Feasibility Study: Al-based Passenger Counting System for Public Transit

dc.contributor.authorPeraic, Martin Hrvoje
dc.contributor.mentorJüngling, Stephan
dc.contributor.partnerBasler Verkehrs-Betriebe, Basel
dc.date.accessioned2023-12-22T16:00:46Z
dc.date.available2023-12-22T16:00:46Z
dc.date.issued2019
dc.description.abstractOver 350 000 passengers are transported daily by the Basler Verkehrs-Betriebe. Many of these passengers hold a season ticket, which is offered by the Tarifverbund Nordwerstschweiz (TNW). The TNW compensates all public transport providers based on the number of passengers transported. Therefore, all operators must provide verifiable passenger counts. Recent breakthroughs in AI based object recognition enable reliable real-time object detection. Combined with a tracking, the aim is to determine whether this technology can be used to count passengers in public transport.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/40291
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialBasel
dc.subject.ddc330 - Wirtschaft
dc.titleFeasibility Study: Al-based Passenger Counting System for Public Transit
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeBachelor
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutBachelor of Science
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relation.isMentorOfPublication.latestForDiscoveryccc10225-9dbf-489d-8ea2-5b512f52637a
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