Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression [PDF]
Promet (Zagreb), 2020 With the popularization of intelligent transportation system and Internet of vehicles, the traffic flow data on the urban road network can be more easily obtained in large quantities. This provides data support for shortterm traffic flow prediction based
Jing Luo
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A Bidirectional Context-Aware and Multi-Scale Fusion Hybrid Network for Short-Term Traffic Flow Prediction [PDF]
Promet (Zagreb), 2022 Short-term traffic flow prediction is to automatically predict the traffic flow changes in a period of future time based on the extraction of the spatiotemporal features in the road network. For governments, timely and accurate traffic flow prediction is
Zhixing CHEN, Guizhou ZHENG
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A New Synergistic Forecasting Method for Short-Term Traffic Flow with Event-Triggered Strong Fluctuation [PDF]
Journal of Control Science and Engineering, 2018 Directing against the shortcoming of low accuracy in short-term traffic flow prediction caused by strong traffic flow fluctuation, a novel method for short-term traffic forecasting based on the combination of improved grey Verhulst prediction algorithm ...
Darong Huang, Zhenping Deng, Bo Mi
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Spatiotemporal information enhanced multi-feature short-term traffic flow prediction. [PDF]
PLoS OneAccurately predicting traffic flow is crucial for optimizing traffic conditions, reducing congestion, and improving travel efficiency. To explore spatiotemporal characteristics of traffic flow in depth, this study proposes the MFSTBiSGAT model. The MFSTBiSGAT model leverages graph attention networks to extract dynamic spatial features from complex road
Huang D, He J, Tu Y, Ye Z, Xie L.
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Application effect of short-term traffic flow prediction method based on CNNBLSTM algorithm. [PDF]
PLoS ONEReduced forecast efficiency and accuracy are the result of traditional traffic flow prediction algorithms' inability to adequately capture the spatiotemporal characteristics and dynamic changes of traffic flow.
Guozhu Sui +5 more
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A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine. [PDF]
PLoS ONE, 2016 Short-term traffic flow prediction is one of the most important issues in the field of intelligent transport system (ITS). Because of the uncertainty and nonlinearity, short-term traffic flow prediction is a challenging task.
Qiang Shang +4 more
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A Short-Term Traffic Flow Reliability Prediction Method considering Traffic Safety [PDF]
Mathematical Problems in Engineering, 2020 With the rapid development and application of intelligent traffic systems, traffic flow prediction has attracted an increasing amount of attention. Accurate and timely traffic flow information is of great significance to improve the safety of transportation. To improve the prediction accuracy of the backward-propagation neural network (BPNN) prediction
Shaoqian Li +3 more
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Measurement: Sensors, 2023 Traffic flow prediction is a very important research field in intelligent transportation system. The traditional prediction methods have a very wide application in traffic flow prediction.
Jingyi Lu
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ITS-PRO-FLOW: A NEW ENHANCED SHORT-TERM TRAFFIC FLOW PREDICTION FOR INTELLIGENT TRANSPORTATION SYSTEMS [PDF]
Scientific Journal of Silesian University of Technology. Series Transport, 2023 Short-term traffic flow prediction plays a significant role in various applications of intelligent transportation systems (ITS), such as road traffic control and route guidance.
Halil Ibrahim KAZICI +2 more
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Short-term Traffic Flow Prediction Based on Deep Learning Model [PDF]
E3S Web of Conferences, 2021 In order to improve the prediction accuracy of the intelligent transportation system and provide effective support for the dynamic control and guidance of the highway management department, with the goal of minimizing the short-term traffic flow ...
Ren Nv Er +3 more
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