Driving Behavioral Learning Leveraging Sensing Information from Innovation Hub
The primary goal of this proposal is to develop machine-learning algorithms for driving behavior mining, using real-time vehicle, pedestrian, and infrastructure data. The proposed algorithms will improve our understanding of how people drive on both highways and urban roads, which will help monitor and maintain roadside infrastructure and support the transportation systems to accommodate not only the existing human-driven vehicle but also the upcoming connected and automated mobility systems. The intended outcome of the project is an algorithm suite to learn human behavior patterns from LiDAR and camera datasets. To facilitate its adoption by public agencies, the software will be open-sourced with friendly interface design. The proposed smart mobility testbed concept could be deployed at local intersections and arterial corridors in the City of New Brunswick, NJ and utilized by the Robert Wood Johnson hospital’s patient shuttle services and parking services.
Language
- English
Project
- Status: Active
- Funding: $140157
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Contract Numbers:
69A3551847102
CAIT-UTC-REG46
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Middlesex County Transportation
75 Bayard Street
New Brunswick, NJ United States 08901Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Project Managers:
Caviness, Solomon
Szary, Patrick
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Performing Organizations:
Columbia University
610 SW Mudd
500W 120th Street
New York, New York United States 10027Center for Advanced Infrastructure and Transportation
Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058 -
Principal Investigators:
Di, Xuan
Jin, Peter
- Start Date: 20210101
- Expected Completion Date: 20211231
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Algorithms; Autonomous vehicles; Behavior; Cameras; Connected vehicles; Data files; Data mining; Drivers; Driving; Human factors; Laser radar; Machine learning; Safety analysis
- Geographic Terms: New Brunswick (New Jersey)
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01771378
- Record Type: Research project
- Source Agency: Center for Advanced Infrastructure and Transportation
- Contract Numbers: 69A3551847102, CAIT-UTC-REG46
- Files: UTC, RIP
- Created Date: May 6 2021 11:28AM