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CN109801492A - Detection method, device and the storage medium of traffic congestion - Google Patents

Detection method, device and the storage medium of traffic congestion Download PDF

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Publication number
CN109801492A
CN109801492A CN201910056065.0A CN201910056065A CN109801492A CN 109801492 A CN109801492 A CN 109801492A CN 201910056065 A CN201910056065 A CN 201910056065A CN 109801492 A CN109801492 A CN 109801492A
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CN
China
Prior art keywords
congestion
blip
crossing
traffic
congestion level
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Pending
Application number
CN201910056065.0A
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Chinese (zh)
Inventor
沈东�
胡春梅
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SHENZHEN GANWEI SOFTWARE TECHNOLOGY Co Ltd
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SHENZHEN GANWEI SOFTWARE TECHNOLOGY Co Ltd
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Priority to CN201910056065.0A priority Critical patent/CN109801492A/en
Publication of CN109801492A publication Critical patent/CN109801492A/en
Pending legal-status Critical Current

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Abstract

The invention discloses a kind of detection methods of traffic congestion, comprising the following steps: obtains the image of the predeterminable area at each crossing;Identify the quantity or area of the blip in described image, the blip is set in advance in the predeterminable area;According to the quantity or area of the blip, the congestion level at the crossing is determined.The invention also discloses a kind of detection device of traffic congestion and computer readable storage mediums.Present invention reduces the costs of detection traffic congestion.

