Virtual Guide Agent for Vehicle Journey Planning
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Solution Overview
Problem
Existing vehicle assistance systems operate independently and lack a synergetic combination for comprehensive journey planning, failing to consider user-specific and vehicle-specific information for optimal route selection and adjustment.
Innovation Solution
A personal virtual agent system that integrates user-specific and vehicle-specific information memories with a central processing unit to select and adjust routes based on user preferences and vehicle conditions, utilizing a communication network for real-time updates and alternative route selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple assistance systems are integrated into a synergetic combination, then journey planning comprehensiveness is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple independent assistance systems (navigation, driving assistance, infotainment, vehicle monitoring) into a single integrated virtual agent system. The central processing unit consolidates functions from route calculation, driving behavior analysis, personalization, and vehicle state monitoring into one unified architecture, resolving the contradiction by achieving comprehensiveness through integration rather than through multiple separate systems.
Solution Approach 2:
The virtual agent is designed as a universal system that performs multiple functions: it calculates routes, analyzes driving behavior, provides personalized recommendations, monitors vehicle conditions, and adjusts recommendations in real-time. This multi-functional design allows the system to achieve comprehensive journey planning while maintaining a single unified system structure rather than requiring multiple specialized systems.
2Manufacturing precision
If user-specific and vehicle-specific information are integrated for route selection, then route optimization is improved, but information processing complexity increases
Solution Approach 1:
The system performs preliminary analysis of user-specific information (preferences, habits) and vehicle-specific information (technical state, capabilities) before route calculation. The central processing unit pre-processes this data to create optimized route recommendations that already account for all relevant factors, reducing the complexity of real-time decision-making while maintaining high optimization precision.
Solution Approach 2:
The system continuously monitors vehicle conditions and user responses to route recommendations, using this feedback to refine future recommendations. The central processing unit adjusts route selections based on real-time feedback from both the vehicle's technical state and user preferences, achieving precise optimization through iterative improvement rather than complex one-time processing.
Data Source
AI summary
A personal virtual agent for journey planning for a user of a vehicle, having a central processing unit, a user interface device for communication with at least one user-specific information memory, a vehicle interface device for communication with at least one vehicle-specific information memory, and a route interface device for communication with at least one information memory for routes. The central processing unit is embodied to take into consideration information from the user-specific information memory and/or information from the vehicle-specific information memory (to receive at least one route from the information memory for routes, and to take into consideration the information from the user-specific information memory and the information from the vehicle-specific information memory to select a route.