CN104732765A - Real-time urban road saturability monitoring method based on checkpoint data - Google Patents
Real-time urban road saturability monitoring method based on checkpoint data Download PDFInfo
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- CN104732765A CN104732765A CN201510144147.2A CN201510144147A CN104732765A CN 104732765 A CN104732765 A CN 104732765A CN 201510144147 A CN201510144147 A CN 201510144147A CN 104732765 A CN104732765 A CN 104732765A
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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
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Abstract
The invention discloses a real-time urban road saturability monitoring method based on checkpoint data. The method includes the steps of monitoring the running track of each vehicle with vehicle passing information as the unit, establishing a vehicle passing information set to store the number of a series of checkpoints by which each vehicle passes in the time sequence within the set time range, adding the value of each adjacent checkpoint pair by 1, calculating the value of each adjacent checkpoint pair through all the vehicle passing information sets in mass traffic flow, and obtaining the traffic volume of a road through the specific value of the value of each adjacent checkpoint pair and a set time difference. The specific value of the road traffic volume and the road capacity is the road saturability, and therefore the real-time urban road saturability monitoring based on the checkpoint data is completed. By obtaining the checkpoint data in a central database, the value of the road saturability can be accurately calculated. The real-time urban road saturability is calculated through the real-time checkpoint vehicle passing data, and the calculation result has higher real-time performance.
Description
Technical field
The present invention relates to data mining technology and image identification technical field, particularly relate to a kind of urban road saturation degree method of real-time based on bayonet socket data.
Background technology
Along with the fast development of economy, China's size of population and vehicles number also increase severely thereupon, and the imperfection of the quick growth of the volume of traffic and urban road construction brings many traffic problems.The different brackets of Assessment of Serviceability of Roads can reflect that road user is under different traffic flow conditions, the service routine of the aspects such as getable speed, economy, comfortableness, and road saturation degree is one of important indicator of reflection Assessment of Serviceability of Roads.The research of current existing road saturation degree obtains traffic data by conversion after manual research or observation obtain (volume of traffic refers within the unit interval, by the vehicle fleet size of a certain section actual participation traffic on road; Road saturation degree is the ratio of the volume of traffic and road passage capability.), and using the average velocity of road as real-time road important parameter, different road congestion level is set according to the size of speed, but this set can cause the accuracy of real-time road condition information to reduce because parameter is too single.Mainly there is two problems in traditional road saturation degree research: 1) traffic data is that the accuracy of data is not high, can have influence on results of calculation by being obtained by conversion after manual research or observation; 2) traffic data is not real time data, and the value of the road saturation degree that can not upgrade in time, can affect the real-time of road saturation degree like this.Therefore, at present in the urgent need to a kind of method that can calculate road saturation degree in real time and accurately, car owner can be selected line time and avoid section, peak, farthest ensures the unimpeded of road, simultaneously also for car owner saves the valuable time.
Summary of the invention
In order to solve the problem, the present invention proposes a kind of urban road saturation degree method of real-time based on bayonet socket data, the method is the situation of change of Real-Time Monitoring urban road saturation degree from magnanimity telecommunication flow information.
The central scope of technical solution of the present invention is: to cross in units of car information, monitor the wheelpath of each car.Built the incompatible a series of bayonet socket numbering depositing this car sequencing process temporally in the time range of setting of car information set, the value right to each adjacent bayonet socket adds 1.By all car information aggregates excessively in magnanimity traffic flow, calculate the value that each adjacent bayonet socket is right, the ratio of the value that adjacent bayonet socket is right and setting-up time difference draws the volume of traffic of this road, the ratio of road Traffic Volume and road passage capability is road saturation degree, thus completes the urban road saturation degree Real-Time Monitoring based on bayonet socket data.
The inventive method comprises the following steps:
Step (1). gathered car license plate image by traffic public security bayonet watch-dog and electronic police equipment.
Step (2). draw information of vehicles according to image recognition algorithm, the license plate number of described information of vehicles mainly vehicle.
Step (3). what each bayonet socket watch-dog and electronic police equipment obtained cross car license board information is sent to central database, simultaneously the recorded car time, cross car license plate number and cross car bayonet socket number information.
Step (4). carry out pre-service to the car data of crossing in central database, the data invalid with license plate number that mainly license plate image can not be identified are deleted from central database.
