CN104732765B - Urban road saturation degree method of real-time based on bayonet socket data - Google Patents
Urban road saturation degree method of real-time based on bayonet socket data Download PDFInfo
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- CN104732765B CN104732765B CN201510144147.2A CN201510144147A CN104732765B CN 104732765 B CN104732765 B CN 104732765B CN 201510144147 A CN201510144147 A CN 201510144147A CN 104732765 B CN104732765 B CN 104732765B
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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
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
Abstract
The invention discloses a kind of urban road saturation degree method of real-time based on bayonet socket data.The present invention monitors the wheelpath of each car in units of crossing car information.Built car information aggregate to deposit a series of bayonet socket numbering that car sequencing temporally in the time range for setting is passed through, added 1 to the value of each adjacent bayonet socket pair.All car information aggregates excessively in by magnanimity traffic flow, calculate the value of each adjacent bayonet socket pair, the value of the adjacent bayonet socket pair ratio poor with setting time draws the volume of traffic of the road, road Traffic Volume is road saturation degree with the ratio of road passage capability, so as to complete the urban road saturation degree real-time monitoring based on bayonet socket data.The present invention can be precisely calculated the value of road saturation degree by obtaining the bayonet socket data in central database.Car data is crossed by real-time bayonet socket and calculates real-time urban road saturation degree, so result of calculation has more real-time.
Description
Technical field
A kind of the present invention relates to data mining technology and image identification technical field, more particularly to city based on bayonet socket data
City's road saturation degree method of real-time.
Background technology
With economic fast development, China human mortality quantity and vehicles number also increase severely therewith, and the volume of traffic is quick
Increase and the imperfection of urban road construction brings many traffic problems.The different brackets of Assessment of Serviceability of Roads can reflect
Go out road user under different traffic flow conditions, the aspect such as getable speed, economy, comfortableness service journey
Degree, and road saturation degree is to reflect one of important indicator of Assessment of Serviceability of Roads.The research of existing road saturation degree at present
It is manual research or traffic data is obtained by conversion after observation is obtained (volume of traffic was referred within the unit interval, by road
On a certain section actual participation traffic vehicle fleet size；Road saturation degree is the ratio of the volume of traffic and road passage capability.),
And different congestion in road are arranged as real-time road important parameter according to the size of speed using the average speed of road
Rank, but this set can cause the accuracy of real-time road condition information to reduce because parameter is excessively single.Traditional road is satisfied
Two problems are primarily present with degree research：1) traffic data is obtained by conversion after manual research or observation, data
Accuracy not high, influence whether results of calculation；2) traffic data is not real time data, it is impossible to which the road that upgrades in time is satisfied
With the value of degree, the real-time of road saturation degree can be so affected.Therefore, at present in the urgent need to one kind can be counted in real time and accurately
The method for calculating road saturation degree, car owner can select the travel time and avoid peak section, farthest ensures road
Unimpeded, while also for car owner save valuable time.
Content of the invention
In order to solve the above problems, the present invention proposes a kind of urban road saturation degree real-time monitoring based on bayonet socket data
Method, the method are the situations of change from real-time monitoring urban road saturation degree in magnanimity telecommunication flow information.
The central scope of technical solution of the present invention is：In units of crossing car information, the wheelpath of each car is monitored.Build
Cross car information aggregate and compile depositing a series of bayonet socket that car sequencing temporally in the time range for setting is passed through
Number, add 1 to the value of each adjacent bayonet socket pair.All car information aggregates excessively in by magnanimity traffic flow, calculate each adjacent
The value of bayonet socket pair, the value of the adjacent bayonet socket pair ratio poor with setting time draw the volume of traffic of the road, road Traffic Volume and road
The ratio of the road traffic capacity is road saturation degree, so as to complete the urban road saturation degree real-time monitoring based on bayonet socket data.
The inventive method is comprised the following steps：
Step (1). car license plate image was gathered by traffic public security bayonet monitoring device and electronic police equipment.
Step (2). show that information of vehicles, described information of vehicles are mainly the car plate of vehicle according to image recognition algorithm
Number.
Step (3). the car license board information of crossing of each bayonet socket monitoring device and the acquisition of electronic police equipment is sent to central number
According to storehouse, while recording the car time, and crossing car license plate number and cross car bayonet socket number information.
