Crowdsourcing based train tracking
dc.contributor.author | Hewage, GHRG | |
dc.contributor.editor | Pemasiri, A | |
dc.contributor.editor | Bandara, M | |
dc.contributor.editor | Meedeniya, D | |
dc.contributor.editor | Perera, I | |
dc.date.accessioned | 2022-12-09T10:48:56Z | |
dc.date.available | 2022-12-09T10:48:56Z | |
dc.date.issued | 2015-10 | |
dc.description.abstract | A considerable fraction from the general population use trains as their means of transportation in Sri Lanka [1]. Even though the railway system fulfils the transportation needs of a lot of people, being one of the cheapest means of travelling, it has its own disadvantages as well, such as the regular delays of trains. Most of the time, the passengers get to know about the delays of trains after they have reached the railway stations. An effort made to reduce the effect this particular issue is discussed through this paper. The proposed solution is a mobile application powered by crowdsourcing, which let the users of the application know where a particular train is at a particular moment. Thus by letting them know whether the train in which they are willing to travel is on schedule or not and arrange other means of transport as necessary. | en_US |
dc.identifier.citation | ***** | en_US |
dc.identifier.conference | Proceedings of the CSE Symposium 2015 | en_US |
dc.identifier.department | Department of Computer Science and Engineering | en_US |
dc.identifier.email | rajith.11@cse.mrt.ac.lk | en_US |
dc.identifier.faculty | Engineering | en_US |
dc.identifier.pgnos | pp. 27-30 | en_US |
dc.identifier.place | Moratuwa, Sri Lanka. | en_US |
dc.identifier.proceeding | Proceedings of the CSE Symposium 2015 | en_US |
dc.identifier.uri | http://dl.lib.uom.lk/handle/123/19739 | |
dc.identifier.year | 2015 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Computer Science and Engineering, University of Moratuwa. | en_US |
dc.subject | Crowdsourcing | en_US |
dc.subject | Train-tracking | en_US |
dc.subject | Client-server | en_US |
dc.title | Crowdsourcing based train tracking | en_US |
dc.type | Conference-Full-text | en_US |