Results 11 to 20 of about 211,137 (291)
"[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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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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Apparatus and method for congestion control in high speed networks [PDF]
, 2004 An adjustable bit rate (ABR) feedback control scheme is provided where the effects of multiloop delays and high priority traffic transmission are built into the control model. The data traffic is filtered by a low pass filter.
Li, San-Qi, Sigarto, Samuel
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Unequal Interval Dynamic Traffic Flow Prediction with Singular Point Detection
Applied Sciences, 2023 Analysis of traffic flow signals plays an important role in traffic prediction and management. As an intrinsic property, the singular point of a traffic flow signal labels a new nonsteady status.
Chang Guo, Demin Li, Xuemin Chen
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Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data
IEEE Access, 2020 Given the enormous traffic issues, such as congestion and crashes, resulting from the conflicts between trucks and passenger cars, an accurate and reliable prediction of truck traffic flow is needed to enhance the traffic flow efficiency and safety in ...
Shengyou Wang +4 more
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Urban traffic flow prediction techniques: A review
Sustainable Computing: Informatics and Systems, 2022 In recent decades, the development of transport infrastructure has had a great development, although traffic problems continue to spread due to increase due to the increase in the population in urban areas that require the use of these means of transport.
Boris Medina-Salgado +3 more
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