An intelligent transportation systems (ITS) is a typical cyber-physical system (CPS) in which physical components, for example, Connected Automated Vehicles (CAVs), are monitored and controlled through a network of cyber and physical components. Such systems, therefore, contain event-driven dynamics along with time-driven dynamics. The proposed discrete-event and hybrid simulation framework based on SimEvents facilitates testing for safety and performance evaluation of an ITS and has been used to build a traffic simulation model of the Mcity test facility. It is specifically designed for testing CAVs and contains various road/lane configurations and a complete instrumentation system. This enables users to study traffic at the microscopic level, including the effectiveness of new control algorithms for CAVs under different traffic scenarios, the event-driven aspects of transportation systems, and the effects of communication delays. The framework spans multiple toolboxes including MATLAB$^{{\circledR }}$, Simulink$^{{\circledR }}$, and SimEvents$^{{\circledR }}$.

中文翻译：

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基于SimEvents的离散事件和混合交通仿真模型，用于Mcity智能交通系统分析

智能交通系统 (ITS) 是典型的网络物理系统 (CPS)，其中物理组件，例如联网自动驾驶汽车 (CAV)，通过网络和物理组件网络进行监控。因此，此类系统包含事件驱动的动态以及时间驱动的动态。提出的基于 SimEvents 的离散事件和混合仿真框架有助于测试 ITS 的安全和性能评估，并已用于构建 Mcity 测试设施的交通仿真模型。它专为测试 CAV 而设计，包含各种道路/车道配置和完整的仪表系统。这使用户能够在微观层面上研究交通，包括新的 CAV 控制算法在不同交通场景下的有效性，交通系统的事件驱动方面，以及通信延迟的影响。该框架跨越多个工具箱，包括 MATLAB$^{{\circledR }}$、Simulink$^{{\circledR }}$ 和 SimEvents$^{{\circledR }}$。