Ride-share Matching Privacy Protection via Distance Exclusion
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Solution Overview
Problem
Ride-share matching systems risk revealing private location information of users when sharing departure and destination points, potentially exposing home, office, or hospital locations to other riders.
Innovation Solution
A ride-share support system that calculates distances between getting-on and getting-off points to prevent matching of riders whose points are within a predetermined distance of each other's private areas, thereby avoiding the disclosure of private location information, and includes a vehicle position notification prohibition to prevent location sharing when the vehicle is within a private area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If departure place, destination, getting-on point and getting-off point information are disclosed for ride-share matching, then ride-share matching accuracy is improved, but location information of private areas becomes known to other ride-sharers
Solution Approach 1:
The patent extracts and removes private area location information from the disclosed route data. The system identifies private areas (homes, offices, hospitals) and excludes their specific location details from being shared with other ride-sharers, while still maintaining the functionality of route matching by using generalized or masked location representations.
Solution Approach 2:
The patent introduces an intermediary processing layer that mediates between the need for location information in matching and the need for privacy protection. This intermediary system processes route information to remove or mask private area locations before disclosure, acting as a buffer that allows matching to occur without direct exposure of sensitive location data.
2Productivity
If route information is disclosed for ride-share matching, then matching efficiency is improved, but privacy protection is worsened
Solution Approach 1:
The system extracts private area location information from the complete route data and separates it from the matchable route characteristics. This allows the matching process to operate efficiently on non-sensitive route attributes while the extracted private location information is protected and not disclosed.
Solution Approach 2:
The patent applies different quality levels of information disclosure to different parts of the route data. Sensitive portions (private area locations) receive high-level protection with information removed or masked, while non-sensitive portions (general route path, timing) are disclosed to enable matching, creating a localized differential privacy approach.
Data Source
AI summary
A ride-share support system includes a getting-on/getting-off point information acquiring unit configured to acquire first getting-on/getting-off point information including a getting-on point or a getting-off point of a first ride-share applicant and second getting-on/getting-off point information including a getting-on point or a getting-off point of a second ride-share applicant, a getting-on/getting-off point distance calculating unit configured to calculate a distance between getting-on/getting-off points which is a distance between the getting-on point or the getting-off point of the first ride-share applicant and the getting-on point or the getting-off point of the second ride-share applicant, and a ride-share matching unit configured to determine ride-sharers of a vehicle by matching a plurality of ride-share applicants while excluding combination of the first ride-share applicant and the second ride-share applicant in a case where the distance between getting-on/getting-off points is equal to or less than a predetermined distance.


