CN106448199A - Traffic control method based on text mining - Google Patents
Traffic control method based on text mining Download PDFInfo
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- CN106448199A CN106448199A CN201610836901.3A CN201610836901A CN106448199A CN 106448199 A CN106448199 A CN 106448199A CN 201610836901 A CN201610836901 A CN 201610836901A CN 106448199 A CN106448199 A CN 106448199A
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- crossroad
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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
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- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Abstract
The invention provides a traffic control method based on text mining. The method comprises: step 100, acquiring text information of traffic control; step 200, determining the coverage of a crossroad; step 300, determining keywords within the coverage of the crossroad; step 400, collecting statistics on the frequency and number of occurrence of the keywords; step 500, predicting the degree of congestion of the crossroad; step 600, adjusting the traffic control information of the crossroad; and step 700, determining the cycle of current traffic control adjustment. By adopting the method, the degree of possible congestion of the crossroad within a period of future time can be analyzed according to the text information related to traffic control within certain time, and the traffic control information of the specific crossroad is adjusted based on the degree of congestion, so that traffic jam is avoided, the travel quality is improved, and the construction of a low-carbon society is beneficial.
Description
Technical field
The present invention relates to field of traffic control, particularly to a kind of traffic control method based on text mining.
Background technology
In recent years, Britain, Australia, Europe and the U.S. all establish traffic control system in some cities.At these
In system, major part is all provided with magnetic loop detector near each crossing, and the control device by each crossing or work people
Traffic control parameter is passed through the communication network input microprocessor such as telephone wire, cable, closed-circuit television line by member, uses minicomputer
Carry out centralized Control.
The urban traffic control of domestic at present some independent developments existing and management system, but more same than abroad 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
The most of SCOOT and SCATS system for import of way system.Because China's traffic flow is mixed traffic flow, and external traffic
Stream differs widely, and external traffic control system using effect at home is unsatisfactory.Compared with abroad, the current traffic of China
Situation is also relatively backward, is mainly manifested in：
(1) urban road unreasonable structure, most cities road space structure belongs to plane traffic behavior, forms " people's car
Mixed row, speed car mix sails " feature.Primary and secondary arterial highway and branch line are out of proportion, and joining relation is disorderly, make arterial road be difficult to send out
Wave its function.For path area, domestic urban road area ratio is less 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
Become, form special ternary mixed traffic structure.
(3) traffic management technology level is low, frequent accidents.The problem of Urban Transport assumes two quasi-representatives at present
Phenomenon：Management is ineffective, disorder；There is no science, reasonable, effective City Traffic Monitor System.The consequence day thus bringing
Become serious.Show as that the road network traffic capacity is significantly lower than that design requirement and undulatory property be big, the travel time is difficult to predict, friendship occurred frequently
Interpreter's event, traffic environment deteriorate, traveler easily fatigue etc..
Content of the invention
The present invention be solve the above problems, there is provided a kind of traffic control method based on text mining it is characterised in that
Comprise the following steps：
Step 100, obtains the text message of traffic control；
Step 200, determines the radiation scope of crossroad；
Step 300, determines the key word in the radiation scope of described crossroad；
Step 400, counts described keyword frequency of occurrences and number of times；
Step 500, predicts the degree of Congestion of described crossroad；
Step 600, is adjusted to the traffic control information of described crossroad；
Step 700, determines the cycle of epicycle traffic control adjustment.
The present invention can analyze and specify crossroad future according to related to traffic control text message in certain time
Degree of Congestion possible for a period of time, is adjusted to the traffic control information of specified crossroad based on degree of Congestion, it is to avoid cause
Traffic congestion, improves people's trip quality, is conducive to building low carbon society.
Specific embodiment
For making the object, technical solutions and advantages of the present invention clearer, below by the technology in the embodiment of the present invention
Scheme is clearly and completely described it is clear that described embodiment a part of embodiment that is the present invention, rather than whole
Embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art are obtained under the premise of not making creative work
The every other embodiment obtaining, broadly falls into the scope of protection of the invention.
The embodiment of the present invention one disclose a kind of traffic control method based on text mining it is characterised in that include with
Lower step：
Step 100, obtains the text message of traffic control；
Step 200, determines the radiation scope of crossroad；
Step 300, determines the key word in the radiation scope of described crossroad；
Step 400, counts described keyword frequency of occurrences and number of times；
Step 500, calculates the degree of Congestion of described crossroad；
Step 600, is adjusted to the traffic control information of described crossroad；
Step 700, determines the cycle of epicycle traffic control adjustment.
The embodiment of the present invention two disclose a kind of traffic control method based on text mining it is characterised in that include with
Lower step：
Step 100, obtains the text message of traffic control；
The method obtaining the text message of traffic control in described step 100 includes but are not limited to capture short message,
Crawl map software information and crawl internet information.
