{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T18:23:11Z","timestamp":1767378191941,"version":"3.48.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation General Fund","doi-asserted-by":"publisher","award":["2023M731282"],"award-info":[{"award-number":["2023M731282"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tits.2025.3624548","type":"journal-article","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T18:46:33Z","timestamp":1762195593000},"page":"759-771","source":"Crossref","is-referenced-by-count":0,"title":["Spatiotemporal-Decoupled Training: Enhancing Car-Following Behavior Modeling With Cross-Spatiotemporal Generalization"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-1189-8678","authenticated-orcid":false,"given":"Zhigang","family":"Liang","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1809-1179","authenticated-orcid":false,"given":"Ruichen","family":"Xu","sequence":"additional","affiliation":[{"name":"Intelligent Electronic System Testing Center, Shanghai Motor Vehicle Inspection Certification and Tech Innovation Center Company Ltd., Shanghai, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2277-8871","authenticated-orcid":false,"given":"Tingyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7701-8511","authenticated-orcid":false,"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2821-3865","authenticated-orcid":false,"given":"Shuyi","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2105-6310","authenticated-orcid":false,"given":"Xinyu","family":"Yong","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-32460-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/itsc.2018.8569552"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/itsc57777.2023.10422574"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103490"},{"volume-title":"Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data","year":"2016","key":"ref5"},{"volume-title":"Deep Learning","year":"2016","author":"Goodfellow","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(81)90037-0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.51.1035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.58.5429"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.62.1805"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3409468"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tsmca.2012.2192262"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2013.09.010"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2006.884616"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2018.09.136"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2017.2706963"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2949305"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104275"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3380708"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3334909"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2024.3433563"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/wevj14120341"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104183"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2018.2854827"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.4086626"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3384671"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2024.109901"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/itsc.2019.8917308"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103987"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.10.024"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4752651"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s20185034"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2024.104872"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2023.3270336"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/23249935.2022.2035846"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3245362"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2024.104772"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8816681"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref40","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2020.3031282"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1061\/jtepbs.0000430"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02718-7"},{"key":"ref44","article-title":"On the generalization benefit of noise in stochastic gradient descent","author":"Smith","year":"2020","journal-title":"arXiv:2006.15081"},{"key":"ref45","article-title":"Towards understanding the importance of noise in training neural networks","author":"Zhou","year":"2019","journal-title":"arXiv:1909.03172"},{"key":"ref46","first-page":"7654","article-title":"The anisotropic noise in stochastic gradient descent: Its behavior of escaping from sharp minima and regularization effects","volume-title":"Proc. Int. Conf. Mach. Learn.","volume":"97","author":"Zhu"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2022.3174042"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.4.494"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2010.12.007"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2015.06.010"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102785"},{"key":"ref52","first-page":"13","article-title":"The hysteresis phenomenon in traffic flow","volume":"6","author":"Treiterer","year":"1974","journal-title":"Transportation & Traffic Theory"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2010.07.006"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11322649\/11224402.pdf?arnumber=11224402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T18:17:51Z","timestamp":1767377871000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11224402\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":53,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3624548","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}