CN106920394A - The method and system of fusion multiple data sources reduction urban traffic blocking degree - Google Patents
The method and system of fusion multiple data sources reduction urban traffic blocking degree Download PDFInfo
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- CN106920394A CN106920394A CN201710239847.9A CN201710239847A CN106920394A CN 106920394 A CN106920394 A CN 106920394A CN 201710239847 A CN201710239847 A CN 201710239847A CN 106920394 A CN106920394 A CN 106920394A
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- 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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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- 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
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- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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Abstract
A kind of method and system of fusion multiple data sources reduction urban traffic blocking degree that the present invention is provided, urban road is divided into several test points, the distance between adjacent test point is in the range of given threshold, for each test point has formulated congestion strategy table, numbered by test point and associate the two.For each test point, each test point accurately road condition data can be obtained by merging mobile phone position information and internet real-time road condition information.The road condition data of road condition data and its immediate detected downstream point according to each test point, can interpolate that whether test point is congestion source, if it is determined that test point is for after congestion source, corresponding congestion strategy table can be found according to test point numbering rapidly, commanding dispatches police and is dredged to congestion source scene immediately, congestion source is eliminated in bud or shortened the duration in congestion source.
Description
Technical field
The present invention relates to field of road traffic management, specifically a kind of fusion multiple data sources reduction urban traffic blocking journey
The method and system of degree.
Background technology
Domestic and international metropolitan traffic congestion has had a strong impact on the trip of people, causes the great attention of national governments.City
The decision-making level in city and management level and experts and scholars all want to take various methods to alleviate traffic congestion, and effect is not very good.
Studies in China department uses the major company of Internet technology with being engaged in, and has invented various congestion index computational methods,
Alleviate traffic congestion for governments at all levels and technical support is provided, but, these indexes are to the friendship in region from macroscopic aspect
On-state gesture carries out overall merit, it is impossible to eliminates congestion to traffic trip person's traffic trip route and traffic administration decision-making level and has played
Effect technical support.
Mobile phone location and speed data, internet cloud data are how merged, accurate traffic information is formed, realized quick and precisely
It was found that congestion, quick and precisely finds congestion source, it is quick to transfer policeman by the elimination of congestion source in bud or shortening congestion
The duration in source is traffic administration decision-making level focus of attention, and a kind of fusion multiple data sources reduction city is proposed for this
The method and system of traffic congestion degree.
The content of the invention
In order to solve the above technical problems, the invention provides one kind fusion multiple data sources reduction urban traffic blocking degree
Method and system, can quickly find congestion source and transfer the scheme that policeman is dredged such that it is able to by congestion source
Eliminate in bud, reduce urban traffic blocking degree.
Therefore, the present invention provides a kind of method that can merge multiple data sources reduction urban traffic blocking degree, including such as
Lower step:
On the electronic map determine need merge multiple data sources reduction urban traffic blocking degree region, it is determined that
Test point is marked between the import and export position and crossing at all crossings on electronic map in region, between two neighboring test point
Distance is specifically numbered in the range of given threshold for each test point is set；
Formulate congestion strategy table, the police on duty of the congestion strategy table record test point numbering and each test point of administration
The communication modes examined；
Position and the speed data of all mobile phones being located in the region are obtained in real time, by the position of each mobile phone and speed
Degrees of data is associated into the electronic map in corresponding geographical position coordinates, according to all in each test point detection range
The average translational speed of mobile phone, obtains the first real-time road data of the test point；
Road conditions cloud data are read by internet, determines that the corresponding geographical position of each test point is sat according to road conditions cloud data
The real-time road data put on, obtain the second real-time road data of test point；
The first real-time road data and the second real-time road data are merged, the actual road condition data of test point is obtained, will
To actual road condition data classified according to peony, red, yellow and green, by classification results mark on electronic map
On corresponding test point；
For each test point in the region, according to its actual road condition data and the actual road conditions of adjacent coordinates point
Data judge whether it is congestion source；
Numbering according to congestion source test point transfers congestion strategy table corresponding with each congestion source test point, according to
What is recorded in congestion strategy table administers the corresponding police of communication modes commanding scheduling of the police on duty of the congestion source test point
Examining to congestion scene carries out traffic dispersion.
Alternatively, in the method for above-mentioned fusion multiple data sources reduction urban traffic blocking degree, also including following step
Suddenly：
The moment of congestion source test point is reached according to police on duty and congestion source test point releases congestion source and sentences
Determine the moment of result, obtain police's congestion process time on duty, police on duty is examined automatically according to congestion process time
Evaluate.
Alternatively, in the method for above-mentioned fusion multiple data sources reduction urban traffic blocking degree, also including following step
Suddenly：
Obtain the congestion Genesis Information of policeman's feedback, according to congestion Genesis Information by congestion source according to periodicity congestion or
Sudden congestion carries out classification storage to it.
Alternatively, in the method for above-mentioned fusion multiple data sources reduction urban traffic blocking degree, mobile communication is obtained
The position of all mobile phones in the region that data center sends and speed data, by the position of each mobile phone and speed data
In association to corresponding geographical position coordinates in the electronic map, according to all mobile phones in each test point coverage
Average translational speed, obtains the road condition data of test point as the first real-time road data, specifically includes：
For each test point configures detection range, the starting point of the detection range is the test point and upstream close to detection
The point midway of point, the terminal of the detection range is the point midway of the test point and downstream close to test point；
For each test point, if not finding position and the speed data of mobile phone in its detection range, directly will
The road condition data of the test point is labeled as unimpeded, otherwise obtains the translational speed V of each mobile phone in its detection rangea, wherein 1≤
A≤A, A are the mobile phone sum in the test point detection range, and the average speed data of the test point is calculated according to below equation：
If the speed data of test point is more than or equal to first threshold with the ratio of the Maximum speed limit value in section where it,
The road condition data of the test point is labeled as green；
If the speed data of test point is same more than or equal to Second Threshold with the ratio of the Maximum speed limit value in section where it
When be less than first threshold, then the road condition data of the test point be labeled as yellow；
If the speed data of test point is same more than or equal to the 3rd threshold value with the ratio of the Maximum speed limit value in section where it
When be less than Second Threshold, then the road condition data of the test point be labeled as red；
If the speed data of test point is less than the 3rd threshold value, the detection with the ratio of the Maximum speed limit value in section where it
The road condition data of point is labeled as peony.