Description

Detection method, device and the storage medium of traffic congestion
Technical field
The present invention relates to technical field of image processing more particularly to a kind of detection methods of traffic congestion, traffic congestion Detection device and computer readable storage medium.
Background technique
With the development of the times, automobile becomes the vehicles indispensable in people's life.Now, possess vehicle People is more and more, causes the contradiction on vehicle and road surface increasingly severe, and the problem that blocks up is at a global problem.
Currently, being usually that detection device is arranged in traffic intersection, by the traveling for detecting the vehicle by the traffic intersection Speed and quantity determine the jam situation of the traffic intersection.But since the lower deployment cost of hardware device is larger, so that vehicle detection Device dispose quantity it is relatively limited, can not large scale deployment, in this way, its monitoring result can not sometimes reflect completely completely Urban road operating condition, so as to cause the reduction of the reliability of urban road monitoring.
Summary of the invention
The main purpose of the present invention is to provide a kind of detection method of traffic congestion, the detection device of traffic congestion and Computer readable storage medium reduces the cost of detection traffic congestion.
To achieve the above object, the present invention provides a kind of detection method of traffic congestion, the detection side of the traffic congestion Method the following steps are included:
Obtain the image of the predeterminable area at each crossing;
Identify the quantity or area of the blip in described image, the blip is set in advance in the preset areas Domain;
According to the quantity or area of the blip, the congestion level at the crossing is determined.
Preferably, the quantity of the blip is smaller, and the congestion level is higher.
Preferably, the area of the blip is smaller, and the congestion level is higher.
Preferably, the quantity according to the blip, the step of determining the congestion level at the crossing include:
When the quantity of the blip is less than preset threshold, determine that the congestion level at the crossing is congestion status;
When the quantity of the blip is more than or equal to preset threshold, determine that the congestion level at the crossing is non- Congestion status.
Preferably, the area according to the blip, the step of determining the congestion level at the crossing include:
When the area of the blip is less than preset threshold, determine that the congestion level at the crossing is congestion status;
When the area of the blip is more than or equal to preset threshold, determine that the congestion level at the crossing is non- Congestion status.
Preferably, the quantity or area according to the blip, the step of determining the congestion level at the crossing Later, further includes:
According to the congestion level at all crossings, traffic lights operation is controlled.
Preferably, the congestion level according to all crossings, controlling the step of traffic lights is run includes:
According to the congestion level at each crossing, current duration corresponding with the crossing is generated;
According to the passage duration at all crossings, traffic lights operation is controlled.
To achieve the above object, the present invention also provides a kind of detection device of traffic congestion, the detections of the traffic congestion Device includes:
The detection device of the traffic congestion includes memory, processor and is stored on the memory and can be described The detection program of the traffic congestion run on processor, the detection program of the traffic congestion are realized when being executed by the processor The step of such as detection method of above-mentioned traffic congestion.
To achieve the above object, the present invention also provides a kind of computer readable storage medium, the computer-readable storages It is stored with the detection program of traffic congestion on medium, realizes when the detection program of the traffic congestion is executed by processor as above-mentioned The step of detection method of traffic congestion.
The detection method of traffic congestion provided by the invention, the detection device of traffic congestion and computer-readable storage medium Matter obtains the image of the predeterminable area at each crossing;Identify the quantity or area of the blip in described image, the target Mark is set in advance in the predeterminable area;According to the quantity or area of the blip, the congestion journey at the crossing is determined Degree.In this way, reducing the cost of detection traffic congestion.
Detailed description of the invention
Fig. 1 is the hardware running environment schematic diagram for the embodiment terminal that the embodiment of the present invention is related to;
Fig. 2 is the flow diagram of the detection method first embodiment of traffic congestion of the present invention;
Fig. 3 is the flow diagram of the detection method second embodiment of traffic congestion of the present invention;
Fig. 4 is the instance graph of an embodiment of the detection method of traffic congestion of the present invention;
Fig. 5 is the instance graph of another embodiment of the detection method of traffic congestion of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present invention provides a kind of detection method of traffic congestion, reduces the cost of detection traffic congestion.
As shown in Figure 1, Fig. 1 is the hardware running environment schematic diagram for the embodiment terminal that the embodiment of the present invention is related to;
The terminal of that embodiment of the invention can be the detection device of traffic congestion, be also possible to server.
As shown in Figure 1, the terminal may include: processor 1001, such as cpu central processing unit (central Processing unit), memory 1002, communication bus 1003.Wherein, communication bus 1003 is for realizing each in the terminal Connection communication between building block.Memory 1002 can be high-speed RAM random access memory (random-access Memory), it is also possible to stable memory (non-volatile memory), such as magnetic disk storage.Memory 1002 can The storage device that can also be independently of aforementioned processor 1001 of choosing.
It will be understood by those skilled in the art that the structure of terminal shown in Fig. 1 was not constituted to end of the embodiment of the present invention The restriction at end may include perhaps combining certain components or different component layouts than illustrating more or fewer components.
As shown in Figure 1, as the detection that in a kind of memory 1002 of computer storage medium may include traffic congestion Program.
In terminal shown in Fig. 1, processor 1001 can be used for calling the traffic congestion stored in memory 1002 Program is detected, and executes following operation:
Obtain the image of the predeterminable area at each crossing;
Identify the quantity or area of the blip in described image, the blip is set in advance in the preset areas Domain;
According to the quantity or area of the blip, the congestion level at the crossing is determined.
Further, processor 1001 can call the detection program of the traffic congestion stored in memory 1002, also hold The following operation of row:
The quantity of the blip is smaller, and the congestion level is higher.
Further, processor 1001 can call the detection program of the traffic congestion stored in memory 1002, also hold The following operation of row:
The area of the blip is smaller, and the congestion level is higher.
Further, processor 1001 can call the detection program of the traffic congestion stored in memory 1002, also hold The following operation of row:
When the quantity of the blip is less than preset threshold, determine that the congestion level at the crossing is congestion status;
