Multi-Vehicle Follow-Up Control via Deviation Grouping
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Solution Overview
Problem
Existing follow-up run control systems for vehicles only consider the running state of one preceding vehicle, neglecting the movements of other peripheral vehicles, which can lead to inadequate control in multi-vehicle scenarios.
Innovation Solution
A follow-up run control device that acquires and considers the deviations of multiple peripheral vehicles through inter-vehicle communication, calculating a follow-up control amount based on the relative positional and temporal differentiation information of these vehicles to ensure smooth control in the presence of multiple vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If follow-up run control is performed based on only one selected preceding vehicle, then the control system remains simple, but the running states of other peripheral vehicles are not considered leading to inadequate control
Solution Approach 1:
The patent segments the information processing by dividing peripheral vehicles into multiple groups based on their positional relationships. The deviation acquiring means acquires deviation information for each group separately, and the control amount calculating means processes control amounts for each group independently before synthesizing them. This segmentation allows the system to handle multiple vehicles without requiring a completely new control architecture, thus improving reliability while managing complexity.
Solution Approach 2:
The patent merges control amounts from multiple peripheral vehicle groups by superimposing them to generate the final follow-up control amount. Instead of selecting only one preceding vehicle, the system combines control inputs from multiple vehicles in different spatial groups, thereby considering the running states of all peripheral vehicles while maintaining a unified control output that improves overall control accuracy.
2Adaptability or versatility
If control is based on multiple peripheral vehicles, then the running states of all vehicles are considered, but the control calculation becomes complex
Solution Approach 1:
The patent applies segmentation by dividing peripheral vehicles into multiple groups based on spatial relationships. Each group is processed independently to calculate control amounts, which are then merged. This approach enables the system to adapt to multiple vehicles while keeping calculations manageable by breaking them into smaller, group-specific tasks rather than processing all vehicles simultaneously as a single complex calculation.
Solution Approach 2:
The patent implements partial action by processing control calculations for each vehicle group separately and then merging the results. Rather than attempting to calculate a single comprehensive control amount considering all vehicles at once, the system performs multiple partial calculations for different groups, which reduces the complexity of individual calculations while achieving comprehensive multi-vehicle adaptability through the merging of these partial results.
Data Source
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AI summary
A follow-up run control device controlling a running state of a vehicle in a state where peripheral vehicles running before or behind the vehicle exist includes: deviation acquiring means for acquiring information regarding a deviation between a relative positional relation and a target relative positional relation of the vehicle and the peripheral vehicles with respect to preceding vehicles running just before; and follow-up control amount calculating means for calculating a follow-up control amount of the vehicle to control the running state of the vehicle on the basis of the information regarding the deviations of a plurality of vehicles acquired by the deviation acquiring means.