WO2017049369A1

WO2017049369A1 - System and method for monitoring and supervising traffic and for recording traffic infractions in a roadway section or segment

Info

Publication number: WO2017049369A1
Application number: PCT/BR2015/000143
Authority: WO
Inventors: Adriel Bilharva DA SILVA; Paulo Roberto CEMIN
Original assignee: Perkons S/A
Priority date: 2015-09-21
Filing date: 2015-09-21
Publication date: 2017-03-30
Also published as: BR112018005465A2

Abstract

The present invention relates to a system and method for monitoring and supervising traffic and for recording traffic infractions in a roadway section or segment, said system comprising, in a monitoring area (100), at least two local processing units (UPL_A, UPL_B,... UPL_N), at least two monitoring cells (CEL_A, CEL_B,... CEL_N) obtained by subdividing the monitoring area (100), each cell being individually and unequivocally assigned to a corresponding local processing unit (UPL_A, UPL_B, UPL_N), at least one overlapping region (SP_AB, SP_BC,...SP_(n),(n+1)) between the monitoring cells (CEL_A, CEL_B,... CEL_N), at least one central processing unit (CPU), at least one communication channel between the processing units (UPL_A, UPL_B,... UPL_N) and the central processing unit (CPU), and at least one specific computer program for managing and establishing communication between the system components and implementing the corresponding method.

Description

SYSTEM I METHOD OF TRAFFIC TRAFFIC MONITORING AND MONITORING AND REOISING OF TRAFFIC TRAFFIC EFFECTS

OR ROAD SEGMENT

Application Cam

[001] The present invention pertains to the field of traffic monitoring and enforcement systems and traffic violation recording, introduction

The present invention relates to a system and method for monitoring traffic control and recording traffic violations on a section or segment of a road, specifically detecting traffic conditions, traffic violations, and measuring the speed of the traffic. infringing vehicle and image and / or video registration of the infringing vehicle,

[003] The present system and method may be used on stretches of highways, avenues, streets, comprising the full virulent tunnel shape which may be hundreds of meters to kilometers, according to the need and conditions of the application.

[004] The system according to the invention comprises one or more radar for speed measurement and the motor wakes position, preferably, but not limited to _are microwave radars, based on Ooppler or similar effect, which in this document will be hereinafter referred just as Doppler sensors, one or more cameras, signaling _panels' local processing unit and central processing unit. Analogous to the cellular communication system where the mobile terminal handoves or transfers a coverage area from one cell to another without interrupting transmission, the proposed system enables the transfer of a tracked vehicle within the coverage area of a sensor to the coverage area of the next sensor, without losing frajétórta and instantaneous speed information along the way. numerous times there is the total coverage of the desired monolithic atomization.

State of the art

State-of-the-art solutions for the control of traffic by means of devices capable of monitoring, inspecting and recording infringements are known, and in recent years there has been an increase in the use of a system for the monitoring of traffic violations. stretches or segments of transit roads,

[O0SJ Patent Document O20004677S, for example, introduces an envision for the installation of numerous radar, laser, inductive and optical sensors to monitor road conditions including suggesting change in speed limit under adverse weather conditions. rain, fog, snow etc. However, despite performing non-monitoring of a section of road, speed measurements are made on time, and it is not possible to monitor instantaneous speed and trajectory in all sections of the road,

[007] US patent document US200202Ô278, in turn, demonstrates a system that transforms a highway into monitored highway segments by installing fixed sensors at known points, through these segments the NTT {Normàíizé Travei Tim & ou tempo is calculated. travel standard). This system measures point speed and performs vehicle recognition through license plate reading. With information about the travel time and distance between the image acquisition points, the system infers average speed measurement of the highway segment. Patent document WO2010085931, which is very similar to the aforementioned US2002Õ26278, also provides a method for inferring the average speed per segment or track segment, with slight variations. Enta ⁱ in it, both mifodo r Wheeler , Pewaukee by the O201DÓS5831 as © revealed by 032002026278 it is not possible to measure instantaneous velocity and trajectory performed by the vehicle along the monitored segment.

