{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T18:24:49Z","timestamp":1767378289395,"version":"3.48.0"},"reference-count":43,"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\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2021ZD0112703"],"award-info":[{"award-number":["2021ZD0112703"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for Xi\u2019an Jiaotong University","award":["xtr072022001"],"award-info":[{"award-number":["xtr072022001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1109\/tits.2025.3629415","type":"journal-article","created":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:45:42Z","timestamp":1763059542000},"page":"1328-1337","source":"Crossref","is-referenced-by-count":0,"title":["ETLight: An Evolution Transformer for Efficient Traffic Signal Control"],"prefix":"10.1109","volume":"27","author":[{"given":"Hui","family":"Jiang","sequence":"first","affiliation":[{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, the National Engineering Research Center for Visual Information and Applications, and the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0693-6574","authenticated-orcid":false,"given":"Meiqin","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5117-3110","authenticated-orcid":false,"given":"Senlin","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9095-5905","authenticated-orcid":false,"given":"Ronghao","family":"Zheng","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1754-1829","authenticated-orcid":false,"given":"Shanling","family":"Dong","sequence":"additional","affiliation":[{"name":"College of Electrical Engineering, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuguang","family":"Lan","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, the National Engineering Research Center for Visual Information and Applications, and the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.54517\/ssd.v2i1.2399"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3215537"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671998"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.commtr.2023.100104"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2024.3498735"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3340153"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110440"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/962869"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330949"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1057\/jors.1963.61"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5113-5_3"},{"issue":"4","key":"ref12","first-page":"190","article-title":"The SCOOT on-line traffic signal optimisation technique","volume":"23","author":"Hunt","year":"1982","journal-title":"Traffic Eng. Control"},{"article-title":"Scats, Sydney co-ordinated adaptive traffic system: A traffic responsive method of controlling urban traffic","year":"1990","author":"Lowrie","key":"ref13"},{"key":"ref14","article-title":"Data might be enough: Bridge real-world traffic signal control using offline reinforcement learning","volume-title":"arXiv:2303.10828","author":"Zhang","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2013.08.014"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2014.11.009"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1177\/0361198118786840"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43430-3_9"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3344585"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2901791"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357902"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5744"},{"key":"ref23","first-page":"4079","article-title":"Attendlight: Universal attention-based reinforcement learning model for traffic signal control","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Oroojlooy"},{"key":"ref24","article-title":"Efficient pressure: Improving efficiency for signalized intersections","author":"Wu","year":"2021","journal-title":"arXiv:2112.02336"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3690624.3709393"},{"key":"ref26","first-page":"94","article-title":"X-light: Cross-city traffic signal control using transformer on transformer as meta multi-agent reinforcement learner","volume-title":"Proc. 33rd Int. Joint Conf. Artif. Intell.","author":"Jiang"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref28","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref29","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. NIPS","author":"Brown"},{"key":"ref30","first-page":"10524","article-title":"On layer normalization in the transformer architecture","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Xiong"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11694"},{"key":"ref32","first-page":"1283","article-title":"DuaLight: Enhancing traffic signal control by leveraging scenario-specific and scenario-shared knowledge","volume-title":"Proc. AAMAS","author":"Lu"},{"key":"ref33","first-page":"15084","article-title":"Decision transformer: Reinforcement learning via sequence modeling","volume-title":"Proc. Int. Conf. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Chen"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599530"},{"key":"ref35","first-page":"7487","article-title":"Stabilizing transformers for reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Parisotto"},{"key":"ref36","first-page":"26645","article-title":"Expression might be enough: Representing pressure and demand for reinforcement learning based traffic signal control","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","volume":"162","author":"Zhang"},{"key":"ref37","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018","journal-title":"arXiv:1810.04805"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref39","article-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","author":"Chung","year":"2014","journal-title":"arXiv:1412.3555"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3314139"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357900"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1505.00387"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11322649\/11247848.pdf?arnumber=11247848","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T18:18:13Z","timestamp":1767377893000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11247848\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":43,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3629415","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"type":"print","value":"1524-9050"},{"type":"electronic","value":"1558-0016"}],"subject":[],"published":{"date-parts":[[2026,1]]}}}