Step (5). according to data mining algorithm, analyzing and processing is carried out to the license board information obtained; Bayonet socket on road network often matches between two, if the actual range between two bayonet sockets is no more than 5 kms, then forms an adjacent bayonet socket pair; Find all bayonet sockets that each car sequentially passes through according to time order and function in setting-up time section, if a car is successively through bayonet socket K
nwith bayonet socket K
m, judge that bayonet socket is to { K
n, K
mwhether be adjacent bayonet socket pair, if then adjacent bayonet socket is to { K
n, K
mvalue add 1, the right value of adjacent bayonet socket represents through this vehicle flowrate to bayonet socket; Value right to all adjacent bayonet sockets in the traffic data of magnanimity calculates, the ratio of the mistiming of the value that each adjacent bayonet socket is right and setting as bayonet socket between road Traffic Volume, the ratio of road Traffic Volume and road passage capability is road saturation degree, specifically comprises the following steps:
5-1. built car information aggregate by following formula:
Wherein E represents information of vehicles set, H
irepresent the number-plate number of i-th car, N is total vehicle number, and K represents that bayonet socket is numbered, and T represents the time of this vehicle through bayonet socket, T
arepresent lower limit, the T of setting-up time
brepresent the upper limit of setting-up time, T
nand T
n+1represent at T
awith T
bbetween certain time,
represent at time T
nthe bayonet socket of place's process is numbered,
represent at time T
n+1the bayonet socket numbering of place's process, these two bayonet sockets are bayonet sockets of this car successively process, after the rest may be inferred;
5-2. builds qualified adjacent bayonet socket pair by following formula:
{K
n,K
m,C,t}(1<n<L,1<m<L,n≠m)
Wherein K
nand K
mrepresent bayonet socket numbering, C represent adjacent bayonet socket between road passage capability (road passage capability refers under certain transportation condition, certain on road a bit or in a certain section part unit interval by maximum vehicle number, represent with/minute), t represents the difference (unit for minute) of the upper limit of setting-up time and the lower limit of setting-up time, L represents the bayonet socket sum on road network, the value P{K that adjacent bayonet socket is right
n, K
mrepresent; If a car is successively through bayonet socket K
nand K
m, then P{K
n, K
madd 1;
5-3. read car information aggregate
the bayonet socket numbering of this car priority process within the time period of setting is followed successively by
judge successively
whether be adjacent bayonet socket pair, if then right to this adjacent bayonet socket value adds 1;
5-4. is to the car information aggregate excessively of vehicles all in magnanimity traffic flow
repeated execution of steps 5-3, obtains the value P{K that all adjacent bayonet sockets are right within the time of setting
n, K
m; The volume of traffic of every bar road is calculated by following formula:
5-5. goes out adjacent bayonet socket to the road saturation degree within the scope of setting-up time by following formulae discovery:
Wherein C be adjacent bayonet socket between road passage capability; Then the road saturation data of all roads is outputted to central database, then calculate the road saturation degree in next setting-up time section;
The beneficial effect that the present invention has:
1. accuracy: the present invention, by obtaining the bayonet socket data in central database, accurately can calculate the value of road saturation degree.
2. real-time: the present invention crosses car data by real-time bayonet socket to calculate real-time urban road saturation degree, so result of calculation has more real-time.
Accompanying drawing explanation
Fig. 1 is the overview flow chart of the urban road saturation degree method of real-time based on bayonet socket data;
Fig. 2 is the road saturation degree algorithm flow chart of bayonet socket data;
Fig. 3 is that adjacent bayonet socket is to { " volume of traffic-time " figure of 330382000084,330382000089};
Fig. 4 is that adjacent bayonet socket is to { " road saturation degree-time " figure of 330382000084,330382000089};
Embodiment
In order to make the object, technical solutions and advantages of the present invention clearly, be described in further detail the present invention below in conjunction with accompanying drawing, as shown in Figure 1, the inventive method comprises the steps:
Step (1). gathered car license plate image by traffic public security bayonet watch-dog and electronic police equipment.
Step (2). draw information of vehicles according to existing algorithm of locating license plate of vehicle and image recognition algorithm technology, the license plate number of described information of vehicles mainly vehicle.
Step (3). what each bayonet socket watch-dog and electronic police equipment obtained cross car license board information is sent to central database, simultaneously the recorded car time, cross car license plate number and cross car bayonet socket number information.
Step (4). the interference that can be subject to more extraneous factors due to bayonet socket watch-dog and electronic police equipment causes license plate image not to be accurately identified, and this information of vehicles can be designated " unidentified " by central database; For method of the present invention, 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) obtains, built car information aggregate, see Fig. 2 by following formula:
Set a time interval [T
a, T
b], the all car information excessively in this time interval are obtained from central database, car information aggregate is crossed for each license plate number builds one, the information of vehicles of identical license plate number is put into and belongs in the car information aggregate excessively of this license plate number, then the vehicle information data crossed in car information aggregate is sorted according to the priority of this car through the bayonet socket time.
