Route Break Point Recommendations Based on POI Density
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Solution Overview
Problem
Existing electronic mapping systems fail to provide user-customizable break point recommendations during trips, leading to unsatisfactory travel experiences due to inadequate planning of rest stops, which results in wasted time and increased fuel consumption.
Innovation Solution
A system and method that receive user input data, including destination and break point parameters, to calculate routes and identify optimal break points based on POI density and user preferences, displaying recommended break points on electronic devices for improved trip planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If electronic maps provide route information without break point recommendations, then the system remains simple and easy to operate, but trip planning quality deteriorates leading to wasted time and fuel
Solution Approach 1:
The system performs preliminary actions by automatically calculating and recommending optimal break points along the route before the user begins their trip. The server computes break point locations based on route distance, POI density, and user preferences, then provides these recommendations in advance through the mobile device, eliminating the need for users to manually plan breaks during travel.
Solution Approach 2:
The system enables self-service by automatically generating break point recommendations without requiring user intervention. The server autonomously evaluates POI density along the route, determines optimal break locations, and presents options to the user, allowing the system to serve itself in the trip planning function rather than relying on manual user input for each break point.
2Reliability
If the system calculates multiple routes and evaluates POI density at potential break points, then break point recommendations improve, but system complexity increases
Solution Approach 1:
The server acts as an intermediary that handles the complex calculations of route analysis and POI density evaluation. Instead of embedding complex algorithms in the mobile device, the server performs the heavy computational work of analyzing multiple routes, evaluating POI density at potential break points, and generating recommendations, then transmits only the results to the user's device.
Solution Approach 2:
The system segments the trip planning function by separating route calculation and break point identification into distinct processing stages. The server first calculates multiple possible routes, then independently evaluates POI density along each route to identify potential break points, finally synthesizing these results into recommendations. This segmentation allows each component to be optimized independently.
3Adaptability or versatility
If the system provides detailed break point recommendations based on user preferences, then user satisfaction improves, but information processing requirements increase
Solution Approach 1:
The system utilizes parameter changes by accepting user preferences as input parameters (such as desired number of breaks, time constraints, or POI type preferences) and adjusting the break point recommendations accordingly. The server modifies its calculation parameters based on user inputs, dynamically changing how it evaluates and selects break points to match user needs while maintaining efficient processing.
Data Source
AI summary
Computer implemented methods are disclosed for providing geographical information to a user. One method may include receiving, from a user's electronic device and over a network, user input data including at least the destination location and a break point parameter and calculating one or more routes from the start location to the destination location, based on the user input data. The method may also include identifying one or more intermediate break point locations along the one or more routes based on the break point parameter received from the user and identifying a range extending around each intermediate break point location, and potential break points. A step may also be executed in which a density or type of points of interest within each potential break point may be evaluated by the electronic device and a recommended for a break point made.