CN106844624A - A kind of visual public transport big data analysis system - Google Patents
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Abstract
The invention discloses a kind of visual public transport big data analysis system, belong to traffic big data application field, the visual public transport big data analysis system, by bus GPS equipment, the vehicle GPS data that swiping card equipment is collected, IC-card brushing card data and public bus network, the related datas such as bus station are real-time transmitted to big data analysis platform, make full use of cloud computing, big data is analyzed, internet, visualization technology, realize the visualization of bus real time position and number of people in car situation, system will send warning information after position of bus shifts or number of people in car exceedes certain threshold value；With reference to substantial amounts of data results, website is represented by visualization interface and is got on or off the bus passenger flow OD matrixes and public bus network link flow between number, website.The visual public transport big data analysis system, will precisely represent between bus real-time running state and bus station, the passenger flow situation of every public bus network.
Description
Technical field
The present invention relates to public transport data analysis and method for visualizing, especially a kind of visual public transport big data point
Analysis system, belongs to traffic big data application field.
Background technology
Bus transportation is the indispensable important part in a city, with continuing to develop for city, floating population
Be continuously increased, bus transportation is public service, and intensive effect is more and more obvious.Public transport as the window in city,
Undertaking for task is increasingly weighed, and improving for bus transportation system is extremely urgent.For big city, public bus network, public affairs
The planning for handing over website and public transport to arrange an order according to class and grade must be rationally effective.
However, because bus transportation system does not form precision, visual data analysis system, causing existing system
The quality of data it is poor.For example, public transport arrival time is inaccurate, a large amount of bus number of people in car in peak period are excessive, public bus network
Set the problems such as repetition, bus station set unreasonable and often occur.But when there are these problems, current bus transportation
System cannot timely pinpoint the problems and feedback problem, can so miss the Best Times and mode for solving traffic problems, easily
Cause passenger-traffic system normally to run to result even in whole city and traffic paralysis occur.
The method of traditional acquisition bus trip data often relies on on-the-spot investigation, but in the big data of today
Generation, urban transportation big data intelligent use system is arisen at the historic moment, but because public transport data class is various, changeable, the form of dynamic
Various, current public transport analysis system can not solve bus vehicle congestion, line adjustment and website and set unreasonable etc. asking
Topic.Meanwhile, a city upblic traffic station is hundreds of or thousand meters, effective public transport Visualized Analysis System be also one not
Hold the problem ignored, but current incomplete visualization system can not meet demand.
For existing public transport data are inaccurate and not good the brought a variety of drawbacks of effect of visualization, the present invention is proposed
A kind of visual public transport big data analysis system.Using big data analysis and visualization technique, to user with the side of visualization
Formula Dynamic Display bus real time position, website are got on or off the bus number, number of people in car situation, passenger flow OD matrixes and public bus network section
Flow, alarm, related personnel are sent when there is excessive website number, vehicle off-track or number of people in car more than certain threshold value
Abnormal conditions can rapidly be processed.The present invention also provides data supporting to public bus network planning and bus station addressing.
The content of the invention
For the defect that above-mentioned prior art is present, the present invention provides a kind of visual public transport big data analysis system,
The public transport big data for being used mainly includes vehicle GPS data, IC-card brushing card data and public bus network, station data, analysis
Include that bus real time position, website are got on or off the bus number, number of people in car situation, passenger flow OD matrixes and public transport with visual result
Circuit link flow.Mainly include following steps：1）The extraction of public transport big data, it includes vehicle GPS data, IC-card brush
Card data and public bus network, station data；2）The determination of bus movement locus, using public bus network, bus station and GPS
Data, describe the motion state of bus；3）Public transit system data analysis, including bus is got on or off the bus number, number of people in car, visitor
Stream OD matrixes and public bus network link flow；4）Public transit system visualize, by visualization interface represent bus real time position,
Website is got on or off the bus number, number of people in car situation, passenger flow OD matrixes and public bus network link flow.
Concrete technical scheme of the invention is as follows：
Step 1, the extraction of public transport big data
Public transport big data of the present invention mainly includes vehicle GPS data, IC-card brushing card data and public bus network, website
Data.Using the stream process ability of big data platform, realize that the multiple car-mounted terminal such as vehicle-mounted GPS equipment, swiping card equipment is collected
The collecting of real time data.
Step 2, the determination of bus movement locus
By public transport real-time GPS data and road network, and public bus network, bus station data are combined, determine that public transport is transported in real time
Move place circuit and pass through each website time.
