{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T22:34:12Z","timestamp":1774478052304,"version":"3.50.1"},"reference-count":117,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"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":["62272033"],"award-info":[{"award-number":["62272033"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1109\/tkde.2024.3441309","type":"journal-article","created":{"date-parts":[[2024,8,19]],"date-time":"2024-08-19T13:35:43Z","timestamp":1724074543000},"page":"7516-7535","source":"Crossref","is-referenced-by-count":9,"title":["A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6130-126X","authenticated-orcid":false,"given":"Haomin","family":"Wen","sequence":"first","affiliation":[{"name":"Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1611-4323","authenticated-orcid":false,"given":"Youfang","family":"Lin","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixia","family":"Wu","sequence":"additional","affiliation":[{"name":"Cainiao Network, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1748-7376","authenticated-orcid":false,"given":"Xiaowei","family":"Mao","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianyue","family":"Cai","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunfeng","family":"Hou","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3008-4511","authenticated-orcid":false,"given":"Shengnan","family":"Guo","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2817-7337","authenticated-orcid":false,"given":"Yuxuan","family":"Liang","sequence":"additional","affiliation":[{"name":"INTR Thrust and DSA Thrust, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9837-6836","authenticated-orcid":false,"given":"Guangyin","family":"Jin","sequence":"additional","affiliation":[{"name":"College of Systems Engineering, National University of Defense Technology, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiji","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7410-2590","authenticated-orcid":false,"given":"Roger","family":"Zimmermann","sequence":"additional","affiliation":[{"name":"School of Computing, National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8662-5818","authenticated-orcid":false,"given":"Jieping","family":"Ye","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0501-9363","authenticated-orcid":false,"given":"Huaiyu","family":"Wan","sequence":"additional","affiliation":[{"name":"Beijing Key Laboratory of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/16258312.2017.1375375"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3351282"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2021.101115"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE51399.2021.00214"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467068"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3077007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301774"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219900"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3002228"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2020.101886"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148877"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3099092"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2666003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-71722-7_1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1504\/IJLSM.2017.087786"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-81-322-2126-5_14"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.26599\/BDMA.2018.9020010"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807840"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00777-8"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s42044-019-00052-z"},{"issue":"4","key":"ref21","first-page":"164","article-title":"Urban bus arrival time prediction: A review of computational models","volume":"2","author":"Altinkaya","year":"2013","journal-title":"Int. J. Recent Technol. Eng."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12205-017-0535-8"},{"key":"ref23","article-title":"Survey of eta prediction methods in public transport networks","author":"Reich","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1457"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11301-008-0036-4"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1137\/1.9780898718515","volume-title":"The Vehicle Routing Problem","author":"Toth","year":"2002"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(97)00290-7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.2307\/2332226"},{"key":"ref29","article-title":"Edit distance and dialect proximity","volume-title":"Time Warps, String Edits and Macromolecules: The Theory and Practice of Sequence Comparison","volume":"15","author":"Nerbonne","year":"1999"},{"key":"ref30","first-page":"4143","article-title":"ILRoute: A graph-based imitation learning method to unveil riders\u2019 routing strategies in food delivery service","volume-title":"Proc. 28th ACM SIGKDD Conf. Knowl. Discov. Data Mining","author":"Fang"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539084"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00238"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3481006"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3301661"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599811"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403307"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539027"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570409"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-30678-5_46"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00261"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3582561"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE55515.2023.00253"},{"key":"ref43","first-page":"2692","article-title":"Pointer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Vinyals"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1515\/jisys-2018-0372"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/IICSPI.2018.8690387"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPC51351.2021.9451752"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800155"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.12.030"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3178176"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref53","article-title":"Attention, learn to solve routing problems!","volume-title":"Proc. 7th Int. Conf. Learn. Representations","author":"Kool"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0260995"},{"key":"ref55","article-title":"Combinatorial optimization by graph pointer networks and hierarchical reinforcement learning","author":"Ma","year":"2019"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20864"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098005"},{"key":"ref58","article-title":"Seq2Slate: Re-ranking and slate optimization with RNNs","volume-title":"Int. Conf. Mach. Learn.","author":"Bello","year":"2019"},{"key":"ref59","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","volume-title":"Proc. 30th Int. Conf. Neural Inf. Process. Syst.","author":"Defferrard"},{"key":"ref60","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kipf"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3535101"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1145\/3477141"},{"key":"ref64","first-page":"841","article-title":"N-GCN: Multi-scale graph convolution for semi-supervised node classification","volume-title":"Proc. 35th Conf. Uncertainty Artif. Intell.","author":"Abu-El-Haija"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401308"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358106"},{"key":"ref67","first-page":"8463","article-title":"Certified robustness of graph convolution networks for graph classification under topological attacks","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","author":"Jin"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3105544"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1145\/3424672"},{"key":"ref70","first-page":"5171","article-title":"Link prediction based on graph neural networks","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Zhang"},{"key":"ref71","article-title":"Graph attention networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Veli\u010dkovi\u0107"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.3016208"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/ICOSC.2019.8665593"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3148980"},{"key":"ref75","article-title":"Recommender system for news articles using supervised learning","author":"Chaturvedi","year":"2017"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3145690"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i02.5533"},{"key":"ref78","first-page":"621","article-title":"Towards playing full MOBA games with deep reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ye"},{"key":"ref79","article-title":"Towards vision-based deep reinforcement learning for robotic motion control","author":"Zhang","year":"2015"},{"key":"ref80","article-title":"Deep reinforcement learning for autonomous driving","author":"Wang","year":"2018"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3054625"},{"key":"ref82","first-page":"3149","article-title":"LightGBM: A highly efficient gradient boosting decision tree","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Ke"},{"key":"ref83","volume-title":"Introduction to Reinforcement Learning","volume":"135","author":"Sutton","year":"1998"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2929141"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2995855"},{"key":"ref87","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11877"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2008.4732534"},{"key":"ref90","article-title":"Travel time estimation using floating car data","author":"Sevlian","year":"2010"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2013.03.008"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2943906"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599842"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599925"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00126"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1145\/3293317"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1287\/opre.2018.1784"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220033"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1145\/3617337"},{"key":"ref100","article-title":"Fast and accurate deep network learning by exponential linear units (ELUs)","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Clevert"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3177724"},{"key":"ref102","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2014.2384522"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/239"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"ref108","first-page":"7482","article-title":"Multi-task learning using uncertainty to weigh losses for scene geometry and semantics","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Kendall"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1287\/trsc.2022.1173"},{"key":"ref110","article-title":"LaDe: The first comprehensive last-mile delivery dataset from industry","author":"Wu","year":"2023"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09816-7"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI51800.2020.00200"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2893293"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/SOLI.2007.4383892"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/ICISCE50968.2020.00304"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2019.07.001"},{"key":"ref117","first-page":"8857","article-title":"Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Rasul"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/10750897\/10639499.pdf?arnumber=10639499","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T18:28:05Z","timestamp":1766687285000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10639499\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":117,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2024.3441309","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12]]}}}