Step 200, determines the radiation scope of crossroad；
Described step 200 further includes：
Step 220, determines the two road rank through described crossroad；
The road grade criteria for classifying in the present invention is：Urban road ranking score through street, trunk roads, secondary distributor road, branch road
Level Four, red line width control system 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 road 12
25 meters.
(according to《Urban road engineering design specification》(CJJ37-2012), the red line width of road is not had and make by force
Property processed requires, and only the road width of road is required, transverse section composition and each functional bands minimum widith are required)
One-level road is through street, and value is 1：It is provided with median strip in urban road, there are more than four car lanes,
Completely or partially adopt crossings on different level and come in and go out with controlling, the road travelling at a relatively high speed for automobile.Also known as parkway.Hurry up
The designed driving speed on fast road is 60-80km/h.
Second grade highway is trunk roads, and value is 2：Connect the main line of each subregion in city, based on communication function.The setting of trunk roads
Meter road speed is 40-60km/h.
Tertiary road is secondary distributor road, and value is 3：Undertake the collecting and distributing effect of traffic of trunk roads and each by stages, have service work(concurrently
Energy.The designed driving speed of secondary distributor road is 40km/h.
Level Four road is branch road, and value is 4：Secondary distributor road and the connecting line on neighbour road (cell road), based on service function.?
The designed driving speed on road is 30km/h.
Step 240, determines the number of track-lines in the two road through described crossroad；
Step 260, determines the heavy construction quantity between described crossroad and neighbouring crossroad, big in the present invention
Type building refers to：
The building engineering of more than 25 layers (containing, similarly hereinafter)；Highly more than 100 meters of structures or building engineering；Single
The building engineering that more than 30,000 square metres of body construction area；
The building engineering that more than 30 meters of single span；The residential quarters or building that more than 100,000 square metres of construction area
Group project；The building engineering of more than 100,000,000 yuan of contract amount of peace is built in individual event；
More than 15 meters of depth, and the Soft foundation treatment engineering of more than 10,000,000 yuan of individual works contract amount；Single pile bears
More than load 6000kN, and the ground of more than 10,000,000 yuan of individual works contract amount and foundation engineering；More than 11 meters of depth, and single
The Large and Deep Foundation Pit of 10,000,000 yuan of engineering contract volume of item and earth and rock works；More than 1000 tons of steel construction weight, and steel construction
The structural steelwork that more than 20,000 square metres of construction area；More than 300 tons of grid structure weight, and grid structure construction area
More than 5000 square metres, and the rack engineering of more than 70 meters of the rack length of side；
Step 280, calculates the radiation scope of described crossroad according to described road nature, number of track-lines and the size of population,
Calculate radiation scope formula be：
Wherein Rad is the radiation scope of described crossroad, L1And L2Be respectively through first of described crossroad and
Article 2 road grade, N1And N2It is respectively the first track quantity with Article 2 road through described crossroad, NcFor
Heavy construction quantity around described crossroad, α and β is respectively first and Article 2 road through described crossroad
Weight coefficient, have a α, β ∈ [0,1], and alpha+beta=1, λ is radiation scope coefficient, can be adjusted according to city size, preferably
For 5.
As a rule, less through the road grade value of a crossroad, illustrate that this crossroad is more important, if
Number of track-lines through a crossroad is more, illustrates that this crossroad is more important, if the heavy construction around crossroad
More, illustrate that this crossroad is more important.So the radiation scope computing formula of the present invention can reflect different parameters to spoke
Penetrate impact and the significance level of scope, and the use of radiation scope coefficient enables to the city that this formula is applied to different scales
City, has further expanded its practicality.
Step 300, determines the key word in the radiation scope of described crossroad, and the key word in described step 300 includes
But it is not limited only to address, street name, number, building name, organization, perform title, tournament names.
Step 400, counts described keyword frequency of occurrences and number of times；
Described step 400 further includes：
Step 420, extracts the key word in text message；
Step 440, the total degree that in statistics text message, each key word occurs；
Step 450, calculates the total degree N that in text message, all key words occur
Wherein wiFor the total degree of i-th key word appearance, n is the quantity of key word；
Step 460, calculates the true number of times W of i-th key word appearance in text messagei,
Wherein wjFor the total degree of j-th key word appearance, rijSimilar journey for j-th key word and i-th key word
Degree coefficient, rij∈ [0,1], i, j ∈ [1, n], similarity degree coefficient calculation method can use the cosine based on space vector to calculate
Method；
The true number of times that so-called key word occurs, is because that a place name may have different form of presentations, different pass
Keyword is probably strong correlation, and such as " State Intellectual Property Office " and " office is known by state " can be considered as same key word, with address
" Xitucheng Lu 6 " is also strong correlation, and similarity degree coefficient is exactly the tolerance describing contact between key word, uncorrelated in the least
Between key word, similarity degree coefficient is 0, and key word full name is 1 with the similarity degree coefficient of abbreviation.
