Mobile Real-Time Machine for Simulation and Testing of Autonomous Vehicle Technologies

自动驾驶和互联汽车技术，在这里被称为自动驾驶汽车（AV），将减少人为错误，并有望在安全性、移动性和可持续性方面带来显著的好处。这项技术正在世界各地的客运和货运领域兴起。自动驾驶汽车已经开始出现在全球各地的道路上。2019年，AV市场的价值为540亿美元，预计到2026年将增长到5560亿美元（增长10倍）。显然，随着市场的扩大，在自动驾驶汽车在不久的将来成为现实之前，交通专业人士和研究人员必须应对一系列挑战。目前，研究人员、科学家和工程师正在投入大量的精力和资源来开发支持技术。自动驾驶汽车在非常不可预测的环境中做出决策，这意味着测试水平必须非常高。所要求的设备将允许自动驾驶技术的实时模拟和测试，以确保其安全性，而无需现场测试。***该设备将支持我的NSERC发现拨款申请中开发的方法的模拟和测试，其长期目标是开发创新方法，以实现安全、移动和可持续的自动驾驶交通系统。NSERC申请的标题是“推进自动驾驶车辆的道路安全、移动性和几何设计”。否则，将使用Matlab Simulink进行仿真和测试，这不是实时的，而且耗时。在ITS领域最可靠的当代研究需要一个快速控制原型，允许控制算法和模型的静态和现实世界测试的最高精度。所要求的设备将有助于实现这一要求。该设备称为Speedgoat移动实时目标机，带有Simulink，可用于许多行业的许多应用，包括实验室，现场，教室。该设备的示例应用包括：(1)自动驾驶乘用车、卡车和公共汽车；(2)智能交通系统（ITS）和车辆动态控制；(3)高级驾驶员辅助系统；(4)组合数据源的数据融合；(5)混合动力和全电动动力系统的开发；以及(6)数据记录、在线调谐和监控。该设备与Matlab Simulink无缝集成，可以使用定制硬件快速运行和测试定制的Simulink软件设计。来自Simulink的自定义实时应用程序可以自动构建并下载到目标机器上。该设备允许在实时执行过程中通过Simulink监控和记录信号参数。***该设备将支持3个NSERC项目（涉及9个任务），涉及交叉路口、双车道公路和特殊设施。它将为HQP提供宝贵的培训经验，为工程部门招聘所需的尖端技术建模。**

Autonomous and connected vehicle technology, called herein automated vehicles (AV), will reduce human errors and are expected to lead to significant benefits in safety, mobility, and sustainability. The technology is emerging around the world on both passenger and freight sides. Automated vehicles have already started to appear on the roads across the globe. The AV market is valued at $54 billion in 2019 and is projected to grow to $556 billion by 2026 (10-time growth). Clearly, as the market expands, transportation professionals and researchers must address an array of challenges before AV becomes a reality in the near future. Currently, researchers, scientists, and engineers are investing significant effort and resources to develop supporting technologies. AV make decisions in very unpredictable environments, which means that the level of testing must be very high. The requested equipment will allow real-time simulation and testing of AV technologies to ensure their safety without field testing. *** The equipment will support the simulation and testing of the methodologies to be developed in my NSERC Discovery Grant application, whose long-term goal is to develop innovative methods to achieve safe, mobile, and sustainable transportation systems for AV. The title of the NSERC application is “Advancing Road Safety, Mobility, and Geometric Design for Automated Vehicles.” Otherwise, the simulation and testing will be conducted using Matlab Simulink which is not real-time and is time-consuming. The most reliable contemporary research in the area of ITS requires a rapid control prototype that allows the highest accuracy for both stationary and real-world tests of control algorithms and models. The requested equipment will help achieve this requirement.*** The equipment, called Speedgoat Mobile Real-Time Target Machine with Simulink, can be used in many applications across many industries, including labs, fields, classrooms. Sample applications of the equipment include: (1) autonomous passenger cars, trucks, and buses, (2) intelligent transportation systems (ITS) and vehicle dynamics control, (3) advanced driver assistance systems, (4) data fusion for combined data sources, (5) development of hybrid and fully electrical powertrain systems, and (6) data logging, online tuning, and monitoring. The equipment and Matlab Simulink are seamlessly integrated and can rapidly run and test custom Simulink software designs with custom hardware. Custom real-time applications from Simulink can be automatically built and download to the target machine. The equipment allows monitoring and logging of signal parameters from within Simulink during real-time execution.*** This equipment will support three NSERC projects (involving nine tasks) related to intersections, two-lane highways, and special facilities. It will provide a valuable training experience for HQP in modelling cutting-edge technologies that are required for hiring in the engineering sector. **