Automatic Lane Change Control Near Merging Traffic Slowdowns
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Solution Overview
Problem
Conventional automated driving systems face issues where automatic lane change operations are halted mid-process due to deceleration when merging with another vehicle, leading to discomfort and inefficiency.
Innovation Solution
A vehicle control device that estimates the likelihood of the vehicle's speed dropping below a predetermined threshold based on relative speed and distance with merging vehicles, disabling automatic lane changes to adjacent lanes to prevent halting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle adjusts speed to accommodate merging vehicles, then safety and courtesy are improved, but the automatic lane change operation may be stopped halfway due to speed dropping below threshold
Solution Approach 1:
The control unit predicts future speed based on current relative speed and distance to merging vehicles before the lane change operation commences. This preliminary speed prediction allows the system to proactively determine whether speed will drop below the threshold during the maneuver, enabling preventive decision-making about whether to initiate the lane change operation at all.
Solution Approach 2:
The system dynamically adjusts the lane change decision based on real-time relative speed and distance measurements to merging vehicles. By continuously monitoring these parameters and updating the speed prediction, the system adapts to changing traffic conditions to ensure the lane change can complete successfully without being halted mid-operation.
2Productivity
If the vehicle maintains higher speed to complete lane change, then lane change efficiency is improved, but safety margin for merging vehicles is reduced
Solution Approach 1:
The control unit continuously receives feedback from sensors measuring relative speed and distance to merging vehicles. This feedback loop enables the system to predict future speed scenarios and adjust the lane change decision accordingly, balancing the need for efficient lane changes with adequate safety margins for merging vehicles.
Solution Approach 2:
The system changes the decision parameter from static speed threshold checking to dynamic speed prediction based on relative speed and distance parameters. By calculating future speed states using current relative motion parameters, the system optimizes both lane change efficiency and merging safety through parameter-based decision-making.
Data Source
AI summary
A device comprising: an acquisition unit that acquires surrounding information of a self-vehicle; and a control unit that controls traveling of the self-vehicle based on the surrounding information, wherein the control unit estimates whether a traveling speed of the self-vehicle will be equal to or less than a predetermined speed based on a relative speed between a traveling speed of the self-vehicle and a traveling speed of another vehicle traveling in a merging lane merging into a traveling lane in which the self-vehicle is traveling and based on a relative distance between the self-vehicle and the other vehicle, and when estimating that the traveling speed of the self-vehicle will be equal to or less than the predetermined speed, disables an automatic lane change operation of the self-vehicle to an adjacent lane adjacent to the traveling lane.