WO2004010401 discloses a method which determines highway occupancy and average speed and incident detection by means of cellular network eta-formations and geographical focus of their stations. This method depends on the provision of user information by mobile operators, it also depends on the existence of at least one terminal connected to each vehicle, even in idle state, only communicating with the operator's service channel. As noted in previous decades, this method is also unable to measure instantaneous speed and vehicle reactivation along the monitored segment, and additionally relies on third party information for results,

[009J ® JP200633Q942 discloses a method which provides image analysis to determine the congestion conditions, d © traffic anomalies, traffic infraçio and traffic incident, this method provides _are by video analysis, identification ds above conditions from time to time to assist in decision-making for better traffic flow. The method, however, is not able to identify speeding offenses.

[010] Patent documents C 102867418 and US 2006/0200307 disclose methods with slight variations among themselves which are capable of performing vehicle tracking by video analysis on a segment covered by a video image. The document CN 102887418 provides the identification of the vehicles in the video by means of the identification of the license plate and lanterns, whereas the document US 2006/0200307 reactivated the tracking of the vehicle by means of image comparison in a control center _{, as} the tracking of the vehicle was performed. with generation d a

The generation is a trajectory that does not include the instantaneous velocity measurement along this vehicle trajectory,

KR 101457137, in turn, discloses a method that utilizes Doppler sensor video tracking of the same Area of Interest, combining and synchronizing the data for greater accuracy. This system is capable of measuring the instantaneous and path velocity of the sensors along the sensor coverage area, but is restricted to a coverage area limited to hundreds of meters and does not provide for continuous path detection through longitudinal overlap of the sensor. multi-sensor coverage to extend tracking and generation of a single path *

As can be inferred from the description of the state of the art, there is room and demand for improved traffic monitoring and monitoring from a continuous monitoring section, especially in what concerns (i) detection and validation of instantaneous speed measurement over a monitored trajectory, (li) detection of infringement by traffic at a location or time not permitted, (i) detection of road occupancy conditions, (iv) detection of traffic incidents such as For example, stopping in prohibited Socai, driving on the side of the road, traveling at a speed below the minimum road limit, presence of animals or other foreign elements to the road, etc.

Objectives of the Invention

[01] It is therefore an object of the present invention to provide a system according to the features of claim 1 of the appended claim table.

Another object of the present invention is to provide a method according to the features of claim 7 of the attached claim table. i 5] Oejeíivo di preseliíe kwmç is also., providing ecirri software with the characteristics of ejviintdicaçl 1 d © cpadr m fidlcâíôrío arsexo

[016] Other features and details are represented by the dependent claims,

Short Description «ias f igó r is

[0 7] For an understanding and understanding of the scope of the present invention, it will now be described with reference to the accompanying figures, representing the technical effect obtained by an exemplary non-limiting embodiment of the scope of the present invention, wherein schematically :

Figure 1: presents a diagram of the passage of a vehicle on an isolated prior art traffic monitoring channel;

Figure 1.1: shows the displacement path of a vehicle covered by the cell of Figure 1;

10203 Figure 2: shows a diagram of the passage of a vehicle on a monitor of network cells traffic ment of a system according to the invention _"consists, for example, neat cells;

Figure 2.1: shows the displacement path of a vehicle covered by the first cell of Figure 2;

Figure 2.2 shows the displacement path of a vehicle covered by the second cell of Figure 2;

Figure 2.3: shows the displacement path of a vehicle covered by the third cell of Figure 2;

Figure 2.4 shows the displacement matrix formed by the displacement trajectories of a vehicle covered by cells in Figure 2; Figure 3: Diagrams of vectorial method of transfer of coffin in the system of Figure 2; and

[028] Figure 4: shows the interconnection between local processing units and the central processing unit! of a system according to the invention.

Detailed Description of the Invention

S and a

[027] The present invention relates to a traffic monitoring and enforcement system and recording of traffic offenses on a section or track segment, wherein said system comprises, in a monitoring area (100);

[028] - at least two local processing units

{UP _and UPls, ... UPU);

[029] - at least two monitoring cells (CEU, CELB,

... SKY) resulting from the subdivision of the monitoring area (100) to each assigned individually and unambiguously to a corresponding local processing unit ÇUPLA »UP! B, ... UPU);

[030] - at least one overlap region (SPAB, SPBÇ, ...

S wn) between monitoring cells (CEU,

[031] - At least one carrot processing unit!

