Autonomous Vehicle Routing for Phobia Mitigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Individuals with phobias related to vehicle travel face challenges when using autonomous or ridesharing services, as they have limited control over routing, leading to negative experiences and reluctance to use these services due to unmitigated phobic triggers, and there is a need to balance personal data privacy with customized ride solutions.
Innovation Solution
A system comprising a profile database with user phobia profiles that categorizes phobias into groups based on trigger conditions and countermeasures, allowing a vehicle controller to dynamically adjust itineraries to mitigate phobic interactions, ensuring user privacy and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system collects detailed personal phobia data to customize rides, then the ability to mitigate phobic triggers is improved, but user privacy is compromised
Solution Approach 1:
The patent segments phobia data into standardized categories (e.g., acrophobia, claustrophobia, motion sickness) with predefined trigger conditions and countermeasures. This segmentation allows the system to collect only necessary categorical information rather than detailed personal narratives, reducing privacy intrusion while maintaining mitigation effectiveness through structured data processing.
Solution Approach 2:
The patent introduces an intermediary layer of standardized phobia profiles that act as a buffer between raw personal data and the routing system. Instead of processing detailed personal phobia descriptions, the system uses predefined profile categories as intermediaries, enabling effective customization while minimizing direct exposure of sensitive personal information.
2Reliability
If the system adjusts routes to avoid phobic triggers, then user comfort and safety are improved, but trip time and routing efficiency may worsen
Solution Approach 1:
The patent applies preliminary action by pre-identifying phobia-triggering locations and countermeasure strategies during the route planning phase. Rather than reacting to phobic triggers during the ride, the system proactively selects routes that avoid known triggers or incorporates predetermined countermeasures (such as scheduled breaks or specific driving behaviors) before the phobic reaction occurs, balancing safety with efficient routing.
Solution Approach 2:
The patent changes routing parameters dynamically based on phobia profiles. Instead of using fixed optimal routes, the system adjusts route parameters (such as avoiding certain geographic zones, modifying speed profiles, or changing stop patterns) to accommodate phobic conditions while seeking to minimize the impact on overall trip efficiency through optimized parameter selection.
3Productivity
If autonomous vehicles operate without human drivers, then operational efficiency is improved, but control over mitigating phobic triggers is reduced
Solution Approach 1:
The patent enables the autonomous vehicle system to serve itself by automatically accessing user phobia profiles, evaluating potential triggers along planned routes, and selecting appropriate countermeasures without human intervention. The system performs self-customization based on stored user preferences, maintaining operational efficiency while providing personalized comfort through automated decision-making algorithms that incorporate phobia mitigation strategies.
Data Source
AI summary
A ride-share system of other vehicle system employs a profile database having a plurality of user phobia profiles for potential customers. Each of the user phobia profiles identifies one or more respective phobia groups pertaining to a respective user, wherein each phobia group associates a plurality of driving-related phobias which share at least one trigger condition or at least one countermeasure. A vehicle controller is coupled to the profile database which determines a default itinerary for a trip to a destination specified by one of the users. The vehicle controller evaluates the default itinerary for potential interaction with a respective phobia group identified by the phobia profile of the one of the users. The vehicle controller implements an alternate itinerary that mitigates the potential interaction.