When the quantity of the blip is more than or equal to preset threshold, determine that the congestion level at the crossing is non- Congestion status.
Further, processor 1001 can call the detection program of the traffic congestion stored in memory 1002, also hold The following operation of row:
When the area of the blip is less than preset threshold, determine that the congestion level at the crossing is congestion status;
When the area of the blip is more than or equal to preset threshold, determine that the congestion level at the crossing is non- Congestion status.
Further, processor 1001 can call the detection program of the traffic congestion stored in memory 1002, also hold The following operation of row:
According to the congestion level at all crossings, traffic lights operation is controlled.
Further, processor 1001 can call the detection program of the traffic congestion stored in memory 1002, also hold The following operation of row:
According to the congestion level at each crossing, current duration corresponding with the crossing is generated;
According to the passage duration at all crossings, traffic lights operation is controlled.
Referring to Fig. 2, in one embodiment, the detection method of the traffic congestion includes:
Step S10, the image of the predeterminable area at each crossing is obtained.
Step S20, the quantity or area of the blip in described image are identified, the blip is set in advance in institute State predeterminable area.
In the present embodiment, embodiment terminal can be the detection device of traffic congestion, be also possible to server.Preferably, The detection device of the traffic congestion is the monitoring camera equipment being arranged on traffic signals bar, and the health picture pick-up device can be with For obtaining the image of predeterminable area.
Referring to Fig. 4, predeterminable area is set in each traffic intersection in advance, going out for traffic intersection is arranged in the predeterminable area Crossing section, the width of the predeterminable area is equal to the sum of the width in all lanes in outlet section or outlet section is removed Rightmost side lane (is rightmost side lane in the countries and regions kept to the right, is then most left in the countries and regions to keep left Side lane) except all lanes the sum of width;The length of the predeterminable area is preset length, and the preset length takes Being worth range is 5 meters -50 meters, is chosen as 10 meters, 15 meters, 20 meters, 30 meters.It should be noted that the outlet section is vehicle Passage direction be the section for being driven out to the crossing.
Predeterminable area at each crossing, is previously provided with blip.
Referring to Fig. 5, optionally, multiple blips are decorated in predeterminable area painting, the blip can be circular diagram Case, triangle pattern, square pattern, regular hexagon pattern etc..It should be understood that all to an object of the application mark The deformation of pattern belongs to the protection scope of the application.Certainly, blip is also possible to by the side such as spraying, printing in advance Formula is arranged in predeterminable area.
Terminal can identify figure according to the image of predeterminable area after getting the image of predeterminable area at each crossing The gross area of blip in the quantity of blip as in, or identification image.
It should be noted that terminal can recognize that the blip that do not lived by occlusion in image, hidden to by vehicle The blip not shown in the picture blocked does not identify.
Step S30, according to the quantity or area of the blip, the congestion level at the crossing is determined.
It, can be according to blip in the image for identifying predeterminable area after the quantity of blip or the gross area Quantity or the gross area determine the congestion level at crossing corresponding with the predeterminable area.It should be noted that identifying in the picture The quantity of blip is fewer out, illustrates that the blip lived by occlusion is more, i.e., more in the vehicle of predeterminable area;Or Person identifies that the gross area of blip is smaller in the picture, and the part for illustrating that blip is lived by occlusion is bigger, i.e., sub The vehicle of predeterminable area is more.
Optionally, the congestion level is indicated in the form of percentage.The blip of predeterminable area is blocked completely Firmly the case where, is set as congestion level 100%, i.e., has the case where blip (to identify target for the image of predeterminable area is unidentified The quantity of mark is 0, or identifies the case where area of blip is 0) it is set as congestion level 100%;By predeterminable area There are the blip situations being blocked to be set as congestion level 0%, i.e., the image recognition of predeterminable area is gone out target The quantity of the mark perhaps quantity of area and the blip when the predeterminable area scribbles blip or area equation Situation is set as congestion level 0%.Correspondingly, identify that the quantity of blip in the image of predeterminable area is smaller, the preset areas The congestion level percentage at the corresponding crossing in domain is higher;Alternatively, identifying the gross area of blip in the image of predeterminable area Smaller, the congestion level percentage at the corresponding crossing of the predeterminable area is higher.
In this way, can determine that the predeterminable area is corresponding according to the quantity or area for identifying blip from image Crossing congestion level very.Certainly, which is very also possible to indicate with congestion value, identifies preset areas The quantity of blip is smaller in the image in domain, and the congestion level value at the corresponding crossing of the predeterminable area is higher;Alternatively, identifying The gross area of blip is smaller in the image of predeterminable area, and the congestion value at the corresponding crossing of the predeterminable area is higher.
Optionally, the congestion level is indicated in the form of congestion level grade, and the congestion level grade can be packet Include that congestion level is advanced, congestion level is intermediate and congestion level is rudimentary.The congestion level grade can be according to congestion level hundred Hundred are divided to divide, for example, congestion level 0%-35% is that congestion level is rudimentary, congestion level 36%-70% is congestion level middle rank, Congestion level 71%-100% is that congestion level is advanced.
The congestion level grade can be divided according to the quantity or area of blip, specifically, will be known from image Not Chu blip quantity be less than or equal to blip actual quantity one third the case where, be set as congestion level It is advanced;The quantity of the blip gone out from image recognition is less than or equal to 2/3rds of actual quantity, and is greater than real The case where one third of border quantity, is set as congestion level middle rank;The quantity of the blip gone out from image recognition is greater than real Border quantity 2/3rds the case where, it is rudimentary to be set as congestion level.
Alternatively, the gross area of the blip gone out from image recognition is less than or equal to the practical gross area of blip The case where one third, it is advanced to be set as congestion level;The gross area of the blip gone out from image recognition is less than or equal to 2/3rds of the practical gross area, and greater than the practical gross area one third the case where, be set as congestion level middle rank;It will be from The gross area for the blip that image recognition goes out is greater than the case where 2/3rds of the practical gross area, and it is rudimentary to be set as congestion level.
Correspondingly, according to the quantity or area for identifying blip from image, determine that the predeterminable area is corresponding The congestion level grade at crossing.
