CN108648453A - A method of traffic trip data portrait is carried out based on mobile phone location fresh information - Google Patents
A method of traffic trip data portrait is carried out based on mobile phone location fresh information Download PDFInfo
- Publication number
- CN108648453A CN108648453A CN201810463742.6A CN201810463742A CN108648453A CN 108648453 A CN108648453 A CN 108648453A CN 201810463742 A CN201810463742 A CN 201810463742A CN 108648453 A CN108648453 A CN 108648453A
- Authority
- CN
- China
- Prior art keywords
- traffic
- location updating
- user
- transportation
- mode
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/015—Detecting movement of traffic to be counted or controlled with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Mobile Radio Communication Systems (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of method carrying out traffic trip data portrait based on mobile phone location fresh information, the method that should carry out traffic trip data portrait based on mobile phone location fresh information includes：The location updating message that each base station is obtained from mobile phone at least two base stations is acquired, location updating message includes that each base station obtains the location updating time from mobile phone；According to location updating message, user's traffic direction and the traffic distance of user are determined, and according to traffic distance and location updating time, certain user's traffic speed, and according to user's traffic speed and location updating message, determine the mode of transportation of user；The identical user's mode of transportation of traffic direction is clustered, determines the magnitude of traffic flow of mode of transportation in preset time, the magnitude of traffic flow of mode of transportation includes vehicles flow；According to location updating message, one or more carry out data portraits of traffic distance, mode of transportation and vehicles flow.
Description
Technical field
The present invention relates to technical field of information processing, and in particular to one kind carrying out traffic based on mobile phone location fresh information and goes out
The method of row data portrait.
Background technology
The statistics and prediction of flow of the people and vehicle flowrate are critically important element tasks between traffic transport industry, different OD.
The magnitude of traffic flow statistics of current magnitude of traffic flow statistics especially intercity is mainly looked forward to by charge station's statistics and railway, airport
Portion respectively counts in the industry, and the traffic statistics to non-tolling road are a blank, are even more to the entire magnitude of traffic flow especially vehicle flowrate
Complete statistics comprehensively can not be formed.For roading and vehicle supervision department and transport, tourist enterprise, the item data
The missing of statistics undoubtedly loses the specific aim and accuracy of work.Map software system based on GPS provides to a certain degree
Statistical fractals, but since using GPS signal in software difference and open permission and the vehicles to be easy shielding etc. former by user
Because leading to lack enough reference values due to data are imperfect, therefore, wants to carry out analysis and utilization to the information of GPS positioning, be real
Now not.
Invention content
The purpose of the present invention is to provide a kind of sides carrying out traffic trip data portrait based on mobile phone location fresh information
Method, to solve problems of the prior art.
To achieve the above object, the technical scheme is that a kind of carrying out traffic trip based on mobile phone location fresh information
The method of data portrait should carry out the method that data portrait occurs in traffic based on mobile phone location fresh information, including：Acquisition is at least
The location updating message that each base station is obtained from mobile phone in two base stations, the location updating message include each base station from
Mobile phone obtains the location updating time；According to the location updating message, user's traffic direction and the traffic distance of user are determined, with
And according to the traffic distance and the location updating time, certain user's traffic speed, and according to user's traffic speed
And location updating message, determine the mode of transportation of user；The identical user's mode of transportation of traffic direction is clustered, is determined pre-
If the magnitude of traffic flow of mode of transportation in the time, the magnitude of traffic flow of mode of transportation includes vehicles flow；Believed according to location updating
Breath, the location updating time, traffic distance, mode of transportation and vehicles flow one or more carry out data portraits.
Optionally, should further include based on the method method of mobile phone location fresh information progress traffic trip data portrait：It will
Location updating message is pre-processed；Pretreatment, including：Reject the invalid data in location updating message.
Optionally, should further include based on the method method of mobile phone location fresh information progress traffic trip data portrait：It will
Location updating message after pretreatment divides user's trip section in preset time.
