Loading...

Reliability Assessment of the Adaptive Cruise Control System

Kalantari, Hossein | 2024

0 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57257 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Ejlali, Alireza
  7. Abstract:
  8. The current focus of the automotive industry lies in Advanced Driver-Assistance Systems (ADAS), within which the prominence of Adaptive Cruise Control (ACC) as a pivotal subsystem is evident. ACC is known as a Cyber-Physical System (CPS) due to its integration of embedded computational devices, actuators, and sensors. Furthermore, it is categorized as a safety-critical system due to its direct influence on the occupants’ safety. In this regard, reliability is a critical factor that must be evaluated in ACC using fault injection experiments. However, the intricate nature of ACC as a CPS, coupled with its complexity, renders conventional hardware and software-based fault injection techniques inadequate. urthermore, the inherent potential for fault propagation across the ACC and its interlinked vehicular components further complicates the matter. To address these challenges, we propose a three-step model-based simulation fault injection methodology. In the initial pre-fault injection stage, we configure the test model to mirror real-world conditions. In the fault injection phase, we simulate 2343 discrete fault scenarios over 75 iterations. Throughout these iterations, we inject an excess of 350,000 faults into 11 distinct signals. The subsequent post-fault injection phase encompasses the assessment of system outputs in terms of vulnerability. Our results show that the bias fault is the most critical, exhibiting a conversion rate to failure of 57%, and longitudinal velocity and vehicle position signals are identified as critical points marked by Vulnerability Factors (VF) of 79.56% and 59.31%, respectively. The cumulative VF, encompassing all relevant signals of the ACC system, is equal to 45%. To the best of our knowledge, we have evaluated the first comprehensive fault injection experiments in the ACC to assess vulnerabilities and identify their effects
  9. Keywords:
  10. Advanced Driver Assistance System (ADAS) ; Fault Injection ; Failure Injection ; Vulnerability Factor ; Adaptive Cruise Control (ACC) ; Reliability Evaluation

 Digital Object List