Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1304
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dc.contributor.authorJayawardena, A. N-
dc.contributor.authorSachith, K-
dc.contributor.authorWijekoon, J-
dc.date.accessioned2022-02-21T05:55:06Z-
dc.date.available2022-02-21T05:55:06Z-
dc.date.issued2011-04-11-
dc.identifier.isbn9781538652985-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1304-
dc.description.abstractTransportation system is a massive enterprise with substantial direct and indirect effects on economic growth of a country, and train system is playing a major role of the transportation system. However, the train system in Sri Lanka is usually late and the passengers come to the stations without knowing the train arrival time, whereas the passengers waste their valuable time at the train station waiting for the trains. To this end, this paper proposes to the smarten Sri Lankan the train system by predicting the time a train reaches to its upcoming stations and sending the notifications to the subscribers about the arrival time to their stations. Subscribers then can reach their station whenever the train is reaching to the station or they can use any other means of transportation if the train is late.en_US
dc.language.isoenen_US
dc.publisheracm.orgen_US
dc.relation.ispartofseriesProceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks;Pages 110-111-
dc.subjectRailwayen_US
dc.subjectTransportationen_US
dc.subjectDelayen_US
dc.subjectTime Predictionen_US
dc.subjectArrivalen_US
dc.titleTrainko: poster abstract: train arrival time prediction system for Sri Lankaen_US
dc.typeArticleen_US
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - SLIIT Staff Publications

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