Alternatively, in the method for above-mentioned fusion multiple data sources reduction urban traffic blocking degree, for the region
Each interior test point, the actual road condition data according to its actual road condition data and adjacent coordinates point judges whether it is congestion
Source, specifically includes：
If peony is labeled as on test point and downstream close to test point on be not peony, the test point is defined as
Congestion source；
If be labeled as on test point red and downstream close to test point on be not peony or red, the test point is true
It is set to congestion source；
If yellow is labeled as on test point and downstream close to test point on be not peony or red or yellow, the inspection
Measuring point is defined as congestion source.
Alternatively, in the method for above-mentioned fusion multiple data sources reduction urban traffic blocking degree, for the region
Each interior test point, the actual road condition data according to its actual road condition data and adjacent coordinates point judges whether it is congestion
After source also include calculate each congestion source test point be obstructed coefficient the step of, specifically include：
If it is for peony, and downstream is green close to test point, the coefficient that is obstructed in the congestion source adds under current time
First numerical value；
If it is for peony, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source adds under current time
Second value；
If it is for peony, and downstream is red close to test point, the coefficient that is obstructed in the congestion source adds under current time
Third value；
If it is for red, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the under current time
Two numerical value；
If it is for red, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source plus the under current time
Three numerical value；
If it is yellow, be obstructed coefficient plus the third value in the congestion source under current time；
If congestion source test point is changed into green, the coefficient that is obstructed resets；
More than, the first numerical value>Second value>Third value.
The present invention also provides a kind of system for merging multiple data sources reduction urban traffic blocking degree, including:
Electronic map labeling module, determines to need fusion multiple data sources reduction urban traffic blocking journey on the electronic map
The region of degree, it is determined that region in mark test point, phase between the import and export position and crossing at all crossings on electronic map
The distance between adjacent two test points are specifically numbered in the range of given threshold for each test point is set；
Congestion strategy table formulates module, and congestion strategy table record test point numbering and each test point in area under one's jurisdiction are held
The communication modes of diligent police；
Data in mobile phone acquisition module, obtains position and the speed data of all mobile phones being located in the region in real time, will
The position of each mobile phone associates into the electronic map in corresponding geographical position coordinates with speed data, according to each detection
The average translational speed of all mobile phones in point detection range, obtains the first real-time road data of the test point；
Internet data acquisition module, road conditions cloud data are read by internet, and each inspection is determined according to road conditions cloud data
Real-time road data in the corresponding geographical position coordinates of measuring point, obtain the second real-time road data of test point；
Data fusion module, merges the first real-time road data and the second real-time road data, obtains the reality of test point
Road condition data, the actual road condition data that will be obtained is classified according to peony, red, yellow and green, by classification results mark
Note on test point corresponding on electronic map；
Congestion source judge module, for each test point in the region, according to its actual road condition data and phase
The actual road condition data of adjacent coordinate points judges whether it is congestion source；
Policeman's scheduler module, the numbering according to congestion source test point transfers gather around corresponding with each congestion source test point
Stifled strategy table, phase is dispatched according to the communication modes of the police on duty of the area under one's jurisdiction congestion source test point recorded in congestion strategy table
Answering police carries out traffic dispersion to congestion scene.
Alternatively, in the system of above-mentioned fusion multiple data sources reduction urban traffic blocking degree, also include：
Evaluation module, moment and the congestion source test point solution of congestion source test point are reached according to police on duty
Except the moment of congestion source result of determination, police's congestion process time on duty is automatically derived, according to congestion process time on duty
Police carries out evaluation automatically.
Alternatively, in the system of above-mentioned fusion multiple data sources reduction urban traffic blocking degree, also include：
Congestion origin cause of formation acquisition module, obtains the congestion Genesis Information of policeman's feedback, according to congestion Genesis Information by congestion source
Head carries out classification storage according to periodicity congestion or sudden congestion to it.
Alternatively, in the system of above-mentioned fusion multiple data sources reduction urban traffic blocking degree, also received including described
Resistance coefficients calculation block, the coefficient that is obstructed of congestion source test point is calculated by following steps：
If it is for peony, and downstream is green close to test point, the coefficient that is obstructed in the congestion source adds under current time
First numerical value；
If it is for peony, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source adds under current time
Second value；
If it is for peony, and downstream is red close to test point, the coefficient that is obstructed in the congestion source adds under current time
Third value；
If it is for red, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the under current time
Two numerical value；
If it is for red, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source plus the under current time
Three numerical value；
If it is yellow, be obstructed coefficient plus the third value in the congestion source under current time；
If congestion source test point is changed into green, the coefficient that is obstructed resets；
More than, the first numerical value>Second value>Third value.
The above-mentioned technical proposal that the present invention is provided, compared with prior art, at least has the advantages that：
The method and system of the fusion multiple data sources reduction urban traffic blocking degree that the present invention is provided, in electronic map
The distance between the upper multiple test points of mark, adjacent test point are that each test point has formulated congestion in setting range
Strategy table, is numbered by test point and associates the two.For each test point, its actual road can be calculated by two ways
Condition data, are respectively the first real-time road data obtained according to mobile phone location and translational speed, and road conditions are read by internet
The second real-time road data that cloud data are obtained, obtain the actual road condition data of each test point after two data of fusion.According to
The road condition data of the road condition data of each test point and its immediate detected downstream point, can interpolate that whether test point is to gather around
Stifled source, if it is determined that test point is congestion source, can find corresponding congestion pair according to test point numbering rapidly
Plan table, and can be existing to congestion source according to the contact method of the police on duty recorded in congestion strategy table, fast dispatch police
Field is dredged, and congestion source is eliminated in bud or shortened the duration in congestion source.
