CN108765952A - A kind of traffic big data suspected vehicles raid supervision method and device - Google Patents

A kind of traffic big data suspected vehicles raid supervision method and device Download PDF

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Publication number
CN108765952A
CN108765952A CN201810599285.3A CN201810599285A CN108765952A CN 108765952 A CN108765952 A CN 108765952A CN 201810599285 A CN201810599285 A CN 201810599285A CN 108765952 A CN108765952 A CN 108765952A
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China
Prior art keywords
vehicle
suspected vehicles
vehicles
information
suspected
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Inventor
金仲存
田伟
朱威
徐铮波
林博伟
张美晶
姬淑娟
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Xi'an Yinjiang Smart City Technology Co Ltd
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Xi'an Yinjiang Smart City Technology Co Ltd
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Priority to CN201810599285.3A priority Critical patent/CN108765952A/en
Publication of CN108765952A publication Critical patent/CN108765952A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles
    • G08G1/0175Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/07Controlling traffic signals

Abstract

A kind of traffic big data suspected vehicles raid supervision method, including:Method is found by suspected vehicles, determines suspected vehicles blacklist and suspected vehicles characteristic information;When the vehicle of number plate identical as suspected vehicles occurs, it is suspected vehicles or normal vehicle according to the basic information of suspected vehicles and characteristic information judgement, alarm is then carried out if it is suspected vehicles and raids interception, and is carried out coordinated signals with intelligent traffic signal machine near suspected vehicles and extended time of the suspected vehicles by crossing;If it is normal vehicle then without alarm.The present invention largely improves the discovery rate of clone's fake-licensed car and places under arrest success rate, and largely avoids the waste of police strength resource.

Description

A kind of traffic big data suspected vehicles raid supervision method and device
Technical field
The invention belongs to urban traffic safety fields, and be related to suspected vehicles raids supervision method and device, purpose It is quickly to find suspected vehicles, realize quickly raiding to suspected vehicles, carrying out cracking of cases for public security organ provides technology Support.
Background technology
With rapid development of economy, car ownership sustainable growth, vehicle fake-license, accident escape, vehicle robber rob, utilize Phenomena such as automobile crime getting worse, public security organ brings prodigious pressure to traffic administration.
In view of the above-mentioned problems, public security organ, which establishes, raids the system of deploying to ensure effective monitoring and control of illegal activities, blacklist library has been built inside the system, will have been disliked The license plate number information typing blacklist library of vehicle is doubted, bayonet of the application and construction on road is crossed vehicle record system, acquired in real time Vehicle information, once find that identical with the suspected vehicles license plate number recorded in blacklist library vehicle travels on road, immediately into Row alarm, and related policeman is notified to carry out raiding interception.But in actually raiding interception work, interception rate is not high, mainly Because suspected vehicles are dynamic transport conditions on road surface and urban road intersection is very more, the road that suspected vehicles may travel There are many diameter, to precisely intercept, it is necessary to put into many police strength and be intercepted in each section that may be travelled, while to police strength Time of arrival requirement is very high, and practical operation is difficult, and police strength is limited, and has many warning messages daily, takes very More police strength will alarm after vehicle successfully intercepts, but be likely to be actually to cause prodigious police by the normal vehicle of deck The power wasting of resources.
Existing suspected vehicles raid supervision method, are mainly based upon the methods of vehicle space time analysis, and determine deck Suspected vehicles, while finding that suspected vehicles are alarmed immediately.
A kind of vehicle parking driving trace positioning is provided in the patent of invention that number of patent application is 201410060090.3 Raid system in real time.The geography information for the specific road monitoring point that the system is captured according to parking lot and vehicle, in PIGS The parking of vehicle or the track of traveling are drawn in figure, if the vehicle of car plate identical as suspected vehicles is reported immediately when occurring Alert prompt.The system is to show the driving trace of certain vehicle, and reporting occurs in the vehicle of number plate identical as deck suspected vehicles It is alert, and not differentiating between the vehicle is arranged after needing policeman to be intercepted to scene by deck normal vehicle or deck suspected vehicles It looks into and just can confirm that, the police strength wasting of resources can be led to if it is normal vehicle, and unnecessary trouble can be brought to car owner.
One kind is provided in the patent of invention that number of patent application is 201511026839.3, and vehicle big data point is crossed based on bayonet The fake-licensed car identification of analysis.This method is according to time and space relationship, to primarily determine suspected vehicles, while being schemed according to two kinds As verification is identified to number plate of vehicle in recognizer model.This method can find there is set according to time and spatial relationship The vehicle license plate number of board suspicion, but can not judge deck suspected vehicles or by deck normal vehicle, as long as causing to be somebody's turn to do The vehicle of number plate is just alarmed immediately, largely wastes limited police strength resource.
A kind of fake license plate vehicle, which is provided, in the patent of invention that number of patent application is 201410351356.X raids supervision method. This method is calculated using next time time and fake-licensed car suspicion degree calculates, and suspicious fake license plate vehicle table is obtained, mainly according to same In time slot by bayonet capture point number number determine best point of deploying to ensure effective monitoring and control of illegal activities, but in real work, deploy to ensure effective monitoring and control of illegal activities at these Point needs to arrange for police strength and keeps watch interception, and it is by deck normal vehicle or deck suspicion vehicle that warning message, which cannot be distinguished, , it crosses the more best bayonet point of deploying to ensure effective monitoring and control of illegal activities of train number number at these and intercepts suspected vehicles, need to expend prodigious police strength resource.
A kind of vehicle based on image feature comparison is provided in the patent of invention that number of patent application is 201310170646.X Deck recognition methods.This method mainly extracts the number plate of vehicle and vehicle of discovery, and according to number plate of vehicle from vehicle feature It is retrieved in library, whether determination is consistent with the vehicle in vehicle feature database, if it is inconsistent, being included in deck suspicion library, and passes through Deck enhances identification module, and situation, the car plate fuzzy coefficient of vehicle image to be identified and number-plate number mistake are made up according to car plate The size of clustering factor is to determine whether be fake-licensed car.This method can be found that the fake-licensed car of different automobile types, but some industries Car operation quotient or operation individual clone many vehicles in road traveling to increase profit, that is, clone fake-licensed car (clone's deck Vehicle, that is, the number-plate number, body color, vehicle trade mark, vehicle are completely the same), this method at all can not for these clone's fake-licensed cars Identification.
Invention content
The traffic big data suspected vehicles based on vehicle characteristics raid supervision method that the object of the present invention is to provide a kind of and Device, for quickly, precisely find suspected vehicles, it is efficient in time carry out suspected vehicles raid work.
