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Un-Seon Jung¹, Cheol Mun¹

¹Department of Electronic Engineering, Korea National University of Transportation, Chungju 27469, Republic of Korea.

Sensors (Basel, Switzerland)

|January 28, 2026

概括

路边单元通过共享传感器数据和优化交通流量来增强合作驾驶自动化. 这提高了合并场景中的安全性,并大大提高了十字路口和环形车道的速度和吞吐量.

科学领域:

智能运输系统智能运输系统
自动驾驶自动驾驶的自动驾驶
边缘计算边缘计算

背景情况:

合作驾驶自动化 (CDA) 使用车辆到一切 (V2X) 通信来克服车载传感器的局限性.
带有多访问边缘计算 (MEC) 的路边单位 (RSU) 可以为自动驾驶汽车提供增强的情境意识和决策支持.

研究的目的:

模拟将边缘RSU生成的合作传感和操纵信息集成到自动驾驶汽车系统中的模式.
在各种交通场景中分析边缘RSU-enabled服务提供的性能改进.
提出和评估混合配对优化 (HPO) 方案,以在十字路口和环形路口进行高效的交通管理.

主要方法:

模拟自动驾驶汽车从边缘RSU接收和融合数据的模拟.
在高速公路合并的场景中分析边缘RSU的传感器共享服务 (SSS).
开发和模拟HPO计划的无标记交叉路口和圈,与先到先得 (FCFS) 政策进行比较.

主要成果:

边缘RSU的SSS在高速公路合并模拟中降低了碰撞风险,而仅与车载传感器相比.
与FCFS相比,HPO方案提高了高达192%的平均速度和高达209%的交叉路口和绕道的交通吞吐量.
在保持公平的同时,HPO通过提供指导作为软约束来实现安全的并发通道.

结论:

边缘RSU集成显著提高了合作驾驶自动化能力.
拟议的HPO方案在复杂的十字路口和道上大幅提高了交通效率和安全性.
边缘计算解决方案对于提高未来自主运输系统的性能和安全至关重要.

关键词:

合作式驾驶自动化 (CDA) 技术合作式的机动行动.合作感应传感系统边缘路边单位 (边缘RSU)多接入边缘计算 (MEC) 是一种多接入边缘计算.传感器共享传感器共享车辆到一切 (V2X)

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