Brief description of the drawings
In order that present disclosure is more likely to be clearly understood, below in conjunction with the accompanying drawings, the present invention is made further in detail
Thin explanation, wherein,
Fig. 1 is the stream of the method for fusion multiple data sources reduction urban traffic blocking degree described in one embodiment of the invention
Cheng Tu；
Fig. 2 is the interface schematic diagram of the test point annotation results of regional Electronic map described in one embodiment of the invention；
Fig. 3 is the method for fusion multiple data sources reduction urban traffic blocking degree described in another embodiment of the present invention
Flow chart；
Fig. 4 be one embodiment of the invention described in judge test point whether be congestion source method flow diagram；
Fig. 5 is to calculate congestion source test point described in one embodiment of the invention to be obstructed the method flow diagram of coefficient；
Fig. 6 is the original of the system of fusion multiple data sources reduction urban traffic blocking degree described in one embodiment of the invention
Reason block diagram；
Fig. 7 is the system of fusion multiple data sources reduction urban traffic blocking degree described in another embodiment of the present invention
Theory diagram.
Specific embodiment
Technical scheme is clearly and completely described below in conjunction with accompanying drawing, it is clear that described implementation
Example is a part of embodiment of the invention, rather than whole embodiments.Based on the embodiment in the present invention, ordinary skill
The every other embodiment that personnel are obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.
As long as and technical characteristic involved in invention described below different embodiments does not constitute conflict just each other
Can be combined with each other.
Embodiment 1
The present embodiment provides a kind of method for merging multiple data sources reduction urban traffic blocking degree, as shown in Figure 1, bag
Include following steps:
S1：The region for needing to merge multiple data sources reduction urban traffic blocking degree is determined on the electronic map, true
Mark test point in fixed region on electronic map between the import and export position and crossing at all crossings, two neighboring test point it
Between distance in the range of given threshold, and be that each test point sets specific numbering；As shown in Fig. 2 the electronic map
It is to need calculating to be obstructed coefficient region standard electronic map.Test point is marked in electronic map, between two adjacent test points
Actual range may be set between 100 meters to 150 meters.The test point can be arranged at any position, be preferably disposed on road
Porch, the exit of mouth, arrow represents travel direction in figure.For electronic map, each inspection itself is record
The geographical position coordinates of measuring point, as long as therefore the upper test point of mark, it is known that the geographical position coordinates of test point are just to determine.
S2：Congestion strategy table is formulated, the on duty of each test point is numbered and administered to the congestion strategy table record test point
The communication modes of police.
The congestion strategy table can be as shown in table 1：
The congestion strategy table of table 1
| Test point is numbered | Police's name on duty | Contact method |
| 121 | First | 1234567890 |
| 122 | First | 1234567890 |
| 123 | First | 1234567890 |
| 124 | Second | 1234567891 |
| 125 | Second | 1234567891 |
| 126 | Second | 1234567891 |
| …… | …… | …… |
As shown in table 1, when test point numbering is 121 to 123, it is responsible for by police's first on duty, when test point numbering is 124
During to 126, it is responsible for by police's second on duty, the like.No matter which test point, can according to test point numbering search immediately
To corresponding police on duty and police's contact method.
S3：Position and the speed data of all mobile phones being located in the region are obtained in real time, by the position of each mobile phone
Associated with speed data into the electronic map in corresponding geographical position coordinates, according in each test point detection range
The average translational speed of all mobile phones, obtains the first real-time road data of the test point；Real-time road data can for peony,
Red, yellow and green, heavy congestion is represented using peony, congestion is represented using red, using yellow represent slowly, use
Green represents unimpeded, and real-time road data can also include the road conditions of geographical position coordinates and geographical position coordinates, when reading
After the road condition data of a certain test point, directly just it is associated with the geographical position coordinates on electronic map.Because electronically
Geographical position coordinates information is record on figure, can directly by the location coordinate information of mobile phone and the location coordinate information of electronic map
Compare, the position of mobile phone and velocity information mark are arrived the corresponding position of electronic map.So as to obtain mobile phone
Current location and translational speed.Existing mobile phone is respectively provided with localization function module, and in real time by own location information send to
Mobile data center, such as existing LBS (Location Based Service, location Based service), by telecommunications
The radio communication network (such as GSM nets, CDMA nets) of mobile operator or outside positioning method (such as GPS) obtain cellphone subscriber
Positional information (geographical coordinate, or geodetic coordinates), in GIS (Geographic Information System, geography information system
System) platform support under, provide the user respective service.Therefore, each mobile phone directly can be obtained from mobile data center
Particular location and velocity information.Specifically, this step can in the following way obtain the first real-time road data：
S31：Be each test point configuration detection range, the starting point of the detection range for the test point and upstream close to
The point midway of test point, the terminal of the detection range is the point midway of the test point and downstream close to test point；If
A certain test point upstream without other test points, then with own as starting point, similarly, if a certain test point downstream is without other
Test point, then with own as terminal.
S32：For each test point, if not finding position and the speed data of mobile phone in its detection range, directly
Connect and it is unimpeded that the road condition data of the test point is labeled as, otherwise obtain the translational speed V of each mobile phone in its detection rangea, its
In 1≤a≤A, A be in the test point detection range mobile phone sum, the speed data of the test point is calculated according to below equation：If that is, there is no mobile phone in the detection range of test point, directly assert the test point detection range
Interior without vehicle, vehicle can be travelled according to Maximum speed limit, then road condition data is unimpeded, is directly represented with green.
S33：If the speed data of test point is more than or equal to the first threshold with the ratio of the Maximum speed limit value in section where it
Value, then the road condition data of the test point is labeled as green；If the speed data of test point and the Maximum speed limit value in section where it
Ratio more than or equal to Second Threshold simultaneously be less than first threshold, then the road condition data of the test point be labeled as yellow；If inspection
The speed data of measuring point is less than the second threshold simultaneously with the ratio of the Maximum speed limit value in section where it more than or equal to the 3rd threshold value
Value, then the road condition data of the test point is labeled as red；If the speed data of test point and the Maximum speed limit value in section where it
Ratio be less than the 3rd threshold value, then the road condition data of the test point be labeled as peony.More than, the first threshold, the second threshold
Value and the 3rd threshold value can voluntarily be set according to actual conditions, and such as first threshold selection is 0.6, and Second Threshold selection is 0.4,
The selection of 3rd threshold value is 0.2.
