Server Route Recommendation for Personal Mobility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current recommended route services for personal mobility devices do not consider the type of personal mobility, leading to inconvenience for users when trying to use these devices for travel.
Innovation Solution
A server system that determines a recommended route consisting of a first route by vehicle or public transport and a second route by foot or personal mobility, and recommends suitable personal mobility based on environment information such as road type, congestion degree, and terrain state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a recommended route service provides only the shortest time or minimum cost route, then the route efficiency is improved, but the usability for personal mobility devices deteriorates due to lack of consideration for device type and environmental conditions
Solution Approach 1:
The patent applies local quality by providing different route recommendations and personal mobility suggestions based on specific environmental conditions of different route segments. The system analyzes terrain state, road type, and congestion degree for each segment and recommends appropriate personal mobility devices (e.g., scooter for flat roads, bicycle for hilly areas) rather than providing a single uniform route recommendation, thereby improving usability while maintaining efficiency.
Solution Approach 2:
The system changes the parameters of route recommendation by incorporating environmental factors (terrain state, road type, congestion degree) and personal mobility device characteristics into the routing algorithm. This transforms the traditional single-parameter (time/cost) optimization into a multi-parameter optimization that balances route efficiency with device suitability and user convenience.
2Ease of operation
If the system provides detailed environmental information and multiple route options, then the usability for personal mobility is improved, but the system complexity increases
Solution Approach 1:
The patent segments the route into multiple sections based on environmental conditions (terrain, road type, congestion) and provides specific personal mobility recommendations for each segment. This segmentation allows the system to manage complexity by breaking down the overall routing problem into smaller, condition-specific sub-problems, making the system more manageable while providing comprehensive recommendations.
Solution Approach 2:
The system performs preliminary analysis of environmental conditions (terrain state, road type, congestion degree) before providing route recommendations. By pre-processing and categorizing environmental data, the system prepares the information needed for personalized recommendations in advance, reducing the computational complexity during the actual recommendation phase while maintaining high usability.
3Adaptability or versatility
If the system recommends personal mobility based on multiple environmental factors, then the suitability of personal mobility is improved, but the information processing requirements increase
Solution Approach 1:
The patent extracts and focuses on the most critical environmental factors (terrain state, road type, congestion degree) that directly affect personal mobility suitability, rather than processing all possible environmental data. This selective extraction of key information reduces the information processing load while maintaining high adaptability in personal mobility recommendations.
Solution Approach 2:
The system incorporates user feedback and historical data to refine its personal mobility recommendations over time. By using feedback mechanisms, the system learns from actual user experiences and environmental conditions, improving the suitability of recommendations without proportionally increasing information processing requirements, as the learned patterns are reused for future recommendations.
Data Source
AI summary
A server is provided to recommend suitable personal mobility based on a recommended route. The server includes a communicator and a controller that determines a first route to an intermediate destination reachable by a vehicle or a public transport based on departure information and destination information received from an external device, and a second route from the intermediate destination reachable by foot or a personal mobility to a final destination. The controller determines a recommended personal mobility based on environment information of the second route and operates the communicator to transmit information about each of the first route, the second route, and the recommended personal mobility to the external device.