{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T10:14:40Z","timestamp":1778753680313,"version":"3.51.4"},"reference-count":30,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2019,11,1]],"date-time":"2019-11-01T00:00:00Z","timestamp":1572566400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"national natural science foundation of china","doi-asserted-by":"publisher","award":["61802343"],"award-info":[{"award-number":["61802343"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Distributed Sensor Networks"],"published-print":{"date-parts":[[2019,11]]},"abstract":"<jats:p> To discover road anomalies, a large number of detection methods have been proposed. Most of them apply classification techniques by extracting time and frequency features from the acceleration data. Existing methods are time-consuming since these methods perform on the whole datasets. In addition, few of them pay attention to the similarity of the data itself when vehicle passes over the road anomalies. In this article, we propose QF-COTE, a real-time road anomaly detection system via mobile edge computing. Specifically, QF-COTE consists of two phases: (1) Quick filter. This phase is designed to roughly extract road anomaly segments by applying random forest filter and can be performed on the edge node. (2) Road anomaly detection. In this phase, we utilize collective of transformation-based ensembles to detect road anomalies and can be performed on the cloud node. We show that our method performs clearly beyond some existing methods in both detection performance and running time. To support this conclusion, experiments are conducted based on two real-world data sets and the results are statistically analyzed. We also conduct two experiments to explore the influence of velocity and sample rate. We expect to lay the first step to some new thoughts to the field of real-time road anomalies detection in subsequent work. <\/jats:p>","DOI":"10.1177\/1550147719891319","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T12:01:11Z","timestamp":1575288071000},"page":"155014771989131","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":19,"title":["Enabling real-time road anomaly detection via mobile edge computing"],"prefix":"10.1177","volume":"15","author":[{"given":"Zengwei","family":"Zheng","sequence":"first","affiliation":[{"name":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0806-3669","authenticated-orcid":false,"given":"Mingxuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"},{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyi","family":"Chen","sequence":"additional","affiliation":[{"name":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meimei","family":"Huo","sequence":"additional","affiliation":[{"name":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Chen","sequence":"additional","affiliation":[{"name":"Hangzhou Key Laboratory for IoT Technology & Application, Zhejiang University City College, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,12,2]]},"reference":[{"key":"bibr1-1550147719891319","first-page":"217","volume-title":"2017 IEEE international conference on pervasive computing and communications (PerCom)","author":"Seraj F"},{"key":"bibr2-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2773084"},{"key":"bibr3-1550147719891319","first-page":"323","volume-title":"Proceedings of the 6th ACM conference on embedded network sensor systems (SenSys \u201908)","author":"Mohan P"},{"key":"bibr4-1550147719891319","first-page":"417","volume-title":"International conference on networked digital technologies","author":"Mednis A"},{"key":"bibr5-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2680468"},{"key":"bibr6-1550147719891319","first-page":"29","volume-title":"Proceedings of the 6th international conference on mobile systems, applications, and services (MobiSys \u201908)","author":"Eriksson J"},{"key":"bibr7-1550147719891319","first-page":"1","volume-title":"2011 international conference on distributed computing in sensor systems and workshops (DCOSS)","author":"Mednis A"},{"key":"bibr8-1550147719891319","volume-title":"Proceedings of the 8th international conference on ubiquitous intelligence and computing (UIC \u201811)","author":"Perttunen M"},{"key":"bibr9-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-29009-6_7"},{"key":"bibr10-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-48799-1_45"},{"key":"bibr11-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2807408"},{"key":"bibr12-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2662483"},{"key":"bibr13-1550147719891319","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39065-4_36"},{"key":"bibr14-1550147719891319","first-page":"828","volume-title":"2017 IEEE global conference on signal and information processing (GlobalSIP)","author":"El-Wakeel AS"},{"key":"bibr15-1550147719891319","first-page":"356","volume-title":"2015 IEEE international conference on computer and information technology; 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