Step (4). the car data of crossing in central database is pre-processed, and mainly license plate image can not be identified
And the invalid data of license plate number delete from central database.
Step (5). according to data mining algorithm, process is analyzed to the license board information for obtaining；Bayonet socket on road network is every
Match two-by-two, if the actual range between two bayonet sockets is less than 5 kms, constitute an adjacent bayonet socket pair；Find and setting
All bayonet sockets that each car is sequentially passed through according to time order and function in time period, if a car is successively through bayonet socket KnWith bayonet socket Km,
Judge bayonet socket to { Kn,KmWhether it is adjacent bayonet socket pair, if then adjacent bayonet socket is to { Kn,KmValue add 1, adjacent bayonet socket pair
Value is represented passes through this vehicle flowrate to bayonet socket；The value of all adjacent bayonet sockets pair is calculated in the traffic data of magnanimity, per
The ratio of the time difference of the value of individual adjacent bayonet socket pair and setting is used as the road Traffic Volume between bayonet socket pair, road Traffic Volume and road
The ratio of the road traffic capacity is road saturation degree, specifically includes following steps:
5-1. built car information aggregate by below equation：
Wherein E represents information of vehicles set, HiThe number-plate number of i-th car is represented, N is total vehicle number, K represents card
Mouth numbering, T represent time of the vehicle through bayonet socket, TaRepresent lower limit, the T of setting timebRepresent the upper limit of setting time, Tn
And Tn+1Represent in TaWith TbBetween certain time,Represent in time TnThe bayonet socket numbering of place's process,Represent in the time
Tn+1The bayonet socket numbering that place is passed through, the two bayonet sockets are the bayonet sockets that the car is successively passed through, and so on；
5-2. builds qualified adjacent bayonet socket pair by below equation：
{Kn,Km,C,t}(1<n<L,1<m<L,n≠m)
Wherein KnAnd KmRepresent that bayonet socket numbering, C represent the road passage capability (road passage capability between adjacent bayonet socket pair
Refer under certain transportation condition, the maximum vehicle that the certain point or a certain section part unit interval interior energy on road passes through
Number, is represented with/minute), t represents the difference (unit is minute) of the upper limit of setting time and the lower limit of setting time, and L is represented
Bayonet socket sum on road network, the value P { K of adjacent bayonet socket pairn,KmRepresent；If a car is successively through bayonet socket KnAnd Km, then P
{Kn,KmJia 1；
5-3. read car information aggregateThe car was passed through after elder generation in the time period for setting
The bayonet socket numbering that crosses is followed successively byJudge successively
Whether it is adjacent bayonet socket pair, if then adding 1 to the value of the adjacent bayonet socket pair；
Excessively car information aggregates of the 5-4. to all vehicles in magnanimity traffic flowStep 5-3 is repeated, is obtained and is being set
Value P { the K of all adjacent bayonet sockets pair in the fixed timen,Km}；The volume of traffic of every road is calculated by below equation：
5-5. calculates adjacent bayonet socket to the road saturation degree in the range of setting time by below equation：
Wherein C is the road passage capability between adjacent bayonet socket pair；Then will be defeated for the road saturation data of all roads
Go out to central database, then calculate the road saturation degree in next setting time section；
The device have the advantages that：
1. accuracy：The present invention can be precisely calculated road and satisfy by obtaining the bayonet socket data in central database
Value with degree.
2. real-time：The present invention is to cross car data by real-time bayonet socket to calculate real-time urban road saturation degree, institute
Real-time is had more with result of calculation.
Description of the drawings
Fig. 1 is the overview flow chart of the urban road saturation degree method of real-time based on bayonet socket data；
Road saturation degree algorithm flow charts of the Fig. 2 for bayonet socket data；
Fig. 3 is " volume of traffic time " figure of adjacent bayonet socket to { 330382000084,330382000089 }；
Fig. 4 is " the road saturation degree time " figure of adjacent bayonet socket to { 330382000084,330382000089 }；
Specific embodiment
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with accompanying drawing the present invention is made into
One step is described in detail, as shown in figure 1, the inventive method comprises the steps：
Step (1). car license plate image was gathered by traffic public security bayonet monitoring device and electronic police equipment.
