Sensor-Driven Command Queue for Personalized Driving Safety
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing transportation safety solutions fail to adapt adequately to the specific driving styles and habits of users, and do not effectively utilize data collected from transportation devices, leading to inadequate safety measures.
Innovation Solution
An apparatus and method that utilizes sensor data to generate a command queue with predefined factors and a safety score, displayed through a graphical user interface, allowing for dynamic updates based on user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing transportation safety solutions are implemented, then basic safety monitoring is provided, but they fail to adapt to individual user driving styles and habits
Solution Approach 1:
The system dynamically adapts safety parameters and command queues based on real-time sensor data and individual user driving patterns. The safety score and command priorities are continuously adjusted to match the user's specific driving style while maintaining safety standards, resolving the contradiction between adaptability and reliability.
Solution Approach 2:
The system changes safety parameters such as speed limits, following distances, and alert thresholds based on individual user profiles and real-time conditions. By dynamically modifying these parameters while maintaining safety boundaries, the system achieves both personalization and safety effectiveness.
2Loss of information
If sensor data from transportation devices is collected, then more information is available for safety analysis, but data utilization is insufficient in existing solutions
Solution Approach 1:
The system implements comprehensive feedback loops where sensor data from multiple sources (vehicle sensors, user interactions, environmental sensors) is continuously analyzed and fed back to adjust safety commands and alerts. This maximizes information utilization while managing complexity through structured feedback processing.
Solution Approach 2:
The system uses a unified data processing framework that handles multiple sensor types and data sources through a common architecture. This multi-functional approach efficiently utilizes diverse sensor information without proportionally increasing system complexity, as the same processing pipeline handles various data types.
3Reliability
If a command queue with multiple predefined factors is implemented, then comprehensive safety coverage is achieved, but the interface complexity increases
Solution Approach 1:
The command queue is segmented into priority levels and categories, allowing the system to manage multiple safety factors systematically. High-priority safety commands are presented first, while lower-priority items can be deferred or bundled, maintaining compliance without overwhelming the user with interface complexity.
Solution Approach 2:
The system provides feedback to users about safety command completion and current safety status, helping users understand the purpose and priority of each command. This feedback mechanism simplifies user interaction by making the system state transparent and reducing cognitive load.
Data Source
AI summary
An apparatus and method for determining a command queue as a function of sensor data of a transportation device. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive dynamic telemetry data from the at least a sensor of the transportation device, generate a plurality of predefined factors as a function of a user profile, generate an assessment model configured to analyze the dynamic telemetry data, wherein analyzing the dynamic telemetry data comprises comparing the dynamic telemetry data to the plurality of predefined factors and calculating a safety score based on a comparison of the dynamic telemetry data to the plurality of predefined factors, display, using a downstream device, a command queue comprising one or more of the plurality of predefined factors as a function of the safety score.


