RAILWAY WARNING SYSTEM APPLICATION

dc.contributor.authorSatbekova, Gaukhar
dc.contributor.authorNiyazova, Gulbakhram
dc.contributor.authorBekbossynova, Akbayan
dc.date.accessioned2024-06-21T08:35:15Z
dc.date.available2024-06-21T08:35:15Z
dc.date.issued2024-04-19
dc.description.abstractThis paper presents the development and implementation of a Railway Warning System application designed to enhance railway safety by facilitating real-time communication between train drivers and maintenance personnel. The system leverages GPS tracking to provide up-to-date information on train locations and maintenance activities, ensuring drivers receive timely alerts about upcoming repair sites. This proactive notification mechanism aims to prevent accidents by allowing sufficient time for drivers to slow down or stop. The application features an intuitive user interface and integrates advanced notification capabilities, addressing the limitations of existing solutions. Developed using React JS for the front end, Django for the backend, and hosted on DigitalOcean, the system demonstrates significant improvements in operational efficiency, safety, and reliability within the railway network. Evaluation feedback indicates that the application effectively enhances communication and safety, suggesting potential for future enhancements and wider adoption.en_US
dc.identifier.citationG. Satbekova, G. Niyazova, A. Bekbossynova. (2024). Railway warning system application. Narbayev University School of Engineering and Digital Sciencesen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/7935
dc.language.isoenen_US
dc.publisherNazarbayev University School of Engineering and Digital Sciencesen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectRailway warning systemen_US
dc.subjectMobile applicationen_US
dc.subjectNotificationsen_US
dc.subjectGPSen_US
dc.subjectType of access: Restricteden_US
dc.titleRAILWAY WARNING SYSTEM APPLICATIONen_US
dc.typeBachelor's thesisen_US
workflow.import.sourcescience

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