Visual analysis method for potential factors of path selection based on online car-hailing trajectory

The invention discloses a visual analysis method for potential factors of path selection based on an online car-hailing trajectory, and the method comprises the following steps: obtaining a trajectory data point set of an online car-hailing order, matching a road network of each trajectory point, and obtaining the serial number of a road where the trajectory point is located; for each online car-hailing order, extracting the number of a road by which the online car-hailing of the order passes in the selected interval, converting the road number of each online car-hailing order into a road sequence, and calculating a similarity matrix of the road sequence; projecting by taking the obtained similarity matrix as input, extracting trajectory clusters with similar attributes, and extracting frequently appearing subsequences as key paths; counting influence factors related to driver path selection on each path, obtaining subjective selection of the user on the related factors of each path through a weight model, an