AV Shared Ride Consensus Control for Passenger Preference Conflicts
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Solution Overview
Problem
In shared ride services provided by autonomous vehicles (AVs), conflicts often arise among passengers due to differing preferences regarding environmental, social, and physical conditions, which can negatively impact the comfort and convenience of all passengers.
Innovation Solution
Implementing a consensus determination system that uses techniques such as majority voting, least common denominator, averaging, pre-matching, pre-selection, and gaming to automatically determine and update settings for shared rides based on passenger preferences, ensuring a harmonious ride experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple passengers with different preferences share the same AV, then the AV can serve more passengers and improve productivity, but conflicts arise among passengers due to differing preferences which negatively impact comfort and convenience
Solution Approach 1:
The system dynamically changes cabin parameters (temperature, lighting, music volume, seat position) based on real-time passenger preferences and consensus algorithms. This allows the AV to adapt the environment to accommodate multiple passengers with different preferences, resolving conflicts while maintaining high productivity
Solution Approach 2:
The consensus determination system continuously updates cabin settings as passengers are picked up or dropped off. The system dynamically adjusts environmental controls, entertainment options, and physical configurations based on the current composition of passengers, ensuring optimal comfort for varying group compositions
2Ease of operation
If the AV accommodates all individual passenger preferences, then passenger comfort is improved, but the system complexity increases due to need to manage multiple conflicting settings
Solution Approach 1:
The consensus determination system acts as an intermediary between passengers with conflicting preferences. It automatically processes preference data, applies consensus algorithms, and determines optimal cabin settings without requiring direct passenger negotiation or complex manual adjustments, thereby simplifying the overall system operation
Solution Approach 2:
The system automatically manages preference conflicts through automated consensus determination and dynamic adjustment of cabin parameters. This self-service approach eliminates the need for complex manual intervention or passenger coordination, reducing operational complexity while maintaining high passenger comfort
Data Source
AI summary
A method of managing a condition of a shared ride provided using an autonomous vehicle (AV) is described and includes determining individual preferences for the condition expressed by passengers participating in the shared ride; determining a consensus preference for the condition based on the individual preferences; and applying the consensus preference for the condition for at least a portion of the shared ride, wherein the applying the consensus preference for the condition comprises managing settings of the AV, including settings of a cabin of the AV.