Includes traffic flow data acquired from a network of Automatic Number Plate Recognition (ANPR) cameras and computed via the anprx python package. Using the anprflows R package, a spatio-temporal window is used to capture relevant traffic and spatial data around the epicentre of the traffic event.
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A list of events, each containing the following data:
nodes
ids of locations potentially affected by the incident
flows_l
tibble containing the number of vehicles passing through each of the locations during each time period
flows_od
tibble containing the number, speed statistics and other information of vehicles passing between each pair of locations during each time period
spatial
spatial data composed of several sf dataframes, cropped to the area of interest. Includes data about monitored locations, shortest paths between locations, the enclosing arterial and primary road networks and nearby amenities
network
asymptotic flow network computed over the chosen spatio-temporal window
hparams
values of the hyperparameters used to identify spurious flows and crop spatial features
incident
approximate point where incident or congestion was reported by traffic authorities
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