CN108460970A - The recognition methods of road vehicle traffic behavior and system - Google Patents

The recognition methods of road vehicle traffic behavior and system Download PDF

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Publication number
CN108460970A
CN108460970A CN201710810021.3A CN201710810021A CN108460970A CN 108460970 A CN108460970 A CN 108460970A CN 201710810021 A CN201710810021 A CN 201710810021A CN 108460970 A CN108460970 A CN 108460970A
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vehicle
abnormal behaviour
road
threshold
time
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陈昊
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JIANGSU BELLON Technology CORP
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JIANGSU BELLON Technology CORP
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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
    • G08G1/017Detecting movement of traffic to be counted or controlled identifying vehicles

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  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)

Abstract

A kind of road vehicle traffic behavior recognition methods of present invention offer and system, including following steps:The identity for obtaining vehicle within the scope of corresponding road Identification records the entry time that corresponding identity vehicle enters the identification range;First threshold is set, judges whether residence time of the corresponding identity vehicle in identification range is more than the first threshold;It is abnormal behaviour vehicle to the marking of cars that residence time is more than the first threshold.The present invention can improve the efficiency of identification road vehicle traffic behavior, and support is provided for road data analysis.

Description

The recognition methods of road vehicle traffic behavior and system
Technical field
The present invention relates to technical field of intelligent traffic more particularly to a kind of road vehicle traffic behavior recognition methods and it is System.
Background technology
With the rapid growth of vehicle, in traffic route management, become the master of the most important thing to effective management of vehicle Want task.However in road vehicle management, be related to the congestion of vehicle, traffic accident, disobey the abnormal behaviours such as stop caused by urban issues Cannot usually efficiently solve, after all the reason of be a lack of quick response, the mechanism of timely processing.Although present road On can be equipped with and hand over the monitoring devices such as all-purpose camera, but the acquisition of all-purpose camera is handed over to be limited by the influence of environment, especially Sleety weather etc. cause it is ineffective, while to the parser of image information complexity, wanting for multifunctional management can not be met It asks.Thus, it is found that abnormal behaviour of the vehicle on road is usually all the field management either relative group by security personnel Many information provides to obtain, it is clear that and it is less efficient and unreliable, it tends not to achieve the purpose that find processing in time, just less With saying data support is provided for the entire road conditions analysis in backstage.
Invention content
The purpose of the present invention is to provide a kind of road vehicle traffic behavior recognition methods and systems, solve the prior art In in road management vehicular traffic behavior cannot accurately identify, can only rely on inefficiency manual type the technical issues of.
In order to solve the above-mentioned technical problem, a kind of road vehicle traffic behavior recognition methods of the invention, including walk as follows Suddenly:
The identity for obtaining vehicle within the scope of corresponding road Identification, when recording admission of the corresponding identity vehicle into the identification range Between;
First threshold is set, judges whether residence time of the corresponding identity vehicle in identification range is more than the first threshold;
It is abnormal behaviour vehicle to the marking of cars that residence time is more than the first threshold.
As being further improved for above-mentioned road vehicle traffic behavior recognition methods of the invention, the identity of the vehicle passes through Radio-frequency identification reader/writer reads the radio frequency recognizing electronic label installed on vehicle and obtains and to read corresponding vehicle identification for the first time Time as entry time.
As being further improved for above-mentioned road vehicle traffic behavior recognition methods of the invention, second threshold is set, right It answers in road, the quantity still in the abnormal behaviour vehicle in the identification range is calculated, in the number of the abnormal behaviour vehicle When amount is more than the second threshold, determine that corresponding road is in congestion status.
As being further improved for above-mentioned road vehicle traffic behavior recognition methods of the invention, according to all abnormal behaviour vehicles Average residence time determine the jam level of road.
As being further improved for above-mentioned road vehicle traffic behavior recognition methods of the invention, third threshold value is set, same Have in one entry time and when only admission marking of cars is abnormal behaviour vehicle, and the abnormal behaviour vehicle is resident Time is more than the third threshold value, determines that the abnormal behaviour vehicle is to disobey parking.
As being further improved for above-mentioned road vehicle traffic behavior recognition methods of the invention, third threshold value is set, same When the marking of cars that there is at least two admissions in one entry time is abnormal behaviour vehicle, and the abnormal behaviour vehicle is stayed It stays the time while being more than third threshold value, determine and traffic accident has occurred between the abnormal behaviour vehicle.
As being further improved for above-mentioned road vehicle traffic behavior recognition methods of the invention, the 4th threshold value is set, it is described In abnormal behaviour vehicle admission to the third threshold range, the appearance vehicle in track where calculating the abnormal behaviour vehicle Number is less than the 4th threshold value in the appearance vehicle number and place track still has the marking of cars of new admission for abnormal behaviour vehicle When, redefine the abnormal behaviour vehicle and be in congestion status.
