HOTSPOTS DETECTION FROM TRAJECTORY DATA BASED ON SPATIOTEMPORAL DATA FIELD CLUSTERING

9 citations as recorded by crossref.

1. Identifying Urban Traveling Hotspots Using an Interaction-Based Spatio-Temporal Data Field and Trajectory Data: A Case Study within the Sixth Ring Road of Beijing D. Yi et al.
2. Identify and Delimitate Urban Hotspot Areas Using a Network-Based Spatiotemporal Field Clustering Method Z. Xia et al.
3. Investigation on the Status Quo of Shared Bicycles in Wenzhou and Analysis of Travel Characteristics Y. Zhang
4. Analysis of spatio-temporal distribution characteristics of passenger travel behaviour based on online ride-sharing trajectory data X. Dong et al.
5. Travel Time Variability in Urban Mobility: Exploring Transportation System Reliability Performance Using Ridesharing Data Y. Sun & Y. Chen
6. An Urban Community Discovery Method from a Line Graph Perspective Based on Trajectory Data C. Wang et al.
7. A Trajectory Clustering Method Based on Moving Index Analysis and Modeling Y. Yang et al.
8. A Two-Phase Clustering Approach for Urban Hotspot Detection With Spatiotemporal and Network Constraints F. Li et al.
9. Discovery of arbitrarily shaped significant clusters in spatial point data with noise J. Huang & J. Tang