{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T14:11:33Z","timestamp":1776521493160,"version":"3.51.2"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB1600900"],"award-info":[{"award-number":["2018YFB1600900"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFB1600904"],"award-info":[{"award-number":["2018YFB1600904"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Zhejiang Provincial Natural Science Foundation of China","doi-asserted-by":"publisher","award":["LR17E080002"],"award-info":[{"award-number":["LR17E080002"]}],"id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71771198"],"award-info":[{"award-number":["71771198"]}],"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":["71961137005"],"award-info":[{"award-number":["71961137005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Young Elite Scientists Sponsorship Program by the China Association for Science and Technology","award":["2018QNRC001"],"award-info":[{"award-number":["2018QNRC001"]}]},{"name":"Key Research and Development Program of Zhejiang","award":["2018C01007"],"award-info":[{"award-number":["2018C01007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1109\/tits.2019.2932038","type":"journal-article","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T19:55:32Z","timestamp":1565294132000},"page":"3718-3729","source":"Crossref","is-referenced-by-count":32,"title":["Spatial\u2013Temporal Deep Tensor Neural Networks for Large-Scale Urban Network Speed Prediction"],"prefix":"10.1109","volume":"21","author":[{"given":"Lingxiao","family":"Zhou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1743-9787","authenticated-orcid":false,"given":"Shuaichao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingru","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8285-084X","authenticated-orcid":false,"given":"Xiqun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.03.001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.10.019"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.02.024"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)TE.1943-5436.0000435"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref36","first-page":"2588","article-title":"Deep multi-view spatial–temporal network for taxi demand prediction","author":"yao","year":"2018","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref35","year":"2019","journal-title":"Regional Integrated Transportation Information System Retrieved From"},{"key":"ref34","article-title":"Short-term traffic forecasting: Modeling and learning spatio-temporal relations in transportation networks using graph neural networks","author":"shahsavari","year":"2015"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2003.08.005"},{"key":"ref11","first-page":"43","article-title":"Exponential filtering of traffic data","volume":"869","author":"ross","year":"1982","journal-title":"Transp Res Rec"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2010.10.005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869623"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(1991)117:2(178)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.837813"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICACI.2016.7449818"},{"key":"ref17","first-page":"193","article-title":"Traffic flow prediction using Adaboost algorithm with random forests as a weak learner","volume":"19","author":"leshem","year":"2007","journal-title":"Proc World Acad Sci Eng Technol"},{"key":"ref18","article-title":"Ensemble learning for short-term traffic prediction based on gradient boosting machine","volume":"2017","author":"yang","year":"2017","journal-title":"SENSORS"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.02.019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2018.05.009"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2488593"},{"key":"ref27","first-page":"865","article-title":"Traffic flow prediction with big data: A deep learning approach","volume":"16","author":"lv","year":"2015","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref3","first-page":"1","article-title":"Analysis of freeway traffic time-series data by using box-jenkins techniques","volume":"722","author":"ahmed","year":"1979","journal-title":"Transp Res Rec"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2703652"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2011.09.008"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2200474"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2311123"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.01.005"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/s17040818"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2010.2060218"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/15472450802262281"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.06.011"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/15472450600798551"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2016.7804912"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.trc.2010.10.004","article-title":"Statistical methods versus neural networks in transportation research: Differences, similarities and some insights","volume":"19","author":"vlahogianni","year":"2011","journal-title":"Transp Res C Emerg Technol"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.10.016"},{"key":"ref25","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"60","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9179974\/08792396.pdf?arnumber=8792396","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T16:02:46Z","timestamp":1651075366000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8792396\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":38,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tits.2019.2932038","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9]]}}}