Automated vehicles (AVs) are expected to increase traffic safety and traffic efficiency, among others by enabling flexible mobility-on-demand systems. This is particularly important in Singapore, being one of the world's most densely populated countries, which is why the Singaporean authorities are currently actively facilitating the deployment of AVs. As a consequence, however, the need arises for a formal AV road approval procedure. To this end, a safety assessment framework is proposed, which combines aspects of the standardized functional safety design methodology with a traffic scenario-based approach. The latter involves using driving data to extract AV-relevant traffic scenarios. The underlying approach is based on decomposition of scenarios into elementary events, subsequent scenario parametrization, and sampling of the estimated probability density functions of the scenario parameters to create test scenarios. The resulting test scenarios are subsequently employed for virtual testing in a simulation environment and physical testing on a proving ground and in real life. As a result, the proposed assessment pipeline thus provides statistically relevant and quantitative measures for the AV performance in a relatively short time frame due to the simulation-based approach. Ultimately, the proposed methodology provides authorities with a formal road approval procedure for AVs. In particular, the proposed methodology will support the Singaporean Land Transport Authority for road approval of AVs.
翻译:除其他外,预期自动化车辆(AVs)将提高交通安全和交通效率,包括建立灵活的按需流动系统,这在新加坡特别重要,新加坡是世界上人口最稠密的国家之一,新加坡当局目前正在积极协助部署AVs,因此新加坡当局目前正在积极协助部署AVs。因此,需要正式的AV公路核准程序。为此,提议了一个安全评估框架,将标准化功能安全设计方法的各个方面与基于交通设想方案的办法结合起来,后者涉及利用驾驶数据来提取与AV有关的交通假设情况。基本方法的基础是将各种情况分解成基本事件,随后的假设情况对假设参数的估计概率密度功能进行取样,以建立测试假设情况。随后,将采用测试情景,在模拟环境中和现实生活中进行虚拟测试。因此,拟议的评估管道为AV工作业绩提供了统计上相关和数量方面的计量措施。最后,拟议的方法为SIRAAV公路核准方法提供了正式的公路核准程序。