Ride Matching by Destination Purpose for Trusted Shared Transport
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Solution Overview
Problem
The inefficient use of transportation capacity results in excessive vehicles on the road, environmental pollution, and urban sprawl due to the lack of effective systems to match supply and demand for transportation services, particularly in areas where public transit is inadequate or inconvenient.
Innovation Solution
A network system that matches transportation supply and demand using telecommunications and computing technology to allocate unused vehicle capacity, providing real-time information and security features to facilitate efficient and trusted sharing of rides, acting as an extension or feeder to public transit systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a centralized ridesharing system is implemented to match transportation supply and demand, then transportation efficiency is improved, but system complexity and trust establishment become problematic
Solution Approach 1:
The patent introduces a centralized server as an intermediary that coordinates between drivers and riders without requiring direct complex interactions between them. The server handles matching, routing, and transaction coordination, simplifying the overall system architecture while improving transportation efficiency through optimized resource allocation.
Solution Approach 2:
The system implements feedback mechanisms where drivers and riders provide ratings and reviews after each transaction. This feedback loop builds trust over time through accumulated reputation data, allowing the system to self-regulate quality without requiring complex manual verification processes.
2Loss of energy
If drivers share excess transportation capacity, then resource utilization is improved, but trust and security concerns worsen
Solution Approach 1:
The system uses a rating and review mechanism where drivers and riders mutually evaluate each other after transactions. This creates a reputation system that builds trust over time, allowing resource utilization to improve while maintaining security through community-driven quality control.
Solution Approach 2:
The trust verification process is automated through the platform's rating system and identity verification features, rather than requiring manual background checks. The system serves its own trust verification needs through user-generated feedback and automated security protocols.
3Adaptability or versatility
If real-time matching systems are deployed, then transportation availability is improved, but information processing requirements increase
Solution Approach 1:
The system pre-calculates and stores routing information, transportation capacity data, and matching algorithms before real-time requests arrive. This preliminary preparation allows the system to respond quickly to real-time matching needs without processing all information from scratch during critical moments.
Solution Approach 2:
The information processing is divided into discrete modules: location tracking, capacity verification, routing calculation, and matching logic. Each segment handles specific data types independently, reducing overall information processing complexity while maintaining real-time availability.
4Extent of automation
If automated routing and capacity determination are implemented, then system automation is improved, but technical infrastructure complexity increases
Solution Approach 1:
Drivers and riders use their existing personal devices (smartphones, GPS units) that already contain the necessary processing capabilities. The system leverages these self-service computing resources rather than requiring specialized hardware infrastructure, reducing technical complexity while maintaining high automation levels.
Solution Approach 2:
The system is designed to work with multiple types of existing devices (smartphones, tablets, GPS units, computer systems) rather than requiring proprietary hardware. This universal compatibility approach reduces infrastructure complexity by leveraging already-deployed technological resources.
Data Source
AI summary
The network system triggers registration of the start of a transport journey in response to a communication of a transport user device and a transport provider device with each other, performs a continuous coordinated proximity monitoring to verify the identity of a transport user and a transport provider vehicle, and triggers registration of the end of the transport journey through communication of the transport user device and the transport provider device with each other.