CN108551650A - A kind of bus passenger flow harvester and passenger flow statistical method - Google Patents
A kind of bus passenger flow harvester and passenger flow statistical method Download PDFInfo
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- CN108551650A CN108551650A CN201810264530.5A CN201810264530A CN108551650A CN 108551650 A CN108551650 A CN 108551650A CN 201810264530 A CN201810264530 A CN 201810264530A CN 108551650 A CN108551650 A CN 108551650A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C9/00—Individual registration on entry or exit
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/133—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams within the vehicle ; Indicators inside the vehicles or at stops
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/40—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
- H04W4/42—Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for mass transport vehicles, e.g. buses, trains or aircraft
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L2101/00—Indexing scheme associated with group H04L61/00
- H04L2101/60—Types of network addresses
- H04L2101/618—Details of network addresses
- H04L2101/622—Layer-2 addresses, e.g. medium access control [MAC] addresses
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Abstract
In order to solve the problems, such as that existing acquisition passenger flow data method acquisition data class is on the low side, precision is not high, a kind of bus passenger flow harvester of present invention offer and passenger flow statistical method belong to bus passenger flow statistical technique field.The harvester includes：MAC Address scan module obtains the MAC Address and signal strength of mobile terminal for scanning the mobile terminal in setting range；GNSS locating modules, for longitude and latitude where obtaining bus and positioning time stamp；Microprocessor, for controlling MAC Address scan module and the work of GNSS locating modules.Harvester is installed on bus by the present invention；The passenger flow statistical method：Reaching the standard grade based on mobile terminal of the timestamp sequencing acquisition with identical MAC Address and offline place longitude and latitude；Location matches are carried out to putting along public transport again, the most short person of cut-off linear distance is that corresponding mobile terminal is got on or off the bus website, and then counts passenger flow.
Description
Technical field
The present invention relates to a kind of information collecting device, more particularly to a kind of bus passenger flow harvester and passenger flow statistics side
Method belongs to bus passenger flow statistical technique field.
Background technology
Passenger flow is the important evidence of bus dispatching operation and planning.The space for being essentially characterized in that it of public bus network passenger flow
With the inhomogeneities of Annual distribution, passenger flow feature not only influences the organization of driving in city and interurban coach passenger traffic, and
And also affect its long-range passenger traffic planning.In time, bus passenger flow data are accurately obtained, Trip distribution rule is grasped, can be
The applications such as Public transport network planning, assessment railroad embankment, the scheduling of realization regional dynamics, go-outside for civilian by bus service provide basis branch
Support.
Currently, both at home and abroad main bus passenger flow acquisition method have it is following several：Bus passenger flow manual research utilizes public transport
IC card carries out bus passenger flow statistics, the bus passenger flow statistical system based on video, automatic passenger counting system.
Bus passenger flow manual research is to use most common public transport collecting method, is had the advantages that flexible, easy-operating.
But manual research is very cumbersome and labor intensive, financial resources a job, in actual operating process, it is desirable to accomplish through
Perseverance, repeatability, while ensureing that accuracy is more difficult, investigation objective factor influences big.In addition, manual research cannot be scheduling
Center provides real-time data, can not provide long term data.In investigation preparation stage and last phase tidying up data phase, need to exchange
It looks into personnel and carries out a large amount of organization work.The accuracy of investigation result, timeliness, promptness are far from meeting bus dispatching, rule
It draws and waits related works
Bus passenger flow investigation is carried out using bus IC card：IC card information amount is big and comprehensive, technically simple maturation, by IC
The data-interface of card carries out system design, can obtain the data such as the time of passenger getting on/off, website of getting on or off the bus, can also pass through
Data are analyzed to obtain bus passenger trip relevant information, including average travel number, origin and destination distribution, average transfer time
Number, the time-consuming, trip distance of trip etc..According to IC card information analysis, acquired passenger's trip information speculates, this public transport
The outstanding feature of passenger flow investigation method is technically simple reliable, and cost is relatively low, and can track understanding according to IC card information and multiply
The objective abundant information such as circuit of riding.Its shortcoming is that the passenger without using IC card cannot be counted, and most domestic
City is all the swiping card mode (get on the bus and swipe the card, get off and do not swipe the card) used, can not thus obtain that get-off stop, get off people
The information such as number also need to obtain for Resident Trip Characteristics analysis.
