Spatio-temporal traffic video data archiving and retrieval system

Hang Yue, Laurence R. Rilett, Peter Z. Revesz

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

This paper presents a transportation spatio-temporal system that efficiently converts traffic video data into vehicular motion information in spatio-temporal databases for a variety of transportation applications. The proposed transportation spatio-temporal system interpolates the vehicle trajectory data (i.e., time, location, and speed), which are extracted from video, and integrates them with spatial road information for storage of dynamic transportation environments. The proposed transportation spatio-temporal system can mitigate data storage and retrieval issues related to storing large amounts of traffic video. Moreover, users can manage and operate multiform and multidimensional traffic data in a spatio-temporal transportation environment. The proposed approach is demonstrated for typical transportation applications. The experimental results show that the proposed transportation spatio-temporal system has excellent potential for addressing issues related to storage of large amounts of traffic video data.

Original languageEnglish (US)
Pages (from-to)59-94
Number of pages36
JournalGeoInformatica
Volume20
Issue number1
DOIs
StatePublished - Jan 1 2016

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Keywords

  • Cubic-spline
  • GIS
  • Local polynomial regression
  • Spatio-temporal database
  • Traffic video
  • Vehicular speed interpolation

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

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