Telematics Data Prioritization for Connected Vehicle Upload Congestion
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Solution Overview
Problem
The increasing number of connected vehicles leads to network congestion and inefficient use of cloud computing resources due to the transmission of large volumes of data without effective management.
Innovation Solution
Implementing a telematics control module (TCM) with a data policy to intelligently aggregate and upload data, prioritizing uploads based on data type and vehicle state, using local edge computing to process and send data efficiently over various networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all vehicle data is uploaded in real-time to the network server, then data availability and responsiveness are improved, but network congestion and cloud computing resource consumption increase
Solution Approach 1:
The patent segments vehicle data into different prioritization levels (first level, second level, third level) based on importance and urgency. Critical safety-related data is uploaded immediately, while less urgent data is aggregated and uploaded periodically, resolving the contradiction between real-time availability and network bandwidth consumption.
Solution Approach 2:
The system implements periodic aggregation and upload of lower-priority vehicle data at scheduled intervals or when specific conditions are met (e.g., vehicle stationary, connected to Wi-Fi). This periodic action reduces continuous network traffic while maintaining data availability, balancing reliability with resource conservation.
2Loss of energy
If data aggregation and processing is performed at the vehicle before upload, then network bandwidth and cloud resources are conserved, but data processing time and computational requirements at the vehicle increase
Solution Approach 1:
The system performs preliminary classification and prioritization of data at the vehicle level before upload. By pre-categorizing data into prioritization levels and identifying upload conditions in advance, the system reduces the computational burden during actual upload while minimizing network energy consumption, effectively balancing processing time with energy savings.
3Reliability
If critical data is prioritized for immediate upload, then data reliability and emergency response are improved, but network resource allocation complexity increases
Solution Approach 1:
The patent applies local quality by assigning different prioritization levels and upload policies to different types of vehicle data based on their specific characteristics and importance. Critical safety data receives immediate upload priority, while routine operational data is aggregated and uploaded periodically. This differentiated approach ensures critical data reliability without requiring complex centralized control, as each data type has its own predetermined upload rules.
Data Source
AI summary
Systems and methods are provided to upload data from a vehicle to a network server. Vehicle data associated with the vehicle is collected and a determination of whether the vehicle data has a higher prioritization level or a lower prioritization is made. When the vehicle data is data having the higher prioritization level, upload of the vehicle data to the network server is facilitated. When the vehicle data is data having the lower prioritization level and an emergency state of the vehicle is active, upload of the vehicle data to the network server is facilitated.