In order to solve the above-mentioned technical problem, a kind of road vehicle traffic behavior identifying system of the invention, including:
Acquiring unit, the identity for obtaining vehicle within the scope of corresponding road Identification record corresponding identity vehicle and enter the knowledge The entry time of other range;
Judging unit, for first threshold to be arranged, judge residence time of the corresponding identity vehicle in identification range whether be more than The first threshold;
Marking unit, the marking of cars for residence time being more than the first threshold are abnormal behaviour vehicle.
As being further improved for above-mentioned road vehicle traffic behavior identifying system of the invention, the marking unit is also set up Second threshold calculates the quantity still in the abnormal behaviour vehicle in the identification range, in the exception in corresponding road When the quantity of behavior vehicle is more than the second threshold, determine that corresponding road is in congestion status.
As being further improved for above-mentioned road vehicle traffic behavior identifying system of the invention, the marking unit is also set up Third threshold value, has within same entry time and when only admission marking of cars is abnormal behaviour vehicle, and the exception The residence time of behavior vehicle is more than the third threshold value, determines that the abnormal behaviour vehicle is to disobey parking.
As being further improved for above-mentioned road vehicle traffic behavior identifying system of the invention, the marking unit is also set up Third threshold value, when the marking of cars that there is at least two admissions within same entry time is abnormal behaviour vehicle, and it is described different The residence times of Chang Hangwei vehicles is more than simultaneously third threshold value, determines and traffic accident has occurred between the abnormal behaviour vehicle.
Compared with prior art, the present invention analyzes different identity by the way that the vehicle identification in identification range is identified The entry time of vehicle and residence time, by judging whether corresponding identity vehicle is more than the threshold range of setting to determine whether For abnormal behaviour vehicle.The present invention can improve the efficiency of identification road vehicle traffic behavior, and branch is provided for road data analysis It holds.
After the detailed description of embodiment of the present invention is read in conjunction with the figure, the other features and advantages of the invention will become more Add clear.
Description of the drawings
It, below will be to embodiment or existing in order to illustrate more clearly of embodiment of the present invention or the technical solution of the prior art Attached drawing is briefly described needed in technology description, it is therefore apparent that the accompanying drawings in the following description is only the present invention Described in some embodiments, for those of ordinary skill in the art, without creative efforts, also It can be obtain other attached drawings according to these attached drawings.
Fig. 1 is road vehicle traffic behavior recognition methods flow chart in an embodiment of the present invention.
Fig. 2 is vehicle residence time distribution schematic diagram in an embodiment of the present invention.
Fig. 3 is vehicle residence time distribution schematic diagram in an embodiment of the present invention.
Fig. 4 is vehicle residence time distribution schematic diagram in an embodiment of the present invention.
Fig. 5 is vehicle residence time distribution schematic diagram in an embodiment of the present invention.
Fig. 6 is road vehicle traffic behavior identifying system schematic diagram in an embodiment of the present invention.
Specific implementation mode
Hereinafter, the present invention will be described in detail with reference to various embodiments shown in the accompanying drawings.But these embodiments are not The limitation present invention, structure that those skilled in the art are made according to these embodiments, method or change functionally It changes and is included within the scope of protection of the present invention.
It should be noted that in various embodiments, identical label or label may be used, but these not generations Absolute contact relationship in table structure or function.Also, also not generation such as " first " that is previously mentioned in each embodiment, " second " Absolute differentiation relationship in table structure or function, these are merely for convenience of description.
As shown in Figure 1, road vehicle traffic behavior recognition methods flow chart in an embodiment of the present invention.Road vehicle is handed over Passage specifically comprises the following steps for recognition methods:
Step S1, the identity for obtaining vehicle within the scope of corresponding road Identification records corresponding identity vehicle and enters the identification range Entry time.The identity of vehicle is obtained by corresponding collecting device, corresponding road Identification range is by corresponding collecting device Characteristic determines.Preferably, the identity of the vehicle reads the radio frequency identification installed on vehicle electricity by radio-frequency identification reader/writer Subtab obtains, and the identification range, that is, radio-frequency identification reader/writer is compared by the overlayable range of antenna transceiving radio frequency signal In handing over all-purpose camera, it is that coverage area is big, 30 meters of fore-and-aft distance or more can be reached.It is stored in radio frequency recognizing electronic label The related identification information for having vehicle, after radio-frequency identification reader/writer sends corresponding radio frequency command to radio frequency recognizing electronic label, Related identification information will be fed back to radio-frequency identification reader/writer by radio frequency recognizing electronic label, can by radio-frequency identification reader/writer To obtain the vehicle identification within the scope of corresponding lane identification, preferred radio frequency band is between 920-925MHz.It is right that vehicle passes through Road Identification range, including two important nodes are answered, one is admission, that is, enters identification range, the other is appearing on the scene, that is, is left Identification range.For being obtained by radio-frequency identification reader/writer, when radio-frequency identification reader/writer reads certain in identification range for the first time When radio frequency recognizing electronic label on a vehicle, the time of acquisition is the entry time of above-mentioned identity vehicle, because vehicle can Can repeatedly pass through the identification range of some road, but adjacent interval twice is theoretically all relatively long, thus be for the first time Vehicle leaves counting again after the identification range as a result, the identity read for the first time when i.e. vehicle reenters identification range Information is referred to as the first time.According to radio frequency recognition principle, if vehicle continues in identification range, radio-frequency identification reader/writer will The identity information of above-mentioned identity vehicle feedback is constantly read, is terminated until appearing on the scene, therefore can be by being in preset time The no identity information for reading again corresponding vehicle corresponds to whether identity vehicle appears on the scene to determine, such as if without again in 30 seconds It is secondary to obtain corresponding identity information, illustrate that the vehicle of above-mentioned identity has appeared on the scene.The corresponding identity vehicle of record enters the identification The entry time of range, in order to calculate residence time, residence time is intended to indicate that vehicle in the identification range Residence time, residence time were calculated by entry time.
