Vehicle Platoon Placement Using Historic Wireless Performance
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Solution Overview
Problem
Current methods for arranging platooning vehicles do not efficiently manage the integration of new vehicles based on their wireless performance scores, leading to suboptimal placement and potential disruptions in the platoon's aerodynamic efficiency and traffic flow.
Innovation Solution
A method that assesses a requesting vehicle's historic ADAS State-of-Health (SOH) Scores and Wireless Performance (WP) Scores to determine its suitability for joining a platoon, with scoring criteria including ADAS Instance SHO Scores, Overall Historic ADAS SOH Scores, and WP Scores, allowing for precise positioning within the platoon based on these evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If new vehicles are allowed to join the platoon without performance assessment, then the platoon size increases and road capacity improves, but the aerodynamic efficiency and traffic flow stability deteriorate due to suboptimal vehicle placement
Solution Approach 1:
The system performs preliminary assessment of wireless performance scores and ADAS state-of-health scores for requesting vehicles before allowing them to join the platoon. This advance evaluation enables optimal positioning decisions that maintain aerodynamic efficiency while accommodating new vehicles.
Solution Approach 2:
The system uses wireless performance scores and ADAS state-of-health scores as parameters to determine the optimal position of requesting vehicles within the platoon. By changing vehicle positions based on these parameters, the system maintains aerodynamic efficiency while increasing road capacity.
2Reliability
If vehicles are arranged based on comprehensive performance assessment, then aerodynamic efficiency and traffic flow stability are maintained, but the system complexity increases due to multiple scoring criteria and evaluation steps
Solution Approach 1:
The performance assessment system is divided into separate scoring components: wireless performance scores and ADAS state-of-health scores. Each component evaluates specific aspects of vehicle performance independently, making the overall system more manageable and easier to implement while maintaining comprehensive assessment capabilities.
Solution Approach 2:
The lead vehicle acts as an intermediary that receives and evaluates performance data from requesting vehicles, then determines optimal positioning. This centralized mediation simplifies the system architecture compared to distributed decision-making among all platoon members.
3Reliability
If vehicles with lower performance scores are placed at the end of the platoon, then aerodynamic efficiency is optimized, but the time required for positioning decisions increases due to detailed score analysis
Solution Approach 1:
Wireless performance scores and ADAS state-of-health scores are calculated and stored in advance before vehicles request to join the platoon. This preliminary computation enables rapid positioning decisions when vehicles request to join, reducing the time loss associated with detailed score analysis.
Solution Approach 2:
Requesting vehicles self-report their wireless performance scores and ADAS state-of-health scores to the lead vehicle. This self-service approach eliminates the need for the lead vehicle to conduct exhaustive measurements and assessments, significantly reducing positioning decision time while maintaining assessment accuracy.
Data Source
AI summary
A method of arranging platooning vehicles based on the vehicles' historic wireless performance. The method includes a requesting vehicle requesting permission from a lead vehicle of a platoon to join the platoon. The lead vehicle determines if the Advance Driver Assisted Systems (ADAS) Instance State-of-Health (SOH) Scores are above a predetermined minimal threshold and if so, then whether the Overall Historic ADAS SOH Score contains one or more discrepancies. If the Overall Historic ADAS SOH Score contains no discrepancies, the lead vehicle than analyzes the historic wireless performance data from the requesting vehicle and determines a historic wireless performance (WP) score for the requesting vehicle. The requesting vehicle is then arranged in the platoon based on the relative historic WP score of the requesting vehicle to the WP score of the platooning vehicles.