise sensor network was built. To improve the interpretability of the model, the precise license plate identification data were used, and the variables such as the space travel time and the classified traffic flow were introduced. The established model was dynamic in essence. The experimental results show that the fitting accuracy is higher and the mean absolute error between fitted and standard value is less than 9 seconds, and the mean relative error is less than 5%. The model has a high degree of accuracy above 90%. Finally, the great value of precise sensor network in real traffic environment was summarized.

Key words: precise sensor network, Intellignet Transport System (ITS), travel time, classified traffic flow, traffic flow model