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Developing a Strategy for Imputing Missing Traffic Volume Data

Author

Listed:
  • Chen, Mei
  • Xia, Jingxin
  • Liu, Rongfang

Abstract

Archived ITS-generated data can provide a potential resource for many long-term transportation applications. However, missing and suspicious data are inevitable due to detector and communication malfunctions. This paper presents a comparative analysis of various techniques for imputing missing traffi c 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. An implementation strategy for the Kentucky archive data management system is then developed based on the performance and the applicability/reliability analyses.

Suggested Citation

  • Chen, Mei & Xia, Jingxin & Liu, Rongfang, 2006. "Developing a Strategy for Imputing Missing Traffic Volume Data," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 45(3).
    • Handle: RePEc:ags:ndjtrf:206800
    DOI: 10.22004/ag.econ.206800
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    References listed on IDEAS

    as
    1. Chen, Mei & Liu, Xiaobo, 2005. "Using a Neural Network to Analyze the Impact of Passenger Activity on Bus Dwell Time and Travel Time," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 44(3).
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