{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T16:33:44Z","timestamp":1791304424087,"version":"4.3.1"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"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":["62273135"],"award-info":[{"award-number":["62273135"]}],"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":["61806076"],"award-info":[{"award-number":["61806076"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003819","name":"Natural Science Foundation of Hubei Province in China","doi-asserted-by":"publisher","award":["2021CFB460"],"award-info":[{"award-number":["2021CFB460"]}],"id":[{"id":"10.13039\/501100003819","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,11]]},"DOI":"10.1109\/tits.2023.3287223","type":"journal-article","created":{"date-parts":[[2023,6,27]],"date-time":"2023-06-27T17:40:10Z","timestamp":1687887610000},"page":"11921-11933","source":"Crossref","is-referenced-by-count":27,"title":["Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3918-8461","authenticated-orcid":false,"given":"Xuemin","family":"Hu","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence, Hubei University, Hubei, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Hubei University, Hubei, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5708-766X","authenticated-orcid":false,"given":"Bo","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9639-7679","authenticated-orcid":false,"given":"Junchi","family":"Yan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4925-0572","authenticated-orcid":false,"given":"Long","family":"Chen","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01254"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3223728"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3223131"},{"key":"ref4","volume-title":"Examination of driver lane change behavior and the potential effectiveness of warning onset rules for lane change or \u2018side\u2019 crash avoidance systems","author":"Hetrick","year":"1997"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.07.019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968225"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3004984"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3025671"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561049"},{"key":"ref10","article-title":"End-to-end driving via conditional imitation learning","author":"Codevilla","year":"2017","journal-title":"arXiv:1710.02410"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01550"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/250"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01443"},{"key":"ref15","first-page":"1","article-title":"Neural relational inference for interacting systems","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Kipf"},{"key":"ref16","first-page":"1","article-title":"EvolveGraph: Multi-agent trajectory prediction with dynamic relational reasoning","volume-title":"Proc. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Li"},{"key":"ref17","article-title":"GRIP++: Enhanced graph-based interaction-aware trajectory prediction for autonomous driving","author":"Li","year":"2019","journal-title":"arXiv:1907.07792"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/rob.20285"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2008.4587222"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2015.2487881"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.173"},{"key":"ref22","article-title":"Deep reinforcement learning for autonomous driving: A survey","author":"Ravi Kiran","year":"2020","journal-title":"arXiv:2002.00444"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2017.7995727"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.2352\/ISSN.2470-1173.2017.19.AVM-023"},{"key":"ref25","article-title":"Graph convolution-based deep reinforcement learning for multi-agent decision-making in mixed traffic environments","author":"Liu","year":"2022","journal-title":"arXiv:2201.12776"},{"key":"ref26","article-title":"End to end learning for self-driving cars","author":"Bojarski","year":"2016","journal-title":"arXiv:1604.07316"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.376"},{"key":"ref28","first-page":"1","article-title":"End-to-end deep learning for steering autonomous vehicles considering temporal dependencies","volume-title":"Proc. 31st Conf. Neural Inf. Process. Syst. (NIPS)","author":"Eraqi"},{"key":"ref29","article-title":"Autonomous navigation through intersections with graph convolutional networks and conditional imitation learning for self-driving cars","author":"Mei","year":"2021","journal-title":"arXiv:2102.00675"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989037"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794134"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794146"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01157"},{"key":"ref34","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Thomas Kipf"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950416"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3062309"},{"key":"ref37","first-page":"1","article-title":"Grin: Generative relation and intention network for multi-agent trajectory prediction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Li"},{"key":"ref38","first-page":"1434","article-title":"Multi-agent trajectory prediction by combining egocentric and allocentric views","volume-title":"Proc. Conf. Robot Learn.","author":"Jia"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58523-5_40"},{"key":"ref40","volume-title":"Next Generation Simulation","year":"2022"},{"key":"ref41","article-title":"CARLA: An open urban driving simulator","author":"Dosovitskiy","year":"2017","journal-title":"arXiv:1711.03938"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225063"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812405"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.23919\/ICCAS47443.2019.8971631"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10304348\/10164220.pdf?arnumber=10164220","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T11:57:15Z","timestamp":1709294235000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10164220\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11]]},"references-count":44,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3287223","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11]]}}}