Step (6). the bayonet socket on road network is often matched between two, if the actual range between two bayonet sockets is no more than 5 kms, then build an adjacent bayonet socket pair according to these two bayonet sockets, obtain from city road planning department adjacent bayonet socket between road passage capability, simultaneously according to the time interval [T of setting in step (5)
a, T
b], calculate mistiming t=T
b-T
a, road passage capability and mistiming are together put to adjacent bayonet socket centering, the adjacent bayonet socket finally obtained to for:
{K
n,K
m,C,t}(1<n<L,1<m<L,n≠m)
Step (7). read car information aggregate
the bayonet socket numbering of this car priority process within the time period of setting is followed successively by
judge successively
whether be adjacent bayonet socket pair, if then right to this adjacent bayonet socket value P{K
n, K
madd 1.
Step (8). repeated execution of steps (7), until the car information aggregate excessively having read all vehicles.
Step (9). obtain the value P{K that all adjacent bayonet sockets are right within the time of setting
n, K
m; According to formula
calculate the volume of traffic of every bar road,
for adjacent bayonet socket is to the road saturation degree within the scope of setting-up time, then the road saturation data of all roads is outputted to central database.
Step (10). repeated execution of steps (1), to step (9), calculates the road saturation degree in next setting-up time section.
Below with the adjacent bayonet socket in Wenzhou City to 330382000084,330382000089} is that example is described in detail:
Setting-up time scope is [6:00,6:01], the car license plate image excessively gathered during this period of time must be appeared car license board information by image recognition algorithm, be put in central database after rejecting invalid data, then according to the license board information that central database reads, for each license plate number built car information aggregate:
License plate number for " Zhejiang C5437A " within the scope of setting-up time in chronological order the adjacent bayonet socket numbering of process be followed successively by { 330382000070,330382000084}, { 330382000084,330382000089}..., because have passed through once adjacent bayonet socket to { 330382000084,330382000089}, so the right value of this adjacent bayonet socket adds 1; To all at setting-up time scope [6:00 in central database, 6:01] information of interior license plate number carries out above same operation, obtains adjacent bayonet socket to { value of 330382000084,330382000089} is 1, the mistiming t=1 minute that this adjacent bayonet socket is right, passes through formula:
Calculate this adjacent bayonet socket to value D=1/1=1/minute of the volume of traffic in time range [6:00,6:01], in conjunction with right road passage capability C=27/minute of this adjacent bayonet socket, pass through formula:
Calculate this adjacent bayonet socket to the saturated right value S=1/27=0.037 of the road in time range [6:00,6:01].
This adjacent bayonet socket is calculated at time range [6:01,6:02], [6:02,6:03] ... the volume of traffic in [16:59,17:00] and road saturation degree by identical method; This adjacent bayonet socket to " volume of traffic-time " figure in these time ranges, as shown in Figure 3; " road saturation degree-time " figure, as shown in Figure 4.As shown in Figure 4, this adjacent bayonet socket continues to rise to the value of road saturation degree from 6:00 AM, a top S=0.68 was reached to 7: 45 morning, and this time period is just in time working peak period, drop to a stationary value S=0.30 afterwards, all fluctuate up and down near this stationary value from morning 9, until 2 pm partly starts again obvious rising, reach another one peak value S=0.78 to road saturation degree in 4: 15 afternoon, and this time period is just in time next peak period.
In sum, the present invention is the real-time bayonet socket data by obtaining in central database, carries out the formula by this method after pre-service to it
calculate the volume of traffic of every bar road, by formula
show that adjacent bayonet socket is to the road saturation degree within the scope of setting-up time.The method has the feature such as accuracy and real-time, overcomes the conventional deficiency of method in accuracy and real-time by conversion acquisition road saturation degree after manual research or observation.
