Hybrid Traffic Data Collection Roadmap: Pilot Procurement of Third-Party Traffic Data

This research investigates the feasibility and the business case for purchasing third‐party probe data and fusing it with the California Department of Transportation's (Caltrans) existing data for the purpose of estimating travel times. The intent is to demonstrate an efficient and cost-effective use of alternative traffic data sources to complement the detection systems currently installed and operated by Caltrans. The authors found that unaggregated probe data is available and can be procured successfully through an RFP process. Commercially available GPS point-speed data is usable for the intended application (speed data and travel times over a highway network). The quality of purchased probe data can be measured and compared to ground truth. Probe data can be successfully fused with loop detector data, and meaningful comparisons can be assessed. The accuracy of traffic estimation can be improved by combining probe data with loop detector data; even sparse probe data is useful. The quantitative and graphical results of the research give confidence in both the modeling approach to roadway estimation and the effectiveness of the Mobile Millennium highway model for assessing and fusing procured data.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 298p
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01543106
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: UCB-ITS-PRR-2013-1
  • Contract Numbers: Task Order 1
  • Files: CALTRANS, TRIS, ATRI, STATEDOT
  • Created Date: Nov 5 2014 8:54AM