CN108510735A - A kind of urban road intersection morning evening peak divides the prediction technique of steering flow - Google Patents
A kind of urban road intersection morning evening peak divides the prediction technique of steering flow Download PDFInfo
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- CN108510735A CN108510735A CN201810308936.9A CN201810308936A CN108510735A CN 108510735 A CN108510735 A CN 108510735A CN 201810308936 A CN201810308936 A CN 201810308936A CN 108510735 A CN108510735 A CN 108510735A
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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
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
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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
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses the prediction techniques that a kind of urban road intersection morning evening peak divides steering flow,Belong to the prediction technique of road traffic flow,The license board information that each intersection vehicles are travelled in city road network is first identified and is obtained by its license plate recognition technology based on electronic police,The license board information obtained is recycled to calculate the probability for travelling origin and destination and path profile of each vehicle in conjunction with big data analysis,Then according to city road network structure determination target intersection,First level upstream intersection group and the second level upstream intersection group,The journey time of each intersection is reached finally by calculating vehicle,And steering flow is divided to predict realize urban road intersection morning evening peak in conjunction with the license board information of acquisition,This prediction technique can be particularly simple achieved by existing equipment and technology,And prediction result is effective,Reliably,It can improve the reasonability of each intersection signal timing,To advantageously account for the Urban Traffic Jam Based of early evening peak.
Description
Technical field
The present invention relates to a kind of urban road intersection vehicle flow prediction side based on electronic police license plate recognition technology
Method, in particular to a kind of urban road intersection morning evening peak divide the prediction technique of steering flow.
Background technology
The traffic jam issue of early evening peak is most in the urgent need to address in urban transportation and is most difficult to solve the problems, such as it
One, it is embodied in the magnitude of traffic flow in short-term is very big, traffic imbalance between supply and demand protrudes etc..But the urban transportation of early evening peak also has
Several outstanding features：When trip purpose it is more single, usually based on commuter on and off duty；Second is that when commuting on and off duty
The trip origin and destination of most people and trip route are relatively fixed；Third, based on the trip of permanent resident population, i.e., in road uplink
The vehicle sailed is comparatively fixed whithin a period of time.Meanwhile many cities are respectively provided at each entrance driveway in intersection at this stage
Electronic police, it can utilize license plate recognition technology to obtain the license plate number that travel each intersection vehicles.Therefore, if base
In the license plate recognition technology of electronic police, in conjunction with big data analysis, it can accomplish urban road intersection morning evening peak completely
Divide steering flow to predict.
Invention content
The technical problem to be solved by the present invention lies in overcoming the defects of the prior art and provide it is a kind of can based on electronics warn
The license plate recognition technology examined is turned in conjunction with big data analysis effectively and reliably to carry out urban road intersection morning evening peak point
The method of volume forecasting.
The technical problem of the present invention is achieved through the following technical solutions：
A kind of urban road intersection morning evening peak divides steering flow prediction technique, includes the following steps：
1. the license board information for travelling each intersection vehicles is identified and obtained by the electronic police being arranged in city road network；
2. the license board information 1. obtained according to step, counter to push away current vehicle in evening peak face in a recent period of time, early city
Origin and destination and routing information are travelled, and utilizes the method for big data analysis, the traveling origin and destination and path point of each vehicle of reckoning
The probability of cloth, by the origin and destination and the path profile historical data base that are aggregated to form vehicle pass-through；
3. first determining target intersection according to city road network structure, then determine each direct phase of entrance driveway flow with target intersection
The the first level upstream intersection group closed then passes through the entrance driveway stream of each intersection of the first level upstream intersection group of analysis
Amount determines the second level upstream intersection group directly related with each entrance driveway flow of the first level upstream intersection group；
4. based on 2. historical data that step obtains, each intersection respective inlets of the first level upstream intersection group are calculated
The journey time of road to target intersection, and each intersection respective inlets road of the second level upstream intersection group is calculated extremely
The journey time of first level upstream intersection group；
5. the license board information obtained using each intersection electronic police of the second level upstream intersection group, predicts each vehicle
Driving path and running time, directly calculate the steering flow of each entrance driveway in target intersection in following a period of time, and needle
To the license board information that each intersection electronic police of the first level upstream intersection group obtains, to the second level upstream intersection
The driving path of each intersection vehicles of group is further examined, to further calculate and correct each import in target intersection
The steering flow in road.
