Sensitivity and Reliability for Cybersecurity of Traffic with Autonomous Vehicle Participation
The use of Sensitivity and Reliability Analysis is not new in transportation studies, where it has been utilized in traffic flow related problems. However, in this project the research team proposes to use it for helping feedback control decisions in real-time. A basic reason for the use of feedback is to render a closed loop system less susceptible to the effects of plant parameter variations than an open-loop system having the same nominal input-output characteristics. The team will be leading to obtaining a method and generating software to identify which components either on the vehicle or infrastructure would need to be changed for the highly autonomous vehicle (HAV) to be more cybersecure. The team proposes to focus on three thrusts: (1) identify emerging cybersecurity threats to Highly Automated Transportation Systems (HATS); (2) analyze threat scenarios; (3) mitigation methods utilizing sensitivity functions. The team shall base this research on both their results in the previous University Transportation Center (UTC) at The Ohio State University and their earlier work on decentralized systems.
Language
- English
Project
- Status: Active
- Funding: $87719
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Contract Numbers:
69A3552348327
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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:
Center for Automated Vehicle Research with Multimodal Assured Navigation
Ohio State University
Columbus, OH United States 43210 -
Project Managers:
Kline, Robin
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Performing Organizations:
Ohio State University Center for Automotive Research
930 Kinnear Road
Columbus, OH United States 43212 -
Principal Investigators:
Ozguner, Umit
- Start Date: 20231030
- Expected Completion Date: 20240830
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Computer security; Feedback control; Intelligent vehicles; Reliability; Sensitivity analysis
- Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;
Filing Info
- Accession Number: 01901168
- Record Type: Research project
- Source Agency: Center for Automated Vehicle Research with Multimodal Assured Navigation
- Contract Numbers: 69A3552348327
- Files: UTC, RIP
- Created Date: Dec 1 2023 5:14AM