{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T10:53:52Z","timestamp":1790679232171,"version":"4.1.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Chung-Ang University Excellent Student Scholarship"},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Korean Government","award":["2018R1A2B2004092"],"award-info":[{"award-number":["2018R1A2B2004092"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Veh. Technol."],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1109\/tvt.2018.2885366","type":"journal-article","created":{"date-parts":[[2018,12,7]],"date-time":"2018-12-07T00:12:16Z","timestamp":1544141536000},"page":"1188-1197","source":"Crossref","is-referenced-by-count":46,"title":["Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies"],"prefix":"10.1109","volume":"68","author":[{"given":"Dohyoung","family":"Jo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byeonghyeop","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyunjeong","family":"Jeon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7270-7094","authenticated-orcid":false,"given":"Keemin","family":"Sohn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3115\/1072133.1072204"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2732029"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/0144164042000195072"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/9236156"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(94)90002-7"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.11.002"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2006.883735"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12221"},{"key":"ref34","first-page":"265","article-title":"On optimization methods for deep learning","volume":"2","author":"le","year":"0","journal-title":"Proc Int Conf Int Conf Mach Learn"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(664)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-090X(03)00004-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2004.05.012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1080\/15472450902858368"},{"key":"ref14","first-page":"3712","article-title":"Multivariate short-term traffic flow forecasting using Bayesian vector autoregressive moving average model","author":"mai","year":"0","journal-title":"Proc Annu Meeting Transp Res Board"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(608)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2006.1707357"},{"key":"ref17","first-page":"31","article-title":"An unscented Kalman filter for freeway traffic estimation","author":"mihaylova","year":"0","journal-title":"11th IFAC Symp Control Transp Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2007.4357755"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.837813"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2345663"},{"key":"ref4","doi-asserted-by":"crossref","DOI":"10.3390\/s17071501","article-title":"Spatiotemporal recurrent convolutional networks for traffic prediction in transportation networks","volume":"17","author":"yu","year":"2017","journal-title":"SENSORS"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2311123"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.3390\/s17040818","article-title":"Learning traffic as images: A deep convolutional neural network for large-scale transportation network speed prediction","volume":"17","author":"ma","year":"2017","journal-title":"SENSORS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.014"},{"key":"ref5","article-title":"Short-term traffic forecasting: Modeling and learning spatio-temporal relations in transportation networks using graph neural networks","author":"shahsavari","year":"2015"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.02.099"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.099"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2017.1394192"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.08.005"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.08.004"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2290285"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/15472450.2013.771107"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1111\/mice.12221"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2016.09.041"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1061\/9780784479896.026"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.11.002"}],"container-title":["IEEE Transactions on Vehicular Technology"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/25\/8640274\/08565993.pdf?arnumber=8565993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:10:30Z","timestamp":1657746630000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8565993\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2]]},"references-count":38,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tvt.2018.2885366","relation":{},"ISSN":["0018-9545","1939-9359"],"issn-type":[{"value":"0018-9545","type":"print"},{"value":"1939-9359","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2]]}}}