Roundabout Collision Avoidance via Estimated Arrival Time
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Solution Overview
Problem
Conventional collision avoidance systems are inadequate for roundabouts, as they rely on V2X networks and cannot effectively prevent collisions between vehicles approaching from the lateral direction, and are limited in handling vehicles without inter-vehicle communication.
Innovation Solution
A collision avoidance control system utilizing a GPS receiver, navigation system, and sensor unit to determine the risk of collision by calculating an estimated collision point and adjusting vehicle speed based on the difference in arrival times of the vehicle and target vehicles, allowing or prohibiting entry into the roundabout based on determined risk levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional intersection collision avoidance systems are used at roundabouts, then collision prediction can be provided, but the systems cannot effectively prevent collisions with vehicles approaching from lateral directions and are limited to pre-constructed spaces with V2X network support
Solution Approach 1:
The system segments the roundabout environment into multiple detection zones (front, rear, left, right) and processes each zone independently using dedicated sensors. This segmentation allows the system to handle vehicles approaching from different directions, particularly lateral approaches that conventional systems miss, while maintaining functionality without V2X network dependency.
Solution Approach 2:
The collision avoidance system is designed to function universally across different intersection types (signalized intersections and roundabouts) and with different vehicle communication capabilities (V2X-supported and non-V2X vehicles). The system uses universal sensor-based detection that works regardless of whether target vehicles have V2X, making the system adaptable to diverse operational contexts.
2Reliability
If sensor units are added to detect target vehicles without V2X support, then collision detection coverage is improved, but system complexity increases
Solution Approach 1:
The system merges multiple sensor types (cameras, radar, LIDAR) into a unified sensor unit that performs both detection and ranging functions. This consolidation improves detection coverage for vehicles without V2X support while managing system complexity through integrated processing and shared control architecture.
Solution Approach 2:
The sensor unit performs self-calibration and automatic target identification without requiring external configuration or V2X communication. The system automatically detects vehicles, calculates collision risk, and adjusts detection parameters based on environmental conditions, reducing operational complexity while maintaining comprehensive coverage.
Data Source
AI summary
A collision avoidance control system and method are provided. The system includes a GPS receiver that obtains location information of a vehicle, a navigation system having map information, and a sensor unit that senses a target vehicle located near a roundabout. The sensor obtains traveling information of the target vehicle and forward view image information of the vehicle. A controller then calculates an estimated collision point based on the map information, the location information of the vehicle and the traveling information of the target vehicle to determine a risk of collision based on an absolute value of a difference between an arrival time of the vehicle to the estimated collision point and an arrival time of the target vehicle to the estimated collision point. The speed of the vehicle is then adjusted in response to the determined risk of collision.