FHWA-HRT-21-081.pdf (4.44 MB)
Publication Information
Publication Type:
Technical Report
Publication Number:
FHWA-HRT-21-081
Abstract:
This report presents research about the potential for using artificial intelligence (AI) algorithms for highway traffic incident detection, specifically an AI-based incident-detection framework that can leverage large-scale sensor data along with advanced learning algorithms to improve the performance of incident detection. This research project was sponsored by the FHWA’s HRDO. This report may be a useful reference for incident management teams, traffic operators, and those interested in traffic incident detection.
The Turner-Fairbank Highway Research Center (TFHRC) performs advanced research on several areas of transportation technology for the Federal Highway Administration (FHWA). The Office of Operations Research and Development (HRDO) focuses on improving operations-related technology through research, development, and testing.
Recommended citation: Federal Highway Administration, Effectiveness of TMC AI Applications in Case Studies (Washington, DC: 2021) https://doi.org/10.21949/1521668
Publishing Date:
February 2022
Posting Date:
Digital Object Identifier:
https://doi.org/10.21949/1521668
Author(s):
Publishing Office:
Office of Operations Research and Development
FHWA Program(s):
Research
Operations
Safety
AMRP Program(s):
Transportation Systems Management and Operations
FHWA Activities:
Data and Analysis
Transportation Management
Subject Area:
Operations and Traffic Management
Research
Safety and Human Factors