Adaptive Driving Control Using TTC to Avoid Unnecessary Braking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing driving control systems perform unnecessary braking based on simplistic headway distance measurements, failing to account for relative speed and time to collision (TTC), leading to non-dangerous situations being misinterpreted as hazardous.
Innovation Solution
A driving control apparatus that utilizes sensors to identify driving situations, including TTC, timegap, and relative speed, and selectively performs braking control based on threshold comparisons, switching between coasting and braking modes to optimize deceleration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If braking control is activated based on simple headway distance measurement, then collision risk avoidance is improved, but unnecessary braking occurs in non-dangerous situations
Solution Approach 1:
The patent changes the parameters used for risk assessment from simple headway distance to multiple parameters including TTC (time to collision), relative speed, and headway distance. By incorporating these additional parameters, the system can more accurately distinguish between dangerous and non-dangerous situations, thereby reducing unnecessary braking while maintaining collision avoidance capability
Solution Approach 2:
The system continuously monitors multiple parameters (TTC, relative speed, headway distance) and uses feedback from these measurements to dynamically adjust braking control decisions. This multi-parameter feedback mechanism allows the system to make more accurate real-time decisions about when braking is truly necessary
2Measurement precision
If multiple parameters (TTC, relative speed, timegap) are used for risk assessment, then braking accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the risk assessment process into distinct computational steps: calculating headway distance from sensor data, computing TTC based on relative speed and distance, determining timegap, and then comparing these separate parameters against thresholds. This segmentation makes the complex multi-parameter system more manageable and implementable
Data Source
AI summary
A driving control apparatus includes a sensor device, a memory, and a controller. The driving control apparatus identifies at least one of a driving situation of an ego vehicle, driving information of the ego vehicle, or any combination thereof, using the sensor device; performs coasting control of the ego vehicle based on a first driving mode, when the at least one of the driving situation, the driving information, or the any combination thereof meets a specified condition; identifies risk information including at least one of at least one time to collision (TTC), a timegap with a forward vehicle, a relative speed to the forward vehicle, or any combination thereof; and determines whether to switch a driving mode to a second driving mode or a third driving mode including braking control, based on the result of comparing the risk information with a threshold.