CN109493604A

CN109493604A - Utilize the traffic control method, apparatus and computer equipment of big data

Info

Publication number: CN109493604A
Application number: CN201811450186.5A
Authority: CN
Inventors: 史光辉; 王建明; 肖京
Original assignee: Ping An Technology Shenzhen Co Ltd
Current assignee: Ping An Technology Shenzhen Co Ltd
Priority date: 2018-11-30
Filing date: 2018-11-30
Publication date: 2019-03-19

Abstract

This application provides a kind of traffic control method, apparatus, computer equipment and storage mediums using big data, it is related to big data engine technology field, method includes: to acquire plurality of pictures simultaneously by each visual sensor respectively, and construct picture library according to predeterminated frequency；It parses each picture and obtains information of vehicles；Screening current time and with current time immediate adjacent time acquisition include same unique identification the first automobile two Target Photos；The change in location for parsing the first automobile in two Target Photos obtains the corresponding driving information of the first automobile；The road information of the first progress path of car is obtained according to driving direction；The reception terminal that the first automobile is sent to after traffic control instructs is formulated according to information of vehicles, driving information and road information.The application realizes comprehensive regulation between vehicle and vehicle, vehicle and road by the road information and each information of vehicles of acquisition road network in real time, achievees the purpose that alleviate traffic congestion in advance.

Description

Utilize the traffic control method, apparatus and computer equipment of big data

Technical field

This application involves big data engine technology field, in particular to a kind of traffic control method using big data, dress It sets, computer equipment and storage medium.

Background technique

With economic continuous development, people's lives level is stepped up, and the owning amount of private car also steeply rises, from And great load is brought to urban transportation.In order to cope with urban transportation in the traffic loading of peak period, traffic department at present By monitoring in real time to each road, transportation arrangements commanding progress traffic is dredged again after congestion occurs in discovery road It leads.But the dredging scheme can only passively go to realize, control is poor, can not correct guidance wagon flow to alleviate traffic congestion in advance.

Summary of the invention

The main purpose of the application be provide it is a kind of using the traffic control method, apparatus of big data, computer equipment and Storage medium, it is intended to the drawbacks of regulation and control scheme control for solving existing city is poor, can not alleviate traffic congestion in advance.

To achieve the above object, this application provides a kind of traffic control methods using big data, are applied to traffic tune Platform is controlled, the traffic control platform includes the multiple visual sensors being arranged in predeterminable area, which comprises

According to predeterminated frequency, plurality of pictures is acquired by each visual sensor simultaneously respectively, and using each described more Picture constructs picture library；

Parse each picture in the picture library, obtain information of vehicles, the information of vehicles include automobile unique identification, Relative distance between the current location of automobile and each automobile；

From the picture library, screen current time and with the current time immediate adjacent time acquisition, It include two Target Photos of the first automobile of the same unique identification；

The change in location for parsing the first automobile described in two Target Photos, obtains the corresponding row of first automobile Information is sailed, the driving information includes driving direction and travel speed；

The current progress path of first automobile is determined according to the driving direction, and obtains the road of the progress path Road information, the road information include the road layout and information of road surface of the progress path；

According to the information of vehicles, the driving information and the road information of first automobile, according to the first default rule Traffic control instruction is then formulated, and sends traffic control instruction to the reception terminal of first automobile.

Present invention also provides a kind of traffic control devices using big data, comprising:

Module is constructed, for acquiring plurality of pictures simultaneously by each visual sensor respectively according to predeterminated frequency, and Picture library is constructed using the plurality of pictures；

First parsing module obtains the information of vehicles in each picture for parsing each picture in the picture library；

Screening module, when for from the picture library, screening current time and the immediate adjacent current time Between acquire, include two Target Photos of the first automobile of the same unique identification；

Second parsing module obtains institute for parsing the change in location of the first automobile described in two Target Photos State the corresponding driving information of the first automobile；

First obtains module, for determining the current progress path of first automobile according to the driving direction, and obtains Take the road information of the progress path；

Module is formulated to press for the information of vehicles, the driving information and the road information according to first automobile Traffic control instruction is formulated according to the first preset rules, and the reception for sending first automobile for traffic control instruction is whole End.

Further, first parsing module includes:

Recognition unit, for identification in each picture each automobile automobile feature, and obtained respectively according to each automobile feature To the corresponding unique identification of each automobile；

First judging unit, for judging in each picture whether to include more automobiles；

Acquiring unit, for obtaining the picture relative distance between each automobile from each picture respectively；

First computing unit for transferring respective algorithms, and substitutes into the picture relative distance, be calculated each automobile it Between practical relative distance；

It is corresponding to generate each automobile for summarizing the unique identification and the practical relative distance for first generation unit The information of vehicles.

Further, the recognition unit includes:

Subelement is extracted, for extracting the automobile feature of each automobile respectively from each picture；

Screening subelement is screened for the automobile feature to be input in the registration information library constructed in advance respectively To the corresponding unique identification of the automobile feature.

Further, second parsing module includes:

Second judgment unit, for judge the first picture and it is described in rear picture whether be that same visual sensor is adopted Collection obtains；

Second computing unit, for the first automobile according to the first picture and the first of the visual sensor Distance and the automobile described in rear picture and the second distance of the visual sensor are calculated the position and become Change；Or for the first distance of the first automobile according to the first picture and visual sensor, described in rear picture Mounting distance between first automobile and the second distance and two visual sensors of visual sensor is calculated described Change in location；

Resolution unit obtains the corresponding driving information of the automobile for parsing the change in location.

