{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T05:58:07Z","timestamp":1770962287520,"version":"3.50.1"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1109\/jstsp.2015.2389196","type":"journal-article","created":{"date-parts":[[2015,1,6]],"date-time":"2015-01-06T19:59:00Z","timestamp":1420574340000},"page":"702-715","source":"Crossref","is-referenced-by-count":55,"title":["Mining the Situation: Spatiotemporal Traffic Prediction With Big Data"],"prefix":"10.1109","volume":"9","author":[{"given":"Jie","family":"Xu","sequence":"first","affiliation":[]},{"given":"Dingxiong","family":"Deng","sequence":"additional","affiliation":[]},{"given":"Ugur","family":"Demiryurek","sequence":"additional","affiliation":[]},{"given":"Cyrus","family":"Shahabi","sequence":"additional","affiliation":[]},{"given":"Mihaela","family":"van der Schaar","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2607(89)90086-1"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2190282"},{"key":"ref12","article-title":"Naive Bayesian classifier for incident duration prediction","author":"stephen","year":"2007","journal-title":"Transportation Res Board"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2008.4732693"},{"key":"ref14","article-title":"The components of congestion: delay from incidents, special events, lane closures, weather, potential ramp metering gain, and demand","author":"kwon","year":"2006","journal-title":"Proceedings 85th Annual Meeting on Transportation"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007330508534"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/312129.312283"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1006\/inco.1994.1009"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007335615132"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1109\/TETC.2014.2386133","article-title":"Discover the expert: Context-adaptive expert selection for medical diagnosis","author":"tekin","year":"2015","journal-title":"IEEE J Emerging Topics Comput"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020571"},{"key":"ref27","article-title":"Timely popularity forecasting based on social networks","author":"xu","year":"2015","journal-title":"Proc IEEE InfoCom"},{"key":"ref3","year":"0","journal-title":"?The highway system ?"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2012.52"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2346496.2346502"},{"key":"ref8","article-title":"Application of subset autoregressive integrated moving average model for short-term freeway traffic volume forecasting","author":"lee","year":"1998","journal-title":"Proc TRR98"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2013.44"},{"key":"ref2","year":"0","journal-title":"?Annual vehicle miles of travel ?"},{"key":"ref1","year":"0","journal-title":"?What congestion means to your town 2007 urban area totals ?"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2009.230"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007424614876"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-010-0420-4"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025619426553"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/Allerton.2013.6736696"},{"key":"ref23","article-title":"Contextual bandits with similarity information","author":"slivkins","year":"2009","journal-title":"ArXiv preprint arXiv 0907 3986"},{"key":"ref26","article-title":"Learning optimal classifier chains for real-time big data mining","author":"xu","year":"2013","journal-title":"Proc 51st Annu Allerton Conf Commun Control Comput"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2014.2299517"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/7105973\/07001625.pdf?arnumber=7001625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:01:58Z","timestamp":1642003318000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/7001625\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6]]},"references-count":28,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2015.2389196","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"value":"1932-4553","type":"print"},{"value":"1941-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6]]}}}