The operation principle of bus passenger flow investigation method is investigated based on image recognition is：Video camera is installed at doorway of getting on or off the bus
To obtain video image, analyzing processing is carried out to image by software, passenger and its movement are identified, to automatically to the people that gets on or off the bus
Number and direction are counted.But the statistical accuracy of this technology is heavily dependent on the design water of image analysis software
Flat, system is also easy to the interference of vibrated, light and temperature.Since the quality of picture quality can largely influence software point
The precision of analysis result causes system cost higher, answers so needing the picture pick-up device of high quality and powerful image-capable
It is limited with range
Automatic passenger counting (APC) be can the detection modes such as excessively infrared, pressure collect passenger getting on/off time and ground automatically
The effective ways of point.Its detection technique used includes mainly pressure plare, Photoelectric Detection, pneumatic tyre weight detecting etc..It is adjusted with artificial
It looks into compare and can more economical, more accurately obtain a large amount of passenger flow data, but also life can be combined with other information systems
At some useful report files.But since the docking that the system is related to multiple systems uses, operating environment is wanted with cost
The higher that is bound to is sought, the data information of system acquisition is more single in addition, such as passenger's trip origin and destination distribution, travel time, trip
Distance, passenger's attribute, transfer time and place etc. can not then provide corresponding data reference.
Bus dispatching, Public transport network planning or even Urban Traffic Planning work are required for bus passenger flow data to do decision branch
It holds.Usual bus passenger flow data are using passenger flow acquisition mode acquisition analyzed above, but the passenger flow that these methods are acquired
Data can not be transmitted to dispatching control center in time, and in period commuter rush hour the acquired passenger flow data of some acquisition methods
Precision it is not high, application be very restricted.
Invention content
Obtain that data class is on the low side, precision is not high the purpose of the present invention is to solve existing acquisition passenger flow data method
Problem, a kind of bus passenger flow harvester of present invention offer and passenger flow statistical method.
A kind of bus passenger flow harvester of the present invention, the harvester are mounted on bus, the harvester
Including MAC Address scan module, GNSS locating modules and microprocessor；
MAC Address scan module obtains the mobile terminal on bus for scanning the mobile terminal in setting range
MAC Address and signal strength；
GNSS locating modules, for longitude and latitude and positioning time where obtaining bus；
Microprocessor, for controlling MAC Address scan module and the work of GNSS locating modules, by MAC Address scan module
The data obtained with GNSS locating modules are sent to host computer.
Preferably, the harvester further includes offline storage module；
Offline storage module, the data obtained for storing MAC Address scan module and GNSS locating modules.
Preferably, the harvester further includes：Fixed router is set in the initial point and terminal of public bus network, offline
Memory module automatically accesses the fixed router, and the data of storage are uploaded to host computer by the fixed router.
Preferably, described device further includes remote data transmission module；
Remote data transmission module, the data for obtaining MAC Address scan module and GNSS locating modules are periodical
Be uploaded to host computer.
The bus passenger flow harvester and passenger flow statistical method, described method includes following steps：
Step s11：According to MAC Address scan module obtain data, by the mobile terminal with identical MAC Address according to
Timestamp is ranked up；
Step s12：According to the data that GNSS locating modules obtain, the initial on-line time T of each mobile terminal is obtainedon、
Reach the standard grade place longitude LONon, reach the standard grade place latitude LATon, final Offtime Toff, offline place longitude LONoffWith offline
Point latitude LAToff；
Step s13：According to initial on-line time TonWith final Offtime Toff, obtain each mobile terminal it is online when
Long Tbus；Tbus=Toff-Ton
Step s14：According to the place longitude LON that reaches the standard gradeon, reach the standard grade place latitude LATon, offline place longitude LONoffWith under
Line place latitude LAToffObtain the online air line distance D of each mobile terminalbus；
Step s15：For by TbusWith online hours threshold value TbusComparison, DbusWith online air line distance threshold value DonlineIt is right
Than judging whether each mobile terminal belongs to the mobile terminal in vehicle；
Step s16：Mobile terminal in vehicle is analyzed, bus passenger flow OD information is obtained, carries out passenger flow statistics.