S4：Road conditions cloud data are read by internet, the corresponding geographical position of each test point is determined according to road conditions cloud data
The real-time road data on coordinate are put, the second real-time road data of test point are obtained；Read road conditions cloud in real time by internet
Data, the real-time road data of reading are classified according to peony, red, yellow and green, and classification results mark is arrived
On electronic map on corresponding test point, this step can directly read corresponding road condition data, road conditions from internet
Data are generally the road condition datas such as the dark red, red of a certain geographical coordinate, yellow, green.Using peony represent heavy congestion,
Using red represent congestion, using yellow represent slowly, using green expression it is unimpeded.Because the inspection of the electronic map in step S1
The geographical coordinate of measuring point is known, therefore very easily can be found from internet and the test point geographical coordinate identical
The traffic information of position, is in which classification in peony, red, yellow and green, by the road conditions of test point according to it
Mark is clear.
S5：The first real-time road data and the second real-time road data are merged, the actual road condition data of test point is obtained, will
The actual road condition data for obtaining is classified according to peony, red, yellow and green, by classification results mark to electronic map
On upper corresponding test point；For example, when the road condition data that two methods are obtained is consistent, then directly using any result as reality
The road condition data on border；When the road condition data that two ways is obtained is inconsistent, the inspection that the current detection cycle obtains can be temporarily abandoned
Result is surveyed, untill road condition data that two kinds of data acquiring modes are obtained is consistent.
S6：For each test point in the region, according to its actual road condition data and the reality of adjacent coordinates point
Road condition data judges whether it is congestion source；
S7：Numbering according to congestion source test point transfers congestion strategy table corresponding with each congestion source test point,
Communication modes according to police on duty dispatch corresponding police carries out traffic dispersion to congestion scene.
The such scheme that the present embodiment is provided, marks multiple test points on the electronic map, between adjacent test point away from
From in the range of given threshold, being that each test point has formulated congestion strategy table, numbered by test point and associate the two.
For each test point, its actual road condition data can be calculated by two ways, be respectively according to mobile phone location and movement
The first real-time road data that speed is obtained, the second real-time road data that road conditions cloud data are obtained are read by internet, are melted
The actual road condition data of each test point is obtained after two data of conjunction.Road condition data according to each test point and its immediate
Detected downstream point road condition data, can interpolate that whether test point is congestion source, if it is determined that test point be congestion source,
The coefficient that is obstructed in the congestion source is then obtained close to the difference of the road condition data between test point according to the test point and downstream.Will
The coefficient that is obstructed in region is supplied to traffic administration person, and the coefficient that is obstructed is that whole city is subdivided into after multiple test points, root
Obtained according to the road conditions of each test point and test point adjacent thereto, can more accurately reflect all of whole city
The road conditions of test point, but also can intuitively be reflected by electronic map, traffic administration person is prompted to, once discovery is received
Resistance coefficient be not zero can quickly find cause the accurate location in traffic congestion source, when a certain test point as congestion source it
Afterwards, corresponding congestion strategy table can be found according to test point numbering rapidly, and can be remembered according in congestion strategy table
The contact method of the police on duty of record, fast dispatch police is dredged to congestion source scene, congestion source is eliminated and is being sprouted
Bud state or the duration in shortening congestion source.
Embodiment 2
On the basis of such scheme, as shown in figure 3, the above method also comprises the following steps：
S61：For each congestion source test point, its coefficient that is obstructed is calculated, especially by method reality as shown in Figure 5
It is existing：
S611：Judge whether congestion source is peony, if then performing step S612, otherwise perform step S614.
S612：Judge downstream close to test point whether be green, if then being obstructed for the congestion source is under current time
Number plus the first numerical value, if otherwise performing step S613, first numerical value can be selected according to actual conditions, the present embodiment
Middle selection is 1.5.
S613：Judge downstream close to test point whether be yellow, if then being obstructed for the congestion source is under current time
Number plus second value；The second value can be selected according to actual conditions, and selection is 1 in the present embodiment；It is otherwise current
When inscribe be obstructed coefficient plus the third value in the congestion source, the third value can be selected according to actual conditions, this
Selection is 0.5 in embodiment.
S614：Judge whether congestion source is red, if then performing step S615, otherwise perform step S616.
S615：Judge downstream close to test point whether be green, if then being obstructed for the congestion source is under current time
Number plus second value, otherwise perform step S616.
S616：Be obstructed coefficient plus the third value in the congestion source under current time.
S617：The coefficient clearing of being obstructed in the congestion source of green will be changed into each second in region.Described first default week
Phase can be selected according to actual conditions, be may be selected 1 second in the present embodiment.
That is, for the test point as congestion source, according to the road of the close test point in direction downstream
Difference between condition and its road conditions determines the coefficient that is obstructed in the congestion source.If downstream close to test point road conditions with should
The road conditions gap in congestion source is bigger, illustrates that the congestion source is larger for the resistance in downstream, therefore the coefficient that is obstructed should be bigger.
For example, a certain congestion source be peony, and the close test point of downstream direction be green situation and downstream direction with
Close to test point be red situation, the former coefficient that is obstructed is greater than the latter.
The above method also comprises the following steps：
S8：The moment of congestion source test point is reached according to police on duty and congestion source test point releases congestion source
At the moment of result of determination, police's congestion process time on duty is obtained, carrying out examination to police on duty according to congestion process time comments
Valency；By the way of this step, the operating efficiency of police on duty and working result can be recorded, can be used as police on duty
Examine the foundation of follow-up evaluation.