Further, the first acquisition module includes:

Judging unit, for determining the current progress path of first automobile according to the driving direction；

Unit is transferred, for transferring the corresponding road cloth of the progress path from the road layout database constructed in advance Office, while an at least current monitor picture for the progress path is parsed, obtain current road information；

Second generation unit, for generating the road information according to the road layout and the current road information.

Further, the unit of transferring includes:

Identify subelement, for identification in the current monitor picture each lane automobile quantity, obtain road surface wagon flow letter Breath, while in the abnormal picture library that current monitor picture input is constructed in advance, screening obtains the current monitor picture Corresponding road surface exception information；

Subelement is generated, for generating the current road according to the road surface car flow information and the road surface exception information Information.

Further, the formulation module includes:

Screening unit, for inputting the travel speed in the vehicle distance data library constructed in advance, screening obtains the row Sail the corresponding current safety spacing of speed；

Third judging unit, for judging it is described whether the relative distance between first automobile and specified automobile is greater than Current safety spacing；

Output unit, the reception terminal for exporting prompt information to first automobile.

The application also provides a kind of computer equipment, including memory and processor, is stored with calculating in the memory The step of machine program, the processor realizes any of the above-described the method when executing the computer program.

The application also provides a kind of computer readable storage medium, is stored thereon with computer program, the computer journey The step of method described in any of the above embodiments is realized when sequence is executed by processor.

A kind of traffic control method, apparatus, computer equipment and storage medium using big data provided herein, By the camera monitoring of the entire road network to city, the road information and each vehicle letter of entire road network are directly acquired Breath realizes comprehensive regulation between vehicle and vehicle, vehicle and road, achievees the purpose that alleviate traffic congestion in advance.

Detailed description of the invention

Fig. 1 is the traffic control method and step schematic diagram that big data is utilized in one embodiment of the application；

Fig. 2 is the traffic control apparatus structure block diagram that big data is utilized in one embodiment of the application；

Fig. 3 is the structural schematic block diagram of the computer equipment of one embodiment of the application.

The embodiments will be further described with reference to the accompanying drawings for realization, functional characteristics and the advantage of the application purpose.

Specific embodiment

It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not For limiting the application.

Referring to Fig.1, a kind of traffic control method using big data is provided in one embodiment of the application, is applied to traffic Regulation platform, the traffic control platform include the multiple visual sensors being arranged in predeterminable area, and method includes:

S1: according to predeterminated frequency, plurality of pictures is acquired by each visual sensor simultaneously respectively, and using described more Picture constructs picture library；

In the present embodiment, the method for traffic control is applied to traffic control platform, which includes being arranged in predeterminable area It is interior, for example, entire city road network multiple visual sensors, visual sensor includes but is not limited to monitoring camera, this Embodiment is illustrated by taking monitoring camera as an example.Each monitoring camera in the provisioning process, records corresponding mounting height, peace The information such as the distance between angle, front and back monitoring camera and place are filled, and by these data inputs into traffic control platform, The performance of each monitoring camera is identical simultaneously.The picture shot between adjacent monitoring camera guarantees seamless connection as far as possible, i.e., The image that monitoring camera A and monitoring camera B take is 1 line segment, rather than 2 line segments, the scenery such as automobile in picture It can be with seamless connection.According to adjacent time shooting can be with the picture of seamless connection, in calculating of the later period to driving information When can guarantee that there is higher accuracy.Each monitoring camera carries out picture collection according to preset frequency simultaneously, and will clap The plurality of pictures taken the photograph is transported to traffic control platform.Traffic control platform is according to the place of each monitoring camera by corresponding figure Piece is grouped storage, constructs picture library.

S2: parsing each picture in the picture library, obtains information of vehicles, and the information of vehicles includes unique mark of automobile Know, the relative distance between the current location and each automobile of automobile；

In the present embodiment, user needs first to register on traffic control platform, by the automobile information of user, such as vehicle The trade mark, in the characteristic informations typing traffic control platform such as model of vehicle.Traffic control platform is by automobile information and connecing on automobile Receive terminal bound, so as to the later period export corresponding regulation and controlling of information to automobile reception terminal.Traffic control platform is according to prison The picture of control camera shooting is parsed, and is identified the automobile feature of each automobile, such as license plate number, is recorded when corresponding registered in advance The automobile information entered identifies each automobile, and establishes unique identification, and accurately the current location of each automobile is marked.Its In, the current location of automobile can be as accurate as automobile respectively in which lane, in which position in lane.Meanwhile passing through first Picture distance and the preparatory distortion factor calculated in picture between each automobile, can be calculated between each automobile Relative distance, i.e. spacing.

In the present embodiment, traffic control platform can also be according to the automobile feature of automobile in picture, with the vapour constructed in advance Car data library is compared, and identifies the type information of automobile, for example identify fire fighting truck, ambulance according to the shape of automobile Deng.Wherein, vehicle database is made of multiple groups automobile feature and car category correspondence.

