基于5G通信的城市智慧交通拥堵预测分析  

Prediction and Analysis of Urban Intelligent Traffic Congestion Based On 5G Communication

作　　者：王振潜 吴勇 任伟[1] 龙淑芬 WANG Zhenqian;WU Yong;REN Wei;LONG Shufen(Wireless Network Optimization Center,Qiandongnan Branch of China Telecom Corporation Limited,Kaili,Guizhou 556000,China)

机构地区：[1]中国电信股份有限公司黔东南分公司无线网络优化中心,贵州凯里556000

出　　处：《移动信息》2024年第5期30-32,共3页MOBILE INFORMATION

摘　　要：当前,城市智慧交通领域研究不断深入,尤其是在5G通信技术不断发展的今天,各种城市智慧交通技术、理念不断出现。从实际出发,当前智慧城市交通拥堵的预测方案多采用单向预测的方式,这种预测模式的效率较低,且预测精度不足,导致预测结果的均方误差较大,预测效果较差。为更好地满足城市智慧交通拥堵预测的需求,文中提出了一种基于5G通信的城市智慧交通拥堵预测模式。该模式在收集交通轨迹数据的基础上,采用多目标的模式,结合坐标设置,建立多目标预测矩阵,构建基于5G通信的城市智慧交通拥堵预测模型,最终得到相应的预测数据,确保预测均方误差可控,使预测结果更加精准、高效。Carrently,the research in the field of urban smart transportation continues to deepen,especially in today̓s continuous development of 5G communication technology,various urban smart transportation technologies and concepts continue to emerge.From the actual point of view,the current smart city traffic congestion prediction scheme mostly adopts the one-way prediction method,which has low efficiency and insufficient prediction accuracy,resulting in large mean square error of the prediction result and poor prediction effect.In order to better meet the needs of urban smart traffic congestion prediction,this paper proposes an urban smart traffic congestion prediction model based on 5G communication.On the basis of collecting traffic track data,this model adopts a multi-objective model,combined with coordinate settings,to establish a multi-objective prediction matrix,build a 5G communication-based urban smart traffic congestion prediction model,and finally obtain the corresponding prediction data to ensure that the prediction mean square error is controllable,making the prediction results more accurate and efficient.

关 键 词：5G通信技术 智慧交通 拥堵预测模型 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]