Experimental Implementation of Big Data Analytics for Traffic Incident Management
- Jan 10, 2019
- Archived
- Focus Area
- Transportation Systems Management & Operations
- Submitting On Behalf Of
- N/A
- Urgency
- Useful - Low Priority
- Cost
- $250,000 - 499,000
- Timeframe
- 1 - 2 years
- Type of Research
- Full Research Project
- Date Posted
- Jan 10, 2019
- Status
- Not Funded
Research Description
The objective of this project is to demonstrate the feasibility and value of the Big Data approach to improve TIM. The project will demonstrate the scale and variety of the data needed, the data sources that can be leveraged, the Big Data concepts (e.g., cloud data storage, open data, data management), and the Big Data analytics techniques through real-world data, examples, and case studies.
Additional Supporting Information
This would be a follow on to recently completed project NCHRP 17-75, Leveraging Big Data to Improve Traffic Incident Management
- Submitted By
- Thomas Jacobs
- Center for Advanced Transportation Technology
- 301-405-7328
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