Traffic Node Trajectory Control Under Uncertain Vehicle Motion
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Solution Overview
Problem
Existing technologies for managing traffic at junctions often rely on optimizers to determine trajectories, which can lead to collisions if uncertainties or disturbances occur.
Innovation Solution
A computer-implemented method and device that optimize the movement of a first mobile object at a traffic node by predicting the trajectory of both the first and second mobile objects, taking into account constraints and uncertainties, without relying on optimizers to avoid collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an optimizer is used to determine trajectories for moving mobile objects at a traffic node, then the movement efficiency is improved, but collisions may occur when uncertainties or disturbances happen in real-world scenarios
Solution Approach 1:
The patent applies preliminary action by predicting trajectories of other mobile objects before the actual movement occurs. The prediction model forecasts future positions and states of surrounding objects, allowing the system to proactively plan collision-free paths rather than reacting after collisions occur. This advance prediction and planning ensures safety while maintaining movement efficiency.
2Reliability
If constraints are added to account for uncertainties and disturbances in trajectories, then collision avoidance is improved, but the complexity of the control system increases
Solution Approach 1:
The patent implements feedback by continuously monitoring the actual states of mobile objects and comparing them with predicted trajectories. When deviations occur due to disturbances or uncertainties, the system uses this feedback information to adjust constraints and recalculate trajectories in real-time. This closed-loop approach ensures robust collision avoidance while managing system complexity through iterative refinement rather than overly complex upfront planning.
Data Source
AI summary
A computer-implemented method for moving a first mobile object at a traffic node includes determining a state of the first mobile object including a position, a velocity, or an acceleration of the first mobile object, and receiving a trajectory of a state of a second mobile object at the traffic node. The method further includes determining a constraint for the state of the first mobile object based on the received trajectory of the state of the second mobile object, and determining a trajectory of the state of the first mobile object based on the state of the first mobile object using a model configured to predict the trajectory of the state of the first mobile object based on (i) a trajectory of a driving signal for moving the first mobile object, and (ii) the state of the first mobile object.