The step s14 includes：
To reach the standard grade place longitude LONon, reach the standard grade place latitude LATon, offline place longitude LONoffWith offline place latitude
LAToffThe rectangular co-ordinate in reach the standard grade place and offline place is converted to by Gauss Kru＆4＆ger projection；
Euclidean distance is sought by the rectangular co-ordinate in reach the standard grade place and offline place, obtains online air line distance Dbus。
The present invention gives one kind and seeking online air line distance DbusMethod, the online air line distance Dbus：
Wherein, Dlat0.00001For air line distance when down town latitude changes 0.00001 degree where bus, being separated by；
Dlon0.00001For air line distance when down town longitude changes 0.00001 degree where bus, being separated by；Dlat0.00001With
Dlon0.00001For constant.
The present invention gives a kind of the bus passenger flow harvester and passenger flow statistical method, includes the following steps：
Step s21：Public bus network, website and location information where obtaining bus；
Step s22：Centered on the longitude and latitude of website, effective address region delimited, the triggering region of each website is obtained；
Step s23：When the data obtained according to GNSS locating modules determine that bus enters triggering region, start MAC
Address scan module is scanned, and obtains the mobile terminal scanned；
Step s24：The mobile terminal that two neighboring website is triggered to scanned in regions compares, and seeks intersection, the intersection
For in vehicle mobile terminal；
Step s25：Mobile terminal in vehicle is analyzed, bus passenger flow OD information is obtained, carries out passenger flow statistics.
The public bus network, website and location information include：Line number, each Site IDi, each site name, each website warp
Degree and each website latitude；
The information for triggering region includes each Site IDi, triggering respective site longitude range (LONi-Δloni, LONi+Δ
loni), triggering respective site latitude scope (LATi-Δlati, LATi+Δlati), LONiIndicate the longitude of i-th of website；
ΔloniIndicate effective threshold value of i-th of website longitude, Δ latiIndicate effective threshold value of i-th of website longitude, LATiI-th
The latitude of website, IDiIndicate the coding of i-th of website.
The present invention gives a kind of the bus passenger flow harvester and passenger flow statistical method, and the method includes as follows
Step：
Step s31：Public bus network, website and location information where obtaining bus；
Step s32：The MAC Address that AP is nearby fixed to bus station records；
Step s33：When the MAC Address of record starts MAC Address scan module in a manner of triggering or close, MAC Address is swept
It retouches module to be scanned, obtains the mobile terminal scanned；
Step s34：The mobile terminal that two neighboring website is triggered to scanned in regions compares, and seeks intersection, the intersection
For in vehicle mobile terminal；
Step s35：Mobile terminal in vehicle is analyzed, bus passenger flow OD information is obtained, carries out passenger flow statistics.
The mobile terminal in vehicle is analyzed, and is obtained bus passenger flow OD information, is included the following steps：
Step s41：Public bus network, website and location information where obtaining；
Step s42：It respectively stands according on the longitude and latitude and public bus network that place initially occurs in the MAC Address of vehicle mobile terminal
It is website of getting on the bus that air line distance, the shortest website of air line distance are asked in the position of point；
Step s43：It respectively stands according on the longitude and latitude and public bus network that place finally occurs in the MAC Address of vehicle mobile terminal
It is get-off stop that air line distance, the shortest website of air line distance are asked in the position of point；
Step s44：Obtain bus passenger flow OD information, including the MAC Address for mobile terminal of getting on the bus, it is corresponding get on or off the bus the time and
It gets on or off the bus website.
