Adaptive Overtake Control Under Changing Traffic Conditions
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle systems are not optimized for overtaking maneuvers under variant traffic conditions, such as changes in the target vehicle's velocity, leading to suboptimal results.
Innovation Solution
A method and system that utilize sensors and a processor to continuously assess and control overtaking maneuvers based on conditions including speed, relative speed, distance, and presence of additional target vehicles, adjusting the maneuver accordingly to ensure validity and safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing vehicle systems perform overtaking maneuvers under variant traffic conditions, then the overtaking function is provided, but the results are suboptimal when the target vehicle changes its velocity
Solution Approach 1:
The system dynamically adjusts the overtaking maneuver in real-time by continuously monitoring traffic conditions and target vehicle velocity changes. The processor modifies acceleration profiles, timing, and maneuver parameters adaptively rather than executing fixed pre-programmed sequences, enabling the system to handle variant traffic conditions effectively
Solution Approach 2:
The system implements continuous feedback loops where sensors monitor target vehicle velocity, distance, and traffic conditions, and the processor uses this information to adjust the overtaking maneuver in real-time. This closed-loop control ensures the maneuver remains effective even when traffic conditions change during execution
2Reliability
If the vehicle continuously monitors updated sensor data to determine whether overtake conditions are still valid, then the safety and effectiveness of the maneuver is improved, but the computational load and system complexity increases
Solution Approach 1:
The system pre-establishes validity criteria and decision thresholds for overtaking conditions before the maneuver begins. These pre-defined parameters (minimum distance thresholds, velocity change limits, validity time windows) simplify real-time decision-making by providing clear decision boundaries, reducing computational complexity while maintaining safety
Solution Approach 2:
The system autonomously evaluates updated sensor data against pre-established criteria and automatically adjusts or suspends the maneuver without requiring external intervention. The processor self-manages the continuous monitoring and decision-making process, reducing the need for complex external control systems
Data Source
AI summary
In an exemplary embodiment, a vehicle system is provided that includes a sensor array and a processor. The sensor array is configured to generate vehicle sensor data pertaining to a target vehicle in proximity to the vehicle. The processor is coupled to the sensor array, and is configured to at least facilitate: beginning an overtake maneuver for the vehicle, via instructions provided to the drive system, when conditions for an overtake of the target vehicle by the vehicle are initially determined by the processor to be valid; subsequent to the beginning of the overtake maneuver, determining via the processor whether the conditions for the overtake of the target vehicle are still valid, based on updated sensor data reflecting variant traffic conditions; and further controlling the overtake maneuver based on the determining as to whether the conditions for the overtake of the target vehicle are still valid.