CRESTA - Consortium on Remote Sensing of Freight Flows in Congested Border Crossings and Work Zones
CRESTA will investigate and advance the potential of integrating present and future commercial remote sensing capabilities (CRS) with positioning, timing, and navigation (PNT), intelligent transportation systems (ITS), and spatial information technologies for improved efficiency in freight flow at borders and large construction sites. CRESTA will team w/ public & private partners and focus its efforts on demonstrating the use of various data sources to provide information that allows the documentation and understanding of factors influencing truck travel times, and on determining effective planning and operational strategies to mitigate the effects of congestion on truck movements at borders crossing an around construction sites.
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- Record URL:
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Supplemental Notes:
- Program Information: Advanced Research, Commercial Remote Sensing
Language
- English
Project
- Status: Completed
- Funding: $1486990.00
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Contract Numbers:
DTOS59-07-H-0001
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Sponsor Organizations:
Research and Innovative Technology Administration
Office of Research, Development, and Technology
1200 New Jersey Avenue, SE
Washington, DC 20590 -
Project Managers:
Singh, Caesar
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Performing Organizations:
Ohio State University, Columbus
Transportation Research Center
2070 Neil Avenue
Columbus, OH United States 43210 -
Principal Investigators:
McCord, Mark
- Start Date: 20070701
- Expected Completion Date: 0
- Actual Completion Date: 20100731
- Source Data: RiP Project 35409
Subject/Index Terms
- TRT Terms: Border regions; Freight traffic; Intelligent transportation systems; Remote sensing; Traffic congestion; Work zone safety; Work zone traffic control
- Uncontrolled Terms: Freight flow
- Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors;
Filing Info
- Accession Number: 01494541
- Record Type: Research project
- Source Agency: Department of Transportation
- Contract Numbers: DTOS59-07-H-0001
- Files: RIP
- Created Date: Sep 27 2013 1:00AM