The technical solution adopted by the present invention is:
A kind of traffic big data suspected vehicles based on vehicle characteristics raid supervision method, it is characterised in that:Including:
Method is found by suspected vehicles, determines whether the vehicle of acquisition is suspected vehicles, if it is decided that it is suspected vehicles, Then update suspected vehicles blacklist and suspected vehicles characteristic information;
When the vehicle of number plate identical as suspected vehicles occurs, judged according to the basic information of suspected vehicles and characteristic information It is suspected vehicles or normal vehicle, alarm is then carried out if it is suspected vehicles and raids interception, and is intelligent nearby with suspected vehicles Traffic signaling equipment carries out coordinated signals and extends time of the suspected vehicles by crossing;If it is normal vehicle then without alarm.
Further, suspected vehicles find that method includes:
It acquires the bayonet in the vehicles while passing record data and road in each parking lot and crosses vehicle record data;
According to collected data, vehicle characteristic information extraction is carried out in conjunction with video identification technology;
The vehicle characteristic information of extraction and vehicle basic database, vehicle blacklist library and vehicle characteristic information library are carried out It compares, judgement is that normal vehicle, suspected vehicles or " possible fake-licensed car " then need further if it is " possible fake-licensed car " Judgement is normal vehicle or suspected vehicles;
If it is determined that being normal vehicle, then without alarm, if it is decided that be suspected vehicles, then alarm, and will dislike It doubts number plate of vehicle and analyzes the suspected vehicles characteristic write-in vehicle blacklist library come, find the suspected vehicles again next time It alarms immediately.
Further, if it is decided that be " possible fake-licensed car ", be then normal vehicle or suspicion vehicle by manual examination and verification judgement ?.
Further, the vehicle characteristic information of the extraction includes body color, vehicle, vehicle brand, vehicle system and headstock Characteristics of image, the headstock characteristics of image include vehicle mark of conformity, insurance mark, annual examination mark and environmental mark before vehicle The relative position information puted up on windshield.
Further, when the vehicle characteristic information of the extraction is compared with vehicle basic database, if information comparison is consistent, Then directly terminate to operate with the comparison of vehicle basic database, if information comparison is inconsistent, vehicle, vehicle brand, vehicle system, vehicle Body color any one is inconsistent or the affiliated people/institutional affiliation of vehicle is sky, then judges the vehicle for suspected vehicles, by the suspicion The number plate of vehicle and characteristic information of vehicle are retrieved in vehicle blacklist library, if deposited in vehicle blacklist library Suspected vehicles alarm is then directly being carried out, interception is being raided, if be not present in vehicle blacklist library, by the suspected vehicles Number plate of vehicle and characteristic information write-in vehicle blacklist library, and it is deck to indicate reason of deploying to ensure effective monitoring and control of illegal activities, and then carries out suspected vehicles alarm, Raid interception.
Further, the vehicle characteristic information of the extraction is compared with vehicle blacklist library, if in vehicle blacklist The number plate of vehicle is not found in library, then judges the vehicle for normal vehicle, without alarm, if found in vehicle blacklist library The number plate of vehicle is then further compared with the suspected vehicles characteristic information in blacklist library, if information comparison is inconsistent, Then it is determined as normal vehicle, without alarm, if information comparison is consistent, judges the vehicle for suspected vehicles, carry out suspicion vehicle Alarm, raid interception.
Further, the vehicle characteristic information of the extraction is compared with vehicle characteristic information library, if the number plate of vehicle It is not present in vehicle characteristic information library, then by the number plate of vehicle and vehicle characteristic information write-in vehicle characteristic information library, if It has existed in vehicle characteristic information library, is compared with the vehicle characteristic information in vehicle characteristic information library, if vehicle Characteristic information compares consistent, then judges the vehicle for normal vehicle, without alarm, if vehicle characteristic information compare it is inconsistent, Then preliminary judgement is that " possible fake-licensed car ", should if manual examination and verification are determined as deck suspected vehicles by manually being audited The number-plate number and vehicle characteristic information write-in vehicle the blacklist library of vehicle, reason of deploying to ensure effective monitoring and control of illegal activities is labeled as deck, if manual examination and verification Judgement is not deck suspected vehicles, then by the number plate of vehicle and vehicle characteristic information write-in vehicle characteristic information library.
Further, if it find that be that suspected vehicles then carry out alarm and raid interception, and with neighbouring intelligent traffic signal machine It carries out coordinated signals and extends time of the suspected vehicles by crossing, be as follows:
(1) when finding suspected vehicles, auto-associating suspected vehicles nearby (near being within the scope of 1000 meters, also may be used With self-defined distance range) intelligent traffic signal machine, by the information such as the number plate of vehicle, body color, vehicle of suspected vehicles from It is dynamic to be sent to associated intelligent traffic signal machine;
(2) after intelligent traffic signal machine receives the information of suspected vehicles, by the intelligence being connected with itself received point Analysis identification high-definition camera analyzes the vehicle data of upload compared with the suspected vehicles information in real time, if it find that the suspicion vehicle Occur, immediately by this include find time, suspected vehicles number plate, suspected vehicles body color, suspected vehicles traveling where The distance s of track attribute, the current lights state in the track and the state remaining time, suspected vehicles apart from stop line is related Suspected vehicles information reporting central platform;If not finding the suspected vehicles, intelligent traffic signal machine according to original scheme into Row traffic lights control;
(3) if intelligent traffic signal machine finds suspected vehicles, track belongs to where further being travelled according to suspected vehicles Property, the distance s apart from stop line and the current crossing corresponding lights state of track attribute, determine the connection with crossroads traffic light Dynamic scheme;
(4) intelligent traffic signal machine determination and the lights state that after the linkage scheme of crossroads traffic light, will be adjusted in real time Information, suspected vehicles location information report central platform, wait for the operation of crossroads traffic light a cycle to finish, then judge to dislike It doubts vehicle to sail out of whether the crossing is checked and detained, is sailed out of if it is escape or be still parked in the crossing and wait in line to pass through road Mouthful, continuation is executed since step (1), until the vehicle is successfully placed under arrest, after successfully placing under arrest, central platform cancels the suspicion vehicle It is associated with all intelligent traffic signal machines;
(5) when central platform, which receives intelligent traffic signal machine, sends the suspected vehicles relevant information come up, according to suspicion The distance of vehicle distances stop line, the traveling lane attribute of suspected vehicles (can tentatively judge suspicion vehicle by the attribute information The direction of travel next planned), that the suspected vehicles traveling lane corresponds to the state remaining time of traffic lights, suspected vehicles is attached The distribution situation of nearly police strength is rationally sent police strength and intercept and check and detain, until vehicle is successfully checked and detained.
