{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T18:07:35Z","timestamp":1782410855288,"version":"3.54.5"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"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":["52525204"],"award-info":[{"award-number":["52525204"]}],"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":["52131203"],"award-info":[{"award-number":["52131203"]}],"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":["52232012"],"award-info":[{"award-number":["52232012"]}],"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":[[2026,2]]},"DOI":"10.1109\/tits.2025.3621423","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T18:06:17Z","timestamp":1761588377000},"page":"2794-2806","source":"Crossref","is-referenced-by-count":1,"title":["Coordinated Ramp Metering Strategy Based on Deep Reinforcement Learning Incorporating Attention Mechanism"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9442-3053","authenticated-orcid":false,"given":"Shixuan","family":"Yu","sequence":"first","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3655-3374","authenticated-orcid":false,"given":"Yu","family":"Han","sequence":"additional","affiliation":[{"name":"School of Transportation, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"58","article-title":"ALINEA: A local feedback control law for on-ramp metering","volume":"1320","author":"Papageorgiou","year":"1991","journal-title":"Transp. Res. Rec."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3141\/1603-12"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2014.6958028"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2007.908724"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3141\/2178-02"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3141\/2470-02"},{"issue":"3","key":"ref7","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.trc.2004.08.001","article-title":"Model predictive control for optimal coordination of ramp metering and variable speed limits","volume":"13","author":"Hegyi","year":"2005","journal-title":"Transp. Res. C, Emerg. Technol."},{"issue":"7","key":"ref8","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.conengprac.2005.03.010","article-title":"Model predictive control for ramp metering of motorway traffic: A case study","volume":"14","author":"Bellemans","year":"2006","journal-title":"Control Eng. Pract."},{"key":"ref9","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/j.trc.2015.03.029","article-title":"Computationally efficient model predictive control of freeway networks","volume":"58","author":"Muralidharan","year":"2015","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.trc.2019.09.023","article-title":"Hierarchical ramp metering in freeways: An aggregated modeling and control approach","volume":"110","author":"Han","year":"2020","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref11","doi-asserted-by":"crossref","DOI":"10.1016\/j.commtr.2023.100104","article-title":"Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation","volume":"3","author":"Han","year":"2023","journal-title":"Commun. Transp. Res."},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6082976"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3141730"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2725912"},{"key":"ref15","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2022.103584","article-title":"A physics-informed reinforcement learning-based strategy for local and coordinated ramp metering","volume":"137","author":"Han","year":"2022","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref16","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2023.104461","article-title":"Demonstration-guided deep reinforcement learning for coordinated ramp metering and perimeter control in large scale networks","volume":"159","author":"Hu","year":"2024","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3342651"},{"key":"ref19","first-page":"4079","article-title":"AttendLight: Universal attention-based reinforcement learning model for traffic signal control","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Oroojlooy"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482254"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357902"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC55140.2022.9921995"},{"key":"ref23","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2002.806803"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2008.11.002"},{"key":"ref26","first-page":"1057","article-title":"Policy gradient methods for reinforcement learning with function approximation","volume-title":"Proc. NIPS","author":"Sutton"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992696"},{"issue":"7","key":"ref28","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1016\/j.neucom.2007.11.026","article-title":"Natural actor-critic","volume":"71","author":"Peters","year":"2008","journal-title":"Neurocomputing"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569938"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2307884"},{"issue":"9","key":"ref31","first-page":"466","article-title":"METANET: A macroscopic simulation program for motorway networks","volume":"31","author":"Messmer","year":"1990","journal-title":"Traffic Eng. Control"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2022.103904","article-title":"Macroscopic traffic flow modelling of large-scale freeway networks with field data verification: State-of-the-art review, benchmarking framework, and case studies using METANET","volume":"145","author":"Wang","year":"2022","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0686-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2002.806804"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11404362\/11218008.pdf?arnumber=11218008","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T20:49:58Z","timestamp":1771879798000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11218008\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":34,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3621423","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}