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.

Record URL:

Language

English

Project

Status: Active
Funding: $140157
Contract Numbers:
69A3551847102

CAIT-UTC-REG46
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 08901

Center for Advanced Infrastructure and Transportation

Rutgers University
100 Brett Road
Piscataway, NJ United States 08854-8058
Project Managers:
Caviness, Solomon

Szary, Patrick
Performing Organizations:
Columbia University

610 SW Mudd
500W 120th Street
New York, New York United States 10027

Center 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