Optionally, according to location updating message, user's traffic direction and the traffic distance of user are determined, and according to traffic
Distance and location updating time, certain user's traffic speed, and according to user's traffic speed and location updating message, determine user
Mode of transportation, including：The time of mobile phone generation position fresh information, including：According to location updating message, and identification trip
Section, determines the traffic distance of user's traffic direction and the trip section of user, and more according to the traffic distance for section of going on a journey and position
New time, the traffic speed of certain user's trip section；And the traffic speed for section of going on a journey is clustered according to the location updating time；
According to the item number and location updating message of same traffic speed corresponding location updating time, determines and used in preset time trip section
The mode of transportation at family.
Optionally, it in the item number and location updating message according to the same traffic speed corresponding location updating time, determines
In preset time trip section after the mode of transportation of user, including：When the mode of transportation of the user corresponding location updating time
When item number presets the item number of corresponding location updating time less than user's traffic, the no-load ratio of trip section mode of transportation is determined；It will
The no-load ratio of the identical mode of transportation of traffic direction is clustered, and determines section traffic no-load ratio of going on a journey in preset time.
Optionally, it in the item number and location updating message according to the same traffic speed corresponding location updating time, determines
After the mode of transportation of user, including：When the item number of the mode of transportation of user corresponding location updating time is more than user's traffic
When presetting the item number of corresponding location updating time, the overloading ratio of trip section mode of transportation is determined；By the identical friendship of traffic direction
The overloading ratio of logical mode is clustered, and determines section traffic overloading ratio of going on a journey in preset time.
Optionally, should further include based on the method method of mobile phone location fresh information progress traffic trip data portrait：Root
According to location updating message, location updating time, the traffic distance for section of going on a journey, the mode of transportation of trip section, trip section mode of transportation
Overloading ratio, go on a journey section mode of transportation no-load ratio and vehicles flow one or more carry out data portraits.
Optionally, location updating message further includes：User basic information；When according to location updating message, location updating
Between, traffic distance, one or more and the user basic information of mode of transportation and vehicles flow progress data portrait.
The invention has the advantages that：
Have very strong data accuracy, integrality and authority, has been crossed from traditional decentralized statistics investigation complete
The fast quantitative analysis of more time dimensions of face entirety simultaneously can obtain rich and varied high price Value Data portrait, and can effectively letter
Change data acquisition, there is very strong practical application meaning.
Description of the drawings
Fig. 1 is the application scenario diagram of the embodiment of the present invention.
Fig. 2 is to carry out traffic trip data portrait based on mobile phone location fresh information an embodiment of the present invention provides a kind of
The flow chart of method.
Specific implementation mode
The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention..
Embodiment 1
Fig. 1 is the application scenario diagram of the embodiment of the present invention.As shown in Figure 1, including mobile phone 10 and base station 20 and base station 30.Base
Stand 20 and base station 30 be respectively used to the location updating message of acquisition mobile phone 10, when holding the user of mobile phone 10 by the position of base station 20
When setting, base station 20 acquires the location updating message of mobile phone 10, when the user for holding mobile phone 10 runs to the position of base station 30, base
Stand 30 acquisition mobile phones 10 location updating message；It is then based on the user position update information that base station 20 and base station 30 acquire, really
Determine trip mode used by user, be based further on trip mode cluster, determine a certain region a certain period the magnitude of traffic flow,
Road traffic and vehicle no-load ratio；It is finally based on area, period, the magnitude of traffic flow, road traffic and vehicle no-load ratio carry out
Data are drawn a portrait.Wherein, base station 20 and base station 30 are trip associated base stations, can be crucial traffic node base station or path
Upper continuous association base station, for example, (slip-road, city expressway, intercity arterial highway), subway or machine by road
Field, railway station, the base station near passenger traffic stations on highway.It is in fig. 1 to show with the base station 20 being arranged by road and base station 30
Example illustrates.
Embodiment 2
Fig. 2 is to carry out traffic trip data portrait based on mobile phone location fresh information an embodiment of the present invention provides a kind of
The flow chart of method.As shown in Figure 2.This includes based on the method that mobile phone location fresh information carries out traffic trip data portrait：
Step S201：The location updating message that each base station is obtained from mobile phone at least two base stations is acquired, the position is more
New information includes：Location updating message includes that each base station obtains the location updating time from mobile phone.Wherein, base station is that trip is related
Base station can be continuous association base station on crucial traffic node base station or path.The location updating time refers to that base station receives
The time of mobile phone location fresh information.
