{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:08:12Z","timestamp":1750223292017,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,24]],"date-time":"2023-09-24T00:00:00Z","timestamp":1695513600000},"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":["2018YFB1601301"],"award-info":[{"award-number":["2018YFB1601301"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71961137006"],"award-info":[{"award-number":["71961137006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,24]]},"DOI":"10.1109\/itsc57777.2023.10422481","type":"proceedings-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T23:32:39Z","timestamp":1707867159000},"page":"4657-4662","source":"Crossref","is-referenced-by-count":2,"title":["How to Accurately Predict Traffic Speed Using Simple Input Variables? A Novel Self-Supervised Spatio-Temporal Bilateral Learning Network"],"prefix":"10.1109","author":[{"given":"Guojian","family":"Zou","sequence":"first","affiliation":[{"name":"Ministry of Education, and the College of Trans-portation Engineering, Tongji University,Key Laboratory of Road and Traffic Engineering,Shanghai,China,201804"}]},{"given":"Ting","family":"Wang","sequence":"additional","affiliation":[{"name":"Ministry of Education, and the College of Trans-portation Engineering, Tongji University,Key Laboratory of Road and Traffic Engineering,Shanghai,China,201804"}]},{"given":"Honggang","family":"Wang","sequence":"additional","affiliation":[{"name":"Urban Mobility Institute, and the College of Transportation Engineering, Tongji University,Shanghai,China,201804"}]},{"given":"Jing","family":"Fan","sequence":"additional","affiliation":[{"name":"China Railway First Survey and Design Institute Group Company Ltd.,Xi'an,China,710043"}]},{"given":"Ye","family":"Li","sequence":"additional","affiliation":[{"name":"Ministry of Education, and the College of Trans-portation Engineering, Tongji University,Key Laboratory of Road and Traffic Engineering,Shanghai,China,201804"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-947X(2003)129:6(664)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.12.032"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.03.054"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3117835"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3129857"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117511"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539396"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795712"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.02.002"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116140"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3038457"},{"key":"ref13","article-title":"Diffusion convolutional recurrent neural network: Data-driven traffic forecasting","author":"Li","year":"2017","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2935152"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3168865"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403118"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551827"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3011186"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411940"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2023.3276916"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3055258"},{"key":"ref24","first-page":"17 804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume":"33","author":"Bai","year":"2020","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","start":{"date-parts":[[2023,9,24]]},"location":"Bilbao, Spain","end":{"date-parts":[[2023,9,28]]}},"container-title":["2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10420842\/10420843\/10422481.pdf?arnumber=10422481","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T20:42:15Z","timestamp":1710362535000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10422481\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,24]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/itsc57777.2023.10422481","relation":{},"subject":[],"published":{"date-parts":[[2023,9,24]]}}}