摘要
文章提出并设计了一种融合5G-V2X通信技术的分布式大数据智慧交通服务平台。利用机器学习相关技术,选择深度学习领域中的图卷积神经网络作为主要的交通预测手段,建立了交通流量预测模型,结合实际交通环境中存在的复杂情形,设计并开发了融合5G-V2X通信的智慧交通服务平台。最后通过数据对模型和平台进行了测试,结果表明模型预测的准确性和实效性较高,平台具有实用性。
This paper proposes and designs a distributed big data intelligent transport service platform integrating 5G-V2X communication technology.Using machine learning related technology,the graph convolutional neural network in the field of deep learning is selected as the main means of traffic prediction,and the traffic flow prediction model is established.Combined with the complex situation in the actual traffic environment,an intelligent transport service platform integrating 5G-V2X communication is designed and developed.Finally,the model and platform are tested through the data,and the results show the accuracy and effectiveness of the model prediction is high,and the platform has practicality.
作者
刘剑
朱虹锦
王蓉
LIU Jian;ZHU Hongjin;WANG Rong(Chengdu Technological University,Chengdu 611730,China)
出处
《现代信息科技》
2021年第24期81-83,88,共4页
Modern Information Technology
基金
四川省科技计划项目(2021YFG0170)
中国高校产学研创新基金--新一代信息技术创新项目(2020ITA03041,2020ITA03047)。
关键词
智慧交通
5G-V2X通信技术
图卷积神经网络
intelligent transport
5G-V2X communication technology
graph convolutional neural network
