AI Vehicle Platooning with Digital Twin Maneuver Planning
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Solution Overview
Problem
Existing vehicle platooning systems face challenges in ensuring safety and efficiency, particularly in determining optimal locations for maneuvers and dynamically updating vehicle configurations to maximize efficiency, as they often assume sufficient space and safe conditions without considering real-time traffic dynamics.
Innovation Solution
An AI platoon system that uses hierarchical AI data to simulate vehicle platooning maneuvers, determining safe and efficient execution locations and reconfiguring vehicle platoons to achieve maximum efficiency by leveraging real-time and predicted traffic information, and executing digital twin simulations to optimize vehicle ordering and routing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle platooning maneuvers are executed without simulation-based location determination, then the system operation is simpler and faster, but the safety and efficiency of maneuvers are compromised
Solution Approach 1:
The system performs simulation-based location determination before actual vehicle platooning maneuvers are executed. The simulation module pre-calculates optimal maneuver locations and safety parameters using digital twin technology, allowing the actual maneuver to proceed with higher confidence and safety while reducing the need for complex real-time decision-making systems.
Solution Approach 2:
The system creates a digital twin copy of the roadway environment and vehicle platoon to perform simulations. This virtual copy allows safe and efficient maneuver planning without risking actual vehicles, enabling reliable location determination while keeping the physical system relatively simple.
2Manufacturing precision
If vehicle platooning maneuvers are executed without simulation-based location determination, then the system is easier to operate, but the execution precision and safety are reduced
Solution Approach 1:
The simulation module pre-determines optimal maneuver locations and parameters before actual execution. This preliminary analysis ensures high precision in maneuver execution by identifying the best locations based on simulated conditions, while the actual operation remains straightforward as it follows pre-calculated instructions.
Solution Approach 2:
The simulation system acts as an intermediary between the platoon management system and actual vehicle execution. It translates high-level maneuver requests into precise location recommendations, ensuring accurate execution without requiring the operation system to handle complex location determination directly.
3Measurement precision
If hierarchical AI data is used to seed simulations, then the accuracy of traffic information is improved, but the data processing complexity increases
Solution Approach 1:
The hierarchical AI data is segmented into multiple levels of abstraction and time horizons (e.g., immediate traffic conditions, short-term predictions, long-term patterns). This segmentation allows the simulation to use only the relevant data granularity needed for each specific maneuver planning scenario, improving accuracy while managing processing complexity through selective data usage.
Solution Approach 2:
The system dynamically adjusts the level of AI data processing complexity based on the specific maneuver planning needs. For routine maneuvers, simplified data processing is used, while for complex or critical maneuvers, more comprehensive hierarchical AI analysis is activated, optimizing the balance between accuracy and processing complexity.
Data Source
AI summary
The disclosure includes embodiments for managing a vehicle platoon. In some embodiments, a method includes receiving a request to execute a vehicle platooning maneuver from a vehicle operating in a roadway environment. The method includes executing a simulation. The method includes determining an area in the roadway environment where the vehicle platooning maneuver is executed based on the simulation. The method includes instructing the vehicle to execute the vehicle platooning maneuver at the area.