- By:
- Taylor, Curtis R; Carter, Jason M; Huff, Shean P; Nafziger, Eric J; Rios Torres, Jackeline ; Zhang, Robert Z; Turcotte, Joseph
- Page Number:
- 236-239
- Book Title:
- Consumer Communications & Networking Conference
- Publication Date:
- December 27, 2023
- Publisher Location:
- IEEE, New Jersey, United States of America
- Conference Name:
- IEEE Consumer Communications and Networking Conference (CCNC)
- Conference Location:
- Virtual conference, Tennessee, United States of America
- Conference Sponsor:
- IEEE
- View DOI Listing:
- https://doi.org/10.1109/CCNC49033.2022.9700691
Abstract
Evaluating efficiency and security of Connected and Autonomous Vehicles (CAVs) requires an environment that can support applications and measurements under real-world conditions. This work introduces our implementation and evaluation of a Connected and Autonomous Vehicle Research Environment (CAVRE). We implement and evaluate an existing CAV application called Cooperative Adaptive Cruise Control (CACC) using physical Vehicle-to-Vehicle (V2V) communications between a virtual agent and a real autonomous vehicle operating on a steerable dynamometer. CAVRE allows the follower to autonomously control longitudinal behavior on the dynamometer in order to maintain a steady following time gap from the leader. The effects of a wireless jamming attack on CACC and fuel efficiency is also evaluated. By executing attacks in a controlled environment, we learn how compromised communications can degrade CAV applications. We show that jamming V2V communications can impact CACC’s string stability and decrease fuel efficiency by more than 50%.
