Vehicle App Switching for Predicted Unsafe Driving Conditions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle systems lack the ability to seamlessly transition between occupant assist applications and driving assist applications in response to predicted unsafe driving conditions, potentially compromising safety and occupant experience.
Innovation Solution
A vehicle system that includes a processor and memory, capable of determining the operation of occupant assist applications and predicting unsafe driving conditions through monitoring applications. The system ceases the occupant assist application and executes a driving assist application prior to the unsafe condition occurring, ensuring safe vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle system continuously monitors and predicts unsafe driving conditions to enhance safety, then the reliability and safety of vehicle operation is improved, but the device complexity and computational resources required increase
Solution Approach 1:
The system performs preliminary monitoring and prediction of unsafe driving conditions before they actually occur. The processor continuously analyzes sensor data, occupant behavior, and environmental factors to predict potential safety issues in advance, allowing the system to prepare and respond proactively rather than reactively to safety threats.
Solution Approach 2:
The vehicle system is divided into multiple independent functional modules including sensor modules, monitoring applications, prediction algorithms, and response execution systems. Each module operates semi-independently, processing specific aspects of safety monitoring and allowing the system to scale and adapt without requiring complete system redesign.
2Reliability
If the vehicle ceases the occupant assist application and executes the driving assist application in response to predicted unsafe conditions, then the safety and appropriateness of application operation is improved, but the loss of time for application transition increases
Solution Approach 1:
The system predicts unsafe driving conditions before they materialize, allowing it to pre-prepare for application transitions. By identifying potential safety issues in advance through continuous monitoring of sensor data and occupant behavior, the system can initiate application switching proactively, reducing the actual transition time when conditions deteriorate.
Solution Approach 2:
The system implements continuous feedback loops where the monitoring application constantly evaluates sensor data, occupant responses, and environmental conditions. This real-time feedback enables the system to dynamically adjust application execution and make rapid, informed decisions about when to switch between occupant assist and driving assist applications based on actual system state.
3Ease of operation
If the system provides enhanced occupant assistance services, then the occupant experience and comfort is improved, but the risk of distracting the driver and compromising safety increases
Solution Approach 1:
The system dynamically adjusts the level and type of occupant assistance provided based on real-time assessment of driving conditions and safety requirements. When unsafe conditions are detected or predicted, the system automatically modifies or suspends non-critical occupant services, creating a dynamic balance between comfort and safety that adapts to changing operational contexts.
Solution Approach 2:
Different occupant assistance functions are selectively enabled or disabled based on local driving conditions rather than applying a uniform level of service. The system identifies which specific assistance features are appropriate for current conditions, allowing beneficial services to continue while restricting only those that pose distraction risks in specific contexts.
Data Source
AI summary
An example operation includes one or more of identifying, via a vehicle application of a vehicle, one or more topics of interest associated with a vehicle occupant based one or more vehicle occupant behaviors detected by the vehicle, applying, via the vehicle application, one or more enhanced services to a device associated with vehicle occupant based on the one or more topics of interest and an occupant profile, and modifying, via the vehicle application, the one or more enhanced services based on the device location and changes to the one or more vehicle occupant behaviors.