Mobile Sensor Accident Detection With Contextual Driving Data
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Solution Overview
Problem
Existing systems for tracking driving behavior and reporting trip data associated with vehicle incidents and insurance claims are inadequate, requiring improved methods and systems for collecting and reporting specific driving behavior data.
Innovation Solution
A method and system using a mobile communication device equipped with sensors, memory, and a processor to collect and analyze driving data, including speed, acceleration, GPS data, and map information, to detect vehicle accidents and transmit relevant data to a server for claims processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external devices are integrated with vehicles to track driving behavior, then driving data collection capability is improved, but device complexity and installation requirements increase
Solution Approach 1:
The mobile device performs self-service by using its own built-in sensors (accelerometer, GPS, gyroscope) to collect driving data without requiring external vehicle-integrated devices. The device autonomously detects driving events, processes sensor data, and generates reports, eliminating the need for complex external installation while maintaining measurement precision.
2Productivity
If traditional claims reporting methods are used, then simplicity of reporting is maintained, but claims processing time and fraud detection capability are insufficient
Solution Approach 1:
The system performs preliminary action by automatically collecting, analyzing, and preserving driving data and accident contextual information in real-time during the trip. When an accident occurs, the data is already processed and ready for immediate submission to the server, eliminating the need for manual reporting and enabling faster claims processing while improving fraud detection through objective sensor evidence.
3Measurement precision
If manual accident reporting is used, then user effort is minimized, but accuracy and completeness of accident information are insufficient
Solution Approach 1:
The system implements feedback by continuously monitoring sensor data (accelerometer, GPS, gyroscope) during the trip and automatically comparing it against predefined accident detection thresholds. When an accident is detected, the system provides immediate feedback by generating a detailed report with objective sensor evidence, location data, and trip information, eliminating reliance on manual user reporting while maintaining ease of operation through automated submission.
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
The system enables faster claims processing, improved fraud detection, and prevention by providing critical accident contextual information to claims adjusters, reducing the time and complexity associated with traditional claims reporting.
Implementation Method 1
a global positioning system (GPS) receiver to collect location data
Implementation Method 2
an accelerometer to collect acceleration data
Implementation Method 3
a gyroscope to collect orientation data
Data Source
AI summary
A system for reporting accident data includes: a mobile device having a plurality of sensors; a memory; and a processor coupled to the memory. The processor is configured to perform operations including: operating the plurality of sensors to collect driving data; receiving the driving data collected over a plurality of time intervals from at least one of the plurality of sensors in the mobile device of a user during a trip in a vehicle, assigning the driving data to the trip; receiving input indicating the trip is associated with an accident, wherein the input includes additional data associated with the accident; transmitting the driving data assigned to the trip associated with the accident; and transmitting the additional data associated with the accident.