S3: from the picture library, screening current time, the packet with the immediate adjacent time acquisition of the current time Two Target Photos of the first automobile containing the same unique identification；

S4: it is corresponding to obtain first automobile for the change in location of the first automobile described in two Target Photos of parsing Driving information, the driving information includes driving direction and travel speed；

In the present embodiment, since traffic control platform has carried out unique identification to each automobile, it is equivalent to the hand of each mobile phone Machine number.Traffic control platform can be filtered out from picture library current time and with the immediate adjacent time of current time Two of acquisition include the Target Photo of the first automobile of unique identification, and parse and obtain the first automobile in two Target Photos Change in location.Then the corresponding driving information of the first automobile is parsed according to geometry calculating.Wherein, change in location is specially Relative distance between one automobile and the monitoring camera for taking the first automobile.For example, the road between two monitoring cameras Road distance is 200m, frequency acquisition 10s, and the first automobile is at a distance from the first monitoring camera in the picture of previous time shooting First automobile and the second monitoring camera 12m in the picture shot for 90m, latter time.I.e. the first automobile advances in 10s 278m, speed per hour 100km/h, while according to the setting position of the first, second monitoring camera, it can be determined that go out the first automobile Driving direction.

S5: the current progress path of first automobile is determined according to the driving direction, and obtains the progress path Road information, the road information includes the road layout and information of road surface of the progress path；

In the present embodiment, traffic control platform needs the road layout information in the entire city of preparatory typing, such as number of track-lines Amount, if there are turning roadways, if having traffic lights etc., and be marked with the setting position of each monitoring camera, construct road Layout database, so that the later period transfers according to the picture that monitoring camera is shot the road layout information of corresponding automobile position.It hands over Lead to regulation platform according to the driving direction of the first automobile, determines and transfer the road information of progress path.The road information in addition to The road layout of preparatory typing further includes the information of road surface that monitoring camera takes on progress path picture parses. Traffic control platform can transfer corresponding road information, such as the first vehicle traveling direction according to the progress path of the first automobile Then the road information of progress path in 1000m goes out anterior approach according to the picture analyzing that monitoring camera on progress path is shot The information of road surface of diameter, such as the congestion information in current each lane, and whether have setting road with the presence or absence of foreign substance information, front Barrier.

S6: default according to first according to the information of vehicles, the driving information and the road information of first automobile The instruction of Rulemaking traffic control, and the traffic control is instructed to the reception terminal for being sent to first automobile.

In the present embodiment, traffic control platform is believed according to the vehicle that the picture that monitoring camera is shot parses to obtain each automobile Breath, driving information and road information, form the big data of the urban transportation, using after big data analysis according to the first preset rules Corresponding traffic control instruction is formulated, and sends traffic control instruction to the reception terminal of the first automobile.Traffic control platform It can be according to the relative distance and the corresponding regulation and controlling of information of corresponding travel speed output between each automobile.For example, traffic control is flat Platform detects that the current vehicle speed of the first automobile is 100km/h, and according to the regulation of traffic safety law, adjacent spacing should be in 100m More than, traffic control platform can remind the information that maintains safe distance to the according to the spacing of automobile before and after current first automobile, output The fore-aft vehicle of one automobile and the first automobile.Traffic control platform can also export corresponding become according to the type information of vehicle Road information.For example currently having ambulance trip, then traffic control platform is notified that all vehicles on ambulance progress path mention Before give way, avoid blocking to ambulance.Traffic control platform can also be according to the road information and traveling speed of progress path of car Degree, output phase answer regulation and controlling of information.For example, from the picture that monitoring camera is shot to parse the first automobile current for traffic control platform The wagon flow of traveling lane compares congestion, be detected simultaneously by the first automobile travel speed it is very fast when, export deceleration in advance.Or When person is provided with the foreign matter that roadblock etc. blocks the traffic in front of recognizing, traffic control platform exports lane change information to the vehicle in advance The reception terminal of first automobile in road.

Further, traffic control platform is interconnected with other public systems simultaneously in the present embodiment.Traffic control is flat Platform can adjust the traffic lights duration of traffic system according to the car flow information and people information of current road segment.Alternatively, by that will clap The picture taken the photograph is compared with abnormal picture library, and identification judges whether current road segment abnormal conditions occurs, and information is sent To corresponding processing mechanism.For example, automatically sending traffic accident picture and location information to when recognizing current road segment and having a car accident Traffic police and hospital.When recognizing current road has rubbish, environmental sanitation department is sent by corresponding picture and position, to locate in time Abnormal conditions are managed, traffic congestion is prevented.

Further, each picture includes more automobiles, and the information of vehicles includes practical opposite between each automobile Distance, each picture in the parsing picture library, the step of obtaining the information of vehicles in each picture, comprising:

S201: the automobile feature of each automobile in identification each picture, and each automobile is obtained according to each automobile feature respectively The corresponding unique identification；

S202: judge in each picture whether to include more automobiles；

S203: if including more automobiles, the picture relative distance between each automobile is obtained from each picture respectively；

S204: transferring respective algorithms, and substitutes into the picture relative distance, is calculated practical opposite between each automobile Distance；

S204: summarizing the unique identification and the practical relative distance, generates the corresponding information of vehicles of each automobile.

