Automated Vehicles (AVs) are rapidly maturing in the transportation domain. However, the complexity of the AV design problem is such that no single technique is sufficient to provide adequate validation of key properties such as safety, reliability or trustworthiness. In this vision paper, a combination of a spatial traffic logic and agent-based verification methods with a validation method that uses assertion checking of simulations is proposed. We sketch how to integrate the respective approaches within a methodological framework called Corroborative Verification and Validation (V&V).The Corroborative V&V framework identifies three different verification and validation levels for AVs (formal verification, simulation-based testing, real-world experiments) and specifies connections and evidence between these levels. We define specifications for the formal relationships that must be established between processes, system models and requirements models for the evidence from formal design verification and simulation-based testing to corroborate each other and enhance assurance confidence from verification and validation.
翻译:自动飞行器(AV)在运输领域迅速成熟,然而,由于AV设计问题的复杂性,没有任何单一技术足以充分证明安全、可靠性或可信赖性等关键特性。在本愿景文件中,提出了空间交通逻辑和基于代理的核查方法与使用模拟检查的证实方法相结合的建议。我们勾画了如何将各自方法纳入称为 " Corrbodiation V&V " (V&V)的方法框架。Corrbodition V&V框架确定了AV的三个不同的核查和验证水平(正式核查、模拟测试、真实世界实验),并具体规定了这些水平之间的关联和证据。我们界定了在正式设计核查和模拟测试中必须建立的程序、系统模型和证据要求模型之间正式关系的具体要求,以便相互校正,增强核查和验证的可靠性。