Automatic Drive Control System for Vehicle Spacing Optimization
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Solution Overview
Problem
Current advanced driver assistance systems do not effectively manage vehicle spacing and obstacle detection, leading to inefficiencies in traffic flow and safety concerns, particularly in situations where relative speeds and distances between vehicles are not optimized.
Innovation Solution
A vehicle-mounted automatic drive control system comprising sensors, a controller, and a drive control feedback portion that detects objects and adjusts vehicle status based on preset conditions, including relative speed and distance, to facilitate smoother traffic flow and improved safety by prompting other vehicles to adjust their status or avoiding obstacles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driver assistance systems improve sensing and decision-making capabilities, then driving safety and comfort are improved, but system complexity and cost increase
Solution Approach 1:
The patent combines multiple sensing functions (object detection, relative speed measurement, distance calculation) and control functions (accelerator control, brake control, steering control) into an integrated automatic drive control system. The controller centralizes decision-making by processing data from multiple sensors and coordinating multiple actuators, thereby improving safety while managing complexity through systematic integration rather than separate independent systems
Solution Approach 2:
The system continuously monitors driving status, object positions, relative speeds, and distances through sensors, compares these measurements against safety parameters and preset conditions, and automatically adjusts vehicle operations through feedback control loops. This closed-loop feedback mechanism enables the system to adaptively maintain safety without requiring constant human intervention, improving reliability while automating the complex control processes
2Productivity
If automatic drive control system manages vehicle spacing and optimizes traffic flow, then transportation efficiency is improved, but response time and control precision requirements increase
Solution Approach 1:
The system performs preliminary calculations of relative speeds and distances between vehicles, anticipates potential safety issues or traffic flow optimizations needed, and prepares control actions in advance. By continuously monitoring and pre-computing optimal spacing and speed adjustments, the system can respond rapidly to changing traffic conditions while maintaining precise control, thereby improving transportation efficiency without sacrificing response time
Solution Approach 2:
The system dynamically adjusts critical parameters such as vehicle spacing, relative speed thresholds, and acceleration/deceleration rates based on real-time conditions. By optimizing these parameters adaptively rather than using fixed values, the system achieves precise control over vehicle operations and traffic flow management, enabling improved transportation efficiency while meeting stringent precision requirements through intelligent parameter optimization
3Reliability
If system detects objects and automatically adjusts vehicle operations, then safety is improved, but false alarms and unnecessary interventions may increase
Solution Approach 1:
The system implements a hierarchical control strategy where it first issues gentle warnings or partial corrections for minor deviations, and only escalates to full automatic intervention when safety thresholds are critically violated. This staged approach allows the system to maintain safety through continuous monitoring and gradual corrections while avoiding unnecessary aggressive interventions, thereby reducing false alarms while preserving safety improvements
Solution Approach 2:
The system continuously compares sensor measurements against dynamically updated safety parameters and preset conditions, using feedback loops to distinguish between genuine safety threats and normal variations in driving conditions. By implementing intelligent feedback mechanisms that adapt to contextual information and learn from patterns, the system can accurately differentiate between real hazards requiring intervention and benign conditions, thereby maintaining high safety standards while minimizing false alarms and unnecessary interventions
Data Source
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AI summary
A vehicle-mounted automatic drive control system comprises at least one sensor, a controller, and a drive control feedback portion. The at least one sensor is coupled to the controller. The drive control feedback portion is coupled to the controller. The at least one sensor is configured to detect at least one object in an environment of the first vehicle and to send a detection result to the controller. The controller is configured to transmit a control signal to the drive control feedback portion if the detection result satisfies a preset condition. The drive control feedback portion is configured, upon receiving the control signal from the controller, to perform an operation such that the first vehicle can adjust a first driving status thereof.