Tourist route recommendation method, vehicle machine and storage medium

CN122262418APending Publication Date: 2026-06-23VOYAH AUTOMOBILE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
VOYAH AUTOMOBILE TECH CO LTD
Filing Date
2026-02-06
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing travel route recommendation methods cannot achieve a balance between itinerary, time spent, cost, and experience.

Method used

By receiving user input of travel route requirements, the system obtains vehicle location information, charging station information, and attraction information. It then uses a pre-trained travel route model to determine multiple travel routes, scores them using a weighted average method, and outputs recommended routes, taking into account route length, travel time, travel cost, and experience.

Benefits of technology

It achieves a balance between short route length, short travel time, low travel cost, and high experience in the recommended routes.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application provides a method for recommending travel routes, an in-vehicle system, and a storage medium, relating to the field of in-vehicle tourism service technology. The method can obtain the route length, travel time, required travel cost, and average experience score of all attractions for each travel route. Then, for each travel route, it determines a first sub-rating corresponding to the route length, a second sub-rating corresponding to the travel time, a third sub-rating corresponding to the travel cost, and a fourth sub-rating corresponding to the average experience score. A weighted average of the first, second, third, and fourth sub-ratings for each travel route is taken to obtain a recommended rating for each travel route. Based on the top N% of travel routes ranked by their recommended ratings, recommended routes are output, which can balance short route length, short travel time, low travel cost, and high average experience score, achieving a balance between the user's itinerary, travel time, cost, and overall experience.
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