{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T21:38:34Z","timestamp":1769549914707,"version":"3.49.0"},"reference-count":77,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"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":["42201502"],"award-info":[{"award-number":["42201502"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003802","name":"Seed Funding for Strategic Interdisciplinary Research Scheme at The University of Hong Kong","doi-asserted-by":"publisher","award":["102010057"],"award-info":[{"award-number":["102010057"]}],"id":[{"id":"10.13039\/501100003802","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tits.2025.3615448","type":"journal-article","created":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T17:38:20Z","timestamp":1760117900000},"page":"22277-22295","source":"Crossref","is-referenced-by-count":1,"title":["RouteKG: A Knowledge Graph-Based Framework for Route Prediction on Road Networks"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3684-3072","authenticated-orcid":false,"given":"Yihong","family":"Tang","sequence":"first","affiliation":[{"name":"McGill University, Montreal, QC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5170-9608","authenticated-orcid":false,"given":"Zhan","family":"Zhao","sequence":"additional","affiliation":[{"name":"The University of Hong Kong, Hong Kong Special Administrative Region, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1521-877X","authenticated-orcid":false,"given":"Weipeng","family":"Deng","sequence":"additional","affiliation":[{"name":"The University of Hong Kong, Hong Kong Special Administrative Region, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3995-1412","authenticated-orcid":false,"given":"Shuyu","family":"Lei","sequence":"additional","affiliation":[{"name":"The University of Hong Kong, Hong Kong Special Administrative Region, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuebing","family":"Liang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2141-0389","authenticated-orcid":false,"given":"Zhenliang","family":"Ma","sequence":"additional","affiliation":[{"name":"KTH Royal Institute of Technology, Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/1409635.1409678"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.02.016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2024.107801"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2684163"},{"key":"ref5","article-title":"Activity-aware human mobility prediction with hierarchical graph attention recurrent network","author":"Tang","year":"2022","journal-title":"arXiv:2210.07765"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S1755-5345(13)70005-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.110"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2023.103168"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1609.02907"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3129588"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref15","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"Li","year":"2017","journal-title":"arXiv:1707.01926"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/hipo.10173"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1037\/xlm0000082"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2899179"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01121-3"},{"key":"ref20","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"ref22","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sutskever"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3030076"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1186\/s40648-014-0001-z"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.177\/0278364920917446"},{"key":"ref27","article-title":"Motion prediction on self-driving cars: A review","author":"Paravarzar","year":"2020","journal-title":"arXiv:2011.03635"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.4282"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3167103"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00240"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00144"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref33","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01660"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/BF01386390"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSSC.1968.300136"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1002\/ett.3734"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2006.1706730"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3837\/tiis.2016.07.016"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3361741"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00222"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MDM55031.2022.00049"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467238"},{"key":"ref44","article-title":"RNTrajRec: Road network enhanced trajectory recovery with spatial\u2013temporal transformer","author":"Chen","year":"2022","journal-title":"arXiv:2211.13234"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3329781.3332266"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MIC.2019.2928449"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3233\/SW-160218"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-5833-1"},{"issue":"109","key":"ref49","first-page":"1","article-title":"Hinge-loss Markov random fields and probabilistic soft logic","volume":"18","author":"Bach","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref50","first-page":"687","article-title":"Translating embeddings for modeling multi-relational data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"26","author":"Bordes"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9491"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"ref53","first-page":"1","article-title":"A three-way model for collective learning on multi-relational data","volume-title":"Proc. ICML","volume":"11","author":"Nickel"},{"key":"ref54","article-title":"Embedding entities and relations for learning and inference in knowledge bases","author":"Yang","year":"2014","journal-title":"arXiv:1412.6575"},{"key":"ref55","first-page":"2071","article-title":"Complex embeddings for simple link prediction","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Trouillon"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref57","article-title":"Composition-based multi-relational graph convolutional networks","author":"Vashishth","year":"2019","journal-title":"arXiv:1911.03082"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3390\/su13063191"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/506"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/sym12020199"},{"key":"ref61","article-title":"Improving location recommendation with urban knowledge graph","author":"Liu","year":"2021","journal-title":"arXiv:2111.01013"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539383"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3494993"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403128"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-023-04678-2"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103928"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8030690"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103587"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2017.1400548"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69532-3_25"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052558"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3290956"},{"issue":"7","key":"ref73","first-page":"579","article-title":"Multilayer perceptron and neural networks","volume":"8","author":"Popescu","year":"2009","journal-title":"WSEAS Trans. Circuits Syst."},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1137\/0201010"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2023.104079"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.3390\/app15094914"},{"key":"ref77","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"Proc. 34th Intl. Conf. Mach. Learn.","author":"Guo"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6979\/11278554\/11198599.pdf?arnumber=11198599","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:40:51Z","timestamp":1764960051000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11198599\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":77,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2025.3615448","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}