Optionally, after step S201, a method of data portrait is carried out based on travel information, further includes：
Location updating message is pre-processed, pretreatment includes rejecting invalid data in location updating message.Wherein, invalid data is
Refer to the resident cell phone customer appeared in for a long time near base station, the including but not limited to inhabitant of selection of base stations environs, work
Make personnel, for example, the cell phone customer data information for continuing to occur in the same base station in 1,3,5 hour is rejected.
In the embodiment of the present invention, when mobile phone is in the mobile phone (doing business, such as online or call) of connection status, net
Network is known that mobile phone is connect with which cell (cell), therefore can accurately disappear in the direct distributing paging of this cell
Breath；When mobile phone is in idle condition, there is not physical connection with network, mobile phone is only to new LAC/TA List's
Launch position update is just understood behind region or time beyond position renewing timer.
Step S202：According to location updating message, user's traffic direction and the traffic distance of user are determined, and according to friendship
Logical distance and location updating time, certain user's traffic speed, and according to user's traffic speed and location updating message, determine and use
The mode of transportation at family.
Optionally, according to pretreated location updating message, based on Clustering Theory, fuzzy theory, to each user's
Trip section is identified, and judges that the traffic distance of trip section is short distance, middle-long distance or long-distance；More further according to mobile phone generation position
The time of new information and traffic distance determine the mode of transportation of trip section, for example, the traffic side of the trip section of short distance traffic distance
Formula is walking, bicycle, electric vehicle etc.；The mode of transportation of the trip section of middle-long distance traffic distance is electric vehicle, car, public transport
Vehicle, subway etc.；The mode of transportation of the trip section of long distance transportation distance is car, long-distance bus, railway, aircraft etc..
Specifically, step S202 is specifically included：According to location updating message, and identification trip section, user's traffic is determined
The traffic distance of the trip section of direction and user, and the traffic distance according to trip section and location updating time, certain user
The traffic speed for section of going on a journey；And the traffic speed for section of going on a journey is clustered according to the location updating time；According to same traffic speed
The item number and location updating message for spending the corresponding location updating time determine the mode of transportation of user in preset time trip section.
, can also be according to regular flight it should be noted that divide trip end, arrival time of train number assists dividing, this
Sample further determines that trip section.
In embodiments of the present invention, trip section is divided, be further determine that user in that region, for example, city or
Outside person city, it can be further reduced it needs to be determined that mode of transportation in conjunction with whether having the vehicles such as aircraft in incity
Range then can also further reduce it needs to be determined that traffic for combining the area in city that can not then consider the possibility of walking outside city
The range of mode.
Determine traffic distance, including：
The first step, location updating message are the trips for corresponding to each mobile phone user sequentially in time, are therefrom chosen each
Trip track in the preset time of mobile phone user and the calculating for carrying out relevant parameter,
1) data information that same cell phone customer data occur in different selection of base stations, including positioning date, time, base station
Distance；
2) the cell phone customer data information for continuing to occur in the same base station in 1,3,5 hour is rejected；
3) each cell phone customer data are numbered in the appearance date of different selection of base stations, time, position, according to the time
Sequence, number will embody same cell phone customer data in different selection of base stations；
Second step, data processing
1) speed of each cell phone customer in certain period of time between two adjacent selection of base stations is calculated：Average speed,
Average acceleration, change direction, base distance between sites were interval calculation average speed, average acceleration with 5 minutes；
2) in preset time, judge that the traffic distance of the trip section of each cell phone customer is short distance, middle-long distance, length
On the way：
Work as Ln-mi, s≤30km, is short distance distance；
Work as 30km<Ln-mi, s≤500km are middle-long distance distance；
Work as Ln-mi, s>500km is long-distance distance；
Wherein, Ln-mi, s indicate i-th of cell phone customer distance between the m under speed is s and n-th of selection of base stations.
After the location updating message acquired in step S201 pre-processes, the mode of transportation of step S202 determinations
It is then more acurrate.
