V2V Lane Change Control Using Adjacent Driver Aggression Assessment
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Solution Overview
Problem
Current Driver Assistance Systems (DAS) lack the ability to identify and account for the driving tendencies and aggression levels of adjacent vehicle drivers during lane changes, which can lead to collisions and accidents.
Innovation Solution
An apparatus and method utilizing Vehicle-to-Vehicle (V2V) communication to receive and analyze driving information from adjacent vehicles, including music output, accelerator and brake pedal control, and cruise control data, to calculate aggression levels and determine safe lane change parameters, thereby controlling the steering angle of the host vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If Lane-Changing Assistance System (LCAS) performs automatic lane change control based on basic collision risk assessment, then lane change automation is improved, but safety is worsened due to inability to identify aggressive driving tendencies of adjacent vehicle drivers
Solution Approach 1:
The system performs preliminary analysis of driving information (accelerator pedal depth, brake pedal depth, vehicle speed changes) to calculate aggression levels of adjacent vehicle drivers before executing lane change maneuvers. This advance assessment allows the host vehicle to identify potentially aggressive drivers and adjust lane change timing or provide warnings, thereby improving safety while maintaining automation.
Solution Approach 2:
The system introduces an intermediary aggression level calculation module that processes raw driving information from adjacent vehicles and transforms it into meaningful aggression level indicators. This intermediary layer enables the automated lane change system to make more informed decisions by considering driver behavior patterns rather than just basic collision risk, thus resolving the contradiction between automation and safety.
2Ease of operation
If the host vehicle assumes the adjacent vehicle driver will yield during lane change, then ease of operation is improved, but safety is worsened due to potential collisions with aggressive drivers
Solution Approach 1:
The system continuously monitors driving information from adjacent vehicles and provides feedback in the form of aggression level assessments. This feedback mechanism allows the lane change assistance system to dynamically adjust its behavior based on the actual driving tendencies of adjacent vehicle drivers, rather than relying on static assumptions. The system can warn the driver or cancel lane change maneuvers when aggressive behavior is detected, thereby maintaining ease of operation while improving collision prevention.
3Reliability
If V2V communication data is collected and analyzed to calculate aggression levels, then safety is improved, but device complexity is worsened
Solution Approach 1:
The system utilizes existing V2V communication infrastructure and multi-functional processing capabilities to handle various types of driving information (accelerator pedal, brake pedal, vehicle speed) through a unified aggression level calculation framework. By making the processing system multi-functional, the patent avoids adding dedicated hardware for each type of data analysis, thereby improving safety while minimizing the increase in device complexity.
Data Source
AI summary
Disclosed are an apparatus and a method for controlling a lane change using V2V communication information and an apparatus for calculating tendency information for the same. According to the apparatuses and the method, it is possible to improve safety when changing lanes by receiving diving information of drivers of other vehicles from communication modules of the other vehicles, generating tendency information of the drivers of the other vehicles on the basis of the driving information, and performing lane change control using the tendency information.