A SPATIOTEMPORAL REPRESENTATION OF TIME-DEPENDENT TRAFFIC DATA FOR INTELLIGENT TRANSPORTATION SYSTEMS APPLICATIONS

In this paper we are concerned with the storage and representation of spatiotemporal traffic data required for Intelligent Transportation System applications. Several data needs, specific for Intelligent Transportation System were identified and studied such as; link data, point data, zone data, and movement data. We interfaced a Geographic Information System package (MAPINFO) with a traffic simulator (DYNASMART) to emulate the traffic data collection process from actual systems. Moreover, a special device was built based on a Global Positioning System and a Geographic Information System database and used as a probe for real-time data collection. Data fusion issues are addressed such as the use of a road matching algorithm to filter inaccurate position data. Issues of efficiently storing large quantities of collected time-dependent traffic data are also discussed; an innovative data storage approach is introduced that fits the time-dependent data to polynomial functions. Finally, the issue of visualizing time dependent data is discussed.

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 323-330

Subject/Index Terms

Filing Info

  • Accession Number: 00724748
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 14 1996 12:00AM