Geotemporal Destination Matching With Directional Filters
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional on-demand transportation information systems suffer from inaccuracies, inefficiencies, and inflexibilities in generating and surfacing transportation matches between provider and requester devices, often requiring significant detours and consuming excessive computing resources due to inaccurate request assignments.
Innovation Solution
A geotemporal destination system utilizing directional and arrival time filters to match transportation requests with provider devices based on a threshold deviation angle and target arrival time, adapting filter parameters to provider behavior, preferences, and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional on-demand transportation systems assign requests to provider devices without directional filtering, then more transportation requests can be matched with providers, but provider devices must take significant detours from their target destinations, reducing accuracy and efficiency
Solution Approach 1:
The system changes the parameter of request filtering by introducing directional filters that evaluate the angular deviation between the provider's current trajectory and the request location. By dynamically adjusting filtering parameters based on provider movement direction and target destination, the system achieves more accurate request assignments that maintain provider efficiency while increasing match volume.
2Adaptability or versatility
If conventional systems assign transportation requests without considering provider target destinations, then request assignment flexibility is high, but computing resources are excessively consumed due to inaccurate matches and subsequent cancelations
Solution Approach 1:
The system performs preliminary filtering of transportation requests based on provider target destinations and current trajectories before final assignment. By pre-evaluating requests against directional criteria and eliminating incompatible matches early in the process, the system reduces computing resource consumption while maintaining assignment flexibility for compatible requests.
3Ease of operation
If conventional systems match providers with requests without directional constraints, then ease of operation is improved, but the system generates harmful detours and cancelations
Solution Approach 1:
The system applies local quality filtering by evaluating each request's spatial relationship with the provider's current location and target destination. Requests are assigned based on their specific angular deviation from the provider's trajectory, allowing simple operation for compatible requests while automatically excluding requests that would cause harmful detours or cancelations.
Data Source
AI summary
This disclosure describes a geotemporal destination system that filters and identifies transportation requests based on a directional filter and/or an arrival time filter. In particular, the disclosed systems can determine a threshold deviation angle for a directional filter based on a provider device location, a target destination, and a time of day. In addition, the disclosed systems can utilize an arrival time filter to identify transportation requests. For example, the disclosed systems can surface transportation requests to provide to a provider device based on applying a directional filter and/or an arrival time filter.