Geographic Itinerary Generation With Route-Based POI Selection
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Solution Overview
Problem
Existing systems require extensive user interaction and planning to generate a cohesive set of geographically located selections, necessitating engagement with multiple interfaces.
Innovation Solution
A system and method for generating geographic and time-bounded data objects that include a processor to receive a target location and transition period, identify points of interest, determine routes, and select objects via graphical interfaces, combining them into a data object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users select products or services within geographic regions using existing interfaces, then they can make individual selections, but they must perform extensive planning and searching across multiple interfaces to build a cohesive set of geographically located selections
Solution Approach 1:
The patent combines multiple separate interfaces (lodging selection, activity selection, route planning) into a single integrated itinerary generation system. The system simultaneously handles geographic region selection, points of interest identification, route determination, and cohesive itinerary assembly in one unified interface, eliminating the need for users to navigate multiple separate systems.
Solution Approach 2:
The itinerary generation system performs multiple functions within a single platform: it selects lodging, identifies points of interest, determines optimal routes, and assembles cohesive itineraries. This multi-functional approach allows users to complete entire travel planning tasks without switching between specialized tools.
2Productivity
If users interact with multiple interfaces to generate geographically located selections, then they can access specialized features, but the user effort and time required increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically identifying points of interest, determining optimal routes, and pre-assembling itinerary components based on the selected geographic region. This automated preliminary processing eliminates the need for users to manually search and plan each element, significantly reducing planning time and effort.
Solution Approach 2:
The itinerary generation system performs self-service by automatically compiling cohesive itineraries from selected geographic regions without requiring extensive user intervention. The system autonomously handles route optimization, point of interest selection, and itinerary assembly, reducing the time users spend on manual planning tasks.
Data Source
AI summary
Systems and methods for generating geographic and time bounded data objects are disclosed. A route object is obtained based on a received target geographic location and a location transition period. The route object includes a set of points of interest. A route between each point of interest is determined and a first geospatial search is implemented along the route to identify a set of first selectable objects. A selection of at least one first selectable object is received via the first graphical interface. A second geospatial search is implemented to identify a set of second selectable objects each associated with one of the points of interest. A selection of at least one second selectable object is received via a second graphical interface. A data object including the at least one route object, the at least one first selectable object, and the at least one second selectable object is generated.