Traffic Flow
Traffic flow refers to the study of the movement of vehicles, pedestrians, bicycles, and other transportation modes through a transportation network. In data science, traffic flow analysis involves the collection, processing, and analysis of data related to traffic patterns, including traffic volume, speed, and density. This data is often collected through sensors, cameras, and other monitoring devices, and can be used to optimize traffic flow, improve safety, and reduce congestion. Machine learning algorithms can be applied to this data to predict traffic patterns and optimize traffic signal timing. Additionally, data visualization techniques can be used to display traffic flow data in a way that is easily understandable to transportation planners and policymakers.
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