Fleet Vehicle Control for Shared Equipment Settings by Driving Pattern
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Solution Overview
Problem
Existing vehicle control systems fail to quickly apply common settings related to vehicle equipment to multiple vehicles with similar traveling characteristics or operating in specific areas.
Innovation Solution
A vehicle control system that includes a data collection unit, an analysis unit, and a control unit, which collects data on traveling characteristics, analyzes common characteristics among vehicles in specific areas or vehicle types, and applies common settings to these vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle settings are optimized based on individual user driving characteristics only, then personalized optimization is achieved, but common settings cannot be quickly applied to multiple vehicles with similar characteristics
Solution Approach 1:
The patent segments the fleet management process into individual vehicle analysis units, where each vehicle's settings can be independently optimized based on its specific characteristics while still being part of a larger group. This allows parallel processing of multiple vehicles and enables both personalized optimization and efficient batch application of common settings across vehicles with similar characteristics.
2Measurement precision
If data is collected and analyzed for each vehicle individually, then accurate personalized settings are achieved, but the process becomes time-consuming and inefficient for fleet-wide application
Solution Approach 1:
The patent merges the optimization processes by identifying common characteristics among multiple vehicles and applying unified setting parameters to groups of vehicles with similar profiles. This combining approach maintains measurement precision for each vehicle while dramatically reducing the total time required compared to processing every vehicle completely independently.
Solution Approach 2:
The system performs preliminary analysis to identify vehicles with similar characteristics and pre-determines common setting parameters that can be applied to groups. This preliminary grouping and pre-calculation of common settings reduces the overall processing time while maintaining accurate, personalized optimization for each vehicle based on its specific characteristics.
Data Source
AI summary
The vehicle control system according to the present disclosure includes: a data collection unit that collects data related to travel characteristics of each of a plurality of vehicles; an analysis unit that analyzes travel characteristics common to vehicles belonging to at least one of a predetermined area and a predetermined vehicle type among the plurality of vehicles using the collected data; and a control unit that causes each of the vehicles belonging to at least one of the predetermined area and the predetermined vehicle type among the plurality of vehicles to apply common setting contents related to the vehicle equipment based on an analysis result by the analysis unit.


