Onboard Apparatus Dynamic Driver Incentive Calculation
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Solution Overview
Problem
Current ridesharing systems lack a mechanism to incentivize drivers based on their contributions, which can lead to lower participation rates.
Innovation Solution
An onboard apparatus and information processing system that evaluates a driver's contribution by acquiring and calculating points based on the driving environment, including time zone, road conditions, weather, and biological factors, and reflects these points in transportation costs and relative evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If ridesharing service is provided without driver incentive mechanisms, then service operation is simple, but driver participation willingness is low
Solution Approach 1:
The system changes the parameter of driver compensation from fixed to dynamic by calculating points based on multiple driving environment parameters (time zone, road conditions, weather, biological factors). This transforms the incentive structure to reflect actual driving contributions and conditions, thereby increasing driver participation willingness while maintaining operational simplicity through automated calculation.
2Measurement precision
If driver contribution evaluation is implemented, then driver incentive accuracy is improved, but system complexity increases
Solution Approach 1:
The onboard apparatus integrates multiple detection functions (time zone detection, road condition detection, weather detection, biological factor detection) into a single multi-functional device. This allows accurate driver contribution evaluation through comprehensive parameter collection while avoiding the complexity of multiple separate systems, as all functions are consolidated in one apparatus.
Solution Approach 2:
The system automatically collects driving environment parameters and calculates driver contribution points without requiring manual input or external intervention. The onboard apparatus self-services by detecting parameters and computing incentives, thereby achieving accurate evaluation while minimizing operational complexity for users.
3Measurement precision
If multiple driving environment parameters are collected, then incentive calculation accuracy is improved, but information processing load increases
Solution Approach 1:
The system performs preliminary detection and recording of driving environment parameters (time zone, road conditions, weather, biological factors) during the actual driving process. This preliminary action captures data in real-time, reducing the need for extensive post-processing and minimizing information processing load while maintaining accurate incentive calculation based on comprehensive parameters.
Data Source
AI summary
An onboard apparatus comprises a controller configured to execute acquisition of information regarding a driving environment on a route from a riding point of a passenger riding on a vehicle to an alighting point where the passenger alights; and calculation of points given to a driver who drives the vehicle along the route according to the information regarding the driving environment.