Connected Vehicle Geofence Intelligence for Household Replacement Prediction
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Solution Overview
Problem
Vehicle manufacturers face challenges in determining when a household is likely to purchase or replace a vehicle, as existing solutions lack practical methods to gather intelligence on consumer intentions.
Innovation Solution
A computer-implemented method using sensor data from vehicles to identify a home geofence space and associate additional vehicles within that space with the household, employing vision sensors, transceivers for vehicle-to-vehicle communication, and geolocation techniques to determine vehicle ownership and condition, triggering targeted marketing when replacement is anticipated.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is collected and analyzed to identify household vehicles and predict replacement needs, then marketing intelligence accuracy is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex task of vehicle replacement prediction into multiple independent components: geofence space determination, sensor data collection, vehicle identification, condition assessment, and replacement timing prediction. Each component processes specific data types independently, reducing overall system complexity while maintaining prediction accuracy.
Solution Approach 2:
The patent introduces intermediate data structures and processing layers between raw sensor data and final predictions. Sensor data is first aggregated and pre-processed, then passed through multiple analysis stages with intermediate results stored and refined, allowing complex predictions to be built from simpler intermediate findings.
2Loss of information
If multiple sensors are deployed on vehicles to gather comprehensive data, then intelligence information quality is improved, but energy consumption and device complexity increase
Solution Approach 1:
The system uses multi-functional sensors that serve multiple purposes. For example, cameras capture both vehicle condition images and household environment data, while GPS tracks both location for geofencing and movement patterns for usage analysis. This reduces the total number of sensors needed while maintaining information completeness.
Solution Approach 2:
The system collects more data than strictly necessary for basic vehicle tracking, gathering additional information about household environments, vehicle conditions, and usage patterns. This excessive data collection approach ensures no relevant information is missed, with processing algorithms filtering out redundant data later.
3Measurement precision
If continuous monitoring of vehicle location and sensor data is performed, then vehicle replacement prediction accuracy is improved, but data processing time and computational resources increase
Solution Approach 1:
Instead of continuous real-time processing, the system uses periodic batch processing of sensor data. Data is collected continuously but processed at scheduled intervals, allowing computational resources to be utilized efficiently while maintaining accurate predictions through regular analysis cycles.
Solution Approach 2:
The system performs preliminary data filtering, aggregation, and preprocessing in the background before formal analysis. Common patterns and anomalies are pre-identified, and data is pre-sorted by relevance, reducing the computational burden during critical prediction moments and speeding up overall processing.
Data Source
AI summary
Vehicle manufacturers may leverage one vehicle of a household to gain intelligence to determine whether a new vehicle may be purchased or an existing vehicle may be replaced for the household. Techniques include identifying a home geofence space that identifies the household at the household address for the vehicle. The sensor data from the vehicle can be used to identify other vehicles within the home geofence space. When other vehicles are identified that match appropriate criteria, the other vehicles may be associated with the household. Further observation of the other vehicles and the behavior of the members of the household can be used to identify when an existing vehicle of the household may be replaced and/or a new vehicle may be purchased. Upon determining that a new or replacement vehicle may be purchased, marketing materials may be provided to the household to aid the household with purchasing the new vehicle.