Application of Big Data Approaches for Traffic Incident Management (TIM)

Big data is evolving and maturing rapidly, and much attention has been focused on the opportunities that big data may provide state departments of transportation (DOTs) in managing their transportation networks. Using big data could help state and local transportation officials achieve system reliability and safety goals, among others. However, challenges for DOTs include how to use the data and in what situations, such as how and when to access data, acquire staff resources to prepare and maintain data, or integrate data into existing or new tools for analysis. Research was needed to document issues and demonstrate the feasibility and value of big data approaches for state DOTs and other agencies to enhance operations and TIM programs. Under NCHRP Project 03-138, “Application of Big Data Approaches for Traffic Incident Management (TIM),” AEM Corporation was asked to (1) demonstrate the feasibility and practical value of big data approaches to improve TIM and (2) provide guidelines, including techniques and tools, to address the findings and recommendations of NCHRP Research Report 904. The research team developed four use cases that exhibit applications of big data in TIM, as well as guidelines on how transportation officials might anticipate and navigate known challenges.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4735

Language

• English

Project

• Status: Completed
• Funding: $490000
• Contract Numbers:

  Project 03-138

• 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:

  Rogers, William

  Wadsworth, Trey

• Performing Organizations:

  AEM Transportation

  Herndon, VA  United States 
• Principal Investigators:

  Pecheux, Kelley

• Start Date: 20200728
• Expected Completion Date: 20230328
• Actual Completion Date: 20230328

Subject/Index Terms

• TRT Terms: Data analysis; Data collection; Data files; Feasibility analysis; Implementation; Incident management; Lessons learned; Traffic incidents
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01707671
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 03-138
• Files: TRB, RIP
• Created Date: Jun 7 2019 3:44PM