{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T23:13:50Z","timestamp":1792797230340,"version":"4.5.0"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["61790574"],"award-info":[{"award-number":["61790574"]}],"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":["61773111"],"award-info":[{"award-number":["61773111"]}],"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":["U1834211"],"award-info":[{"award-number":["U1834211"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science and Technology Project of China National Railway Group Corporation Ltd.","award":["N2019G020"],"award-info":[{"award-number":["N2019G020"]}]},{"name":"Alexander von Humboldt Professorship for Artificial Intelligence Endowed by the Germany Federal Ministry of Education and Research","id":[{"id":"https:\/\/ror.org\/04pz7b180","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tits.2023.3305074","type":"journal-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T13:47:54Z","timestamp":1692712074000},"page":"478-490","source":"Crossref","is-referenced-by-count":37,"title":["Reinforcement Learning for Online Dispatching Policy in Real-Time Train Timetable Rescheduling"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0200-2416","authenticated-orcid":false,"given":"Peng","family":"Yue","sequence":"first","affiliation":[{"name":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1100-0631","authenticated-orcid":false,"given":"Yaochu","family":"Jin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9324-5925","authenticated-orcid":false,"given":"Xuewu","family":"Dai","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4485-4249","authenticated-orcid":false,"given":"Zhenhua","family":"Feng","sequence":"additional","affiliation":[{"name":"School of Computer Science and Electronic Engineering, University of Surrey, Guildford, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4973-676X","authenticated-orcid":false,"given":"Dongliang","family":"Cui","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3002785"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2014.01.009"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2633344"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2414294"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2014.1327"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ECC.2014.6862177"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2016.01.004"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2829165"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC54714.2021.9703176"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2022.02.006"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294188"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917180"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.trpro.2019.05.012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2934083"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC48978.2021.9564980"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.02.008"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jrtpm.2013.10.007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2013.10.013"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.05.006"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.10.034"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2010.08.001"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2018.03.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.11.006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2017.01.002"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2017.10.005"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2010.12.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2009.05.004"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2012.11.001"},{"issue":"12","key":"ref29","first-page":"2366","article-title":"Signal priority control for trams using deep reinforcement learning","volume":"45","author":"Guo","year":"2019","journal-title":"J. Autom Sinica"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2481091"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2446985"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3150151"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11170"},{"key":"ref35","article-title":"A graph neural network with negative message passing for graph coloring","author":"Wang","year":"2023","journal-title":"arXiv:2301.11164"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-27250-9_11"},{"key":"ref37","article-title":"An improved reinforcement learning algorithm for learning to branch","author":"Qu","year":"2022","journal-title":"arXiv:2201.06213"},{"key":"ref38","first-page":"9367","article-title":"Reinforcement learning for integer programming: Learning to cut","volume-title":"Proc. 37th Int. Conf. Mach. Learn.","volume":"119","author":"Tang"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3008612"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.2984033"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.08.005"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2023.02.015"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3218705"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"issue":"7","key":"ref45","first-page":"1","article-title":"Random forest prediction model for Wuhan-Guangzhou HSR primary train delays recovery","volume":"40","author":"Huang","year":"2018","journal-title":"J. China Railway Soc."},{"key":"ref46","article-title":"Equivalence between policy gradients and soft Q-Learning","author":"Schulman","year":"2017","journal-title":"arXiv:1704.06440"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2021.107489"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.05.070"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2021.10.032"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2018.10.006"},{"key":"ref51","first-page":"397","article-title":"Using confidence bounds for exploitation-exploration trade-offs","volume":"3","author":"Auer","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6090742"},{"key":"ref53","volume-title":"Gurobi Optimizer Reference Manual","year":"2022"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10403543\/10226458.pdf?arnumber=10226458","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,10]],"date-time":"2024-12-10T21:40:55Z","timestamp":1733866855000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10226458\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":53,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3305074","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}