Store Recommendation Safety Scoring for Vehicle Users
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Solution Overview
Problem
Existing information processing systems for guiding vehicle users to stores along highways do not adequately consider safety factors such as road level differences, traffic volume, and accessibility when recommending stores, potentially leading to unsafe conditions for users.
Innovation Solution
An information processing apparatus and method that prioritize stores based on safety scores, considering factors like road-to-parking accessibility and traffic conditions, to provide users with safer options for visiting and leaving stores, by extracting and promoting stores with higher safety ratings within a predetermined category.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If stores are recommended based on congestion situations only, then user guidance efficiency is improved, but user safety deteriorates
Solution Approach 1:
The patent changes the recommendation parameters from only congestion-based metrics to a composite safety evaluation system that includes road level differences, traffic volume, store accessibility, and parking availability. This multi-parameter approach transforms the single-dimensional guidance into a comprehensive safety-aware recommendation system.
2Reliability
If safety evaluation factors are added to store selection, then user safety is improved, but system complexity increases
Solution Approach 1:
The safety evaluation system is segmented into distinct modular components: road level difference evaluation module, traffic volume evaluation module, store accessibility evaluation module, and parking availability evaluation module. Each module independently assesses one safety factor, making the complex system manageable and maintainable while comprehensively addressing user safety.
3Measurement precision
If comprehensive safety factors are considered, then recommendation accuracy is improved, but information processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-evaluating and storing safety factors for each store in advance. Road level differences, traffic volumes, accessibility metrics, and parking availability are assessed beforehand and cached, allowing the recommendation engine to quickly retrieve and compare pre-computed safety scores without performing complex real-time calculations.
Data Source
AI summary
An information processing apparatus extracts at least one store from a plurality of stores in accordance with an order in which degrees of safety for a target vehicle are ordered as starting from higher degrees of safety, by using information which indicates the degree of safety relevant to situations to be provided if a user visits the store and the user leaves the store by using the vehicle with respect to each of the plurality of stores belonging to a predetermined category; and provides, to the user who gets on the target vehicle, information which prompts the user to visit the at least one store.