{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T22:21:19Z","timestamp":1777501279734,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61822102"],"award-info":[{"award-number":["61822102"]}],"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":["U2033215"],"award-info":[{"award-number":["U2033215"]}],"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":["U1833125"],"award-info":[{"award-number":["U1833125"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1109\/tits.2021.3103502","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T20:05:02Z","timestamp":1628798702000},"page":"11397-11407","source":"Crossref","is-referenced-by-count":73,"title":["A Deep Learning Approach for Flight Delay Prediction Through Time-Evolving Graphs"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2108-291X","authenticated-orcid":false,"given":"Kaiquan","family":"Cai","sequence":"first","affiliation":[{"name":"School of Electronics and Information Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9508-5147","authenticated-orcid":false,"given":"Yue","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0096-3539","authenticated-orcid":false,"given":"Yi-Ping","family":"Fang","sequence":"additional","affiliation":[{"name":"Laboratoire G&#x00E9;nie Industriel, Centrale-Sup&#x00E9;lec, Universit&#x00E9; Paris-Saclay, Gif-sur-Yvette, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4579-795X","authenticated-orcid":false,"given":"Yanbo","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Beihang University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Annual Review 2019","year":"2020"},{"key":"ref2","volume-title":"Annual Network Operations Report 2019","year":"2020"},{"key":"ref3","volume-title":"Bureau of Transportation Statistics, Airline Service Quality Performance","year":"2020"},{"key":"ref4","volume-title":"Bulletin on the Development of the Civil Aviation Industry in 2019","year":"2020"},{"key":"ref5","volume-title":"IATA Economics","year":"2020"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.04.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1198\/016214507000000257"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3141\/2177-11"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.2514\/6.2012-4975"},{"key":"ref10","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","volume-title":"arXiv:1709.04875","author":"Yu","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/DASC.2016.7778092"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2957874"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2954094"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2014.07.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2514\/6.2019-1661"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2019.03.013"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2018.08.014"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2673247"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2868955"},{"key":"ref20","first-page":"23","article-title":"Modelling delay propagation trees for scheduled flights","volume-title":"Proc. 11th USA\/Europe Air Traffic Manage. Res. Develop. Seminar","author":"Ciruelos"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2996301"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3037191"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2011.05.017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2018.11.004"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3052954"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2958352"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3006122"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2989365"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2983651"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950416"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2963722"},{"key":"ref33","article-title":"Stgrat: A spatio-temporal graph attention network for traffic forecasting","volume-title":"arXiv:1911.13181","author":"Park","year":"2019"},{"key":"ref34","article-title":"A comprehensive survey on traffic prediction","volume-title":"arXiv:2004.08555","author":"Yin","year":"2020"},{"key":"ref35","article-title":"How to build a graph-based deep learning architecture in traffic domain: A survey","volume-title":"arXiv:2005.11691","author":"Ye","year":"2020"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974973.87"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330884"},{"key":"ref38","article-title":"GaAN: Gated attention networks for learning on large and spatiotemporal graphs","volume-title":"arXiv:1803.07294","author":"Zhang","year":"2018"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330847"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01230"},{"key":"ref42","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"arXiv:1609.02907","author":"Kipf","year":"2016"},{"key":"ref43","article-title":"Recurrent models of visual attention","volume-title":"arXiv:1406.6247","author":"Mnih","year":"2014"},{"issue":"1","key":"ref44","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":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2004.837813"},{"key":"ref46","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","volume-title":"arXiv:1707.01926","author":"Li","year":"2017"},{"key":"ref47","volume-title":"The Analysis of Variance","volume":"72","author":"Scheffe","year":"1999"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2511156"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2843349"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2997352"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9853713\/09512525.pdf?arnumber=9512525","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:11:47Z","timestamp":1705014707000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9512525\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":50,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3103502","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8]]}}}