Identification technology for city freeway users based on XDR big data analysis

Baoyou WANG; Saibin YAO; Jiucheng HUANG; Hui PAN

doi:10.11959/j.issn.1000-0801.2021214

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Identification technology for city freeway users based on XDR big data analysis

Engineering and Application | 更新时间：2024-06-05

- Identification technology for city freeway users based on XDR big data analysis
- Telecommunications Science Vol. 37, Issue 11, Pages: 135-142(2021)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2021214
  CLC： TN929.5
- Published Online：2021-11，
  
  Published：20 November 2021
- 稿件说明：
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Baoyou WANG, Saibin YAO, Jiucheng HUANG, et al. Identification technology for city freeway users based on XDR big data analysis[J]. Telecommunications science, 2021, 37(11): 135-142.
DOI：

Baoyou WANG, Saibin YAO, Jiucheng HUANG, et al. Identification technology for city freeway users based on XDR big data analysis[J]. Telecommunications science, 2021, 37(11): 135-142. DOI： 10.11959/j.issn.1000-0801.2021214.

摘要

城市高架路场景下，用户行驶速度相对较快、人流密集，客户对通信体验要求更高。首先，介绍了网络质量管控大数据平台体系架构；其次，设计了基于XDR大数据分析的高架用户识别的算法；最后，通过XDR大数据分析处理，与高架路段指纹库匹配，输出高架用户运动轨迹，提升了高架用户识别准确性，为高架路无线网络质量监控提供辅助支撑。

Abstract

In the scene of city freeway

the driving speed is relatively faster

the flow of people is denser

and the customers have higher requirements for communication experience.Firstly

the architecture of big data platform for mobile network quality control was introduced.Then

the identification algorithm for city freeway users based on XDR big data analysis was proposed.Finally

through XDR big data analyzing and processing

the user track on freeway was output

which followed by matching with the fingerprints database of freeways.The identification accuracy for city freeway users was improved

and wireless network quality monitoring of city freeways was supported.

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references

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