A Real-Time Data Fusion Framework for Corridor Travel Time Estimation with Multiple Data Sources

Due to technological improvements in recent years, the available independent data sources for reporting travel time on freeway and arterial corridors has increased. Combining and fusing data from different sources and turning data into useful information is an important part of any integrated transportation system. A successful travel time fusion scheme improves real-time data coverage and accuracy, and is capable of reporting reliability by quantifying underlying uncertainties. This paper presents a multi-source real-time travel time fusion framework, based on Dampster-Shafer evidential theory (D-S theory). Data source credibility and real-time data variance extracted for each heterogeneous data sources are considered as time-dependent variables in the proposed model. The model is independent of underlying technology behind each sources and the number of input sources is not limited. An application of the fusion framework by using real-world data collected from three sources on a Maryland freeway corridor is presented and discussed. The results from case study show that the fusion scheme is successful in merging data along with reliability indicator, and its resolution can be adjusted with respect to the intended applications.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ABJ30 Standing Committee on Urban Transportation Data and Information Systems.
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Zhang, Xuechi
    • Hamedi, Masoud
    • Haghani, Ali
  • Conference:
  • Date: 2017

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References; Tables;
  • Pagination: 19p
  • Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01627661
  • Record Type: Publication
  • Report/Paper Numbers: 17-04974
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 27 2017 5:12PM