Further, the linkage scheme of the crossroads traffic light of intelligent traffic signal machine includes:
If a, the current corresponding lights state of track attribute is red light, current red light phase time tr is adjusted For TR, i.e.,:TR=tr+ (nr*t0), wherein:
TR is the red light duration after red light phase adjustment;
Tr is red light phase original remaining time when suspected vehicles are found;
T0 is the maximum that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment Time;
Nr is red time regulation coefficient, value range 0<n≤1;
If b, the corresponding lights state of current lane attribute is green light, current green light phase time tg is adjusted to TG, circular are as follows:
Tv=s/ (m*v0);
If tv>Tg, then TG=tg;
If tg >=tv >=tg-t0, TG=tg- (ng*t0);
If tv<Tg-t0, then TG remain unchanged;
Wherein:
Tv is the suspected vehicles estimated time by crossing;
S is distance of the suspected vehicles apart from stop line;
V0 is that vehicle passes through the reference velocity at crossing, value range v0 under green light phase>0;
M is vehicle in the reference velocity coefficient of green light phase downward driving, value range 0<m≤1;
Tg is green light phase original remaining time when suspected vehicles are found;
TG is the green light duration after green light phase adjustment;
T0 is the maximum that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment Time;
Ng is green time regulation coefficient, value range 0<n≤1;
If c, the corresponding lights state of current lane attribute is amber light, by the amber light next red light phase time Tr0 is adjusted to TR, i.e.,:TR=tr0+ (nr*t0), wherein:
TR is the red light duration after following that red light phase adjustment of amber light;
Tr0 is amber light following that red light phase original duration when suspected vehicles are found;
T0 is the maximum that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment Time;
Nr is red time regulation coefficient, value range 0<n≤1.
A kind of traffic big data suspected vehicles based on vehicle characteristics raid device of deploying to ensure effective monitoring and control of illegal activities, including central platform and front terminal System, it is characterised in that:
The central platform includes:
Central Control Module, for the coordinated signals of modules inside device, when receiving suspected vehicles discovery module When the suspected vehicles sended over find information, alarm module is transmitted this information to, alarm module is allowed to alarm, while from Intelligent traffic signal machine near dynamic association suspected vehicles, extends suspicion in time when intelligent traffic signal machine being allowed to find suspected vehicles The time that vehicle passes through crossing;
Suspected vehicles discovery module, respectively with Central Control Module, vehicle basic database, vehicle blacklist library and vehicle Characteristic information library connects, for related in vehicle basic database, vehicle blacklist library and vehicle characteristic information library by calling Data find suspected vehicles in time, the suspicion that is updated to vehicle blacklist library and vehicle characteristic information library, and will be seen that in time Doubtful vehicle-related information is sent to control centre's module;
Vehicle basic database is used for the basic information of storage of cars, and basic information includes number plate of vehicle, vehicle, vehicle Brand, vehicle system, body color, the affiliated people/institutional affiliation of vehicle;
Vehicle blacklist library needs to raid the suspected vehicles information deployed to ensure effective monitoring and control of illegal activities, includes the vehicle number of suspected vehicles for storing Board, the characteristic information of suspected vehicles, suspected vehicles are deployed to ensure effective monitoring and control of illegal activities reason;
Vehicle characteristic information library, the characteristic information for storing each car, including number plate of vehicle, body color, vehicle, vehicle Brand, vehicle system and headstock characteristics of image;
Alarm module is connect with Central Control Module, and the discovery for suspected vehicles is alarmed, and warning message includes suspicion There is information in the suspected vehicles that vehicle discovery module is found and information occur in the suspected vehicles of front end intelligent traffic signal machine discovery;
Communication module is connect with Central Control Module, and the intelligent transportation for Central Control Module and front end subsystem is believed The real-time communication of number machine;
The front end subsystem includes:
Intelligent traffic signal machine connects more intellectual analysis and identifies high-definition camera, for that will come from Central Control Module Suspected vehicles information with from intellectual analysis identify high-definition camera information of vehicles be compared analysis, when crossing intelligence friendship When messenger machine finds that suspected vehicles occur, crossroads traffic light state is adjusted in time, extends time of the suspected vehicles by crossing, And the relevant information being collected into is reported into Central Control Module;
Intellectual analysis identifies high-definition camera, is installed on all outlet ports track at crossing, for in video coverage All number plate of vehicle be identified, and by the number plate of vehicle information recognized, vehicle traveling lane attribute information and vehicle away from The distance s real-time Transmissions of exit lane stop line are to intelligent traffic signal machine;
Crossroads traffic light is connect with intelligent traffic signal machine, for controlling the logical of crossing left-hand rotation, straight trip and right-turning vehicles Row.
Further, there are two types of available sources for the suspected vehicles information in vehicle blacklist library:
A, known suspected vehicles are manually entered:For needing to raid to deploy to ensure effective monitoring and control of illegal activities and the number-plate number, the specific suspicion of reason of deploying to ensure effective monitoring and control of illegal activities Vehicle directly manually writes vehicle blacklist library;
B, it finds that method calculates by suspected vehicles and confirms typing:Method, the suspicion vehicle of discovery are found by suspected vehicles Number plate and suspected vehicles characteristic information automatically write vehicle blacklist library.
Beneficial effects of the present invention:
1) real suspected vehicles can quickly be found, especially applying mechanically sky family car plate, (the empty family car plate i.e. car plate is Public security organ nullify without actual user and using unit car plate), apply mechanically other vehicle license plates, or even clone's vehicle set Board suspected vehicles, for by the not alarm of the normal vehicle of deck, largely reducing suspected vehicles error-alert degree, It introduces simultaneously and the record data analysis of the vehicles while passing in parking lot is calculated, the general short time is not after entering parking lot using vehicle The characteristics of leaving, carries out suspected vehicles and raids, and rushing towards interception place for people's police has won valuable time, not only increases Intercepting efficiency is raided, and largely avoids the waste of police strength resource.
2) when carrying out vehicle fake-license analysis, in addition to carry out body color, vehicle, vehicle brand, vehicle system comparison other than, also Headstock image feature comparison is introduced, that is, extracts vehicle mark of conformity on the vehicle headstock front windshield currently found, insurance Mark, annual examination mark and the relative position information puted up in front windshield of vehicle of environmental mark, and it is each in normal vehicle Indicate that the relative position information puted up on front windshield is compared, position is puted up according to each mark on clone's fake-licensed car Set be cloned each mark on fake-licensed car put up position be consistent completely probability very little the characteristics of, carry out clone's fake-licensed car and find And it alarms, largely improve the discovery rate of clone's fake-licensed car and places under arrest success rate.
