Motorcycle Platoon Tracking Control for Zigzag Formation Stability
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Solution Overview
Problem
Riders of motorcycles unaccustomed to platooning in a zigzag pattern face a significant burden due to the need to manually set tracking targets, which can disrupt the formation when using existing adaptive cruise control systems.
Innovation Solution
A driving support system that automatically sets tracking targets based on forward and rearward information, switching between different control modes to maintain appropriate vehicle distances and speeds, reducing the rider's burden by enabling automatic tracking control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual tracking target selection is used in platooning, then the rider can select the tracking target, but the burden on the rider increases and formation stability decreases
Solution Approach 1:
The system automatically selects tracking targets without rider intervention. The driving support controller monitors multiple preceding vehicles and autonomously determines which vehicle to track based on platooning formation requirements, eliminating the need for manual rider operation while maintaining formation stability.
Solution Approach 2:
The system continuously monitors the positions and distances of multiple preceding vehicles and adjusts tracking target selection based on real-time formation geometry. This feedback mechanism ensures the rider always tracks the appropriate vehicle to maintain stable zigzag platooning formation.
2Ease of operation
If automatic tracking control is implemented, then the rider burden is reduced, but the system complexity increases
Solution Approach 1:
The control system is divided into distinct functional modules: a forward information acquirer that detects preceding vehicles, a driving support controller that processes formation geometry and selects tracking targets, and an existing ACC function that executes tracking control. This segmentation manages complexity by assigning specific tasks to dedicated components.
Solution Approach 2:
The driving support controller performs multiple functions: it acquires forward information, identifies multiple preceding vehicles, calculates formation geometry, selects appropriate tracking targets, and controls the ACC function. This multi-functionality reduces overall system complexity by consolidating control logic in a single controller rather than requiring separate systems for each function.
3Adaptability or versatility
If the rider manually switches tracking targets, then the tracking can be adjusted, but the timing accuracy decreases and formation disruption increases
Solution Approach 1:
The system proactively monitors the positions of multiple preceding vehicles and automatically switches tracking targets in advance when formation geometry changes require it. This preliminary action ensures smooth transitions without rider reaction delays, maintaining formation stability during platooning maneuvers.
Data Source
AI summary
A driving support control apparatus acquires forward information regarding a state ahead of an own vehicle V3, sets a preceding vehicle as a tracking target and executes tracking control of causing the own vehicle to automatically track this tracking target. While an offset preceding vehicle V2 traveling laterally ahead of the own vehicle and a front preceding vehicle V1 traveling ahead of the offset preceding vehicle V2 and traveling at a closer position than the offset preceding vehicle V2 along a vehicle width direction are recognized, the driving support control apparatus sets the offset preceding vehicle V2 as the tracking target in a case where a distance between the two preceding vehicles V1 and V2 is greater than a predetermined distance threshold and sets the front preceding vehicle V1 as the tracking target in a case where the distance between the preceding vehicles is less than the distance threshold.