Best Practices for Data Fusion of Probe and Point Detector Data

Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and comprehensive information than that provided by any individual data source. In a transportation context, transportation agencies are seeking to define the types and characteristics of data for entry into data fusion engines. Research is needed to identify the challenges, issues, and proven or potential practices for performing data fusion to measure or forecast travel time, speed, reliability, and other aspects of operational performance on roadway networks. Traffic datasets of interest include point sensors; Bluetooth; data from Global Positioning System (GPS) devices embedded in smartphones, personal navigation devices, taxis, and fleets; third-party travel time data; and emerging connected vehicle (CV) data sets. Research that enables better knowledge of the network state could help improve traffic management and planning decisions to address impacts of recurrent and non-recurrent (e.g., incident-related) congestion. Improved network state estimates could also enhance safety outcomes by identifying locations with high crash rates and anomalous traffic flow conditions. The objectives of this research are to: (1) Develop a process to (a) identify specific objectives for data fusion; (b) identify data sources available for fusion; (c) select the most suitable data for fusion; and (d) facilitate the fusion itself. (2) Develop guidelines for transportation agencies to facilitate data fusion, improve data reporting, and ultimately improve traffic management.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5135

Language

• English

Project

• Status: Completed
• Funding: $200000
• Contract Numbers:

  Project 08-157

• Sponsor Organizations:

  National Cooperative Highway Research Program

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC  United States  20001

  American Association of State Highway and Transportation Officials (AASHTO)

  444 North Capitol Street, NW
  Washington, DC  United States  20001

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Jared, David

• Performing Organizations:

  Michael L Pack, LLC

  10779 Judy Lane
  Columbia, MD  United States  21044
• Principal Investigators:

  Pack, Michael

• Start Date: 20220907
• Expected Completion Date: 20240607
• Actual Completion Date: 20240607

Subject/Index Terms

• TRT Terms: Algorithms; Best practices; Data fusion; Floating car data; Guidelines; Highway safety; Highway traffic control; Probe vehicles; Traffic data; Traffic flow
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors;

Filing Info

• Accession Number: 01772924
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 08-157
• Files: TRB, RIP
• Created Date: May 25 2021 4:33PM