Develop and Test Optimal Speed Control Strategies for Connected and Automated Vehicles under GPS Jamming and Spoofing

This research project engages in transformative innovation to develop and evaluate optimal speed control strategies for Connected and Automated Vehicles (CAVs) navigating signalized intersections under conditions of Global Positioning System (GPS) jamming and spoofing. While recent studies have primarily focused on robust detection and mitigation techniques to safeguard CAV navigation, this study represents a first attempt to investigate the impact of GPS jamming and spoofing on CAV speed control applications and develop solutions to address these cyber attacks. The algorithms developed in this study also will be beneficial for extending into other CAV applications such as routing and platooning strategies. Building upon the Eco-Cooperative Adaptive Cruise Control at Intersections (Eco-CACC-I) framework, the study will generate real-time, fuel-efficient trajectories and enhance traffic flow efficiency within designated control zones. To ensure resilience against cyberattacks targeting GNSS signals, the project will simulate GPS spoofing and jamming scenarios in MATLAB and subsequently scale the evaluation to network-level performance using the INTEGRATION platform. Detection methods will leverage signal anomalies, estimation residuals, and cooperative vehicle-to-everything (V2X) cross-checks to identify compromised positioning data. The study further introduces a novel mitigation strategy using Optical Intelligent Reflecting Surfaces (OIRS) to enable dual-channel communication via RF and visible light. These OIRS-enabled systems will deliver authenticated positioning and timing data from roadside units, allowing the Eco-CACC-I controller to gracefully degrade and reweight sensor inputs when GNSS integrity is compromised. The outcome will be a robust, simulation-ready control strategy that enhances safety, fuel efficiency, and cyber-resilience for future CAV deployments. OBJECTIVES: The primary objective of this research is to develop and validate optimal speed control strategies for CAVs operating under compromised positioning conditions caused by GPS jamming and spoofing. By advancing the Eco-CACC-I framework, the study will produce fuel-efficient speed profiles for multiple vehicle powertrains, addressing both deceleration and uninterrupted cruising scenarios. These strategies will be tested in MATLAB and scaled to network-level simulations in INTEGRATION, aligning with USDOT priorities to promote safety, reduce congestion, and improve mobility and infrastructure durability. This study directly supports the statutory mission of the CARNATIONS UTC to toughen, augment, and protect Positioning, Navigation, and Timing (PNT) systems for multimodal surface transportation.

• Record URL:
  • https://www.iitcarnations.org/research/developandtestoptimalspeedcontrolstrategiesforconnectedandautomated-vehicles-under-gps-jamming-and-spoofing

Language

• English

Project

• Status: Active
• Funding: $65,000.00
• Contract Numbers:

  69A3552348324

• 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 Assured and Resilient Navigation in Advanced Transportation Systems

  Illinois Institute of Technology
  Chicago, IL  United States  60616
• Project Managers:

  Narang, Aashish

• Performing Organizations:

  Center for Assured and Resilient Navigation in Advanced Transportation Systems

  Illinois Institute of Technology
  Chicago, IL  United States  60616
• Principal Investigators:

  Ayyash, Moussa

  Rakha, Hesham

• Start Date: 20251001
• Expected Completion Date: 20260930
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program
• Subprogram: University Transportation Centers

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Computer security; Connected vehicles; Cyberattacks; Global Positioning System; Navigation; Signalized intersections; Speed control; Vehicle to everything communications
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Security and Emergencies; Vehicles and Equipment;

Filing Info

• Accession Number: 01974272
• Record Type: Research project
• Source Agency: Center for Assured and Resilient Navigation in Advanced Transportation Systems
• Contract Numbers: 69A3552348324
• Files: UTC, RIP
• Created Date: Dec 16 2025 3:20PM