Results 21 to 30 of about 210,556 (289)
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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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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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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Calibration of traffic flow models under adverse weather and application in mesoscopic network simulation [PDF]
, 2013 The weather-sensitive traffic estimation and prediction system (TrEPS) aims for accurate estimation and prediction of the traffic states under inclement weather conditions.
Alfelor, Roemer M. +4 more
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Effect of Time Intervals on K-nearest Neighbors Model for Short-term Traffic Flow Prediction
Promet (Zagreb), 2019 The accuracy and reliability in predicting short-term traffic flow is important. The K-nearest neighbors (K-NN) approach has been widely used as a nonparametric model for traffic flow prediction.
Zhao Liu +6 more
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Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data [PDF]
Sensors, 2021 Traffic speed prediction plays an important role in intelligent transportation systems, and many approaches have been proposed over recent decades. In recent years, methods using graph convolutional networks (GCNs) have been more promising, which can extract the spatiality of traffic networks and achieve a better prediction performance than others ...
Duanyang Liu +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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Complexity, 2021 Traffic flow prediction plays an important role in intelligent transportation system (ITS). However, due to the randomness and complex periodicity of traffic flow data, traditional prediction models often fail to achieve good results.
Yang Yu, Qiang Shang, Tian Xie
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A Deep Learning Approach for Short-Term Airport Traffic Flow Prediction
Aerospace, 2021 Airport traffic flow prediction is a fundamental research topic in the field of air traffic flow management. Most existing works focus on the single airport traffic flow prediction with temporal dynamics but fail to consider the influence of the ...
Zhen Yan, Hongyu Yang, Fan Li, Yi Lin
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IEEE Access, 2019 Accurate short-term traffic forecasts help people choose transportation and travel time. Through the query data, many models for traffic flow prediction have neglected the temporal and spatial correlation of traffic flow, so that the prediction accuracy ...
Guowen Dai, Changxi Ma, Xuecai Xu
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