A New Multi-Source Traffic Data Integration Framework for Traffic Analysis and Performance Measurement

This paper proposes a traffic data integration framework that addresses the challenges of analyzing multi-source data. The framework is based on a uniform roadway referencing layer, which can support comprehensive traffic analysis based on multi-source traffic data. The authors propose an iterative map conflation algorithm and analyze traffic performance and its influential factors to evaluate travel time reliability. The traffic data integration framework presented is shown to be flexible, efficient, and extensible.

• Authors:
  • Cui, Zhiyong
  • 0000-0002-5780-4312
  • Henrickson, Kristian
  • Pu, Ziyuan
  • Guo, Ge
  • Wang, Yinhai
  • 0000-0002-4180-5628
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 6p

Subject/Index Terms

• TRT Terms: Algorithms; Data analysis; Performance measurement; Traffic data
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01714403
• Record Type: Publication
• Report/Paper Numbers: 19-02736
• Files: TRIS, TRB, ATRI
• Created Date: Aug 22 2019 12:50PM