{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:30:14Z","timestamp":1783528214390,"version":"3.55.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003988","name":"Japan Agency for Science and Technology under PRESTO","doi-asserted-by":"publisher","award":["JPMJPR2039"],"award-info":[{"award-number":["JPMJPR2039"]}],"id":[{"id":"10.13039\/501100003988","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003988","name":"Japan Agency for Science and Technology under PRESTO","doi-asserted-by":"publisher","award":["JPMJPR2465"],"award-info":[{"award-number":["JPMJPR2465"]}],"id":[{"id":"10.13039\/501100003988","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100020953","name":"Co-creation place formation support program","doi-asserted-by":"publisher","award":["JPMJPF2115"],"award-info":[{"award-number":["JPMJPF2115"]}],"id":[{"id":"10.13039\/501100020953","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3558988","type":"journal-article","created":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T18:02:17Z","timestamp":1744135337000},"page":"67488-67499","source":"Crossref","is-referenced-by-count":4,"title":["Using BLE Signals to Estimate Objective and Subjective Crowdedness Levels on Fixed-Route Buses"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5280-6005","authenticated-orcid":false,"given":"Takumi","family":"Ikenaga","sequence":"first","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3135-4915","authenticated-orcid":false,"given":"Yuki","family":"Matsuda","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ippei","family":"Goto","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kentaro","family":"Ueda","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8519-3352","authenticated-orcid":false,"given":"Hirohiko","family":"Suwa","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1579-3237","authenticated-orcid":false,"given":"Keiichi","family":"Yasumoto","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9095279"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/23249935.2020.1809547"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2019.2921807"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-65332-2_6"},{"key":"ref5","article-title":"Bus passenger origin-destination matrix estimation using automated data collection systems","author":"Cui","year":"2006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3141\/2072-04"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s40534-018-0165-y"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s12469-019-00225-w"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3141\/2216-10"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1016\/j.trip.2023.100854","article-title":"Evaluating fare evasion risk in bus transit networks","volume":"20","author":"Barabino","year":"2023","journal-title":"Transp. Res. Interdiscipl. Perspect."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.5038\/2375-0901.16.2.6"},{"issue":"1","key":"ref12","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.trf.2011.11.006","article-title":"Measuring rail passenger crowding: Scale development and psychometric properties","volume":"15","author":"Mohd Mahudin","year":"2012","journal-title":"Transp. Res. F, Traffic Psychol. Behav."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3262978"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00476"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.physa.2018.06.078","article-title":"Estimation of crowd density applying wavelet transform and machine learning","volume":"510","author":"Nagao","year":"2018","journal-title":"Phys. A, Stat. Mech. Appl."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2634317.2642869"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/RadarConf2043947.2020.9266493"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOMW.2018.8480395"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.C12a0049"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0270346"},{"issue":"2","key":"ref21","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.ijtst.2022.03.005","article-title":"Development and evaluation of frameworks for real-time bus passenger occupancy prediction","volume":"12","author":"Wood","year":"2023","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref22","first-page":"101","article-title":"Automatic passenger counting and vehicle load monitoring","volume":"65","author":"Pinna","year":"2010","journal-title":"Ingegneria Ferroviaria"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103963"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1117\/1.3374439"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.02.016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/s20082178"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-10747-w"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICSC59802.2024.00011"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.trip.2020.100142"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/en13061446"},{"key":"ref31","first-page":"445","article-title":"Estimating bus passenger mobility with Wi-Fi data and clustering","volume":"76","author":"Fabre","year":"2024","journal-title":"Transp. Res. Proc."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2018.2854895"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/PerCom.2013.6526732"},{"key":"ref34","article-title":"Collaborative crowd density estimation with mobile phones","volume-title":"Proc. 2nd Int. Workshop Sens. Appl. Mobile Phones, ACM Conf. Embedded Netw. Sensor Syst. (SenSys)","author":"Weppner"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.106876"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.23919\/icmu58504.2023.10412158"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/s22030881"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/di-cps56137.2022.00007"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3567445.3571108"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-11756-5_14"},{"key":"ref41","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":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330701"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10955370.pdf?arnumber=10955370","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T17:07:23Z","timestamp":1745514443000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10955370\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3558988","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}