STUDY OF THE METHODS OF TOURIST TRAVELS FORMATION

Abstract

Objective of the paper is the analysis of the methods of decision-making in the sphere of tourist travels planning. Aim of tourist travels is to get bright impressions and the correct choice of the site of the travel, well-planned route will certainly improve the impressions of the tourist trip. Goal of the given study is to improve the efficiency of users support while choosing the direction of the tourist travel and planning the sequence of the sites to visit by means of development the quality software in this field. For the development of the corresponding software it is suggested to use the combined decision-taking methods, which take into account individual features and advantages of the users. Methods, suitable for the solution of the given task were considered, these methods included linear additive convolution with normalizing factors and weight coefficients, combinatorics, travelling salesman problem. The improved algorithm of selection and planning of the tourist trips, which uses the combination of these methods for obtaining the best solution for the user was proposed. Experimental study of the suggested algorithm was carried out, the study enabled to verify its efficiency at all the stages. Experimental study was performed at various types of the input data and took into account different wishes and advantages of the users. For the formation of the datasets of the experiments different sources of data about cities, countries and tourist attractions were analyzed and compared. Algorithm was realized and integrated in the mobile application for Android with the possibility of expansion, the methodology of pure architecture was applied. The suggested solution can be integrated in other system of tourist sphere. By the results of the research the following conclusion can be made: the suggested improved algorithm and software solution, developed on its base, allows to take into consideration the advantages of the users and improve the experience of tourist travels planning.