Abstract

On the basis of analyzing current problems of city tour route planning, this paper brings forward city tour route planning model based on improved Floyd algorithm. Firstly, interest sight spot coding and selecting model are set up to form sight spot classification code. Intelligent sight spot element selecting method is brought forward. And then city tour route planning algorithm model is set up according to selected sight spot element and optimal motive iteration output model of the shortest route is obtained. Take Zhengzhou for example, motive iteration values and sight spot guide maps of different tour routes are obtained. Meanwhile, optimal tour routes and several suboptimal routes are obtained, which meet the needs of tourists’ best motive benefit. Example testifies that the algorithm conforms to the reality and it is feasible and practical to intelligent tourism route planning.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.