In the present embodiment, traffic control platform extracts the automobile of each automobile from the first picture that monitoring camera is shot Feature, such as license plate number, car light shape, logo shape etc..Then by the corresponding automobile input record in advance of each automobile of extraction It is screened in the registration information library entered, recognizes the corresponding unique identification of each automobile, so that the regulation and controlling of information in later period is sent out It is sent to corresponding automobile.Traffic control platform after the unique identification of each automobile, judges each the first figure in obtaining the first picture It whether include more automobiles in piece.If in the first picture including more automobiles, directly from the first picture of shooting It detects the picture relative distance between each automobile, it is opposite then to transfer the reality that corresponding algorithm is calculated between each automobile Distance.Wherein, the algorithm picture distance that include traffic control platform shoot previously according to monitoring camera and actual distance meter The distortion factor calculated, traffic control platform by picture relative distance multiplied by distortion factor after, each automobile can be calculated Between practical relative distance.Algorithm specifically: Y=X*S, wherein Y is practical relative distance, and X is picture relative distance, and S is Distortion factor.The height and angle installed due to all monitoring cameras are all identical, so distortion factor is suitable for entire hand over The picture of logical regulation platform calculates.Traffic control platform summarizes the unique identification and corresponding practical relative distance of each automobile, raw At the corresponding information of vehicles of each automobile.

Further, the automobile feature for identifying each automobile in each picture, and obtained respectively according to each automobile feature The step of unique identification corresponding to each automobile, comprising:

S2011: the automobile feature of each automobile is extracted from each picture；

The automobile feature: being input in the registration information library constructed in advance by S2012 respectively, and screening obtains the automobile The corresponding unique identification of feature, the registration information library is by the automobile feature of typing when the registration of multiple groups user vehicle and according to vapour The corresponding composition of the unique identification that vehicle feature generates, reception of the unique identification for the traffic control land identification automobile are whole End, to carry out data transmission.

In the present embodiment, traffic control platform constructs a registration information library in advance, which infuses for user The automobile feature of typing automobile when volume, and according to automobile feature the automobile in each picture is identified, identified, by multiple groups automobile The automobile feature of typing when user's registration and the corresponding composition of unique identification generated according to automobile feature.Traffic control platform from Extract the automobile feature of each automobile, such as license plate number in the picture of monitoring camera shooting, logo shape etc., and by automobile spy It is screened in the registration information library that sign input constructs in advance, such as the license plate in the license plate number and registration information library in picture Number is compared, to identify corresponding automobile, and unique identification is established for the automobile, so that the later period can will regulate and control Information can identify the reception terminal of automobile according to unique identification, send the corresponding vapour of unique identification for corresponding regulation and controlling of information Vehicle.

Further, two Target Photos are respectively first picture and in rear figure according to acquisition time sequencing Piece, the change in location of the first automobile described in two Target Photos of the parsing, obtains the corresponding row of first automobile The step of sailing information, comprising:

S401: judge whether the first picture and the successive picture are that same visual sensor collects；

S402: if same visual sensor collects, then the first automobile according to the first picture and institute State visual sensor first distance and first automobile described in rear picture and the visual sensor second away from From the change in location is calculated；If not same visual sensor collects, then according to the first picture The first distance of first automobile and visual sensor, first automobile described in rear picture and visual sensor second away from The change in location is calculated from the mounting distance between two visual sensors, the mounting distance measures in advance Road distance between two visual sensors；

S403: parsing the change in location, obtains the corresponding driving information of the automobile.

In the present embodiment, traffic control platform can become according to the position of automobile in the Target Photo that monitoring camera is shot The driving direction and travel speed of all vehicles, i.e. driving information is precipitated in neutralizing, is said by taking a specific automobile as an example here It is bright.What traffic control platform filtered out the acquisition of the first automobile adjacent time from the first picture includes that this has unique identification The first automobile two Target Photos, this two Target Photos according to the sequence of acquisition time be respectively first picture and In rear picture.It, can since the first picture of traffic control platform each monitoring camera shooting in advance carries out marshalling processing Judged easily formerly, in rear picture whether to be to obtain captured by same monitoring.If being formerly, same monitoring in rear picture Camera shoots to obtain, the setting angle and elevation information of typing when being installed according to monitoring camera, calculate respectively formerly, Afterwards in picture the first automobile and monitoring camera first distance and second distance, parsed further according to first distance and second distance The travel speed and driving direction of automobile out.For example, formerly the first distance of the first automobile and monitoring camera is in picture 150m, the second distance of the first automobile and monitoring camera is 50m in rear picture, and the frequency acquisition of monitoring camera is 10s, Then the travel speed of the first automobile is 36km/h, and the driving direction of the first automobile is close to the direction of monitoring camera.Such as Fruit is respectively that the first, second monitoring camera shoots to obtain formerly, in rear picture, then needs according to the first automobile in first picture The second distance and two visions of the first automobile and visual sensor pass with the first distance of visual sensor, in rear picture Change in location is calculated in mounting distance between sensor, and the change in location of the first automobile of parsing obtains the traveling letter of the first automobile Breath.For example, the road distance between each monitoring camera is 200m, the first automobile is at a distance from the first monitoring camera in picture For 90m, automobile and the second monitoring camera 12m in Target Photo.That is the automobile has advanced 278m in 10s, and travel speed is 100km/h.Meanwhile it can be obtained according to the first automobile in the variation of the relative distance in the successive time between two cameras To driving direction.

