![]() ![]() Many TLs remain undetected owing to the time difference between the detector, tracker, classifier, camera, and real-time. Traditional detection methods using GPS, cameras, and sensors have many problems and trade-offs. In addition, TLRs reduce the number of accidents and crowded vehicles. It is important to detect traffic lights in order to reduce the number of accidents caused by TL systems. Communication between the driver and smart traffic lights is required. Smart traffic lights can be used to support traffic information and smart driver decisions 3. Intelligent traffic organization at an intersection is required. It also reduces accidents, traffic jams, and pollution, which increase at intersections 2. Drivers’ hesitation to stop or go to yellow traffic lights can cause accidents 1.Įarly information on the traffic light status of a driver reduces the number of stops and urgent acceleration. This leads to high fuel consumption and air pollution. At intersections, traffic lights force drivers to accelerate suddenly when the traffic light turns green. ![]() Traffic jams are increasing at high rates in all countries, particularly at intersections. Based on testing, it has been determined that VTLR performs better than semi-automatic annotation, image processing with CNN, and ICFT in terms of delay, success ratio, and the number of detections per second. Information exchange as well as monitoring of the TL status, time remaining before a change, and recommended speeds are supported. This study used vehicular ad-hoc networks (VANETs) for VANET traffic light recognition (VTLR). Integrated channel feature tracking (ICFT) combines detection and tracking, but it does not support sharing information with neighbors. Data was not collected in harsh conditions, and tracking was not supported. A semi-automatic annotation for traffic light detection employs a global navigation satellite system, raising the cost of automobiles. Image processing with convolutional neural network (CNN) lakes dealing with harsh weather. TLR (traffic light recognition) reduces accidents and traffic congestion caused by traffic lights (TLs). ![]() Increasing road width and constructing roundabouts and bridges are solutions to car congestion, but the cost is significant. Car congestion can be caused by accidents, traffic lights, rapid accelerations, deceleration, and hesitation of drivers, as well as a small low-carrying capacity road without bridges. Car congestion is a pressing issue for everyone on the planet. ![]()
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