Spatial–temporal attention fusion for traffic speed prediction
Sign Up to like & getrecommendations! Published in 2022 at "Soft Computing"
DOI: 10.1007/s00500-021-06521-7
Abstract: Accurate vehicle speed prediction is of great significance to the urban traffic intelligent control system. However, in terms of traffic speed prediction, the modules that integrate temporal and spatial features in the existing traffic speed… read more here.
Keywords: speed; traffic speed; prediction; term ... See more keywords
Investigating long-term vehicle speed prediction based on GA-BP algorithms and the road-traffic environment
Sign Up to like & getrecommendations! Published in 2020 at "Science China Information Sciences"
DOI: 10.1007/s11432-019-2792-9
Abstract: Dear editor, Effective and accurate long-term speed prediction is crucial for intelligent transportation and automobile intelligent energy management systems of intelligent connected vehicles. These predictions have important research value and broad application prospects including widespread… read more here.
Keywords: traffic; vehicle; road; speed prediction ... See more keywords
Short-term wind speed prediction using Extended Kalman filter and machine learning
Sign Up to like & getrecommendations! Published in 2020 at "Energy Reports"
DOI: 10.1016/j.egyr.2020.12.020
Abstract: Abstract Wind speed prediction could play an important role in improving the performance of wind turbine control and condition monitoring. For example, by predicting or forecasting the upcoming wind in advance, fluctuations in wind power… read more here.
Keywords: speed prediction; wind speed; extended kalman; using extended ... See more keywords
Wind speed behaviors feather analysis and its utilization on wind speed prediction using 3D-CNN
Sign Up to like & getrecommendations! Published in 2021 at "Energy"
DOI: 10.1016/j.energy.2021.121523
Abstract: Abstract Aiming at the local wind speed prediction of each turbine in the wind farm, a wind speed prediction method based on feature analysis of wind speed behavior coupling the time characteristics and spatial feature… read more here.
Keywords: speed; speed prediction; wind speed; feature ... See more keywords
A novel method based on Weibull distribution for short-term wind speed prediction
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Hydrogen Energy"
DOI: 10.1016/j.ijhydene.2017.03.006
Abstract: Abstract Wind speed prediction (WSP) is essential in order to predict and analyze efficiency and performance of wind-based electricity generation systems. More accurate WSP may provide better opportunities to design and build more efficient and… read more here.
Keywords: speed prediction; speed; short term; wind speed ... See more keywords
Hybrid Deep Learning Approach for Traffic Speed Prediction.
Sign Up to like & getrecommendations! Published in 2022 at "Big data"
DOI: 10.1089/big.2021.0251
Abstract: Traffic speed prediction plays a fundamental role in traffic management and driving route planning. However, timely accurate traffic speed prediction is challenging as it is affected by complex spatial and temporal correlations. Most existing works… read more here.
Keywords: traffic; speed prediction; layer; traffic speed ... See more keywords
Truck Traffic Speed Prediction Under Non-Recurrent Congestion: Based on Optimized Deep Learning Algorithms and GPS Data
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2890414
Abstract: Due to the restriction of traffic management measure in large cities, large heavy-haul trucks can only travel on the circuits and expressways around the city, which often causes congestion in these areas. It is necessary… read more here.
Keywords: speed; non recurrent; speed prediction; traffic speed ... See more keywords
Utilizing Attention-Based Multi-Encoder-Decoder Neural Networks for Freeway Traffic Speed Prediction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3108939
Abstract: Speed prediction is a crucial yet complicated task for intelligent transportation systems. The challenge derives from the complex spatiotemporal dependencies of traffic parameters. In the past few years, deep neural networks have achieved the best… read more here.
Keywords: speed; speed prediction; traffic; traffic speed ... See more keywords
Learning Temporal and Spatial Correlations Jointly: A Unified Framework for Wind Speed Prediction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2019.2897136
Abstract: Leveraging both temporal and spatial correlations to predict wind speed remains one of the most challenging and less studied areas of wind speed prediction. In this paper, the problem of predicting wind speeds for multiple… read more here.
Keywords: speed; temporal spatial; speed prediction; spatial correlations ... See more keywords
Sample Selection Based on Active Learning for Short-Term Wind Speed Prediction
Sign Up to like & getrecommendations! Published in 2019 at "Energies"
DOI: 10.3390/en12030337
Abstract: Wind speed prediction is the key to wind power prediction, which is very important to guarantee the security and stability of the power system. Due to dramatic changes in wind speed, it needs high-frequency sampling… read more here.
Keywords: speed prediction; prediction; active learning; wind speed ... See more keywords
MGCAF: A Novel Multigraph Cross-Attention Fusion Method for Traffic Speed Prediction
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph192114490
Abstract: Traffic speed prediction is an essential part of urban transportation systems that contributes to minimizing the environmental pollution caused by vehicle emissions. The existing traffic speed prediction studies have achieved good results, but some challenges… read more here.
Keywords: traffic; speed prediction; multigraph; traffic speed ... See more keywords