Evaluation of Cybersecurity Risks in Smart City Environments
The rapid advancement of Connected Autonomous Vehicles (CAVs) globally has led to the integration of Cooperative-Automated Driving Systems (C-ADS) in smart city environments. However, this integration presents opportunities and challenges, particularly concerning the safety of intersections. Complex traffic scenarios and potential cybersecurity threats demand innovative solutions. This project focuses on developing advanced cooperative algorithms and cybersecurity measures tailored explicitly to C-ADS operations at smart intersections. We evaluated cooperative control strategies in highway merging scenarios in the initial phase. Building upon this foundation, our next step involves integrating collision avoidance algorithms with cooperative control strategies to mitigate conflict points effectively. We will construct scenarios simulating smart intersections and highway systems to achieve this goal. Subsequently, we will rigorously evaluate our algorithms within these scenarios to assess their performance and effectiveness. This project aims to address critical safety and efficiency challenges at smart intersections by developing and implementing advanced cooperative algorithms, cybersecurity measures, and best practices for C-ADS deployment. Ultimately, our efforts contribute to creating a safer and more resilient transportation system, aligning with the evolving landscape of CAV development and smart city infrastructure.
Language
- English
Project
- Status: Active
- Funding: $222994
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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:
Ahmed, Qadeer
- Start Date: 20231030
- Expected Completion Date: 20250830
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Crash avoidance systems; Mobile communication systems; Risk assessment; Signalized intersections; Vulnerable road users
- Identifier Terms: Cooperative Cars; Cooperative Intersection Collision Avoidance
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; Security and Emergencies; Vehicles and Equipment;
Filing Info
- Accession Number: 01901375
- Record Type: Research project
- Source Agency: Center for Automated Vehicle Research with Multimodal Assured Navigation
- Contract Numbers: 69A3552348327
- Files: UTC, RIP
- Created Date: Dec 4 2023 5:07PM