Step S2, first threshold is set, judge whether residence time of the corresponding identity vehicle in identification range is more than institute State first threshold.The purpose that first threshold is set be in order to realize judgement vehicle stopped in the identification range thresholding when Between, first threshold set can according to vehicle normal through the identification range required time as foundation, such as with 20km/h Speed calculate through time of identification range, it may also be necessary to add rational tolerance time, can directly be arranged first Threshold value is 1 minute.It should be noted that the dynamic for being also contemplated that first threshold according to different positions adjusts, such as identify model It is in the alert bayonet of electricity to enclose residing section, and the passage of vehicle is also dispatched by traffic lights, therefore is also contemplated that red light and is caused vehicle Residence time.It is compared with first threshold by the way that residence time of the identity vehicle in identification range will be corresponded to, to not Same comparison result makes corresponding operation.
Step S3, it is abnormal behaviour vehicle to the marking of cars that residence time is more than the first threshold.Setting is when resident When time is more than between first threshold or setting when camped more than or equal to first threshold, illustrate vehicle in identification range at this time Residence time is longer, is marked as abnormal behaviour vehicle.The abnormal behaviour vehicle of label can be operated further, Such as can include uniformly on the map corresponding position of screen by abnormal behaviour vehicle.Preferably, when having determined that abnormal behaviour Vehicle has appeared on the scene, that is, can be the abnormal behaviour car stowage of label in another individual database after leaving identification range In, it is only used in and is shown on screen at present still in the abnormal behaviour vehicle in identification range.
After vehicle is marked as abnormal behaviour vehicle, it can also do and further identify, not according to abnormal behaviour vehicle Specific abnormal behaviour type is determined with behavior pattern.Second threshold is set, to the abnormal row within the scope of corresponding road Identification It is analyzed for vehicle, calculates and do not leave the quantity of abnormal behaviour vehicle in identification range also, when resting in identification range Vehicle alreadys exceed certain limit, and because when traveling slowly leads to stay longer, you can to illustrate corresponding identification model Road where enclosing is in congestion status.Vehicle is still in can be with by whether persistently read corresponding vehicle in the identification range Identity judge that second threshold can be determined according to that can accommodate the limit of vehicle within the scope of corresponding road Identification, i.e. vehicle The vehicle number that can be at most born when congestion.The quantity for resting on the abnormal behaviour vehicle in identification range is more than second threshold When, determine that corresponding road is in congestion status, that is, the abnormal behaviour vehicle being in identification range is in congestion status, specifically Abnormal behaviour is caused because congestion is unable to normal pass, the process of judgement can be real-time, be gathered around to the section of any time Stifled situation carries out real-time judge.As shown in Fig. 2, specifically, five vehicles of A, B, C, D, E are respectively in different moments admission, earliest one Vehicle is A vehicles in t1 moment admissions, but from the point of view of the residence time distribution of five vehicles in figure, has been above first threshold, and The t2 moment is without departing from identification range, it is assumed that second threshold setting is four vehicles, therefore may determine that t2 moment corresponding road Road is in congestion status.In more embodiments, can also according to the average residence time of all abnormal behaviour vehicles come Determine the jam level of road, average residence time is longer, and expression jam level is higher.All being averaged for abnormal behaviour vehicle are stayed It stays the time that can calculate the average residence time of all abnormal behaviour vehicles in identification range, or calculates all vehicles of leaving the theatre Average residence time, or have both at the same time.
Furthermore it is also possible to separate independent analysis to different tracks, specifically, radio-frequency identification reader/writer be by antenna come Corresponding identification range is covered, and there are one corresponding antenna, the identification range difference of each antenna in usually each track A track is covered, is responsible for that a track is identified.Separate computations are carried out to the abnormal behaviour vehicle in different tracks, point Do not judge whether the quantity of the abnormal behaviour vehicle in each track reaches corresponding threshold value, to determine which track is in congestion State, which track are in the state that passes unimpeded, and the above embodiment can mainly be applied at the crossing with ring road, sometimes Ring road congestion and main road passes unimpeded, accuracy can be improved by being performed separately.The equipment such as radar are specifically can be combined with, it is close to wagon flow Degree, congestion, vehicle speed measurement etc., which are done, further accurately to be identified.
