![]() ![]() ![]() DL methods, which have recently been widely used in almost every field, have been the subject of many scientific studies, while at the same time, they have provided some practical outputs that previously seemed impossible in our normal lives. Similarly, new artificial intelligence algorithms and methods including computer vision (CV), deep learning (DL), and machine learning (ML) extract desired information from live-stream videos. For example, Graphical Processing Units (GPU) with thousands of cores can process multiple video streams in parallel and produce expected results in real-time. Recent advancements make video-based systems possible to use in online traffic monitoring and management systems. These tasks can be performed with high success rates even on highways, where vehicles go very fast.Įarly solutions for the automatic traffic control systems were not able to extract all this information in real-time due to the lack of both hardware and software tools. ![]() Many kinds of traffic and environmental information can be extracted from traffic data collected via multiple cameras by the help of novel image processing algorithms such as object detection, object tracking, accident detection, speed detection, lane changes, registration plate identification, etc. On the other hand, digital video cameras can be used both roads and intersections, and the data can be collected by wired or air-based network. These sensors are usually installed on roads for speed detection or vehicle counting and require less pre-processing to obtain digital data comparing to cameras. Radar, Lidar, and RFID sensors are the other devices for traffic data gathering. Because, the traffic coordination is driven by appropriate phase switching of traffic lights and routing information on variable message signs via prediction feedbacks.Īs a result of the developments in image processing technologies, the use of low-cost cameras to obtain traffic data has become quite common recently. Accurate traffic predictions extensively depend on precise and timely collected traffic data. Traffic flow data can be collected from various types of sensors or cameras installed on roads within a region of interest. Collecting and processing real-time traffic flow data is an essential component of dynamic traffic flow control systems. ![]()
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