{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T14:03:06Z","timestamp":1762956186821,"version":"3.28.0"},"reference-count":44,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/mtits.2019.8883338","type":"proceedings-article","created":{"date-parts":[[2019,10,29]],"date-time":"2019-10-29T00:29:05Z","timestamp":1572308945000},"page":"1-9","source":"Crossref","is-referenced-by-count":4,"title":["Adaptable Anomaly Detection in Traffic Flow Time Series"],"prefix":"10.1109","author":[{"given":"Md Rakibul","family":"Alam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilias","family":"Gerostathopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sasan","family":"Amini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Prehofer","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandro","family":"Attanasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/IITSI.2010.74"},{"year":"0","key":"ref38","article-title":"PTV Group SISTeMA"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45681-3_2"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/342009.335437"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s007780050006"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2015.06.001"},{"article-title":"Lstm-based encoder-decoder for multi-sensor anomaly detection","year":"2016","author":"malhotra","key":"ref36"},{"key":"ref35","first-page":"89","article-title":"Long short term memory networks for anomaly detection in time series","author":"malhotra","year":"2015","journal-title":"Proceedings"},{"key":"ref34","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proceedings of the Second International Conference on Knowledge Discovery and Data Mining"},{"key":"ref10","article-title":"Bus and car travel time on urban networks : integrating Bluetooth and bus vehicle identification data","author":"kieu","year":"2012","journal-title":"25th ARRB Conference Shaping the future Linking Policy Research and Outcomes"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3_4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177729885"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/1268354"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4193"},{"key":"ref14","article-title":"An enhanced seasonal-hybrid esd technique for robust anomaly detection on time series","volume":"36","author":"vieira","year":"2018","journal-title":"Simpósio Brasileiro de Redes de Computadores"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/66.2.229"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176350027"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1972.tb00912.x"},{"key":"ref18","first-page":"532","article-title":"Effect of exogenous interventions on the estimation of time series parameters","author":"chang","year":"1983","journal-title":"Business and Economic Statistics Section of the American Statistical Association"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.2307\/2288114"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2116\/analsci.21.161"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1541880.1541882"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1002\/for.768"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1007730.1007734"},{"journal-title":"Robust Regression and Outlier Detection","year":"1987","author":"leroy","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02384-3_6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/RISP.1990.63857"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1023\/B:AIRE.0000045502.10941.a9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2003.07.018"},{"key":"ref2","first-page":"153","article-title":"Overview to some existing incident detection algorithms: a comparative evaluation","volume":"2","author":"deniz","year":"2011","journal-title":"Procedia-Social and Behavioral Sciences"},{"key":"ref9","volume":"2","author":"tukey","year":"1977","journal-title":"Exploratory Data Analysis"},{"journal-title":"Outliers in Statistical Data","year":"1994","author":"barnett","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1986.10478250"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.2307\/2288050"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.2307\/2531322"},{"journal-title":"Forecasting Principles and Practice","year":"2018","author":"hyndman","key":"ref42"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2307\/1266540"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-19369-4_5"},{"key":"ref23","first-page":"359","article-title":"Learning to predict rare events in event sequences","author":"weiss","year":"1998","journal-title":"KDD"},{"journal-title":"How to Detect and Handle Outliers","year":"1993","author":"iglewicz","key":"ref44"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1273\/cbij.3.30"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICSA.2019.00029"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1117\/12.150246","article-title":"Outlier detection and motion segmentation","volume":"2059","author":"torr","year":"1993","journal-title":"Sensor Fusion VI"}],"event":{"name":"2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)","start":{"date-parts":[[2019,6,5]]},"location":"Cracow, Poland","end":{"date-parts":[[2019,6,7]]}},"container-title":["2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8882116\/8883282\/08883338.pdf?arnumber=8883338","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:54:51Z","timestamp":1658094891000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8883338\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":44,"URL":"https:\/\/doi.org\/10.1109\/mtits.2019.8883338","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}