CN106355913B - A kind of traffic control method based on text mining - Google Patents
A kind of traffic control method based on text mining Download PDFInfo
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- CN106355913B CN106355913B CN201610836855.7A CN201610836855A CN106355913B CN 106355913 B CN106355913 B CN 106355913B CN 201610836855 A CN201610836855 A CN 201610836855A CN 106355913 B CN106355913 B CN 106355913B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/091—Traffic information broadcasting
- G08G1/093—Data selection, e.g. prioritizing information, managing message queues, selecting the information to be output
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
- G06F16/3346—Query execution using probabilistic model
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- Traffic Control Systems (AREA)
Abstract
The present invention provides a kind of traffic control methods based on text mining, comprising: step 100, obtains the text information of traffic control；Step 200, the radiation scope of crossroad is determined；Step 300, the keyword in the crossroad radiation scope is determined；Step 400, the keyword frequency of occurrences and number are counted；Step 500, the degree of Congestion of the crossroad is predicted；Step 600, the traffic control information of the crossroad is adjusted；Step 700, the period of epicycle traffic control adjustment is determined.The present invention can be according to text information relevant to traffic control in certain time, analyze the following a period of time possible degree of Congestion in specified crossroad, it is adjusted based on traffic control information of the degree of Congestion to specified crossroad, avoid traffic congestion, people's trip quality is improved, is conducive to build low-carbon society.
Description
Technical field
The present invention relates to field of traffic control, in particular to a kind of traffic control method based on text mining.
Background technique
In recent years, Britain, Australia, Europe and the U.S. establish traffic control system in certain cities.At these
It is most of that magnetic loop detector is all installed near each crossing in system, and by the control device at each crossing or work people
Traffic control parameter by communication networks input microprocessors such as telephone wire, cable, closed-circuit television lines, is used minicomputer by member
Carry out centralized control.
The country has the urban traffic control and management system of some independent developments at present, but more same than external in overall performance
Class system still has larger gap, only obtains some applications in some small and medium-sized cities.The friendship that domestic city especially big city is introduced
Way system is largely SCOOT the and SCATS system of import.Since China's traffic flow is mixed traffic flow, and external traffic
Stream differs widely, and the using effect of external traffic control system at home is unsatisfactory.Compared with foreign countries, the current traffic in China
Situation is also relatively backward, is mainly manifested in:
(1) urban road unreasonable structure, most cities road space structure category plane traffic behavior form " people's vehicle
Mixed row, speed car is mixed to be sailed " the characteristics of.Primary and secondary arterial highway and branch line are out of proportion, and joining relation disorder makes arterial road be difficult to send out
Wave its function.For path area, domestic urban road area ratio is lower than same size big city in the world.
(2) traffic trip unbalance of structure.Domestic urban transportation is mainly by various motor vehicles, non-motor vehicle and pedestrian's structure
At forming special ternary mixed traffic structure.
(3) traffic management technology level is low, frequent accidents.Two quasi-representatives are presented the problem of Urban Transport at present
Phenomenon: management is ineffective, disorder；Without scientific, reasonable, effective City Traffic Monitor System.Thus bring consequence day
Become serious.The road network traffic capacity is shown as significantly lower than design requirement and fluctuation is big, the travel time, it is difficult to predict, high-incidence friendships
Interpreter's event, traffic environment deteriorate, traveler is easy fatigue etc..
Summary of the invention
The present invention is to solve the above problems, provide a kind of traffic control method based on text mining, which is characterized in that
The following steps are included:
Step 100, the text information of traffic control is obtained；
Step 200, the radiation scope of crossroad is determined；
Step 300, the keyword in the crossroad radiation scope is determined；
Step 400, the keyword frequency of occurrences and number are counted；
Step 500, the degree of Congestion of the crossroad is predicted；
Step 600, the traffic control information of the crossroad is adjusted；
Step 700, the period of epicycle traffic control adjustment is determined.
