Personalized Ride-Sharing With Real-Time Driver Selection and QR Payments

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Solution Overview

Problem

Current ride-sharing platforms face issues such as unfair compensation for drivers, lack of control over driver selection for riders, unpredictable surge pricing, and inefficient payment processes, leading to driver unreliability and rider frustration.

Innovation Solution

A ride-sharing system with dedicated driver and rider applications that enable drivers to create profiles, generate QR codes for cashless payments, and a central server system for real-time matching and secure transactions, allowing riders to select drivers based on preferences and ensuring fair compensation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If ride-sharing platforms take a substantial percentage of each fare and deposit ride money in their internal accounts, then platform revenue is improved, but driver compensation is reduced

Engineering Contradiction:
Improveplatform revenueVSAvoiddriver compensation
Core Design Contradiction:
Quantity of substanceVSReliability

Solution Approach 1:

The patent introduces a third-party payment processing system that acts as an intermediary between the rider and driver. This system holds funds in escrow and releases them to the driver only after the ride is completed, eliminating the need for the platform to take a substantial cut upfront while ensuring driver compensation is reliable and timely.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If drivers are left to bear operational expenses without proper reimbursement, then platform operational simplicity is improved, but driver income is reduced

Engineering Contradiction:
Improveplatform operational simplicityVSAvoiddriver income
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The system implements an automated reimbursement mechanism that monitors ride completions and automatically reimburses drivers for operational expenses such as gas and maintenance. This feedback loop ensures drivers are compensated for their expenses without requiring complex manual processing, maintaining platform simplicity while improving driver income reliability.

Inventive Principle:
Principle #23Feedback

3Productivity

If riders have little control over driver selection, then platform matching efficiency is improved, but rider satisfaction is reduced

Engineering Contradiction:
Improveplatform matching efficiencyVSAvoidrider satisfaction
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent implements a dynamic driver selection system where riders can filter and select drivers based on real-time criteria such as rating, vehicle type, and availability. This dynamic approach allows riders to exercise control over their driver selection while the system automatically matches them with the most suitable available driver, maintaining both efficiency and satisfaction.

Inventive Principle:
Principle #15Dynamics

4Quantity of substance

If surge pricing is applied during peak hours, then platform revenue is improved, but rider frustration increases

Engineering Contradiction:
Improveplatform revenueVSAvoidrider frustration
Core Design Contradiction:
Quantity of substanceVSObject-affected harmful factors

Solution Approach 1:

The system implements advance reservation functionality that allows riders to book rides in advance during peak hours before surge pricing takes effect. This preliminary action enables riders to secure their transportation needs ahead of time, avoiding the frustration of surge pricing while still allowing the platform to generate revenue during high-demand periods.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250292346A1System and method for personalized ride-sharing with real-time driver selection and cashless payment
Publication Date: 2025.09.18 AUSTIN ANTHONY
  • US20250292346A1 patent drawing
  • US20250292346A1 patent drawing
  • US20250292346A1 patent drawing

AI summary

The present invention relates to a ride-sharing system which includes two mobile applications: a driver application and a rider application, operating in conjunction with a central server system. The driver application allows drivers to create detailed profiles including credentials, vehicle information, and payment options, and generates a scannable QR code for secure and cashless payments. The rider application enables riders to search for drivers, view profiles, select a preferred driver, book rides, and process payments using the driver's QR code. The server system comprises a driver profile database, a rider profile database, a payment module, and a location module for real-time tracking and matching of drivers and riders. The method of ride booking includes steps for profile setup, ride booking, real-time ride management, and secure payment processing, providing an efficient, safe, and personalized ride-sharing experience.