Results 11 to 20 of about 5,189,325 (247)
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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A merging model for motorway traffic [PDF]
, 2006 Motorway merging has long been regarded as a major source of conflicts and congestion on motorways. Traditional studies of merging behaviour are based on gap acceptance models developed mainly for urban intersections, which tend to oversimplify the very ...
Wang, Jiao
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Traffic pattern prediction in cellular networks. [PDF]
, 2011 PhDIncreasing numbers of users together with a more use of high bit-rate services complicate radio resource management in 3G systems. In order to improve the system capacity and guarantee the QoS, a large amount of research had been carried out on radio ...
Zhang, Kejing
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Reinforcement Learning-designed LSTM for Trajectory and Traffic Flow Prediction [PDF]
, 2021 Trajectory and traffic flow prediction will play an essential role in Intelligent Transportation Systems (ITS) to enable a whole new set of applications ranging from traffic management to infotainment applications.
Karimzadeh, Mostafa +13 more
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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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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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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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Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set [PDF]
, 2020 Forecasting short-term traffic flow using historical data is a difficult goal to achieve due to the randomness of the event. Due to the lack of a solid approach to short-term traffic prediction, the researchers are still working on novel approaches. This
Erdem Doğan, Doğan, Erdem
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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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