Cost-effective Approach Towards Building a Traffic Sign Data Inventory Using Open Street Images
Traffic signs are critical assets for roadway and infrastructure management. They are also in a great variety and different conditions. According to the asset management plan proposed by US DOT, the research team proposes a cost - effective approach to build a traffic sign data inventory using open street images. The system consists of three sub-systems. Firstly, the data collection system can capture the real-time open street image data along with the associated information. Secondly, the team will train a traffic sign detection and recognition model to extract the information from original images. Finally, the data storage system will store the recognition results as well as associate information into the database.
Language
- English
Project
- Status: Completed
- Funding: $120000
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Contract Numbers:
69A3551747124
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Sponsor Organizations:
Washington State Department of Transportation
Transportation Building
Olympia, WA United States 98504Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Performing Organizations:
Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United States -
Principal Investigators:
Wang, Yinhai
- Start Date: 20220301
- Expected Completion Date: 20230930
- Actual Completion Date: 20230930
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Asset management; Cost effectiveness; Data collection; Data storage; Databases; Detection and identification; Equity; Highways; Infrastructure; Inventory; Rural areas; Traffic signs
- Subject Areas: Administration and Management; Data and Information Technology; Highways; Operations and Traffic Management; Society;
Filing Info
- Accession Number: 01842981
- Record Type: Research project
- Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
- Contract Numbers: 69A3551747124
- Files: UTC, RIP
- Created Date: Apr 22 2022 9:43AM