Dynamic Wait Time Optimization for Ride-Hailing Cancellations
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Solution Overview
Problem
Conventional transportation matching systems are inefficient and inflexible, leading to unnecessary cancellations, wasted resources, and poor user experiences due to static wait times for transportation providers, and can be exploited by fraudulent providers.
Innovation Solution
A wait time optimization system that uses machine learning and algorithmic optimization to generate customized wait times for transportation providers based on real-time and historical features, such as pickup probabilities, to optimize transportation match efficiency and reduce unnecessary cancellations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a static wait time period is used for transportation providers, then the system is simple to implement, but it causes unnecessary cancellations and wastes system resources when requestors are nearby and ready
Solution Approach 1:
The patent applies dynamics by transitioning from a static wait time period to a dynamic wait time period that automatically adjusts based on real-time conditions. The system monitors requestor proximity and readiness status, extending the wait time when requestors are nearby and ready, while allowing earlier cancellation when requestors are distant or unlikely to arrive. This dynamic adjustment resolves the contradiction by maintaining system simplicity while significantly improving transportation matching efficiency and reducing unnecessary cancellations.
2Ease of operation
If a static wait time period is used for transportation providers, then the system is easy to operate, but it leads to fraudulent cancellation fee collection without providing transportation services
Solution Approach 1:
The patent applies feedback by implementing a monitoring system that continuously tracks provider location, requestor location, and requestor movement status. The system uses this feedback to determine whether the provider is properly positioned to fulfill the transportation request or if the requestor is attempting to fraudulently collect cancellation fees. The wait time extension is triggered only when feedback indicates the requestor is actually nearby and ready, preventing fraudulent cancellations while maintaining ease of operation through automated monitoring.
3Device complexity
If a static wait time period is used for transportation providers, then the system requires minimal processing, but it causes a backlog of transportation requests and higher cancellation rates
Solution Approach 1:
The patent applies parameter changes by dynamically modifying the wait time parameter based on real-time conditions such as requestor proximity, readiness status, and movement patterns. Instead of using a fixed wait time, the system adjusts the wait time parameter to extend when requestors are nearby and ready, or to cancel earlier when requestors are distant. This parameter adjustment resolves the contradiction by reducing the backlog of transportation requests and lowering cancellation rates without requiring excessive system processing complexity.
Data Source
AI summary
The present application discloses an improved wait time optimization system, and corresponding methods and computer-readable media. According to disclosed embodiments, the wait time optimization system generates a customized wait time period for a provider computing device that has arrived at a pickup location associated with a matched transportation request. Upon the expiration of the customized wait time period, the wait time optimization system selectively enables a cancellation option for the provider computing device that enables a user of the provider computing device to cancel the transportation request, thereby releasing the provider computing device for a new transportation request match.