Curved-Road Target Speed Control with Surface and Traffic Sensing
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Solution Overview
Problem
Conventional vehicle driving control systems fail to accurately calculate target speeds on curved roads, leading to increased collision probabilities due to lack of consideration for road and surface conditions, neighboring vehicle movements, and driver concentration.
Innovation Solution
A vehicle driving control system that computes target speed based on road information, road surface conditions, neighboring vehicle location and movement, and driver concentration, using sensors and navigation data to adjust speed according to curvature, friction coefficient, temperature, luminance, and cautious driving zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the vehicle drives on a curved road at the same speed as on a straight road, then the driving speed is maintained, but the collision probability increases
Solution Approach 1:
The system dynamically adjusts the target speed based on real-time road conditions, curvature radius, and environmental factors. The computing device continuously calculates an optimized target speed that adapts to changing road conditions, transitioning from static speed maintenance to dynamic speed optimization, thereby reducing collision probability while maintaining efficient throughput.
Solution Approach 2:
The system changes the speed parameter based on multiple input variables including curvature radius, road surface friction coefficient, temperature, and luminance. By adjusting the speed parameter in response to changing conditions, the system optimizes the trade-off between maintaining driving speed and reducing collision probability on curved roads.
2Reliability
If the system calculates target speed considering multiple factors (road information, road surface condition, neighboring vehicle information), then the collision probability is reduced, but the device complexity increases
Solution Approach 1:
The computing device serves multiple functions: it receives and processes road information, road surface conditions, neighboring vehicle data, and environmental parameters, then integrates all these inputs to calculate the target speed. This multi-functional approach consolidates multiple processing tasks into a single device, managing complexity while achieving comprehensive safety optimization.
Solution Approach 2:
The system merges multiple information sources (road information device, road surface information device, neighboring vehicle information device, temperature information device, luminance information device) into a unified computing device that processes all inputs simultaneously. This consolidation integrates disparate data streams and processing functions into a single coordinated system, reducing overall system complexity while maintaining comprehensive safety monitoring.
3Measurement precision
If the computing device processes multiple input parameters (curvature radius, friction coefficient, temperature, luminance), then the target speed accuracy is improved, but the calculation time increases
Solution Approach 1:
The system performs preliminary processing of input parameters by receiving pre-calculated values from various information devices (curvature radius from road information device, friction coefficient from road surface information device). By having data prepared in advance from specialized sensors and processing units, the computing device can efficiently integrate these pre-processed inputs without significant calculation delays, maintaining both accuracy and real-time performance.
Data Source
AI summary
The present disclosure discloses a vehicle driving control system including a road information device calculating road information of a curved road on which the vehicle drives; a road surface information device calculating road surface condition of a road; a neighboring vehicle information device calculating location information or movement information of the neighboring vehicle located close to the vehicle; and a computing device computing a target speed based on the road information calculated by the road information device, the road surface condition calculated by the road surface information device, and the location information or movement information of the neighboring vehicle calculated by the neighboring vehicle information device.