Fleet Management Data Screening for Dangerous Driving Detection
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Solution Overview
Problem
As the number of vehicles in a fleet increases, the amount of data generated by each vehicle leads to network congestion, increased data upload costs, and excessive server computing resource consumption, necessitating a more efficient data management system.
Innovation Solution
Implementing an on-board computer in each vehicle to screen and transmit only objective driving data to a server, reducing the data volume and combining environmental factors for enhanced detection of dangerous driving behaviors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all driving data from each vehicle is collected and uploaded to the server, then complete data for fleet management is obtained, but network communication resources are overwhelmed and server computing resources are excessively consumed
Solution Approach 1:
The patent extracts and transmits only the essential and critical driving data from each vehicle to the server, rather than uploading all collected data. This selective extraction reduces network and server resource consumption while maintaining the reliability needed for effective fleet management.
Solution Approach 2:
The patent applies different data transmission strategies to different vehicles and different types of data based on local conditions and requirements. Critical safety-related data is prioritized for transmission, while less important data is filtered or aggregated, optimizing resource usage while ensuring management reliability.
2Loss of information
If data from all vehicles in the fleet is transmitted to the server, then comprehensive fleet analysis is achieved, but network congestion occurs and data upload costs increase
Solution Approach 1:
The system extracts only the most relevant and critical driving data from each vehicle for transmission to the server. This selective data extraction maintains comprehensive fleet management information while significantly reducing the total data transmission volume, thereby avoiding network congestion and reducing upload costs.
Solution Approach 2:
The patent transmits a partial set of data that is sufficient for effective fleet management rather than all available data. This partial action approach ensures that the server receives enough information to perform comprehensive analysis without being overwhelmed by excessive data volumes.
3Measurement precision
If raw driving data from all vehicles is processed by the server, then accurate dangerous driving behavior detection is achieved, but server computing resources are excessively consumed
Solution Approach 1:
The patent performs preliminary processing and filtering of driving data at the vehicle level before transmission to the server. This preliminary action includes identifying and extracting only the critical data points relevant to dangerous driving behavior detection, thereby reducing server computing resource consumption while maintaining detection accuracy.
Solution Approach 2:
The system extracts and transmits only the critical data elements necessary for accurate dangerous driving behavior detection, rather than processing all raw driving data on the server. This selective extraction maintains measurement precision while significantly reducing server computing resource consumption.
Data Source
AI summary
A fleet management method for managing a plurality vehicles of a fleet includes: receiving objective driving data from an on-board computer of a vehicle of the fleet; detecting whether the vehicle of the fleet exists a dangerous driving behavior in accordance with the objective driving data to generate a detection result; and determining a management strategy of the vehicle of the fleet in accordance with the detection result. A fleet management system and a server are also provided.