Taxi passenger-searching path recommendation method based on information entropy

The invention discloses a taxi passenger-searching path recommendation method based on information entropy. The steps include: mining a taxi track, and extracting passenger carrying point data therefrom; mining and extracting passenger-searching points representing passenger gathering places from the passenger carrying points obtained by extraction; measuring attribute values of factors according to which a taxi selects a passenger searching position in a passenger searching process; according to the current position and current time of the taxi, obtaining passenger searching points in a designated range, and building a passenger searching point selection model which includes a set of passenger searching points where the taxi can arrive departing from the current position at the current time and a decision matrix; solving the passenger searching point selection model based on information entropy, and obtaining a designated number of passenger searching points with optimal synthesized attributes; and using the passenger searching point obtained at the previous time as a reference point, repeatedly building and solving the models for a designated number of times, and generating a passenger searching path according to an obtaining level of optimal passenger searching points and recommending the path. The taxi passenger-searching path recommendation method based on information entropy has the advantages of being capable of bring good benefits to a taxi driver and being high in recommendation accuracy.