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.
Language
- English
Project
- Status: Active
- Funding: $395940
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Contract Numbers:
Project 03-128
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Project Managers:
McKenney, Christopher
- Performing Organizations: Herndon, VA United States 20171
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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