In another specific implementation mode, analyze disobeying parking this abnormal behaviour type.Illegal parking is usual To stop in the trackside position that Parking permitted, due to Roadside Parking have the characteristics that it is solitary, i.e., usually there is no Two or more vehicles are carried out while being stopped.Therefore, can be judged by the abnormal behaviour of admission vehicle simultaneously, setting the Three threshold values, have within same entry time and when only admission marking of cars is abnormal behaviour vehicle, and the abnormal row It is more than the third threshold value for the residence time of vehicle, determines that the abnormal behaviour vehicle is to disobey parking.Third threshold value is set Purpose be have in same entry time and only admission marking of cars is abnormal behaviour vehicle, it may be possible to disobey and stop It causes, but it could also be possible that congestion in road causes, but is compared by analysis it can be found that the case where congestion usual vehicle all can It is slowly moving, residence time is also limited in identification range, and the separated residence time stopped is longer, therefore the two exists Prodigious difference.The setting of third threshold value can be according to vehicle under congestion status by average time, it may be necessary to Increase rational tolerance time, such as can directly be arranged 5 minutes or 10 minutes, it is preferable that can be combined with the congestion of history Transit time and various influence factors synthesis are judged that third threshold value is usually longer than first threshold.It needs to illustrate It is not necessarily to be merely to indicated in the vehicle of same time point admission in same entry time, the same time can also be included in Admission vehicle within the scope of point reasonable error can be regarded as in same entry time, i.e., if the entry time of several vehicles Difference only several seconds, can also regard as in same entry time.As shown in figure 3, five vehicles of A, B, C, D, E enter in different moments , and residence time is different, wherein A vehicles are just left the theatre, it is clear that be marked as abnormal behaviour in t1 moment admissions at the t2 moment Vehicle, and by analysis it can be found that D vehicles are also in t1 moment admissions, but there is no quilts since the residence time of D vehicles is shorter Labeled as abnormal behaviour vehicle, therefore have within same entry time and only A logos are denoted as abnormal behaviour vehicle, and it is resident when Between longer have been above third threshold value, it is possible to determine that A vehicles are to disobey parking.
In still another embodiment, to traffic accident vehicle, this abnormal behaviour type is analyzed.The vehicle having a car accident Caused by being typically two vehicles or more vehicle grazings, mostly occur between front and back vehicle or adjacent lane side-by-side cars, therefore generation vehicle Distance is closer between the vehicle and vehicle of misfortune.Therefore, third threshold value can be set, and third threshold value is as described above, in same admission When the marking of cars that time has at least two admissions is abnormal behaviour vehicle, and the residence time of the abnormal behaviour vehicle is same When be more than third threshold value, determine and traffic accident have occurred between the abnormal behaviour vehicle.Here at least two preferably can only set Two or three are set, because the vehicle that grazing occurs has three the case where sometimes usually based on two.As described above, The judgement for introducing third threshold value is exactly to differentiate because being interfered caused by congestion.As shown in figure 4, five vehicles of A, B, C, D, E In different moments admission, and residence time is different, wherein simultaneously in t1 moment admissions, residence time is all held for A vehicles and D vehicles Continue the t2 moment, be far longer than first threshold, and other vehicle admissions are not present at the t1 moment, therefore within same entry time There are A vehicles and D logos to be denoted as abnormal behaviour vehicle, and the residence time of A vehicles and D vehicles is all more than simultaneously third threshold value, determines A vehicles Traffic accident has occurred between D vehicles.
Fiveth threshold value bigger than third threshold value can also be preferably set, when the 5th threshold value limits the processing of traffic accident vehicle Between, when traffic accident vehicle to leave threshold range in time in the 5th threshold value, can also regard as disobeying parking.5th threshold is set Value redefines the abnormal behaviour vehicle when determining that the residence time for the abnormal behaviour vehicle having a car accident is more than five threshold values For disobey parking.
It should be noted that judging to disobey parking in two kinds of embodiments of traffic accident vehicle, the vehicle of admission can wrap All tracks in same section are included, are to acquire mutiple antennas when identification range is generated by the corresponding antenna in different tracks The relevant information of correspondence identity vehicle carry out comprehensive analysis and obtain.In addition, in special application, abnormal behaviour vehicle is judged It is only in that parking or traffic accident vehicle are disobeyed in identification, then as third threshold value can be arranged with first threshold at this time 's.
In the above-described embodiment, it occurs especially in urban road, even if vehicle, which gets congestion, is generally also in slow Slowly it passes through, therefore can determine the specific abnormal behaviour type of vehicle well using the above embodiment.Here in fact main It is determined by analyzing the origin cause of formation of congestion in road, the case where congestion in road occurs to be typically as caused by the stifled point in front, most Typical is exactly that stifled point has a car accident, and also a kind of is exactly so-called ghost clogging, be because of road vehicle relative saturation, Disturbance of appearance, such as brake etc. form chain reaction caused by virtual stifled point.And urban road is mostly all rather spacious, and Split point is more, thus the vehicle of congestion and time also than relatively limited, so less will appear long-time congestion not before situation Occur, slow speed generally can all be kept to move ahead.