Step 3, public transit system data analysis
The data to be analyzed of the invention have website to get on or off the bus number, number of people in car, passenger flow OD matrixes and public bus network section stream
Amount, specific practice is as follows：
Step 3.1, the bus running circuit obtained to step 2 and information of missing the stop, with reference to IC-card charge time, using cluster point
Analysis method obtains the number of getting on the bus of swiping the card of each website；
Step 3.2, according to website get on the bus number, land status, passenger's average trip distance in the range of 500 meters of website periphery, stand
Point transfer number of, lines determines that website is got off probability matrix, gets on the bus number using website and website is got off probability matrix, it is determined that station
Put number of getting off；
Step 3.3, before current location number of people in car subtracts current location for the number of getting on the bus of all websites before current location
The number of getting off of all websites；
Step 3.4, using the probability matrix of getting off of each website：The passenger flow obtained between each two website exchanges situation, by folded
Plus, obtain passenger flow OD matrixes between website；
The bus number of people in car sum of all processes in the time is specified in step 3.5, every circuit section of statistics, obtains public transport line
Road link flow.
Step 4：Public transit system is visualized
The present invention represents bus real time position, website and gets on or off the bus number, number of people in car situation, passenger flow OD by visualization interface
Matrix, public bus network link flow, specific practice are as follows：
Step 4.1, the data obtained using step 2, with reference to GIS map, show bus real time position and information of missing the stop, and work as public affairs
When handing over truck position to deviate set public bus network, system sends alarm；
Step 4.2, using step 3.1 and 3.2 data for obtaining, with reference to the station information of the displaying of step 4.1, shows that each is stood
The number situation of getting on or off the bus of point；
Step 4.3, the data obtained using step 3.3, with reference to the bus positional information of the displaying of step 4.1, show each
The number of people in car at bus each moment, when bus number of people in car exceedes certain threshold value, system sends alarm；
Step 4.4, the data obtained using step 3.4, with reference to GIS, the passenger flow between displaying each two bus station exchanges situation；
Step 4.5, the data obtained using step 3.5, with reference to GIS, show every bus transportation flow in section.
The beneficial effects of the invention are as follows：The visual public transport big data analysis system, integrates public transportation system various
Data, using big data analysis and visualization technique, to user's Dynamic Display bus real time position, website get on or off the bus number,
Number of people in car, passenger flow OD matrixes and public bus network link flow, when there is website number excessive, vehicle off-track or vehicle occupant
Number sends alarm when exceeding certain threshold value, and related personnel can rapidly process abnormal conditions.The visual public transport big data point
Analysis system system can also be sent out when the set public bus network of bus deviation or bus number of people in car exceed certain threshold value
Go out alarm.
Brief description of the drawings
Fig. 1 is visual public transport big data analysis system general flow chart of the invention.
Specific embodiment
Feature of the invention and other correlated characteristics are described in further detail below in conjunction with accompanying drawing.
As shown in figure 1, the present invention provides a kind of visual public transport big data analysis system, the public transport big data for being used
Mainly include vehicle GPS data, IC-card brushing card data and public bus network, station data, analysis and visual result include
Bus real time position, website are got on or off the bus number, number of people in car situation, passenger flow OD matrixes and public bus network link flow.Mainly
Including following steps：1）The extraction of public transport big data, it includes vehicle GPS data, IC-card brushing card data and public transport line
Road, station data；2）The determination of bus movement locus, using public bus network, bus station and gps data, describes bus
Motion state；3）Public transit system data analysis, including bus is got on or off the bus number, number of people in car, passenger flow OD matrixes and public transport
Circuit link flow；4）Public transit system is visualized, and representing bus real time position, website by visualization interface gets on or off the bus people
Number, number of people in car situation, passenger flow OD matrixes and public bus network link flow.
By taking the tunnel public transport uplink of Chengdu 1 as an example, 2.0 yuan of full fare carries out one-stop charge-by-card of getting on the bus.
Step 1, the extraction of public transport big data
Obtain circuit, station data and certain day morning peak period of the tunnel public transport uplink of Chengdu 1（7:00-10:00）Institute
There are gps data, the IC-card brushing card data of bus, wherein comprising 39 gps datas and 2955 records of swiping the card of car.
Step 2, the determination of bus movement locus
By public transport real-time GPS data and road network, and public bus network, bus station data are combined, determine that public transport is transported in real time
Move place circuit and pass through each website time.
