Mobile Acceleration Profiling for Multi-Driver Identification
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Solution Overview
Problem
Existing systems for collecting and analyzing driving data are limited, as they often rely on vehicle-based systems that may not accurately reflect a driver's behavior, especially when multiple drivers use the same vehicle or when not all vehicles are equipped with data collection capabilities.
Innovation Solution
The system utilizes acceleration sensors in mobile devices, such as smartphones, to collect and analyze acceleration data, which is then used to identify driving patterns and associate them with specific drivers. This involves statistical analysis of the acceleration data, focusing on time windows before and after stopping points during a driving trip.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle-based systems are used to collect driving data, then driving data can be collected, but the data may not accurately reflect a driver's behavior when multiple drivers use the same vehicle
Solution Approach 1:
The patent introduces mobile devices (smartphones, tablets) as intermediary carriers that hold acceleration sensors. These devices are personally owned by drivers and travel with them across different vehicles, serving as a mediator between the driver and the vehicle-based data collection system. This allows accurate attribution of driving behavior to specific drivers regardless of which vehicle they are operating.
Solution Approach 2:
The patent creates a portable copy of the acceleration sensing capability by placing sensors in mobile devices that drivers carry. Instead of relying on the vehicle's fixed sensors, each driver has their own portable sensor copy that travels with them, enabling consistent measurement of their driving patterns across multiple vehicles and locations.
2Productivity
If not all vehicles are equipped with data collection systems, then data collection coverage is limited, but equipping all vehicles increases system complexity and cost
Solution Approach 1:
The patent makes the mobile device serve multiple functions: it acts as a phone, tablet, or other computing device while simultaneously serving as a data collection platform with integrated acceleration sensors. This multi-functionality allows widespread adoption without requiring separate dedicated data collection systems in each vehicle.
Solution Approach 2:
The patent leverages the mobile device's own sensors (accelerometers already present in smartphones for various purposes) to perform driving behavior analysis. The device uses its existing capabilities to collect driving data, eliminating the need for additional specialized hardware and reducing system complexity.
3Loss of information
If acceleration data is collected continuously, then comprehensive driving behavior data is obtained, but energy consumption and data processing load increase
Solution Approach 1:
The patent segments the continuous data collection process by focusing analysis on specific time windows around stopping points (e.g., 5 seconds before and after stops). Instead of processing all continuous acceleration data, the system divides the driving timeline into relevant segments, reducing overall data processing requirements while capturing key driving behavior patterns.
Solution Approach 2:
The patent applies partial action by selectively analyzing only the portions of acceleration data that contain meaningful driving behavior information (around stopping points). Rather than processing excessive amounts of continuous data, the system focuses computational resources on the critical segments where driver behavior patterns are most evident.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for accurate identification of driving patterns and associated drivers, providing a comprehensive analysis of driving behavior that can be used for various applications, including insurance, vehicle financing, and law enforcement.
Implementation Method 1
receiving acceleration data collected by acceleration sensors at a mobile computing device
Data Source
AI summary
One or more devices in a data analysis computing system may be configured to receive and analyze acceleration data corresponding to driving data, analyze the acceleration data, and determine driving patterns and associated drivers based on the data. Acceleration data may be collected by one or more mobile devices, such as smartphones, tablet computers, and/or on-board vehicle systems. Drivers associated with driving trips may be identified based on the acceleration data collected by the mobile devices. In some cases, driving patterns may be determined based on the acceleration data before and after stopping points during driving trips, and the driving patterns may be compared to a set of previously stored driving patterns associated with various different drivers.