Curve Passing Control Using Road-Condition-Aware Vehicle Parameters
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Solution Overview
Problem
There is a high incidence of accidents in curved sections of roads, necessitating an efficient method to reduce such incidents by providing vehicles with appropriate guidance and parameters for safe passage.
Innovation Solution
A system that uses vehicle sensors to acquire environmental information and current vehicle parameters, detects approaching curves, determines optimal passing parameters based on road conditions, and responds by informing the driver or applying autonomous vehicle patterns to ensure safe passage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drivers manually navigate curves without assistance, then the driving operation is simple, but the accident risk increases due to lack of optimal parameter guidance
Solution Approach 1:
The system performs preliminary detection of curve parameters and road conditions before the vehicle reaches the curve. It calculates optimal propagation parameters (speed, acceleration, steering angle) in advance and provides guidance to the driver before the critical maneuver, preventing accidents through proactive rather than reactive control.
Solution Approach 2:
The system acts as an intermediary between the driver and the curve navigation task. It processes sensor data about road conditions and vehicle state, then translates this into actionable guidance parameters that assist the driver without requiring full automation, thus improving safety while maintaining driver involvement.
2Loss of information
If the system provides detailed curve passing parameters to the driver, then the driver receives comprehensive guidance, but the information processing complexity increases
Solution Approach 1:
The system transforms complex sensor data about road conditions, vehicle state, and curve geometry into a simplified set of key propagation parameters (speed, acceleration, steering angle). This parameter transformation maintains information completeness by focusing on the most critical control variables while reducing overall information processing complexity through dimensionality reduction.
3Reliability
If the system adapts propagation parameters based on road conditions, then the curve passing safety improves, but the control system complexity increases
Solution Approach 1:
The system applies different control strategies tailored to specific road conditions detected in different locations. Instead of a uniform control approach, it adjusts propagation parameters locally based on detected conditions such as wet roads, curves, or obstacles, improving safety through context-specific adaptation while managing complexity through modular condition-response logic.
Data Source
AI summary
A method for passing a curve, the method may include sensing, by a vehicle sensor, environment information regarding an environment of the vehicle; sensing at least one current propagation parameter of the vehicle; detecting, based on at least the environment information, (a) that the vehicle is about to reach the curve, (b) one or more first road conditions of a first road segment that precedes the curve; determining one or more curve passing propagation parameters to be applied by the vehicle while passing the curve, wherein the determining is based, at least in part, on the one or more first road conditions and on the at least one current propagation parameter; and responding to the determining.