Vehicle Platooning Group Organization for Inter-Vehicle Distance Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing cooperative vehicle travel technologies face challenges in maintaining appropriate inter-vehicle distances, especially on varying road surfaces, which affects the stability and safety of platooning vehicles.
Innovation Solution
Organizing vehicle groups with parameter values such as gross weight, overtaking acceleration, and braking performance within predetermined ranges, and using a command vehicle to control the inter-vehicle distance through wireless communication and feedforward control methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the inter-vehicle distance between platooning vehicles is shortened to improve transport efficiency, then the productivity increases, but the reliability decreases due to increased crush risk
Solution Approach 1:
The system performs preliminary classification of vehicles into groups based on their parameter values (gross weight, overtaking acceleration, braking performance) before platooning. This preliminary organization ensures that vehicles with similar characteristics are grouped together, enabling more aggressive and safer inter-vehicle distance control that improves productivity while maintaining reliability through matched vehicle capabilities.
Solution Approach 2:
The invention dynamically adjusts the inter-vehicle distance parameter based on road surface conditions and vehicle group characteristics. By changing this critical parameter according to actual conditions, the system optimizes the balance between productivity (shorter distances for efficiency) and reliability (longer distances for safety), resolving the technical contradiction adaptively.
2Reliability
If the inter-vehicle distance is increased to improve safety on slippery road surfaces, then the reliability increases, but the productivity decreases due to longer platoon length and reduced stability
Solution Approach 1:
The system applies different inter-vehicle distance standards to different vehicle groups based on their local characteristics (parameter values). Instead of using a uniform distance for all vehicles, each group receives customized distance control appropriate to their gross weight, acceleration, and braking capabilities, enabling safety optimization without compromising overall platoon stability.
Solution Approach 2:
The inter-vehicle distance is made dynamic rather than static, adjusting in real-time based on road surface conditions and vehicle group parameters. This dynamic adaptation allows the system to maintain reliability on slippery surfaces while preserving productivity through coordinated adjustment of all vehicles in the platoon, preventing the stability issues that arise from fixed distance increases.
3Device complexity
If uniform inter-vehicle distance control is applied to all vehicles to simplify management, then the device complexity is reduced, but the adaptability decreases for different road surface conditions
Solution Approach 1:
The system performs preliminary classification and grouping of vehicles based on their parameter values before platooning operations. This advance organization creates predefined vehicle groups with similar characteristics, allowing the control system to manage complexity through structured categorization while maintaining high adaptability to different road conditions through group-specific control parameters.
Data Source
AI summary
According to one embodiment, a transport service method comprises organizing a vehicle group of a plurality of self-driving vehicles in which a parameter value inherent to vehicles falls within a predetermined range, and controlling cooperative travel of the self-driving vehicles in the vehicle group to perform transport service of baggage, persons, animals, and the like.