Ride Matching by Typical Route Compatibility and Detour Ranking
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Solution Overview
Problem
Existing ride sharing systems often connect drivers and riders based solely on proximity, which may not be an efficient measure of their compatibility, leading to suboptimal matching and inefficiencies.
Innovation Solution
A system that associates drivers with typical routes and matches them with riders based on route compatibility, time compatibility, and other metrics, providing a ranked list of drivers for ride offers and allowing drivers to make informed decisions based on additional time and distance estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drivers are matched with riders based solely on proximity, then the matching process is simple and fast, but the efficiency and compatibility of the connection is suboptimal
Solution Approach 1:
The patent changes the matching parameters from simple proximity-based metrics to multi-dimensional compatibility metrics including route compatibility, time compatibility, and driver preferences. This transforms the matching system from a simple distance calculation to a comprehensive evaluation framework that considers typical routes, detour distances, time windows, and driver rider preferences, thereby improving matching efficiency without excessive complexity
Solution Approach 2:
The system performs preliminary actions by pre-calculating and storing typical routes for drivers, along with their associated metrics such as typical departure/arrival times and compatibility scores. This pre-processing enables faster real-time matching decisions without requiring complex calculations during the actual matching moment, thus improving productivity while managing system complexity
2Ease of operation
If drivers are matched based on proximity only, then the system is easy to operate, but the connection efficiency is not optimized
Solution Approach 1:
The system implements self-service by automatically calculating route compatibility, time compatibility, and generating ranked lists of compatible drivers without requiring manual intervention. The automated matching process considers multiple factors including typical routes, detour distances, and time windows, improving connection efficiency while maintaining ease of operation through automation rather than manual complexity
Solution Approach 2:
The system incorporates feedback mechanisms by providing drivers with information about ride requests including pickup/dropoff locations, estimated detour distances, and time compatibility. This feedback enables drivers to make informed decisions about accepting requests, optimizing connection efficiency while keeping the interface simple and easy to operate
3Reliability
If the system provides detailed route compatibility and time compatibility information, then drivers can make informed decisions, but the information processing complexity increases
Solution Approach 1:
The patent segments the compatibility evaluation into distinct components: route compatibility (based on typical routes and detour distances), time compatibility (based on time windows and schedules), and driver preferences. This segmentation allows the system to process and present information in organized, manageable categories, improving driver decision accuracy while managing information processing complexity through structured presentation
Solution Approach 2:
The system transforms complex route and time data into simplified compatibility metrics and ranked lists that are easy for drivers to understand. By converting detailed geographical and temporal information into compatibility scores and ranked presentations, the system improves decision accuracy without overwhelming drivers with excessive raw data, effectively managing information processing complexity
Data Source
AI summary
A system for casual driver ride sharing includes an interface and processor. The interface is to receive a request for a ride from a user, wherein the request includes GPS information for the user. The processor is to determine compatibility between the typical route information and the request for the ride; determine a ranked list based at least in part on the compatibility; and provide a ride offer to a driver of the one or more casual drivers based at least in part on the ranked list.