Traffic Patterns
Traffic patterns refer to the flow of vehicles, pedestrians, and other modes of transportation in a particular area over a period of time. In the context of data science and artificial intelligence, traffic patterns can be analyzed using various techniques such as machine learning algorithms, computer vision, and data mining to gain insights into traffic behavior, identify patterns, and predict future trends. This information can be used to optimize traffic flow, reduce congestion, and improve safety on roads. Traffic pattern analysis can also be used to inform urban planning and transportation infrastructure development.
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