Business Intelligence Techniques for Transportation Agency Decision Making

The objective of this project is to catalog new techniques to extract actionable information from traditional and new data sources that transportation agencies can employ to enhance their decision-making processes. The project will be based largely on identifying promising business intelligence practices from the private sector and exploring their utility using transportation agency and program management scenarios. These scenarios should cover a broad range of agency management levels and functions, including system operations. Task 1. Carry out project management activities, including holding a web-enabled kick-off meeting, preparing and submitting monthly and quarterly progress reports, and communicating with the research team and the NCHRP. Task 2. Conduct a comprehensive review of literature pertaining to industry standards and best practices in the adoption and use of business intelligence (BI) and business analytics (BA) outside of transportation. Supplement the literature review with interviews of innovators and leaders from many industries. Task 3. Conduct a comprehensive review of transportation literature to identify common agency decision-making processes and capabilities in multiple domains. Supplement the literature review with interviews of selected individuals at various levels of decision-making. Task 4.Develop a catalog of BI strategies, techniques, and tools and summarize sources for traditional and non-traditional data. Organize the types and levels of agency decision making along with the respective data needs. Create a suite of decision-making scenarios with good value BI options by matching between the two lists. Task 5. Develop and interim report and meet with the NCHRP to review it. The interim report will include: (1) introduction, (2) research objectives and approach, (3) findings from Tasks 2 through 4, (4) definition of BI adoption scenarios and pathway requirements, (5) activities planned and timeline for remaining tasks, (6) annotated outline for the Plan for Implementation of Research products, (7) annotated outline for the Final Report, and (8) bibliography. Task 6. Conduct a half-day workshop bringing together individuals at the executive and program levels from multimodal agencies. Preparatory material, including a list of potential attendees, will be submitted at an appropriate time prior to the workshop. Task 7. Apply the findings from the workshop to (1) refine the BI adoption pathways for the decision-making scenarios and (2) develop case studies for high-value BI adoption. Task 8. Develop the final work products, including the final report, executive summary, customizable briefing of research results, implementation plan technical memorandum, and research recommendations technical memorandum. Following review by the NCHRP, revise the final work products.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=4352

Language

• English

Project

• Status: Active
• Funding: $395940
• Contract Numbers:

  Project 03-128

• 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:

  McKenney, Christopher

• Performing Organizations:

  Applied Engineering Management Corporation

  Herndon, VA  United States  20171
• Principal Investigators:

  Shah, Vaishali

• Start Date: 20180620
• Expected Completion Date: 20210930
• Actual Completion Date: 0
• Source Data: RiP Project 41595

Subject/Index Terms

• TRT Terms: Best practices; Business practices; Data mining; Decision making; Highway operations; Intelligence; Life cycle analysis; Multimodal transportation; Transportation departments; Transportation planning; Transportation system management
• Subject Areas: Administration and Management; Data and Information Technology; Highways; Planning and Forecasting;

Filing Info

• Accession Number: 01634644
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 03-128
• Files: TRB, RIP
• Created Date: May 12 2017 10:22AM