Indirect Validation of Probe Speed Data on Arterial Corridors

This study aimed to estimate the accuracy of probe speed data on arterial corridors on the basis of roadway geometric attributes and functional classification. It was assumed that functional class (medium and low) along with other road characteristics (such as weighted average of the annual average daily traffic, average signal density, average access point density, and average speed) were available as correlation factors to estimate the accuracy of probe traffic data. This study tested these factors as predictors of the fidelity of probe traffic data by using the results of an extensive validation exercise. This study showed strong correlations between these geometric attributes and the accuracy of probe data when they were assessed by using average absolute speed error. Linear models were regressed to existing data to estimate appropriate models for medium- and low-type arterial corridors. The proposed models for medium- and low-type arterials were validated further on the basis of the results of a slowdown analysis. These models can be used to predict the accuracy of probe data indirectly in medium and low types of arterial corridors.

• Record URL:
  https://doi.org/10.3141/2643-12
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309442015
• Authors:
  • Eshragh, Sepideh
  • Young, Stanley E
  • Sharifi, Elham
  • Hamedi, Masoud
  • Sadabadi, Kaveh Farokhi
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 105–111
• Monograph Title: Data and Methods to Understand Travel
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2643
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Arterial highways; Probes (Measuring devices); Speed data; Traffic characteristics
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01627570
• Record Type: Publication
• ISBN: 9780309442015
• Report/Paper Numbers: 17-02052
• Files: TRIS, TRB, ATRI
• Created Date: Feb 27 2017 5:12PM