{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T17:17:32Z","timestamp":1780334252089,"version":"3.54.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"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":["72201223"],"award-info":[{"award-number":["72201223"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002920","name":"Hong Kong Research Grants Council","doi-asserted-by":"publisher","award":["HKU27203323"],"award-info":[{"award-number":["HKU27203323"]}],"id":[{"id":"10.13039\/501100002920","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004377","name":"The Hong Kong Polytechnic University","doi-asserted-by":"publisher","award":["P0036644"],"award-info":[{"award-number":["P0036644"]}],"id":[{"id":"10.13039\/501100004377","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100014790","name":"Lee Kong Chian (LKC) Fellowship awarded through Singapore Management University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100014790","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tits.2023.3297948","type":"journal-article","created":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T17:41:57Z","timestamp":1691084517000},"page":"14556-14569","source":"Crossref","is-referenced-by-count":28,"title":["A Poisson-Based Distribution Learning Framework for Short-Term Prediction of Food Delivery Demand Ranges"],"prefix":"10.1109","volume":"24","author":[{"given":"Jian","family":"Liang","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, The University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9778-3387","authenticated-orcid":false,"given":"Jintao","family":"Ke","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, The University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9260-3428","authenticated-orcid":false,"given":"Hai","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, Singapore Management University, Bras Basah, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9446-8787","authenticated-orcid":false,"given":"Hongbo","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5172-387X","authenticated-orcid":false,"given":"Jinjun","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Traffic and Transportation Engineering, Central South University, Changsha, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467068"},{"key":"ref2","article-title":"The soon to be $200B online food delivery is rapidly changing the global food industry","volume":"9","author":"Singh","year":"2019","journal-title":"Forbes"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.multra.2022.100007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.10.016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2019.07.009"},{"issue":"1","key":"ref6","first-page":"3656","article-title":"Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"33","author":"Xu"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102639"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2017.2689998"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2545658"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2014.0553"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103387"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2017.11.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219824"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1287\/msom.2020.0247"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2017.0753"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.01.008"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1287\/msom.2018.0707"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1287\/msom.2017.0678"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2020.07.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2021.07.001"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2019.04.004"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2022.10.005"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1257\/app.20190655"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2021.06.014"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2018.1822"},{"key":"ref26","first-page":"2157","article-title":"Improving regression performance with distributional losses","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Imani"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2262376"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2017.05.013"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2643005"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/682390"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2020.2990165"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411965"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10735"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11836"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2948005"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.commtr.2021.100012"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3015542"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2909571"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2021.3119869"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2882861"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330877"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5477"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102858"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102951"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103063"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102851"},{"key":"ref48","first-page":"17804","article-title":"Adaptive graph convolutional recurrent network for traffic forecasting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Bai"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2020.102147"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78750-9_9"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.764"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.237"},{"key":"ref53","first-page":"3511","article-title":"Pre-release prediction of crowd opinion on movies by label distribution learning","volume-title":"Proc. 24th Int. Joint Conf. Artif. Intell.","author":"Geng"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.51"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/99"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2021.03.006"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.2307\/1909582"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.cag.2019.09.002"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00781"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/en12183569"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2096824"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.21236\/ADA459827"},{"key":"ref63","first-page":"1901","article-title":"Probabilistic forecasting with spline quantile function RNNs","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Gasthaus"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10339106\/10208088.pdf?arnumber=10208088","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T17:55:57Z","timestamp":1709315757000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10208088\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":63,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tits.2023.3297948","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}