Automated Vehicle Platooning for Localization-Aware Driving Strategy
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Solution Overview
Problem
The challenge of operating multiple automated vehicles simultaneously leads to high traffic density, longer trips, increased pollutant emissions, and safety concerns due to reduced localization accuracy, which affects distance recognition and avoidance maneuvers.
Innovation Solution
A method that involves picking up signals from automated vehicles, inputting a map to determine a common driving strategy that optimizes localization potential, allowing vehicles to follow a trajectory that enhances their positioning accuracy and reduces traffic density by grouping them closely, thereby improving safety and reducing emissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple automated vehicles operate simultaneously with standard spacing, then traffic density increases and trip duration increases, but localization accuracy deteriorates
Solution Approach 1:
The patent groups multiple automated vehicles into platoons that travel together in close formation. By merging their localization efforts and sharing positioning data within the group, the system maintains high localization accuracy even when vehicles are in close proximity, thereby reducing overall trip duration without sacrificing measurement precision.
Solution Approach 2:
The patent introduces a server as an intermediary that receives signals from multiple automated vehicles and processes map data to determine optimal driving strategies. This intermediary coordinates the vehicles' movements and localization, enabling them to operate in dense formations while maintaining accurate positioning through centralized computation and data sharing.
2Reliability
If automated vehicles maintain larger distances for safety, then localization accuracy improves, but traffic density increases and emissions increase
Solution Approach 1:
The patent implements a feedback mechanism where the server continuously receives signals from automated vehicles, processes their positions and environmental data, and sends back optimized driving strategies. This real-time feedback enables vehicles to maintain safe distances through precise localization and coordinated control, reducing unnecessary spacing while minimizing emissions through efficient routing and platoon-based travel.
3Productivity
If automated vehicles travel in dense formations, then traffic density decreases and trip time reduces, but localization accuracy deteriorates
Solution Approach 1:
The patent segments the localization and control functions by separating signal reception, map processing, and driving strategy determination into a centralized server. This segmentation allows individual vehicles to travel in close formations for improved productivity while the server maintains high localization accuracy through aggregated data processing and coordinated position determination for the entire platoon.
Data Source
AI summary
A method and device for operating at least two automated vehicles including picking up signals, which are transmitted in each case from the at least two automated vehicles; inputting a map as a function of the signals, determining a common driving strategy for the at least two automated vehicles in a way that optimizes a localization potential of the at least two automated vehicles on the basis of the map and as a function of the signals, and providing the common driving strategy for operating the at least two automated vehicles. A vehicle device for operating an automated vehicle, which includes a transmitter and receiver device, and a control unit is also provided.