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Egret: Massive Highway Monitoring Time Series Data Sharing System

  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the monitoring of highways continues to advance, the data acquisition frequency of monitoring sensors has reached up to 2000 Hz. Developing an efficient highway monitoring data sharing system becomes crucial for analyzing highway health conditions and facilitating maintenance activities. However, the volume of data from highway monitoring is enormous, with a low proportion of effective information. This poses a significant challenge for the efficient sharing of highway monitoring data. To face this challenge, we develop Egret, a massive highway monitoring time series data sharing system, which addresses the characteristics of highway monitoring data on top of a general data sharing system. The system provides users with data online query, data application download, remote real-time monitoring, and other functions. Egret also provides user-friendly interfaces with the ability to interact with the key information in real-time based on user behavior. In this paper, we clarify the relevant functions, key technologies, and application scenarios of Egret.

Original languageEnglish
Title of host publicationWeb and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Proceedings
EditorsJiajia Li, Richard Chbeir, Lei Li, Chuanyu Zong, Yanfeng Zhang, Mengxuan Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages284-288
Number of pages5
ISBN (Print)9789819557219
DOIs
StatePublished - 2026
Event9th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2025 - Shenyang, China
Duration: 28 Aug 202530 Aug 2025

Publication series

NameLecture Notes in Computer Science
Volume16116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2025
Country/TerritoryChina
CityShenyang
Period28/08/2530/08/25

Keywords

  • Highway Monitoring Data
  • Interactive Data Sharing
  • Real-time Data Processing

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