But apply in the scene of highway, it is possible to which the case where needing to consider vehicle long-time congestion is especially saved During holiday, the vehicle of possible congestion is just directly flame-out to be parked on congested link.But it can be " old by vehicle in identification range Go out newly into " general trend be inferred to, apparent can will be specifically unlikely to be by way of exclusive method and disobey parking or vehicle Misfortune vehicle excludes.By analyze and determine, disobey parking and traffic accident vehicle after occurring be for a period of time can not be mobile, The RSSI of the abnormal behaviour vehicle feedback can be passed through at this time(Received Signal Strength Indicatio, connect The signal strength of receipts indicates)Value judges the state of vehicle, such as when third threshold value after the abnormal behaviour vehicle admission In the preset range up and down of punctum, there is the fluctuation of RSSI value, illustrate vehicle in movement, then it is concluded that going out vehicle not Stop or traffic accident state in disobeying, therefore redefines vehicle and be in congestion status or other special circumstances.
In a preferred embodiment, the 4th threshold value, the abnormal behaviour vehicle admission to the third can also be set In threshold range, the appearance vehicle number in track where calculating the abnormal behaviour vehicle is less than described in the appearance vehicle number 4th threshold value and place track still have new admission the marking of cars be abnormal behaviour vehicle when, redefine the abnormal behaviour vehicle Be in congestion status.Because stopping or when traffic accident state to disobey judging the abnormal behaviour vehicle, from admission to third threshold value In range, the abnormal behaviour vehicle is in identification range, so passing through abnormal behaviour vehicle described in the computing interval The appearance vehicle number in place track, to determine the traffic status in track, if the appearance vehicle number in place track is more, explanation At least there are no stagnations for the prevailing state in track, therefore abnormal behaviour vehicle ought to leave identification model in rational third threshold value It encloses, if the appearance vehicle number in place track is less, is limited here by the 4th threshold value, the 4th threshold value can be according to actually gathering around Appearance vehicle number under stifled serious conditions refers to specific numerical value, when appearance vehicle number is less than four threshold value, explanation Congestion in road and its serious, or even there is the case where only import but no export, it just needs to redefine at the abnormal behaviour vehicle at this time In congestion status, thereby increases and it is possible to which congestion is very serious.But above-mentioned analysis method is built upon in the case that road has congestion, If it is because when causing appearance vehicle less by vehicle is less on road, will draw the wrong conclusion, therefore also to sentence It is abnormal behaviour vehicle that whether track where disconnected, which still has the marking of cars of new admission, i.e., after the abnormal behaviour vehicle admission, Other vehicle admissions can not be normal through identification range, that determines that serious congestion occurs really in corresponding road.Preferably, Can be combined with directly judging road whether congestion come determine it is separated stop whether identifying correctly with traffic accident vehicle, that is, be computed as described above It is more than described second in the quantity of the abnormal behaviour vehicle still in the quantity of the abnormal behaviour vehicle in the identification range When threshold value, determine that corresponding road is in congestion status.
As shown in figure 5, five vehicles of A, B, C, D, E are in different moments admission, and residence time is different, wherein A vehicles and D Vehicle simultaneously in t1 moment admissions, residence time continues up to the t2 moment, by it is above-mentioned directly judge in the way of, then judging A Traffic accident has occurred between vehicle and D vehicles, but by further judging to find, the track appearance vehicle where A vehicles or D vehicles is less, By taking no appearance vehicle as an example, it is clear that it is less than the 4th threshold value, and C vehicles and E vehicles enter after A vehicles and D vehicle admissions in identification range, By residence time it has also been discovered that there is the phenomenon that delay, therefore illustrate that road is to get congestion, and A vehicles and D logos are remembered Grazing not occurs because of between for abnormal behaviour vehicle, it may be possible to which but encountering congestion because of coincidence admission simultaneously cannot be normal Caused by moving ahead.
As shown in fig. 6, road vehicle traffic behavior identifying system schematic diagram in an embodiment of the present invention.Road vehicle is handed over Current be identifying system includes acquiring unit U1, judging unit U2, marking unit U3, by the corresponding identity vehicle of judgement with it is described Identification range relevant time response determines the behavior pattern of vehicle pass-through.
Acquiring unit U1 is used to obtain the identity of vehicle within the scope of corresponding road Identification, records corresponding identity vehicle and enters institute State the entry time of identification range.Acquisition modes are received and dispatched preferably by radio-frequency identification reader/writer by radio-frequency identification reader/writer Radiofrequency signal is written and read the radio frequency recognizing electronic label in front windshield of vehicle, obtains in radio frequency recognizing electronic label Indicate the information of vehicle identification.How to determine that corresponding identity vehicle is in identification range, is by radio frequency recognizing electronic label It is no persistently to read subject to corresponding identity information, time as the entry time to read corresponding vehicle identification for the first time, no The last time read access time before corresponding vehicle identification can be read as the time for competiton, come greatly by admission and the case where appearance Body judges behavior pattern of the vehicle in identification range.
