Driving Assist Lane Change Control for Place-Swapping Gaps
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle control systems fail to enable a host vehicle to perform a lane change to an adjacent lane when there is insufficient space, particularly in scenarios with X-shaped merges or multiple lanes, as they do not account for other vehicles' intentions or actions.
Innovation Solution
A driving assist method that detects a request for a lane change and identifies a lane-change-intending vehicle to swap places, setting the position of the vacant area created by this vehicle as the target for the host vehicle's lane change, using sensors and communication to coordinate maneuvers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the host vehicle attempts to perform a lane change to an adjacent lane using conventional space-sensing methods, then the lane change can be executed when sufficient space is detected, but the lane change cannot be performed when there is not a sufficient area of space before the lane change
Solution Approach 1:
The system performs preliminary detection of other vehicles' lane change intentions before the host vehicle executes its lane change. By detecting turn signal activation or lane change requests from other vehicles in advance, the system can predict future vacant spaces and plan the host vehicle's lane change trajectory accordingly, enabling lane changes even when current space is insufficient.
Solution Approach 2:
The system continuously monitors and detects the operational states (turn signals, lane change requests) of other vehicles around the host vehicle. This feedback information about other vehicles' intentions is used to dynamically adjust the lane change decision-making process, allowing the host vehicle to exploit emerging spaces created by other vehicles' maneuvers.
2Reliability
If the host vehicle waits for sufficient vacant space to perform a lane change, then safety is maintained, but productivity is reduced due to inability to execute timely lane changes in complex road scenarios
Solution Approach 1:
The system proactively detects other vehicles' lane change intentions before they execute their maneuvers. By anticipating future road conditions and vacant space creation, the system can plan and execute lane changes more efficiently without compromising safety, thereby improving productivity in complex road scenarios like X-shaped merges.
Solution Approach 2:
The system dynamically adjusts lane change decisions based on real-time detection of other vehicles' operational states. Rather than relying on static space assessment, the system continuously updates its understanding of road conditions by monitoring turn signals and lane change requests, enabling adaptive and efficient lane change execution that responds to changing traffic dynamics.
Data Source
AI summary
A driving assist method performs a lane change control to make a lane change to an adjacent lane. The method includes: detecting whether there is a request from the host vehicle to make a lane change to the adjacent lane; detecting whether there is any intention for another vehicle traveling in the adjacent lane to make a lane change towards the host vehicle lane upon detection of a presence of the lane change; establishing a lane-change-intending other vehicle as a designated vehicle for a place-swapping lane change upon detection of a presence of the intention for another vehicle to make a lane change towards the host vehicle lane; and setting the position of the designated vehicle traveling in the adjacent lane as a target lane change to be made by the host vehicle, and performing a lane change control based on the target lane change.


