Feasibility Platform for Conditional Driving Guidance
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Solution Overview
Problem
Current navigation systems lack the ability to inform drivers about the safety and legality of guidance information based on a vehicle's current position, direction, speed, and driver behavior, which can lead to dangerous or illegal maneuvers.
Innovation Solution
A system that processes contextual data from vehicles to determine feasibility information for maneuvers, presenting guidance information through user interface elements based on safety and legal criteria, using sensors like GPS, accelerometers, and criteria databases to assess safety and compliance with regulations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If navigation systems provide real-time guidance information to drivers, then navigation convenience and directionality are improved, but driver safety and legal compliance deteriorate when guidance leads to dangerous or illegal maneuvers
Solution Approach 1:
The system continuously monitors vehicle state data (position, speed, direction) and driver behavior, then provides feedback to the navigation system to adjust guidance information. This feedback loop enables the system to modify guidance based on real-time safety assessments, resolving the contradiction between providing convenient navigation and ensuring driver safety.
Solution Approach 2:
The guidance information is made dynamic rather than static, allowing it to change based on real-time vehicle state and safety conditions. The system can modify guidance instructions dynamically according to current driving context, enabling the system to maintain navigation convenience while adapting to safety requirements.
2Measurement precision
If navigation systems provide detailed guidance information, then navigation precision is improved, but the complexity of assessing safety and legality increases
Solution Approach 1:
The system introduces an intermediary safety assessment module that mediates between the navigation guidance generation and the driver. This intermediary layer processes vehicle state data and driver behavior to determine feasibility information, simplifying the overall complexity by separating the guidance generation from the safety assessment functions.
Solution Approach 2:
The safety assessment function is segmented into distinct components: vehicle state monitoring, driver behavior analysis, and feasibility determination. This segmentation allows each component to handle specific aspects of safety assessment independently, reducing the overall complexity while maintaining comprehensive coverage.
3Reliability
If the system monitors driver behavior and vehicle state continuously, then safety and legal compliance are improved, but energy consumption and processing requirements increase
Solution Approach 1:
The system applies partial monitoring and assessment actions based on the current driving context and risk level. Rather than continuously performing all safety assessments at full intensity, the system adjusts the level of monitoring and processing based on real-time conditions, reducing energy consumption while maintaining adequate safety coverage.
Data Source
AI summary
An approach is provided for presenting guidance information to a driver of a vehicle in terms of safety and legality based on the vehicle's current position, direction, and speed and/or the driver's current behavior. A feasibility platform processes and/or facilitates a processing of contextual data associated with at least one vehicle to determine feasibility information associated with performing at least one maneuver using the vehicle. The feasibility platform also determines one or more user interface elements for presenting guidance information for the at least one maneuver based, at least in part, on the feasibility information.