{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T20:00:59Z","timestamp":1768420859955,"version":"3.49.0"},"reference-count":24,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T00:00:00Z","timestamp":1768348800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100012331","name":"Agentschap Innoveren en Ondernemen","doi-asserted-by":"publisher","award":["HBC.2021.0865"],"award-info":[{"award-number":["HBC.2021.0865"]}],"id":[{"id":"10.13039\/100012331","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Congested platforms in public transportation systems can jeopardize the safety and comfort of passengers. Real-time crowd size estimation using Device-Free Wireless Sensing (DFWS) can offer a privacy-preserving solution for monitoring and preventing overcrowding. However, no public dataset exists on DFWS in public transportation environments. In this work, we introduce a new dataset comprising two different public transportation environments, which contains data on the presence of rail vehicles at the platform, as well as manual people counts at regular intervals. By providing this dataset, we aim to offer a foundation for other DFWS researchers to explore novel algorithms and methods in public transportation environments.<\/jats:p>","DOI":"10.3390\/data11010021","type":"journal-article","created":{"date-parts":[[2026,1,14]],"date-time":"2026-01-14T11:01:14Z","timestamp":1768388474000},"page":"21","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Dataset for Device-Free Wireless Sensing of Crowd Size in Public Transportation Environments"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2046-0912","authenticated-orcid":false,"given":"Robin","family":"Janssens","sequence":"first","affiliation":[{"name":"IDLab, Faculty of Applied Engineering, IMEC, University of Antwerp, 2000 Antwerp, Belgium"},{"name":"CrowdScan BV, 2640 Mortsel, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0064-5020","authenticated-orcid":false,"given":"Rafael","family":"Berkvens","sequence":"additional","affiliation":[{"name":"IDLab, Faculty of Applied Engineering, IMEC, University of Antwerp, 2000 Antwerp, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2698-8128","authenticated-orcid":false,"given":"Ben","family":"Bellekens","sequence":"additional","affiliation":[{"name":"CrowdScan BV, 2640 Mortsel, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2026,1,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"750","DOI":"10.1016\/j.egypro.2017.03.237","article-title":"A Data-driven Approach to Assess the Potential of Smart Cities: The Case of Open Data for Brussels Capital Region","volume":"111","author":"Zotano","year":"2017","journal-title":"Energy Procedia"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"13","DOI":"10.17645\/up.v2i2.931","article-title":"Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges","volume":"2","author":"Jittrapirom","year":"2017","journal-title":"Urban Plan."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Rindone, C. 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