Multimodal Transportation Monitoring System with Risk Assessment
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Solution Overview
Problem
Modern transportation systems are complex, making it difficult for users to identify and utilize available multimodal transportation options, schedule usage, and compare different modes based on factors like cost, time, and risk.
Innovation Solution
A computer-based method that generates user-specific transportation options by analyzing geolocation data, telematics patterns, and user preferences to provide a user interface for selecting and purchasing transportation modes, including risk assessments and insurance options, and monitors user travel to create a transportation profile for personalized recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the transportation system provides a wide array of transportation options to improve flexibility and efficiency, then the system versatility is improved, but the device complexity increases making it difficult for users to identify and utilize available options
Solution Approach 1:
The patent introduces a risk assessment system as an intermediary layer between the complex multimodal transportation options and the user. This intermediary processes and evaluates the complexity of various transportation modes (driving, transit, biking, walking) and presents simplified risk assessments to users, enabling them to navigate the complex system without needing to understand all its intricacies directly.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring user transportation choices and risk profiles, then using this information to dynamically adjust and personalize risk assessments and recommendations. This feedback loop helps simplify the complex system adaptively by learning user preferences and patterns over time.
2Ease of operation
If the system automatically monitors user travel to determine transportation mode usage, then the ease of operation is improved, but the loss of information increases due to data collection requirements
Solution Approach 1:
The patent extracts and processes only the essential information needed for risk assessment from the vast amount of user travel data. Rather than collecting and storing all possible data, the system selectively extracts relevant features (transportation mode, route, time, location) and uses these minimal necessary data points to generate risk assessments, thereby reducing information loss while maintaining operational convenience.
Solution Approach 2:
The system creates a simplified copy or representation of user travel patterns and risk profiles rather than storing the complete original data. This copying approach allows the system to monitor and analyze user behavior for risk assessment purposes while minimizing the retention of detailed personal information, thus balancing ease of operation with data privacy protection.
Data Source
AI summary
Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.