Adaptive Safety Distance Control for Vehicle Traffic Flow
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Solution Overview
Problem
Existing Adaptive Cruise Control (ACC) systems fail to effectively integrate vehicles into traffic flow and manage safety distances, leading to potential dangerous reactions from other motorists and the formation of traffic jams due to inadequate adaptation of safety distances to traffic conditions and braking capacities.
Innovation Solution
A method for managing safety distance between vehicles by identifying the preceding vehicle's maximum braking capacity, calculating reference distances to avoid collisions and ensure chain stability, and displaying these distances on a man-machine interface to allow drivers to adjust and maintain a safe following distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the safety distance is increased to ensure collision avoidance, then the reliability of the distance regulation system is improved, but the vehicle cannot be well integrated into traffic flow and may cause dangerous reactions from other motorists
Solution Approach 1:
The patent applies dynamics by making the safety distance adjustable and adaptive rather than fixed. The system dynamically adjusts the safety distance between the first and second vehicles based on real-time conditions, allowing the distance to vary between a first value (for collision avoidance) and a second value (for traffic flow integration). This resolves the contradiction by enabling the system to adapt to different operational contexts.
Solution Approach 2:
The patent changes the parameter of safety distance from a static value to a variable parameter that can be adjusted between two values. By modifying this key parameter based on detected conditions (such as braking capacity of the second vehicle), the system achieves both collision avoidance and proper traffic flow integration, resolving the contradiction between reliability and adaptability.
2Adaptability or versatility
If the safety distance is decreased to improve traffic flow integration, then the adaptability to traffic conditions is improved, but the risk of collision increases and chain stability may be compromised
Solution Approach 1:
The system dynamically adjusts the safety distance based on real-time detection of the second vehicle's braking capacity and other conditions. When conditions permit, the distance is reduced to improve traffic flow integration; when risks are detected, the distance is increased to ensure collision avoidance. This dynamic adaptation resolves the contradiction between adaptability and reliability.
Solution Approach 2:
The system employs feedback by continuously detecting the braking capacity of the second vehicle and other relevant parameters, then using this information to adjust the safety distance. This closed-loop control ensures that the distance is optimized for both traffic flow integration and collision avoidance based on actual conditions, resolving the contradiction.
3Device complexity
If a fixed safety distance is used to simplify the control system, then the device complexity is reduced, but the system cannot adapt to different braking capacities and traffic conditions
Solution Approach 1:
The system performs self-service by automatically detecting the braking capacity of the second vehicle and autonomously adjusting the safety distance without requiring complex manual intervention or overly complicated control mechanisms. This self-adjusting capability provides adaptability while keeping the control system relatively simple, resolving the contradiction between device complexity and adaptability.
Solution Approach 2:
The system changes the safety distance parameter based on detected braking capacity and traffic conditions. By making this single key parameter adaptive rather than fixed, the system achieves versatility in handling different conditions without requiring a fundamentally complex control architecture, thus resolving the contradiction between simplicity and adaptability.
4Loss of time
If the safety distance is reduced to minimize impact on following vehicles, then the loss of time in traffic flow is reduced, but the chain stability may be compromised and speed variations amplified
Solution Approach 1:
The system dynamically adjusts the safety distance to optimize both traffic flow efficiency and chain stability. By adapting the distance to conditions including the braking capacity of the second vehicle, the system minimizes unnecessary time loss while maintaining stability margins when needed, resolving the contradiction between time efficiency and stability.
Data Source
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AI summary
Method for managing a safety distance (D) between a first vehicle (1) and a second vehicle (12) preceding the first vehicle (1), characterized in that it comprises: - an identification step (E1) of the second vehicle (12), - a determination step (E2) of a maximum braking capacity of the second vehicle (12) as a function of its identification, - a calculation step (E3) of a first reference distance (D1) as a function of the maximum braking capacity of the second vehicle (12), - a calculation step (E4) of a second reference distance (D2) between the first vehicle (1) and the second vehicle (12), the second reference distance (D2) being equal to a minimum safety distance between the first vehicle (1) and the second vehicle (12) guaranteeing chain stability.