Analysis

The analysis module provides a variety of functions to analyze the mobility datasets computed by trackintel.

Triplegs

trackintel.analysis.transport_mode_identification.predict_transport_mode(triplegs, method='simple-coarse', **kwargs)

Predicts/imputes the transport mode that was likely chosen to cover the given tripleg, e.g., car, bicycle, or walk.

Parameters

method (str, {'simple-coarse'}, default 'simple-coarse') –

The following methods are available for transport mode inference/prediction: ‘simple-coarse’ : Uses simple heuristics to predict coarse transport classes.

These include {'slow_mobility', 'motorized_mobility', 'fast_mobility'}. In the default classification, slow_mobility (<15 km/h) includes transport modes such as walking or cycling, motorized_mobility (<100 km/h) modes such as car or train, and fast_mobility (>100 km/h) modes such as high-speed rail or airplanes. These categories are default values and can be overwritten using the keyword argument categories.