Trip Planning System Integrating Time Constraints
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Solution Overview
Problem
Existing mobile device applications for trip planning do not effectively integrate user-related constraints, such as time and preferences, when presenting points-of-interest along a projected route.
Innovation Solution
A computer-implemented method and system that determines a projected route between a first and second location, identifies points-of-interest along this route, and schedules events based on user-provided information, including time and location associations, to present relevant points-of-interest to the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing mobile device applications present points-of-interest to users, then users can discover local sites and attractions, but the applications do not integrate user-related constraints such as time and preferences
Solution Approach 1:
The system segments the trip planning process into distinct components: route determination, point-of-interest identification, constraint integration (time, preferences), and scheduling. Each component processes specific data and produces structured output that feeds into the next stage, making the overall complex system manageable and adaptable to user constraints
Solution Approach 2:
The system dynamically adjusts multiple parameters including time windows for visiting locations, route optimization based on user preferences, and scheduling constraints. By changing these parameters based on user input, the system adapts the trip plan to meet specific user requirements while maintaining overall trip coherence
2Ease of operation
If the system determines a projected route and identifies points-of-interest, then users receive personalized recommendations, but the system must process multiple constraints and user preferences
Solution Approach 1:
The system performs preliminary actions by pre-determining the projected route between origin and destination, pre-identifying relevant points-of-interest along the route, and pre-processing user constraints before final trip assembly. This preliminary processing simplifies the user interaction while handling complex constraint satisfaction in the background
Solution Approach 2:
The system introduces an intermediary processing layer that mediates between user constraints (time, preferences, must-visit locations) and the route/POI recommendations. This intermediary layer translates user requirements into filtered and ranked point-of-interest suggestions that satisfy all constraints while maintaining ease of operation
Data Source
AI summary
A projected route between a first location and a second location is determined. A first point-of-interest associated with a third location proximate to the projected route is determined. The first point-of-interest is presented to a user. Additionally or alternatively, a plurality of locations are identified. Each location of the plurality of locations is associated with a respective time. A point-of-interest is received from a user. The point-of-interest is associated with a point-of-interest location. A projected route including the plurality of locations and the point-of-interest location is determined based at least in part on at least one time associated with the plurality of locations.