{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T05:16:49Z","timestamp":1770268609135,"version":"3.49.0"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017668","name":"Zhejiang Provincial Key Research and Development Plan","doi-asserted-by":"publisher","award":["2024C01212"],"award-info":[{"award-number":["2024C01212"]}],"id":[{"id":"10.13039\/501100017668","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017668","name":"Zhejiang Provincial Key Research and Development Plan","doi-asserted-by":"publisher","award":["2024C01026"],"award-info":[{"award-number":["2024C01026"]}],"id":[{"id":"10.13039\/501100017668","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/tits.2025.3582356","type":"journal-article","created":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T13:52:23Z","timestamp":1751637143000},"page":"18129-18144","source":"Crossref","is-referenced-by-count":2,"title":["DT-CTFP: 6G-Enabled Digital Twin Collaborative Traffic Flow Prediction"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0259-9427","authenticated-orcid":false,"given":"Baofu","family":"Wu","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0241-0727","authenticated-orcid":false,"given":"Jilin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"given":"Junfeng","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2026-417X","authenticated-orcid":false,"given":"Yan","family":"Zeng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"given":"Peng","family":"Zhan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7565-4111","authenticated-orcid":false,"given":"Yuyu","family":"Yin","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9882-3029","authenticated-orcid":false,"given":"Jian","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6861-9684","authenticated-orcid":false,"given":"Honghao","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.03.001"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2023.102929"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3362515"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0355-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2021.3057679"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.06.017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2873186"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113524"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.21143"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330654"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IWQoS49365.2020.9213008"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103185"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449816"},{"key":"ref14","article-title":"Discrete graph structure learning for forecasting multiple time series","author":"Shang","year":"2021","journal-title":"arXiv:2101.06861"},{"key":"ref15","first-page":"1","article-title":"TAMP-S2GCNets: Coupling time-aware multipersistence knowledge representation with spatio-supra graph convolutional networks for time-series forecasting","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Chen"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3510829"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3215493"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3468472"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103709"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2021.07.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103228"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3011700"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2979634"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20587"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2022.2032081"},{"key":"ref27","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"Li","year":"2017","journal-title":"arXiv:1707.01926"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5438"},{"key":"ref30","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv:1710.10903"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3469877.3495645"},{"key":"ref32","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","volume":"70","author":"Finn"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICEIEC49280.2020.9152261"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358106"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939830"},{"key":"ref36","article-title":"Cross-city transfer learning for deep spatio-temporal prediction","author":"Wang","year":"2018","journal-title":"arXiv:1802.00386"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313577"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330884"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539281"},{"key":"ref40","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Shi"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04954-0"},{"key":"ref42","article-title":"Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting","author":"Yu","year":"2017","journal-title":"arXiv:1709.04875"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref44","first-page":"17804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume-title":"Proc. NIPS","author":"Bai"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07285-3"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467430"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106044"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11220917\/11071962.pdf?arnumber=11071962","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:05:31Z","timestamp":1761847531000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11071962\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":48,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3582356","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}