Method for acquiring taxi-hailing hot spot based on taxi GPS data

Abstract

The invention discloses a method for acquiring a taxi-hailing hot spot based on taxi GPS data, and belongs to the field of intelligent traffic. The method comprises that: a taxi GPS record set in a period of time is acquired, and a record subset with occurrence of passenger getting on / off and empty taxi stoppage is selected from the record set; grids in which all GPS records in the record subset reside are confirmed, and number of times of occurrence of passenger getting on / off and empty taxi stoppage in each grid is acquired; hot spot grids are selected and spatially clustered; and taxi-hailing popularity of the hot spot grids is confirmed. With application of the method, searching of a surrounding empty taxi is facilitated for passengers, or the passengers are prompted to travel in other modes in case of no sufficient taxis so that travel time and cost of the passengers are saved, and thus operation efficiency of a taxi system and even the whole urban traffic system is enhanced.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a taxi-hailing hotspot acquisition method based on taxi GPS data. Background technique [0002] In recent years, with the rapid development of the economy and the continuous improvement of people's income level, taking a taxi has developed from the previous niche consumption behavior to the current mass consumption behavior. In some large and medium-sized cities in China, although public transportation is developing rapidly, it is still not perfect, especially during the morning and evening peak hours. The poor bus ride experience has caused people's demand for taxis to continue to rise. However, with the increase in demand, the effective supply of taxis has not increased simultaneously, but has shown a downward trend because the transport capacity has not been fully utilized. In some large and medium-sized cities across the country, "difficulty in getting a taxi" has b...

AI Technical Summary

Problems solved by technology

[0004] At present, there is no effective method that can provide the spatio-temporal law of the distribution of empty taxis in the urban road network, and give the location of taxi hotspots in the city within a specific period of time, so as to help passengers find the surrounding empty taxis, or remind passengers in time. Car occupants travel by other means when taxis are scarce

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