Vehicle Path Control Using V2X Data for Curve Stability
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Solution Overview
Problem
Existing vehicle control systems struggle to effectively utilize V2X communication to infer past information and control driving paths based on surrounding vehicles, leading to instability and increased accident risk, particularly in rapid curve sections and when following or platooning with other vehicles.
Innovation Solution
A vehicle control system that utilizes V2X communication to receive movement information from multiple forward vehicles, calculates an average driving path, and controls the subject vehicle to follow this path or a specific forward vehicle, ensuring stability and safe speed adjustments based on lane conditions and adjacent vehicle speeds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If V2X communication is used to receive movement information from multiple forward vehicles, then driving stability is improved, but the complexity of the control system increases
Solution Approach 1:
The control system processes movement information from multiple forward vehicles by dividing the task into distinct modules: receiving unit for data collection, calculation unit for path computation, and control unit for execution. This segmentation allows the system to handle complex V2X communication data in a structured manner, improving driving stability through systematic processing while managing system complexity through modular architecture.
Solution Approach 2:
The system performs preliminary calculation of average driving paths based on movement information from multiple forward vehicles before actual control execution. By pre-processing the V2X communication data to determine optimal paths in advance, the system improves driving stability through proactive path planning while reducing real-time computational burden, thus managing control system complexity.
2Measurement precision
If the control system calculates an average driving path from multiple forward vehicles, then navigation accuracy through curves is improved, but the loss of time for path calculation increases
Solution Approach 1:
The control system calculates average driving paths using movement information from a selected subset of forward vehicles rather than processing all available data. By applying partial action to the path calculation process, the system achieves sufficient navigation accuracy through curves while reducing the time required for computation, thus balancing precision with efficiency.
Solution Approach 2:
The system prioritizes and accelerates the calculation of average driving paths for critical sections such as rapid curves by skipping less important processing steps or using simplified algorithms for non-critical path segments. This allows the system to achieve high navigation accuracy where needed while minimizing overall path calculation time.
3Speed
If the subject vehicle follows a specific forward vehicle based on sensor detection, then responsiveness to immediate obstacles is improved, but the reliability of maintaining safe distance decreases
Solution Approach 1:
The control system continuously receives movement information from multiple forward vehicles through V2X communication and uses this feedback to adjust the subject vehicle's following behavior. By incorporating real-time position and speed data from multiple sources, the system maintains responsive following while reliably adjusting to preserve safe distances, resolving the contradiction between responsiveness and safety.
Solution Approach 2:
The system performs preliminary calculations of safe following distances based on movement information from multiple forward vehicles before the subject vehicle needs to react. By pre-determining appropriate safety margins and following parameters, the system achieves both responsive reaction to obstacles and reliable maintenance of safe distances through proactive planning.
Data Source
AI summary
A vehicle control system includes a receiving unit to receive movement information of a plurality of forward vehicles on a road on which a subject vehicle is driven through V2X communication; a sensor to sense a specific forward vehicle, from among the plurality of forward vehicles, that is driven ahead of the subject vehicle; and a control unit to calculate a driving path for the subject vehicle based on the movement information of the plurality of forward vehicles received by the receiving unit and to control driving of the subject vehicle to follow the driving path or the specific forward vehicle.