{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T02:33:19Z","timestamp":1789180399427,"version":"build-2803163510"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T00:00:00Z","timestamp":1643673600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1004803"],"award-info":[{"award-number":["2018YFB1004803"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773381"],"award-info":[{"award-number":["61773381"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1909204"],"award-info":[{"award-number":["U1909204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1811463"],"award-info":[{"award-number":["U1811463"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chinese Guangdong\u2019s S&T project","award":["2019B1515120030"],"award-info":[{"award-number":["2019B1515120030"]}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["3196669"],"award-info":[{"award-number":["3196669"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["319670"],"award-info":[{"award-number":["319670"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["325774"],"award-info":[{"award-number":["325774"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["325570"],"award-info":[{"award-number":["325570"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002341","name":"Academy of Finland","doi-asserted-by":"publisher","award":["326305"],"award-info":[{"award-number":["326305"]}],"id":[{"id":"10.13039\/501100002341","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1109\/tits.2020.3026836","type":"journal-article","created":{"date-parts":[[2020,10,7]],"date-time":"2020-10-07T19:35:04Z","timestamp":1602099304000},"page":"1456-1466","source":"Crossref","is-referenced-by-count":99,"title":["A Multi-Stream Feature Fusion Approach for Traffic Prediction"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3408-6300","authenticated-orcid":false,"given":"Zhishuai","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4303-5559","authenticated-orcid":false,"given":"Gang","family":"Xiong","sequence":"additional","affiliation":[{"name":"Beijing Engineering Research Center of Intelligent Systems and Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1911-5791","authenticated-orcid":false,"given":"Yonglin","family":"Tian","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7565-4979","authenticated-orcid":false,"given":"Yisheng","family":"Lv","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1886-3061","authenticated-orcid":false,"given":"Yuanyuan","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6026-1083","authenticated-orcid":false,"given":"Pan","family":"Hui","sequence":"additional","affiliation":[{"name":"Computer Science and Engineering Department, System and Media Laboratory (SyMLab), The Hong Kong University of Science and Technology, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1342-6759","authenticated-orcid":false,"given":"Xiang","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Helsinki, Helsinki, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2158001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/07408170600946473"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2622282"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2345663"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2016.7804912"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2491365"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2012.6338664"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/89\/58007"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.10.011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916778"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1080\/0305215X.2017.1351963"},{"issue":"5","key":"ref17","first-page":"86","article-title":"Constrained Kalman filter combined predictor for short-term traffic flow","volume":"8","author":"Nie","year":"2008","journal-title":"J. Traffic Transp. Eng."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/s0968-090x(97)82903-8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.07.069"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/asmb.1941"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2299542"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.03.022"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SNSP.2018.00069"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2018.2842249"},{"key":"ref25","first-page":"1243","article-title":"Convolutional sequence to sequence learning","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Gehring"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219895"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1117454.1117456"},{"key":"ref30","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Gilmer"},{"key":"ref31","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Progression Syst.","author":"Defferrard"},{"key":"ref32","article-title":"Semi-supervised classification with graph convolutional networks","volume":"abs\/1609.02907","author":"Kipf","year":"2016","journal-title":"CoRR"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2726981"},{"key":"ref34","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2018","journal-title":"arXiv:1710.10903"},{"key":"ref35","first-page":"1993","article-title":"Diffusion-convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Atwood"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-04167-0\\_33"},{"key":"ref37","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"Proc. Int. Conf. Learn. Represent.","author":"Li"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.216"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.01.020"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2017.12.005"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5220\/0007248401730180"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2010.04.005"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-5442(00)00046-3"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.03.017"},{"key":"ref46","article-title":"A context-aware attention network for interactive question answering","volume":"abs\/1612.07411","author":"Li","year":"2016","journal-title":"CoRR"},{"key":"ref47","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref48","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","author":"Clevert","year":"2015","journal-title":"arXiv:1511.07289"},{"key":"ref49","volume-title":"PeMS, Caltrans Performance Measurement System","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1088\/1749-4699\/8\/1\/014008"},{"key":"ref51","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural Inf. Progression Syst.","author":"Sutskever"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9701814\/09216590.pdf?arnumber=9216590","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:40:29Z","timestamp":1704843629000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9216590\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2]]},"references-count":51,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tits.2020.3026836","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2]]}}}