The first level upstream intersection group be by entrance driveway flow it is directly related with target intersection multiple
One level upstream intersection forms.
The second level upstream intersection group is by entrance driveway flow and the first direct phase of level upstream intersection group
The multiple second levels upstream intersection composition closed.
Compared with prior art, the present invention be mainly based upon the license plate recognition technology of electronic police will be current in city road network
It is identified and obtains in the license board information of each intersection vehicles, in conjunction with big data analysis method, believed using the car plate of acquisition
The probability for ceasing the traveling origin and destination and path profile to calculate each vehicle, intersects then according to city road network structure determination target
Mouth, the first level upstream intersection group and the second level upstream intersection group reach each intersection finally by vehicle is calculated
Journey time simultaneously divides steering flow to predict in conjunction with the license board information of acquisition come realize urban road intersection morning evening peak, this
Without being transformed to urban road intersection, being based only on existing equipment and technology can particularly simple be able to kind prediction technique
It realizes, and uses the pattern of " prediction → inspection → amendment " so that prediction result is more effective, reliable, convenient for formulating in advance
Or the signal time distributing conception of optimization aim intersection, to advantageously account for the Urban Traffic Jam Based of early evening peak.
Description of the drawings
Fig. 1 is the structural diagram of the present invention.
Specific implementation mode
It will again elaborate to the embodiment of the present invention by above-mentioned attached drawing below.
As shown in Figure 1,1. target intersections, 2. first level upstream intersections, 3. second level upstream intersections.
A kind of urban road intersection morning evening peak divides the prediction technique of steering flow, is that one kind being based on electronic police car plate
The urban road intersection morning evening peak of identification technology divides the prediction technique of steering flow.
The prediction technique will be described in detail as specific embodiment in conjunction with Fig. 1 in the present invention, and its step are as follows：
1. travelling the car plates of each intersection vehicles by the electronic police being arranged in city road network at this stage to identify and obtain
Information, the electronic police usually all have license plate recognition technology, and are mainly disposed at the entrance driveway of each intersection；
2. the license board information 1. obtained according to step, counter to push away current vehicle in evening peak face in a recent period of time, early city
Origin and destination and routing information are travelled, and utilizes the method for big data analysis, the traveling origin and destination and path point of each vehicle of reckoning
The probability of cloth, by the traveling origin and destination and the path profile historical data base that are aggregated to form vehicle pass-through；
It is as shown in Figure 1 the city road network knot of multiple right-angled intersections 3. first determining target intersection 1 according to city road network structure
Structure, target intersection 1 are located at the A in the bosoms Fig. 1；
The first level upstream intersection group directly related with each entrance driveway flow of target intersection A, the first layer are determined again
Grade upstream intersection group is by the entrance driveway flow multiple first level upstream intersection 2 group directly related with target intersection
At B, C, D, E as shown in Figure 1 are respectively 4 the first level upstream intersections 2 of target intersection A, i.e. the first level upstream
Intersection B, the first level upstream intersection C, the first level upstream intersection D and the first level upstream intersection E；
Then it by analyzing the entrance driveway flow of each intersection of the first level upstream intersection group, determines and the first level upstream
The second directly related level upstream intersection group of each entrance driveway flow of intersection group；
The second level upstream intersection group is by multiple directly related with the first level upstream intersection group of entrance driveway flow
Second level upstream intersection 3 forms, and F, I, J, K, L, M, G, H as shown in Figure 1 are respectively the first level upstream intersection group
8 the second level upstream intersections 3, i.e. the second level upstream intersection F, the second level upstream intersection I, in the second level
Swim intersection J, the second level upstream intersection K, the second level upstream intersection L, the second level upstream intersection M, the second layer
Grade upstream intersection G and the second level upstream intersection H；
4. based on 2. historical data that step obtains, each intersection B, C, D, E of the first level upstream intersection group is calculated
Respective inlets road to target intersection A journey time, and be calculated the second level upstream intersection group each intersection F,
I, J, K, L, M, G, H respective inlets road to the first level upstream intersection group journey time；
5. being believed using the car plate that electronic police at each intersection F, I, J, K, L, M, G, H of the second level upstream intersection group obtains
Breath, predicts the driving path and running time of each vehicle, and directly calculate the first level upstream intersection group divides steering flow
Value predicts the magnitude of traffic flow of the first level upstream intersection group in following a period of time with this and target is handed in following a period of time
The steering flow of each entrance driveway of prong A, on this basis, after a period of time, for the first level upstream intersection group
The license board information that electronic police obtains at each intersection B, C, D, E, to each intersection F, I of the second level upstream intersection group,
J, the driving path of K, L, M, G, H vehicle is further examined, to further calculate and correct the 1 each import of target intersection
The steering flow in road, to improve the reasonability of each intersection signal timing.
