Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Recognition and inspection method of bus stop and boarding station based on multi-source data mining

A technology of multi-source data and inspection methods, applied in the direction of traffic flow detection, etc., can solve the problems of narrow application range, low accuracy of identification and discrimination, and inability to meet the needs of engineering applications, and achieve high matching accuracy and high matching rate.

Active Publication Date: 2021-07-09
HUAQIAO UNIVERSITY
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The technical problem to be solved by the present invention is to provide a multi-source data mining bus stop identification and inspection method, which can solve the common bus stop identification and transfer behaviors existing in the prior art The accuracy of recognition and discrimination is low, the scope of application is narrow, and it cannot meet the needs of actual engineering applications

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Recognition and inspection method of bus stop and boarding station based on multi-source data mining
  • Recognition and inspection method of bus stop and boarding station based on multi-source data mining
  • Recognition and inspection method of bus stop and boarding station based on multi-source data mining

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0279] This example uses the IC card swiping data and conventional bus satellite positioning information data in xx city in January 2018 as an example to analyze and identify and inspect the boarding and alighting stations of conventional buses. There are a total of 45,032,397 records of conventional bus swiping card data, and the data files are stored in the dmp format of the Oracle database. The data files are composed of 11 fields (as shown in Table 2); there are 311,080,161 records in the satellite positioning information data, and the data files are stored in the dmp format of the Oracle database. , the data file consists of 22 fields (as shown in Table 3); the BRT bus card data is provided by the xx City Transportation Bureau, which is the bus card data of xx city in January 2018, with a total of 13,268,640 records, and the data file adopts the dmp format of the Oracle database Storage, the data file consists of 5 fields (as shown in Table 4); the subway card swiping data...

Embodiment 2

[0304] This example uses the IC card swiping data and conventional public bus satellite positioning information data in xx city in January 2018 as an example to analyze, and identifies the boarding station (such as figure 2 ). There are a total of 45,032,397 records of conventional bus card swiping data, the data files are stored in dmp format, and the data files are composed of 11 fields (as shown in Table 10); the satellite positioning information data has a total of 311,080,161 records, the data files are stored in dmp format, and the data files are composed of 22 Field composition (see Table 11).

[0305] Table 10 Composition table of bus credit card data

[0306] name Types of Remark SHGSD VARchar2(15) wxya VARchar2(10) line number CLBHZ VARchar2(10) vehicle number ZDDMZ VARchar2(8) BYZGR VARchar2(16) KHZZZ VARchar2(21) Swipe card number wxya VARchar2(8) wxya VARchar2(8) QUR cha...

Embodiment 3

[0316] This example uses the IC card swiping data and conventional public bus satellite positioning information data in January 2018 in xx city as an example to analyze, and performs alighting station matching on the records of known boarding stations of conventional buses (such as image 3 ). There are a total of 45,032,397 records of conventional bus card swiping data, and the data files are stored in the dmp format of the Oracle database. , the data file consists of 22 fields (as shown in Table 15); the BRT bus card data is provided by the xx City Transportation Bureau, which is the bus card data of xx city in January 2018, with a total of 13,268,640 records, and the data file adopts the dmp format of the Oracle database Storage, the data file consists of 5 fields (as shown in Table 16); the subway card swiping data is provided by the xx City Transportation Bureau, which is the bus swiping data of xx city in January 2018, with a total of 3,252,269 records, and the data file...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a multi-source data mining method for identifying and checking bus stops, including IC card swiping and operating vehicle data of conventional buses, and performing IC card swiping passenger boarding site identification based on clustering and correlation analysis; IC card swiping and operating vehicle data of buses, BRT and subways, identification of alighting stations based on the IC card swiping passenger travel chain composed of conventional buses, BRT, and subways; IC card swiping based on historical ride records for data of unidentified alighting stations Passenger alighting station identification; IC card swiping passenger alighting station identification based on Bayesian posterior maximum likelihood estimation for the data that has not yet identified the alighting station; IC based on paired sample t-test for the data that matches the boarding station Passenger card swiping boarding station identification inspection; IC card swiping passenger alighting station identification inspection based on transfer behavior recognition based on the data of the matching alighting station. The method of the invention has wide application range and high site identification accuracy.

Description

technical field [0001] The invention relates to the field of bus information data processing, in particular to a multi-source data mining bus stop identification and inspection method. Background technique [0002] With the upgrading and renewal of public transportation-related technologies and equipment, the popularization of bus card systems, and the increase in the use of IC cards, a large number of passenger IC card swiping data and satellite positioning information data provide feasibility for the analysis of public transportation data. Based on the complete travel data of passengers obtained from multi-source data mining of passenger IC card swiping data, the OD matrix of public transport passengers can be quickly and dynamically obtained, and these OD matrices can be used for bus route adjustment and network optimization, The design of connecting lines, research on transfer policies, and passenger flow characteristics (passenger flow corridors, distribution centers, p...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
Inventor 王成崔紫薇陈德蕾
Owner HUAQIAO UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com