Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/11244
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dc.contributor.authorVenkatagiri, Shankar
dc.contributor.authorKumar, Gaurav
dc.contributor.authorKaushik, Munish
dc.date.accessioned2020-04-01T13:36:53Z-
dc.date.available2020-04-01T13:36:53Z-
dc.date.issued2018
dc.identifier.isbn9789897582936
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/11244-
dc.description.abstractPublic transit systems offer a smart option to reduce congestion in Indian cities. Due to the poor service quality of public bus transit operators, more commutes are now being completed using private transport, exacerbating traffic problems. In this paper, we examine AVL data generated by public buses in Bengaluru and identify a problem of schedule compliance for buses plying a popular route. We then undertake a time series analysis of the trip run times. We finalise on an ARIMA model and derive a forecast of completion times. We conclude with recommendations for trip scheduling.
dc.publisherScitepress
dc.subjectAvl Systems
dc.subjectBig Data Platforms
dc.subjectDashboard Visualisation
dc.subjectITs
dc.subjectTime Series Modeling
dc.subjectVehicle Analytics
dc.titleBus schedule rationalisation an analysis of trip completion times
dc.typePresentation
dc.relation.conference4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS): 16-18 March, 2018, Funchal, Madeira, Portugal,
dc.relation.publicationVEHITS 2018 - Proceedings of The 4Th international Conference On Vehicle Technology and intelligent Transport Systems-
dc.pages403-410p.
Appears in Collections:2010-2019 P
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