Abstract
Intersection related traffic crash and fatalities are one of the major concerns for road safety. In this project we aim to understand the major cause of conflicts at an intersection by studying the intricate interplay between all the roadway agents. We propose to use the current traffic camera systems to automatically process traffic video data. As manual annotation of video datasets is a very labor-intensive and costly process, A system that can process these traffic datasets automatically would strongly enhance the effectiveness of the analysis and enable new research questions to be addressed. Therefore, we propose to use computer vision algorithm to process the videos. Also, we propose to use advanced machine learning methods including graph neural network (GNN) to model the interaction of all the roadway agents at any given instance, and their role in road safety, both individually and as a composite system. As a result, the proposed model aims to develop a near real time risk score for a traffic scene.
Project Highlights
- Coming soon
Final Report
Coming Soon
EWD & T2 Products
Coming Soon
Presentations/Publications
Coming Soon
Final Dataset
The final datasets for this project are located in the Safe-D Collection on the VTTI Dataverse; Coming Soon
Research Investigators (PI*)
Abhijit Sarkar (VTTI)*
Zachary Doerzaph (VTTI/VT)*
Sparsh Jain (VTTI/VT Student)
Akash Sonth (VTTI/VT Student)
Hirva Bhagat(VTTI/VT Student)
Project Information
Start Date: 2022-05-01
End Date: 2023-06-30
Status: Active
Grant Number: 69A3551747115
Total Funding: 320,000
Source Organization: Safe-D National UTC
Project Number: 06-012
Safe-D Theme Areas
Safe-D Application Areas
Risk Assessment
Vulnerable Users
Operations and Design
Infrastructure Technology
Planning for Safety
More Information
RiP URL
UTC Project Information Form
Sponsor Organization
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Performing Organization
Virginia Polytechnic Institute and State University
Virginia Tech Transportation Institute
3500 Transportation Research Plaza
Blacksburg, Virginia 24061
US