A method for planning three-dimensional dynamic tour routes in marine heritage tourist areas by integrating multi-source data

By integrating multi-source data into a 3D dynamic tour path planning method, the problems of data fragmentation, single constraint processing, and lack of path personalization in existing technologies are solved. This method enables real-time perception and dynamic replanning, generating time-accurate and highly personalized tour paths.

CN122133893APending Publication Date: 2026-06-02QINGDAO UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
QINGDAO UNIV OF TECH
Filing Date
2026-03-20
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies cannot achieve automated fusion of multi-source data, resulting in low-quality tour path generation, execution difficulties, inability to handle multiple constraints, lack of dynamic adjustment, lack of personalization and terrain adaptability, and difficulty in promotion and application.

Method used

By integrating basic geographic data, operational time data, dynamic passenger flow data, and tourist preference data, the system calculates walking time based on three-dimensional spatial coordinates, and uses a hybrid heuristic algorithm to plan routes, thereby sensing and triggering replanning in real time and forming a closed-loop decision-making mechanism for multi-constraint collaborative optimization.

Benefits of technology

It achieves real-time and accurate multi-source data fusion and 3D spatial modeling, and provides high-quality personalized path planning with terrain adaptability and real-time response capabilities, suitable for diverse scenic areas.

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Abstract

This invention belongs to the field of smart tourism technology and discloses a method for planning three-dimensional dynamic tour routes in marine heritage tourist areas by integrating multi-source data. The invention includes: acquiring multi-source data of the scenic area; calculating the walking time of tourists between attractions based on three-dimensional spatial coordinates; predicting the estimated queuing time of each attraction at different times in the future based on dynamic visitor flow data; planning an initial three-dimensional tour route based on walking time, estimated queuing time, operating time data, and tourist preference and constraint data using a hybrid heuristic algorithm; and triggering route replanning when the estimated queuing time of any unvisited attraction within the tour route exceeds the maximum queuing time threshold for a single attraction, thereby generating an optimized three-dimensional tour route. This invention solves the problem that existing technologies cannot comprehensively handle three-dimensional terrain, real-time queuing, multi-dimensional time windows, and personalized interests, achieving high-precision personalized tour route planning with dynamic replanning capabilities.
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