Step (2). information of vehicles, described car are drawn according to existing algorithm of locating license plate of vehicle and image recognition algorithm technology
Information is mainly the license plate number of vehicle.
Step (3). the car license board information of crossing of each bayonet socket monitoring device and the acquisition of electronic police equipment is sent to central number
According to storehouse, while recording the car time, and crossing car license plate number and cross car bayonet socket number information.
Step (4). as bayonet socket monitoring device and electronic police equipment can be subject to the interference of some factors extraneous to cause car
Board image can not be accurately identified, and this information of vehicles can be designated " unidentified " by central database；Side for the present invention
For method, this data belong to invalid data, so this step is that these invalid datas are deleted from central database.
Step (5). according to the information of vehicles that step (2) is obtained, car information aggregate was built by below equation, referring to figure
2：
Set a time interval [Ta,Tb], all car information excessively in the time interval are obtained from central database,
One is built for each license plate number and crosses car information aggregate, the information of vehicles of identical license plate number is put into the mistake for belonging to the license plate number
In car information aggregate, then to cross car information aggregate in vehicle information data according to the car through the bayonet socket time first heel row
Sequence.
Step (6). by the bayonet socket on road network per matching two-by-two, if the actual range between two bayonet sockets is less than 5 kms,
Then an adjacent bayonet socket pair is built according to the two bayonet sockets, obtain the road between adjacent bayonet socket pair from city road planning department
The road traffic capacity, while according to the time interval [T set in step (5)a,Tb], calculate time difference t=Tb-Ta, by road
The traffic capacity and time difference are together put to adjacent bayonet socket centering, the adjacent bayonet socket for finally giving to for：
{Kn,Km,C,t}(1<n<L,1<m<L,n≠m)
Step (7). read car information aggregateThe car set when
Between the bayonet socket numbering successively passed through in section be followed successively byJudge successivelyWhether it is adjacent bayonet socket pair, if then value P to the adjacent bayonet socket pair
{Kn,KmJia 1.
Step (8). step (7) is repeated, until having read the car information aggregate excessively of all vehicles.
Step (9). obtain set time in all adjacent bayonet sockets pair value P { Kn,Km}；According to formulaThe volume of traffic of every road is calculated,Be adjacent bayonet socket to set when
Between in the range of road saturation degree, central database is arrived in the output of the road saturation data of all roads then.
Step (10). step (1) is repeated to step (9), calculate the road saturation degree in next setting time section.
Below with the adjacent bayonet socket in Wenzhou City to being described in detail as a example by { 330382000084,330382000089 }:
Setting time scope is [6:00,6:01] the car license plate image of crossing for, being gathered this period is calculated by image recognition
Method drew car license board information, is put in central database, is then read according to central database after rejecting invalid data
License board information, is that each license plate number built car information aggregate：
License plate number is that the adjacent bayonet socket numbering that " Zhejiang C5437A " is passed through in the range of setting time in chronological order is followed successively by
{ 330382000070,330382000084 }, { 330382000084,330382000089 } ..., because have passed through once adjacent
Bayonet socket is to { 330382000084,330382000089 }, so the value of the adjacent bayonet socket pair adds 1；To owning in central database
In setting time scope [6:00,6:01] information of interior license plate number carries out above same operation, obtains adjacent bayonet socket pair
The value of { 330382000084,330382000089 } is 1, and minute time difference t=1 of the adjacent bayonet socket pair, by formula：
The adjacent bayonet socket is calculated in time range [6:00,6:Value D=1/1=1 of the volume of traffic in 01]/point
Clock, road passage capability C=27 in conjunction with the adjacent bayonet socket pair/minute, by formula：
The adjacent bayonet socket is calculated in time range [6:00,6:Value S=1/27=of the road saturation pair in 01]
0.037.
The adjacent bayonet socket is calculated in time range [6 by identical method:01,6:02]、[6:02,6:03]...
