In-Vehicle Voice Message Scheduling Based on Predicted Travel Conditions
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Solution Overview
Problem
Conventional voice information reproduction systems fail to optimize output according to changing vehicle travel conditions, leading to potential interference and reduced effectiveness in delivering multiple voice messages.
Innovation Solution
An information processing apparatus and method that predicts vehicle travel conditions and calculates priority and output order for multiple voice messages based on geographical and temporal ranges, ensuring non-interfering and optimized reproduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple pieces of voice information are reproduced and output at the same time, then the quantity of information delivered to the driver increases, but the voice information may interfere with each other and inhibit driving
Solution Approach 1:
The system performs preliminary scheduling of voice information reproduction timing based on predicted travel conditions. By predicting future travel states and pre-determining the optimal reproduction order of multiple voice messages, the system avoids last-minute conflicts and ensures smooth sequential output without interference, thus delivering multiple information pieces without harmful overlap
Solution Approach 2:
The reproduction scheduling is made dynamic by continuously updating based on predicted travel conditions. The system adjusts the reproduction order and timing of voice information according to changing travel states, making the information delivery adaptive to real-time conditions while preventing interference between multiple voice outputs
2Device complexity
If the reproduction order is determined merely by selecting combinations with minimum degree of loss, then the complexity of scheduling is reduced, but the optimization of reproduction output according to travel condition changes is insufficient
Solution Approach 1:
The system performs preliminary prediction of travel conditions and pre-calculates the optimal reproduction order of voice information based on these predictions. By doing the optimization work in advance rather than reactively selecting from combinations, the system achieves both computational efficiency and high adaptability to travel condition changes
Solution Approach 2:
The system uses predicted travel condition data as feedback to dynamically adjust the reproduction scheduling. The prediction results feed into the scheduling decision-making process, creating a closed-loop system that continuously optimizes voice information delivery based on actual and predicted travel states, achieving high adaptability without excessive complexity
Data Source
AI summary
An information processing apparatus includes a first acquisition unit that acquires movement information about a moving condition of a mobile object, a second acquisition unit that acquires area information corresponding to each of a plurality of pieces of content information and indicating a geographical range in which the content information is to be reproduced and output, a prediction unit that predicts the moving condition of the mobile object within the geographical range based on the movement information, a calculation unit that calculates priority of reproduction output for each of the plurality of pieces of content information based on a result of the prediction by the prediction unit, and a determination unit that determines an output order in reproducing and outputting the plurality of pieces of content information in the mobile object, according to the priority calculated by the calculation unit.