{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T23:11:38Z","timestamp":1784761898487,"version":"3.55.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,9,1]],"date-time":"2022-09-01T00:00:00Z","timestamp":1661990400000},"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":["2018YFB1600900"],"award-info":[{"award-number":["2018YFB1600900"]}],"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":["71601045"],"award-info":[{"award-number":["71601045"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100008081","name":"\u201cZhishan\u201d Scholars Programs of Southeast University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008081","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1109\/tits.2021.3131337","type":"journal-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T20:36:12Z","timestamp":1638909372000},"page":"14661-14673","source":"Crossref","is-referenced-by-count":33,"title":["Spatial\u2013Temporal Convolutional Model for Urban Crowd Density Prediction Based on Mobile-Phone Signaling Data"],"prefix":"10.1109","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0446-0971","authenticated-orcid":false,"given":"Xiao","family":"Fu","sequence":"first","affiliation":[{"name":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1465-0325","authenticated-orcid":false,"given":"Guanyi","family":"Yu","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6331-0810","authenticated-orcid":false,"given":"Zhiyuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/519"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3096274"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2902405"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2629592"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330654"},{"key":"ref6","article-title":"VLUC: An empirical benchmark for video-like urban computing on citywide crowd and traffic prediction","author":"Jiang","year":"2019","journal-title":"arXiv:1911.06982"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2997016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11116-015-9598-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.03.054"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2695438"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011020"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2934461"},{"key":"ref13","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"arXiv:1706.03762"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2996913.2996934"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10735"},{"key":"ref17","first-page":"802","article-title":"Convolutional LSTM network: A machine learning approach for precipitation nowcasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xingjian"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2924971"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3055207"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3008774"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2631141"},{"key":"ref22","first-page":"1","article-title":"Deep generative models of urban mobility","volume-title":"Proc. ACM SIGKDD Conf.","author":"Lin"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3094636"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3121551"},{"key":"ref26","first-page":"2014","article-title":"Learning convolutional neural networks for graphs","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Niepert"},{"key":"ref27","first-page":"1","article-title":"Spectral networks and locally connected networks on graphs","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Bruna"},{"key":"ref28","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref29","first-page":"1","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kipf"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045336"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301922"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2950416"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.05.039"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.26.041002.131047"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1166"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3036057"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3047047"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3056415"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3078187"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2655691"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1061\/JTEPBS.0000429"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CSNDSP.2012.6292642"},{"key":"ref45","first-page":"1","article-title":"Network in network","volume-title":"Proc. 2nd Int. Conf. Learn. Represent. (ICLR)","author":"Lin"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref47","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.2307\/1912017"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/9893028\/09641755.pdf?arnumber=9641755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T20:48:24Z","timestamp":1709326104000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9641755\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9]]},"references-count":49,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tits.2021.3131337","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9]]}}}