Results 51 to 60 of about 465,930 (166)
A Stepwise Spatio-Temporal Flow Clustering Method for Discovering Mobility Trends
IEEE Access, 2018 Massive flows that represent the individual level of movements and communications can be easily obtained in the age of big data. Generalizing spatial and temporal flow patterns from such data is essential to demonstrate spatial connections and mobility ...
Xin Yao +5 more
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Spatial Performance Indicators for Traffic Flow Prediction
Applied SciencesTraffic flow prediction, crucial for traffic management, relies on spatial and temporal data to achieve high accuracy. However, standard performance metrics only measure the average prediction errors and overlook the spatiotemporal aspects.
Muhammad Farhan Fathurrahman +1 more
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MathematicsAccurate traffic flow prediction in road networks is essential for intelligent transportation systems (ITS). Since traffic data are collected from the road network with spatial topological and time series sequences, the traffic flow prediction is ...
Yajun Ge +7 more
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A deep learning short-term traffic flow prediction method considering spatial-temporal association
智能科学与技术学报, 2021 The short-term traffic flow prediction is too dependent on the time correlation characteristics, which due to the problems that the correlation factors of the spatial correlation characteristics are too complicated and difficult to quantify.In response ...
Yang ZHANG, Yue HU, Dongrong XIN
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A short-term traffic flow prediction network using filter-genetic feature selection method
Urban LifelineAccurate selection of spatial-temporal features is key to the short-term traffic flow prediction model outputting higher quality results, which can effectively reduce the difficulty of constructing the prediction model.
Bo Wang +4 more
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Scientific Reports, 2017 Numerous irregular flow structures exist in the complicated multiphase flow and result in lots of disparate spatial dynamical flow behaviors. The vertical oil-water slug flow continually attracts plenty of research interests on account of its significant
Zhong-Ke Gao +6 more
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Ecological IndicatorsWood is one of the most important provisioning ecosystem services (ES) of forest, crucial for maintaining the welfare and wellbeing of the population. This study maps the spatial mismatches between wood ES supply and demand across the European continent,
Anita Poturalska +2 more
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Spatio-Temporal Feature Engineering for Deep Learning Models in Traffic Flow Forecasting
IEEE AccessIn the past decade, modern transportation systems have employed various cutting-edge deep-learning approaches for traffic flow prediction. Due to its significant temporal correlations, researchers have mainly focused on extracting temporal features from ...
Hongfan Mu +2 more
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Research on Big Data Visualization Methods of Urban Rail Transit Passenger Flow
Chengshi guidao jiaotong yanjiuObjectiveThe existing static chart analysis methods fail to intuitively demonstrate the time-variability of passenger flow data with time or the spatial asymmetry varying with spatial attributes.
Zheng JIANG, Xikui LYU, Xinhua LIU
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Disentangling spatial and flow anisotropy
, 2004 18 pages, 5 figures, in this published version introduction and conclusion were rewritten in order to better stress the motivation and make links to existing results, actual results are not ...
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