S9：The congestion Genesis Information of policeman's feedback is obtained, congestion source is gathered around according to periodicity according to congestion Genesis Information
Stifled or sudden congestion carries out classification storage to it.Each policeman can configure an intelligent terminal, can be with by intelligent terminal
Control centre is communicated, when policeman reach congestion source it is live when, can determine the reason for causing congestion, e.g. because
Accidents, traffic control etc..Policeman can be sent to control centre the origin cause of formation by intelligent terminal, and control centre is divided it
Analysis, is stored after being classified, such as because causing congestion to be periodically morning peak car, because traffic control, thing more
Therefore the congestion that causes is as paroxysmal.Classify by the congestion origin cause of formation, policymaker can be to alleviating test point place
The traffic conditions in section take Corresponding Countermeasures to improve the traffic capacity of road.
Embodiment 3
On the basis of embodiment 1, the present embodiment provide it is a kind of judge test point whether be congestion source method, such as figure
Shown in 4, comprise the following steps：
S61：Judge on the test point of a certain numbering whether be peony, if then performing step S62, otherwise perform step
S63；
S62：Judge the numbering test point downstream close to test point on whether be peony, if otherwise perform step S67,
If then return to step S3；
S63：Judge on the numbering test point whether be red, if then performing step S64, otherwise perform step S65；
S64：Judge the numbering test point downstream close to test point on whether be peony or red, if otherwise performing step
Rapid S67, if then return to step S3；
S65：Judge on the numbering test point whether be yellow, if then performing step S66, otherwise return to step S3；
S66：Judge the numbering test point downstream close to test point on whether be peony or red or yellow, if otherwise
Step S67 is performed, if then return to step S3；
S67：Determine that the numbering test point is congestion source.
If that is, a certain test point be peony, but downstream close to test point be not peony then should
Test point is congestion source.If a certain test point is red, but downstream close to test point be not peony nor
Red, then the test point is congestion source.If a certain test point is yellow, but downstream test point be not peony not yet
It is red nor yellow, then the test point is congestion source.Can quickly and easily be gathered around very much using the judgment mode
Test point corresponding to stifled source, and can be according to where the corresponding relation of test point and geographical position coordinates determines congestion source
Particular location, provide guarantee quickly to eliminate congestion source.
Embodiment 3
The present embodiment provides a kind of system that can merge multiple data sources reduction urban traffic blocking degree, as shown in Figure 6,
Including:
Electronic map labeling module 1, determines to need fusion multiple data sources reduction urban traffic blocking on the electronic map
The region of degree, it is determined that region in mark test point between the import and export position and crossing at all crossings on electronic map,
The distance between two neighboring test point is specifically numbered in the range of given threshold for each test point is set；In electronics
Map label test point, the actual range between two adjacent test points may be set between 100 meters to 150 meters.The inspection
Measuring point can be arranged at any position, be preferably disposed on porch, the exit at crossing, and arrow represents travel direction in figure.It is right
For electronic map, the geographical position coordinates of each test point itself are record, as long as therefore the upper test point of mark, inspection
It is known that the geographical position coordinates of measuring point are just to determine.
Congestion strategy table formulates module 2, formulates congestion strategy table, the congestion strategy table record test point numbering and linchpin
The communication modes of the police on duty of each test point in area；No matter which test point, can according to test point numbering search immediately
To corresponding police on duty and police's contact method.
Data in mobile phone acquisition module 3, obtains position and the speed data of all mobile phones being located in the region in real time, will
The position of each mobile phone associates into the electronic map in corresponding geographical position coordinates with speed data, according to each detection
The average translational speed of all mobile phones in point detection range, obtains the first real-time road data of the test point；Real-time road number
According to can be peony, red, yellow and green, using peony represent heavy congestion, using red represent congestion, using Huang
Color table shows that slowly, represent unimpeded using green, and real-time road data can also include geographical position coordinates and geographical position coordinates
Road conditions, after the road condition data of a certain test point is read, directly just its with electronic map on geographical position coordinates phase
Association.Because record geographical position coordinates information on electronic map, can directly by the location coordinate information of mobile phone with electronically
The location coordinate information of figure is compared, and the position of mobile phone and velocity information mark are arrived the corresponding position of electronic map.From
And current location and the translational speed of mobile phone can be obtained.Existing mobile phone is respectively provided with localization function module, and in real time will be from
Body positional information is sent to mobile data center, such as existing LBS (Location Based Service, based on position
Service), by the radio communication network (such as GSM nets, CDMA nets) of telecommunications mobile operator or outside positioning method (such as
GPS the positional information (geographical coordinate, or geodetic coordinates) of cellphone subscriber) is obtained, in GIS (Geographic Information
System, GIS-Geographic Information System) platform support under, provide the user respective service.Therefore, can directly from mobile data
Center obtains the particular location and velocity information of each mobile phone.Specifically, the first real-time road number can in the following way be obtained
According to：
For each test point configures detection range, the starting point of the detection range is the test point and upstream close to detection
The point midway of point, the terminal of the detection range is the point midway of the test point and downstream close to test point；If a certain
Test point upstream without other test points, then with own as starting point, similarly, if a certain test point downstream is detected without other
Point, then with own as terminal.
For each test point, if not finding position and the speed data of mobile phone in its detection range, directly will
The road condition data of the test point is labeled as unimpeded, otherwise obtains the translational speed V of each mobile phone in its detection rangea, wherein 1≤
A≤A, A are the mobile phone sum in the test point detection range, and the speed data of the test point is calculated according to below equation：If that is, there is no mobile phone in the detection range of test point, directly assert the test point detection range
Interior without vehicle, vehicle can be travelled according to Maximum speed limit, then road condition data is unimpeded, is directly represented with green.
If the speed data of test point is more than or equal to first threshold with the ratio of the Maximum speed limit value in section where it,
The road condition data of the test point is labeled as green；
If the speed data of test point is same more than or equal to Second Threshold with the ratio of the Maximum speed limit value in section where it
When be less than first threshold, then the road condition data of the test point be labeled as yellow；
If the speed data of test point is same more than or equal to the 3rd threshold value with the ratio of the Maximum speed limit value in section where it
When be less than Second Threshold, then the road condition data of the test point be labeled as red；
If the speed data of test point is less than the 3rd threshold value, the detection with the ratio of the Maximum speed limit value in section where it
The road condition data of point is labeled as peony.
