Travel Route Planning Server Segmentation
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Solution Overview
Problem
Existing travel route planning systems fail to provide users with specific, reasonable, and detailed travel plans, often resulting in inefficient journeys and missed attractions due to lack of consideration for travel spot types and time periods.
Innovation Solution
A method and system where a planning server receives travel parameters, determines relevant travel spots by type and time, computes optimal touring routes based on predetermined mapping relationships and distances, and returns these routes to the user terminal, either by using provided correlation data or dividing travel cycles into periods for planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing travel client programs provide general travel route plans, then users can obtain basic routing information, but the plans are not specific enough for different time periods and lack合理性, resulting in wasted time and missed attractions
Solution Approach 1:
The patent segments the travel route planning by dividing it into different time periods (first time period and second time period) and different spot types (first spot type and second spot type). This allows the system to provide specific, customized routing information for each combination of time period and spot type, rather than providing a single general route plan. The segmentation enables precise matching of attractions to appropriate time slots and optimizes routing within each segment.
Solution Approach 2:
The patent implements dynamic route planning by determining different optimal routes based on the current time and the type of attraction. The system dynamically selects which route to recommend (first optimal route or second optimal route) based on real-time conditions and spot categories, making the routing information adaptive and context-specific rather than static and generic.
2Productivity
If travel routes are planned without considering spot types and time periods, then the planning process is simple, but users spend excessive time traveling between attractions and miss many attractions
Solution Approach 1:
The system segments attractions into different spot types (first spot type, second spot type) and time periods (first time period, second time period). This segmentation allows the planning system to efficiently match users with appropriate attractions based on their preferences and available time, improving travel efficiency by reducing time spent on irrelevant attractions and optimizing routing between selected attractions.
Solution Approach 2:
The patent changes the parameters of route planning by introducing spot type classification and time period segmentation as key parameters. The system computes different optimal routes (first optimal route, second optimal route) based on these parameter changes, enabling efficient routing decisions that consider both the category of attraction and the time of visit, thereby improving overall travel productivity.
3Loss of information
If general routing information is provided without time-specific planning, then the system operation is simple, but users cannot obtain detailed and efficient travel plans for different time periods
Solution Approach 1:
The patent segments route information into time-specific segments (first time period information, second time period information) and spot-type segments (first spot type information, second spot type information). This segmentation ensures that users receive complete and relevant routing information for each time period and spot type combination, preventing information loss while organizing data in a structured manner that manages processing complexity.
Solution Approach 2:
The system processes and provides routing information based on changed parameters including time period and spot type. By computing optimal routes that incorporate these parameter changes, the system delivers comprehensive route information tailored to specific time periods and attraction types, ensuring completeness of information while using parameter-based organization to manage data processing efficiently.
Data Source
AI summary
A method of planning a travel route includes: receiving a travel route planning request carrying travel parameters sent by a user terminal and determining travel spots of each travel spot type. If the travel parameters include the correlation data between travel spot types and travel time periods, finding the travel spots of the travel spot type corresponding to each travel spot type. If no correlation data is included, dividing a travel cycle specified in the travel parameters into at least one travel time period; computing a corresponding travel spot touring route for each travel time period based on predetermined mapping relationships between the travel spots of each travel spot type, the touring times and distances between different travel spots of the travel spot type; and returning the corresponding travel spot touring route to the user terminal. The present invention further discloses a planning server.