{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T05:45:05Z","timestamp":1785822305777,"version":"3.56.0"},"reference-count":57,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2023YFB4302703"],"award-info":[{"award-number":["2023YFB4302703"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tits.2026.3683394","type":"journal-article","created":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T20:00:10Z","timestamp":1776974410000},"page":"9236-9250","source":"Crossref","is-referenced-by-count":0,"title":["AR2G-AIRL: A Context-Adaptive Game-Inverse Reinforcement Learning Algorithm for Modeling Pedestrian--Vehicle Interaction Considering Group Behaviors"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-5548-3508","authenticated-orcid":false,"given":"He","family":"Hao","sequence":"first","affiliation":[{"name":"Beijing Jiaotong University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6943-9156","authenticated-orcid":false,"given":"Enjian","family":"Yao","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2024-8997","authenticated-orcid":false,"given":"Rongsheng","family":"Chen","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6337-5879","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1461-6335","authenticated-orcid":false,"given":"Yue","family":"Wang","sequence":"additional","affiliation":[{"name":"Beijing Jiaotong University","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wan","family":"Liu","sequence":"additional","affiliation":[{"name":"Research Institute for Road Safety of MPS","place":["Beijing, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-022-00607-z"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/03611981251348444"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3006768"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3006767"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2024.3420943"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2024.104572"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2021.05.006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2021.02.017"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2024.107604"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2020.02.007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2021.106355"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2022.3232300"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/2345903"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109633"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2016.04.014"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3037927"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2021.106402"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2017.08.019"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2022.11.004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3326276"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2025.3620346"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2024.103822"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/15230406.2025.2510956"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2024.3397703"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104063"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103191"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/23249935.2022.2061081"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.tbs.2024.100760"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2018.09.016"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2022.106568"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1177\/0361198120926507"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1177\/0361198119849401"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2020.105578"},{"key":"ref35","article-title":"Shifts: A dataset of real distributional shift across multiple large-scale tasks","author":"Malinin","year":"2021","journal-title":"arXiv:2107.07455"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/03081069908717634"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2022.106810"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3088935"},{"key":"ref39","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","volume-title":"Proc. 23rd AAAI Conf. Artif. Intell.","volume":"8","author":"Ziebart"},{"key":"ref40","article-title":"Maximum entropy deep inverse reinforcement learning","author":"Wulfmeier","year":"2015","journal-title":"arXiv:1507.04888"},{"key":"ref41","article-title":"Learning robust rewards with adversarial inverse reinforcement learning","author":"Fu","year":"2017","journal-title":"arXiv:1710.11248"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2015.09.016"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102962"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2020.105958"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01020"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2021.105600"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3323138"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.2307\/1572461"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.5840\/monist200588213"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2022.106773"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1080\/00220480309595196"},{"key":"ref52","article-title":"Modeling purposeful adaptive behavior with the principle of maximum causal entropy","author":"Ziebart","year":"2010"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref54","article-title":"Generalizing skills with semi-supervised reinforcement learning","author":"Finn","year":"2016","journal-title":"arXiv:1612.00429"},{"key":"ref55","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"Entropy","year":"2018","journal-title":"arXiv:1801.01290"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11640892\/11494247.pdf?arnumber=11494247","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T04:58:18Z","timestamp":1785819498000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11494247\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":57,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tits.2026.3683394","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}