The Portable Single Lane Traffic Counting Device
This project will develop and test a portable single-lane traffic counting device based on LIDAR sensor and artificial intelligence video technologies. Work in Stage 1 of the project will focus on designing, developing, and testing core functions of the proposed device. The first version of the prototype with the capability of collecting LIDAR and video images will be developed. A neural network based on LIDAR and video images will be developed to detect entry of any new vehicle. A second neural network will be developed to classify vehicle based on collected videos. A second version of the prototype device will then be developed incorporating the two neural networks developed in the above tasks. Work Stage 2 will involve testing and refinement of the device under various weather and traffic conditions. Data will be collected for various traffic conditions. At least 20 such data sets will be collected. The duration of each data collection will be from 24 to 48 hours. Conditions and factors that could affect the vehicle counting and classification will be identified and strategies to address those conditions and factors will be developed. In the final stage, the mechanical design for housing and mounting will be finalized and production version of the prototype system will be built. Work on user interface and reporting will be completed. The developed prototype system will be provided to state DOTs and contractors for evaluation and their feedback will be sought for further improvement and refinement of the system. The final report will provide all the relevant data, findings, and conclusions along with recommendations on how to use the developed device for monitoring single-lane traffic.
Language
- English
Project
- Status: Active
- 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: 20191021
- 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 21 2019 3:15PM