Vehicle Virtual Assistant for Stop Data Utilization
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Solution Overview
Problem
Conventional vehicles lack the capability to effectively track and utilize data associated with vehicle stops, such as duration, location, and reason, which limits their ability to provide useful insights or optimize routes based on stop patterns.
Innovation Solution
A vehicle virtual assistance system that includes processors, memory modules, input, and output devices to detect vehicle stops, request and record the reason for stops, and analyze patterns to suggest future routes based on stored data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional vehicles track vehicle stop data (duration, location, reason), then the ability to provide useful insights and optimize routes is improved, but the system complexity and data storage requirements increase
Solution Approach 1:
The virtual assistant system performs multiple functions: it detects vehicle stops, stores data, analyzes patterns, provides information to the driver, and optimizes routes. By consolidating these functions into a single multi-functional system rather than separate dedicated systems, the patent reduces overall complexity while improving data utilization.
Solution Approach 2:
The system automatically detects stops, stores data, and analyzes patterns without requiring manual intervention. The virtual assistant autonomously manages the entire data collection and analysis process, reducing the complexity of manual tracking while maximizing information utility.
2Reliability
If the virtual assistant requests reason for every long stop, then the completeness of stop data is improved, but the interaction time and driver burden increase
Solution Approach 1:
The system pre-identifies stops that exceed the threshold duration and proactively requests reasons only for those specific stops rather than all stops. This selective approach ensures data completeness for relevant stops while minimizing unnecessary driver interactions.
Solution Approach 2:
The system uses a configurable threshold parameter to determine which stops require reason collection. By changing this parameter, the system can balance between data completeness and driver burden, collecting detailed information only when stops exceed the specified duration threshold.
Data Source
AI summary
A virtual assistance system for a vehicle is provided. The virtual assistance system includes one or more processors, one or more memory modules communicatively coupled to the one or more processors, an input device communicatively coupled to the one or more processors, an output device communicatively coupled to the one or more processors, and machine readable instructions stored in the one or more memory modules. The virtual assistance system detects a duration of a vehicle stop. When the duration of the stop is greater than a predetermined threshold, the system requests a reason for the stop, receives the reason for the stop, determines a location, date, and time of the stop, and stores a record comprising data associated with the stop.