Above-mentioned technical characteristic may be combined in various suitable ways or be substituted by equivalent technical characteristic, as long as can reach
To the purpose of the present invention.
The beneficial effects of the present invention are harvester is installed on bus by the present invention；Start MAC Address and scans mould
Block is obtained in vehicle passenger's mobile phone MAC Address, wireless signal strength；Based on GNSS locating modules obtain longitude and latitude location information and
Timestamp；The place longitude and latitude of initially reaching the standard grade of the mobile terminal with identical MAC Address is obtained based on timestamp sequencing, and
Final offline place longitude and latitude；Starting point longitude and latitude position is subjected to location matches to being put along public transport, cut-off linear distance is most short
Person is that corresponding mobile terminal is got on or off the bus website.Meanwhile it being interfered using timestamp and positioning information fusion method processing in this method
Terminal is to extract in vehicle passenger flow.The present invention may be implemented, to the statistics of bus passenger flow OD, to improve precision, it can also be used to passenger flow
Monitoring in real time is detected with vehicle crowding.
Description of the drawings
Fig. 1 is the principle schematic of the specific embodiment of the invention；
Fig. 2 is the principle schematic of bus passenger flow harvester in the specific embodiment of the invention；
Fig. 3 is the principle schematic of bus passenger flow primary data information (pdi) in the specific embodiment of the invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art obtained under the premise of not making creative work it is all its
His embodiment, shall fall within the protection scope of the present invention.
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
The invention will be further described in the following with reference to the drawings and specific embodiments, but not as limiting to the invention.
Embodiment is described with reference to Fig. 1, and present embodiment is a kind of bus passenger flow statistical system, including bus passenger flow adopts
Acquisition means, in vehicle passenger flow resolution unit, in vehicle passenger flow OD extraction units and bus passenger flow statistic unit；
Bus passenger flow harvester, for acquiring bus passenger flow initial data；
In vehicle passenger flow resolution unit, for parsing the bus passenger flow in vehicle in the bus passenger flow initial data of acquisition；
In vehicle passenger flow OD extraction units, for being extracted in vehicle passenger flow OD in vehicle bus passenger flow to parsing；
Bus passenger flow statistic unit, for according to extracting in vehicle passenger flow OD, obtaining crowding, website get on or off the bus number and
There are the data such as OD；
Bus passenger flow harvester described in present embodiment is mounted on bus, as shown in Fig. 2, present embodiment
Harvester includes MAC Address scan module, GNSS locating modules, microprocessor, offline storage module and remote data transmission
Module；
MAC Address scan module obtains the mobile terminal on bus for scanning the mobile terminal in setting range
MAC Address and signal strength；
GNSS locating modules, for longitude and latitude and positioning time where obtaining bus；The positioning time of present embodiment
For the standard setting time；
Microprocessor, for controlling MAC Address scan module and the work of GNSS locating modules, by MAC Address scan module
The data obtained with GNSS locating modules are sent to host computer；Present embodiment MAC Address scan module and GNSS locating modules
It acquires simultaneously, is additionally operable to standard setting time being converted to Beijing time, it is original to form bus passenger flow for the pretreatments such as data splicing
Data, as shown in figure 3, format is as follows：MAC Address, signal strength, time, longitude, latitude.
Offline storage module, the data obtained for storing MAC Address scan module and GNSS locating modules.
Fixed router is set in the initial point and terminal of public bus network, offline storage module automatically accesses the fixed route
The data of storage are uploaded to host computer by device by the fixed router.
Remote data transmission module, the data for obtaining MAC Address scan module and GNSS locating modules are periodical
Be uploaded to host computer.
The bus passenger flow initial data that present embodiment MAC Address scan module and GNSS locating modules obtain has following several
Kind processing method：
The harvester of present embodiment is the bus passenger flow initial data obtained based on MAC and GNSS information, is needed pair
Interference MAC Address in bus passenger flow initial data is screened out.
