@inproceedings{45346a4356c847ee8e256483093a0b89,
title = "KIMII: A System for Highway Key Information Identification and Multi-source Data Integration",
abstract = "With the development of smart highways, the integration and analysis of multi-source highway data face challenges due to varying sensor sampling rates. To address this, we propose KIMII, an integrated management system for highway data that establishes bidirectional associations between dynamic response data (key information) and static data. KIMII incorporates three key technologies: a rapid key information identification method, hierarchical indexing technique, and adaptive window matching algorithm. The system features automatic key information annotation, bidirectional dynamic-static data querying, time-window visualization, and a user-friendly interface. Experimental results demonstrate that KIMII effectively supports comprehensive highway health analysis through multi-source data integration.",
keywords = "Highways Dynamic Data, Indexing Technique, Integrated Management System, Key Information Identification",
author = "Yushuai Fei and Zhixin Qi and Zemin Chao and Zejiao Dong and Hongzhi Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 9th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2025 ; Conference date: 28-08-2025 Through 30-08-2025",
year = "2026",
doi = "10.1007/978-981-95-5722-6\_32",
language = "英语",
isbn = "9789819557219",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "304--308",
editor = "Jiajia Li and Richard Chbeir and Lei Li and Chuanyu Zong and Yanfeng Zhang and Mengxuan Zhang",
booktitle = "Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Proceedings",
address = "德国",
}