Vehicle Cargo Configuration Control for User Mobility Needs
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Solution Overview
Problem
Existing vehicle selection methods do not adequately consider the ease of entry and exit, as well as cargo utilization needs of diverse users within a family or group, particularly those with mobility issues or unique requirements, leading to suboptimal vehicle utilization and user experience.
Innovation Solution
A cargo utilization control system that integrates vehicle and mobile device data using GPS, cameras, and biometric sensors to predict user needs and automate vehicle configurations, recommending suitable vehicles and optimizing cargo space usage based on user identity, location, and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If vehicle profile is increased to ease entry and exit for users with mobility issues, then ease of operation is improved, but vehicle aerodynamics and fuel efficiency deteriorate
Solution Approach 1:
The vehicle system dynamically adjusts ride height and cargo configuration based on real-time detection of user needs and cargo requirements, allowing the vehicle to transition between low-profile (fuel-efficient) and high-profile (easy access) states as needed
2Adaptability or versatility
If vehicle cargo space is increased to accommodate diverse cargo needs, then adaptability is improved, but vehicle complexity increases
Solution Approach 1:
The vehicle system automatically detects user identity, predicts cargo needs based on historical data and current context, and self-configures cargo space and access points without requiring manual user intervention or complex configuration inputs
Solution Approach 2:
The system continuously monitors user behavior, cargo patterns, and vehicle usage through sensors and mobile device data, using this feedback to learn and improve cargo space optimization strategies over time
3Ease of operation
If vehicle configuration is customized for individual user needs, then user experience is improved, but system complexity increases
Solution Approach 1:
The vehicle system automatically detects user identity through mobile device integration and biometric sensors, retrieves user preferences and historical data, and self-configures vehicle settings without requiring manual user input or complex configuration interfaces
Solution Approach 2:
The system uses a unified mobile device platform that serves multiple functions including user authentication, preference storage, real-time communication with the vehicle, and data synchronization across the vehicle fleet
Data Source
AI summary
A vehicle cargo utilization control system includes a processor disposed in a vehicle controller and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive identity information associated with a vehicle user from a mobile device and vehicle sensory devices, and determine identity of the vehicle user. The system receives receive anthropometry information, and entry and exit data associated with the vehicle user that can indicate mobility limitations or special uses of the vehicle cargo hold that have been observed and recorded by the system. The processor may determine a vehicle recommendation based on the identity of the vehicle user and the anthropometry information, and cause a vehicle configuration change that modifies a vehicle system based on the unique user identity, mobility limitations, and predicted use of the vehicle.


