IDEAS home Printed from https://ideas.repec.org/a/baq/taprar/v1y2024i2p45-52.html
   My bibliography  Save this article

Development of information system for planning personalized tourist routes

Author

Listed:
  • Artur Kondra

    (Lviv Polytechnic National University)

  • Valeriia Savchuk

    (GlobalLogic Ukraine; Lviv Polytechnic National University)

  • Sergiy Pasichnyk

    (Lviv Polytechnic National University)

  • Nataliia Kunanets

    (Lviv Polytechnic National University)

  • Hanna Мashika

    (State University «Uzhhorod National University»)

Abstract

The object of research is processes of information and technological planning of tourist trips. The article analyzes the processes of information technology planning of tourist trips and develops an information system for personalized planning of tourist routes using graph theory. The paper describes in detail a new approach to the formation of optimal routes based on graph models and the analysis of personal preferences of users.The developed information system uses graph theory to represent and optimize tourist routes, taking into account various criteria such as distance, travel time, and individual user preferences. Algorithms for calculating optimal routes are designed to improve the quality of recommendations and provide a high level of personalization.The functionality of the information system for planning tourist routes is based on the use of a number of innovative approaches and technologies that make the system more efficient, accurate and attractive to users. This takes into account the need to use modern route optimization algorithms. Algorithms have been developed to optimize tourist routes based on various criteria, such as cost, time, personal preferences, and environmental aspects. The introduction of intelligent analytical tools for predicting tourist trends helps to determine the popularity of places and other factors that influence the choice of routes. For the audio support of the excursion route, an algorithm for generating multimedia information content that is relevant to an individual personalized excursion route and its duration is used. The authors formulate the requirements and analyze the functionality of the information system for personalized planning of tourist routes, since a personalized approach and the use of graph models facilitate route planning that takes into account various aspects, including user-friendliness, accuracy of recommendations, system flexibility and security.The developed information system can open up new opportunities for individual and intelligent planning of tourist routes, providing users with a unique tourist experience.

Suggested Citation

  • Artur Kondra & Valeriia Savchuk & Sergiy Pasichnyk & Nataliia Kunanets & Hanna Мashika, 2024. "Development of information system for planning personalized tourist routes," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 1(2(75)), pages 45-52, February.
  • Handle: RePEc:baq:taprar:v:1:y:2024:i:2:p:45-52
    DOI: 10.15587/2706-5448.2024.298422
    as

    Download full text from publisher

    File URL: https://journals.uran.ua/tarp/article/download/298422/291392
    Download Restriction: no

    File URL: https://libkey.io/10.15587/2706-5448.2024.298422?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:baq:taprar:v:1:y:2024:i:2:p:45-52. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Iryna Prudius (email available below). General contact details of provider: https://journals.uran.ua/tarp/issue/archive .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.