Microprocessor is by initial data or has been subjected to the data list of primary dcreening operation and is locally stored.Host computer by read from
Line memory module obtains circuit passenger flow situation, then with based on MAC and GNSS information extract in vehicle passenger flow.
In public bus network initial point terminal, fixed router is set.Fixed router is automatically accessed in harvester setting, is connect
After entering, the data that are locally stored of offline storage module are uploaded to host computer, are used for subsequent analysis.
During public transport operation, bus passenger flow harvester is periodically through remote data transmission module, by original number
According to or have been subjected to primary dcreening operation data list remote transmission to host computer, for carrying out subsequent analysis, can carry out the bus passenger flow time
Monitoring can be used for real-time crowding and judge.
In bus driving process, MAC Address scan module can scan information of mobile terminal, such as road outside a large amount of invalid vehicles
Side pedestrian, vehicle etc. need to screen the mobile terminal scanned, obtain the mobile terminal in vehicle.Pass through GNSS module
Information, can effectively obtain the information in vehicle mobile terminal.
Present embodiment may be used three kinds of analytic methods in vehicle passenger flow resolution unit and obtain mobile terminal in vehicle, the
A kind of analytic method, includes the following steps：
Step s11：According to MAC Address scan module obtain data, by the mobile terminal with identical MAC Address according to
Timestamp is ranked up；
Step s12：According to the data that GNSS locating modules obtain, the initial on-line time T of each mobile terminal is obtainedon、
Reach the standard grade place longitude LONon, reach the standard grade place latitude LATon, final Offtime Toff, offline place longitude LONoffWith offline
Point latitude LAToff；
Step s13：According to initial on-line time TonWith final Offtime Toff, obtain each mobile terminal it is online when
Long Tbus；Tbus=Toff-Ton
Step s14：According to the place longitude LON that reaches the standard gradeon, reach the standard grade place latitude LATon, offline place longitude LONoffWith under
Line place latitude LAToffObtain the online air line distance D of each mobile terminalbus；
Step s15：For by TbusWith online hours threshold value TbusComparison, DbusWith online air line distance threshold value DonlineIt is right
Than judging whether each mobile terminal belongs to the mobile terminal in vehicle；This method can be solved effectively under jam situation, interference
The problem of addresses mac.
Present embodiment provides two kinds of online air line distance D sought in step s14busMethod, one of which method
For：
To reach the standard grade place longitude LONon, reach the standard grade place latitude LATon, offline place longitude LONoffWith offline place latitude
LAToffThe rectangular co-ordinate in reach the standard grade place and offline place is converted to by Gauss Kru＆4＆ger projection；
Euclidean distance is sought by the rectangular co-ordinate in reach the standard grade place and offline place, obtains online air line distance Dbus。
Another kind seeks online air line distance DbusMethod：
Wherein, Dlat0.00001For air line distance when down town latitude changes 0.00001 degree where bus, being separated by；
Dlon0.00001For air line distance when down town longitude changes 0.00001 degree where bus, being separated by；Dlat0.00001With
Dlon0.00001For constant.
Present embodiment is in order to obtain the mobile terminal in vehicle, in second of analytic method of vehicle passenger flow resolution unit, packet
Include following steps：
Step s21：Public bus network, website and location information where obtaining bus；Public bus network, website and location information
Including：Line number, each Site IDi, each site name, each website longitude and each website latitude；
Step s22：Centered on the longitude and latitude of website, effective address region delimited, the triggering region of each website is obtained；
The information for triggering region includes each Site IDi, triggering respective site longitude range (LONi-Δloni, LONi+Δ
loni), triggering respective site latitude scope (LATi-Δlati, LATi+Δlati), LONiIndicate the longitude of i-th of website；
ΔloniIndicate effective threshold value of i-th of website longitude, Δ latiIndicate effective threshold value of i-th of website longitude, LATiI-th
The latitude of website, IDiIndicate the coding of i-th of website.
