Can control barrier functions keep automated vehicles safe in live freeway traffic?
This work presents testing of a Control Barrier Function (CBF) supervised Automated Vehicle (AV) in live freeway traffic. The CBF is designed and implemented using a common dynamical model for AV longitudinal control and a time-gap based safety property combined with CAN bus injection software/hardware. 1.17 hours of car-following data is collected from driving in congested freeway traffic. We analyze the extent to which the CBF controlled AV satisfied three properties: 1) forward-invariance of the safety property, 2) recovery of the safety property, and 3) collision avoidance.
Authors
- Daniel B. Work (ORCID: https://orcid.org/0000-0003-0565-2158)
- Jonathan Sprinkle (ORCID: https://orcid.org/0000-0003-4176-1212)
- George Gunter (ORCID: https://orcid.org/0000-0002-2505-5396)
- Matt Bunting (ORCID: https://orcid.org/0009-0008-8726-6413)
- Matthew Nice (ORCID: https://orcid.org/0000-0003-3609-1760)
Institutions
- Vanderbilt University (US)
Publication Details
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1145/3716550.3722034
- Citations
- 1
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Science Foundation