[16:59,17:00] volume of traffic and road saturation degree in；The adjacent bayonet socket is in these time ranges " during the volume of traffic
Between " figure, as shown in Figure 3；" road saturation degree time " figure, as shown in Figure 4.As shown in Figure 4, the adjacent bayonet socket is to from morning
6 points of values for starting road saturation degree persistently rise, and reach within 45 minutes a top S=0.68 to 7 points of morning, and this time period
Exactly working peak period, drops to stationary value S=0.30 afterwards, and from morning, 9 points start all near this stationary value
Fluctuate up and down, start substantially rising again until 2 pm half, another peak is reached to 4: 15 shunting road saturation degree in afternoon
Value S=0.78, and this time period exactly next peak period.
In sum, the present invention is by obtaining the real-time bayonet socket data in central database, after pre-processing to which
By the formula of this methodThe volume of traffic of every road is calculated, by formulaDraw
Adjacent bayonet socket is to the road saturation degree in the range of setting time.The features such as the method has accuracy and real-time, overcomes
Conventional conversion after manual research or observation obtains deficiency of the method for road saturation degree in terms of accuracy and real-time.
Claims (2)
1. the urban road saturation degree method of real-time based on bayonet socket data, it is characterised in that the method comprises the steps：
Step (1). car license plate image was gathered by traffic public security bayonet monitoring device and electronic police equipment；
Step (2). show that information of vehicles, described information of vehicles are mainly the license plate number of vehicle according to image recognition algorithm；
Step (3). the car license board information of crossing of each bayonet socket monitoring device and the acquisition of electronic police equipment is sent to central database,
Recorded the car time simultaneously, and crossed car license plate number and cross car bayonet socket number information；
Step (4). the car data of crossing in central database is pre-processed, the sum that mainly license plate image can not be identified
The invalid data of license plate number are deleted from central database；
Step (5). according to data mining algorithm, process is analyzed to the license board information for obtaining；Bayonet socket on road network is per two-by-two
Pairing, if the actual range between two bayonet sockets is less than 5 kms, constitutes an adjacent bayonet socket pair；Find in setting time
All bayonet sockets that each car is sequentially passed through according to time order and function in section, if a car is successively through bayonet socket KnWith bayonet socket Km, judge
Bayonet socket is to { Kn,KmWhether it is adjacent bayonet socket pair, if then adjacent bayonet socket is to { Kn,KmValue add 1, the value table of adjacent bayonet socket pair
Show vehicle flowrate to bayonet socket through this；The value of all adjacent bayonet sockets pair is calculated in the traffic data of magnanimity, each phase
The ratio of the time difference of the value of adjacent bayonet socket pair and setting is used as the road Traffic Volume between bayonet socket pair, road Traffic Volume and path link
The ratio of row ability is road saturation degree.
2. the urban road saturation degree method of real-time based on bayonet socket data according to claim 1, it is characterised in that：
Step (5) specifically includes following steps:
5-1. built car information aggregate by below equation：
Wherein E represents information of vehicles set, HiThe number-plate number of i-th car is represented, N is total vehicle number, K represents that bayonet socket is compiled
Number, T represents time of the vehicle through bayonet socket, TaRepresent lower limit, the T of setting timebRepresent the upper limit of setting time, TnAnd Tn+1
Represent in TaWith TbBetween certain time,Represent in time TnThe bayonet socket numbering of place's process,Represent in time Tn+1Place
Through bayonet socket numbering, the two bayonet sockets are the bayonet sockets that vehicle is successively passed through；
5-2. builds qualified adjacent bayonet socket pair by below equation：
{Kn,Km, C, t }, 1<n<L,1<m<L,n≠m
Wherein KnAnd KmRepresent that bayonet socket numbering, C represent that the road passage capability between adjacent bayonet socket pair, t represent the upper of setting time
The difference of the lower limit of limit and setting time, L represent the bayonet socket sum on road network, the value P { K of adjacent bayonet socket pairn,KmRepresent；Such as
