Dynamic Ride Promotions for Vehicle Routing Optimization
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Solution Overview
Problem
Conventional ridesharing approaches often result in vehicles being significantly distant from origination locations, leading to increased costs and delayed ride start times, which negatively impact user experience and vehicle utilization.
Innovation Solution
Implementing an optimization system that uses an objective function to balance rider convenience and provider economics by selecting routing solutions that consider current and planned trips, applying optimization processes to adjust component values, and offering dynamic promotions to compensate for delays or inconveniences, thereby improving route efficiency and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional approaches assign vehicles based on availability at the time of request, then vehicle allocation is simplified, but vehicle distance from origination location increases and ride start time is delayed
Solution Approach 1:
The system performs preliminary actions by proactively identifying and communicating potential delays to riders before the ride begins. The delay notification system activates when predicted arrival times exceed thresholds, allowing riders to make informed decisions about alternative arrangements before the scheduled pickup time.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring vehicle locations, predicted arrival times, and route conditions. This feedback loop enables real-time adjustments to ride assignments and dynamic communication with riders about status changes, optimizing both vehicle utilization and rider experience.
2Quantity of substance
If vehicles are located far from origination locations, then vehicle availability increases, but operational cost increases and vehicle utilization decreases
Solution Approach 1:
The system applies dynamics by implementing flexible, real-time ride assignment strategies that adapt to changing conditions. Vehicles can be dynamically reassigned based on proximity to multiple potential origination points, and riders can be offered choices about alternative pickup locations or times that optimize vehicle routing and utilization.
Solution Approach 2:
The system changes parameters by adjusting pickup time windows, alternative origination locations, and vehicle assignment criteria based on real-time conditions. This flexibility allows the system to optimize vehicle utilization while maintaining service quality through dynamic parameter adjustment rather than rigid assignment rules.
3Device complexity
If rigid ride assignment is used, then assignment process is simple, but rider experience deteriorates when delays occur
Solution Approach 1:
The system applies preliminary anti-action by proactively notifying riders of potential delays before they experience negative impacts. The delay notification system predicts and communicates issues in advance, allowing riders to prepare alternative arrangements or adjust expectations, thereby preventing poor experiences rather than reacting to them after occurrence.
Solution Approach 2:
The system uses feedback to continuously monitor ride status and communicate changes to riders. When delays are predicted or occur, the system provides real-time updates and offers alternative solutions, creating a responsive assignment process that adapts to changing conditions while maintaining rider satisfaction through transparent communication.
Data Source
AI summary
Embodiments of the present disclosure provide improved techniques of a route optimization system to provide dynamic promotions to compensate for predicted time of arrival of a vehicle in response to a ride request. The promotions may be for vendors located by the pickup location in the ride request and timed to compensate for a wait time or an unexpected delay. In another embodiment, dynamic promotions may be determined and provided to incentivize customers to go to an alternate pickup location providing a more optimized route for the assigned vehicle. The more optimized route may be based on a better quality route score compared to the quality route score of the route originally determined for the original pickup location from the ride request. The promotion may be for vendors identified to be on the way to the alternate pickup location and timed to optimize efficiency and reduce any lag or wait time on the customer's behalf.