Whether judging unit U2 judges residence time of the corresponding identity vehicle in identification range for first threshold to be arranged More than the first threshold.First threshold normal through the identification range required time can be foundation according to vehicle, corresponding If identification range be in the crossings such as traffic lights, the setting of first threshold is it is also contemplated that the time that red light waits for.First threshold Setting be that will be distinguished with the vehicle of abnormal behaviour in identification range, i.e., to differentiate the vehicle of normal pass Find out the vehicle of the stay longer in identification range.For example, certain vehicles have only just passed through identification model within 2 seconds Enclose, illustrate that it belongs to the vehicle of normal pass, if certain vehicles by identification range need 2 minutes, considerably beyond it is normal when Between, i.e. it is certain to illustrate that vehicle pass-through there is a problem of for first threshold.Residence time be since after corresponding identity vehicle admission Timing is until corresponding identity vehicle leaves identification range, and when vehicle is in identification range, residence time can be with the time Passage constantly increases.
Marking unit U3 is used to be abnormal behaviour vehicle to the marking of cars that residence time is more than the first threshold.Pass through It is compared with first threshold, is abnormal behaviour vehicle by the marking of cars that residence time is more than first threshold.As described above, mark The abnormal behaviour vehicle of note can be directly displayed on the map of screen, or do further identification to abnormal behaviour vehicle.It is excellent Second threshold is arranged in selection of land, marking unit U3, and second threshold is for indicating a kind of threshold value of vehicle number, specifically according to correspondence Road can vehicle limit determine.Calculate number of the corresponding road still in the abnormal behaviour vehicle in the identification range Amount determines that corresponding road is in congestion status when the quantity of the abnormal behaviour vehicle is more than the second threshold.It determines Road congestion is typically a real-time process, and the above embodiment needs to analyze sometime, on road in identification range The quantity of abnormal behaviour vehicle judge congestion in road situation, when sometime some abnormal behaviour vehicle has been moved off identification Range, it should determine not in the quantity of statistics.
Third threshold value is arranged in marking unit U3, and the standard of congestion transit time can be set by third threshold value.Pass through Three threshold values, can have within same entry time and when only admission marking of cars is abnormal behaviour vehicle, and described different The residence time of Chang Hangwei vehicles is more than the third threshold value, determines that the abnormal behaviour vehicle is to disobey parking.Or same When the marking of cars that there is at least two admissions in one entry time is abnormal behaviour vehicle, and the abnormal behaviour vehicle is stayed It stays the time while being more than third threshold value, determine and traffic accident has occurred between the abnormal behaviour vehicle.Utilize separated parking or traffic accident Separated parking or traffic accident vehicle are distinguished by the special relationship between vehicle and entry time.It is described in addition it can pass through The trend of the RSSI value of abnormal behaviour vehicle feedback or judgement " go out always newly into " is excessively serious and cause to ensure to exclude congestion Judge that above-mentioned abnormal behaviour type has that mistake, relevant embodiment can also be referring in particular to roads by entry time The specific implementation mode of road vehicles traffic behavior recognition methods.
In conjunction with method and technology scheme disclosed in the present application, hardware can be embodied directly in, executed by control unit it is soft Part module or the two combination, i.e. one or more steps and/or one or more steps combination, both can correspond to computer journey Each software module of sequence flow can also correspond to each hardware module, such as ASIC(Application Specific Integrated Circuit, application-specific integrated circuit)、FPGA(Field-Programmable Gate Array, scene can compile Journey gate array)Or other programmable logic device, discrete gate or transistor logic, discrete hardware components or it is arbitrary suitable Work as combination.For convenience of description, it is divided into various modules with function when description above-mentioned apparatus to describe respectively, certainly, is implementing this The function of each module is realized can in the same or multiple software and or hardware when application.
As seen through the above description of the embodiments, those skilled in the art can be understood that the application can It is realized by the mode of software plus required general hardware platform.Based on this understanding, the technical solution essence of the application On in other words the part that contributes to existing technology can be expressed in the form of software products.The software is by microcontroller list Member executes, and depends on required configuration, may include any kind of one or more micro-control units, including but not limited to Micro-control unit, microcontroller, DSP(Digital Signal Processor, Digital Signals unit)Or its arbitrary group It closes.The software is stored in memory, for example, volatile memory(Such as random-access memory etc.), nonvolatile memory (For example, read-only memory, flash memory etc.)Or its arbitrary combination.
In conclusion the present invention analyzes different identity vehicle by the way that the vehicle identification in identification range is identified Entry time and residence time, by judging whether corresponding identity vehicle is more than the threshold range of setting to determine whether for exception Behavior vehicle.The present invention can improve the efficiency of identification road vehicle traffic behavior, and support is provided for road data analysis.
