Adaptive GNSS Sampling for Road Usage Charge Mileage Accuracy
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Solution Overview
Problem
Existing road usage charge systems face issues such as mileage reporting inaccuracies, high costs, and privacy concerns due to reliance on OBD-II dongles and other hardware solutions.
Innovation Solution
A method and system that dynamically adjust the location sampling rate of in-vehicle resources based on vehicle speed, sampling more frequently at lower speeds to improve accuracy and reduce costs by eliminating the need for additional hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OBD-II dongles are used to collect mileage data, then vehicle status and diagnostic information can be obtained, but mileage reporting inaccuracies and high expenses occur
Solution Approach 1:
The patent extracts the mileage tracking function from external hardware (OBD-II dongles) and implements it using existing in-vehicle resources (GNSS receiver and processor already present in the vehicle's computer system). This eliminates the need for separate mileage verification hardware while maintaining tracking capability.
Solution Approach 2:
The patent makes the existing GNSS receiver serve multiple functions: it provides both location-based mileage tracking and other navigation/positioning functions. By utilizing an already-present component for dual purposes, the system avoids adding dedicated hardware while achieving accurate mileage reporting.
2Measurement precision
If fixed high sampling rate is used for GPS location tracking, then mileage accuracy is improved, but energy consumption and processing cost increase
Solution Approach 1:
The patent implements dynamic sampling rate adjustment based on vehicle speed. The processor increases sampling frequency when the vehicle is stationary or moving slowly (where accuracy is most critical) and decreases sampling rate when the vehicle is moving quickly (where lower precision has minimal impact on total mileage calculation). This adaptive approach optimizes the balance between accuracy and energy consumption.
Solution Approach 2:
The system changes the sampling rate parameter dynamically based on vehicle operating conditions. By adjusting this key parameter according to speed thresholds, the system achieves high accuracy when needed while reducing energy consumption during high-speed travel where minor positioning variations are less significant.
3Measurement precision
If snap-to-road services are used to improve location accuracy, then mileage precision is enhanced, but reliability decreases due to snapping to adjacent roads
Solution Approach 1:
Instead of relying on complex snap-to-road algorithms that may incorrectly snap to adjacent roads, the patent uses simple straight-line distance calculations between GPS points. This simpler, more reliable method accepts slightly lower theoretical precision but achieves better practical reliability by avoiding the snap-to-road error problem entirely.
4Device complexity
If internet-connected vehicles access vehicle status directly via software, then hardware costs are reduced, but recurring software costs and API fees increase
Solution Approach 1:
The patent implements self-service mileage tracking using the vehicle's own existing GNSS receiver and processor. The system autonomously collects location data, calculates distances between points, and determines mileage without requiring external API services or recurring software subscriptions. This self-contained approach eliminates ongoing operational costs while maintaining the ability to track mileage accurately.
Data Source
AI summary
A road usage charge system tracks and reports the distance travelled by a vehicle. The accuracy of the distance driven versus competing considerations such as battery drain of the mobile device doing the reporting is augmented by defining a speed threshold. When the vehicle is travelling faster than the speed threshold, location sampling is performed less frequently, over larger distance intervals. However, when the vehicle is travelling at a speed less than the speed threshold, the location sampling rate is increased such that location sampling is performed at shorter distance intervals.