Intelligent planning method and system for tour route

Abstract

The invention belongs to the technical field of intelligent planning of tourism routes, and discloses an intelligent planning method and system of a tourism route. The intelligent planning system for the tour route comprises a scenic spot information acquisition module, a scenic spot classification module, a central control module, a user demand acquisition module, a classification recommendation module, a user position information acquisition module, a distance calculation module, a traffic information acquisition module, a time budget module, a scenic spot recommendation module and a traffic mode recommendation module. And a display module. According to the invention, the tourist route can be planned according to the scenic spots selected by the user, and the requirements of people for freely selecting the scenic spots and freely distributing time are met; by incorporating destination information, various traffic modes and road conditions along the way into an algorithm, the early-stage information collection burden of a user can be effectively reduced; a user autonomously selects a sightseeing scenic spot, and a program automatically obtains related information of the scenic spot, so that the problem of incomplete collection of user information can be avoided.

Description

technical field [0001] The invention belongs to the technical field of intelligent planning of travel routes, and in particular relates to an intelligent planning method and system method for travel routes. Background technique [0002] At present, with the advent of the intelligent stage of tourism and the era of big data, the research technology and demand for the development of scenic tourist routes and scenic spots in the tourism industry are also increasingly upgraded. However, most of the route optimization algorithms at this stage are only researched and discussed at the level of theoretical algorithms. They lack consideration of road conditions for route itineraries, and do not take into account the differences between various scenic spots. In actual situations, complex networks, The solution space of the solution is greatly expanded and the complexity is further improved, but it cannot meet the individual needs of various tourists' travel itineraries; at the same ti...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: most of the route optimization algorithms at the present stage are only researched and discussed at the level of theoretical algorithms, lack of consideration of road conditions for route itineraries, and do not take into account the differences of various scenic spots Considering the scope, the complex network in the actual situation will greatly expand the solution space and further increase the complexity, and it cannot meet the individual needs of various tourists' travel itineraries; at the same time, in the tourism industry, with the continuous development of social economy With the development, users can choose more travel destinations, but under the premise of the rapid expansion of Internet information, the operation and acquisition of information is becoming more and more complicated, and it is impossible to accurately recommend the best travel routes for users

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