{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T14:27:06Z","timestamp":1771079226376,"version":"3.50.1"},"reference-count":34,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2023,6,19]],"date-time":"2023-06-19T00:00:00Z","timestamp":1687132800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Research Program of Sanya Yazhou Bay Science and Technology City","award":["SKJC-2020-01-009"],"award-info":[{"award-number":["SKJC-2020-01-009"]}]},{"name":"Research Program of Sanya Yazhou Bay Science and Technology City","award":["XDA22040105"],"award-info":[{"award-number":["XDA22040105"]}]},{"name":"Research Program of Sanya Yazhou Bay Science and Technology City","award":["61875184"],"award-info":[{"award-number":["61875184"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["SKJC-2020-01-009"],"award-info":[{"award-number":["SKJC-2020-01-009"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA22040105"],"award-info":[{"award-number":["XDA22040105"]}]},{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["61875184"],"award-info":[{"award-number":["61875184"]}]},{"name":"National Natural Science Foundation of China","award":["SKJC-2020-01-009"],"award-info":[{"award-number":["SKJC-2020-01-009"]}]},{"name":"National Natural Science Foundation of China","award":["XDA22040105"],"award-info":[{"award-number":["XDA22040105"]}]},{"name":"National Natural Science Foundation of China","award":["61875184"],"award-info":[{"award-number":["61875184"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Distributed Acoustic Sensing (DAS) is a novel technology that uses fiber optics to sense and monitor vibrations. It has demonstrated immense potential for various applications, including seismology research, traffic vibration detection, structural health inspection, and lifeline engineering. DAS technology transforms long sections of fiber optic cables into a high\u2212density array of vibration sensors, providing exceptional spatial and temporal resolution for real\u2212time monitoring of vibrations. Obtaining high\u2212quality vibration data using DAS requires a robust coupling between the fiber optic cable and the ground layer. The study utilized the DAS system to detect vibration signals generated by vehicles operating on the campus road of Beijing Jiaotong University. Three distinct deployment methods were employed: the uncoupled fiber on the road, the underground communication fiber optic cable ducts, and the cement\u2212bonded fixed fiber optic cable on the road shoulder, and compared for their outcomes. Vehicle vibration signals under the three deployment methods were analyzed using an improved wavelet threshold algorithm, which was verified to be effective. The results indicate that for practical applications, the most effective deployment method is the cement\u2212bonded fixed fiber optic cable on the road shoulder, followed by the uncoupled fiber on the road, and the underground communication fiber optic cable ducts are the least effective. This has important implications for the future development of DAS as a tool for various fields.<\/jats:p>","DOI":"10.3390\/s23125727","type":"journal-article","created":{"date-parts":[[2023,6,20]],"date-time":"2023-06-20T02:26:56Z","timestamp":1687228016000},"page":"5727","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Traffic Vibration Signal Analysis of DAS Fiber Optic Cables with Different Coupling Based on an Improved Wavelet Thresholding Method"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4564-0165","authenticated-orcid":false,"given":"Yuhang","family":"An","sequence":"first","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Jihui","family":"Ma","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1128-0944","authenticated-orcid":false,"given":"Tuanwei","family":"Xu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Transducer Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China"},{"name":"College of Materials Science and Opto\u2212Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2486-3420","authenticated-orcid":false,"given":"Yunpeng","family":"Cai","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China"}]},{"given":"Huiyong","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Management, Beijing Information Science and Technology University, Beijing 100192, China"}]},{"given":"Yuting","family":"Sun","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1630-5680","authenticated-orcid":false,"given":"Wenfa","family":"Yan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1109\/MVT.2009.935537","article-title":"Intelligent Transportation Systems","volume":"5","author":"Dimitrakopoulos","year":"2010","journal-title":"IEEE Veh. 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