The present invention can analyze specified crossroad future according to text information relevant to traffic control in certain time
Possible degree of Congestion for a period of time is adjusted based on traffic control information of the degree of Congestion to specified crossroad, is avoided
Traffic congestion improves people's trip quality, is conducive to build low-carbon society.
Specific embodiment
It to make the object, technical solutions and advantages of the present invention clearer, below will be to the technology in the embodiment of the present invention
Scheme is clearly and completely described, it is clear that and described embodiments are some of the embodiments of the present invention, rather than whole
Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are obtained without creative efforts
The every other embodiment obtained, shall fall within the protection scope of the present invention.
The embodiment of the present invention one discloses a kind of traffic control method based on text mining, which is characterized in that including with
Lower step:
Step 100, the text information of traffic control is obtained；
Step 200, the radiation scope of crossroad is determined；
Step 300, the keyword in the crossroad radiation scope is determined；
Step 400, the keyword frequency of occurrences and number are counted；
Step 500, the degree of Congestion of the crossroad is calculated；
Step 600, the traffic control information of the crossroad is adjusted；
Step 700, the period of epicycle traffic control adjustment is determined.
The embodiment of the present invention two discloses a kind of traffic control method based on text mining, which is characterized in that including with
Lower step:
Step 100, the text information of traffic control is obtained；
The method that the text information of traffic control is obtained in the step 100 includes but are not limited to crawl short message,
Grab map software information and crawl internet information.
Step 200, the radiation scope of crossroad is determined；
The step 200 further comprises:
Step 220, the two road rank by the crossroad is determined；
The road grade criteria for classifying in the present invention are as follows: urban road ranking score through street, trunk roads, secondary distributor road, branch
Level Four, red line width controls at different levels: through street is not less than 40 meters, 30-40 meters of major trunk roads, 25-40 meters of subsidiary road, branch 12-
25 meters.
It is (strong there is no making for the red line width of road according to " urban road engineering design specification " (CJJ37-2012)
Property requirement processed only requires the road width of road, cross section composition and each functional bands minimum widith are required)
Level-one road is through street, and value 1: being equipped with median strip in urban road, has four or more car lanes,
It is all or part of to be entered and left using crossings on different level and control, the road travelled at a relatively high speed for automobile.Also known as parkway.Fastly
The designed driving speed on fast road is 60-80km/h.
Second grade highway is trunk roads, value 2: the main line of each subregion in city is connected, based on communication function.Trunk roads are set
Meter running speed is 40-60km/h.
Tertiary road is secondary distributor road, value 3: undertakes the collecting and distributing effect of traffic of trunk roads Yu each by stages, has service function concurrently
Energy.The designed driving speed of secondary distributor road is 40km/h.
Level Four road be branch, value 4: the connecting line of secondary distributor road and neighbour road (cell road), based on service function.Branch
The designed driving speed on road is 30km/h.
Step 240, the number of track-lines in the two road by the crossroad is determined；
Step 260, the heavy construction quantity between the crossroad and neighbouring crossroad is determined, it is big in the present invention
Type building refers to:
The building engineering of 25 layers or more (containing, similarly hereinafter)；Highly 100 meters or more of structures or building engineering；It is single
30,000 square metres of body construction area or more of building engineering；
30 meters of single span or more of building engineering；100,000 square metres of construction area or more of residential quarters or building
Group project；The building engineering of 100,000,000 yuan of contract amount of peace or more is built in individual event；
15 meters of depth or more, and 10,000,000 yuan of individual works contract amount or more of Soft foundation treatment engineering；Single pile is born
Load 6000kN or more, and 10,000,000 yuan of individual works contract amount or more of ground and foundation engineering；11 meters of depth or more, and it is single
The Large and Deep Foundation Pit and earth and rock works of 10,000,000 yuan of volume of engineering contract of item；1000 tons of steel construction weight or more, and steel construction
20,000 square metres of construction area or more of structural steelwork；300 tons of grid structure weight or more, and grid structure construction area
5000 square metres or more, and 70 meters of rack side length or more of rack engineering；
Step 280, the radiation scope of the crossroad is calculated according to the road nature, number of track-lines and the size of population,
Calculate the formula of radiation scope are as follows:
Wherein Rad is the radiation scope of the crossroad, L1And L2Respectively by first of the crossroad and
Article 2 road grade, N1And N2Respectively by the first lane quantity with Article 2 road of the crossroad, NcFor
Heavy construction quantity around the crossroad, α and β are respectively first and Article 2 road by the crossroad
Weight coefficient, have α, a β ∈ [0,1], and alpha+beta=1, λ is radiation scope coefficient, can be adjusted according to city size, preferably
It is 5.
