Abstract
Analyzing the occurrence of stops in transportation systems is an important challenge to better understand traffic congestion problems and find corresponding solutions. We propose an efficient system to analyze stop occurrences. It consists of two major parts: (1) an efficient clustering algorithm to partition the stops into groups based on strongly connected components (2) an interactive visual representation of the results to provide insights to domain experts.
| Original language | English |
|---|---|
| Title of host publication | 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012 |
| Pages | 462-465 |
| Number of pages | 4 |
| DOIs | |
| State | Published - 2012 |
| Externally published | Yes |
| Event | 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012 - Redondo Beach, CA, United States Duration: 6 Nov 2012 → 9 Nov 2012 |
Publication series
| Name | GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems |
|---|
Conference
| Conference | 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012 |
|---|---|
| Country/Territory | United States |
| City | Redondo Beach, CA |
| Period | 6/11/12 → 9/11/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- interactive visualization
- movement analysis
- spatiotemporal
ASJC Scopus subject areas
- Earth-Surface Processes
- Computer Science Applications
- Modeling and Simulation
- Computer Graphics and Computer-Aided Design
- Information Systems
Fingerprint
Dive into the research topics of 'Algorithmic and visual analysis of spatiotemporal stops in movement data'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver