{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T19:15:27Z","timestamp":1782933327568,"version":"3.54.5"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Science Foundation\u2019s Division of Computer and Network Systems through \u201cVideo-Based Machine Learning for Smart Traffic Analysis and Management\u201d","award":["1922782"],"award-info":[{"award-number":["1922782"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/tits.2025.3546810","type":"journal-article","created":{"date-parts":[[2025,3,10]],"date-time":"2025-03-10T17:45:13Z","timestamp":1741628713000},"page":"5082-5093","source":"Crossref","is-referenced-by-count":9,"title":["Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1232-5972","authenticated-orcid":false,"given":"Nooshin","family":"Yousefzadeh","sequence":"first","affiliation":[{"name":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9793-5176","authenticated-orcid":false,"given":"Rahul","family":"Sengupta","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2512-1250","authenticated-orcid":false,"given":"Yashaswi","family":"Karnati","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8695-8436","authenticated-orcid":false,"given":"Anand","family":"Rangarajan","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4886-1988","authenticated-orcid":false,"given":"Sanjay","family":"Ranka","sequence":"additional","affiliation":[{"name":"Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/futuretransp3020039"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/DASC\/PiCom\/DataCom\/CyberSciTec.2018.00120"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TCIAIG.2012.2186810"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.08.080"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950416"},{"key":"ref6","article-title":"Traffic queue length and pressure estimation for road networks with geometric deep learning algorithms","author":"Ehlers","year":"2019","journal-title":"arXiv:1905.03889"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1016\/j.dib.2023.109117","article-title":"A traffic signal and loop detector dataset of an urban intersection regulated by a fully actuated signal control system","volume":"48","author":"Genser","year":"2023","journal-title":"Data Brief"},{"key":"ref8","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.01.026"},{"key":"ref10","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3121250"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref13","article-title":"Variational graph auto-encoders","author":"Kipf","year":"2016","journal-title":"arXiv:1611.07308"},{"key":"ref14","volume-title":"Automated Traffic Signal Performance Measures (ATSPMs)","author":"Lattimer","year":"2020"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569938"},{"key":"ref16","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1049\/itr2.12296"},{"key":"ref18","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"McInnes","year":"2018","journal-title":"arXiv:1802.03426"},{"key":"ref19","volume-title":"TRANSYT: A traffic network study tool","author":"Robertson","year":"1969"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533319"},{"key":"ref21","article-title":"Application of VISSIM software for traffic simulation: Literature review","author":"Shah","year":"2017"},{"key":"ref22","volume-title":"Mobility Division Feed","year":"2025"},{"key":"ref23","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref24","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017","journal-title":"arXiv:1710.10903"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.04.023"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.12.004"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/app10062038"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917174"},{"key":"ref29","first-page":"4840","article-title":"Graph neural networks: Foundation, frontiers and applications","volume-title":"Proc. 28th ACM SIGKDD Conf. Knowl. Discovery Data Mining","author":"Wu"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref31","doi-asserted-by":"crossref","DOI":"10.1016\/j.trc.2020.102635","article-title":"GE-GAN: A novel deep learning framework for road traffic state estimation","volume":"117","author":"Xu","year":"2020","journal-title":"Transp. Res. C, Emerg. Technol."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/itsc58415.2024.10920162"},{"key":"ref33","article-title":"Dynamic graph attention networks for travel time distribution prediction in urban arterial roads","author":"Yousefzadeh","year":"2024","journal-title":"arXiv:2412.11095"},{"key":"ref34","volume-title":"A comprehensive survey on multilayered graph embedding","author":"Yousefzadeh","year":"2023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6979\/10945245\/10919173-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/10945245\/10919173.pdf?arnumber=10919173","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T05:21:11Z","timestamp":1743225671000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10919173\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":35,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3546810","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}