Dynamic Meeting Position Control for Shared Mobility Vehicles
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Solution Overview
Problem
In the context of ultra-compact mobility vehicles, existing car sharing systems face challenges in dynamically adjusting meeting positions between users and vehicles, especially in situations where traditional meeting points are impractical due to congestion or other factors, requiring a more adaptive and accurate method to predict user locations.
Innovation Solution
An information processing apparatus and mobile object system that acquires user utterance and position information, specifies a region based on marks, sets a probability distribution of the user's movement direction, and presumes the user's location using machine learning models for voice and image recognition to adjust the meeting position.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed renting place is designated for vehicle meeting, then the vehicle management system can efficiently allocate vehicles, but the user may face difficulty meeting the vehicle due to congestion or other obstacles at the fixed location
Solution Approach 1:
The patent applies dynamics by transforming the fixed renting place into a dynamic meeting position that can be adjusted in real-time. The system determines initial renting places based on user input, then dynamically adjusts meeting positions by predicting user location through probability distributions derived from movement direction data. This allows the meeting point to adapt to changing conditions like congestion, resolving the contradiction between efficient allocation and meeting convenience.
Solution Approach 2:
The system implements feedback by continuously acquiring user movement direction information and using it to update probability distributions for user location prediction. This feedback loop enables the system to adjust meeting positions based on actual user movement patterns, ensuring the vehicle can meet the user at an accessible location while maintaining efficient allocation.
2Ease of operation
If the system designates a rough area or building as meeting point, then the user can easily locate the general area, but the specific meeting position within that area remains uncertain
Solution Approach 1:
The patent segments the meeting position determination into two levels: first designating a rough area or building based on user input, then further segmenting this area into specific positions within the probability distribution. This hierarchical segmentation allows the system to provide both general location guidance (easy for user) and precise meeting position (accurate for execution), resolving the contradiction between location identification ease and position accuracy.
Solution Approach 2:
The system adds a probabilistic dimension to the meeting position specification. Instead of a single fixed point, it creates a probability distribution across multiple positions within the designated area. This dimensional transformation allows the system to represent both the rough area (spatial dimension) and the uncertainty of specific position (probability dimension), enabling flexible meeting point selection that balances user guidance with precision.
3Adaptability or versatility
If the system uses probability distribution to predict user location, then it can adapt to user movement patterns, but the computational complexity increases
Solution Approach 1:
The patent manages computational complexity by carefully selecting and updating key parameters (movement direction, probability distribution) rather than processing all possible variables. The system changes parameters dynamically based on available data, updating the probability distribution only when new movement information is acquired. This selective parameter updating maintains prediction accuracy while controlling computational load.
Data Source
AI summary
An information processing apparatus of the present invention acquires, from a communication device of a user, at least one of utterance information by the user and position information of the communication device, specifies a predetermined region according to a mark included in the utterance information; acquires a movement direction of the user from at least one of the utterance information and the position information acquired from the communication device of the user, and setting a probability distribution that the user exists to a divided region of the predetermined region based on the acquired movement direction of the user; and presumes the user based on the set probability distribution.