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首页> 外文会议>International conference on computer science and it applications;KIPS international conference on ubiquitous information technologies >Vehicular Fog Computing Based Traffic Information Delivery System to Support Connected Self-driving Vehicles in Intersection Environment
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Vehicular Fog Computing Based Traffic Information Delivery System to Support Connected Self-driving Vehicles in Intersection Environment

机译：基于车辆迷雾计算的交通信息传递系统，支持交叉环境中的连接自动驾驶车辆

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摘要

Recently, edge and fog computing server based various researches related on smart traffic control system have been studied to support enhanced traffic control service performance. In particular, fog computing server based novel ITS, such as vehicular fog computing, is being developed for traffic application of vehicle networks. Vehicles, regarded as smart devices with mobile, have the computational capability to collect useful traffic information about traffic state and road condition. Thus, in vehicular networks enabled to vehicular fog computing, through smart vehicular, fog server performing computing can be deployed at the edge of vehicular networks to collect, store, and compute traffic data related on vehicle state, road condition and traffic state. Here, vehicular fog computing server can provide a vehicle services to connected self-driving vehicle with the providing driving information, smart traffic control and road safety improvement, we propose a vehicle fog computing-based traffic information delivery system that can be used to deliver real-time and urgent-sensitive data, such as traffic data related on vehicle accident, in an intersection environment. The proposed system model is the functional architecture of traffic information delivery system based on vehicular fog computing server.
机译：最近，已经研究了基于智能流量控制系统相关的各种研究的边缘和雾计算服务器，以支持增强的交通管制服务性能。特别是，正在为车辆网络的流量应用开发了基于雾计算服务器的基于车辆的新颖，例如车辆雾计算。被视为具有移动设备的智能设备的车辆具有计算能力，可以收集有关交通状态和道路状况的有用交通信息。因此，在启用到车辆雾计算的车辆网络中，通过智能车辆，执行计算可以在车辆网络的边缘部署以收集，存储和计算车辆状态，道路状况和交通状态的交通数据。在这里，车辆雾计算服务器可以为车辆服务提供连接自动驾驶车辆，提供驾驶信息，智能流量控制和道路安全改进，我们提出了一种基于车辆的流量信息信息传递系统，可用于提供真实 - 在交叉环境中，在车辆事故中的时间和迫切敏感的数据，例如车辆事故相关的交通数据。所提出的系统模型是基于车辆雾计算服务器的交通信息传递系统的功能架构。

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