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Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
Journal of Advanced Transportation ( IF 2.0 ) Pub Date : 2020-12-03 , DOI: 10.1155/2020/8897325
Yuan Gao 1 , Jiandong Zhao 2, 3 , Ziyan Qin 2 , Yingzi Feng 2 , Zhenzhen Yang 2 , Bin Jia 2, 3
Affiliation  

Traffic congestion in the adjacent region between the highway and urban expressway is becoming more and more serious. This paper proposes a traffic speed forecast method based on the Macroscopic Fundamental Diagram (MFD) and Gated Recurrent Unit (GRU) model to provide the necessary traffic guidance information for travelers in this region. Firstly, considering that the road traffic speed is affected by the macroscopic traffic state, the adjacent region between the highway and expressway is divided into subareas based on the MFD. Secondly, the spatial-temporal correlation coefficient is proposed to measure the correlation between subareas. Then, the matrix of regional traffic speed data is constructed. Thirdly, the matrix is input into the GRU prediction model to get the predicted traffic speed. The proposed algorithm’s prediction performance is verified based on the GPS data collected from the adjacent region between Beijing Highways and Expressway.

中文翻译:

基于MFD和GRU模型的高速公路与城市高速公路相邻区域交通速度预测。

高速公路和城市高速公路之间的邻近区域的交通拥堵变得越来越严重。本文提出了一种基于宏观基本图(MFD)和门控循环单元(GRU)模型的交通速度预测方法,为该地区的旅行者提供必要的交通指导信息。首先,考虑到道路交通速度受宏观交通状态的影响,基于MFD将高速公路和高速公路之间的相邻区域划分为多个子区域。其次,提出了时空相关系数来度量子区域之间的相关性。然后,构建区域交通速度数据矩阵。第三,将矩阵输入到GRU预测模型中以获得预测的交通速度。
更新日期:2020-12-03
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