Route Generation System with Detour Monetization
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Solution Overview
Problem
Conventional route generation systems primarily focus on minimizing travel time and distance, ignoring opportunities for monetary rewards and benefits associated with alternative routes that could be offered by businesses or entities along the way.
Innovation Solution
The system generates routes that include detours to pass by specific locations, offering users monetary rewards or incentives, by analyzing monetization opportunities and altering the original route to include these detours, allowing users to choose between original and altered routes based on reward potential.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional route generation systems minimize travel time and distance, then travel efficiency is improved, but monetary reward opportunities are lost
Solution Approach 1:
The system segments the route into multiple possible paths, evaluating each segment for monetization opportunities. Instead of treating the route as a single optimized path, it divides the journey into alternative segments that can be individually assessed for reward potential, allowing the system to balance travel efficiency with monetary gains.
Solution Approach 2:
The route generation system dynamically adjusts between different routing objectives based on user preferences and real-time conditions. It can switch between prioritizing travel time, distance, or monetary rewards, making the system adaptable rather than static in its optimization criteria.
2Adaptability or versatility
If the system includes detours to pass by specific locations for monetary rewards, then user engagement with businesses increases, but travel time increases
Solution Approach 1:
The system implements partial detours rather than complete route changes. It includes only the necessary detour portion to achieve monetization goals, minimizing the excessive time loss while still providing user engagement opportunities with businesses along the altered route segments.
Solution Approach 2:
The system pre-identifies monetization locations and plans detour routes in advance before the actual journey begins. By calculating optimal detour paths beforehand, it reduces the cognitive load during travel and allows users to make informed decisions about time investment for monetary rewards.
3Adaptability or versatility
If multiple equivalent routes are produced based on monetization opportunities, then route selection flexibility increases, but system complexity increases
Solution Approach 1:
The system introduces an intermediary monetization evaluation layer between the basic route generation and final route selection. This intermediary component assesses monetization opportunities and integrates them with traditional routing algorithms, providing route selection flexibility without requiring complete system redesign.
Solution Approach 2:
The routing system is designed to perform multiple functions: traditional shortest-path optimization, monetization opportunity identification, detour calculation, and user preference integration. By making the system universal and multi-functional, it handles diverse routing needs through a unified framework rather than separate specialized systems.
Data Source
AI summary
A user can be compensated for taking detours from a projected route. Commonly, the reason for the compensation is that the user will be subjected to advertising, the user will pass by an establishment she is likely to visit, or to ease traffic congestion. Analysis of an area takes place and monetization opportunities are determined based upon the results of the analysis. A route between at least about two locations can be altered such that the user is provided a reward, commonly in an optimized manner.