Using Connected & Automated Vehicle (CAV) Data to Enhance and Optimize Freeway Operations Strategies, Algorithms, and Performance Measures
- Jan 10, 2019
- Focus Area
- Transportation Systems Management & Operations
- Submitting On Behalf Of
- TRB Committee on Freeway Operations
- Urgency
- Important - Medium Priority
- Cost
- $500,000 - 749,000
- Timeframe
- 1 - 2 years
- Type of Research
- Full Research Project
- Date Posted
- Jan 10, 2019
- Status
- Funded
Research Description
The main objective of this research is to develop and demonstate a framework for how to utilize the information from CAVs to enhance and optimize freeway operations strategies, algorithms and performance measures.
This research will focus on how CAV data can be used to augment how existing operational strategies are used and performance analyzed. The research will provide examples of how an operational strategy (e.g., ramp metering) could change with the use of only CAV data or the fusion of CAV data with existing sources of data typically being used by a traffic management system. This research will also cover how CAV data can be effectively utilized alone and in combination with other existing sources of data to provide reliable estimates of performance measures.
Additional Supporting Information
The findings from this research will help agencies determine how to better use new data sources from CAVs to better operate freeways and to help develop operational strategies for freeway corridors. This research will demonstrate how CAV data can be used and leveraged to improve traffic management systems.
- Submitted By
- Thomas Jacobs
- Center for Advanced Transportation Technology
- 301-405-7328
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