Determine the mode of transportation of user, including：
Determine the Travel Range of user first, for example, the mobile phone that holds of user in airport, railway station, bus station, high speed
The base station in the regions such as crossing obtains location updating message from mobile phone, and the base station to obtaining location updating message is marked, and encloses
Go out the outlet regional extent of the user；Then base station (airport, railway station, bus station, expressway are identified by Data Analysis Model
Mouthful etc. transport hubs) neighbouring user, the resident user (such as nearby residents, staff) to appearing in base station for a long time carries out
It screens, filters out trip user；Finally the position of trip user's trip is analyzed, when position appears in other cities
When, analyze the position and location updating time that it is first appeared in other cities, it has been determined that whether match airport, railway station, big
The regions such as bar station, high speed crossing, determine its trip mode.For example, when the base station of A city airports has recorded the location updating of user
Between, after a certain time, the base stations of B city airports also has recorded the location updating time of user, and traffic speed and aircraft
Traffic speed corresponds to, then can determine that user's airplane reaches the cities B from the cities A.
Optionally, in order to more accurately determine the mode of transportation of user, traffic speed and location updating time can be carried out
Cluster, the same speed corresponding location updating time was clustered, and according to the same speed corresponding location updating time
Item number determines the mode of transportation in sometime.
Specifically, all corresponding number of users that can have carried of each mode of transportation, it is assumed that each user carries one
Mobile phone, then the mode of transportation then corresponds to the number of users identical location updating time；By the traffic speed in certain time
It is clustered according to the location updating time, the cluster degree of same speed is higher, illustrates that the corresponding number of users of the mode of transportation is got over
It is more, while also can determine that the mode of transportation.Assuming that having base station 1 and base station 2, there is the record of base station 1 to have a plurality of location updating time,
After a certain period of time, base station 2 also has recorded a plurality of location updating time, can be gathered according to the item number of a plurality of location updating time
Class determines mode of transportation.For example, multiple user locations are intensive always in a certain range, and traffic direction is identical, 7 or less
For kart or electric vehicle (it is automobile to generate 60 kilometers or more), analogize, 30 people are bus, and hundreds of people's is fire
Vehicle, it is aircraft that speed, which is more than 500 kilometers,.
For example, it is walking that average speed, which is no more than 4m/s,；Average speed is more than 4m/s, and it is bicycle to be no more than 7m/s；It is flat
Equal speed is more than 7m/s, and it is electric vehicle to be no more than 10m/s；Average speed is more than 10m/s, and it is bus to be no more than 15m/s；It is flat
Equal speed is more than 10m/s, and it is car to be no more than 20m/s；Average speed is more than 10m/s, and it is subway, highest to be no more than 25m/s
Speed is more than 20m/s；Average speed is more than 10m/s, and it is coach to be no more than 25m/s, and selection of base stations maximum distance is more than
40km；Average speed is more than 25m/s, and it is train to be no more than 97m/s；It is aircraft that average speed, which reaches 200m/s,.
It should be noted that for bus, car, subway, it is more that average speed repeats section；If 7 people hereinafter,
In certain period of time in the different intensive generations of selection of base stations range, traffic direction is identical, then is car；According to similarity：
Selection of base stations, average distance, average speed, direction degree, closeness, judgement vehicles car a direction quantity,
Cabin factor；If 7-50 people, in certain period of time in the different intensive generations of selection of base stations range, traffic direction is identical, then for
Bus；If more than 50 people, in certain period of time in the different intensive generations of selection of base stations range, traffic direction is identical,
It is then subway；For train, aircraft, if more than 100 people, in certain period of time in the different intensive lifes of selection of base stations range
At traffic direction is identical, then is train/aircraft；According to similarity：It is selection of base stations, average distance, average speed, direction degree, close
Intensity, quantity of the judgement vehicles in a direction, cabin factor.
In the embodiment of the present invention, it is based on cluster principle, different cell phone customer data are in certain period of time in different choosings
Determine the intensive generation of base station range, traffic direction is identical, then is judged to selecting the same vehicles.For example, being electronic below 7 people
Vehicle, car (generation is more than the average speed of 60km/h)；It is coach below 50 people, bus, subway；It is more than 50 people
For subway, train (generation is more than the average speed of 120km/h), aircraft (generation is more than the average speed of 500km/h)；According to upper
It states principle and carries out characteristic parameter screening, filter out the cluster cell phone customer data of same base station, recognize going out for different traffic distances
The mode of transportation of the mode of transportation of row section, i.e. the trip section of short distance traffic distance is walking, bicycle, electric vehicle, and middle-long distance is handed over
The mode of transportation of the trip section of logical distance is electric vehicle, car, bus, subway, the friendship of the trip section of long distance transportation distance
Logical mode is car, long-distance bus, railway, aircraft.
