基于5G移动边缘计算的智能汽车基础设施协同系统研究

Xiaowei Chen, Qingyu Zhang, Z. Jin, Sulin Zhang, Jinliang Li, Jia Zhang
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引用次数: 1

摘要

智能车-基础设施协同系统在智能交通系统中发挥着越来越大的作用,本文设计了一种基于5G移动边缘计算的智能车-基础设施协同系统,以提高数据传输的网络延迟,并采用非对称加密算法保证数据的安全性。系统由路侧单元、车载单元、移动边缘计算设备、中心云平台四大功能模块组成,实现车辆-道路-边缘-中心云四级数据融合处理。采用基于自动驾驶车辆安全时间距离的自适应巡航模型验证了该系统的可行性和有效性。与4G车基础设施协同系统相比,数据传输时延降低60% ~ 80%。从而实现了短时延、高可靠性、高速的车-基础设施协同系统,为设计和开发高效、安全、环保的智能交通系统提供了有益的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Intelligent Vehicle Infrastructure Cooperative System Based on 5G Mobile Edge Computing
Intelligent vehicle-infrastructure cooperative system plays an increasingly greater role in the intelligent traffic system, this paper designs an intelligent vehicle-infrastructure cooperative system based on 5G mobile edge computing in order to improve the network latency of data transmission and asymmetric cryptographic algorithm was used to ensure the security of data. The system consists of four function modules: road side unit, on board unit, mobile edge computing equipment, central cloud platform, to realize the fusion processing of vehicle-road-edge-central cloud four-level data. The adaptive cruise model based on safe time distance of self-driving vehicle was used to verify the feasibility and effectiveness of the system. Compared with the 4G vehicle-infrastructure cooperative system, the data transmission delay is reduced by 60% to 80%. Thus the short delay, high reliability and high speed vehicle-infrastructure cooperative system are realized, and provides a useful reference for the design and development of an efficient, safe and environmentally friendly intelligent traffic system.
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