C-V2I-based汽车防撞性能分析
Performance Analysis of C-V2I-based Automotive Collision Avoidance
摘要：
C-V2 I（蜂窝车辆到基础设施）网络的关键应用之一与道路安全有关。由于交换了合作意识信息（CAM），车辆和其他道路使用者（例如，行人）可以通告他们的位置、航向和速度，并且复杂的算法可以检测导致碰撞的潜在危险情况。在本文中，我们专注于在交叉口的汽车防撞安全应用，并研究其部署在基于C-V2 I的基础设施的有效性。在我们的研究中，我们还考虑了运行应用程序的服务器的位置作为系统设计中的一个因素。我们基于模拟的结果来自真实世界的场景，提供了关于汽车与汽车和汽车与行人碰撞避免算法的可靠性的指示，无论是考虑人类驾驶员还是自动驾驶车辆（具有更快的反应时间）填充街道。
英文摘要：
One of the key applications envisioned for C-V2I (Cellular Vehicle-to-Infrastructure) networks pertains to safety on the road. Thanks to the exchange of Cooperative Awareness Messages (CAMs), vehicles and other road users (e.g., pedestrians) can advertise their position, heading and speed and sophisticated algorithms can detect potentially dangerous situations leading to a crash. In this paper, we focus on the safety application for automotive collision avoidance at intersections, and study the effectiveness of its deployment in a C-V2I-based infrastructure. In our study, we also account for the location of the server running the application as a factor in the system design. Our simulation-based results, derived in real-world scenarios, provide indication on the reliability of algorithms for car-to-car and car-to-pedestrian collision avoidance, both when a human driver is considered and when automated vehicles (with faster reaction times) populate the streets.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