Usually, the road grade value by a crossroad is smaller, illustrates that this crossroad is more important, if
Number of track-lines by a crossroad is more, illustrates that this crossroad is more important, if the heavy construction around crossroad
It is more, illustrate that this crossroad is more important.So radiation scope calculation formula of the invention is able to reflect out different parameters to spoke
The influence and significance level of range are penetrated, and the use of radiation scope coefficient enables to city of this formula suitable for different scales
City has further expanded the practicality.
Step 300, determine that the keyword in the crossroad radiation scope, the keyword in the step 300 include
But it is not limited only to address, street name, number, building name, organization, performance title, tournament names.
Step 400, the keyword frequency of occurrences and number are counted；
The step 400 further comprises:
Step 420, the keyword in text information is extracted；
Step 440, the total degree that each keyword occurs in text information is counted；
Step 450, the total degree N that all keywords occur in text information is calculated
Wherein wiFor the total degree that i-th of keyword occurs, n is the quantity of keyword；
Step 460, the true number W that i-th of keyword occurs in text information is calculatedi,
Wherein wjFor the total degree that j-th of keyword occurs, rijFor the similar journey of j-th of keyword and i-th of keyword
Spend coefficient, rijThe calculation of the cosine based on space vector can be used in ∈ [0,1], i, j ∈ [1, n], similarity degree coefficient calculation method
Method；
The true number that so-called keyword occurs is because a place name may have different form of presentation, different passes
Keyword may be strong correlation, such as " State Intellectual Property Office " and " office is known by state " can be considered as the same keyword, with address
" Xitucheng Lu 6 " is also strong correlation, and similarity degree coefficient is exactly the measurement for describing to contact between keyword, is had no associated
Similarity degree coefficient is 0 between keyword, and the similarity degree coefficient of keyword full name and abbreviation is 1.
Step 470, the frequency f that i-th of keyword occurs is calculatedi
Wherein Δ t is the time cycle for counting the keyword in text information；
Step 480, the number and frequency occurred according to keyword calculates the temperature h of the crossroad
Wherein WkFor the true number that k-th of keyword in the crossroad radiation scope occurs, fkFor the cross
The frequency that k-th of keyword in the radiation scope of crossing occurs, nradFor the keyword number in the crossroad radiation scope
Amount, γ is adjustment factor, γ ∈ [0,1].
Step 500, the degree of Congestion of the crossroad is predicted, method particularly includes:
Step 600, the traffic control information of the crossroad is adjusted, method particularly includes:
Given first threshold T broadcasts warning information to citywide automobile, mentions if degree of Congestion is greater than first threshold
Show that the crossroad is likely to occur congestion, citizen is reminded to adjust traffic path；
Step 700, the period of epicycle traffic control adjustment is determined, the duration for adjusting the period is preferably 30 minutes.
This will not be repeated here with method something in common for other, and details please refer to method declaratives.