The present invention is the license plate recognition technology based on electronic police, and urban road intersection is carried out in conjunction with big data analysis
Mouthful early evening peak divides the prediction technique of steering flow, the prediction technique have be easily achieved and prediction result effectively, it is reliable etc. excellent
Point, to advantageously account for the Urban Traffic Jam Based of early evening peak.
The above is only the better embodiment of the present invention, therefore all constructions according to described in present patent application range,
The equivalent change or modification that feature and principle are done, is included within the scope of present patent application.
Claims (3)
1. a kind of urban road intersection morning evening peak divides the prediction technique of steering flow, it is characterised in that this method includes as follows
Step：
1. the license board information for travelling each intersection vehicles is identified and obtained by the electronic police being arranged in city road network；
2. the license board information 1. obtained according to step, counter to push away current vehicle in evening peak face in a recent period of time, early city
Origin and destination and routing information are travelled, and utilizes the method for big data analysis, the traveling origin and destination and path point of each vehicle of reckoning
The probability of cloth, by the traveling origin and destination and the path profile historical data base that are aggregated to form vehicle pass-through；
3. first determining target intersection according to city road network structure（1）, then it is determining straight with each entrance driveway flow of target intersection
Relevant first level upstream intersection group is connect, the import of each intersection of the first level upstream intersection group of analysis is then passed through
Road flow determines the second level upstream intersection directly related with each entrance driveway flow of the first level upstream intersection group
Group；
4. based on 2. historical data that step obtains, each intersection respective inlets of the first level upstream intersection group are calculated
Road to target intersection（1）Journey time, and each intersection respective inlets of the second level upstream intersection group are calculated
Road to the first level upstream intersection group journey time；
5. the license board information obtained using each intersection electronic police of the second level upstream intersection group, predicts each vehicle
Driving path and running time, directly calculate target intersection in following a period of time（1）The steering flow of each entrance driveway, and
For the license board information that each intersection electronic police of the first level upstream intersection group obtains, the second level upstream is intersected
The driving path of each intersection vehicles of mouth group is further examined, to further calculate and correct target intersection（1）
The steering flow of each entrance driveway.
2. a kind of city's intersection morning evening peak according to claim 1 divides the prediction technique of steering flow, feature
It is that the first level upstream intersection group is by entrance driveway flow and target intersection（1）Directly related multiple first
Level upstream intersection（2）Composition.
3. a kind of urban road intersection morning evening peak according to claim 1 divides the prediction technique of steering flow, special
Sign is that the second level upstream intersection group is directly related with the first level upstream intersection group by entrance driveway flow
Multiple second levels upstream intersection（3）Composition.
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Cited By (3)
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| CN110363984A (en) * | 2019-06-25 | 2019-10-22 | 讯飞智元信息科技有限公司 | Traffic flow forecasting method and equipment |
| CN110675629A (en) * | 2019-10-08 | 2020-01-10 | 苏交科集团股份有限公司 | Big data-based highway congestion prediction and active prevention and control method |
| CN111243264A (en) * | 2018-11-13 | 2020-06-05 | 中国移动通信集团辽宁有限公司 | Vehicle steering prediction method, device, equipment and medium |
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