Passenger Vehicle Digital Twin Interface for User Satisfaction Control
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Solution Overview
Problem
Current digital twin systems for passenger vehicles are limited in their ability to enhance customer experience, with primitive interfaces that do not offer configuration options based on user profiles, and lack advanced features for managing vehicle states and user satisfaction.
Innovation Solution
A system that includes a digital twin interface for representing vehicle operating states to users, utilizing neural networks to detect and optimize user satisfaction by adjusting vehicle parameters such as route, audio, speed, and proximity, based on real-time data from sensors and edge intelligence systems with 5G connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If digital twin systems use primitive interfaces without configuration options, then device complexity is reduced, but user experience and adaptability deteriorate
Solution Approach 1:
The digital twin interface is designed to be dynamically configurable based on user profiles. The system automatically adjusts interface parameters, displayed information, and interaction modes according to the logged-in user's preferences and role, transforming a static primitive interface into a dynamic adaptive one without requiring complex manual configuration
Solution Approach 2:
The system implements automatic user profile detection and interface customization. When a user logs in, the digital twin system automatically retrieves their profile information and configures the interface accordingly, eliminating the need for users to manually configure complex settings while still providing personalized experiences
2Ease of operation
If digital twin systems implement comprehensive user profiling and customization, then user experience improves, but device complexity and data processing requirements increase
Solution Approach 1:
The patent introduces an identity management system as an intermediary layer between the user authentication mechanism and the digital twin interface. This mediator handles user profile retrieval, validation, and interface configuration automatically, simplifying the overall system architecture by centralizing complexity in a dedicated management layer rather than distributing it throughout the entire system
3Reliability
If real-time sensor data is continuously processed to optimize user satisfaction, then user satisfaction improves, but energy consumption and processing requirements increase
Solution Approach 1:
The neural network implementation processes sensor data selectively rather than continuously analyzing all possible parameters. The system focuses on detecting specific user satisfaction indicators through targeted sensor monitoring, processing only the most relevant data streams needed for satisfaction detection while ignoring redundant information, thus reducing overall energy consumption
Solution Approach 2:
The patent replaces traditional rule-based satisfaction detection mechanisms with neural network-based intelligent detection. This substitution enables more efficient data processing by learning patterns from sensor data and making intelligent decisions about what requires attention, reducing computational overhead compared to exhaustive analysis of all sensor inputs
Data Source
AI summary
Transportation systems can represent a set of operating states of a vehicle to a user of the vehicle and generally include a system for representing a set of operating states of a vehicle to a user of the vehicle. The system includes a portion of the vehicle having a vehicle operating state; a digital twin system receiving vehicle parameter data from one or more inputs to determine the vehicle operating state; and an interface for the digital twin system to present the vehicle operating state to the user of the vehicle.