Transport Coordination System Using Location-Based UE Grouping
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Solution Overview
Problem
Traditional methods for peer-to-peer ride-sharing lack efficiency in coordinating transport, relying on manual requests and lacking geographical and user profile-based matching.
Innovation Solution
A computer-implemented method that connects user equipment (UEs) to coordinate transport requests by sending location requests, determining closest UEs based on location and user profiles, and facilitating journey requests and acceptances, with features like GPS tracking and navigational assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual transport coordination methods are used, then users can arrange transport through direct contact, but the coordination efficiency is low and lacks automated matching
Solution Approach 1:
A server acts as an intermediary between transport requestors and providers. The server receives location requests from multiple UEs, determines groups of UEs based on location data, and facilitates journey requests. This automated intermediary system resolves the contradiction by significantly improving coordination efficiency through algorithmic matching while managing system complexity through centralized server-side processing.
Solution Approach 2:
The system performs preliminary actions by sending location request messages to multiple UEs before a specific journey request is made. The server proactively gathers location information and determines groups of UEs in advance, so when a journey request is received, the matching process is already prepared. This preliminary data collection and grouping improves coordination efficiency without proportionally increasing system complexity.
2Measurement precision
If peer-to-peer ride-sharing without geographical matching is used, then user connections can be established, but the matching accuracy and relevance are poor
Solution Approach 1:
The system applies local quality by determining a second group of UEs as a subset of the first group based on location response messages. This creates a localized, geographically-relevant subset of potential transport providers near the requestor. By focusing matching on locally-relevant UEs rather than all connected users, the system improves matching accuracy while reducing coordination time through targeted searching.
Solution Approach 2:
The server changes parameters by processing location response messages to determine spatial relationships and group UEs based on their locations relative to the requestor. This parameter-based grouping (changing from general connection lists to location-specific groups) improves matching accuracy by ensuring geographical relevance while reducing coordination time through efficient spatial filtering.
3Ease of operation
If separate navigation applications are used for transport coordination, then navigation functionality is provided, but the overall system usability is reduced due to multiple apps
Solution Approach 1:
The system merges transport coordination and navigation functionalities into a single integrated application. The server sends journey request messages that include location information, and the application provides navigation features within the same interface used for coordinating transport. This consolidation improves ease of operation by allowing users to complete the entire transport arrangement process in one app while managing device complexity through unified architecture.
Solution Approach 2:
The transport coordination application achieves universality by performing multiple functions: sending and receiving location requests, determining UE groups, facilitating journey requests, and providing navigation capabilities. This multi-functional design improves ease of operation by eliminating the need for separate navigation apps while managing complexity through a single versatile platform that handles both coordination and navigation tasks.
Data Source
AI summary
A computer-implemented method of connecting user equipments, i.e. UEs, to coordinate a transport request is disclosed. The method comprises sending a location request message to a plurality of UEs, receiving location response messages from each of one or more UEs of the plurality of UEs, receiving a requested destination message from a first UE, determining a first group of UEs, determining a second group of UEs based upon the location response messages, sending an indicator associated with each UE of the second group of UEs to the first UE, receiving an indicator associated with a second UE of the second group of UEs from the first UE, sending a journey request message to the second UE, receiving an acceptance indication response message from the second UE.