Step s23：When the data obtained according to GNSS locating modules determine that bus enters triggering region, start MAC
Address scan module is scanned, and obtains the mobile terminal scanned；This method enters triggering region and just starts MAC Address scanning
Module is scanned, and effectively solves the problems, such as transmission of redundant data, and ensure effective detection in objective MAC Address.
Step s24：The mobile terminal that two neighboring website is triggered to scanned in regions compares, and seeks intersection, the intersection
For in vehicle mobile terminal；
Present embodiment is in order to obtain the mobile terminal in vehicle, in the third analytic method of vehicle passenger flow resolution unit：
The MAC Address that AP is nearby fixed to bus station records, by way of the triggering of the MAC Address of record or closing
Start MAC Address scan module to be scanned.
This method is also a kind of mode starting MAC Address scan module, makes MAC Address scan module only in bus station
It is scanned, such as has fixed AP in the shops such as KFC, Startbuck near certain bus station, to the MAC Address of fixation AP
It is recorded, when bus reaches near the bus station, the MAC Address triggering of record or closing mode start MAC Address and sweep
Module scans are retouched, effectively solve the problems, such as transmission of redundant data.The mobile terminal of two neighboring station scans is compared, seeks handing over
Collection, the intersection are in vehicle mobile terminal；
Present embodiment is parsing after vehicle mobile terminal, in vehicle passenger flow OD extraction units to the mobile terminal in vehicle
It is analyzed, extracts bus passenger flow OD information, specifically include：
Step s41：Public bus network, website and location information where obtaining；
Step s42：It respectively stands according on the longitude and latitude and public bus network that place initially occurs in the MAC Address of vehicle mobile terminal
It is website of getting on the bus that air line distance, the shortest website of air line distance are asked in the position of point；
Step s43：It respectively stands according on the longitude and latitude and public bus network that place finally occurs in the MAC Address of vehicle mobile terminal
It is get-off stop that air line distance, the shortest website of air line distance are asked in the position of point；
Step s44：Obtain bus passenger flow OD information, including the MAC Address for mobile terminal of getting on the bus, it is corresponding get on or off the bus the time and
It gets on or off the bus website.
Present embodiment further includes opening ratio based on WIFI to carry out passenger flow OD expansion samples.
Bus passenger flow statistic unit can carry out crowding, website according to the bus passenger flow OD information of extraction in present embodiment
Get on or off the bus number, travelling OD is counted, and is detected with crowding for bus passenger flow monitoring in real time.
Although describing the present invention herein with reference to specific embodiment, it should be understood that, these realities
Apply the example that example is only principles and applications.It should therefore be understood that can be carried out to exemplary embodiment
Many modifications, and can be designed that other arrangements, without departing from the spirit of the present invention as defined in the appended claims
And range.It should be understood that can be by combining different appurtenances different from mode described in original claim
Profit requires and feature described herein.It will also be appreciated that the feature in conjunction with described in separate embodiments can use
In other described embodiments.
Claims (10)
1. a kind of bus passenger flow harvester, the harvester is mounted on bus, which is characterized in that the harvester
Including MAC Address scan module, GNSS locating modules and microprocessor；
MAC Address scan module obtains the mobile terminal on bus for scanning the mobile terminal in setting range
MAC Address and signal strength；
GNSS locating modules, for longitude and latitude and positioning time where obtaining bus；
Microprocessor, for controlling MAC Address scan module and the work of GNSS locating modules, by MAC Address scan module and
The data that GNSS locating modules obtain are sent to host computer.
2. bus passenger flow harvester according to claim 1, which is characterized in that the harvester further includes depositing offline
Store up module；
Offline storage module, the data obtained for storing MAC Address scan module and GNSS locating modules.
3. bus passenger flow harvester according to claim 2, which is characterized in that the harvester further includes：In public affairs
Fixed router is arranged in the initial point and terminal on intersection road, and offline storage module automatically accesses the fixed router, by described
The data of storage are uploaded to host computer by fixed router.
