Trajectory-data-based method and system for recommending taxi cruising path

Abstract

The invention provides a trajectory-data-based method and system for recommending a taxi cruising path. The method comprises: (1) network data are initialized and regional grid division is carried out; (2) according to historical trajectory data, a historical traffic charge is calculated; (3) with combination of real-time trajectory data, a traffic charge is calculated and updated; (4) when a taxi arrives at an intersection, a sub regional traffic electric field force applied on the taxi is calculated by using the traffic charge obtained at the step (3) based on an urban traffic Coulomb law, a road network data base is inquired to obtain all road sections of the current intersection, and one road section with the smallest included angle with the traffic electric field force direction is used as a recommended road section; and (5) during the driving process at the recommended road section, if the taxis does not pick up any passenger or the passenger gets off the taxi, the step (4) is carried out; and if the taxi picks up a passenger, recommendation is stopped temporarily. According to the invention, the method has a clear idea and the effect is obvious. The empty driving cruising of the taxi can be reduced and thus the earnings of the taxi driver can be increased; and the urban traffic efficiency can be improved.

Description

technical field [0001] The invention relates to a taxi cruising route recommendation method, in particular to a taxi cruising route recommendation method and system based on trajectory data. Background technique [0002] Taxis are an important way of urban transportation. Unlike other means of transportation, taxis do not follow a fixed route, but the driver himself plans the cruise route. Drivers traditionally rely on intuition and experience, making it difficult to plan a route that maximizes returns. With the widespread use of location-based services, taxis have begun to be equipped with positioning devices (such as GPS or Beidou navigation). These positioning devices will obtain the current location information of the taxi at a certain frequency to form trajectory data. These trajectory data can serve the route recommendation system of taxis, enabling taxi drivers to increase revenue and reduce no-load cruising. In recent years, ride-hailing software and service plat...

AI Technical Summary

Problems solved by technology

In addition, most of the existing taxi route recommendation methods are based on historical trajectory data, but not based on real-time trajectory data, and cannot respond to real-time traffic changes.

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