It should be appreciated that although this specification is described in terms of embodiments, but not each embodiment only includes one A independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should will say As a whole, the technical solution in each embodiment may also be suitably combined to form those skilled in the art can for bright book With the other embodiment of understanding.
The series of detailed descriptions listed above only for the present invention feasible embodiment specifically Bright, they are all without departing from equivalent implementations made by technical spirit of the present invention not to limit the scope of the invention Or change should all be included in the protection scope of the present invention.

Claims (11)

1. a kind of road vehicle traffic behavior recognition methods, which is characterized in that include the following steps:
The identity for obtaining vehicle within the scope of corresponding road Identification, when recording admission of the corresponding identity vehicle into the identification range Between;
First threshold is set, judges whether residence time of the corresponding identity vehicle in identification range is more than the first threshold;
It is abnormal behaviour vehicle to the marking of cars that residence time is more than the first threshold.
2. road vehicle traffic behavior recognition methods according to claim 1, which is characterized in that the identity of the vehicle is logical It crosses radio-frequency identification reader/writer and reads the radio frequency recognizing electronic label acquisition installed on vehicle and to read corresponding vehicle body for the first time The time of part is as entry time.
3. road vehicle traffic behavior recognition methods according to claim 1, which is characterized in that setting second threshold, In corresponding road, the quantity still in the abnormal behaviour vehicle in the identification range is calculated, in the abnormal behaviour vehicle When quantity is more than the second threshold, determine that corresponding road is in congestion status.
4. road vehicle traffic behavior recognition methods according to claim 3, which is characterized in that according to all abnormal behaviours The average residence time of vehicle determines the jam level of road.
5. road vehicle traffic behavior recognition methods according to claim 1, which is characterized in that setting third threshold value, Have in same entry time and when only admission marking of cars is abnormal behaviour vehicle, and the abnormal behaviour vehicle is stayed It is more than the third threshold value to stay the time, determines that the abnormal behaviour vehicle is to disobey parking.
6. road vehicle traffic behavior recognition methods according to claim 1, which is characterized in that setting third threshold value, When the marking of cars that there is at least two admissions in same entry time is abnormal behaviour vehicle, and the abnormal behaviour vehicle Residence time is more than simultaneously third threshold value, determines and traffic accident has occurred between the abnormal behaviour vehicle.
7. road vehicle traffic behavior recognition methods according to claim 5 or 6, which is characterized in that the 4th threshold value of setting, In the abnormal behaviour vehicle admission to the third threshold range, the pull-out vehicle in track where calculating the abnormal behaviour vehicle Number is less than the 4th threshold value in the appearance vehicle number and still to have the marking of cars of new admission is abnormal behaviour in place track When vehicle, redefines the abnormal behaviour vehicle and be in congestion status.
8. a kind of road vehicle traffic behavior identifying system, which is characterized in that including:
Acquiring unit, the identity for obtaining vehicle within the scope of corresponding road Identification record corresponding identity vehicle and enter the knowledge The entry time of other range;
Judging unit, for first threshold to be arranged, judge residence time of the corresponding identity vehicle in identification range whether be more than The first threshold;
Marking unit, the marking of cars for residence time being more than the first threshold are abnormal behaviour vehicle.
9. road vehicle traffic behavior identifying system according to claim 8, which is characterized in that the marking unit is also set Second threshold is set, in corresponding road, the quantity still in the abnormal behaviour vehicle in the identification range is calculated, described different When the quantity of Chang Hangwei vehicles is more than the second threshold, determine that corresponding road is in congestion status.
10. road vehicle traffic behavior identifying system according to claim 8, which is characterized in that the marking unit is also Third threshold value is set, is had within same entry time and when only admission marking of cars is abnormal behaviour vehicle, and is described The residence time of abnormal behaviour vehicle is more than the third threshold value, determines that the abnormal behaviour vehicle is to disobey parking.
