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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 combined method for short-term traffic flow prediction based on recurrent neural network
Alexandria Engineering Journal, 2021 The accurate prediction of real-time traffic flow is indispensable to intelligent transport systems. However, the short-term prediction remains a thorny issue, due to the complexity and stochasticity of the traffic flow.
Saiqun Lu +3 more
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IEEE Access, 2019 Short-term traffic flow prediction is one of the most important issues in the field of intelligent transportation systems. It plays an important role in traffic information service and traffic guidance.
Luntian Mou +3 more
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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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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 Method Based on Spatiotemporal Relativity [PDF]
Jisuanji gongcheng, 2020 The intelligent travel of the new generation intelligent traffic system and the intelligent decision-making of traffic big data need accurate and timely short-term traffic flow prediction.Deep learning can generate features by machine learning technology,
YAN Yang, SUN Lijun, ZHU Lanting
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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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Deep learning for short-term traffic flow prediction [PDF]
Transportation Research Part C: Emerging Technologies, 2017 We develop a deep learning model to predict traffic flows. The main contribution is development of an architecture that combines a linear model that is fitted using $\ell_1$ regularization and a sequence of $\tanh$ layers. The challenge of predicting traffic flows are the sharp nonlinearities due to transitions between free flow, breakdown, recovery ...
Polson, Nicholas, Sokolov, Vadim
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Prediction model for short‐term traffic flow based on a K‐means‐gated recurrent unit combination
IET Intelligent Transport Systems, 2022 Short‐term forecasting of traffic flow is an indispensable part of easing traffic pressure. Considering that different traffic flow patterns will affect the short‐term traffic flow prediction results, a combined method based on the K‐means clustering ...
Zhaoyun Sun +4 more
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