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

自动驾驶和联网车辆技术，在本文中称为自动驾驶车辆（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重大利益。这项技术正在世界各地的客运和货运方面兴起。自动驾驶汽车已经开始出现在地球仪的道路上。AV市场在2019年价值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，交通专业人员和研究人员必须在不久的将来实现自动驾驶之前解决一系列挑战。目前，研究人员、科学家和工程师正在投入大量精力和资源来开发支持技术。AV在非常不可预测的环境中做出决定，这意味着测试的水平必须非常高。所要求的设备将允许对反车辆技术进行实时模拟和测试，以确保其安全性，而无需进行现场测试。*** 该设备将支持在我的NSERC发现资助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，移动的和可持续的AV运输系统。NSERC申请的标题是“推进自动驾驶汽车的道路安全、机动性和几何设计”。否则，仿真和测试将使用Matlab Simulink进行，这不是实时的，是耗时的。在ITS领域最可靠的当代研究需要一个快速的控制原型，允许控制算法和模型的静态和真实世界的测试的最高精度。所要求的设备将有助于满足这一要求。 该设备被称为Speedgoat移动的实时目标机与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）自动驾驶乘汽车、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、在线调整和监控。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Simulink软件设计。Simulink中的自定义实时应用程序可以自动构建并下载到目标机器。该设备允许在实时执行期间从Simulink内部监控和记录信号参数。* 该设备将支持与交叉口、双车道公路和特殊设施相关的三个NSERC项目（涉及九项任务）。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. **