Realizing the Promise of Intelligent Transportation Systems (ITS) Data Archives

Intelligent transportation systems (ITS) are playing increasingly important roles in addressing traffic congestion, safety and environmental concerns. Archiving and reusing the vast amounts of data initially collected by ITS for real-time operations holds the potential to significantly improve a wide range of transportation analyses. Effectively archiving and deriving information from ITS data requires the application of technology and algorithms recently developed and proven in research. This paper describes and summarizes this research, particularly in areas such as data warehousing, complex systems development, traffic data aggregation, traffic data imputation, and traffic data characterization. The paper concludes with a list of key future research needs required to allow expanded use of ITS data archives.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/15472450
• Authors:
  • Smith, Brian Lee
  • Venkatanarayana, Ramkumar
• Publication Date: 2005-10

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 175-185
• Serial:
  • Journal of Intelligent Transportation Systems
  • Volume: 9
  • Issue Number: 4
  • Publisher: Taylor & Francis
  • ISSN: 1547-2450
  • EISSN: 1547-2442
  • Serial URL: http://www.tandfonline.com/loi/gits20

Subject/Index Terms

• TRT Terms: Algorithms; Data storage; Data warehouses; Information management; Information processing; Intelligent transportation systems; Literature reviews; Technology; Traffic data
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01010517
• Record Type: Publication
• Files: TRIS
• Created Date: Nov 5 2005 11:45PM