Really a car is successively through bayonet socket KnAnd Km, then P { Kn,KmJia 1；
5-3. read car information aggregateVehicle was successively passed through within the time period for setting
Bayonet socket numbering be followed successively byJ=1,2,3 ...；Judge successively
Whether it is adjacent bayonet socket pair, if then adding 1 to the value of the adjacent bayonet socket pair；
Excessively car information aggregates of the 5-4. to all vehicles in magnanimity traffic flowStep 5-3 is repeated, is obtained in setting
Value P { the K of all adjacent bayonet sockets pair in timen,Km}；The volume of traffic of every road is calculated by below equation
5-5. calculates adjacent bayonet socket to road saturation degree S in the range of setting time by below equation：
Wherein C is the road passage capability between adjacent bayonet socket pair；Then the road saturation data output of all roads is arrived
Central database, then calculates the road saturation degree in next setting time section.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741553B (en) * | 2016-04-28 | 2018-06-01 | 泰华智慧产业集团股份有限公司 | The method that section is stopped in identification track of vehicle based on dynamic threshold |
| CN105869405B (en) * | 2016-05-25 | 2018-03-02 | 银江股份有限公司 | Urban road traffic congestion index calculation method based on bayonet socket data |
| CN106022296B (en) * | 2016-06-01 | 2019-05-28 | 银江股份有限公司 | A kind of fake-licensed car detection method of the probability polymerization based on vehicle hot spot region |
| CN106297293B (en) * | 2016-08-30 | 2019-01-11 | 银江股份有限公司 | A kind of overhead piecewise interval real-time speed self-adaptive computing method based on bayonet big data |
| CN108805312B (en) * | 2017-04-26 | 2020-09-18 | 杭州海康威视数字技术股份有限公司 | Method and device for determining adjacent bayonets |
| CN107622668A (en) * | 2017-10-23 | 2018-01-23 | 重庆市市政设计研究院 | A kind of dynamic and visual intersection management system for monitoring based on RFID |
| CN108122069B (en) * | 2017-12-08 | 2021-10-15 | 杭州电子科技大学 | Mass traffic data-based resident travel starting point and end point matrix extraction method |
| CN110019947B (en) * | 2017-12-29 | 2021-06-04 | 杭州海康威视系统技术有限公司 | Data extraction method and device |
| CN109087508B (en) * | 2018-08-30 | 2021-09-21 | 广州市市政工程设计研究总院有限公司 | High-definition bayonet data-based adjacent area traffic volume analysis method and system |
| CN109785622B (en) * | 2018-12-03 | 2020-12-11 | 南京三宝科技股份有限公司 | Congestion area identification method based on vehicle-mounted electronic tag technology |
| CN114187766B (en) * | 2021-11-08 | 2023-04-07 | 航天科工广信智能技术有限公司 | Road service level evaluation method based on saturation rate |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101976508A (en) * | 2010-10-26 | 2011-02-16 | 隋亚刚 | Traffic signal artery phase difference optimization method based on license plate recognition data |
| CN103377556A (en) * | 2012-04-26 | 2013-10-30 | 上海竞天科技股份有限公司 | Device, system and method for detecting fake-licensed vehicle |
| CN103700265A (en) * | 2013-12-16 | 2014-04-02 | 青岛海信网络科技股份有限公司 | Travel origin and destination-based road network traffic information acquisition method |
| CN204045022U (en) * | 2014-08-28 | 2014-12-24 | 浪潮集团有限公司 | A kind of RFID vehicle on highway management system based on cloud computing |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103632542A (en) * | 2012-08-27 | 2014-03-12 | 国际商业机器公司 | Traffic information processing method, device and corresponding equipment |
-
2015
- 2015-03-30 CN CN201510144147.2A patent/CN104732765B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101976508A (en) * | 2010-10-26 | 2011-02-16 | 隋亚刚 | Traffic signal artery phase difference optimization method based on license plate recognition data |
| CN103377556A (en) * | 2012-04-26 | 2013-10-30 | 上海竞天科技股份有限公司 | Device, system and method for detecting fake-licensed vehicle |
| CN103700265A (en) * | 2013-12-16 | 2014-04-02 | 青岛海信网络科技股份有限公司 | Travel origin and destination-based road network traffic information acquisition method |
| CN204045022U (en) * | 2014-08-28 | 2014-12-24 | 浪潮集团有限公司 | A kind of RFID vehicle on highway management system based on cloud computing |
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Application publication date: 20150624 Assignee: TAIZHOU SUNJOY AUTOMOBILE PRODUCT Co.,Ltd. Assignor: HANGZHOU DIANZI University Contract record no.: X2020330000020 Denomination of invention: Real-time urban road saturability monitoring method based on checkpoint data Granted publication date: 20170315 License type: Common License Record date: 20200422 |
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