Route Recommendation System Using User-Specific Cost Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing route search systems fail to provide personalized driving route recommendations that cater to individual user preferences beyond toll fees and travel time, as they do not adequately consider other factors such as scenery, road conditions, and facility availability.
Innovation Solution
An information processing apparatus and method that determines a recommendation order of driving route candidates by incorporating selection likelihoods and user-specific weight coefficients, converting travel costs using a time-cost conversion rate and weight application rate to reflect user preferences, thereby prioritizing routes with higher potential factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional route search systems only consider toll fees and travel time, then the calculation process is simple, but the route recommendations do not match individual user preferences
Solution Approach 1:
The patent transforms qualitative user preferences into quantitative parameters by introducing weight coefficients for different route factors (scenery, road conditions, facilities) and converting travel time into cost parameters. This allows the system to handle personalized recommendations through mathematical calculations rather than complex qualitative assessments.
Solution Approach 2:
The patent introduces an intermediary conversion mechanism that translates user preferences into weight coefficients and cost parameters. This intermediary layer (the conversion unit) mediates between user subjective preferences and objective route evaluation, simplifying the overall system complexity while maintaining personalization capability.
2Measurement precision
If the system converts travel time into cost parameters using time-cost conversion rates, then user preferences are better reflected, but the calculation complexity increases
Solution Approach 1:
The patent applies parameter transformation by converting travel time (a physical quantity) into cost parameters (an economic quantity) through time-cost conversion rates. This allows diverse factors like scenery, road conditions, and time to be unified into a common evaluation metric, improving measurement precision while maintaining calculation tractability.
3Adaptability or versatility
If the system incorporates multiple factors such as scenery, road conditions, and facility availability, then route quality improves, but the data processing requirements increase
Solution Approach 1:
The patent merges multiple diverse factors (scenery, road conditions, facility availability, travel time) into a unified evaluation framework using weight coefficients and cost parameters. By combining these factors into a single comprehensive score, the system reduces data processing requirements while maintaining comprehensive route evaluation capability.
Data Source
AI summary
An information processing apparatus acquires a route score including a travel cost and a coefficient for each of a plurality of driving route candidates. The information processing apparatus acquires a user score including an individual rate that is a time-cost conversion rate particular to a mobile user and a weight application rate particular to the mobile user. Based on the respective route scores of the plurality of driving route candidates and the user score of the mobile user, the information processing apparatus converts the travel cost of each of the plurality of driving route candidates into a corresponding cost that is a cost obtained by reflection of the time-cost conversion rate and the weight application rate of the mobile user in the travel cost. The information processing apparatus determines a recommendation order of the plurality of driving route candidates based on the corresponding costs of the plurality of driving route candidates.