Algorithmic and visual analysis of spatiotemporal stops in movement data

  • Authors:
  • Peter Bak;Eli Packer;Harold J. Ship;Dolev Dotan

  • Affiliations:
  • IBM Research, Haifa, Israel;IBM Research, Haifa, Israel;IBM Research, Haifa, Israel;IBM Research, Haifa, Israel

  • Venue:
  • Proceedings of the 20th International Conference on Advances in Geographic Information Systems
  • Year:
  • 2012

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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.