Claims (2)
1., based on the urban road saturation degree method of real-time of bayonet socket data, it is characterized in that the method comprises the steps:
Step (1). gathered car license plate image by traffic public security bayonet watch-dog and electronic police equipment;
Step (2). draw information of vehicles according to image recognition algorithm, the license plate number of described information of vehicles mainly vehicle;
Step (3). what each bayonet socket watch-dog and electronic police equipment obtained cross car license board information is sent to central database, simultaneously the recorded car time, cross car license plate number and cross car bayonet socket number information;
Step (4). carry out pre-service to the car data of crossing in central database, the data invalid with license plate number that mainly license plate image can not be identified are deleted from central database;
Step (5). according to data mining algorithm, analyzing and processing is carried out to the license board information obtained; Bayonet socket on road network often matches between two, if the actual range between two bayonet sockets is no more than 5 kms, then forms an adjacent bayonet socket pair; Find all bayonet sockets that each car sequentially passes through according to time order and function in setting-up time section, if a car is successively through bayonet socket K
nwith bayonet socket K
m, judge that bayonet socket is to { K
n, K
mwhether be adjacent bayonet socket pair, if then adjacent bayonet socket is to { K
n, K
mvalue add 1, the right value of adjacent bayonet socket represents through this vehicle flowrate to bayonet socket; Value right to all adjacent bayonet sockets in the traffic data of magnanimity calculates, the ratio of the mistiming of the value that each adjacent bayonet socket is right and setting as bayonet socket between road Traffic Volume, the ratio of road Traffic Volume and road passage capability is road saturation degree.
2. the urban road saturation degree method of real-time based on bayonet socket data according to claim 1, is characterized in that: step (5) specifically comprises the following steps:
5-1. built car information aggregate by following formula:
Wherein E represents information of vehicles set, H
irepresent the number-plate number of i-th car, N is total vehicle number, and K represents that bayonet socket is numbered, and T represents the time of this vehicle through bayonet socket, T
arepresent lower limit, the T of setting-up time
brepresent the upper limit of setting-up time, T
nand T
n+1represent at T
awith T
bbetween certain time,
represent at time T
nthe bayonet socket of place's process is numbered,
represent at time T
n+1the bayonet socket numbering of place's process, these two bayonet sockets are bayonet sockets of this car priority process;
5-2. builds qualified adjacent bayonet socket pair by following formula:
{K
n,K
m,C,t}，1<n<L,1<m<L,n≠m
Wherein K
nand K
mrepresent bayonet socket numbering, C represent adjacent bayonet socket between road passage capability, t represents the difference of the upper limit of setting-up time and the lower limit of setting-up time, and L represents that bayonet socket on road network is total, the value P{K that adjacent bayonet socket is right
n, K
mrepresent; If a car is successively through bayonet socket K
nand K
m, then P{K
n, K
madd 1;
5-3. read car information aggregate
the bayonet socket numbering of this car priority process within the time period of setting is followed successively by
judge successively
whether be adjacent bayonet socket pair, if then right to this adjacent bayonet socket value adds 1;
5-4. is to the car information aggregate excessively of vehicles all in magnanimity traffic flow
repeated execution of steps 5-3, obtains the value P{K that all adjacent bayonet sockets are right within the time of setting
n, K
m; The volume of traffic of every bar road is calculated by following formula
5-5. goes out adjacent bayonet socket to the road saturation degree S within the scope of setting-up time by following formulae discovery:
Wherein C be adjacent bayonet socket between road passage capability; Then the road saturation data of all roads is outputted to central database, then calculate the road saturation degree in next setting-up time section.
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| CN104732765B CN104732765B (en) | 2017-03-15 |
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| CN105741553A (en) * | 2016-04-28 | 2016-07-06 | 泰华智慧产业集团股份有限公司 | Method for identifying parking road segment in vehicle track based on dynamic threshold |
| CN105869405A (en) * | 2016-05-25 | 2016-08-17 | 银江股份有限公司 | Urban road traffic congestion index calculating method based on checkpoint data |
| CN106022296A (en) * | 2016-06-01 | 2016-10-12 | 银江股份有限公司 | Fake plate vehicle detection method based on vehicle hot spot area probability aggregation |
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| 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 |
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| 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 |
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| CN106297293A (en) * | 2016-08-30 | 2017-01-04 | 银江股份有限公司 | A kind of overhead piecewise interval real-time speed self-adaptive computing method based on the big data of bayonet socket |
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| 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 |
| CN108122069A (en) * | 2017-12-08 | 2018-06-05 | 杭州电子科技大学 | Based on huge traffic data resident trip starting and terminal point matrix extracting method |
| 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 |
| CN110019947A (en) * | 2017-12-29 | 2019-07-16 | 杭州海康威视系统技术有限公司 | A kind of data extraction method and device |
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| 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 |
| CN109087508A (en) * | 2018-08-30 | 2018-12-25 | 广州市市政工程设计研究总院有限公司 | Contiguous zone traffic analysis method and system based on high definition bayonet data |
| CN109785622A (en) * | 2018-12-03 | 2019-05-21 | 南京三宝科技股份有限公司 | A kind of congestion regions recognition methods based on vehicle carried electronic label technology |
| 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 |
| CN114187766A (en) * | 2021-11-08 | 2022-03-15 | 航天科工广信智能技术有限公司 | Road service level evaluation method based on saturation rate |
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