Vehicle Crash Severity Detection for Faster Emergency Dispatch
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for assessing motor vehicle accident severity are inaccurate, inefficient, and lack the ability to promptly determine the closest emergency responders, leading to potential delays in medical intervention.
Innovation Solution
A system that utilizes sensors and machine learning to determine accident severity and locate the closest emergency responders, transmitting real-time notifications with severity ratings and locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human responders use visual inspection and witness statements to assess accident severity, then the method can provide valuable information, but it suffers from human error, bias, variability in judgment, and time consumption
Solution Approach 1:
The patent replaces the mechanical human judgment process with an automated electronic system that collects sensor data from the vehicle (acceleration, impact force, airbag deployment) and uses algorithms to objectively determine accident severity. This substitution eliminates human error, bias, and variability while providing consistent, accurate assessments in real-time.
Solution Approach 2:
The vehicle's own sensors and onboard systems are used to automatically assess accident severity without requiring external human evaluation. The system self-evaluates by processing data from its own sensors (accelerometers, impact sensors, airbag status) and automatically determines the severity rating, eliminating the need for human responders to perform initial assessments.
2Reliability
If human responders manually assess accident severity, then they can provide initial information, but the process lacks consistency and reliability
Solution Approach 1:
The patent creates a universal assessment system that can be implemented across all vehicles using standard sensors and communication protocols. The same algorithm and criteria are applied universally to all accidents, ensuring consistent and reliable severity assessments regardless of location, responder, or vehicle type. This multi-functional system handles data collection, processing, and emergency response coordination.
Solution Approach 2:
The system transforms subjective human judgment into objective quantitative parameters by measuring specific physical quantities (acceleration in g-forces, impact force, deployment timing) and comparing them against predefined thresholds. This parameter-based approach ensures reliable, consistent assessments that are not influenced by human variability.
3Productivity
If traditional methods are used to determine accident severity, then the process can be simple, but it lacks the ability to quickly identify and dispatch the closest emergency responders
Solution Approach 1:
The system automatically determines vehicle location using GPS or other positioning systems and identifies the closest available emergency responders before human responders arrive. This preliminary action of pre-calculating optimal response routes and notifying the nearest responders ensures that help is dispatched immediately, maximizing response efficiency and minimizing delay.
Solution Approach 2:
The system provides real-time feedback to emergency services centers about accident severity, location, and recommended response priorities. This feedback loop enables centralized coordination where the closest responders are notified and dispatched based on automated assessment data, ensuring that emergency resources are optimally allocated and deployed.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A system includes memory hardware configured to store instructions and processor hardware configured to execute the instructions. The instructions include, in response to a vehicle being in an accident, receiving, from a set of sensors, information associated with the vehicle. The instructions include determining a severity rating of the accident based on at least some of the information. The instructions include determining a location of the vehicle based on at least some of information. The instructions include determining a set of emergency responders located closest to the vehicle. The instructions include transmitting a notification to the set of emergency responders. The notification includes at least the severity rating of the accident and the location of the vehicle.