基础设施赋能的机库自主系统功能安全分析
Functional Safety Analysis for Infrastructure-Enabled Depot Autonomy System
AI总结：
本文针对基础设施赋能的机库自主系统进行功能安全分析，通过ISO 26262合规的HARA方法识别危险事件并分配安全等级，证明高速无控操作对安全要求最高。
摘要：
本文提出了针对基础设施赋能的机库自主系统（IX-DA）的功能安全分析。IX-DA系统在受控机库环境中自动化配送车辆的编组，通过连接的自主车辆（CAVs）在取货区、服务站（清洗、校准、充电、装载）和送货区之间导航，无需人工干预。我们描述了由三个主要子系统组成的系统架构——连接的自主车辆、基础设施传感和计算层以及人类操作员接口，并推导了它们的功能需求。使用符合ISO 26262的危险分析和风险评估（HARA）方法，我们识别了八个危险事件，在不同的操作场景中评估它们，并分配从质量管理（QM）到ASIL C的汽车安全完整性级别。推导出六个安全目标，并分配给车辆和基础设施子系统。分析表明，高速无控操作对安全要求最为严格（ASIL C），而受控低速操作将大多数目标降低到QM，提供了一条分阶段部署的实用路径。
英文摘要：
This paper presents the functional safety analysis for an Infrastructure-Enabled Depot Autonomy (IX-DA) system. The IX-DA system automates the marshalling of delivery vehicles within a controlled depot environment, navigating connected autonomous vehicles (CAVs) between drop-off zones, service stations (washing, calibration, charging, loading), and pick-up zones without human intervention. We describe the system architecture comprising three principal subsystems -- the connected autonomous vehicle, the infrastructure sensing and compute layer, and the human operator interface -- and derive their functional requirements. Using ISO 26262-compliant Hazard Analysis and Risk Assessment (HARA) methodology, we identify eight hazardous events, evaluate them across different operating scenarios, and assign Automotive Safety Integrity Levels~(ASILs) ranging from Quality Management (QM) to ASIL C. Six safety goals are derived and allocated to vehicle and infrastructure subsystems. The analysis demonstrates that high-speed uncontrolled operation imposes the most demanding safety requirements (ASIL C), while controlled low-speed operation reduces most goals to QM, offering a practical pathway for phased deployment.
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