Weather-aware fuzzy adaptive cruise control: Dynamic reference signal design

Shojaeefard, Mohammad Hassan; Mollajafari, Morteza; Ebrahimi-Nejad, Salman; Tayebi, S. Milad

doi:10.1016/j.compeleceng.2023.108903

Cited by 7 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results highlight the advantages of the proposed topology in terms of maintenance time and cost savings, as well as the high degree of driving realism. In this context, in [ 39 ], a novel adaptive cruise control (ACC) system with a fuzzy-based controller has been developed and validated considering various weather conditions and road tire friction. The core concept of the proposed study is to generate a dynamic reference signal so that the safe relative distance and speed of the vehicle can be adjusted, resulting in high safety and comfort performance.…”

Section: Related Workmentioning

confidence: 99%

A Virtual Testing Framework for Real-Time Validation of Automotive Software Systems Based on Hardware in the Loop and Fault Injection

Abboush,

Knieke,

Rausch

2024

Sensors

View full text Add to dashboard Cite

To validate safety-related automotive software systems, experimental tests are conducted at different stages of the V-model, which are referred as “X-in-the-loop (XIL) methods”. However, these methods have significant drawbacks in terms of cost, time, effort and effectiveness. In this study, based on hardware-in-the-loop (HIL) simulation and real-time fault injection (FI), a novel testing framework has been developed to validate system performance under critical abnormal situations during the development process. The developed framework provides an approach for the real-time analysis of system behavior under single and simultaneous sensor/actuator-related faults during virtual test drives without modeling effort for fault mode simulations. Unlike traditional methods, the faults are injected programmatically and the system architecture is ensured without modification to meet the real-time constraints. Moreover, a virtual environment is modeled with various environmental conditions, such as weather, traffic and roads. The validation results demonstrate the effectiveness of the proposed framework in a variety of driving scenarios. The evaluation results demonstrate that the system behavior via HIL simulation has a high accuracy compared to the non-real-time simulation method with an average relative error of 2.52. The comparative study with the state-of-the-art methods indicates that the proposed approach exhibits superior accuracy and capability. This, in turn, provides a safe, reliable and realistic environment for the real-time validation of complex automotive systems at a low cost, with minimal time and effort.

show abstract

Section: Related Workmentioning

confidence: 99%