Traffic Signal Light Optimization Control Based on Fuzzy Control and CCD Camera Technology

Abstract

This paper combines the fuzzy control technology with Charge Coupled Device (CCD) camera sensor technology to solve the defect of the existing traffic signal control method. CCD camera sensor technology can be real-time to receive traffic information, each intersection traffic conditions, the length of the traffic flow, traffic speed, and then through the signal processor calculates the time needed for traffic through the intersection at the moment, transfer to the fuzzy controller. At this point, the traffic situation of the other road also reached the fuzzy controller in real time. The fuzzy controller decides which intersection should continue to pass, and finally realize the traffic signal optimization control.

Deep learning-based foreign object detection method for aviation runways

“…The literature [15] suggests that this system, which is considered the most reliable airport runway foreign body detection system in the world, is sufficient to inspect 100% of all flight runways, thus setting a new safety standard for FOD detection systems and has completed more than 6 million inspections and served more than 80 airlines in the last decade. Literature [16][17] proposed that CCD cameras, millimeter wave radar, and thermal imagers are foreign object detection devices widely used in airport runway foreign object identification systems, and each of these imaging devices has specific characteristics and is applied in different situations. Literature [18] proposed CCD camera is a CCD (charge-coupled device) based image sensor imaging device, which has the advantages of high sensitivity, long life, small size, small distortion, resistance to glare, vibration, etc.…”