More than, the first threshold, Second Threshold and the 3rd threshold value can voluntarily be set according to actual conditions, and such as first
Threshold value selection is 0.6, and Second Threshold selection is 0.4, and the selection of the 3rd threshold value is 0.2.
Internet data acquisition module 4, road conditions cloud data are read by internet, and each inspection is determined according to road conditions cloud data
Real-time road data in the corresponding geographical position coordinates of measuring point, obtain the second real-time road data of test point；By interconnection
Net reads road conditions cloud data in real time, and the real-time road data of reading are classified according to peony, red, yellow and green,
By on classification results mark to test point corresponding on electronic map, this step can directly read corresponding road from internet
Condition data, road condition data is generally the road condition datas such as the dark red, red of a certain geographical coordinate, yellow, green.Using dark red
Color table show heavy congestion, using red represent congestion, using yellow represent slowly, using green expression it is unimpeded.
Data fusion module 5, merges the first real-time road data and the second real-time road data, obtains the reality of test point
Road condition data, the actual road condition data that will be obtained is classified according to peony, red, yellow and green, by classification results mark
Note on test point corresponding on electronic map；For example, when the road condition data that two methods are obtained is consistent, then will directly appoint
One result is used as actual road condition data；When the road condition data that two ways is obtained is inconsistent, current detection can be temporarily abandoned
The testing result that cycle obtains, untill road condition data that two kinds of data acquiring modes are obtained is consistent.
Congestion source judge module 6, for each test point in the region, according to its actual road condition data and phase
The actual road condition data of adjacent coordinate points judges whether it is congestion source；
Policeman's scheduler module 7, the numbering according to congestion source test point is transferred corresponding with each congestion source test point
Congestion source strategy table, dispatching corresponding police according to the communication modes of police on duty carries out traffic to the location of congestion source
Dredge.
The such scheme that the present embodiment is provided, marks multiple test points on the electronic map, between adjacent test point away from
From in the range of given threshold, being that each test point has formulated congestion strategy table, numbered by test point and associate the two.
For each test point, its actual road condition data can be calculated by two ways, be respectively according to mobile phone location and movement
The first real-time road data that speed is obtained, the second real-time road data that road conditions cloud data are obtained are read by internet, are melted
The actual road condition data of each test point is obtained after two data of conjunction.Road condition data according to each test point and its immediate
Detected downstream point road condition data, can interpolate that whether test point is congestion source, if it is determined that test point be congestion source,
The coefficient that is obstructed in the congestion source is then obtained close to the difference of the road condition data between test point according to the test point and downstream.Will
The coefficient that is obstructed in region is supplied to traffic administration person, and the coefficient that is obstructed is that whole city is subdivided into after multiple test points, root
Obtained according to the road conditions of each test point and test point adjacent thereto, can more accurately reflect all of whole city
The road conditions of test point, but also can intuitively be reflected by electronic map, traffic administration person is prompted to, once discovery is received
Resistance coefficient be not zero can quickly find cause the accurate location in traffic congestion source, when a certain test point as congestion source it
Afterwards, corresponding congestion strategy table can be found according to test point numbering rapidly, and can be remembered according in congestion strategy table
The contact method of the police on duty of record, fast dispatch police is dredged to congestion source scene, congestion source is eliminated and is being sprouted
Bud state or the duration in shortening congestion source.
Preferably, as shown in fig. 7, also including policeman's evaluation module 8 in such scheme, reached according to police on duty and gathered around
The moment of stifled source test point and congestion source test point release the moment of congestion source result of determination, obtain police on duty and gather around
Stifled process time, evaluation is carried out according to congestion process time automatically to police on duty；
Congestion origin cause of formation acquisition module 9, obtains the congestion Genesis Information of policeman's feedback, according to congestion Genesis Information by congestion source
Head carries out classification storage according to periodicity congestion or sudden congestion to it.Each policeman can configure an intelligent terminal, pass through
Intelligent terminal can be communicated with control centre, when policeman reach congestion source it is live when, can determine and cause congestion
Reason, e.g. because Accidents, traffic control etc..Policeman can be sent to control centre, control the origin cause of formation by intelligent terminal
Center is analyzed to it, is stored after being classified, for example because morning peak car more cause congestion be periodically, because
For the congestion that traffic control, accident are caused is as paroxysmal.Classify by the congestion origin cause of formation, policymaker can be to alleviating
The traffic conditions in section take Corresponding Countermeasures to improve the traffic capacity of road where the test point.
Further, in such scheme in congestion source judge module 6, judge whether test point is to gather around by following steps
Stifled source：
If peony is labeled as on test point and downstream close to test point on be not peony, the test point is defined as
Congestion source；
If be labeled as on test point red and downstream close to test point on be not peony or red, the test point is true
It is set to congestion source；
If yellow is labeled as on test point and downstream close to test point on be not peony or red or yellow, the inspection
Measuring point is defined as congestion source.
If that is, a certain test point be peony, but downstream close to test point be not peony then should
Test point is congestion source.If a certain test point is red, but downstream close to test point be not peony nor
Red, then the test point is congestion source.If a certain test point is yellow, but downstream test point be not peony not yet
It is red nor yellow, then the test point is congestion source.Can quickly and easily be gathered around very much using the judgment mode
Test point corresponding to stifled source, and can be according to where the corresponding relation of test point and geographical position coordinates determines congestion source
Particular location, provide guarantee quickly to eliminate congestion source.
