Mobile Sensor Driving Evaluation via Networked Baseline Comparison
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Solution Overview
Problem
There is a growing need for a system to evaluate and improve the driving abilities of service providers in transportation services, as existing methods lack objective and efficient means to assess and enhance driving skills, particularly in ensuring safe and comfortable rides.
Innovation Solution
A networked system that utilizes mobile device sensors to remotely evaluate driving abilities by comparing sensor data from drivers with a baseline model developed from aggregated data, providing feedback and recommending routes for improvement, while ensuring driver privacy through informed consent and data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver evaluation systems are implemented to assess driving ability, then driving safety and service quality improve, but system complexity and data processing requirements increase
Solution Approach 1:
The patent uses mobile devices as intermediary components between the driver and the evaluation system. The mobile device collects sensor data locally and transmits it to remote servers for processing, eliminating the need for complex in-vehicle evaluation hardware. This intermediary approach simplifies the overall system architecture while maintaining comprehensive evaluation capabilities through the use of existing mobile device sensors.
2Measurement precision
If sensor data from mobile devices is collected to evaluate driving ability, then measurement precision improves, but driver privacy concerns increase
Solution Approach 1:
The patent extracts and processes only the specific sensor data elements necessary for driving evaluation (acceleration, braking, steering patterns) while excluding unrelated personal information. The system processes data in an anonymized form and removes identifiable information before storage and analysis, thereby maintaining measurement precision for driving assessment while minimizing privacy intrusion by extracting only the essential evaluation metrics.
Solution Approach 2:
The system implements feedback mechanisms that provide drivers with information about their driving patterns and areas for improvement. This transparent feedback loop allows drivers to understand how their data is being used constructively for skill development rather than punitive purposes, reducing privacy concerns by demonstrating beneficial usage of collected information.
3Measurement precision
If comprehensive sensor data collection is performed to improve evaluation accuracy, then driving skill assessment quality improves, but data processing time and energy consumption increase
Solution Approach 1:
The patent implements selective data collection that gathers comprehensive sensor information only during critical driving events or evaluation periods, rather than continuously. The system processes data in batches or triggers processing only when specific thresholds are exceeded, reducing overall energy consumption while maintaining evaluation accuracy by capturing all necessary data points during key moments in the driving cycle.
Data Source
AI summary
A network computer system determines a driving ability of a driver using sensor data that is obtained from a mobile computing device of a driver. In some examples, the network computer system determines the driving ability by comparing the sensor data obtained from the mobile computing device of the driver with a set of sensor values that are based at least in part on sensor data obtained from one or more other drivers over a same or similar route.