Further, the current progress path of first automobile is determined according to the driving direction, and obtain it is described before The step of road information of inbound path, comprising:

S501: the current progress path of first automobile is determined according to the driving direction；

S502: the corresponding road layout of the progress path is transferred from the road layout database constructed in advance, simultaneously At least current monitor picture for parsing the progress path, obtains current road information, the current monitor picture be from The first picture corresponding with the progress path screened in the picture library；

S503: the road information is generated according to the road layout and the current road information.

In the present embodiment, the traffic control platform interior preparatory typing road layout information architecture road cloth in entire city Office data library.Traffic control platform is judged according to the picture of the first automobile that the acquisition of two neighboring time includes unique identification After the driving direction of first automobile, according to driving direction therefore, it is determined that the next progress path of the first automobile, and from road cloth The road layout of the next progress path of the first automobile is transferred in office data library, for example, on progress path lane quantity, be It is no to be equipped with turning roadway, if to have traffic lights etc..Then, traffic control platform is by parsing the current of each monitoring camera shooting Picture is monitored, to obtain the current road information of the progress path of the first automobile, for example can directly pass through current monitor figure Piece obtains the car flow information in current each lane, or with the presence or absence of foreign matters such as roadblock, rubbish.Traffic control platform integrates anterior approach The road layout and current road information of diameter generate road information.

Further, the step of road information being generated according to the road layout and the current road information, packet It includes:

S5031: identifying the automobile quantity in each lane in the current monitor picture, obtain road surface car flow information, simultaneously will In the abnormal picture library that the current monitor picture input constructs in advance, screening obtains the corresponding road surface of the current monitor picture Exception information includes abnormal picture and the one-to-one multi-group data of road surface exception information in the exception picture library；

S5032: according to the road surface car flow information and the road surface exception information, the current road information is generated.

In the present embodiment, traffic control platform can parse entire city according to the first picture that monitoring camera is shot Road network information of road surface.By taking the road of the progress path of the first automobile as an example, traffic control platform is according to the road institute The current monitor picture for having monitoring camera to shoot, can identify the automobile quantity for counting each lane of the road, thus export Current road surface car flow information, such as the section of 500m are greater than 100 automobiles, are determined as heavy congestion；Greater than 60 less than 100 Be congestion；It less than 60 is normal greater than 40.Meanwhile traffic control platform can carry out abnormal feelings according to current monitor picture Condition detection.Various abnormal image typings are built into abnormal picture library in advance by traffic control platform.Wherein, it is wrapped in abnormal picture library Include abnormal picture and the one-to-one multi-group data of road surface exception information.When in use, directly by the current monitor picture of shooting It inputs abnormal picture library to compare, screens corresponding road surface abnormal conditions.For example, the current prison that monitoring camera takes Control picture has the image of roadblock, and regulation after comparing can obtain the progress path and be provided with roadblock, and the road surface is believed extremely Breath summarizes generation current road information with road surface car flow information.

Further, the information of vehicles, the driving information and the road information according to first automobile, is pressed In the step of formulating traffic control instruction according to the first preset rules, comprising:

S601: in the vehicle distance data library that the travel speed input constructs in advance, it is corresponding that screening obtains the travel speed Current safety spacing, include travel speed and the one-to-one multi-group data of safe distance between vehicles in the vehicle distance data library；

S602: judge whether the relative distance between first automobile and specified automobile is greater than the current safety vehicle Away from the specified automobile is the automobile that same lane is adjacent in the driving direction of first automobile；

S603: if being less than the current safety spacing, reception terminal of the prompt information to first automobile, institute are exported Stating prompt information includes best travel speed, and the best travel speed is opposite between first automobile and specified automobile Distance corresponding travel speed in the vehicle distance data library

In the present embodiment, information of vehicles, driving information and road information of the traffic control platform according to the first automobile, according to First preset rules were formulated in the step of traffic control instruction, the travel speed of the first automobile can be inputted the vehicle constructed in advance Away from database, the corresponding current safety spacing of current travel speed is obtained to screen.Wherein, include in vehicle distance data library Travel speed and the one-to-one multi-group data of safe distance between vehicles.Pair between travel speed and safe distance between vehicles in vehicle distance data library Should be related to it is using traffic safety law as foundation.Such as the regulation according to traffic safety law, when the travel speed of automobile is 100km/ H, adjacent spacing should be in 100m or more.Traffic control system obtains and specified automobile in the information of vehicles according to the first automobile Between relative distance, relative distance is compared with current safety spacing, thus judgement size relation between the two.Its In, specify the automobile that same lane is adjacent in the driving direction that automobile is the first automobile.If the first automobile and specified automobile it Between relative distance be greater than current safety spacing, then traffic control platform does not need instruction of making a response.If the first automobile with Relative distance between specified automobile is less than current safety spacing, and traffic control platform is then according to unique mark, output prompt letter The reception terminal to the first automobile is ceased, to prompt the driver of the first automobile to pay attention to maintaining safe distance.Wherein, prompt information includes most Good travel speed.Best relative distance of the travel speed between the first automobile and specified automobile is corresponding in vehicle distance data library Travel speed.For example current spacing is 80, corresponding best travel speed is 50km/h.