Optionally, the congestion level is divided into congestion status and non-congestion status, in the target mark identified from image When the quantity of will is less than preset threshold, determine that the congestion level at the corresponding crossing of the image is congestion status;Knowing from image Not Chu blip quantity be more than or equal to preset threshold when, determine the corresponding crossing of the image congestion level be it is non- Congestion status.It should be noted that the preset threshold be blip predeterminable area actual quantity (i.e. in blip Quantity when spraying or scribbling generation) half numerical value.
Optionally, the congestion level is divided into congestion status and non-congestion status, in the target mark identified from image When the gross area of will is less than preset threshold, determine that the congestion level at the corresponding crossing of the image is congestion status;From image When the gross area of the blip identified is more than or equal to preset threshold, the congestion level at the corresponding crossing of the image is determined For non-congestion status.It should be noted that the preset threshold be blip predeterminable area the practical gross area (i.e. in mesh The gross area of the mark mark when spraying or scribbling generation) half numerical value.
In this way, by being scribbled in advance or coating objective mark in predeterminable area, and the image of predeterminable area is obtained, it identifies The quantity or area of blip in image, that is, can determine that the congestion level at crossing corresponding with predeterminable area, reduce The difficulty of the congestion level of traffic intersection is determined by image recognition algorithm.
Moreover, can be obtained by the monitoring camera equipment being originally arranged on traffic signals bar or traffic portal frame To the image of predeterminable area, and then determine the congestion level of traffic intersection, is effectively saved the laying cost of hardware device.
In one embodiment, the image of the predeterminable area at each crossing is obtained;Identify the blip in described image Quantity or area, the blip are set in advance in the predeterminable area;According to the quantity or area of the blip, really The congestion level at the fixed crossing.In this way, reducing the cost of detection traffic congestion.
In a second embodiment, described according to the target as shown in figure 3, on the basis of above-mentioned embodiment shown in Fig. 2 The quantity or area of mark, after the step of determining the congestion level at the crossing, further includes:
Step S40, according to the congestion level at all crossings, traffic lights operation is controlled.
In the present embodiment, after the congestion level for determining each crossing, the congestion level at all crossings is obtained, according to all The congestion level at crossing generates current duration for each crossing.It should be noted that a length of crossing traffic refers to when described current Show time when lamp instruction vehicle can currently pass through.
Optionally, a preset duration is obtained, according to the congestion level at each crossing, to be each road from preset duration Mouth distributes current duration, and the higher crossing of congestion level, the time distributed from preset duration is more, i.e., according to each Ratio of the congestion level at crossing in total congestion level at all crossings distributes the preset duration of corresponding ratio for each crossing As current duration.The preset duration is chosen as 2 minutes, 3 minutes, 5 minutes etc..
For example, the congestion level at first crossing is 80%, second crossing by taking crossroad most basic in traffic route as an example Congestion level be the congestion level at the 40%, third crossing be 60%, the congestion at fourth crossing is measured as 60%, preset duration be 2 points Zhong Shi, 20 seconds a length of, the third crossing is distributed when the passage that 40 seconds a length of, the third crossing is distributed when the passage that first crossing is distributed A length of 30 seconds when obtained passage, it is 30 seconds a length of when the passage that fourth crossing is distributed.
Certainly, terminal, which can be, then determines the congestion level at primary each crossing every a preset duration.
It should be understood that can in advance be congestion status when congestion level is divided into congestion status and non-congestion status Weighted value is set with non-congestion status, is the big weighted value of the non-congestion status of congestion status distribution ratio, then according to each correspondingly The weighted value of a crossing congestion degree is that current duration is distributed at each crossing from preset duration.
It should be understood that can in advance be each congestion when congestion level is indicated in the form of congestion level grade Weighted value is arranged in intensity grade, and correspondingly, congestion level higher grade, and the weighted value distributed is bigger, then according to each road The weighted value of mouth congestion level is that current duration is distributed at each crossing from preset duration.
In this way, realizing that the corresponding of the passage duration at each crossing generates.Then, according to the passage duration at all crossings, control Make the light on and off time of each crossing traffic indicator light.Optionally, it is handed over the passage duration at certain crossing as the corresponding green in the crossing Logical indicator light (allowing vehicle pass-through indicator light) lights duration, i.e., gives a green light at the passage duration crossing;The crossing will be removed The passage duration summation at remaining outer crossing is as the corresponding red traffic indicator light in the crossing (no thoroughfare for vehicles indicator light) Light duration, i.e., within the passage duration summation corresponding time at remaining crossing, which sends out a warning.
Certainly, after determining the passage duration at each crossing, the red green indicator light on pavement can be accordingly set (on certain road No thoroughfare for vehicles and the crossing has no when needing to turn to the vehicle driven into there are side crossing for mouth, which allows pedestrian It is current).
In one embodiment, according to the congestion level at all crossings, traffic lights operation is controlled.In this way, realizing each traffic road The reasonable distribution of the traffic light time of mouth, is conducive to the improvement of urban traffic blocking, so as to improve the congestion shape of traffic intersection Condition.
In addition, the present invention also proposes that a kind of detection device of traffic congestion, the detection device of the traffic congestion include depositing Reservoir, processor and the detection program for storing the traffic congestion that can be run on a memory and on a processor, the processor The step of realizing the detection method of traffic congestion as described above in Example when executing the detection program of the traffic congestion.
In addition, the present invention also proposes that a kind of computer readable storage medium, the computer readable storage medium include handing over The detection program of logical congestion, the detection program of the traffic congestion realize friendship as described above in Example when being executed by processor The step of detection method of logical congestion.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art The part contributed out can be embodied in the form of software products, which is stored in one as described above In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be TV Machine, mobile phone, computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills Art field, is included within the scope of the present invention.

