Developing a Strategy for Imputing Missing Traffic Volume Data

Due to detector and communication malfunctions, it is inevitable that some archived data generated by intelligent transportation systems are missing or suspicious. This paper presents a comparative analysis of various algorithms for imputing missing traffic volume data in the archived data management system in Kentucky. The applicability of the techniques, as well as their reliability in terms of data requirement, is also discussed. A system-wide implementation strategy is then developed based on the algorithms' individual performance, applicability, and reliability of the data sources.

• Record URL:
  http://journals.oregondigital.org/trforum/article/viewFile/616/521
• 
• Summary URL:
  http://journals.oregondigital.org/trforum/article/view/616
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/10461469
• Authors:
  • Chen, Mei
  • Xia, Jingxin
  • Liu, Rongfang
• Publication Date: 2006

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 57-75
• Serial:
  • Journal of the Transportation Research Forum
  • Volume: 45
  • Issue Number: 3
  • Publisher: Transportation Research Forum
  • ISSN: 1046-1469
  • Serial URL: https://trforum.org/journal-of-the-trf/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Algorithms; Alternatives analysis; Case studies; Data quality; Database management systems; Information processing; Intelligent transportation systems; Reliability; Traffic data; Traffic volume
• Uncontrolled Terms: Data imputation
• Geographic Terms: Kentucky
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01042333
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 26 2007 11:53PM