OD Data Fusion

This paper has examined a number of issues that could arise in matrix estimation including the choice of objective function and the impact of data variability. The paper has explored and illustrated different approaches to characterizing and modeling data variability, including covariance between count sites and through Bayesian Monte Carlo Markov Chain (MCMC) hierarchical modeling, for avoiding the need for simplifying assumptions about probability distributions. A major innovation in the ‘origin-destination (OD) fusion’ methodology is the specific consideration of the uncertainty in the input data (Prior matrix, survey data) and the derivation of a Posterior matrix and its associated uncertainty. This approach allows an estimate of the improvement in reliability or precision that is gained from the fusion process. From this feature of measuring reliability, the potential to measure the value of new data sources is gained, not only the value of extra traffic count sites but also a wider range of data sources, including automatic number plate recognition (ANPR) and global positioning system (GPS)-based instruments.

• Record URL:
  https://aetransport.org/past-etc-papers/conference-papers-pre-2009/conference-papers-2010
• Corporate Authors:

  Association for European Transport (AET)

  1 Vernon Mews, Vernon Street, West Kensington
  London W14 0RL,    
• Authors:
  • Skrobanski, G
  • Logie, M
  • Black, I
  • Fearon, J
  • Gilliam, C
• Conference:
  • European Transport Conference, 2010
  • Location: Glasgow Scotland, United Kingdom
  • Date: 2010-10-11 to 2010-10-13
• Publication Date: 2010

Language

• English

Media Info

• Media Type: Digital/other
• Features: Bibliography; Figures; Maps; Tables;
• Pagination: 24p
• Monograph Title: European Transport Conference, 2010 Proceedings

Subject/Index Terms

• TRT Terms: Data fusion; Global Positioning System; Markov chains; Monte Carlo method; Traffic counts; Trip matrices; Uncertainty
• Uncontrolled Terms: License plate recognition
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01353863
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 19 2011 12:52PM