Claims (9)

1. a kind of detection method of traffic congestion, which is characterized in that detection method includes the following steps for the traffic congestion:
Obtain the image of the predeterminable area at each crossing;
Identify the quantity or area of the blip in described image, the blip is set in advance in the predeterminable area;
According to the quantity or area of the blip, the congestion level at the crossing is determined.
2. the detection method of traffic congestion as described in claim 1, which is characterized in that the quantity of the blip is smaller, The congestion level is higher.
3. the detection method of traffic congestion as described in claim 1, which is characterized in that the area of the blip is smaller, The congestion level is higher.
4. the detection method of traffic congestion as described in claim 1, which is characterized in that the number according to the blip Amount, the step of determining the congestion level at the crossing include:
When the quantity of the blip is less than preset threshold, determine that the congestion level at the crossing is congestion status;
When the quantity of the blip is more than or equal to preset threshold, determine that the congestion level at the crossing is non-congestion State.
5. the detection method of traffic congestion as described in claim 1, which is characterized in that the face according to the blip Product, the step of determining the congestion level at the crossing include:
When the area of the blip is less than preset threshold, determine that the congestion level at the crossing is congestion status;
When the area of the blip is more than or equal to preset threshold, determine that the congestion level at the crossing is non-congestion State.
6. the detection method of traffic congestion as described in claim 1, which is characterized in that the number according to the blip Amount or area, after the step of determining the congestion level at the crossing, further includes:
According to the congestion level at all crossings, traffic lights operation is controlled.
7. the detection method of traffic congestion as claimed in claim 6, which is characterized in that the congestion journey according to all crossings Degree, controlling the step of traffic lights is run includes:
According to the congestion level at each crossing, current duration corresponding with the crossing is generated;
According to the passage duration at all crossings, traffic lights operation is controlled.
8. a kind of detection device of traffic congestion, which is characterized in that the detection device of the traffic congestion includes memory, processing Device and the detection program for being stored in the traffic congestion that can be run on the memory and on the processor, the traffic congestion Detection program the detection side of the traffic congestion as described in any one of claims 1 to 7 is realized when being executed by the processor The step of method.
9. a kind of computer readable storage medium, which is characterized in that be stored with traffic on the computer readable storage medium and gather around Stifled detection program is realized when the detection program of the traffic congestion is executed by processor such as any one of claims 1 to 7 institute The step of detection method for the traffic congestion stated.
CN201910056065.0A 2019-01-21 2019-01-21 Detection method, device and the storage medium of traffic congestion Pending CN109801492A (en)

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CN110909633A (en) * 2019-11-07 2020-03-24 浙江大华技术股份有限公司 Method and device for determining accumulation degree, storage medium, and electronic device
CN111599167A (en) * 2020-03-20 2020-08-28 郑素娟 Real-time index measuring platform applying block chain data storage
CN114004860A (en) * 2020-07-13 2022-02-01 富士通株式会社 Traffic abnormality detection device, method and electronic device

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Publication number Priority date Publication date Assignee Title
CN110909633A (en) * 2019-11-07 2020-03-24 浙江大华技术股份有限公司 Method and device for determining accumulation degree, storage medium, and electronic device
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CN114004860A (en) * 2020-07-13 2022-02-01 富士通株式会社 Traffic abnormality detection device, method and electronic device

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