{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T19:21:14Z","timestamp":1770492074051,"version":"3.49.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Project of Key Science Foundation of Yunnan Province","award":["202101AS070007"],"award-info":[{"award-number":["202101AS070007"]}]},{"name":"Dou Wanchun Expert Workstation of Yunnan Province","award":["202105AF150013"],"award-info":[{"award-number":["202105AF150013"]}]},{"DOI":"10.13039\/501100001809","name":"Project of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61862065"],"award-info":[{"award-number":["61862065"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Project of National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12163004"],"award-info":[{"award-number":["12163004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018531","name":"Major Project of Science and Technology of Yunnan Province","doi-asserted-by":"publisher","award":["202002AD080002"],"award-info":[{"award-number":["202002AD080002"]}],"id":[{"id":"10.13039\/501100018531","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Science and Technology of Yunnan Province","award":["202001AT070135"],"award-info":[{"award-number":["202001AT070135"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/tits.2022.3179789","type":"journal-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T20:37:46Z","timestamp":1654893466000},"page":"19782-19794","source":"Crossref","is-referenced-by-count":16,"title":["ST-InNet: Deep Spatio-Temporal Inception Networks for Traffic Flow Prediction in Smart Cities"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6469-357X","authenticated-orcid":false,"given":"Fei","family":"Dai","sequence":"first","affiliation":[{"name":"School of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China"}]},{"given":"Penggui","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Big Data and Intelligent Engineering, Southwest Forestry University, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3438-5303","authenticated-orcid":false,"given":"Qi","family":"Mo","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan University, Kunming, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4879-9803","authenticated-orcid":false,"given":"Xiaolong","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4221-0877","authenticated-orcid":false,"given":"Muhammad","family":"Bilal","sequence":"additional","affiliation":[{"name":"Division of Computer and Electronics Systems Engineering, Hankuk University of Foreign Studies, Yongin-si, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2631-9223","authenticated-orcid":false,"given":"Houbing","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Science, Security and Optimization for Networked Globe Laboratory (SONG Lab), Embry-Riddle Aeronautical University, Daytona Beach, FL, USA"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref38","first-page":"1","article-title":"Dynamic spatial-temporal representation learning for traffic flow prediction","volume":"22","author":"liu","year":"2020","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2498408"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MTITS.2015.7223242"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2006.869623"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2993262"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3038788"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2016.7804912"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/SmartCity.2015.63"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2016.0208"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330884"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2017.03.005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2994415"},{"key":"ref13","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":"ref14","first-page":"1","article-title":"T-GCN: A temporal graph convolutional network for traffic prediction","volume":"21","author":"zhao","year":"2019","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/s17040818"},{"key":"ref17","doi-asserted-by":"crossref","DOI":"10.1155\/2019\/4145353","article-title":"Spatiotemporal traffic flow prediction with KNN and LSTM","volume":"2019","author":"luo","year":"2019","journal-title":"J Adv Transp"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916778"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(93)90039-D"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(664)"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2018.07.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3141\/1857-09"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1155\/2020\/9263605","article-title":"Vehicle fuel consumption prediction method based on driving behavior data collected from smartphones","volume":"2020","author":"yao","year":"2020","journal-title":"J Adv Transp"},{"key":"ref6","year":"2020","journal-title":"EU Transport Policy"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.837813"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2934991"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10735"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-818886-6.00014-9"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/B0-12-176480-X\/00191-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2906365"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s20247209"},{"key":"ref20","first-page":"317","article-title":"On kinematic waves II. A theory of traffic flow on long crowded roads","volume":"229","author":"lighthill","year":"1955","journal-title":"Proc Roy Soc London A Math Phys Sci"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-18347-3_1"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2010.2041976"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2020.3040180"},{"key":"ref41","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc 3rd Int Conf Learn Represent"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2005.1520188"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/S0968-090X(97)82903-8"},{"key":"ref25","first-page":"1","article-title":"Analysis of freeway traffic time-series data by using box-Jenkins techniques","author":"ahmed","year":"1979","journal-title":"Transp Res Rec"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9916643\/09793390.pdf?arnumber=9793390","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T22:45:14Z","timestamp":1670280314000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9793390\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":41,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2022.3179789","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}