Mobile Device Trip Correlation for Redundant Telematics Reduction
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Solution Overview
Problem
Existing telematics applications on mobile devices consume excessive battery power and network resources due to continuous data collection and processing, especially when multiple devices are in the same vehicle, leading to inefficiencies and unnecessary data redundancy.
Innovation Solution
A method to correlate mobile devices within a common vehicle by broadcasting signals indicating a trip, allowing one device to lead in data collection while others reduce or cease data collection, thereby optimizing battery usage and network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple mobile devices continuously collect and process telematics data in the same vehicle, then data coverage and measurement precision are improved, but battery consumption and network resource usage increase significantly
Solution Approach 1:
The patent combines telematics data collection functions into a single designated device (leader device) within each vehicle, while other devices (follower devices) cease or reduce data collection. This merging approach maintains comprehensive data coverage through the leader device while eliminating redundant data collection from follower devices, thereby resolving the contradiction between data accuracy and battery consumption.
Solution Approach 2:
The patent segments the vehicle's telematics data collection system into leader devices and follower devices. The leader device performs full data collection and processing duties, while follower devices transition to reduced or ceased data collection modes. This segmentation allows the system to maintain measurement precision through the leader device while reducing overall energy consumption by distributing functional responsibilities.
2Loss of information
If multiple mobile devices continuously transmit telematics data, then data completeness is improved, but network bandwidth consumption and data redundancy increase
Solution Approach 1:
The patent merges the data transmission function for the entire vehicle into a single leader device. The leader device consolidates telematics data from all devices in the vehicle and transmits it centrally to the server. This approach ensures complete data representation while eliminating redundant network transmissions from follower devices, thereby reducing network bandwidth consumption without sacrificing data completeness.
Solution Approach 2:
The leader device creates a comprehensive copy of the vehicle's telematics data state by receiving data from follower devices locally, then transmits this consolidated copy to the server. This copying mechanism ensures data completeness is maintained at the server level while avoiding the inefficiency of multiple simultaneous transmissions from each device.
3Reliability
If all mobile devices in a vehicle collect telematics data, then data redundancy provides backup coverage, but computation resources and storage requirements increase
Solution Approach 1:
The patent merges the primary data processing and storage functions into the leader device, which maintains the full telematics data set for the vehicle. Follower devices reduce their computation and storage responsibilities by ceasing or reducing local data collection. This merging approach maintains reliability through the leader device's comprehensive data retention while reducing the computational burden on individual follower devices.
Solution Approach 2:
The leader device acts as an intermediary between follower devices and the remote server. Follower devices transmit their data to the leader device locally, which then manages the consolidated data set. This intermediary role ensures data backup coverage is maintained at the leader device level while reducing the computation and storage requirements for follower devices, as they no longer need to maintain complete data sets independently.
Data Source
AI summary
Techniques for determining which mobile computing devices are traveling together in the same vehicle during one or more trips are disclosed. An example method includes determining, based on data received from one or more first sensors associated with a first mobile computing device, that the first mobile computing device is on a trip in a vehicle, broadcasting, by the first mobile computing device, a signal indicating that the first mobile computing device is on the trip in the vehicle, receiving, by at least one second mobile computing device, the signal being broadcasted from the first mobile computing device, determining that the second mobile computing device is in the same vehicle as the first mobile computing device, and in response to the determination, causing the second mobile computing device to cease collection of data from one or more second sensors associated with the second mobile computing device.