Step S203：The identical user's mode of transportation of traffic direction is clustered, determines mode of transportation in preset time
The magnitude of traffic flow, the magnitude of traffic flow of mode of transportation includes vehicles flow and the volume of the flow of passengers.
Optionally, if the item number of mode of transportation corresponding location updating time carries user's not equal to mode of transportation
When quantity, otherwise illustrate that the mode of transportation is unloaded or is overload；In addition, by the same direction, and unloaded or overload traffic
Mode is birdsed of the same feather flock together respectively, determines traffic zero load or overloading ratio in preset time.
It should be noted that each mobile phone user can send location updating message in generation position fresh information
To base station, and the location updating time is then the time that base station receives location updating message, because of the visitor that the vehicles are carried
Family more than one, then the number of corresponding location updating time also unlikely location updating time, how many passenger, just
How many location updating time.
Step S204：According to the one or more of location updating message, traffic distance, mode of transportation and vehicles flow
Carry out data portrait.
Optionally, data portrait can also be carried out in conjunction with overloading ratio and no-load ratio.
It optionally, can be according to location updating message, the traffic distance for section of going on a journey, trip after carrying out trip section and dividing
The one of the mode of transportation of section, the overloading ratio for section mode of transportation of going on a journey, the no-load ratio for section mode of transportation of going on a journey and vehicles flow
Kind or a variety of progress data portraits.
Optionally, location updating message further includes：User basic information；One kind is carried out based on mobile phone location fresh information
Traffic trip data portrait method, further include：According in location updating message, traffic distance, mode of transportation and preset time
One or more and user basic information in the magnitude of traffic flow of mode of transportation carries out data portrait.
After step s 204, the method for carrying out data portrait based on travel information further includes, to acquisition information system
Meter analysis carries out data portrait to be applied.Such as following several usage scenarios.
(1) traffic planning and design department
By obtaining the flow of the people between regular period correlation OD, the development that can analyse prediction transport need scientifically becomes
Gesture determines the construction task, construction scale, industrial grade of transportation supplies in the specific period and carries out rational project plan comparison and warp
Ji evaluation, comprehensive benefit and total quality to ensure traffic programme are laid a good foundation.
(2) vehicle supervision department
By the way that progress position renewal time, classification analysis time, the vehicle flowrate on specific circuit can be obtained, so as to
To judge the congestion level of different periods circuit and the online operation situation of commerial vehicle, restriction and science are rationally taken
Tissue is adjusted, is dredged, and so that road grid traffic load is realized balanced, and provide objective basis for highway network improvement.
(3) transport enterprise
By analyzing position renewal time and call bill data, can obtain passenger flow total amount between different OD and
The shunt volume of various modes of transportation.The passenger flow total amount in the markets a market capacity i.e. OD.Consideration longer period of time (such as one
Year) the volume of the flow of passengers be to integrate inherent strength by mode of transportation to determine and a stationary value of the relative equilibrium of self-assembling formation.It enablesWithRailway Passenger Demand, the highway volume of the flow of passengers and the air passenger flow amount of some OD are indicated respectively, then the market of the OD
Total amount is：
Market competition situation.Such as:WithIndicate that the market that some markets OD railway can still be promoted is empty
Between rate, if PodIt is worth smaller, illustrates that railway is apparent in the competitive advantage in the markets OD, occupation rate of market is high.
It, can be targetedly according to the size and period and race condition of passenger flow total amount and various mode of transportation components
The dispensing of capacity is adjusted, additional income is realized, reduces cost.
In addition, in conjunction with user basic information such as period of gender, outer displacement, age bracket, number home, APRU values etc., it can
To draw a portrait to passenger flow group, commercial passenger flow, passenger flow of being on home leave and roundtrip frequency etc. are judged, it can be by targetedly making
Price lattice, service strategy, design corresponding applicable transport product.
(4) government's tourism management departments and tourist enterprise
Responsible departments of the government are analyzed by user informations such as ownership place of checking numbers, can know a city or scenic spot
Field staff mobility status include save (city) nationality, retention etc., can targetedly formulate drainage subsidy strategy, further
The coupled relation for analyzing Tourism Economy and local current GDP, formulates more macroscopical Tourism Economy policy.