3) it during carrying out suspected vehicles inspection interception, links with intelligent traffic signal machine related system, passes through control The corresponding lights state of suspected vehicles travel direction extends suspected vehicles by the crossing time, while by suspected vehicles on road The information reportings central platforms such as the travel direction of mouth, the distance away from crossing stop line, allow center commanding according to these information And the distribution situation of the neighbouring police strength of suspected vehicles, formulate it is comprehensive, comprehensively check scheme, rationally send police strength and intercept and look into Button, largely improve suspected vehicles places under arrest success rate.
Description of the drawings
Fig. 1 raids flow diagram of deploying to ensure effective monitoring and control of illegal activities for the present invention's;
Fig. 2 is that the suspected vehicles of the present invention compare discovery logical schematic;
Fig. 3 is that the suspected vehicles of the present invention raid the logical schematic of interception process and intelligent traffic signal machine linkage;
Fig. 4 is the traffic lights linkage adjustment logical schematic of the intelligent traffic signal machine of the present invention;
Fig. 5 is the device of the invention structural schematic diagram.
Specific implementation mode
With reference to specific embodiment, invention is further explained, but does not limit the invention to these tools Body embodiment.One skilled in the art would recognize that present invention encompasses may include in Claims scope All alternatives, improvement project and equivalent scheme.
Embodiment one
It present embodiments provides a kind of traffic big data suspected vehicles based on vehicle characteristics and raids supervision method, pass through suspicion It doubts vehicle and finds method, suspected vehicles blacklist and suspected vehicles characteristic information are determined, when the vehicle of number plate identical as suspected vehicles It is suspected vehicles or normal vehicle according to the basic information of suspected vehicles and characteristic information judgement, if it is suspicion when occurring Doubtful vehicle then carries out alarm and raids interception, and carries out coordinated signals extension suspected vehicles with neighbouring intelligent traffic signal machine and pass through road The time of mouth;If it is normal vehicle then without alarm.
Referring to Fig. 1, suspected vehicles find that method is to acquire the vehicles while passing record data in each parking lot in the present embodiment With the bayonet on road cross vehicle record data, specifying information includes number plate of vehicle, disengaging parking lot time, parking lot title and into Going out parking lot vehicle pictures, it's the vehicle time pasts bayonet, bayonet crosses vehicle place and bayonet crosses vehicle picture etc., according to collected data, Vehicle characteristic information extraction is carried out in conjunction with video identification technology, with vehicle basic database, vehicle blacklist library and vehicle characteristics Information bank is compared, and judgement is normal vehicle, suspected vehicles or " possible fake-licensed car ", if it is normal vehicle, then not into Row alarm, if it is suspected vehicles, then alarms, and by suspected vehicles number plate and analyzes the suspected vehicles characteristic come Vehicle blacklist library is written, next time finds that the suspected vehicles are alarmed immediately again, if it is " possible fake-licensed car ", then by people Work carries out audit judgement, is determined as deck suspected vehicles by manual examination and verification, then will should " possible fake-licensed car " number plate of vehicle and The suspected vehicles characteristic write-in vehicle blacklist library come is analyzed, finds that the suspected vehicles are reported immediately again next time It is alert.
Wherein:
Based on being that video identification technology carries out vehicle characteristic information extraction, the vehicle characteristic information of extraction is in addition to vehicle body face Color, vehicle, vehicle brand (i.e. vehicle trade mark), vehicle system (i.e. series of vehicles model, such as public Magotan, golf, Bora etc.), Further include headstock characteristics of image, essential record vehicle mark of conformity, insurance mark, annual examination mark and environmental protection in headstock characteristics of image Indicate the relative position information puted up in front windshield of vehicle.
Vehicle basic database gets the basis of each car by carrying out data sharing with vehicle management Suo Deng mechanisms Information includes mainly the information such as number plate of vehicle, vehicle, vehicle brand, vehicle system, body color, the affiliated people/institutional affiliation of vehicle.
Vehicle blacklist library is mainly used for storage and needs to raid the suspected vehicles information deployed to ensure effective monitoring and control of illegal activities, and main includes suspected vehicles Number plate of vehicle, suspected vehicles characteristic information (including body color, vehicle, vehicle brand, vehicle system and headstock characteristics of image etc.), Suspected vehicles are deployed to ensure effective monitoring and control of illegal activities reason (escape vehicle, fake-licensed car, robber rob vehicle, non-annual test etc.), there is suspected vehicles information in vehicle blacklist library Two kinds of available sources:
I. known suspected vehicles are manually entered:For needing to raid to deploy to ensure effective monitoring and control of illegal activities and the number-plate number, the specific suspicion of reason of deploying to ensure effective monitoring and control of illegal activities Vehicle directly manually writes vehicle blacklist library, such as escape vehicle, robber rob vehicle etc.;
II. it finds that method calculates by suspected vehicles and confirms typing:Method, the suspicion vehicle of discovery are found by suspected vehicles Number plate and suspected vehicles characteristic information automatically write vehicle blacklist library, including the suspected vehicles that judge automatically and by artificial Audit the suspected vehicles of judgement.
Vehicle characteristic information library be mainly used for store each car characteristic information, mainly include number plate of vehicle, body color, Vehicle (large-scale, medium-sized, small-sized etc.), vehicle brand (such as BMW, benz, masses etc.), vehicle system (such as public Magotan, Gao Er Husband, Bora etc.) and headstock characteristics of image, a number plate of vehicle supports to be associated with multiple headstock characteristics of image, i.e., knows when by video Other technology detects when the headstock characteristics of image of current vehicle is inconsistent with headstock characteristics of image in vehicle characteristic information library (i.e. Vehicle mark of conformity in current vehicle headstock, insurance mark, annual examination mark and environmental mark put up position and vehicle characteristics library In the various marks of number plate vehicle to put up position inconsistent), then it is the headstock characteristics of image currently recognized deposit vehicle is special Information bank is levied, it is associated with the number plate of vehicle, and the vehicle is defined as " possible fake-licensed car ", it is determined whether by manual examination and verification Deck suspected vehicles.
Referring to Fig. 2, in the present embodiment suspected vehicles discovery method, with vehicle basic database, vehicle blacklist library and vehicle Characteristic information library is compared, and judgement is normal vehicle or suspected vehicles, go forward side by side driving blacklist library and vehicle characteristics The specific processing method of information base data updating maintenance is as follows:
1) information that acquisition is extracted is compared with vehicle basic database, if information comparison is consistent, directly ties The comparison of beam and vehicle basic database operates, if information comparison is inconsistent, vehicle, vehicle brand, vehicle system, body color are appointed What the one inconsistent or affiliated people/institutional affiliation of vehicle is sky, then judges the vehicle for suspected vehicles, by the vehicle of the suspected vehicles Number plate and characteristic information are retrieved in vehicle blacklist library, if had existed in vehicle blacklist library, directly Carry out suspected vehicles alarm, raid interception, if be not present in vehicle blacklist library, by the number plate of vehicle of the suspected vehicles and Vehicle blacklist library is written in characteristic information, and it is deck to indicate reason of deploying to ensure effective monitoring and control of illegal activities, and then carries out suspected vehicles alarm, raids interception.
