{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T18:05:14Z","timestamp":1775585114600,"version":"3.50.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T00:00:00Z","timestamp":1690848000000},"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":["52072314"],"award-info":[{"award-number":["52072314"]}],"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":["52172321"],"award-info":[{"award-number":["52172321"]}],"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":["52102391"],"award-info":[{"award-number":["52102391"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2022YFH0016"],"award-info":[{"award-number":["2022YFH0016"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2021YFQ0001"],"award-info":[{"award-number":["2021YFQ0001"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2021YFH0175"],"award-info":[{"award-number":["2021YFH0175"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Science and Technology Program","doi-asserted-by":"publisher","award":["2022YFQ0101"],"award-info":[{"award-number":["2022YFQ0101"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013068","name":"Key Research and Development Program of Guangzhou","doi-asserted-by":"publisher","award":["202206030007"],"award-info":[{"award-number":["202206030007"]}],"id":[{"id":"10.13039\/501100013068","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100015860","name":"China Railway Chengdu Bureau Group Company Ltd., Science and Technology Program","doi-asserted-by":"publisher","award":["CX2202"],"award-info":[{"award-number":["CX2202"]}],"id":[{"id":"10.13039\/100015860","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2682022ZTPY068"],"award-info":[{"award-number":["2682022ZTPY068"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Science and Technology Projects in the Transportation Industry of the Ministry of Transport","award":["2022-ZD7-132"],"award-info":[{"award-number":["2022-ZD7-132"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,8]]},"DOI":"10.1109\/tits.2023.3266371","type":"journal-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T18:27:00Z","timestamp":1682706420000},"page":"7943-7960","source":"Crossref","is-referenced-by-count":31,"title":["Deep Learning for Metro Short-Term Origin-Destination Passenger Flow Forecasting Considering Section Capacity Utilization Ratio"],"prefix":"10.1109","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4127-5302","authenticated-orcid":false,"given":"Yan","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}]},{"given":"Keyang","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3216-1493","authenticated-orcid":false,"given":"Di","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0308-4230","authenticated-orcid":false,"given":"Dingjun","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}]},{"given":"Hongxia","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6819-0686","authenticated-orcid":false,"given":"Qingpeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Data Science, City University of Hong Kong, Kowloon Tong, Hong Kong"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/atr.1332"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2817282"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.5.3.283"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2022.1128"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/9717582"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11771-015-2998-4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.11.043"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3036057"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3150600"},{"key":"ref11","first-page":"1","article-title":"Analysis of freeway traffic time series data by using Box–Jenkins techniques","author":"ahmed","year":"1979","journal-title":"Transp Res Board"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2985952"},{"key":"ref10","first-page":"82","article-title":"A summary of traffic flow forecasting methods","volume":"21","author":"liu","year":"2004","journal-title":"J Highway Transportation Res Develop"},{"key":"ref32","first-page":"3574","article-title":"Online metro origin-destination prediction via heterogeneous information aggregation","volume":"45","author":"liu","year":"2023","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3047047"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-021-06669-1"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2009.932254"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3007809"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2016.0187"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2020.125574"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3189238"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909571"},{"key":"ref23","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"arXiv 1803 01271"},{"key":"ref45","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-022-07866-2"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2019.0873"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2964680"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102671"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941987"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi8060243"},{"key":"ref28","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2013","journal-title":"arXiv 1312 6203"},{"key":"ref27","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","author":"niepert","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102928"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941177"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/5622913"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.03.085"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.01.027"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8850565"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2867042"},{"key":"ref40","first-page":"41","article-title":"Passenger flow prediction for Guangzhou–Zhuhai intercity railway based on SARIMA model","volume":"55","author":"li","year":"2020","journal-title":"J Southwest Jiaotong Univ"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10202228\/10111500.pdf?arnumber=10111500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T18:05:11Z","timestamp":1692641111000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10111500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":45,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3266371","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8]]}}}