Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1056
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dc.contributor.authorWeerathunga, D. C. B-
dc.contributor.authorJayawickckrama, M. M. M-
dc.contributor.authorJayasekara, U-
dc.contributor.authorKasthurirathna, D-
dc.contributor.authorWijetunga, P. S-
dc.date.accessioned2022-02-09T06:19:33Z-
dc.date.available2022-02-09T06:19:33Z-
dc.date.issued2019-12-05-
dc.identifier.citationD. C. B. Weerathunga, M. M. M. Jayawickckrama, U. Jayasekara, D. Kasthurirathna and P. S. Wijetunga, "Crowd-sourced Approach to Generate Real-time Passenger Train Time Table," 2019 International Conference on Advancements in Computing (ICAC), 2019, pp. 198-203, doi: 10.1109/ICAC49085.2019.9103338.en_US
dc.identifier.isbn978-1-7281-4170-1-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1056-
dc.description.abstractAvailability of real-time public train transportation information can help to improve the commuters' transportation needs. Most of the time the guaranteed information is only supported in a closed system. Due to the administrative issue, there is no infrastructure to provide real-time data to any interested party. This paper proposed a framework that aims to provide a multiple-sourced crowdsourcing approach to generate Real-time Public Train information. The proposed system will enhance the accuracy as well as efficiency of the current system to provide accurate real-time train Status by crowdsourcing train location GPS (Global Positioning System) data from the passenger's smartphones. The tracing data are used to update the arrival/departure time using a predictive data source. The basic information is collected and distributed of each train route, stops and schedules. The `User Report Information' includes information related to trains and can be shared among the other interested parties through our System.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2019 International Conference on Advancements in Computing (ICAC);Pages 198-203-
dc.subjectCrowd-sourced Approachen_US
dc.subjectGenerate Real-time Passengeren_US
dc.subjectTrain Time Tableen_US
dc.subjectpassenger’s smartphonesen_US
dc.subjectGame Portalen_US
dc.subjectDelay Predictionen_US
dc.titleCrowd-sourced Approach to Generate Real-time Passenger Train Time Tableen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC49085.2019.9103338en_US
Appears in Collections:1st International Conference on Advancements in Computing (ICAC) | 2019
Department of Computer Science and Software Engineering -Scopes
Research Papers - Dept of Computer Science and Software Engineering
Research Papers - SLIIT Staff Publications

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