Step 470, calculates frequency f of i-th key word appearancei
Wherein Δ t is the time cycle of the key word in statistics text message；
Step 480, the number of times being occurred according to key word and frequency calculate temperature h of described crossroad
Wherein WkThe true number of times occurring for k-th key word in the radiation scope of described crossroad, fkFor described cross
The frequency that k-th key word in the radiation scope of crossing occurs, nradFor the key word number in the radiation scope of described crossroad
Amount, γ is adjustment factor, γ ∈ [0,1].
Step 500, predicts the degree of Congestion of described crossroad, and concrete grammar is：
Step 600, is adjusted to the traffic control information of described crossroad, and concrete grammar is：
Given first threshold T, if degree of Congestion is more than first threshold, then report early warning information to citywide automobile, carry
Show that this crossroad is likely to occur congestion, remind citizen's adjustment traffic path；
Step 700, determines the cycle of epicycle traffic control adjustment, and the duration in adjustment cycle is preferably 30 minutes.
Other be will not be described here with method something in common, and details refer to method declaratives.
The embodiment of the present invention can be analyzed and specify four crossway according to related to traffic control text message in certain time
The following degree of Congestion possible for a period of time of mouth, is adjusted to the traffic control information of specified crossroad according to degree of Congestion, keeps away
Exempt to cause traffic congestion, improve people's trip quality, be conducive to building low carbon society.
Finally it should be noted that：Above example only in order to technical scheme to be described, is not intended to limit；Although
With reference to the foregoing embodiments the present invention is described in detail, it will be understood by those within the art that：It still may be used
To modify to the technical scheme described in foregoing embodiments, or equivalent is carried out to wherein some technical characteristics；
And these modification or replace, do not make appropriate technical solution essence depart from various embodiments of the present invention technical scheme spirit and
Scope.
Claims (4)
1. a kind of traffic control method based on text mining is it is characterised in that comprise the following steps：
Step 100, obtains the text message of traffic control；
Step 200, determines the radiation scope of crossroad；
Step 300, determines the key word in the radiation scope of described crossroad；
Step 400, counts described keyword frequency of occurrences and number of times；
Step 500, predicts the degree of Congestion of described crossroad；
Step 600, is adjusted to the traffic control information of described crossroad；
Step 700, determines the cycle of epicycle traffic control adjustment.
2. the traffic control method based on text mining according to claim 1 is it is characterised in that in described step 100
The method obtaining the text message of traffic control includes but are not limited to capture short message, captures map software information and grabs
Take internet information.
3. the traffic control method based on text mining according to claim 1 is it is characterised in that described step 200 is entered
One step includes：
Step 220, determines the two road rank through described crossroad；
Step 240, determines the number of track-lines in the two road through described crossroad；
Step 260, determines the heavy construction quantity between described crossroad and neighbouring crossroad；
Step 280, calculates the radiation scope of described crossroad according to described road nature, number of track-lines and the size of population, calculates
The formula of radiation scope is：
Wherein Rad is the radiation scope of described crossroad, L1And L2It is respectively first and second through described crossroad
Bar road grade, N1And N2It is respectively the first track quantity with Article 2 road through described crossroad, NcFor described
Heavy construction quantity around crossroad, α and β is respectively first power with Article 2 road through described crossroad
Weight coefficient, has α, β ∈ [0,1], and alpha+beta=1, and λ is radiation scope coefficient.
4. the traffic control method based on text mining according to claim 1 is it is characterised in that in described step 300
Key word include but are not limited to address, street name, number, building name, organization, perform title, match
Title.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101887440A (en) * | 2009-05-13 | 2010-11-17 | 财团法人资讯工业策进会 | Hot spot analytic system and method |
| 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 |
| CN204256966U (en) * | 2014-12-11 | 2015-04-08 | 杨绍鹏 | Intelligence commander managing and control system |
| CN105702058A (en) * | 2016-02-29 | 2016-06-22 | 宇龙计算机通信科技(深圳)有限公司 | Crossroad traffic light intelligent control method and system on the basis of vehicle positioning |
-
2016
- 2016-09-21 CN CN201610836901.3A patent/CN106448199B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101887440A (en) * | 2009-05-13 | 2010-11-17 | 财团法人资讯工业策进会 | Hot spot analytic system and method |
| 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 |
| CN204256966U (en) * | 2014-12-11 | 2015-04-08 | 杨绍鹏 | Intelligence commander managing and control system |
| CN105702058A (en) * | 2016-02-29 | 2016-06-22 | 宇龙计算机通信科技(深圳)有限公司 | Crossroad traffic light intelligent control method and system on the basis of vehicle positioning |
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