(UPC);

P32] - at least one communication channel between local processing units (UPU, UPLB, ... UPU} and the central processing unit (UPC), and

[033] ^'computed at least one specific program for gem Clamen O and eomunicâp® oomponerta included between Peio system. [034] Each of the local processing units (UPLA, UPU, ... UPLn) consists of at least one processing unit, at least one Doppter sensor (SDA, SDB, ... SD *), possibly at least a camera _f and optionally at least one signaling panel "being responsible for making the detection and chin it traces all vehicles (V) that are in its range JBC,

The monofofamerite area (100) is subdivided according to the range of each local processing unit (UPLA, UP, ... URU), resulting in 'virtual cells ^* ' or monitoring cells (CELA, CEU , ... CEL _N ) _S which are therefore sub-areas of the monitoring area (100), equivalent to each other and corresponding to specific sections to be monitored and supervised by the system according to the invention.

[036] The monitoring cells (CEU, CELB, ... CEU) are chosen so that there is at least one overlapping region between them (SPAS, SPBC, ...

jointly creating a virtual ring ^* whereby a vehicle (V) or any element or object or event within the monitoring area (100) may be monitored and ₍ possibly supervised by the system according to the invention). throughout the monitoring area (100), in full,

[03?] The central processing unit (UPC) consists of a processing unit and is connected to the local processing units (UPU, UPL¾. „UPU) and is responsible for ensuring sensing timing as well as assisting in" an ov or transition between monitoring cells (CELA, CEU, ... CEU) _» and still keep records of all passages within the" virtual tunnel "according to the Invention provided in the monitoring area (100).

£ 038] Each of the local processing units (UPU, UPU _» ... UPU) is responsible for detecting and removing all vehicles (V) - entering their monitoring cell (CELA, CELB , ... CEU), as well as registering the vehicle image (V) at the time of entry into the monitoring cell (CELA, CEL¾ CEU), In addition, whenever a vehicle is detected within the monitoring cell (CELA, CELB, .. CEU), this vehicle (V) is assigned a specific identification containing the position information, for example a horizontal dimension V and a vertical dimension *, and velocity, for example, the velocity ^' v, henceforth the vector of detachment. (xyv) or just (xyv), and then start monitoring this vehicle (V), where this set of information (xyv) is monitored for as long as the vehicle (V) remains in the monitoring cell ( CELL, CELB,

HEAVEN).

Method

Generally, a monitoring area (100) as addressed by the present invention consists of a region where a Doppler sensor or an analytical video system is capable of identifying the position and / or speed of a vehicle. (V) moving in that specific region. This detection can therefore be obtained either (i) exclusively by Doppler sensing, or (il) exclusively by video analysis or (ii) by hybrid solution with video analysis and Doppler sensing, wherein the latter hybrid solution, As can be seen from the art, it is more efficient.

Thus, the known prior art tracking consists in determining a pair of vehicle x and y coordinates (V) relative to an observation point. Through mathematical calculations based on the Ooppier effect it is also possible to determine the velocity (v) of instantaneous displacement for each measurement point, and it is possible to generate a displacement vector (xyv) by combining the position data (x, y). and d velocity (v). However, this displacement vector (xyv) is limited by the coverage area of the transmitter radio used by the Doppler sensor, which typically ranges from 100 to 500 meters. depending on the wing angle, transmission power and reception sensitivity,

[041] Figure 1 depicts exactly a state-of-the-art solution with the features described above, which covers a traffic monitoring cell (CEL) by means of a sensor (SD). This representation indicates that when a vehicle (V) passes inside a traffic monitoring cell (CEL), describing a displacement route (D) _s its track is tracked and recorded, generating ym passage vector (Â) ₍ where for each indicated point of this blur (xyv) there is a record (xyv} 'Because it is an isolated cell (CEL), this vehicle (V) has a limited tracking between 100 and 500 meters from from the sensor (SD), typical of the coverage area of a sensing cell known in the prior art (see Figure 1.1).

[042] The present invention overcomes this deficiency precisely by means of a system and method in which the coverage area of traffic monitoring cells (CE CEU, ... CEU) has overlapping regions {SPAB, SPec _* „S ^ ín +)}, in order to enable the" andov & or the transfer of the tracked vehicle (V) to the next tracking cell, enabling the generation of a vehicle displacement matrix, composed of the crossing vectors in each of the cells _* Thus, the monitoring area will no longer limited in trace 100 to 500 meters, it will be defined as number of cells PEFA (sky background., "CEU) used in sequence, as shown in figure 2.

