Vehicle Trip Correlation Through Independent Device Data
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Solution Overview
Problem
Existing systems fail to optimally correlate data from mobile platforms, such as vehicles, with data from secondary devices like smartphones, which are temporarily disposed inside these platforms.
Innovation Solution
A method and system that independently collect and correlate mobile platform data from built-in sensors and secondary device data using a processor to generate event spaces, apply preliminary limitations, perform DSP convolution and cross-correlation, and assign probabilistic matrices for accurate data association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing systems collect data from mobile platforms and secondary devices independently, then data collection flexibility is improved, but data correlation accuracy deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting and storing mobile platform data and secondary device data independently before correlation is needed. Data is pre-processed, filtered, and prepared in separate databases, allowing flexible collection methods while maintaining the ability to accurately correlate data when required through subsequent cross-correlation operations.
2Measurement precision
If complex correlation algorithms are applied to data from mobile platforms and secondary devices, then data correlation accuracy is improved, but processing time increases
Solution Approach 1:
The correlation process is segmented into distinct phases: data collection, preliminary processing, cross-correlation, and result generation. Each phase handles specific tasks independently, allowing optimization of each segment. The cross-correlation operation is performed as a separate computational step that can be optimized independently from data collection and processing operations.
Solution Approach 2:
Preliminary processing actions are performed on data before the main correlation computation. Data is pre-filtered, pre-formatted, and prepared in optimized structures, reducing the computational burden during the actual cross-correlation step and thereby decreasing overall processing time while maintaining accuracy.
3Reliability
If prior association between mobile platform and secondary device is required, then data correlation reliability is improved, but system adaptability deteriorates
Solution Approach 1:
The system performs self-service by automatically establishing associations between mobile platforms and secondary devices through cross-correlation of their data. The cross-correlation operation inherently identifies relationships and creates associations without requiring pre-configured links or manual setup, enabling the system to adapt to new device combinations automatically while maintaining reliable correlation through the mathematical cross-correlation process.
Data Source
AI summary
Methods and systems are provided for correlating mobile platform data with secondary device data. In an exemplary embodiment, mobile platform data and secondary device data are obtained. The mobile platform data pertains to a mobile platform. The secondary device data originates from a secondary device that is movably disposed within the mobile platform at certain times. The obtaining of the secondary device data is independent from the obtaining of the mobile platform data. The mobile platform data is correlated with the secondary device data, via a processor.