Taxi Demand Prediction Display for Route Optimization
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Solution Overview
Problem
In the taxi business, existing systems fail to effectively present prediction results that improve the pick-up ratio, as they lack detailed insights into passenger movement directions and distances within specific areas with predicted demand.
Innovation Solution
An information processing apparatus and method that divides a business area into multiple areas, displaying the predicted movement direction and distance of passengers in areas with high pick-up demand, allowing drivers to optimize their routes and increase pick-up efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the business area is divided into multiple areas and detailed movement information is displayed, then the pick-up ratio is improved, but the device complexity increases
Solution Approach 1:
The business area is divided into multiple discrete areas, allowing the system to manage and display demand information in segmented units. Each area can be independently analyzed and presented with specific movement direction and distance data, making the complex information manageable and actionable for drivers.
Solution Approach 2:
The system provides customized information for each specific area rather than uniform global data. By calculating and displaying movement directions and distances specific to each area's passenger demand characteristics, the system delivers locally optimized guidance that improves pick-up ratios without requiring complete system redesign.
2Ease of operation
If detailed movement direction and distance information is provided for each area, then route optimization is improved, but the loss of information increases
Solution Approach 1:
The system extracts only the essential movement information (direction and distance) needed for route optimization from the complete passenger demand data. By selecting and displaying only the critical parameters rather than all available data, the system reduces information loss while providing sufficient detail for effective route planning.
Solution Approach 2:
The system pre-calculates movement directions and distances for each area before the driver makes routing decisions. This preliminary processing of information allows drivers to receive ready-to-use routing guidance without requiring them to process raw data themselves, reducing their information processing burden while maintaining optimization quality.
Data Source
AI summary
The present technique relates to an information processing apparatus, an information processing method, and a program which enable a prediction result that contributes toward improving a pick-up ratio to be presented. The information processing apparatus includes: a display control portion configured to divide a business area of a business vehicle into a plurality of areas and cause a display portion to display, as a prediction result, a movement direction and a movement distance of passengers in an attention area being the area of attention among the plurality of areas for which a pick-up demand has been predicted per area. For example, the present technique can be applied to an information processing apparatus or the like for displaying a prediction result of a pick-up demand of a taxi.