4. bus passenger flow harvester according to claim 1, which is characterized in that described device further includes that teledata passes
Defeated module；
Remote data transmission module, the data for obtaining MAC Address scan module and GNSS locating modules are periodic
Reach host computer.
5. the passenger flow statistical method of bus passenger flow harvester described in claim 1, which is characterized in that the method includes such as
Lower step：
Step s11：According to the data that MAC Address scan module obtains, by the mobile terminal with identical MAC Address according to the time
Stamp is ranked up；
Step s12：According to the data that GNSS locating modules obtain, the initial on-line time T of each mobile terminal is obtainedon, reach the standard grade
Place longitude LONon, reach the standard grade place latitude LATon, final Offtime Toff, offline place longitude LONoffWith offline place latitude
Spend LAToff；
Step s13：According to initial on-line time TonWith final Offtime Toff, obtain the online hours of each mobile terminal
Tbus；Tbus=Toff-Ton
Step s14：According to the place longitude LON that reaches the standard gradeon, reach the standard grade place latitude LATon, offline place longitude LONoffWith offline place
Latitude LAToffObtain the online air line distance D of each mobile terminalbus；
Step s15：For by TbusWith online hours threshold value TbusComparison, DbusWith online air line distance threshold value DonlineComparison, sentences
Whether each mobile terminal that breaks belongs to the mobile terminal in vehicle；
Step s16：Mobile terminal in vehicle is analyzed, bus passenger flow OD information is obtained, carries out passenger flow statistics.
6. passenger flow statistical method according to claim 5, which is characterized in that the step s14 includes：
To reach the standard grade place longitude LONon, reach the standard grade place latitude LATon, offline place longitude LONoffWith offline place latitude LAToff
The rectangular co-ordinate in reach the standard grade place and offline place is converted to by Gauss Kru＆4＆ger projection；
Euclidean distance is sought by the rectangular co-ordinate in reach the standard grade place and offline place, obtains online air line distance Dbus。
7. passenger flow statistical method according to claim 5, which is characterized in that the online air line distance Dbus：
Wherein, Dlat0.00001For air line distance when down town latitude changes 0.00001 degree where bus, being separated by；
Dlon0.00001For air line distance when down town longitude changes 0.00001 degree where bus, being separated by；Dlat0.00001With
Dlon0.00001For constant.
8. the passenger flow statistical method of bus passenger flow harvester described in claim 1, which is characterized in that the method includes such as
Lower step：
Step s21：Public bus network, website and location information where obtaining bus；
Step s22：Centered on the longitude and latitude of website, effective address region delimited, the triggering region of each website is obtained；
Step s23：When the data obtained according to GNSS locating modules determine that bus enters triggering region, start MAC Address
Scan module is scanned, and obtains the mobile terminal scanned；
Step s24：By two neighboring website trigger scanned in regions mobile terminal compare, seek intersection, the intersection be
Vehicle mobile terminal；
Step s25：Mobile terminal in vehicle is analyzed, bus passenger flow OD information is obtained, carries out passenger flow statistics；
The public bus network, website and location information include：Line number, each Site IDi, each site name, each website longitude and each
Website latitude；
The information for triggering region includes each Site IDi, triggering respective site longitude range (LONi-Δloni, LONi+Δ
loni), triggering respective site latitude scope (LATi-Δlati, LATi+Δlati), LONiIndicate the longitude of i-th of website；
ΔloniIndicate effective threshold value of i-th of website longitude, Δ latiIndicate effective threshold value of i-th of website longitude, LATiI-th
The latitude of website, IDiIndicate the coding of i-th of website.
9. the passenger flow statistical method of bus passenger flow harvester described in claim 1, which is characterized in that the method includes such as
Lower step：
Step s31：Public bus network, website and location information where obtaining bus；
Step s32：The MAC Address that AP is nearby fixed to bus station records；
Step s33：When the MAC Address of record starts MAC Address scan module in a manner of triggering or close, MAC Address scans mould
Block is scanned, and obtains the mobile terminal scanned；
Step s34：By two neighboring website trigger scanned in regions mobile terminal compare, seek intersection, the intersection be
Vehicle mobile terminal；
Step s35：Mobile terminal in vehicle is analyzed, bus passenger flow OD information is obtained, carries out passenger flow statistics.