Further, after the step of parsing first picture obtains information of vehicles, comprising:

S7: the corresponding history row of all second automobiles in mark automobile preset range is obtained from default third-party platform Record is sailed, the mark automobile is the automobile with the unique identification；

S8: travelling according to the history and record, and judges second automobile with the presence or absence of record in violation of rules and regulations respectively；

S9: recording in violation of rules and regulations if it exists, and the violation number of second automobile is obtained from history traveling record；

S10: judge whether the violation number is greater than preset times；

S11: if more than preset times, reception terminal of the information warning to the mark automobile, the information warning are exported Including violation type and violation number.

In the present embodiment, traffic control platform will do it the history traveling record of registered and unique identification automobile and deposit Storage.When mark automobile navigation equipment connect with traffic control platform, and traffic control platform pass through monitoring camera shooting The first picture recognition to mark automobile with unique identification when, can automatically from default third-party platform, such as traffic information The history traveling record of all second automobiles in mark automobile preset range is transferred in website, and travels record judgement according to history The driving habits of second automobile whether there is unlawful practice.For example, whether the second automobile often overtakes other vehicles without reason.If so, traffic Regulation platform can travel in record from history and transfer the violation number of the second automobile, and be compared with preset times.If the The violation number of two automobiles is greater than preset times, then traffic control platform can export corresponding information warning connecing to mark automobile Receive terminal.Wherein, information warning includes the violation type and violation number of the second automobile, for example violation type is to drive over the speed limit, Violation number is 5 times.

In another embodiment, traffic control platform can judge according to the history car flow information of the road network in the city Whether will appear traffic congestion in daily probably some section of some period out.And walking along the street is sent out by these information correspondence The user that diameter is overlapped with these traffic congestion sections notifies user that can shift to an earlier date or delay predicted time, hands over so as to evade Logical congestion.

A kind of traffic control method using big data provided in the present embodiment, passes through the entire road network to city Camera monitoring, directly acquire the road information and each information of vehicles of entire road network, realize between vehicle and vehicle, vehicle and road Comprehensive regulation, achieve the purpose that in advance alleviate traffic congestion.

Referring to Fig. 2, a kind of traffic control device using big data is additionally provided in one embodiment of the application, comprising:

Module 1 is constructed, for acquiring plurality of pictures simultaneously by each visual sensor respectively according to predeterminated frequency, And picture library is constructed using the plurality of pictures.

In the present embodiment, the method for traffic control is applied to traffic control platform, which includes being arranged in predeterminable area It is interior, for example, entire city road network multiple visual sensors, visual sensor includes but is not limited to monitoring camera, this Embodiment is illustrated by taking monitoring camera as an example.Each monitoring camera in the provisioning process, records corresponding mounting height, peace The information such as the distance between angle, front and back monitoring camera and place are filled, and by these data inputs into traffic control platform, The performance of each monitoring camera is identical simultaneously.The picture shot between adjacent monitoring camera guarantees seamless connection as far as possible, i.e., The image that monitoring camera A and monitoring camera B take is 1 line segment, rather than 2 line segments, the scenery such as automobile in picture It can be with seamless connection.According to adjacent time shooting can be with the picture of seamless connection, in calculating of the later period to driving information When can guarantee that there is higher accuracy.Each monitoring camera carries out picture collection according to preset frequency simultaneously, and will clap The first picture of multiple taken the photograph is transported to traffic control platform.Traffic control platform will be corresponded to according to the place of each monitoring camera The first picture be grouped storage, construct picture library.

First parsing module 2 obtains the vehicle letter in each picture for parsing each picture in the picture library Breath.

In the present embodiment, user needs first to register on traffic control platform, by the automobile information of user, such as vehicle The trade mark, in the characteristic informations typing traffic control platform such as model of vehicle.Traffic control platform is by automobile information and connecing on automobile Receive terminal bound, so as to the later period export corresponding regulation and controlling of information to automobile reception terminal.Traffic control platform is according to prison First picture of control camera shooting is parsed, and identifies that the automobile feature of each automobile, such as license plate number, correspondence are registered in advance When typing automobile information each automobile is identified, and establish unique identification, accurately the current location of each automobile marked Note.Wherein, the current location of automobile can be as accurate as automobile respectively in which lane, in which position in lane.Meanwhile passing through In first picture between each automobile picture distance and in advance calculate come distortion factor, can be calculated each automobile it Between relative distance, i.e. spacing.

In the present embodiment, traffic control platform can also be according to the automobile feature of automobile in the first picture, with preparatory building Vehicle database be compared, identify the type information of automobile, for example fire fighting truck is identified according to the shape of automobile, give first aid to Vehicle etc..Wherein, vehicle database is made of multiple groups automobile feature and car category correspondence.

Screening module 3 is screening current time, immediate adjacent with the current time for from the picture library Time acquisition, include two Target Photos of the first automobile of the same unique identification；

Second parsing module 4 obtains institute for parsing the change in location of the first automobile described in two Target Photos State the corresponding driving information of the first automobile.