[043] In the system and method according to the invention, when a vehicle (V) passes inside the traffic monitoring cells (CEU, CE, „CEU), its passage will be tracked and recorded, generating the crossing vectors. {Â, 1, C), where, for each point indicated by the ½s passage vectors {¾ ¾ C% there is a record v). [044] The present invention relates therefore also to a method implemented so that the transfer reafiiar monltoraroento the vehicle (V) between the tracked traffic monitoring cêlyías (EC Celé, ... CEU) so ensuring _t It is unequivocal that the passage vectors (Ã, B _s C) are referencing the same vehicle throughout their passage and stay in the monitoring area (100), thus allowing the generation of a displacement or displacement matrix (D), which contains information on the entire passage and stay of the vehicle (V) within this sensing network, called the "viral tunnel" (see also Figures 2. ΐ, 2.2, 2.3 and 2.4),

[045] The method according to the invention can be better understood from Figure 3, which will serve as the basis for the following explanation.

Considering that Doppler sensors (SDA, SDB, SDC) have fixed installation positions, it will be possible to determine the distance vector between the sensors, where;

[047] - ÍAB is the distance vector of the Doppler sensor (SDB) in

Doppler sensor (SDA) ratio;

[Ô48J - dac is the distance vector of the Doppler sensor (SDc _t ) in

Doppler sensor ratio (SDB);

[049] - VVA is the position vector of the vehicle (V) tracked by the Dopple sensor (SDA);

[050] - VVB is the vehicle position vector (V) tracked by the Doppler sensor (SDB);

[051] - Vvc is the vehicle position vector (VV) tracked by the Doppler sensor (SDc); and

[052] 'is a tolerable measurement error;

[053] Then, further considering that Doppler sensors (SDA, SDB) have synchronization in the measurement cycle, if the condition occurs we will have that the vehicle {¥) detected by the Doppler sensor (SD &) is the same vehicle detected by the Doppler sensor (SDA) _* ie, a satisfactory condition for "dovef or the transfer of the tracked vehicle from cell (CEU) to cell { CE) <In this case the displacement matrix (D) will be given by the crossing vectors {Ã, S), as follows:

Similarly, if we consider that the Doppler sensor (SDc) also has a fixed installation position and measurement cycle synchronized with the Doppler sensors (SDA, SDe), if it occurs under the condition

vB - d BC + VvG ± £>

when the vehicle (V) detected by the Doppler sensor (SD¾) is the same vehicle detected by the Doppler sensor (SDe), ie, a satisfactory condition for the "handom or transfer of the tracked vehicle from cell (EC) to cell {CELc"). In this case the complete displacement matrix (D) will be given by the pass vectors (Ã _t B, C), as follows:

THE

D 8

Ç

[055] Thus, the length of the "virtual tunnel" formed by the sum of traffic monitoring cells (CEU. CEU, ... CEU) can be defined by the amount of traffic monitoring cells (CEU, CEU, CELc). used in the system.

Thus, the method according to the invention, considering a vehicle (V) moving in the monitoring area (100) and entering it through the cell (CEU), comprises the following method steps, numbered consequently for the purposes of facilitating explanation; [057] Vehicle (V) is detected by the first local processing unit (UPU);

[0531 A unique ID (or ID) is assigned to the vehicle.

(V) by the first local processing unit (UPU);

10591 Vehicle (V) _{f travel} information (xyv) _{f is} detected and recorded where said detection and recording occurs at each measurement cycle synchronized with the other local processing units (UPU, UPLB, ... UPU) ;

; o60j In the case of combined use with a camera, vehicle (V) is acquired at the cell input;

; 061 | After detection, identification (or ID assignment) and image capture, the position (x and y coordinates) of the vehicle (V) is monitored to verify when it will enter the first overlap region (SPAB);

[062] When the vehicle enters the first overlap region (SPAB), the processing unit locates! (UPU) now reports to the local processing unit (UPU) the identification (or ID) and position (coordinates and y) of the vehicle (V) at each measuring cycle. This transmission is interrupted when the vehicle (V) leaves the overlap region (SPAS) OR when the "handove;

063] The local processing unit (UPU) generates a list of vehicles within the overlap region (SP¾s and ejivia for the local processing unit (UPis), which continuously tests the condition of the vehicle. vehicle equivalence (V} _F through equation, VVA

- BAB + VVB ± t for vehicles (V) entering your cell (EC).