10. the passenger flow statistical method according to claim 5 or 8, which is characterized in that the mobile terminal progress in vehicle
Analysis obtains bus passenger flow OD information, includes the following steps：
Step s41：Public bus network, website and location information where obtaining；
Step s42：According to each website on the longitude and latitude and public bus network that place initially occurs in the MAC Address of vehicle mobile terminal
It is website of getting on the bus that air line distance, the shortest website of air line distance are asked in position；
Step s43：According to each website on the longitude and latitude and public bus network that place finally occurs in the MAC Address of vehicle mobile terminal
It is get-off stop that air line distance, the shortest website of air line distance are asked in position；
Step s44：Obtain bus passenger flow OD information, including the MAC Address for mobile terminal of getting on the bus, the corresponding time and up and down of getting on or off the bus
Station point.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109600758A (en) * | 2018-11-15 | 2019-04-09 | 南昌航空大学 | A kind of stream of people's quantity monitoring method based on RSS |
| CN110839224A (en) * | 2019-11-18 | 2020-02-25 | 江苏智城慧宁交通科技有限公司 | Bus passenger flow tracking and identifying system and method |
| CN114913702A (en) * | 2021-02-09 | 2022-08-16 | 武汉小码联城科技有限公司 | Electronic bus stop board arrival reminding method, system and related equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046944A (en) * | 2015-06-26 | 2015-11-11 | 浙江工业大学 | Bus passenger flow data acquisition method based on mobile phone MAC address scanning |
| CN107767669A (en) * | 2017-10-24 | 2018-03-06 | 东南大学 | Public bus network passenger flow OD methods of estimation based on WiFi and bluetooth recognition |
| CN107798869A (en) * | 2017-10-24 | 2018-03-13 | 东南大学 | Based on the collection of the bus passenger passenger flow of website WiFi and vehicle GPS and analysis method |
| CN107845259A (en) * | 2017-10-24 | 2018-03-27 | 东南大学 | Public transport operation situation real-time feedback system and public transport real-time running data processing method |
-
2018
- 2018-03-28 CN CN201810264530.5A patent/CN108551650A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105046944A (en) * | 2015-06-26 | 2015-11-11 | 浙江工业大学 | Bus passenger flow data acquisition method based on mobile phone MAC address scanning |
| CN107767669A (en) * | 2017-10-24 | 2018-03-06 | 东南大学 | Public bus network passenger flow OD methods of estimation based on WiFi and bluetooth recognition |
| CN107798869A (en) * | 2017-10-24 | 2018-03-13 | 东南大学 | Based on the collection of the bus passenger passenger flow of website WiFi and vehicle GPS and analysis method |
| CN107845259A (en) * | 2017-10-24 | 2018-03-27 | 东南大学 | Public transport operation situation real-time feedback system and public transport real-time running data processing method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109600758A (en) * | 2018-11-15 | 2019-04-09 | 南昌航空大学 | A kind of stream of people's quantity monitoring method based on RSS |
| CN109600758B (en) * | 2018-11-15 | 2022-03-29 | 南昌航空大学 | RSS-based people flow monitoring method |
| CN110839224A (en) * | 2019-11-18 | 2020-02-25 | 江苏智城慧宁交通科技有限公司 | Bus passenger flow tracking and identifying system and method |
| CN110839224B (en) * | 2019-11-18 | 2024-01-30 | 江苏智城慧宁交通科技有限公司 | Bus passenger flow tracking and identifying system and method |
| CN114913702A (en) * | 2021-02-09 | 2022-08-16 | 武汉小码联城科技有限公司 | Electronic bus stop board arrival reminding method, system and related equipment |
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