Vehicle Collision Avoidance via Predictive Lane Change Control
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Solution Overview
Problem
Existing vehicle control systems fail to effectively detect and mitigate collisions with following vehicles and manage lane changes on highways, leading to potential accidents and traffic congestion.
Innovation Solution
A vehicle control apparatus and method that includes a vehicle information acquisition module to calculate distance and relative speed with following vehicles, a collision prediction module to determine potential collision probability, and a controller to adjust the host vehicle's speed or braking to avoid collisions or concede lane changes, utilizing sensors like radar, laser, and cameras for detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the host vehicle maintains its current lane position in the overtaking lane, then the host vehicle can travel at higher speed, but a following vehicle may collide with the host vehicle
Solution Approach 1:
The system performs preliminary detection of following vehicles using rearward-facing sensors before a collision occurs. When a following vehicle is detected at a critical distance, the system proactively initiates lane change preparation by determining target lane positions and planning lane change trajectories, rather than reacting after collision risk materializes.
Solution Approach 2:
The system introduces an automated lane change control system as an intermediary between the host vehicle and the following vehicle. This intermediary system coordinates the lane change maneuver by calculating optimal timing and trajectories, ensuring the host vehicle transitions to the traveling lane before the following vehicle reaches a dangerous proximity, thereby preventing collision while maintaining efficient travel.
2Reliability
If the host vehicle changes lane to avoid collision with a following vehicle, then collision risk is reduced, but traffic flow may be disrupted
Solution Approach 1:
The system dynamically adjusts lane change timing and trajectory based on real-time conditions. It continuously monitors the following vehicle's position, speed, and acceleration, as well as the state of the traveling lane, to determine the optimal moment for lane change. This dynamic adaptation ensures lane changes occur at the most appropriate moments, minimizing disruption to traffic flow while maintaining collision avoidance.
Solution Approach 2:
The system implements a feedback mechanism where the detection module continuously provides information about the following vehicle's approach speed and distance. The control module uses this feedback to adjust the lane change timing, accelerating or delaying the maneuver as needed. This closed-loop control ensures that lane changes are performed only when safe and necessary, optimizing both collision avoidance and traffic flow efficiency.
3Productivity
If the host vehicle accelerates to maintain speed advantage over following vehicle, then travel efficiency is improved, but collision probability increases
Solution Approach 1:
The system performs preliminary detection of following vehicles using rearward-facing sensors before a collision occurs. When a following vehicle is detected at a critical distance, the system proactively initiates lane change preparation by determining target lane positions and planning lane change trajectories, rather than reacting after collision risk materializes.
Solution Approach 2:
The system introduces an automated lane change control system as an intermediary between the host vehicle and the following vehicle. This intermediary system coordinates the lane change maneuver by calculating optimal timing and trajectories, ensuring the host vehicle transitions to the traveling lane before the following vehicle reaches a dangerous proximity, thereby preventing collision while maintaining efficient travel.
4Reliability
If the host vehicle decelerates to concede to a following vehicle, then lane change safety is improved, but travel time increases
Solution Approach 1:
The system dynamically adjusts lane change timing and trajectory based on real-time conditions. It continuously monitors the following vehicle's position, speed, and acceleration, as well as the state of the traveling lane, to determine the optimal moment for lane change. This dynamic adaptation ensures lane changes occur at the most appropriate moments, minimizing disruption to traffic flow while maintaining collision avoidance.
Solution Approach 2:
The system implements a feedback mechanism where the detection module continuously provides information about the following vehicle's approach speed and distance. The control module uses this feedback to adjust the lane change timing, accelerating or delaying the maneuver as needed. This closed-loop control ensures that lane changes are performed only when safe and necessary, optimizing both collision avoidance and traffic flow efficiency.
Data Source
AI summary
An apparatus and a method for controlling a vehicle calculate a distance from a following vehicle and a relative speed of the following vehicle, if the following vehicle is detected on the rear side of a host vehicle based on detection information received from a detection module detecting an object around the host vehicle, determine a probability of a potential collision of the following vehicle with the host vehicle based on the distance from the following vehicle and the relative speed of the following vehicle, and accelerate or decelerate a traveling speed of the host vehicle, or adjust brake torque of the host vehicle, if the potential collision of the following vehicle with the host vehicle is predicted. When a probability of a potential collision with the following vehicle is predicted, injuries to a driver and occupants can be prevented or reduced.