Vehicle Usage Data Transmission for Dynamic Leasing Rates
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Solution Overview
Problem
Current methods for determining vehicle-related data, such as leasing rates and insurance premiums, are based on fixed criteria like vehicle price or engine power, and do not account for actual usage data, leading to inefficiencies in cost allocation and maintenance scheduling.
Innovation Solution
A system where vehicles transmit mileage data to a central electronic device via wireless communication, allowing for the determination of variable leasing rates or insurance premiums based on usage data, with options for time-interval-based or event-triggered data transmission, and consideration of additional factors like route type and vehicle performance metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed criteria like vehicle price or engine power are used to determine leasing rates and insurance premiums, then the determination process is simple and straightforward, but the cost allocation does not reflect actual vehicle usage leading to inefficiencies
Solution Approach 1:
The patent transforms static pricing models into dynamic ones by continuously monitoring vehicle usage data (mileage, operating hours) and adjusting leasing rates and insurance premiums in real-time. The system automatically updates charges based on actual usage patterns, enabling flexible adaptation to changing operational conditions while maintaining computational efficiency through automated data processing.
Solution Approach 2:
The system implements feedback mechanisms where usage data collected from vehicles is processed and fed back into the pricing determination system. This closed-loop approach allows the system to learn from actual vehicle performance and adjust charges accordingly, improving cost allocation efficiency while maintaining operational simplicity through automated feedback processing.
2Device complexity
If mileage data is transmitted at predefined time intervals, then data transmission is systematic and manageable, but the system cannot respond immediately to usage changes or threshold events
Solution Approach 1:
The data transmission system is segmented into multiple trigger types: time-interval-based transmission for systematic data collection and event-triggered transmission for immediate response to significant usage changes. This segmentation allows the system to handle different transmission scenarios appropriately, maintaining manageability while enhancing adaptability to changing conditions.
Solution Approach 2:
The transmission system dynamically switches between time-interval-based and event-triggered modes based on operational needs. When vehicles operate normally, time-interval transmission maintains systematic data collection. When threshold events occur (e.g., excessive mileage, abnormal operating conditions), the system automatically transitions to event-triggered transmission for immediate response, thereby enhancing adaptability without overwhelming system complexity.
3Measurement precision
If comprehensive usage data is collected and processed centrally, then accurate mileage-related data can be determined, but the system complexity and data processing requirements increase
Solution Approach 1:
The system extracts and processes only the essential usage data parameters (mileage, operating hours, fuel consumption) needed for accurate charging determination, rather than collecting all possible vehicle data. This selective extraction approach maintains measurement precision for critical parameters while reducing overall data processing complexity and system resource requirements.
Solution Approach 2:
The system employs automated data processing where the central electronic device automatically collects, validates, and processes usage data without manual intervention. Vehicles autonomously transmit their data, and the system automatically determines charges based on predefined algorithms, reducing operational complexity while maintaining accurate data processing through standardized automated procedures.
Data Source
Figure 1
AI summary
According to the invention, data regarding driving performance of vehicles (3) included in the method are transmitted to a central electronic unit (1) in a vehicle-specific fashion via communications connections (6), said data being captured or detected by units (2) inside the vehicle (3). Driving performance-related data, for example, leasing rates, are detected at least as a function of the data regarding the driving performance of the respective vehicle (3) by the central electronic unit (1).