Vehicle Recommendation System Using Sensor Data Analysis
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Solution Overview
Problem
Current methods for determining a new vehicle to purchase are imprecise, relying on personal opinions and surveys that do not account for the driver's actual capabilities and preferences, often leading to mismatched vehicle choices.
Innovation Solution
A system and method utilizing sensors on a current vehicle to detect operation-related data, which is communicated to a remote server for analysis, recommending a new vehicle based on the driver's unique needs and preferences, including dimensions, usage patterns, and driving habits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods (surveys, opinions, test drives) are used to determine vehicle purchase, then the process is simple and accessible, but the accuracy and precision of vehicle selection is poor
Solution Approach 1:
The patent replaces conventional mechanical/survey-based vehicle selection methods with sensor-based automated detection systems. Sensors continuously collect objective data about driver behavior, vehicle operation patterns, and environmental conditions, substituting subjective surveys and brief test drives with precise, continuous mechanical measurement systems that automatically analyze driving habits and vehicle compatibility.
Solution Approach 2:
The patent introduces a computing device as an intermediary between the driver and vehicle selection decision. This intermediary processes sensor data, analyzes driving patterns, compares vehicle compatibility, and provides recommendations, serving as a mediator that translates raw sensor information into actionable vehicle selection guidance without requiring direct complex analysis by the driver or dealer.
2Measurement precision
If test drives are conducted to evaluate vehicles, then direct experience is gained, but the evaluation time is insufficient for comprehensive assessment
Solution Approach 1:
The patent performs preliminary analysis of vehicle compatibility by continuously collecting and analyzing sensor data about driver behavior and vehicle operation patterns over extended periods. This preliminary action occurs before the actual vehicle purchase decision, allowing comprehensive assessment of driving habits, vehicle performance preferences, and compatibility metrics to be established in advance, eliminating the need for extended test drive periods.
Solution Approach 2:
The patent implements continuous data collection through sensors that operate throughout vehicle operation, maintaining continuous monitoring of driving patterns, vehicle performance, and environmental conditions. This continuous useful action replaces intermittent test drives with sustained, comprehensive data gathering that accumulates precise information about driver-vehicle compatibility over time rather than during brief evaluation periods.
3Ease of operation
If drivers purchase vehicles based on current vehicle similarity, then purchasing decisions are straightforward, but driver difficulties with current vehicle operation are not addressed
Solution Approach 1:
The patent implements feedback loops where sensors continuously monitor driver behavior and vehicle operation patterns, and this information is fed back to the computing device for analysis. The system provides feedback about driver capabilities, preferences, and difficulties with specific vehicle operations, enabling informed vehicle selection that addresses operational suitability rather than merely replicating current vehicle characteristics.
Solution Approach 2:
The patent enables the vehicle selection system to serve itself by using sensor data from the current vehicle to automatically identify driver patterns and recommend suitable replacement vehicles. The system extracts driver capability information directly from operational data without requiring external surveys or assessments, allowing the vehicle to essentially evaluate its own usage patterns and guide the replacement decision based on that self-generated information.
Data Source
AI summary
Methods and systems for recommending future vehicles. The system includes one or more sensors of a current vehicle configured to detect sensor data. The system includes a vehicle transceiver of the current vehicle configured to communicate the sensor data. The system includes a remote data server configured to receive the sensor data from the current vehicle, and determine one or more vehicles to recommend to the driver of the current vehicle based on the received sensor data. The system includes a computing device coupled to the remote data server and configured to display the one or more vehicles to be recommended to the driver of the current vehicle.