Mobility Service Recommendation System for Shared Vehicle Selection
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Solution Overview
Problem
Users face difficulties in selecting the most suitable shared vehicle or mobility service providers from multiple options without having to register with each provider individually, leading to time-consuming and frustrating experiences, especially in areas with numerous service providers.
Innovation Solution
A system that determines a user's mobility patterns and preferences, aggregates data from various mobility service providers, and recommends the most suitable providers based on these patterns and data, allowing users to register through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users register with multiple mobility service providers individually, then they can access more service options, but the time and effort required for registration increases significantly
Solution Approach 1:
The patent introduces a recommendation system as an intermediary between users and mobility service providers. This system analyzes user mobility patterns and automatically selects suitable providers, eliminating the need for users to manually evaluate and register with multiple providers. The intermediary processes the matching logic, allowing users to access multiple services through a single recommendation interface rather than individual registrations.
Solution Approach 2:
The system performs preliminary analysis of user mobility patterns and pre-selects appropriate mobility service providers before users need to make registration decisions. By conducting the selection process in advance based on historical data and patterns, the system prepares a curated list of recommended providers, saving users the time of evaluating multiple options manually.
2Reliability
If users manually evaluate multiple mobility service providers, then they can find the most suitable one, but the process becomes complex and frustrating
Solution Approach 1:
The recommendation system enables self-service by automatically performing the evaluation and selection process that would otherwise require manual user effort. The system analyzes mobility patterns, compares provider characteristics, and autonomously generates recommendations, freeing users from the complex task of manually assessing multiple providers while maintaining reliable selection quality.
Solution Approach 2:
The system uses feedback from user mobility patterns to continuously improve provider recommendations. By analyzing historical data about user travel behavior, preferences, and actual service usage, the system refines its selection algorithm to better match suitable providers with user needs, making the selection process both easier and more reliable over time.
Data Source
AI summary
An approach is provided for providing an automated recommendation of mobility service providers (e.g., based on a user mobility pattern). The approach involves aggregating mobility service data from a plurality of candidate mobility service providers, wherein the plurality of candidate mobility service providers provide shared vehicle services. The approach further involves selecting at least one recommended mobility service provider from the plurality of candidate mobility service providers based on the mobility pattern and the mobility service data. The approach further involves presenting a recommendation for the user to register for the at least one recommended mobility service provider in a user interface.