Mobile Sensor Driving Event Detection With Graphical Scoring
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Solution Overview
Problem
Existing systems lack effective methods for tracking and analyzing driving behavior using mobile devices, failing to provide comprehensive insights into driving events and behaviors.
Innovation Solution
A system utilizing mobile devices to collect, analyze, and transform driving data, categorize events, and generate graphical displays of driving behavior, including scoring and event detection, using sensors such as accelerometers, gyroscopes, and GPS, with server-side support for data processing and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If mobile devices are used to collect driving data, then device complexity is reduced and ease of operation is improved, but measurement precision and reliability of driving behavior tracking are insufficient
Solution Approach 1:
The patent combines multiple sensor types (accelerometer, gyroscope, GPS, barometer) within a single mobile device to achieve comprehensive driving behavior tracking. This merging of sensing capabilities allows the system to maintain ease of operation while improving measurement precision through multi-sensor data fusion that compensates for individual sensor limitations
Solution Approach 2:
The patent introduces server-side processing and sophisticated algorithms as intermediaries between the mobile device sensors and the final driving behavior analysis. This intermediary layer processes raw sensor data, filters noise, and applies complex event detection logic, thereby improving measurement precision without adding complexity to the user-operated mobile device
2Loss of information
If comprehensive driving data collection is implemented, then information completeness is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the driving data collection and processing system into distinct functional modules: mobile device sensors for data collection, communication interfaces for data transmission, and server-side processing for analysis. This segmentation allows comprehensive information collection to be distributed across multiple components, preventing any single device from becoming overly complex
Solution Approach 2:
The patent transitions the complexity burden from the mobile device dimension to the server dimension by implementing cloud-based processing. The mobile device remains simple for data collection, while the server handles the complex tasks of data aggregation, analysis, and event detection, effectively moving the complexity problem to another dimension of the system architecture
3Measurement precision
If multiple sensors are integrated in mobile devices, then measurement precision is improved, but use of energy and device complexity increase
Solution Approach 1:
The patent implements periodic sampling of sensor data rather than continuous monitoring. The system collects data at strategically chosen intervals based on driving events and conditions, which maintains measurement precision for detecting important driving behaviors while significantly reducing the energy consumption compared to continuous sensor operation
Solution Approach 2:
The patent applies full sensor monitoring only when specific driving events are detected or when conditions warrant detailed analysis. During normal driving conditions, the system uses reduced monitoring modes, applying partial action that conserves energy while maintaining sufficient measurement precision for safety-critical events through selective high-resolution sampling
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
Provides detailed insights into driving behaviors, enabling users to understand and improve their driving habits through graphical displays and scoring systems, enhancing safety and awareness.
Implementation Method 1
obtain a plurality of movement measurements from a mobile device in a vehicle during a drive
Implementation Method 2
using sensors such as accelerometers, gyroscopes, and GPS
Implementation Method 3
using sensors such as accelerometers, gyroscopes, and GPS
Data Source
AI summary
Embodiments of the present invention relate to transportation systems. More particularly, embodiments relate to methods and systems of vehicle data collection by a user having a mobile device. In a particular embodiment, vehicle movement data (also termed herein “driving data” or “data”) is collected, analyzed and transformed, and combinations of collected data and transformed data are used in different ways, including, but not limited to, reporting and display of the combinations.