Taxi Dispatch System Dynamic Redistribution via Incentive Removal Requests
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Solution Overview
Problem
Taxi dispatch systems often concentrate taxis in high-demand areas, leading to delayed requests in low-demand regions, as drivers tend to stay in busy locations, resulting in insufficient taxi availability in suburban or residential areas.
Innovation Solution
An information processing apparatus and method that detect overpopulated and sparsely-populated regions by acquiring taxi location information and send removal requests to taxis with incentives to redistribute them, balancing taxi distribution across a larger area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If taxis concentrate in high-demand areas, then service quality in busy areas is improved, but taxi availability in low-demand areas deteriorates
Solution Approach 1:
The system dynamically adjusts taxi distribution by continuously monitoring location information and sending removal requests based on real-time density calculations. Taxis are encouraged to move from overpopulated regions to sparsely-populated regions through dynamic incentive mechanisms, making the distribution adaptive rather than static
Solution Approach 2:
The system implements a feedback loop where location information is acquired, taxi density is detected in different regions, and removal requests with incentives are sent back to taxis in overpopulated areas. This closed-loop control ensures continuous optimization of taxi distribution based on actual demand patterns
2Speed
If taxis remain in high-demand areas, then immediate service in busy areas is improved, but request fulfillment time in low-demand areas increases
Solution Approach 1:
The system performs preliminary actions by proactively sending removal requests to taxis in overpopulated regions before demand arises in sparsely-populated areas. Incentives are offered in advance to encourage taxis to reposition themselves ahead of potential requests, reducing waiting time when users do request service
3Quantity of substance
If taxis are dispersed to low-demand areas, then taxi availability in suburban areas is improved, but service concentration in high-demand areas decreases
Solution Approach 1:
The system applies local quality by treating different regions differently based on their specific characteristics. Overpopulated regions receive removal requests to reduce density, while sparsely-populated regions are the target for redistribution. Each region's taxi density is managed according to its local demand characteristics rather than applying a uniform approach
Data Source
AI summary
An information processing apparatus disclosed includes a control unit configured to execute the processing of acquiring location information indicating the present locations of empty taxis, detecting an overpopulated region in which there are taxis larger in number than a predetermined upper limit based on the location information, and sending to a taxi located in the overpopulated region a removal request containing information requesting its removal to a specific region other than the overpopulated region and information about an incentive that will be given if the taxi removes to the specific region.