11. road vehicle traffic behavior identifying system according to claim 8, which is characterized in that the marking unit is also Third threshold value is set, when the marking of cars that there is at least two admissions within same entry time is abnormal behaviour vehicle, and institute It states the residence time of abnormal behaviour vehicle while being more than third threshold value, determine and traffic accident has occurred between the abnormal behaviour vehicle.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109961634A (en) * 2019-03-05 2019-07-02 同济大学 A kind of urban road vertical positioning system and method based on car networking
CN110491140A (en) * 2019-08-08 2019-11-22 横琴善泊投资管理有限公司 A kind of parking lot entrance lane occupies detection and bootstrap technique and system
CN111047872A (en) * 2019-11-29 2020-04-21 武汉虹信技术服务有限责任公司 Road illegal parking vehicle management system and method based on intelligent analysis
CN111161556A (en) * 2019-12-24 2020-05-15 北京握奇数据股份有限公司 Highway traffic jam prompting method and system based on OBU
CN112633039A (en) * 2019-09-24 2021-04-09 成都通甲优博科技有限责任公司 Method and system for filtering congestion area
CN113033471A (en) * 2021-04-15 2021-06-25 北京百度网讯科技有限公司 Traffic abnormality detection method, apparatus, device, storage medium, and program product
CN113870548A (en) * 2020-06-30 2021-12-31 奥迪股份公司 Traffic management apparatus, corresponding method, server, computer device, and medium
CN114464008A (en) * 2019-03-07 2022-05-10 西安艾润物联网技术服务有限责任公司 Method and device for warning vehicle entering and exiting place
CN117539874A (en) * 2023-10-11 2024-02-09 湖北泰跃卫星技术发展股份有限公司 Method and device for acquiring agronomic activities based on movement tracks

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003337992A (en) * 2002-05-22 2003-11-28 Hitachi Kokusai Electric Inc Traffic information providing system using vehicle speed monitor system
JP2009282683A (en) * 2008-05-21 2009-12-03 Mitsubishi Electric Corp Violating vehicle photographing system and image processor
CN102034354A (en) * 2010-11-04 2011-04-27 东南大学 Method for determining influence range of urban road traffic accident based on fixed detector
CN104091443A (en) * 2014-06-26 2014-10-08 北京计算机技术及应用研究所 Method and system for calculating traffic congestion degree based on radio frequency identification
CN104282165A (en) * 2013-07-12 2015-01-14 深圳市赛格导航科技股份有限公司 Early-warning method and device for road segment congestion
CN104751629A (en) * 2013-12-31 2015-07-01 ***通信集团公司 Method and system for detecting traffic accidents
CN105046960A (en) * 2015-07-10 2015-11-11 潘进 Method and apparatus for analyzing road congestion state and detecting illegal parking
CN105355053A (en) * 2015-11-04 2016-02-24 公安部交通管理科学研究所 Roadside illegally-parked vehicle automatic detection system
KR101753804B1 (en) * 2016-12-01 2017-07-04 (주)아이엠시티 ALLIMI System against Parking and Stopping Violation Car Using AI

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003337992A (en) * 2002-05-22 2003-11-28 Hitachi Kokusai Electric Inc Traffic information providing system using vehicle speed monitor system
JP2009282683A (en) * 2008-05-21 2009-12-03 Mitsubishi Electric Corp Violating vehicle photographing system and image processor
CN102034354A (en) * 2010-11-04 2011-04-27 东南大学 Method for determining influence range of urban road traffic accident based on fixed detector
CN104282165A (en) * 2013-07-12 2015-01-14 深圳市赛格导航科技股份有限公司 Early-warning method and device for road segment congestion
CN104751629A (en) * 2013-12-31 2015-07-01 ***通信集团公司 Method and system for detecting traffic accidents
CN104091443A (en) * 2014-06-26 2014-10-08 北京计算机技术及应用研究所 Method and system for calculating traffic congestion degree based on radio frequency identification
CN105046960A (en) * 2015-07-10 2015-11-11 潘进 Method and apparatus for analyzing road congestion state and detecting illegal parking
CN105355053A (en) * 2015-11-04 2016-02-24 公安部交通管理科学研究所 Roadside illegally-parked vehicle automatic detection system
KR101753804B1 (en) * 2016-12-01 2017-07-04 (주)아이엠시티 ALLIMI System against Parking and Stopping Violation Car Using AI

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109961634A (en) * 2019-03-05 2019-07-02 同济大学 A kind of urban road vertical positioning system and method based on car networking
CN114464008A (en) * 2019-03-07 2022-05-10 西安艾润物联网技术服务有限责任公司 Method and device for warning vehicle entering and exiting place
CN110491140A (en) * 2019-08-08 2019-11-22 横琴善泊投资管理有限公司 A kind of parking lot entrance lane occupies detection and bootstrap technique and system
CN112633039A (en) * 2019-09-24 2021-04-09 成都通甲优博科技有限责任公司 Method and system for filtering congestion area
CN111047872A (en) * 2019-11-29 2020-04-21 武汉虹信技术服务有限责任公司 Road illegal parking vehicle management system and method based on intelligent analysis
CN111161556A (en) * 2019-12-24 2020-05-15 北京握奇数据股份有限公司 Highway traffic jam prompting method and system based on OBU
CN111161556B (en) * 2019-12-24 2021-09-07 北京握奇数据股份有限公司 Highway traffic jam prompting method and system based on OBU
CN113870548A (en) * 2020-06-30 2021-12-31 奥迪股份公司 Traffic management apparatus, corresponding method, server, computer device, and medium
CN113033471A (en) * 2021-04-15 2021-06-25 北京百度网讯科技有限公司 Traffic abnormality detection method, apparatus, device, storage medium, and program product
CN117539874A (en) * 2023-10-11 2024-02-09 湖北泰跃卫星技术发展股份有限公司 Method and device for acquiring agronomic activities based on movement tracks

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