Tourist enterprise can judge that the mode of going on a tour of passenger is self-driving by location updating time analysis by the vehicles
Trip or team travel etc., and market capacity, tourist's preference and competition extent can be analyzed, targetedly formulate travelling products.
(5) trade company
Association trade company can carry out picture by location updating time and user basic information analysis to the consumer behavior of tourist
Picture is simultaneously sorted out, and quotient area and behavior hobby (by Internet of Things information) adjustment shops's setting and product shape are enlivened for floating population
Formula and price strategy.
A kind of method carrying out data portrait based on travel information provided in an embodiment of the present invention, will be walked by speed
Row, bicycle, electric vehicle and quantity distinguish；By speed, data in mobile phone closeness by electric vehicle, car, public vapour
Vehicle, subway and quantity distinguish；Bus, subway, long-distance bus and quantity are distinguished by speed, selection of base stations distance
Out；Railroad train, aircraft and quantity are distinguished by speed, selection of base stations distance, data in mobile phone closeness.
By base station in the embodiment of the present invention, including but not limited to road (slip-road, city expressway,
Intercity arterial highway), subway or airport, railway station, the base station near passenger traffic stations on highway.Base station includes the object of selection of base stations
Manage position, selection of base stations orientation range traffic base data information, number of selection of base stations etc..
User basic information refers to data containing subscriber identity information, can be used for user group's portrait structure.
Feature：Normalization data, extraction are called convenient.User's coverage area includes but is not limited to magnitude of traffic flow statistics model
Enclose mobile subscriber.
User basic information include the gender of the cell phone customer, the age, work address, home address, the positioning date, when
Between.
The purpose of the present invention, the cell phone customer information that (1) data source is obtained in selection of base stations, cell phone customer owning rate pole
Height, the location updating message that base station obtains mobile phone is safe and reliable, therefore data channel has complete authoritative (2) to combine mobile phone user
Essential information can carry out the processing of various data portrait (3) data, can count flow of the people, prior to recognize traffic
Mode counts the vehicles (vehicle) flow.
Trip data after the desensitization obtained come drilling analysis base station by taking different parameters to combine, many departments and enterprise
Industry can easily be got much to be difficult to the high value accurate quantification data grasped and is applied originally.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention belong to the scope of protection of present invention.
Claims (8)
1. a kind of method carrying out traffic trip data portrait based on mobile phone location fresh information, which is characterized in that the method,
Including：
The location updating message that each base station is obtained from mobile phone at least two base stations is acquired, the location updating message includes institute
It states each base station and obtains the location updating time from mobile phone；
According to the location updating message, determine user's traffic direction and the traffic distance of user, and according to the traffic away from
From with the location updating time, certain user's traffic speed, and believed according to user's traffic speed and the location updating
Breath, determines the mode of transportation of user；
The identical user's mode of transportation of traffic direction is clustered, determines the magnitude of traffic flow of mode of transportation in preset time, institute
The magnitude of traffic flow for stating mode of transportation includes vehicles flow；
According to the location updating message, the location updating time, traffic distance, one kind of mode of transportation and vehicles flow or
A variety of progress data portraits.
2. according to the method described in claim 1, it is characterized in that, the method, further includes：
The location updating message is pre-processed；The pretreatment, including：It is invalid in the location updating message to reject
Data.
3. according to the method described in claim 2, it is characterized in that, the method, further includes：
By the location updating message after pretreatment, user's trip section in preset time is divided.
4. according to the method described in claim 3, it is characterized in that, according to the location updating message, user traffic side is determined
To the traffic distance with user, and according to the traffic distance and the location updating time, certain user's traffic speed, and
According to user's traffic speed and the location updating message, the mode of transportation of user is determined, including：Mobile phone generation position is more
The time of new information, including：
According to the location updating message, and the identification trip section, user's traffic direction and the trip section of user are determined
Traffic distance, and the traffic distance according to the trip section and the location updating time, the traffic of certain user's trip section
Speed；
And the traffic speed of the trip section is clustered according to the location updating time；
According to the item number of same traffic speed corresponding location updating time and the location updating message, determine that preset time goes out
The mode of transportation of user in row section.