2) information that acquisition is extracted is compared with vehicle blacklist library, if not finding this in vehicle blacklist library Number plate of vehicle, then judge the vehicle for normal vehicle, without alarm, if finding the number plate of vehicle in vehicle blacklist library, It is then further compared with the suspected vehicles characteristic information in blacklist library, if information comparison is inconsistent, is determined as just Normal vehicle, if information comparison is consistent, judges the vehicle for suspected vehicles, carries out suspected vehicles alarm, raid without alarm It intercepts.
3) information that acquisition is extracted is compared with vehicle characteristic information library, if the number plate of vehicle is believed in vehicle characteristics Breath is not present in library, then by the number plate of vehicle and vehicle characteristic information write-in vehicle characteristic information library, if believed in vehicle characteristics Breath has existed in library, is compared with the vehicle characteristic information in vehicle characteristic information library, if vehicle characteristic information compares Unanimously, then the vehicle is judged for normal vehicle, and without alarm, if vehicle characteristic information comparison is inconsistent, preliminary judgement is " possible fake-licensed car ", by manually being audited, if manual examination and verification are determined as deck suspected vehicles, by the license plate number of the vehicle Code and vehicle characteristic information write-in vehicle blacklist library, reason of deploying to ensure effective monitoring and control of illegal activities are labeled as deck, if manual examination and verification judgement is not deck Suspected vehicles, then by the number plate of vehicle and vehicle characteristic information write-in vehicle characteristic information library.
Referring to Fig. 3, the present embodiment if it find that be that suspected vehicles then carry out alarm and raid interceptions, and with neighbouring intelligence friendship Messenger machine carries out coordinated signals and extends time of the suspected vehicles by crossing, and the specific method is as follows:
(1) when finding suspected vehicles, auto-associating suspected vehicles nearby (near being within the scope of 1000 meters, also may be used With self-defined distance range) intelligent traffic signal machine, by the information such as the number plate of vehicle, body color, vehicle of suspected vehicles from It is dynamic to be sent to associated intelligent traffic signal machine;
(2) after intelligent traffic signal machine receives the information of suspected vehicles, by the intelligence being connected with itself received point Analysis identification high-definition camera analyzes the vehicle data of upload compared with the suspected vehicles information in real time, if it find that the suspicion vehicle Occur, immediately by the information reporting central platform, including the time of discovery, suspected vehicles number plate, suspected vehicles body color, Track attribute, the current lights state in the track and the state remaining time, suspected vehicles distance stop where suspected vehicles traveling The only information such as distance s of line;If not finding the suspected vehicles, intelligent traffic signal machine carries out traffic lights according to original scheme Control.
(3) if intelligent traffic signal machine finds suspected vehicles, track belongs to where further being travelled according to suspected vehicles Property, the distance s apart from stop line and the current crossing corresponding lights state of track attribute, determine the connection with crossroads traffic light Dynamic scheme, referring to Fig. 4, linkage scheme includes:
If a, the current corresponding lights state of track attribute is red light, current red light phase time tr is adjusted For TR, i.e.,:TR=tr+ (nr*t0), wherein:
TR is the red light duration after red light phase adjustment;
Tr is red light phase original remaining time when suspected vehicles are found;
T0 is the maximum that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment Time;
Nr is red time regulation coefficient, value range 0<n≤1.
If b, the corresponding lights state of current lane attribute is green light, current green light phase time tg is adjusted to TG, circular are as follows:
Tv=s/ (m*v0);
If tv>Tg, then TG=tg;
If tg >=tv >=tg-t0, TG=tg- (ng*t0);
If tv<Tg-t0, then TG remain unchanged.
Wherein:
Tv is the suspected vehicles estimated time by crossing;
S is distance of the suspected vehicles apart from stop line;
V0 is that vehicle passes through the reference velocity at crossing, value range v0 under green light phase>0;
M is vehicle in the reference velocity coefficient of green light phase downward driving, value range 0<m≤1;
Tg is green light phase original remaining time when suspected vehicles are found;
TG is the green light duration after green light phase adjustment;
T0 is the maximum that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment Time;
Ng is green time regulation coefficient, value range 0<n≤1;
If c, the corresponding lights state of current lane attribute is amber light, by the amber light next red light phase time Tr0 is adjusted to TR, i.e.,:TR=tr0+ (nr*t0), wherein:
TR is the red light duration after following that red light phase adjustment of amber light;
Tr0 is amber light following that red light phase original duration when suspected vehicles are found;
T0 is the maximum that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment Time;
Nr is red time regulation coefficient, value range 0<n≤1.
(4) intelligent traffic signal machine determination and the lights state that after the linkage scheme of crossroads traffic light, will be adjusted in real time Information, suspected vehicles location information report central platform, wait for the operation of crossroads traffic light a cycle to finish, then judge to dislike It doubts vehicle to sail out of whether the crossing is checked and detained, is sailed out of if it is escape or be still parked in the crossing and wait in line to pass through road Mouthful, continuation is executed since step 1), until the vehicle is successfully placed under arrest, after successfully placing under arrest, central platform cancels the suspicion vehicle It is associated with all intelligent traffic signal machines.
(5) when central platform, which receives intelligent traffic signal machine, sends the suspected vehicles relevant information come up, according to suspicion The distance of vehicle distances stop line, the traveling lane attribute of suspected vehicles (can tentatively judge suspicion vehicle by the attribute information The direction of travel next planned), that the suspected vehicles traveling lane corresponds to the state remaining time of traffic lights, suspected vehicles is attached The distribution situation of nearly police strength is rationally sent police strength and intercept and check and detain, until vehicle is successfully checked and detained.
The present invention can quickly have found real suspected vehicles, especially apply mechanically sky family car plate (empty family car plate i.e. car plate Public security organ nullify without actual user and using unit car plate), apply mechanically other vehicle license plates, or even clone's vehicle Deck suspected vehicles, for by the normal vehicle of deck not alarm, largely reduce suspected vehicles false alarm Number, while introducing and calculating the record data analysis of the vehicles while passing in parking lot is entered general short behind parking lot using vehicle The characteristics of time will not be left carries out suspected vehicles and raids, and rushing towards interception place for people's police has won valuable time, not only It improves and raids intercepting efficiency, and largely avoid the waste of police strength resource.