Step 3, public transit system data analysis
The data to be analyzed of the invention have website to get on or off the bus number, number of people in car, passenger flow OD squares and public bus network link flow,
Specific practice is as follows：
Step 3.1, the bus running circuit obtained to step 2 and information of missing the stop, with reference to IC-card charge time, using cluster point
Analysis method obtains the number of getting on the bus of swiping the card of each website, as shown in table 1；
Table 1
Step 3.2, according to website get on the bus number, land status, passenger's average trip distance in the range of 500 meters of website periphery, stand
Point transfer number of, lines determines that website is got off probability matrix, gets on the bus number using website and website is got off probability matrix, it is determined that station
Number of getting off is put, as shown in table 2；
Table 2
Step 3.3, before current location number of people in car subtracts current location for the number of getting on the bus of all websites before current location
The number of getting off of all websites；
Step 3.4, using the probability matrix of getting off of each website：The passenger flow obtained between each two website exchanges situation, by folded
Plus, passenger flow OD matrixes between website are obtained, as shown in table 3；
Table 3
The bus number of people in car sum of all processes in the time is specified in step 3.5, every circuit section of statistics, obtains public transport line
Road link flow.
Step 4：Public transit system is visualized
The present invention represents bus real time position, website and gets on or off the bus number, number of people in car situation, passenger flow OD by visualization interface
Matrix and public bus network link flow, specific practice are as follows：
Step 4.1, the data obtained using step 2, with reference to GIS map, show bus real time position and information of missing the stop, and work as public affairs
When handing over truck position to deviate set public bus network, system sends alarm；
Step 4.2, using step 3.1 and 3.2 data for obtaining, with reference to the station information of the displaying of step 4.1, shows that each is stood
The number situation of getting on or off the bus of point；
Step 4.3, the data obtained using step 3.3, with reference to the bus positional information of the displaying of step 4.1, show each
The number of people in car at bus each moment, when bus number of people in car exceedes certain threshold value, system sends alarm；
Step 4.4, the data obtained using step 3.4, the passenger flow between displaying each two bus station exchanges situation；
Step 4.5, the data obtained using step 3.5 show every bus transportation flow in section.
Claims (5)
1. a kind of visual public transport big data analysis system, it is characterised in that including：1）Using the stream process of big data platform
Ability, realizes that the real time data that multiple car-mounted terminals are collected is collected；2）Using GPS road network technology combinations public bus network,
Bus station data, describe the motion state of bus；3）Using big data analytical technology, various public transport operation state ginsengs are realized
Several extractions；4）Using big data visualization technique, realize that the variation of public transport operation state parameter represents.
2. visual public transport big data analysis system according to claim 1, it is characterised in that described car-mounted terminal
Including vehicle-mounted GPS equipment and IC-card swiping card equipment, the data collected include real-time vehicle GPS data and IC-card brushing card data with
And current public bus network and bus station data.
3. visual public transport big data analysis system according to claim 1, it is characterised in that described bus fortune
The description of dynamic state includes that circuit, bus real time position, bus where bus miss the stop information, bus turnaround on airport
Deng.
4. visual public transport big data analysis system according to claim 1, it is characterised in that described public transport operation
State parameter is got on or off the bus number, number of people in car, passenger flow OD matrixes, public bus network link flow, specific extracting method including website
It is as follows：
Step 3.1, the bus running circuit obtained to step 2 and information of missing the stop, with reference to IC-card charge time, using cluster point
Analysis method obtains the number of getting on the bus of swiping the card of each website；
Step 3.2, according to website get on the bus number, land status, passenger's average trip distance in the range of 500 meters of website periphery, stand
Point transfer number of, lines determines that website is got off probability matrix, gets on the bus number using website and website is got off probability matrix, it is determined that station
Put number of getting off；
Step 3.3, before current location number of people in car subtracts current location for the number of getting on the bus of all websites before current location
The number of getting off of all websites；
Step 3.4, using the probability matrix of getting off of each website：The passenger flow obtained between each two website exchanges situation, by folded
Plus, obtain passenger flow OD matrixes between website；
The bus number of people in car sum of all processes in the time is specified in step 3.5, every circuit section of statistics, obtains public transport line
Road link flow.
5. visual public transport big data analysis system according to claim 1, it is characterised in that described public transport operation
The variation of state parameter represents gets on or off the bus number, number of people in car situation, passenger flow OD squares including bus real time position, website
Battle array, the visualization of public bus network link flow, specific practice are as follows：
Step 4.1, the data obtained using step 2, with reference to GIS map, show bus real time position and information of missing the stop, and work as public affairs
When handing over truck position to deviate set public bus network, system sends alarm；
Step 4.2, using step 3.1 and 3.2 data for obtaining, with reference to the station information of the displaying of step 4.1, shows that each is stood
The number situation of getting on or off the bus of point；
Step 4.3, the data obtained using step 3.3, with reference to the bus positional information of the displaying of step 4.1, show each
The number of people in car at bus each moment, when bus number of people in car exceedes certain threshold value, system sends alarm；
Step 4.4, the data obtained using step 3.4, with reference to GIS map, the passenger flow between displaying each two bus station is exchanged
Situation；
Step 4.5, the data obtained using step 3.5, with reference to GIS map, show every bus transportation flow in section.
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