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Edge-based Safety Intersection Assistance Architecture for Connected Vehicles

机译：连接车辆的边缘安全交叉辅助架构

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Cooperative Intelligent Transportation Systems (C-ITS) are being developed to enable information exchange among vehicles and between vehicles and the roadside infrastructure. C-ITS are regarded as a base technology to reduce road accidents and improve traffic efficiency sustainably. Driving in unsignalized intersections is a significant problem for drivers due to many accidents registered on such roads. In this paper, we aim to solve this problem by proposing an Intersection Assistance System (IAS) that helps C-ITS drivers crossing the intersection more safely. Our solution, namely ESIAS (Edge-based Safety Intersection Assistance System), uses an edge-computing architecture to process efficiently the data offloaded by sensors (cameras/lidars) installed on road intersections. Our solution's performance is evaluated through different simulation scenarios by calculating the number of avoided accidents in each scenario. The results show that ESIAS can effectively reduce 80% of potential accidents.
机译：正在开发合作智能运输系统（C-ITS），以在车辆和车辆和路边基础设施之间实现信息交换。 C-ITS被视为基础技术，以减少道路事故，可持续提高交通效率。由于在此类道路上登记的许多事故，驾驶失败的交叉点是司机的重大问题。在本文中，我们的目标是通过提出一个有助于C-ITS驱动程序更安全地穿过交叉路口的交叉路口辅助系统来解决这个问题。我们的解决方案即eSIAS（基于边缘的安全交叉口辅助系统）使用边缘计算架构有效地处理由安装在道路交叉口上的传感器（摄像机/ LIDARS）卸载的数据。我们的解决方案的性能是通过不同的模拟方案进行评估，通过计算每种方案中的避免事故的数量。结果表明，ESIA可以有效降低80％的潜在事故。

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