The embodiment of the present invention can analyze specified four crossway according to text information relevant to traffic control in certain time
The following a period of time possible degree of Congestion of mouth, is adjusted according to traffic control information of the degree of Congestion to specified crossroad, keeps away
Exempt to cause traffic congestion, improves people's trip quality, be conducive to build low-carbon society.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features；
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (3)
1. a kind of traffic control method based on text mining, which comprises the following steps:
Step 100, obtain the text information of traffic control, the text information includes short message, map software information and
Internet information；
Step 200, the radiation scope of crossroad is determinedWherein, L1And L2Respectively pass through
Cross first and Article 2 road grade of the crossroad, N1And N2Respectively by first of the crossroad and
The lane quantity of Article 2 road, NcFor the heavy construction quantity around the crossroad, α and β are respectively to pass through described ten
The weight coefficient of first of word crossing and Article 2 road have α, β ∈ [0,1], and alpha+beta=1, λ is radiation scope coefficient；
Step 300, determine that the keyword in the crossroad radiation scope, the keyword include address, street name, door
The trade mark, building name, organization perform title, tournament names；
Step 420, the keyword in text information is extracted；
Step 440, the total degree w that each keyword occurs in text information is countedi；
Step 450, the total degree N that all keywords occur in text information is calculated；
Step 460, the true number that i-th of keyword occurs in text information is calculated
Wherein wjFor the total degree that j-th of keyword occurs, rijFor the similarity degree system of j-th of keyword and i-th of keyword
Number, rij∈ [0,1], i, j ∈ [1, n], n are the quantity of keyword；
Step 470, the frequency that i-th of keyword occurs is calculated
Wherein WiFor the true number that i-th of keyword occurs, Δ t is the time cycle for counting the keyword in text information；
Step 480, the number and frequency occurred according to keyword calculates the temperature of the crossroad
Wherein WkFor the true number that k-th of keyword in the crossroad radiation scope occurs, fkFor the crossroad
The frequency that k-th of keyword in radiation scope occurs, nradFor the keyword quantity in the crossroad radiation scope, γ
For adjustment factor, γ ∈ [0,1]；
Step 500, the degree of Congestion of the crossroad is predicted
Step 600, the traffic control information of the crossroad is adjusted；
Step 700, the period of epicycle traffic control adjustment is determined.
2. the traffic control method according to claim 1 based on text mining, which is characterized in that in the step 600
The method that the traffic control information of the crossroad is adjusted are as follows: if degree of Congestion is greater than first threshold T, to complete
The automobile in city broadcasts warning information.
3. the traffic control method according to claim 1 based on text mining, which is characterized in that in the step 700
Adjust the period when it is 30 minutes a length of.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102610101A (en) * | 2012-04-01 | 2012-07-25 | 北京世纪高通科技有限公司 | Method for collecting information of traffic incidents |
| CN103236163A (en) * | 2013-04-28 | 2013-08-07 | 北京航空航天大学 | Traffic jam avoiding prompting system based on collective intelligence network |
| CN103942955A (en) * | 2014-03-24 | 2014-07-23 | 河北盛航通信科技有限公司 | Traffic road condition trend predicting and prompting system based on mobile network |
| WO2015012029A1 (en) * | 2013-07-24 | 2015-01-29 | アイシン・エィ・ダブリュ株式会社 | Submission retrieval system, submission retrieval device, submission retrieval method, and computer program |
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2016
- 2016-09-21 CN CN201610836855.7A patent/CN106355913B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102610101A (en) * | 2012-04-01 | 2012-07-25 | 北京世纪高通科技有限公司 | Method for collecting information of traffic incidents |
| CN103236163A (en) * | 2013-04-28 | 2013-08-07 | 北京航空航天大学 | Traffic jam avoiding prompting system based on collective intelligence network |
| WO2015012029A1 (en) * | 2013-07-24 | 2015-01-29 | アイシン・エィ・ダブリュ株式会社 | Submission retrieval system, submission retrieval device, submission retrieval method, and computer program |
| CN103942955A (en) * | 2014-03-24 | 2014-07-23 | 河北盛航通信科技有限公司 | Traffic road condition trend predicting and prompting system based on mobile network |
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