In the present embodiment, since traffic control platform has carried out unique identification to each automobile, it is equivalent to personal identity card. Traffic control platform can be filtered out from picture library current time and with current time immediate adjacent time acquisition Two include unique identification the first automobile Target Photo, and parse obtain the position of the first automobile in two Target Photos Variation.Then the corresponding driving information of the first automobile is parsed according to geometry calculating.Wherein, change in location is specially the first automobile With take the first automobile monitoring camera between relative distance.For example, the road distance between two monitoring cameras For 200m, frequency acquisition 10s, the first automobile is 90m with the first monitoring camera at a distance from the picture of previous time shooting, First automobile and the second monitoring camera 12m in the picture of latter time shooting.That is the first automobile has advanced 278m in 10s, Speed per hour is 100km/h, while according to the setting position of the first, second monitoring camera, it can be determined that goes out the traveling of the first automobile Direction.

First obtains module 5, for determining the current progress path of first automobile according to the driving direction, and obtains Take the road information of the progress path.

Module 6 is formulated, for the information of vehicles, the driving information and the road information according to first automobile, Traffic control instruction is formulated according to the first preset rules, and sends traffic control instruction to the reception of first automobile Terminal.

Further, first parsing module 2 includes:

Further, the recognition unit includes:

In the present embodiment, traffic control platform constructs a registration information library in advance, which infuses for user The automobile feature of typing automobile when volume, and according to automobile feature the automobile in the first picture is identified, identified, by multiple groups vapour The automobile feature of typing when vehicle user's registration and the corresponding composition of unique identification generated according to automobile feature.Traffic control platform The automobile feature of each automobile, such as license plate number, logo shape etc. are extracted from the first picture that monitoring camera is shot, and are incited somebody to action It is screened in the registration information library that the input of automobile feature constructs in advance, such as license plate number and registration information in the first picture License plate number in library is compared, to identify corresponding automobile, and unique identification is established for the automobile, so as to the later period The reception terminal that automobile can be identified according to unique identification, sends the corresponding automobile of unique identification for corresponding regulation and controlling of information.

Further, second parsing module 4 includes:

Further, the first acquisition module 5 includes:

Further, the unit of transferring includes:

Further, the formulation module 6 includes:

Further, the traffic control device further include:

Second obtains module, for obtaining all second automobiles point in mark automobile preset range from default third-party platform Not corresponding history traveling record；

First judgment module is recorded for being travelled according to the history, judges second automobile with the presence or absence of separated respectively Rule record；

Third obtains module, for obtaining the violation number of second automobile from history traveling record；

Second judgment module, for judging whether the violation number is greater than preset times；

Output module, the reception terminal for exporting information warning to the mark automobile.

A kind of traffic control device using big data provided in the present embodiment, passes through the entire road network to city Camera monitoring, directly acquire the road information and each information of vehicles of entire road network, realize between vehicle and vehicle, vehicle and road Comprehensive regulation, achieve the purpose that in advance alleviate traffic congestion.

Referring to Fig. 3, a kind of computer equipment is also provided in the embodiment of the present application, which can be server, Its internal structure can be as shown in Figure 3.The computer equipment includes processor, the memory, network connected by system bus Interface and database.Wherein, the processor of the Computer Design is for providing calculating and control ability.The computer equipment is deposited Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program And database.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium. The database of the computer equipment is for storing the data such as picture library.The network interface of the computer equipment is used for and external end End passes through network connection communication.To realize a kind of traffic control side using big data when the computer program is executed by processor Method.

Above-mentioned processor executes the step of above-mentioned traffic control method using big data:

S202: judge in each picture whether to include more automobiles；

S10: judge whether the violation number is greater than preset times；

It will be understood by those skilled in the art that structure shown in Fig. 3, only part relevant to application scheme is tied The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme.

One embodiment of the application also provides a kind of computer readable storage medium, is stored thereon with computer program, calculates Machine program realizes a kind of traffic control method using big data when being executed by processor, specifically:

S202: judge in each picture whether to include more automobiles；

S10: judge whether the violation number is greater than preset times；

S11: if more than preset times, reception terminal of the information warning to the mark automobile, the information warning are exported Including violation type and violation number

In conclusion being a kind of traffic control method, apparatus using big data provided in the embodiment of the present application, calculating Machine equipment and storage medium.

Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, the computer program can store and a non-volatile computer In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, Any reference used in provided herein and embodiment to memory, storage, database or other media, Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM (PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM can by diversified forms , such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double speed are according to rate SDRAM (SSRSDRAM), increasing Strong type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..

It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row His property includes, so that the process, device, article or the method that include a series of elements not only include those elements, and And further include the other elements being not explicitly listed, or further include for this process, device, article or method institute it is intrinsic Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do There is also other identical elements in the process, device of element, article or method.

The foregoing is merely preferred embodiment of the present application, are not intended to limit the scope of the patents of the application, all utilizations Equivalent structure or equivalent flow shift made by present specification and accompanying drawing content is applied directly or indirectly in other correlations Technical field, similarly include in the scope of patent protection of the application.

Claims

1. a kind of traffic control method using big data, which is characterized in that be applied to traffic control platform, the traffic control Platform includes the multiple visual sensors being arranged in predeterminable area, which comprises

According to predeterminated frequency, plurality of pictures is acquired by each visual sensor simultaneously respectively, and use the plurality of pictures Construct picture library；

Each picture in the picture library is parsed, the information of vehicles in each picture is obtained, the information of vehicles includes automobile Unique identification, automobile current location and each automobile between relative distance；

From the picture library, screening current time, with the current time immediate adjacent time acquisition, include same Two Target Photos of the first automobile of one unique identification；

The change in location for parsing the first automobile described in two Target Photos, obtains the driving information of first automobile, The driving information includes driving direction and travel speed；

The current progress path of first automobile is determined according to the driving direction, and obtains the road letter of the progress path Breath, the road information includes the road layout and information of road surface of the progress path；

According to the information of vehicles, the driving information and the road information of first automobile, according to the first preset rules system Determine traffic control instruction, and sends traffic control instruction to the reception terminal of first automobile.

