Platform for finding optimal trip plan

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dc.contributor.author Kokolius, Khrystyna
dc.date.accessioned 2024-02-14T09:33:07Z
dc.date.available 2024-02-14T09:33:07Z
dc.date.issued 2023
dc.identifier.citation Kokolius, Khrystyna. Platform for finding optimal trip plan / Khrystyna Kokolius; Supervisor: Dmytro Pryimak; Ukrainian Catholic University, Department of Computer Sciences. – Lviv: 2023. – 45 p.: ill. uk
dc.identifier.uri https://er.ucu.edu.ua/handle/1/4415
dc.language.iso en uk
dc.title Platform for finding optimal trip plan uk
dc.type Preprint uk
dc.status Публікується вперше uk
dc.description.abstracten This thesis focuses on developing an architectural solution for the trip planning platform for finding the optimal trip path with appropriate tickets using particular search filters. Existing solutions on the market were investigated to understand what new features can be developed and what can be improved. In addition, there were reviewed algorithms that can be used to solve optimization problems in searching for optimal paths. An important thing to mention is that the main aim was design- ing and developing an appropriate architectural solution. The usage of a particular algorithm for solving an optimization problem does not relate to the main goals of this thesis. There were investigated possible functional and non-functional require- ments, designed microservices architecture together with data and math models and a simple user interface. Moreover, there was developed infrastructure on the Ama- zon Web Services cloud computing platform for hosting a website using the IaC approach. The platform is successfully hosted on AWS and tested on real users. uk


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