5. according to the method described in claim 4, it is characterized in that, according to the same traffic speed corresponding location updating time
Item number and the location updating message, determine preset time trip section in user mode of transportation after, including：
When the item number of the mode of transportation of user corresponding location updating time presets corresponding location updating less than user's traffic
Between item number when, determine trip section mode of transportation no-load ratio；
The no-load ratio of the identical mode of transportation of traffic direction is clustered, determines section traffic no-load ratio of going on a journey in preset time.
6. according to the method described in claim 4, it is characterized in that, according to the same traffic speed corresponding location updating time
Item number and the location updating message, after the mode of transportation for determining user, including：
When the item number of the mode of transportation of user corresponding location updating time presets corresponding location updating more than user's traffic
Between item number when, determine trip section mode of transportation overloading ratio；
The overloading ratio of the identical mode of transportation of traffic direction is clustered, determines section traffic overloading ratio of going on a journey in preset time.
7. method according to claim 5 or 6, which is characterized in that the method further includes：
It is handed over according to location updating message, location updating time, the traffic distance for section of going on a journey, the mode of transportation of trip section, trip section
One or more carry out data portraits of the overloading ratio of logical mode, the no-load ratio and vehicles flow of section mode of transportation of going on a journey.
8. according to the method described in claim 1, it is characterized in that, the location updating message, further includes：User believes substantially
Breath；
According to the location updating message, the location updating time, traffic distance, one kind of mode of transportation and vehicles flow or
It is a variety of to carry out data portrait with the user basic information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810463742.6A CN108648453A (en) | 2018-05-15 | 2018-05-15 | A method of traffic trip data portrait is carried out based on mobile phone location fresh information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810463742.6A CN108648453A (en) | 2018-05-15 | 2018-05-15 | A method of traffic trip data portrait is carried out based on mobile phone location fresh information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108648453A true CN108648453A (en) | 2018-10-12 |
Family
ID=63755980
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810463742.6A Pending CN108648453A (en) | 2018-05-15 | 2018-05-15 | A method of traffic trip data portrait is carried out based on mobile phone location fresh information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108648453A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109637126A (en) * | 2018-12-06 | 2019-04-16 | 重庆邮电大学 | A kind of traffic object identifying system and its method based on V2X terminal |
| CN109887292A (en) * | 2019-04-04 | 2019-06-14 | 上海赢科信息技术有限公司 | The recognition methods and system of type of vehicle |
| CN110956820A (en) * | 2019-12-12 | 2020-04-03 | 武汉理工大学 | Highway passenger traffic overload real-time early warning system based on passenger mobile phone GPS positioning |
| CN112530166A (en) * | 2020-12-01 | 2021-03-19 | 江苏欣网视讯软件技术有限公司 | Method and system for analyzing and identifying bus station for getting on or off bus during traveling based on signaling data and big data |
| CN112738729A (en) * | 2020-12-31 | 2021-04-30 | 桂林旅游学院 | Method and system for distinguishing visiting hometown visitor by mobile phone signaling data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2455829A1 (en) * | 2003-01-21 | 2004-05-26 | Bernard Grush | Method and apparatus for a satellite positioning-based metering system for use in transport-related applications |
| CN101184266A (en) * | 2007-12-18 | 2008-05-21 | 北京西塔网络科技有限公司 | Information release device and information release method |
| CN104217588A (en) * | 2013-05-31 | 2014-12-17 | 张伟伟 | Method, server and system for acquiring real-time traffic information |
| CN104837116A (en) * | 2015-05-11 | 2015-08-12 | 广州杰赛科技股份有限公司 | User travel data detection method and system |
| CN105069025A (en) * | 2015-07-17 | 2015-11-18 | 浪潮通信信息系统有限公司 | Intelligent aggregation visualization and management and control system for big data |
-
2018