Preferably, also including coefficients calculation block 10 of being obstructed, calculate it and be obstructed for each congestion source test point and be
Number, the coefficient that is obstructed according to whole congestion source in region add and after obtain the coefficient that always is obstructed in the region, and send prompting and be somebody's turn to do
It is obstructed signal in be always the obstructed region of coefficient of region；Specifically, in the control centre of vehicle supervision department, large-size screen monitors can be provided with and is shown
System, can by display screen show current be always obstructed coefficient and congestion source quantity and position to point out traffic administration person to adjust
Dynamic policeman eliminates or reduces the coefficient that is obstructed.Such scheme in the present embodiment, it is possible to by each in display screen viewing area
If whether the color of test point, each test point are congestion source, the test point for congestion source can also show congestion source
The coefficient that is obstructed of head, and for each test point, additionally it is possible to record its number of times and its work for turning into congestion source
The information such as congestion duration during for congestion source.Manager can select optimization process scheme according to suggested information,
Alleviate the influence that congestion source is brought.
In coefficients calculation block of being obstructed 10, the coefficient that is obstructed of congestion source test point is calculated by following steps：
If it is for peony, and downstream is green close to test point, the coefficient that is obstructed in the congestion source adds under current time
First numerical value；
If it is for peony, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source adds under current time
Second value；
If it is for peony, and downstream is red close to test point, the coefficient that is obstructed in the congestion source adds under current time
Third value；
If it is for red, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the under current time
Two numerical value；
If it is for red, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source plus the under current time
Three numerical value；
If it is yellow, be obstructed coefficient plus the third value in the congestion source under current time；
If congestion source test point is changed into green, the coefficient that is obstructed resets；
More than, the first numerical value>Second value>Third value.
That is, for the test point as congestion source, according to the road of the close test point in direction downstream
Difference between condition and its road conditions determines the coefficient that is obstructed in the congestion source.If downstream close to test point road conditions with should
The road conditions gap in congestion source is bigger, illustrates that the congestion source is larger for the resistance in downstream, therefore the coefficient that is obstructed should be bigger.
For example, a certain congestion source be peony, and the close test point of downstream direction be green situation and downstream direction with
Close to test point be red situation, the former coefficient that is obstructed is greater than the latter.
It should be understood by those skilled in the art that, embodiments of the invention can be provided as method, system or computer program
Product.Therefore, the present invention can be using the reality in terms of complete hardware embodiment, complete software embodiment or combination software and hardware
Apply the form of example.And, the present invention can be used and wherein include the computer of computer usable program code at one or more
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) is produced
The form of product.
The present invention is the flow with reference to method according to embodiments of the present invention, equipment (system) and computer program product
Figure and/or block diagram are described.It should be understood that every first-class during flow chart and/or block diagram can be realized by computer program instructions
The combination of flow and/or square frame in journey and/or square frame and flow chart and/or block diagram.These computer programs can be provided
The processor of all-purpose computer, special-purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that produced for reality by the instruction of computer or the computing device of other programmable data processing devices
The device of the function of being specified in present one flow of flow chart or multiple one square frame of flow and/or block diagram or multiple square frames.
These computer program instructions may be alternatively stored in can guide computer or other programmable data processing devices with spy
In determining the computer-readable memory that mode works so that instruction of the storage in the computer-readable memory is produced and include finger
Make the manufacture of device, the command device realize in one flow of flow chart or multiple one square frame of flow and/or block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented treatment, so as in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames.
Obviously, above-described embodiment is only intended to clearly illustrate example, and not to the restriction of implementation method.It is right
For those of ordinary skill in the art, can also make on the basis of the above description other multi-forms change or
Change.There is no need and unable to be exhaustive to all of implementation method.And the obvious change thus extended out or
Among changing still in the protection domain of the invention.
Claims (10)
- It is 1. a kind of to merge the method that multiple data sources reduce urban traffic blocking degree, it is characterised in that, comprise the following steps:On the electronic map determine need merge multiple data sources reduction urban traffic blocking degree region, it is determined that region On interior electronic map the distance between test point, two neighboring test point are marked between the import and export position and crossing at all crossings In the range of given threshold, and for each test point sets specific numbering；Congestion strategy table is formulated, the congestion strategy table records test point numbering and administers the police's on duty of each test point Communication modes；Position and the speed data of all mobile phones being located in the region are obtained in real time, by the position of each mobile phone and number of speed According in association to corresponding geographical position coordinates in the electronic map, according to all mobile phones in each test point detection range Average translational speed, obtain the first real-time road data of the test point；Road conditions cloud data are read by internet, is determined in the corresponding geographical position coordinates of each test point according to road conditions cloud data Real-time road data, obtain the second real-time road data of test point；The first real-time road data and the second real-time road data are merged, the actual road condition data of test point is obtained, by what is obtained Actual road condition data is classified according to peony, red, yellow and green, and institute on classification results mark to electronic map is right On the test point answered；For each test point in the region, according to its actual road condition data and the actual road condition data of adjacent coordinates point Judge whether it is congestion source；Numbering according to congestion source test point transfers congestion strategy table corresponding with each congestion source test point, according to congestion The communication modes commanding of the police on duty of the administration of the record congestion source test point dispatches corresponding police extremely in strategy table Congestion scene carries out traffic dispersion.
- 2. the method that fusion multiple data sources according to claim 1 reduce urban traffic blocking degree, it is characterised in that, Also comprise the following steps：The moment of congestion source test point is reached according to police on duty and congestion source test point releases congestion source and judges knot At the moment of fruit, police's congestion process time on duty is obtained, evaluation is carried out according to congestion process time automatically to police on duty.
- 3. the method that fusion multiple data sources according to claim 2 reduce urban traffic blocking degree, it is characterised in that, Also comprise the following steps：The congestion Genesis Information of policeman's feedback is obtained, according to congestion Genesis Information by congestion source according to periodicity congestion or burst Property congestion carries out classification storage to it.
