Dynamic Indication Configuration for Driver-Passenger Matching
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Solution Overview
Problem
Existing systems for configuring indication devices in transportation services face inefficiencies due to the need to manage and store large numbers of unique identification information for hundreds of thousands of users, leading to reduced recognition and unnecessary complexity, especially when multiple vehicles are expected to arrive at the same location within a short time frame.
Innovation Solution
A method and system that determine the time difference between the arrival of vehicles at a geographical area and adjust the indication information accordingly, ensuring that vehicles arriving at similar times share attributes to avoid confusion and those arriving at different times have distinct attributes, thereby optimizing resource usage and user recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hundreds of thousands of different kinds of identification information are assigned to users, then each user can be uniquely identified, but the server and communication resources are wasted and the recognition degree is reduced
Solution Approach 1:
The patent merges the identification function into the geographical area context rather than assigning unique identifiers to each user. Vehicles waiting in the same geographical area share the same indication information, combining multiple identification needs into a single contextual indicator that reduces system complexity while maintaining reliable user-vehicle matching.
Solution Approach 2:
The patent applies local quality by making indication information specific to geographical areas rather than universally unique. Each geographical area has its own indication characteristics, and vehicles within that area share these local indicators, allowing users to identify vehicles based on their location context rather than requiring global unique identifiers for all users.
2Adaptability or versatility
If complex patterns are used as identification information, then more users can be accommodated, but the recognition degree decreases when the indication device size is limited
Solution Approach 1:
The patent transitions from using complex two-dimensional patterns to using simple indication information combined with geographical context as a third dimension for identification. Instead of increasing pattern complexity, the system adds the geographical area dimension, allowing users to identify vehicles through location-based indicators rather than complex visual patterns.
Solution Approach 2:
The patent uses simple, easily changeable indication information rather than complex, persistent patterns. The indication information can be quickly updated and replaced based on geographical area and time, making the system more adaptable while keeping the recognition task simple for users.
3Reliability
If unique identification information is assigned to each user, then user-specific matching is enabled, but the number of indication devices and communication resources increases unnecessarily
Solution Approach 1:
The patent makes indication information universal within a geographical area, allowing the same indication to serve multiple users and vehicles simultaneously. Instead of unique identifiers for each user-vehicle pair, a single geographical area indication serves the identification function for all transactions within that area, reducing the quantity of indication information types while maintaining reliable matching.
4Ease of manufacture
If indication information is configured without considering arrival time differences, then configuration is simple, but vehicles arriving at similar times may have identical indication information causing user confusion
Solution Approach 1:
The patent makes indication information dynamic by adjusting it based on vehicle arrival time differences. When vehicles are expected to arrive at similar times, the system dynamically assigns different indication information to prevent confusion, while maintaining simple configuration procedures through automated time-based differentiation.
Data Source
AI summary
Embodiments of the disclosure provide a method for configuring indication information for transportation services. The method includes receiving a first transportation request which includes a first passenger pick-up point located in a preset geographical area, and the first transportation request matches a first vehicle. The method also includes receiving a second transportation request which includes a second passenger pick-up point located in the preset geographical area, and the second transportation request matches a second vehicle. The method further includes generating first indication information for the first transportation request and second indication information for the second transportation request based on a time difference between a first estimated time for the first vehicle to arrive in the preset geographical area and a second estimated time for the second vehicle to arrive in the preset geographical area.