Hybrid Traffic Data Collection Roadmap: Objectives and Methods

Traffic data is used to estimate current traffic conditions so that travelers and agencies can make better decisions about how to use and manage the transportation network. This research explores the fusion of probe data (vehicle speed and direction) with loop data (density, speed, and count) in the context of producing overall network speed and travel time estimates. Speed and travel time estimates are useful in many circumstances, but current system control strategies (ramp metering, for example) require density data. While it is difficult to significantly increase the quantity of loop detectors on state highways, the penetration rate of probe data is continually increasing. Multiple data sources with various characteristics were fused by running probe and loop data through the Mobile Millennium highway model, generating velocity maps and travel times. The performance of data sources both individually and when fused was evaluated. It was found that the highest quality estimates are achieved by combining probe data and loop detector data.

• Record URL:
  http://bayen.eecs.berkeley.edu/sites/default/files/techreps/TO2%20final%20report%20-%20Hybrid%20Data%20Roadmap.pdf
• Record URL:
  https://merritt.cdlib.org/d/ark%3A%2F13030%2Fm5cj9tn5/1/producer%2F893132233.pdf
• Record URL:
  http://www.escholarship.org/uc/item/1t95h8s2.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/893132233
• Supplemental Notes:
  • This is a companion to PATH report UCB-ITS-PRR-2013-1, Hybrid Traffic Data Collection Roadmap: Pilot Procurement of Third-Party Traffic Data.
• Corporate Authors:

  University of California, Berkeley

  California PATH Program, Institute of Transportation Studies
  Richmond Field Station, 1357 South 46th Street
  Richmond, CA  United States  94804-4648

  University of California, Berkeley

  Institute of Transportation Studies
  McLaughlin Hall
  Berkeley, CA  United States  94720

  California Department of Transportation

  Division of Traffic Operations, 1120 N Street
  Sacramento, CA  United States  95814
• Authors:
  • Bayen, Alexandre M
  • 0000-0002-6697-222X
  • Sharafsaleh, Mohammad
  • Patire, Anthony D
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 236p
• Serial:
  • PATH Research Report
  • Publisher: University of California, Berkeley
  • ISSN: 1055-1425

Subject/Index Terms

• TRT Terms: Automatic data collection systems; Contracting out; Data fusion; Data quality; Global Positioning System; Loop detectors; Probe vehicles; Probes (Measuring devices); Speed; Traffic data; Traffic models; Travel time
• Identifier Terms: Mobile Millennium
• Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01543105
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Report/Paper Numbers: UCB-ITS-PRR-2013-2
• Contract Numbers: Task Order 2
• Files: CALTRANS, TRIS, ATRI, STATEDOT
• Created Date: Nov 5 2014 8:53AM