29 citations · 38 across the 2 of their papers we have counts for
5 papers
Forecast Network-Wide Traffic States for Multiple Steps Ahead: A Deep Learning Approach Considering Dynamic Non-Local Spatial Correlation and Non-Stationary Temporal Dependency
Xinglei Wang, Xuefeng Guan, Jun Cao +2
Obtaining accurate information about future traffic flows of all links in a traffic network is of great importance for traffic management and control applications. This research st…
Optimizing and accelerating space-time Ripley's K function based on Apache Spark for distributed spatiotemporal point pattern analysis
Yuan Wang, Zhipeng Gui, Huayi Wu +3
With increasing point of interest (POI) datasets available with fine-grained spatial and temporal attributes, space-time Ripley's K function has been regarded as a powerful approac…
A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network
Na Zhang, Xuefeng Guan, Jun Cao +2
Traffic forecasting is crucial for urban traffic management and guidance. However, existing methods rarely exploit the time-frequency properties of traffic speed observations, and…
Big enterprise registration data imputation: Supporting spatiotemporal analysis of industries in China
Fa Li, Zhipeng Gui, Huayi Wu +4
Big, fine-grained enterprise registration data that includes time and location information enables us to quantitatively analyze, visualize, and understand the patterns of industrie…
Global-Scale Resource Survey and Performance Monitoring of Public OGC Web Map Services
Zhipeng Gui, Jun Cao, Xiaojing Liu +2
One of the most widely-implemented service standards provided by the Open Geospatial Consortium (OGC) to the user community is the Web Map Service (WMS). WMS is widely employed glo…