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A fusion safety and security analysis framework for intelligent and connected vehicles
Bin Sun1, Shichun Yang1,2, Yu Wang1
1School of Transportation Science and Engineering, Beihang University, Beijing, China.
This study introduces a new fusion safety analysis method to collectively evaluate functional safety, safety of the intended functionality (SOTIF), and cybersecurity for intelligent and connected vehicles (ICVs). The method enhances integrated safety risk assessment for safer autonomous driving.
Area of Science:
- Automotive Engineering
- Intelligent and Connected Vehicles (ICVs)
- Systems Safety Engineering
Background:
- The automotive industry is rapidly advancing towards Intelligent and Connected Vehicles (ICVs), characterized by complex electronic systems and extensive data exchange.
- Traditional safety measures are insufficient, necessitating consideration of functional safety, safety of the intended functionality (SOTIF), and cybersecurity.
- Existing safety analysis methods often address these critical domains in isolation, leading to potential gaps and incomplete risk assessments.
Purpose of the Study:
- To introduce a novel fusion safety analysis method for the collective evaluation of functional safety, SOTIF, and cybersecurity in ICVs.
- To address the limitations of current siloed approaches by providing an integrated safety assessment framework.
- To enhance the overall safety and reliability of intelligent and connected vehicles through a holistic safety analysis.
Main Methods:
- Development of a fusion safety analysis method that integrates functional safety, SOTIF, and cybersecurity assessments.
- Identification of key safety attributes relevant to ICVs across the three domains.
- Mapping of unsafe behaviors to specific hazardous scenarios for quantitative risk assessment.
Main Results:
- The proposed fusion safety analysis method effectively evaluates integrated safety risks across multiple domains.
- A case study on Adaptive Cruise Control (ACC) demonstrated the method's practical applicability and effectiveness.
- Quantitative assessment of integrated safety risks was achieved by linking safety attributes to hazardous scenarios.
Conclusions:
- Addressing functional safety, SOTIF, and cybersecurity collectively is crucial for ensuring the safety of ICVs.
- The fusion safety analysis method provides a comprehensive approach to identifying and mitigating multi-dimensional safety risks.
- Implementing integrated safety assessments is vital for advancing the safety and security of intelligent and connected vehicle technologies.
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