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A public transportation big data processing system and method

A technology of big data processing and public transportation, applied in the field of intelligent transportation system, can solve the problems of lack of organizational model, difficulty in applying the method to practice, and lack of association of public transportation data, etc., to achieve novel and unique model methods, ingenious design concepts, and broad market prospects Effect

Active Publication Date: 2021-03-16
QINGDAO UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The increasing amount of collected data provides the possibility for the optimization of the bus network, but there are still the following problems: (1) There is a lack of correlation between bus data, there is a problem of data islands, and there are various types of data, the data comes from different application systems, and the data is scattered. lack of an effective organizational model
(2) The optimization of public transport network lacks practical optimization methods
Although bus optimization has been studied in academia for a long time, the optimization method has gone through three stages: empirical routing method, system analysis method and traffic allocation method, but due to the complexity of the traffic problem itself, the existing methods have too many assumptions , and these assumptions cannot be satisfied in practice, which makes these methods difficult to use in practice
(3) With the continuous collection of data, in recent years, the optimization method based on data analysis has been gradually adopted, but the diversity of bus data and the complexity of the problem, the analysis method based on data mining only considers the analysis theme, ignoring the relationship between different topics (problems), which leads to lack of attention and difficulty in comprehensive analysis and optimization

Method used

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  • A public transportation big data processing system and method
  • A public transportation big data processing system and method
  • A public transportation big data processing system and method

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Experimental program
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Embodiment 1

[0026] A public transportation big data processing system and method involved in this embodiment are realized through the following technical schemes. The public transportation big data processing system is realized through the scheme, constructing a station sub-network, a line transfer sub-network, and a sub-network of the relationship between lines and stations , based on the provided network computing tools, the dynamic loading of the above three networks is realized to form a station-line composite complex network. There are two types of nodes in the site-line composite complex network, namely, stations and lines, and three types of relationship edges, respectively It is the adjacency relationship between stations, the transfer relationship between lines, and the ownership relationship between lines and stations; nodes and edges have attribute vectors, which represent various attributes of nodes and edges, such as the location, type, and distance between stations , the numb...

Embodiment 2

[0093] The construction process of this embodiment is the same as that of Embodiment 1. The data of bus No. 468 in Qingdao is used to construct a site network. The platform numbers corresponding to the sub-lines of the bus are missing, and some of them are discarded. Some sites lack latitude and longitude coordinates. According to the following Rule completion: If there is a station with the same latitude and longitude coordinates as the missing information station in the station information set, the missing information will be supplemented as the coordinates in the table. If it does not exist in the table, query the latitude and longitude coordinates to supplement. Add IS_ADD data, mark the station whose coordinate information has been changed as 1, and vice versa; the station numbers of some lines cannot correspond to the station numbers of dual programs, and have not been processed yet.

[0094] Table 1 Site network node description table

[0095]

[0096] Table 2 Stati...

Embodiment 3

[0105] The construction process of this embodiment is the same as that of Embodiment 1, and the line transfer network of Qingdao City is constructed. Network establishment needs to define the node set file and edge set file of the network. The node set file contains node ID and node attributes, and the edge set file contains edge ID, source node, destination node and other information and edge attribute data.

[0106] Table 3-4 gives the reference format for building a line transfer network, and the specific storage format is recommended to be csv format. The content format of the file is not fixed. In the node file, you only need to specify the ID of the node. In the edge file, you only need to explicitly specify the Source and Target attributes of the edge, which respectively indicate the source node and the target node pointed to by the edge. type The attribute indicates whether the network is directed or not, the default is undirected, and it is saved as an undirected edge...

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Abstract

The invention belongs to the technical field of intelligent transportation systems, relates to a public transportation big data processing system and method, for the urban public transportation network optimization. The specific method comprises the following steps of: (1) constructing a site network subsystem; (2) constructing a transfer network subsystem; (3) constructing a line site home network; (4) loading network, (5) retracting network, (6) performing an analysis on the big data system of the public transportation network. Compared with the prior art, the invention has the following beneficial effects of: firstly, in view of the data island for lack of relevance for public transportation data, an effective data organization and analysis model is provided, which can record, integrateand visually express the complex data relationships of lines, stations, passenger flows and traffic flows of public transportation networks; secondly, in view of the optimization of public transportation network, such as experience line method, system analysis method and traffic distribution method, the model method is novel and unique, the design concept is clever, the application environment isgood, and the market prospect is broad.

Description

Technical field: [0001] The invention belongs to the technical field of intelligent transportation systems, and relates to a public transportation big data processing system and method, which are used for urban public transportation network optimization. Background technique: [0002] Public transportation is an important part of urban transportation, an important way for urban residents to travel, and plays a very important role in alleviating urban traffic congestion. An efficient public transport system is inseparable from scientific and reasonable public transport network planning and bus scheduling, while scientific and rational public transport network planning and bus scheduling must be based on the analysis of the bus network structure and the spatial-temporal distribution and characteristics of bus passenger flow. based on the extraction. Taking Qingdao City as an example, there are currently 375 bus lines in the four districts of the city, and a complex bus networ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06Q10/06G06Q50/26
CPCG06Q10/063G06Q50/26G08G1/0125
Inventor 隋毅孙仁诚邵峰晶王常颖李淑静
Owner QINGDAO UNIV