Passenger Density Detection in Railway Carriages

Basit Öğe Kaydı
dc.contributor.authorAras, Yusuf Efe
dc.contributor.authorAkpınar, Muhammet
dc.contributor.authorKayaarma, Selma Yilmazyildiz
dc.date.accessioned2026-02-08T15:11:01Z
dc.date.available2026-02-08T15:11:01Z
dc.date.issued2024
dc.departmentBursa Teknik Üniversitesi
dc.description2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 2024-10-16 through 2024-10-18 -- Ankara -- 204562
dc.description.abstractIn this study, the goal is to contribute to reducing waiting times and to improve passanger comfort with passenger density estimation using deep learning methods. For this purpose, the YOLOv8 deep learning model was used to detect passenger density in urban rail systems. The model is trained with the CrowdHuman dataset. The trained model runs on a Raspberry Pi 5 and processes images obtained from IP cameras. These processed images are stored in an SQL Server via an API and the density estimation results are displayed on an LCD screen. This design aims to make the system feasible in the field in terms of performance and cost. The trained model, detects the passenger occupancy with a test accuracy rate of up to 90% and offers significant advantages in real-time applications due to its low computational power requirements. © 2024 IEEE.
dc.description.sponsorshipIEEE SMC; IEEE Turkiye Section
dc.identifier.doi10.1109/ASYU62119.2024.10757104
dc.identifier.isbn9798350379433
dc.identifier.scopus2-s2.0-85213364711
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU62119.2024.10757104
dc.identifier.urihttps://hdl.handle.net/20.500.12885/5163
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzScopus_KA_20260207
dc.subjectcrowd analysis
dc.subjectdeep learning
dc.subjectdensity detection
dc.subjectimage processing
dc.subjectYOLO
dc.titlePassenger Density Detection in Railway Carriages
dc.title.alternativeVagon İçi Yolcu Yoğunluğu Tespiti
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu