Recommendation method, system and client for taking taxi

Abstract

The present invention provides a recommendation method, system and client for taking a taxi. Recommending a path where a user can conveniently take the taxi under the condition of being difficult for taking a taxi is implemented. The method comprises the steps of: according to driving data of the taxi, acquiring the taxi passing amount and the taxi vacancy rate of any path element in a preset time period; acquiring current location and current time of the user and a current path element corresponding to the current location; selecting the path element in the preset time period at the current time as a recommended path element; according to the journey from the current path element to the recommended path element and the taxi passing amount and the taxi vacancy rate corresponding to each recommended path element, calculating a riding recommendation weight value corresponding to the each recommended path element; and recommending a preset number of the path elements corresponding to the riding recommendation weight value. According to the method provided by the present invention, recommending the path element where the user can conveniently take the taxi accurately is implemented, the efficiency of taking the taxi is improved, and the time required by taking the taxi is conserved.

Description

technical field [0001] The invention relates to a recommending method, system and client for taking a taxi. Background technique [0002] For the convenience of travel, many people choose to take a taxi, and the parking location of the taxi is not only restricted by traffic rules, but also affected by road traffic congestion. In order to grab time to carry more passengers, taxi drivers usually It will bypass the congested road during peak hours and need to find a fast lane. Then, it becomes more difficult for passengers to take taxis in congested sections during peak hours, which not only seriously affects the travel of passengers, but also takes a lot of time to wait for the bus; and the efficiency of passengers taking taxis is also particularly low. [0003] The patent document with the application number of 201210580716.4 discloses a method for recommending taxi passenger pick-up points based on spatiotemporal clustering. By reading the GPS data of the taxi in a selected...

AI Technical Summary

Problems solved by technology

[0004] The above method is aimed at the taxi terminal, and recommends places where taxi drivers often carry passengers, so that the driver can obtain customers; and the above method only determines the places with a lot of passengers, not the same as the places in the empty state. Locations where there are many taxis, therefore, it is still impossible to solve the problem of difficulty in hailing taxis for travel users

Images