Algorithmic and visual analysis of spatiotemporal stops in movement data

Peter Bak, Eli Packer, Harold J. Ship, Dolev Dotan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012
Pages462-465
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012 - Redondo Beach, CA, United States
Duration: 6 Nov 20129 Nov 2012

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012
Country/TerritoryUnited States
CityRedondo Beach, CA
Period6/11/129/11/12

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