Lane Change Trajectory Modeling Under Preceding Vehicle Interference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing automated driving simulation systems fail to accurately simulate vehicle lane changes in heavy traffic or fractious driver scenarios, as they do not account for interference from preceding vehicles, leading to unrealistic simulation results and inadequate decision-making support for practical applications.
Innovation Solution
A method for constructing a simulated vehicle lane change trajectory using a lane change trajectory coordinate system, which determines target longitudinal and transverse traveling data based on the vehicle's speed, the speed of preceding vehicles, and distance, allowing for the construction of multiple lane change trajectories and original lane return trajectories based on varying conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If only simple trajectory planning from one lane to another is considered, then the simulation process is fast and easy to implement, but the simulation realism is insufficient and does not reflect real-world interference factors
Solution Approach 1:
The patent segments the lane change trajectory into multiple phases: initial lane change trajectory, intermediate trajectory (when lane change condition is not met), and return trajectory. Each phase is constructed with different parameters and considerations, allowing the system to handle complex real-world scenarios while maintaining computational efficiency through modular processing.
Solution Approach 2:
The patent dynamically adjusts trajectory parameters based on real-time conditions. When the lane change condition is met, the system constructs a direct lane change trajectory; when not met, it transitions to an intermediate trajectory with updated parameters, and potentially a return trajectory. This dynamic adaptation enhances simulation realism without requiring complete recalculation from scratch.
2Reliability
If the lane change condition is not met and the vehicle returns to the original lane, then the safety is improved by avoiding collision, but the lane change completion time increases
Solution Approach 1:
The patent performs preliminary assessment of lane change conditions before executing the lane change maneuver. By evaluating the lane change condition (including checking if following vehicles are decelerating) in advance, the system can determine whether to proceed with lane change or return to the original lane, preventing unsafe maneuvers and optimizing time management through informed decision-making.
3Adaptability or versatility
If multiple trajectory types are constructed based on different conditions, then the adaptability to real-world scenarios is improved, but the computational complexity increases
Solution Approach 1:
The patent changes trajectory parameters based on condition evaluation. When the lane change condition is met, it uses parameters for direct lane change (target transverse traveling data, target longitudinal traveling data). When not met, it switches to intermediate trajectory parameters (updated acceleration, different speed constraints), and potentially return trajectory parameters. This parameter-based approach enables scenario adaptability while avoiding complete recalculation of all trajectory aspects.
Data Source
AI summary
This application discloses a method, an apparatus, and a storage medium for constructing a simulated vehicle lane change trajectory and control a vehicle based on it. One method includes: determining a target preceding vehicle according to a position of a lane change vehicle; determining target longitudinal traveling data; determining at least one lane change trajectory in a determination of at least one of following conditions: whether lane change condition is met; whether it is determined to continue to change lanes; and controlling the lance change vehicle based on the at least one lane change trajectory.