Abstract
The safety of autonomous vehicles relies on dependable and secure infrastructure for intelligent transportation. The doctoral research described in this paper aims to enable self-healing and survivability of the intelligent transportation systems required for autonomous vehicles (AV-ITS). The proposed approach is comprised of four major elements: qualitative and quantitative modeling of the AV-ITS, stochastic analysis to capture and quantify interdependencies, mitigation of disruptions, and validation of efficacy of the self-healing process. This paper describes the overall methodology and presents preliminary results, including an agent-based model for detection of and recovery from disruptions to the AV-ITS.
| Original language | American English |
|---|---|
| Journal | Proceedings - International Computer Software and Applications Conference |
| DOIs | |
| State | Published - Jan 1 2023 |
Keywords
- autonomous vehicles
- cyber attack
- intelligent transportation system
- modeling
- self-healing
- survivability
Disciplines
- Computer Sciences
- Electrical and Computer Engineering
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