A system for comparing the difference between bus passenger flow and taxi passenger flow in a region based on a big data frame

Abstract

The invention relates to a system for comparing the difference between bus passenger flow and taxi passenger flow in a region based on a big data frame, which includes a data storage module, a data analysis module, a visual module; the data storage module stores and collects card swiping data of a bus card and GPS data of a taxi, The bottom layer of this module is the Hadoop cluster and used to save data to a cluster, The database is a hive database, the data analysis module is used for processing and analyzing two kinds of traffic data, The module relies on the hadoop framework of the big data family, and can quickly process large-scale traffic data. The visualization module is used for visually displaying the results obtained by the data analysis module, and the module can make it convenient to visually see the results of the data processing. The invention is applicable to the comparison of bus passenger flow and taxi passenger flow in the current urban system, and finds out the difference between the two passenger flows in the region, so as to solve the problem that the bus passenger flow and the taxi passenger flow are unbalanced in the region.

Description

technical field [0001] The invention is mainly oriented to the field of intelligent transportation, and is used for comparing the difference in space and time distribution of bus passenger flow and taxi passenger flow, and provides some new directions and ideas for the optimization of the bus line network. Background technique [0002] As an important travel mode of public transport, public transport has the characteristics of a large population base and a large proportion of public transport. As an important supplementary mode of public transport, taxi travel is an important supplementary mode of public transport travel. By analyzing the areas with strong demand for taxi travel, compare this area To analyze the level of public transport service in this area, [0003] In the traditional bus passenger flow analysis method, the bus service level is always judged by analyzing the relevant characteristics of the bus passenger flow from the bus itself. For example, in Applicatio...

AI Technical Summary

Problems solved by technology

[0004] The technical problem of the present invention is to overcome the deficiencies of the prior art, relying on the hadoop big data processing framework, based on data such as map data, bus card swiping data, taxi GPS data, etc., to provide a comparison of bus passenger flow and traffic in the area based on the big data frame

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