Lane Change Control Using Driver Intention Sensors
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Solution Overview
Problem
Current lane change control systems in vehicles do not effectively account for a driver's personal disposition, leading to uncomfortable experiences for drivers as they are often based on uniform time and distance rather than the driver's intention, potentially resulting in aggressive or passive lane changes.
Innovation Solution
A lane change system that utilizes sensors to detect the rotational angular velocity of the turn signal lever, electric field signals from the gear lever, and omnidirectional sensors to set driving modes, allowing for rapid, intermediate, or slow lane changes based on the driver's intention and environmental conditions, prioritizing the driver's intent over safety data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform time and distance based lane change control is used, then safety is improved, but driver comfort and satisfaction deteriorate
Solution Approach 1:
The lane change control system dynamically adjusts the lane change profile based on detected driver intention. The system transitions from a static, uniform control approach to a dynamic one where parameters such as acceleration and timing are adapted in real-time according to driver disposition, thereby maintaining safety while improving comfort.
Solution Approach 2:
The system changes control parameters (acceleration, timing, speed profile) based on detected driver intention. By modifying these parameters according to whether the driver exhibits aggressive or passive tendencies, the system resolves the contradiction between uniform safety-based control and personalized comfort.
2Speed
If aggressive lane change control is applied, then lane change speed is improved, but driver comfort for passive drivers deteriorates
Solution Approach 1:
The system applies different control qualities to different drivers based on their individual characteristics. Instead of a one-size-fits-all approach, the lane change control is customized locally for each driver's disposition, allowing aggressive drivers to experience faster lane changes while passive drivers experience smoother, more comfortable transitions.
Solution Approach 2:
The system modifies lane change parameters such as acceleration rate and completion time based on detected driver intention. This allows the same vehicle to exhibit different lane change behaviors tailored to individual driver preferences, resolving the contradiction between speed and comfort.
3Reliability
If passive lane change control is applied, then driver comfort for aggressive drivers deteriorates, but safety is maintained
Solution Approach 1:
The system dynamically adapts the lane change profile to match driver expectations. For aggressive drivers who anticipate faster lane changes, the system adjusts parameters to provide more rapid transitions while still maintaining safety margins, thereby preventing frustration while preserving safety.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables lane changes that align with the driver's intention, improving comfort by allowing for tailored speed and acceleration levels, thus enhancing driving experience while ensuring safety by considering collision probabilities and allowable times.
Implementation Method 1
an angular velocity sensor configured to sense the rotational angular velocity of the turn signal lever
Implementation Method 2
an electric field signal sensor configured to sense the electric field signal generated due to an operator's contact with the gear lever
Data Source
AI summary
A lane change device, a system including the same, and a method thereof are provided. The lane change system includes a sensor unit that senses a rotational angular velocity of a turn signal lever of a subject vehicle, an electric field signal of a gear lever of the subject vehicle, and distances between the subject vehicle and neighboring vehicles. A processor then sets a driving mode using the rotational angular velocity, the electric field signal, and the distances between the subject vehicle and the neighboring vehicles, generates a lane change path based on the driving mode, and executes a lane change of the subject vehicle.