Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model

Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model

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...

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Bibliographic Details
Main Authors: Yuan Gao, Jiandong Zhao, Ziyan Qin, Yingzi Feng, Zhenzhen Yang, Bin Jia
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Journal of Advanced Transportation
Online Access:http://dx.doi.org/10.1155/2020/8897325
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spelling doaj-2e7eb7a4cd6d48e4b8a4ad4dfcee8b012020-12-14T09:46:32ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88973258897325Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU ModelYuan Gao0Jiandong Zhao1Ziyan Qin2Yingzi Feng3Zhenzhen Yang4Bin Jia5School of Mechanical and Electronic Control Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, ChinaTraffic 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.http://dx.doi.org/10.1155/2020/8897325
collection DOAJ
language English
format Article
sources DOAJ
author Yuan Gao
Jiandong Zhao
Ziyan Qin
Yingzi Feng
Zhenzhen Yang
Bin Jia
spellingShingle Yuan Gao
Jiandong Zhao
Ziyan Qin
Yingzi Feng
Zhenzhen Yang
Bin Jia
Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
Journal of Advanced Transportation
author_facet Yuan Gao
Jiandong Zhao
Ziyan Qin
Yingzi Feng
Zhenzhen Yang
Bin Jia
author_sort Yuan Gao
title Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
title_short Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
title_full Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
title_fullStr Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
title_full_unstemmed Traffic Speed Forecast in Adjacent Region between Highway and Urban Expressway: Based on MFD and GRU Model
title_sort traffic speed forecast in adjacent region between highway and urban expressway: based on mfd and gru model
publisher Hindawi-Wiley
series Journal of Advanced Transportation
issn 0197-6729
2042-3195
publishDate 2020-01-01
description 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.
url http://dx.doi.org/10.1155/2020/8897325
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AT ziyanqin trafficspeedforecastinadjacentregionbetweenhighwayandurbanexpresswaybasedonmfdandgrumodel
AT yingzifeng trafficspeedforecastinadjacentregionbetweenhighwayandurbanexpresswaybasedonmfdandgrumodel
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