Dynamic Route Guidance Using Real-Time User Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current navigation systems for autonomous vehicles do not account for real-time cognitive and somatic information from users, which can affect the safety and efficiency of the navigation experience.
Innovation Solution
A system that utilizes sensors to collect environmental and physiometric data from users, which is then processed by an optimization engine to dynamically modify the navigation route in real-time based on user states, including cognitive, affective, and somatic factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time cognitive and somatic data collection is implemented, then navigation safety and efficiency are improved, but system complexity increases
Solution Approach 1:
The system segments data collection by using separate sensor groups for different routes and processes cognitive, affective, and somatic data independently. This modular approach allows comprehensive monitoring while maintaining manageable system complexity through organized data handling.
Solution Approach 2:
The patent introduces an optimization engine as an intermediary component that processes sensor data and generates route modifications. This intermediary layer manages the complexity by centralizing data processing logic and providing a systematic interface between data collection and navigation control.
2Measurement precision
If multiple sensor groups are used to collect environmental data, then route optimization accuracy is improved, but device complexity increases
Solution Approach 1:
The system divides sensor collection into distinct groups, with each group monitoring specific routes. This segmentation allows precise environmental data collection for route comparison while organizing the sensor infrastructure to reduce overall system complexity.
Solution Approach 2:
Multiple sensor groups perform universal environmental monitoring functions across different routes. Each sensor group can independently collect data for its designated route, allowing the system to achieve comprehensive coverage through standardized, multi-functional sensor units.
3Adaptability or versatility
If dynamic route modification is performed during traversal, then user needs adaptation is improved, but navigation time increases
Solution Approach 1:
The system implements dynamic route modification by continuously monitoring user cognitive, affective, and somatic states during traversal and adjusting the route in real-time. This dynamic adaptation allows the navigation system to respond to changing user needs while maintaining efficient route optimization through continuous data processing.
Solution Approach 2:
The optimization engine uses feedback from real-time sensor data to determine route modifications. By continuously monitoring user states and environmental conditions, the system receives feedback that triggers selective route changes only when necessary, balancing adaptability with navigation efficiency.
Data Source
AI summary
In an embodiment of the present invention, background data of a first user in a group of one or more users is received. Environmental data associated with a first route is received from a first group of one or more sensors. Environmental data associated with a second route is received from a second group of one or more sensors. It is determined whether to modify the first route into the second route based on the background data and the environmental data associated with the first route and the environmental data associated with the second route, and the determination occurs while the group of one or more users is traversing the first route.