Vehicle Parameter Translation System for Shared Mobility
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Solution Overview
Problem
Users of shared vehicles face inefficiencies in adjusting settings such as seat positions, climate control, and radio stations across different vehicle types, leading to a time-consuming and unfamiliar experience.
Innovation Solution
A system with a memory, transceiver, and processing module that stores and translates user-specific vehicle parameters from a cloud-based network or mobile device, allowing for seamless adjustments based on user preferences and recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually adjust vehicle settings for each shared vehicle, then vehicle parameters can be customized, but user time and effort increase significantly
Solution Approach 1:
The system stores user preference profiles in advance in the cloud database. When a user accesses a vehicle, the system automatically retrieves and applies the pre-stored preferences without requiring real-time manual adjustment, thus resolving the contradiction between customization and time consumption
Solution Approach 2:
The system enables automatic self-adjustment of vehicle parameters by retrieving stored user profiles and applying them autonomously. The vehicle settings automatically adapt to user preferences without human intervention, eliminating manual adjustment time while maintaining full customization
2Adaptability or versatility
If users adjust settings for each different vehicle type, then vehicle-specific parameters can be optimized, but user experience consistency deteriorates
Solution Approach 1:
The system creates a universal user profile that works across multiple vehicle types and platforms. The cloud-based storage and translation service enable the same user preferences to be applied consistently across different vehicle makes and models, maintaining experience stability while adapting to vehicle-specific parameters
Solution Approach 2:
The system translates user preferences between different vehicle parameter systems. By converting between different vehicle types' parameter spaces while maintaining the essence of user preferences, the system achieves both vehicle-specific optimization and cross-vehicle experience consistency
3Stability of the object's composition
If a system translates parameters across different vehicle types, then user experience consistency improves, but system complexity increases
Solution Approach 1:
The system introduces a cloud-based translation service as an intermediary between users and vehicles. This intermediary handles the complex parameter translation logic centrally, allowing the vehicle itself to remain relatively simple while achieving sophisticated cross-vehicle preference translation through the cloud mediator
Data Source
AI summary
A system for setting parameters within a first vehicle for a first user of the first vehicle is provided and includes a memory, transceiver, and a processing module. The memory stores normalized parameters, which are specific to the first user. Each of the normalized parameters is a parameter of the vehicle. The transceiver receives the normalized parameters from a mobile device of the first user, a server in a cloud-based network, or a portable memory device. The processing module: determines whether the first user is authorized for parameter translation services; if the first user is authorized for parameter translation services, translates the normalized parameters to resultant parameters; generates parameter recommendations based on the resultant parameters; presents the parameter recommendations to the first user; and adjusts current parameters of the first vehicle based on the resultant parameters and a received response from the first user with regards to the parameter recommendations.