In the present invention when carrying out vehicle fake-license analysis, in addition to carry out body color, vehicle, vehicle brand, vehicle system ratio Externally, headstock image feature comparison is also introduced, that is, extracts vehicle qualification mark on the vehicle headstock front windshield currently found The relative position information that will, insurance mark, annual examination mark and environmental mark are puted up in front windshield of vehicle, with normal vehicle The relative position information that upper each mark is puted up on front windshield is compared, according to each mark on clone's fake-licensed car Put up position be cloned each mark on fake-licensed car put up position be consistent completely probability very little the characteristics of, carry out clone's deck Vehicle finds and alarms, and largely improves the discovery rate of clone's fake-licensed car and places under arrest success rate.
The present invention links with intelligent traffic signal machine related system, passes through during carrying out suspected vehicles inspection interception The corresponding lights state of suspected vehicles travel direction is controlled, extends suspected vehicles by the crossing time, while by suspected vehicles In information reportings central platforms such as the travel direction at crossing, distances away from crossing stop line, allow center commanding according to these The distribution situation of police strength near information and suspected vehicles formulates synthesis, comprehensively checks scheme, rationally sends police strength and intercepted It checks and detains, largely improve suspected vehicles places under arrest success rate.
Embodiment two
Referring to Fig. 5, present embodiments provides and a kind of a kind of traffic based on vehicle characteristics described in embodiment one may be implemented A kind of traffic big data suspected vehicles based on vehicle characteristics that big data suspected vehicles raid supervision method raid device of deploying to ensure effective monitoring and control of illegal activities, Include mainly central platform and front end subsystem, central platform is connected with front terminal system communication, and wherein central platform mainly wraps Include Central Control Module, suspected vehicles discovery module, alarm module, communication module, vehicle basic database, vehicle blacklist library With vehicle characteristic information library, Central Control Module is connect with suspected vehicles discovery module, alarm module, communication module respectively, is disliked Vehicle discovery module is doubted to connect with vehicle basic database, vehicle blacklist library and vehicle characteristic information library;Front end subsystem master To include intelligent traffic signal machine, intellectual analysis identification high-definition camera and crossroads traffic light, intelligent traffic signal machine respectively with Crossroads traffic light, more intellectual analysis identification high-definition camera connections.
The present embodiment Central Control Module is mainly used for the coordinated signals of modules inside device, when receiving suspicion When suspected vehicles that vehicle discovery module sends over find information, transmit this information to alarm module, allow alarm module into Row alarm, while the intelligent traffic signal machine near auto-associating suspected vehicles, allow intelligent traffic signal machine to find suspected vehicles When extend time of the suspected vehicles by crossing in time, for police strength rush towards crossing carry out inspection intercept strive for valuable time;
Suspected vehicles discovery module, inside implant suspected vehicles and find method, the suspicion described in reference implementation example one Vehicle finds method, by related data in calling vehicle basic database, vehicle blacklist library and vehicle characteristic information library, and The suspected vehicles that Shi Faxian suspected vehicles are updated vehicle blacklist library and vehicle characteristic information library, and will be seen that in time Relevant information is sent to control centre's module;
Alarm module, is mainly used for the discovery alarm of suspected vehicles, and warning message includes suspected vehicles discovery module hair There is information in existing suspected vehicles and information occur in the suspected vehicles of front end intelligent traffic signal machine discovery;
Communication module is mainly used for the real-time communication of Central Control Module and front end intelligent traffic signal machine;
Vehicle basic database is mainly used for the basic information of storage of cars.By being carried out with vehicle management Suo Deng mechanisms Data sharing gets the basic information of each car, mainly include number plate of vehicle, vehicle, vehicle brand, vehicle system, body color, The information such as the affiliated people/institutional affiliation of vehicle;
Vehicle blacklist library is mainly used for storage and needs to raid the suspected vehicles information deployed to ensure effective monitoring and control of illegal activities, includes mainly suspected vehicles Number plate of vehicle, suspected vehicles characteristic information (including body color, vehicle, vehicle brand, vehicle system and headstock characteristics of image Deng), suspected vehicles deploy to ensure effective monitoring and control of illegal activities reason (escape vehicle, fake-licensed car, robber rob vehicle, non-annual test etc.);
Vehicle characteristic information library is mainly used for storing the characteristic information of each car, includes mainly number plate of vehicle, vehicle body face Color, vehicle (large-scale, medium-sized, small-sized etc.), vehicle brand (such as BMW, benz, masses etc.), vehicle system (such as public Magotan, height Er Fu, Bora etc.) and headstock characteristics of image;
Intelligent traffic signal machine connects more intellectual analysis and identifies high-definition camera, and center will be come from by, which being mainly used for, controls The suspected vehicles information of module identifies that the information of vehicles of high-definition camera is compared analysis with from intellectual analysis, when crossing intelligence When energy traffic signaling equipment finds that suspected vehicles occur, crossroads traffic light state is adjusted in time, is extended suspected vehicles and is passed through crossing Time, specific interlock method reference implementation example one, and the relevant information being collected into is reported into Central Control Module;
Intellectual analysis identifies high-definition camera, is installed on all outlet ports track at crossing, and camera shooting coverage area is outlet vehicle 200 meters within road stop line, number plate of vehicle that all number plate of vehicle in video coverage are identified, and will recognized Information, vehicle traveling lane attribute information (turn left, keep straight on or turn right) and vehicle are away from exit lane stop line (below to " outlet Track stop line " is together simply referred to as " stop line ") distance s real-time Transmissions to intelligent traffic signal machine;
Crossroads traffic light is mainly used for controlling the passage of crossing left-hand rotation, straight trip and right-turning vehicles.
The present invention can quickly have found real suspected vehicles, especially apply mechanically sky family car plate (empty family car plate i.e. car plate Public security organ nullify without actual user and using unit car plate), apply mechanically other vehicle license plates, or even clone's vehicle Deck suspected vehicles, for by the normal vehicle of deck not alarm, largely reduce suspected vehicles false alarm Number, while introducing and calculating the record data analysis of the vehicles while passing in parking lot is entered general short behind parking lot using vehicle The characteristics of time will not be left carries out suspected vehicles and raids, and rushing towards interception place for people's police has won valuable time, not only It improves and raids intercepting efficiency, and largely avoid the waste of police strength resource.
In the present invention when carrying out vehicle fake-license analysis, in addition to carry out body color, vehicle, vehicle brand, vehicle system ratio Externally, headstock image feature comparison is also introduced, that is, extracts vehicle qualification mark on the vehicle headstock front windshield currently found The relative position information that will, insurance mark, annual examination mark and environmental mark are puted up in front windshield of vehicle, with normal vehicle The relative position information that upper each mark is puted up on front windshield is compared, according to each mark on clone's fake-licensed car Put up position be cloned each mark on fake-licensed car put up position be consistent completely probability very little the characteristics of, carry out clone's deck Vehicle finds and alarms, and largely improves the discovery rate of clone's fake-licensed car and places under arrest success rate.
