The Portable Single Lane Traffic Counting Device
A majority of traffic counting in the U.S is performed using portable traffic counters employing a road tube system that is unsafe, difficult to operate, and unable to meet the data quality standards desired by transportation agencies. This project developed a portable traffic monitoring device for counting and Federal Highway Administration's 13 vehicle classification, the standard vehicle classification system in the U..S. The device is a video-based system that uses a combination of artificial intelligence and image processing to collect data on a single lane. The performance evaluation results indicate consistent counting and classification with more than 98% accuracy. Return on investment analysis is presented, taking into account material costs, productivity gain and collection rejection rates. The findings indicate that the developed device has the potential for wide use in the industry. There are over 100 units currently in use by transportation agencies to collect traffic monitoring data. The report is available.
Language
- English
Project
- Status: Completed
- Funding: $137000
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Contract Numbers:
Project 20-30, IDEA 216
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Sponsor Organizations:
National Cooperative Highway Research Program
Transportation Research Board
500 Fifth Street, NW
Washington, DC United States 20001Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590American Association of State Highway and Transportation Officials (AASHTO)
444 North Capitol Street, NW
Washington, DC United States 20001 -
Project Managers:
Jawed, Inam
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Performing Organizations:
Leetron Vision, LLC
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Principal Investigators:
Lee, Terry
- Start Date: 20220222
- Expected Completion Date: 0
- Actual Completion Date: 0
Subject/Index Terms
- TRT Terms: Artificial intelligence; Data collection; Image analysis; Laser radar; Neural networks; Portable equipment; Prototypes; Traffic counting; Traffic surveillance; Video
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01719641
- Record Type: Research project
- Source Agency: Transportation Research Board
- Contract Numbers: Project 20-30, IDEA 216
- Files: TRB, RIP
- Created Date: Oct 22 2019 12:09PM