2. the traffic control method according to claim 1 using big data, which is characterized in that the parsing picture Each picture in library, the step of obtaining the information of vehicles in each picture, comprising:

Identify the automobile feature of each automobile in each picture, and it is corresponding described according to each automobile feature to obtain each automobile respectively Unique identification；

Judge in each picture whether to include more automobiles；

If the picture relative distance between each automobile is obtained from each picture respectively including more automobiles；

Respective algorithms are transferred, and substitute into the picture relative distance, the practical relative distance between each automobile is calculated；

Summarize the unique identification and the practical relative distance, generates the corresponding information of vehicles of each automobile.

3. the traffic control method according to claim 2 using big data, which is characterized in that identification each figure The automobile feature of each automobile in piece, and the step of corresponding unique identification of each automobile is obtained according to each automobile feature respectively, Include:

Extract the automobile feature of each automobile respectively from each picture；

The automobile feature is input in the registration information library constructed in advance respectively, it is corresponding that screening obtains the automobile feature Unique identification, the registration information library are generated by the automobile feature of typing when the registration of multiple groups user vehicle and according to automobile feature The corresponding composition of unique identification, the unique identification is used for the reception terminal of the traffic control land identification automobile, to carry out Data transmission.

4. the traffic control method according to claim 1 using big data, which is characterized in that two Target Photos It is respectively according to the sequence of acquisition time first picture and in rear picture, described in two Target Photos of the parsing The change in location of first automobile, the step of obtaining first automobile corresponding driving information, comprising:

Judge the first picture and it is described in rear picture whether be that same visual sensor collects；

If same visual sensor collects, then the first automobile according to the first picture and the visual sensing The first distance of device and the automobile described in rear picture and the second distance of the visual sensor are calculated described Change in location；

If not same visual sensor collects, then the first automobile and visual sensor according to the first picture First distance, first automobile described in rear picture and visual sensor second distance and two visual sensors it Between mounting distance the change in location is calculated, the mounting distance is between two visual sensors measured in advance Road distance；

The change in location is parsed, the corresponding driving information of the automobile is obtained.

5. the traffic control method according to claim 1 using big data, which is characterized in that described according to the traveling Direction determines the current progress path of first automobile, and the step of obtaining the road information of the progress path, comprising:

The current progress path of first automobile is determined according to the driving direction；

The corresponding road layout of the progress path is transferred from the road layout database constructed in advance, at the same parse it is described before An at least current monitor picture for inbound path, obtains current road information, and the current monitor picture is from the picture library The picture corresponding with the progress path of middle screening；

The road information is generated according to the road layout and the current road information.

6. the traffic control method according to claim 5 using big data, which is characterized in that the parsing advance An at least current monitor picture in path, the step of obtaining current road information, comprising:

The automobile quantity for identifying each lane in the current monitor picture, obtains road surface car flow information, and by the current monitor In the abnormal picture library that picture input constructs in advance, screening obtains the corresponding road surface exception information of the current monitor picture, institute State in abnormal picture library includes abnormal picture and the one-to-one multi-group data of road surface exception information；

The current road information is generated according to the road surface car flow information and the road surface exception information.

7. the traffic control method according to claim 1 using big data, which is characterized in that described according to described first The information of vehicles of automobile, the driving information and the road information formulate traffic control instruction according to the first preset rules In step, comprising:

In the vehicle distance data library that travel speed input is constructed in advance, screening obtains the corresponding current peace of the travel speed Full spacing includes travel speed and the one-to-one multi-group data of safe distance between vehicles in the vehicle distance data library；

Judge whether the relative distance between first automobile and specified automobile is greater than the current safety spacing, it is described specified Automobile is the automobile that same lane is adjacent in the driving direction of first automobile；

If being less than the current safety spacing, reception terminal of the prompt information to first automobile, the prompt letter are exported Breath includes best travel speed, and relative distance of the best travel speed between first automobile and specified automobile is in institute State corresponding travel speed in vehicle distance data library.

8. a kind of traffic control device using big data characterized by comprising

Module is constructed, for acquiring plurality of pictures simultaneously by each visual sensor respectively, and use according to predeterminated frequency The plurality of pictures constructs picture library；

Screening module, for from the picture library, screening current time to be adopted with the immediate adjacent time of the current time Collection, include two Target Photos of the first automobile of the same unique identification；

Second parsing module obtains described for parsing the change in location of the first automobile described in two Target Photos The corresponding driving information of one automobile；

First obtains module, for determining the current progress path of first automobile according to the driving direction, and obtains institute State the road information of progress path；

Module is formulated, for the information of vehicles, the driving information and the road information according to first automobile, according to the One preset rules formulate traffic control instruction, and send traffic control instruction to the reception terminal of first automobile.

9. a kind of computer equipment, including memory and processor, it is stored with computer program in the memory, feature exists In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.

10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program The step of method described in any one of claims 1 to 7 is realized when being executed by processor.