Mood-Aware Route Planning for Autonomous Vehicle Travel
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Solution Overview
Problem
Existing technologies do not effectively address the challenge of maximizing individual experiences in autonomous vehicles by improving mood, which is affected by various stressors in modern life.
Innovation Solution
A method and apparatus for determining a route that improves an individual's mood by assessing their current mood, receiving a destination input, and calculating a route through road segments that are likely to enhance the individual's mood.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If autonomous vehicles are adopted to provide basic transportation functionality, then vehicle collisions are reduced and traffic congestion is alleviated, but individual experiences and mood improvement are not maximized
Solution Approach 1:
The autonomous vehicle system performs multiple functions: basic transportation (collision avoidance, traffic flow management) and personalized mood optimization. The route determination system integrates both safety considerations and individual preferences by analyzing user data, mood states, and environmental factors to provide comprehensive service that addresses both reliability and adaptability requirements
Solution Approach 2:
The route determination is divided into multiple independent components: safety route calculation, mood assessment module, user preference analysis, and environmental factor evaluation. Each component operates independently and contributes to the final route determination, allowing the system to maintain safety functionality while adding personalized experience optimization
2Loss of time
If traditional route determination methods are used focusing only on efficiency, then travel time is minimized, but individual mood and experience are not considered
Solution Approach 1:
The route determination system dynamically adjusts routes based on real-time mood assessment and changing user preferences. Instead of static efficient routes, the system continuously evaluates mood data and environmental factors to optimize routes for both time efficiency and mood improvement, adapting to individual needs during the journey
Solution Approach 2:
The system changes the optimization parameters from purely time-based to include mood-related parameters. By incorporating mood assessment data and user preferences into the route calculation, the system transforms the route determination problem from a single-parameter (time) optimization to a multi-parameter optimization that balances efficiency with individual well-being
Data Source
AI summary
Systems and methods for determining a route for mood improvement are provided. For example, a method of determining a route for mood improvement includes determining a mood of an individual. The method also includes receiving a destination as an input. The method also includes determining a route from a current location of the individual to the destination via a plurality of road segments for improving the mood of the individual.


