Platooning Formation Pattern Recommendation for Mixed Vehicle Fleets
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Solution Overview
Problem
Existing platooning technologies primarily focus on specific vehicle types, such as commercial vehicles, and do not effectively accommodate a diverse range of vehicles, leading to a potential loss of incentive and decreased usability when general vehicles like passenger cars participate.
Innovation Solution
A platooning formation pattern proposal method, device, and system that collects information, calculates index scores based on predetermined criteria, and proposes a recommendation formation pattern to maintain incentive and improve usability by considering various vehicle types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If platooning is performed only with specific vehicle types (e.g., commercial vehicles), then the platooning system can be simplified and managed easily, but the usability and incentive for general vehicles like passenger cars to participate decreases
Solution Approach 1:
The platooning system is designed to accommodate multiple vehicle types including commercial vehicles and passenger cars by implementing a universal formation pattern proposal mechanism that evaluates and adapts to different vehicle characteristics, thereby expanding system adaptability without requiring separate dedicated systems for each vehicle type
Solution Approach 2:
The system dynamically adjusts platooning parameters such as formation patterns, inter-vehicle distances, and speeds based on the specific characteristics of participating vehicles (e.g., vehicle length, acceleration capabilities, braking distances), allowing the same platooning infrastructure to efficiently manage diverse vehicle types through parameter optimization
2Measurement precision
If multiple indices are calculated to evaluate formation patterns, then the accuracy and suitability of recommended platooning patterns improve, but the computational complexity and processing time increase
Solution Approach 1:
The evaluation process is divided into multiple independent index calculations (e.g., safety index, fuel efficiency index, comfort index, time efficiency index), each assessing a specific aspect of formation pattern quality. This segmentation allows for modular computation, improved accuracy through comprehensive evaluation, and easier system maintenance by treating each index as an independent evaluation module
Solution Approach 2:
The system calculates multiple indices beyond the minimum required for basic evaluation, including comprehensive factors such as safety, fuel efficiency, comfort, and time efficiency. This excessive action ensures thorough evaluation of formation patterns, providing more accurate and reliable recommendations despite increased computational requirements
Data Source
AI summary
By a platooning formation pattern proposal method, a platooning formation pattern proposal device, or a platooning formation pattern proposal system, a formation pattern of platooning is proposed when vehicles perform the platooning, information related to the formation pattern is collected, information in a predetermined index is extracted from the collected information, a score of the index is calculated, a recommendation formation pattern is proposed, a person having provided a predetermined value is granted a predetermined right.