Results 11 to 20 of about 210,556 (289)
Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression
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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Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting
Journal of Mathematics, 2023 Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic ...
Ping Lou +4 more
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"[BFQ]Time gear" traffic flow prediction model with multiple factors integration[JP]
Journal of Hebei University of Science and Technology, 2022 In order to improve the accuracy of traffic flow prediction,a time gear traffic flow prediction model (TGM) with multiple factors integration was proposed by combining the characteristics of urban road traffic.The model was divided into two modules for ...
Tianhe LAN +3 more
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Digital Communications and Networks, 2022 Traffic flow prediction is an important part of the intelligent transportation system. Accurate multi-step traffic flow prediction plays an important role in improving the operational efficiency of the traffic network. Since traffic flow data has complex
Jihua Ye, Shengjun Xue, Aiwen Jiang
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STA-GCN: Spatial-Temporal Self-Attention Graph Convolutional Networks for Traffic-Flow Prediction
Applied Sciences, 2023 As an important component of intelligent transportation-management systems, accurate traffic-parameter prediction can help traffic-management departments to conduct effective traffic management.
Zhihong Chang +2 more
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Multi-Section Traffic Flow Prediction Based on MLR-LSTM Neural Network
Sensors, 2022 As the aggravation of road congestion leads to frequent traffic crashes, it is necessary to relieve traffic pressure through traffic flow prediction.
Ruizhe Shi, Lijing Du
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A Neural Network Based Traffic-Flow Prediction Model [PDF]
Mathematical and Computational Applications, 2010 Prediction of traffic-flow in Istanbul has been a great concern for planners of the city. Istanbul as being one of the most crowded cities in the Europe has a rural population of more than 10 million. The related transportation agencies in Istanbul continuously collect data through many ways thanks to improvements in sensor technology and communication
Gültekin Çetiner, B. +2 more
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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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A novel traffic optimization method using GRU based deep neural network for the IoV system [PDF]
PeerJ Computer Science, 2023 At present, China is moving towards the direction of “Industry 4.0”. The development of the automobile industry, especially intelligent automobiles, is in full swing, which brings great convenience to people’s life and travel.
Wu Wen, Dongliang Xu, Yang Xia
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A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction
IEEE Access, 2021 An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li +3 more
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