Adaptive Cruise Control Zone Speed Adjustment
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Solution Overview
Problem
Adaptive cruise control systems face challenges in dynamically controlling vehicle speed during cornering, especially in roundabouts, as existing methods struggle to accurately adjust speed based on the planned exit and vehicle position.
Innovation Solution
A system and method that divides a curve into zones, using navigation system data, GPS, environmental sensors, and vehicle-to-infrastructure communication to adjust speed based on the current location and intended exit, with sensors for steering angle and yaw rate to determine direction changes, allowing for adaptive speed control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle speed is controlled to be substantially constant through the curve, then the speed control is simplified, but the traversal time increases and productivity decreases
Solution Approach 1:
The curve is divided into multiple zones (first zone, second zone, third zone) along the travel direction. Each zone has different speed control requirements: the first zone allows higher speed, the second zone requires reduced speed, and the third zone permits speed increase again. This segmentation enables optimized traversal time while maintaining control simplicity within each zone.
Solution Approach 2:
The speed control system dynamically adjusts the target speed based on the detected current zone. The control unit changes the speed reference values according to the zone information, allowing the vehicle to accelerate in suitable zones and decelerate in critical zones, rather than maintaining a constant speed throughout the entire curve.
2Reliability
If the vehicle speed is reduced in the second zone to ensure safe traversal, then safety is improved, but the overall traversal time increases
Solution Approach 1:
The system detects the current zone in advance and proactively adjusts the target speed before the vehicle enters the second zone. By preparing the speed reduction beforehand and only applying it in the critical second zone, the system ensures safety while minimizing the total time spent at reduced speed.
Solution Approach 2:
Different speed control strategies are applied to different spatial zones of the curve. The first and third zones allow higher speeds with relaxed control, while only the second zone requires strict speed reduction. This localized quality approach ensures safety is improved where needed without unnecessarily reducing speed in safer zones.
3Productivity
If the system divides the curve into multiple zones and adjusts speed dynamically, then productivity is improved, but the device complexity increases
Solution Approach 1:
The control unit continuously detects the current zone based on vehicle position and compares it with the target zone information. This feedback mechanism allows the system to automatically adjust the target speed according to the current zone without requiring complex manual intervention or overly sophisticated control algorithms.
Solution Approach 2:
The control unit performs multiple functions: it detects the current zone, determines the target zone, calculates the target speed, and controls the actual speed. By consolidating these functions into a single control unit that handles all aspects of zone-based speed control, the system achieves high productivity without proportionally increasing overall device complexity.
4Measurement precision
If the system uses multiple sensors and navigation data to detect position and exit, then measurement precision is improved, but the device complexity increases
Solution Approach 1:
The system combines data from multiple sources including GPS receivers, on-board environmental sensors, optical imaging devices, and vehicle-to-infrastructure communication into a unified control system. By merging these diverse data sources and processing them together in the control unit, the system achieves high measurement precision while managing complexity through integrated processing rather than separate independent systems.
Data Source
AI summary
Controlling the speed of a motor vehicle with an adaptive cruise control system in a curve can include dynamically adjusting the speed of the motor vehicle depending on the planned exit from the roundabout and the current position of the motor vehicle.