Lane Change Gap Detection and Following Distance Control
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Solution Overview
Problem
Existing driver assistance systems for lane changes on multi-lane roadways do not adequately enhance driving safety and comfort, particularly in dense traffic, as they require manual adjustments of following distance and speed, and lack efficient gap detection for smooth merging.
Innovation Solution
A driver assistance system that detects gaps in adjacent lanes, adjusts following distance and speed, and facilitates automatic or manual lane changes by transverse guidance, using a sensor unit and signal means to ensure safe merging without violating minimum or maximum distances, and can be activated automatically based on predictive route data and swarm data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the following distance is temporarily reduced to allow acceleration for lane changing, then the lane change execution capability is improved, but the collision risk with the vehicle ahead increases
Solution Approach 1:
The system performs preliminary detection of gaps in adjacent lanes and pre-calculates the required following distance reduction before initiating lane change. This allows the vehicle to accelerate smoothly while maintaining safety margins, resolving the contradiction between lane change capability and collision risk.
Solution Approach 2:
The system continuously monitors the relative positions and speeds of surrounding vehicles during the lane change process, dynamically adjusting the following distance based on real-time feedback. This ensures that the reduced following distance does not lead to collision while still enabling effective lane changes.
2Ease of operation
If manual adjustments of following distance and speed are required for lane changes, then the driver maintains control, but the driving comfort and safety are reduced
Solution Approach 1:
The driver assistance system automatically performs the complex tasks of detecting gaps, calculating optimal following distances, and executing speed adjustments for lane changes. The system serves itself by autonomously managing these maneuvers while the driver retains overall control, thereby improving comfort without excessive complexity.
Solution Approach 2:
The system dynamically adjusts the following distance and speed based on real-time traffic conditions, gap detection results, and lane change requirements. This dynamic adaptation allows the system to provide high-level automation when needed while maintaining driver control, balancing comfort and complexity.
3Productivity
If the vehicle accelerates to elevated speed for lane changing, then the lane change efficiency is improved, but the energy consumption increases
Solution Approach 1:
The system optimizes the acceleration profile by dynamically adjusting the target speed and duration of acceleration based on the detected gap size, relative speeds of surrounding vehicles, and lane change distance. This parameter optimization enables efficient lane changes while minimizing unnecessary energy consumption from excessive acceleration.
Data Source
AI summary
Technologies and techniques for automatically preparing and/or executing a possible lane change with an ego vehicle traveling in moving traffic from a first lane to a second lane of a multi-lane roadway by means of a driver assistance system and to a driver assistance system. Gaps are detected between two vehicles, and the relative positions and movements of the gaps relative to the ego vehicle will facilitate a potential lane change of the ego vehicle. The driver assistance system adjusts the following distance and/or following speed of the ego vehicle relative to the vehicle ahead in such a way that changing a lane and merging into a gap of an adjacent lane is possible by means of a transverse guidance of the ego vehicle.