- 2018-05-15 CN CN201810463742.6A patent/CN108648453A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2455829A1 (en) * | 2003-01-21 | 2004-05-26 | Bernard Grush | Method and apparatus for a satellite positioning-based metering system for use in transport-related applications |
| CN101184266A (en) * | 2007-12-18 | 2008-05-21 | 北京西塔网络科技有限公司 | Information release device and information release method |
| CN104217588A (en) * | 2013-05-31 | 2014-12-17 | 张伟伟 | Method, server and system for acquiring real-time traffic information |
| CN104837116A (en) * | 2015-05-11 | 2015-08-12 | 广州杰赛科技股份有限公司 | User travel data detection method and system |
| CN105069025A (en) * | 2015-07-17 | 2015-11-18 | 浪潮通信信息系统有限公司 | Intelligent aggregation visualization and management and control system for big data |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109637126A (en) * | 2018-12-06 | 2019-04-16 | 重庆邮电大学 | A kind of traffic object identifying system and its method based on V2X terminal |
| CN109887292A (en) * | 2019-04-04 | 2019-06-14 | 上海赢科信息技术有限公司 | The recognition methods and system of type of vehicle |
| CN109887292B (en) * | 2019-04-04 | 2022-01-25 | 上海赢科信息技术有限公司 | Vehicle type identification method and system |
| CN110956820A (en) * | 2019-12-12 | 2020-04-03 | 武汉理工大学 | Highway passenger traffic overload real-time early warning system based on passenger mobile phone GPS positioning |
| CN112530166A (en) * | 2020-12-01 | 2021-03-19 | 江苏欣网视讯软件技术有限公司 | Method and system for analyzing and identifying bus station for getting on or off bus during traveling based on signaling data and big data |
| CN112738729A (en) * | 2020-12-31 | 2021-04-30 | 桂林旅游学院 | Method and system for distinguishing visiting hometown visitor by mobile phone signaling data |
| CN112738729B (en) * | 2020-12-31 | 2023-06-16 | 桂林旅游学院 | Method and system for discriminating visiting and returning tourists through mobile phone signaling data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108648453A (en) | A method of traffic trip data portrait is carried out based on mobile phone location fresh information | |
| CN110298500B (en) | Urban traffic track data set generation method based on taxi data and urban road network | |
| Choi et al. | An analysis of Metro ridership at the station-to-station level in Seoul | |
| CN108564226A (en) | A kind of public bus network optimization method based on taxi GPS and mobile phone signaling data | |
| CN108053240B (en) | Method and device for generating vehicle-mounted advertisement delivery bus route scheme | |
| CN104809112A (en) | Method for comprehensively evaluating urban public transportation development level based on multiple data | |
| CN110363985A (en) | A kind of traffic data analyzing method, apparatus, storage medium and equipment | |
| Vidović et al. | An overview of indicators and indices used for urban mobility assessment | |
| CN109543882A (en) | It is a kind of to be averaged the density of public transport network calculation method of station spacing based on optimal public transport | |
| CN104464280B (en) | Vehicle advance expenditure prediction method and system | |
| CN108847020A (en) | Road condition analysis method based on vehicle electron identifying technology | |
| CN105096584A (en) | Traffic decision support method, device, and system | |
| CN106846214A (en) | Method of the analysis transport hub accessibility to region public transportation mode competitive influence | |
| Chepuri et al. | Travel time reliability analysis on selected bus route of mysore using GPS data | |
| CN117196197A (en) | Public transportation site layout optimization method | |
| CN117745108B (en) | Passenger flow demand prediction method and system for advanced air traffic | |
| Tian et al. | Identifying residential and workplace locations from transit smart card data | |
| Batarce et al. | Characterizing the public transport service level experienced by users: An application to six Latin American transit systems | |
| Nurhidayat et al. | Impact of Traffic Volume on the Pollution Cost, Value of Time, and Travel Time Cost in Jakarta City Centre Area | |
| CN116090785B (en) | Custom bus planning method for two stages of large-scale movable loose scene | |
| Lorkowski et al. | Towards area-wide traffic monitoring-applications derived from probe vehicle data probe vehicle data | |
| CN108877209A (en) | A kind of urban transit bus transport services index construction method based on multivariate data | |
| Vitale et al. | A smartphone based DSS platform for assessing transit service attributes | |
| Tabassum et al. | Improving Access Considering Commuters Perception (A Case Study of Lahore BRT) | |
| Izadi et al. | Evaluation of the performance of bus special lines according to indicators of quality and transport and its performance improvement using ultra-innovative intelligent models (Case study: Rasht city) |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181012 |