{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T07:12:13Z","timestamp":1770275533066,"version":"3.49.0"},"reference-count":8,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T00:00:00Z","timestamp":1724716800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,8,27]],"date-time":"2024-08-27T00:00:00Z","timestamp":1724716800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,27]]},"DOI":"10.1109\/mmar62187.2024.10680773","type":"proceedings-article","created":{"date-parts":[[2024,9,19]],"date-time":"2024-09-19T17:22:42Z","timestamp":1726766562000},"page":"472-475","source":"Crossref","is-referenced-by-count":2,"title":["Time series for rail passengers flow prediction: a survey"],"prefix":"10.1109","author":[{"given":"Maciej","family":"Szymkowski","sequence":"first","affiliation":[{"name":"Białystok University of Technology,Faculty of Computer Science,Białystok,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"W\u0142odzimierz","family":"Wo\u017aniak","sequence":"additional","affiliation":[{"name":"Łukasiewicz Research Network – Poznań Institute of Technology,Computer Science Research Group, Artificial Intelligence Development division,Poznań,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bartosz","family":"Jura","sequence":"additional","affiliation":[{"name":"Łukasiewicz Research Network – Poznań Institute of Technology,Computer Science Research Group, Artificial Intelligence Development division,Poznań,Poland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"The safest form of transportation in the United States of America","year":"2024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/s0968-090x(02)00009-8"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2017.01.001"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2021.02.059"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.10.034"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/074081791008988"},{"issue":"5","key":"ref7","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1287\/opre.50.5.851.362","article-title":"Modeling and solving the train timetabling problem","volume":"50","author":"Caprara","year":"2002","journal-title":"Operations research"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1023\/a:1018906301828"}],"event":{"name":"2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR)","location":"Poland","start":{"date-parts":[[2024,8,27]]},"end":{"date-parts":[[2024,8,30]]}},"container-title":["2024 28th International Conference on Methods and Models in Automation and Robotics (MMAR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10680734\/10680735\/10680773.pdf?arnumber=10680773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T04:07:24Z","timestamp":1726978044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10680773\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,27]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/mmar62187.2024.10680773","relation":{},"subject":[],"published":{"date-parts":[[2024,8,27]]}}}