Results 31 to 40 of about 10,094,639 (283)
Long-term forecasting oriented to urban expressway traffic situation
Long-term traffic forecasting has become a basic and critical work in the research on road traffic congestion. It plays an important role in alleviating road traffic congestion and improving traffic management quality.
Fei Su +4 more
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ANN based short-term traffic flow forecasting in undivided two lane highway
Short term traffic forecasting is one of the important fields of study in the transportation domain. Short term traffic forecasting is very useful to develop a more advanced transportation system to control traffic signals and avoid congestions.
Bharti Sharma +4 more
doaj +1 more source
Directing against the shortcoming of low accuracy in short-term traffic flow prediction caused by strong traffic flow fluctuation, a novel method for short-term traffic forecasting based on the combination of improved grey Verhulst prediction algorithm ...
Darong Huang, Zhenping Deng, Bo Mi
doaj +1 more source
Research on Short-Term Passenger Flow Prediction of LSTM Rail Transit Based on Wavelet Denoising
Urban rail transit offers advantages such as high safety, energy efficiency, and environmental friendliness. With cities rapidly expanding, travelers are increasingly using rail systems, heightening demands for passenger capacity and efficiency while ...
Qingliang Zhao +3 more
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model
Real-time and accurate short-term traffic flow forecasting can provide important decision support for traffic guidance and management. To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex ...
Junxi Zhang +3 more
doaj +1 more source
A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction
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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The microbiome in human skin aging
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana +3 more
wiley +1 more source
Neural networks have been applied for short-term traffic flow forecasting with reasonable accuracy. Past traffic flow data, which has been captured by on-road sensors, is used as the inputs of neural networks.
Chan, Kit Yan +5 more
core +2 more sources
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
City-Wide Traffic Flow Forecasting Using a Deep Convolutional Neural Network
City-wide traffic flow forecasting is a significant function of the Intelligent Transport System (ITS), which plays an important role in city traffic management and public travel safety.
Shangyu Sun, Huayi Wu, Longgang Xiang
doaj +1 more source