The present invention links with intelligent traffic signal machine related system, passes through during carrying out suspected vehicles inspection interception The corresponding lights state of suspected vehicles travel direction is controlled, extends suspected vehicles by the crossing time, while by suspected vehicles In information reportings central platforms such as the travel direction at crossing, distances away from crossing stop line, allow center commanding according to these The distribution situation of police strength near information and suspected vehicles formulates synthesis, comprehensively checks scheme, rationally sends police strength and intercepted It checks and detains, largely improve suspected vehicles places under arrest success rate.

Claims (10)

1. a kind of traffic big data suspected vehicles raid supervision method, it is characterised in that:Including:
Method is found by suspected vehicles, determines whether the vehicle of acquisition is suspected vehicles, if it is decided that is suspected vehicles, then more New suspected vehicles blacklist and suspected vehicles characteristic information;
When the vehicle of number plate identical as suspected vehicles occurs, acquired according to the basic information of suspected vehicles and characteristic information judgement Vehicle be suspected vehicles or normal vehicle, alarm is then carried out if it is suspected vehicles and raids interception, and it is attached with suspected vehicles Nearly intelligent traffic signal machine carries out coordinated signals and extends time of the suspected vehicles by crossing;If it is normal vehicle then without Alarm.
2. a kind of traffic big data suspected vehicles according to claim 1 raid supervision method, it is characterised in that:Suspicion vehicle Discovery method includes:
It acquires the bayonet in the vehicles while passing record data and road in each parking lot and crosses vehicle record data;
According to collected data, vehicle characteristic information extraction is carried out in conjunction with video identification technology;
The vehicle characteristic information of extraction and vehicle basic database, vehicle blacklist library and vehicle characteristic information library are compared Right, judgement is that normal vehicle, suspected vehicles or " possible fake-licensed car " then need further people if it is " possible fake-licensed car " Work audit judgement is normal vehicle or suspected vehicles;
If it is determined that being normal vehicle, then without alarm, if it is decided that be suspected vehicles, then alarm, and by suspicion vehicle Number plate and the suspected vehicles characteristic write-in vehicle blacklist library come is analyzed, finds the suspected vehicles again immediately next time It alarms.
3. a kind of traffic big data suspected vehicles according to claim 2 raid supervision method, it is characterised in that:It is described to carry The vehicle characteristic information taken includes body color, vehicle, vehicle brand, vehicle system and headstock characteristics of image, the headstock image Feature include vehicle mark of conformity, insurance mark, annual examination mark and environmental mark puted up in front windshield of vehicle it is opposite Location information.
4. a kind of traffic big data suspected vehicles according to claim 2 raid supervision method, it is characterised in that:It is described to carry When the vehicle characteristic information taken is compared with vehicle basic database, if information comparison is consistent, directly terminate and vehicle basis The comparison of information bank operates, if information comparison is inconsistent, vehicle, vehicle brand, vehicle system, body color any one are inconsistent Or the affiliated people/institutional affiliation of vehicle is sky, then judges the vehicle for suspected vehicles, by the number plate of vehicle and feature of the suspected vehicles Information is retrieved in vehicle blacklist library, if had existed in vehicle blacklist library, directly carries out suspected vehicles Alarm, raids interception, if be not present in vehicle blacklist library, the number plate of vehicle of the suspected vehicles and characteristic information are written Vehicle blacklist library, and it is deck to indicate reason of deploying to ensure effective monitoring and control of illegal activities, and then carries out suspected vehicles alarm, raids interception.
5. a kind of traffic big data suspected vehicles according to claim 2 raid supervision method, it is characterised in that:It is described to carry The vehicle characteristic information taken is compared with vehicle blacklist library, if not finding the number plate of vehicle in vehicle blacklist library, Then judge the vehicle for normal vehicle, without alarm, if finding the number plate of vehicle in vehicle blacklist library, further with Suspected vehicles characteristic information in blacklist library is compared, if information comparison is inconsistent, is determined as normal vehicle, not into Row alarm judges the vehicle for suspected vehicles, carries out suspected vehicles alarm, raid interception if information comparison is consistent.
6. a kind of traffic big data suspected vehicles according to claim 2 raid supervision method, it is characterised in that:It is described to carry The vehicle characteristic information taken is compared with vehicle characteristic information library, if the number plate of vehicle is not deposited in vehicle characteristic information library Then by the number plate of vehicle and vehicle characteristic information write-in vehicle characteristic information library, if in vehicle characteristic information library In the presence of being compared with the vehicle characteristic information in vehicle characteristic information library, if vehicle characteristic information compares consistent, judge The vehicle is normal vehicle, and without alarm, if vehicle characteristic information comparison is inconsistent, preliminary judgement is " possible deck Vehicle ", by manually being audited, if manual examination and verification are determined as deck suspected vehicles, by the number-plate number and vehicle of the vehicle Vehicle blacklist library is written in characteristic information, and reason of deploying to ensure effective monitoring and control of illegal activities is labeled as deck, if manual examination and verification judgement is not deck suspected vehicles, Then by the number plate of vehicle and vehicle characteristic information write-in vehicle characteristic information library.
7. a kind of traffic big data suspected vehicles according to one of claim 1~6 raid supervision method, feature exists In:If it find that be that suspected vehicles then carry out alarm and raid interceptions, and with neighbouring intelligent traffic signal machine progress coordinated signals Extend time of the suspected vehicles by crossing, is as follows:
(1) when finding suspected vehicles, the intelligent traffic signal machine near auto-associating suspected vehicles, by the vehicle of suspected vehicles The information such as number plate, body color, vehicle are automatically transmitted to associated intelligent traffic signal machine;
(2) after intelligent traffic signal machine receives the information of suspected vehicles, the intellectual analysis being connected with itself that will be received is known Other high-definition camera analyzes the vehicle data of upload compared with the suspected vehicles information in real time, if it find that the suspected vehicles go out It is existing, include immediately track where the time found, suspected vehicles number plate, suspected vehicles body color, suspected vehicles traveling by this The related suspicion of attribute, the current lights state in the track and the distance of state remaining time, suspected vehicles apart from stop line Information of vehicles reports central platform;If not finding the suspected vehicles, intelligent traffic signal machine carries out red according to original scheme Green light controls;
(3) if intelligent traffic signal machine finds suspected vehicles, track attribute where further being travelled according to suspected vehicles, away from With a distance from stop line and the corresponding lights state of track attribute of current crossing, the linkage side with crossroads traffic light is determined Case;
(4) intelligent traffic signal machine determine with after the linkage scheme of crossroads traffic light, by the traffic light status information adjusted in real time, The location information of suspected vehicles reports central platform, waits for the operation of crossroads traffic light a cycle to finish, then judges suspicion vehicle It is sailed out of whether the crossing is checked and detained, is sailed out of if it is escape or be still parked in the crossing and waited in line through crossing, after It is continuous to be executed since step (1), until the vehicle is successfully placed under arrest, after successfully placing under arrest, central platform cancel the suspected vehicles with The association of all intelligent traffic signal machines;
(5) when central platform, which receives intelligent traffic signal machine, sends the suspected vehicles relevant information come up, according to suspected vehicles The state that the traveling lane attribute of distance, suspected vehicles apart from stop line, the suspected vehicles traveling lane correspond to traffic lights is surplus The distribution situation of the neighbouring police strength of remaining time, suspected vehicles is rationally sent police strength and intercept and check and detain, until vehicle successfully looked into Button.
