Gold Rush for Transportation Data

Massive amounts of traffic- related information are being generated every second by road operators and users alike. The term “big data” derives from the sheer amount and complexity of available raw data, and its potential value is emerging throughout the intelligent transportation system community. Data mining, a process that identifies useful patterns in the data is at the forefront of capturing this value. It is also about gaining efficiencies in planning by pointing to patterns of recurring congestion on a level that may not have been discovered otherwise. From that point, predictive analytics can support improved, proactive traffic operations. But for data mining to be useful, highway authorities must tap into new and unconventional data sources such as vehicle probe and telemetry data, as well as other ‘user generated’ data needs to be collected and mined. The article discusses data warehouses, where standardized raw data amalgamated from multiple information sources, must be used to resolve any semantic discrepancies in data collected to preserve, annotate, and archive historical data.

• Record URL:
  http://www.itsinternational.com/categories/classification-data-collection/features/data-goldmines-offer-rich-pickings/
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/35183091
• Supplemental Notes:
  • This Article was Published Online with the Title: Data Goldmines Offer Rich Pickings.
• Authors:
  • Murphy, Sean
  • Guan, Adrian
  • Son, Patrick
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Print
• Features: Photos;
• Pagination: pp 49-50
• Serial:
  • ITS International
  • Volume: 19
  • Issue Number: 3
  • Publisher: Route One Publishing Limited
  • ISSN: 1463-6344
  • Serial URL: http://www.itsinternational.com

Subject/Index Terms

• TRT Terms: Data collection; Data mining; Highway operations; Intelligent transportation systems; Probe vehicles; Traffic congestion; Traffic data
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01491936
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2013 1:06PM