- 4. the method that the fusion multiple data sources according to claim any one of 1-3 reduce urban traffic blocking degree, its It is characterised by, obtains position and the speed data of all mobile phones in the region that mobile data center sends, will be every The position of one mobile phone associates into the electronic map in corresponding geographical position coordinates with speed data, according to each test point The average translational speed of all mobile phones in coverage, obtains the road condition data of test point as the first real-time road data, Specifically include：For each test point configures detection range, the starting point of the detection range is the test point and upstream close to test point Point midway, the terminal of the detection range is the point midway of the test point and downstream close to test point；For each test point, if not finding position and the speed data of mobile phone in its detection range, directly this is examined The road condition data of measuring point is labeled as unimpeded, otherwise obtains the translational speed V of each mobile phone in its detection rangea, wherein 1≤a≤ A, A are the mobile phone sum in the test point detection range, and the average speed data of the test point is calculated according to below equation：If the speed data of test point is more than or equal to first threshold, the inspection with the ratio of the Maximum speed limit value in section where it The road condition data of measuring point is labeled as green；If the speed data of test point is simultaneously small more than or equal to Second Threshold with the ratio of the Maximum speed limit value in section where it In first threshold, then the road condition data of the test point is labeled as yellow；If the speed data of test point is simultaneously small more than or equal to the 3rd threshold value with the ratio of the Maximum speed limit value in section where it In Second Threshold, then the road condition data of the test point is labeled as red；If the speed data of test point is less than the 3rd threshold value with the ratio of the Maximum speed limit value in section where it, the test point Road condition data is labeled as peony.
- 5. the method that fusion multiple data sources according to claim 4 reduce urban traffic blocking degree, it is characterised in that：For each test point in the region, according to its actual road condition data and the actual road condition data of adjacent coordinates point Judge whether it is congestion source, specifically include：If peony is labeled as on test point and downstream close to test point on be not peony, the test point is defined as congestion Source；If be labeled as on test point red and downstream close to test point on be not peony or red, the test point is defined as Congestion source；If yellow is labeled as on test point and downstream close to test point on be not peony or red or yellow, the test point It is defined as congestion source.
- 6. fusion multiple data sources according to claim 5 reduce the system, method of urban traffic blocking degree, and its feature exists In for each test point in the region, according to its actual road condition data and the actual road condition data of adjacent coordinates point Judge its whether be also include after congestion source calculating each congestion source test point be obstructed coefficient the step of, specific bag Include：If it is for peony, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the first under current time Numerical value；If it is for peony, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source plus the second under current time Numerical value；If it is for peony, and downstream is red, be obstructed coefficient plus the 3rd in the congestion source under current time close to test point Numerical value；If it is for red, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the second and is counted under current time Value；If its for red downstream close to test point be yellow, be obstructed coefficient plus the 3rd number in the congestion source under current time Value；If it is yellow, be obstructed coefficient plus the third value in the congestion source under current time；If congestion source test point is changed into green, the coefficient that is obstructed resets；More than, the first numerical value>Second value>Third value.
- It is 7. a kind of to merge the system that multiple data sources reduce urban traffic blocking degree, it is characterised in that, including:Electronic map labeling module, determines to need to merge multiple data sources reduction urban traffic blocking degree on the electronic map Region, it is determined that region in mark test point, adjacent two between the import and export position and crossing at all crossings on electronic map The distance between individual test point is specifically numbered in the range of given threshold for each test point is set；Congestion strategy table formulates module, the police on duty of the congestion strategy table record test point numbering and each test point in area under one's jurisdiction The communication modes examined；Data in mobile phone acquisition module, obtains position and the speed data of all mobile phones being located in the region in real time, will be each The position of mobile phone associates into the electronic map in corresponding geographical position coordinates with speed data, is examined according to each test point The average translational speed of all mobile phones in the range of survey, obtains the first real-time road data of the test point；Internet data acquisition module, road conditions cloud data are read by internet, and each test point is determined according to road conditions cloud data Real-time road data in corresponding geographical position coordinates, obtain the second real-time road data of test point；Data fusion module, merges the first real-time road data and the second real-time road data, obtains the actual road conditions of test point Data, the actual road condition data that will be obtained is classified according to peony, red, yellow and green, and classification results mark is arrived On electronic map on corresponding test point；Congestion source judge module, for each test point in the region, according to its actual road condition data and adjacent seat The actual road condition data of punctuate judges whether it is congestion source；Policeman's scheduler module, the numbering according to congestion source test point transfers congestion pair corresponding with each congestion source test point Plan table, the communication modes scheduling according to the police on duty of the area under one's jurisdiction congestion source test point recorded in congestion strategy table is corresponding alert Examining to congestion scene carries out traffic dispersion.
- 8. the system that fusion multiple data sources according to claim 6 reduce urban traffic blocking degree, it is characterised in that, Also include：Evaluation module, reaches the moment of congestion source test point and congestion source test point is released and gathered around according to police on duty At the moment of stifled source result of determination, police's congestion process time on duty is automatically derived, according to congestion process time to police on duty Automatically evaluation is carried out.
- 9. the system that fusion multiple data sources according to claim 7 reduce urban traffic blocking degree, it is characterised in that, Also include：Congestion origin cause of formation acquisition module, obtains the congestion Genesis Information of policeman's feedback, is pressed congestion source according to congestion Genesis Information Classification storage is carried out to it according to periodicity congestion or sudden congestion.
- 10. the system that the fusion multiple data sources according to claim any one of 7-9 reduce urban traffic blocking degree, its It is characterised by, also including the coefficients calculation block of being obstructed, the coefficient that is obstructed of congestion source test point is calculated by following steps：If it is for peony, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the first under current time Numerical value；If it is for peony, and downstream is yellow close to test point, the coefficient that is obstructed in the congestion source plus the second under current time Numerical value；If it is for peony, and downstream is red, be obstructed coefficient plus the 3rd in the congestion source under current time close to test point Numerical value；If it is for red, and downstream is green close to test point, the coefficient that is obstructed in the congestion source plus the second and is counted under current time Value；If its for red downstream close to test point be yellow, be obstructed coefficient plus the 3rd number in the congestion source under current time Value；If it is yellow, be obstructed coefficient plus the third value in the congestion source under current time；If congestion source test point is changed into green, the coefficient that is obstructed resets；More than, the first numerical value>Second value>Third value.
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Application publication date: 20170704 |