8. a kind of traffic big data suspected vehicles according to claim 7 raid supervision method, it is characterised in that:Intelligence is handed over The linkage scheme of the crossroads traffic light of messenger machine includes:
If a, the current corresponding lights state of track attribute is red light, current red light phase time tr is adjusted to TR, i.e.,:TR=tr+ (nr*t0), wherein:
TR is the red light duration after red light phase adjustment;
Tr is red light phase original remaining time when suspected vehicles are found;
T0 is the maximum time that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment;
Nr is red time regulation coefficient, value range 0<n≤1;
If b, the corresponding lights state of current lane attribute is green light, current green light phase time tg is adjusted to TG, Circular is as follows:
Tv=s/ (m*v0);
If tv>Tg, then TG=tg;
If tg >=tv >=tg-t0, TG=tg- (ng*t0);
If tv<Tg-t0, then TG remain unchanged;
Wherein:
Tv is the suspected vehicles estimated time by crossing;
S is distance of the suspected vehicles apart from stop line;
V0 is that vehicle passes through the reference velocity at crossing, value range v0 under green light phase>0;
M is vehicle in the reference velocity coefficient of green light phase downward driving, value range 0<m≤1;
Tg is green light phase original remaining time when suspected vehicles are found;
TG is the green light duration after green light phase adjustment;
T0 is the maximum time that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment;
Ng is green time regulation coefficient, value range 0<n≤1;
If c, the corresponding lights state of current lane attribute is amber light, by the next red light phase time tr0 of amber light It is adjusted to TR, i.e.,:TR=tr0+ (nr*t0), wherein:
TR is the red light duration after following that red light phase adjustment of amber light;
Tr0 is amber light following that red light phase original duration when suspected vehicles are found;
T0 is the maximum time that intelligent traffic signal machine single traffic lights phase under current traffic lights controlling cycle allows adjustment;
Nr is red time regulation coefficient, value range 0<n≤1.
9. a kind of traffic big data suspected vehicles raid device of deploying to ensure effective monitoring and control of illegal activities, including central platform and front end subsystem, it is characterised in that:
The central platform includes:
Central Control Module is sent for the coordinated signals of modules inside device when receiving suspected vehicles discovery module When the suspected vehicles to come over find information, alarm module is transmitted this information to, alarm module is allowed to alarm, while automatic pass Join the intelligent traffic signal machine near suspected vehicles, extends suspected vehicles in time when intelligent traffic signal machine being allowed to find suspected vehicles Pass through the time at crossing;
Suspected vehicles discovery module, respectively with Central Control Module, vehicle basic database, vehicle blacklist library and vehicle characteristics Information bank connects, and is used for through related data in calling vehicle basic database, vehicle blacklist library and vehicle characteristic information library, Suspected vehicles, the suspicion vehicle that is updated to vehicle blacklist library and vehicle characteristic information library, and will be seen that in time are found in time Relevant information is sent to control centre's module;
Vehicle basic database, be used for storage of cars basic information, basic information include number plate of vehicle, vehicle, vehicle brand, Vehicle system, body color, the affiliated people/institutional affiliation of vehicle;
Vehicle blacklist library needs to raid the suspected vehicles information deployed to ensure effective monitoring and control of illegal activities for storing, including the number plate of vehicle of suspected vehicles, suspicion Characteristic information, the suspected vehicles for doubting vehicle are deployed to ensure effective monitoring and control of illegal activities reason;
Vehicle characteristic information library, the characteristic information for storing each car, including number plate of vehicle, body color, vehicle, vehicle product Board, vehicle system and headstock characteristics of image;
Alarm module is connect with Central Control Module, and the discovery for suspected vehicles is alarmed, and warning message includes suspected vehicles There is information in the suspected vehicles that discovery module is found and information occur in the suspected vehicles of front end intelligent traffic signal machine discovery;
Communication module is connect with Central Control Module, is used for the intelligent traffic signal machine of Central Control Module and front end subsystem Real-time communication;
The front end subsystem includes:
Intelligent traffic signal machine connects more intellectual analysis and identifies high-definition camera, and being used for will be from the suspicion of Central Control Module It doubts information of vehicles and identifies that the information of vehicles of high-definition camera is compared analysis with from intellectual analysis, when road junction intelligent traffic is believed When number machine finds that suspected vehicles occur, crossroads traffic light state is adjusted in time, extends time of the suspected vehicles by crossing, and will The relevant information being collected into reports Central Control Module;
Intellectual analysis identifies high-definition camera, is installed on all outlet ports track at crossing, for the institute in video coverage There is number plate of vehicle to be identified, and by the number plate of vehicle information recognized, vehicle traveling lane attribute information and vehicle away from outlet The distance s real-time Transmissions of track stop line are to intelligent traffic signal machine;
Crossroads traffic light is connect with intelligent traffic signal machine, for controlling crossing left-hand rotation, straight trip and the passage of right-turning vehicles.
10. a kind of traffic big data suspected vehicles according to claim 9 raid device of deploying to ensure effective monitoring and control of illegal activities, it is characterised in that:It is described There are two types of available sources for suspected vehicles information in vehicle blacklist library:
A, known suspected vehicles are manually entered:For needing to raid to deploy to ensure effective monitoring and control of illegal activities and the number-plate number, the specific suspected vehicles of reason of deploying to ensure effective monitoring and control of illegal activities, Directly manually write vehicle blacklist library;
B, it finds that method calculates by suspected vehicles and confirms typing:Method, the suspected vehicles number of discovery are found by suspected vehicles Board and suspected vehicles characteristic information automatically write vehicle blacklist library.
CN201810599285.3A 2018-06-12 2018-06-12 A kind of traffic big data suspected vehicles raid supervision method and device Pending CN108765952A (en)

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Application publication date: 20181106