If the check condition VA ^S SAB + Vv »± ε is met, ^* handovei * or cell transition is performed;

The "handovef" is characterized by the transfer of vehicle displacement (xyv) information (V) regarding the unique vehicle identification (or (D) (V) in the cell (CELA,} to the unique cell ID (CELB), generating a displacement matrix (D) composed of the passing times (Ã, B);

The vehicle continues to be monitored by the cell (CELB), and when entering the overlap region (SPuc) _» the local processing unit (UPLe) will inform the local processing unit (UPLe) of the identification data (or ID) and vehicle position (x and y coordinates) (V) at each measurement cycle. This transmission will also stop when the vehicle (V) leaves the overlap region (SPec) or when andovet occurs

Steps 7 through 10 are repeated, however for cell vehicle ^* hanáQv®f ^* to cell (CELc}>. Then transfer of shift information (xyv) from single cell ID (CELe) to the cell ID (CELc), generating a displacement matrix (O) composed of the pass vectors (A, B, C)

When the vehicle leaves the coverage area of the oliro cell ulβΕΙ or the nth cell (C £ U) ₍ 'ynídatíe de local processing (URU) returns to a central processing unit (UPC) the vehicle displacement matrix (D) (V) that has passed through the "virtual tunnel".

[069] This method described for one vehicle pass (V) is repeated for all vehicles (V) passing through the virtual tunnel for the number of times equivalent to the number of transit monitoring cells (EC, EC, - CEU) in the virtual tunnel ^* . Thus, a database is generated that contains the independent Displacement Information (xyv) by vehicle, with intervals dependent on the application demand, as well as the Images captured at the input of each cell,

[070] Thus a database stored in the central processing unit (UPC) is generated which can be used for (i) detection and validation of instantaneous speed measurement along a monitored path, (li) traffic infringement detection (iii) detection of road occupancy conditions, Çiv) detection of traffic incidents such as stopping at a prohibited place, passing by a shoulder, moving at a speed below the minimum road limit, presence of animals or other foreign elements to the track etc,

[071] The main advantage is obtaining a sensing network, enabling the monitoring of a region as large as desired, as the network can grow as needed,

£ 072] The above method could still be augmented by reading, automatically or not, the vehicle identification plate (V) at the cell entrance, ie it would go beyond detection, Identification (or ID assignment) and image capture, making the nameplate for example in step 4,

| 073 | Further, the reading of the nameplate may comprise, in step 8, for example, in the case of

* ve ± ser be met _* the realization of a demonstration proves through: d Comparison of the identification plate read at the entrance of the cells (CEU, CELB), being two, therefore, the conditions to be met for the accomplishment of the "andovei" or cell transition.

Finally, it should be noted that the most outstanding contributions to the present invention relate to the provision of a sensing network that enables the monitoring of a region as large as desired, the sensory fission can be created. according to the need and fact that an area of this sertiating network can receive sensor tracking information upstream of it, as well as contributing to the provision of information for the downstream sensing region thereof,

Conclusion

It will be readily appreciated by those skilled in the art that modifications may be made to the present invention without departing from the concepts set forth in the above description. Such modifications should be considered to be within the scope of the present invention. Accordingly, the particular embodiments described in detail hereinbefore are illustrative and exemplary only and not limiting in scope to the present invention, to which the full extent of the appended claims and any and all equivalents thereof should be given.

Claims

1. Monitoring system for traffic monitoring and recording of traffic violations in part of the road segment, characterized in that this system comprises »in a monitoring area (100):

- at least two local processing units (UPU _» UPU, ... UPL«);

- at least two monitoring cells {CE CELs, ...

EC) resulting from the subdivision of the monitoring area (100) and each individually and unambiguously assigned a corresponding iocei processing unit (UPLA, UPU, ... UPU});

- at least one overlap region (SPAB, SPÉC * - S («)« + i)) between the {CEU _» EC monitoring cells, ...

- at least one central processing unit (UPC);

- at least one communication channel between local processing units (UPU, UPLB, ... UPU) and the kangai processing unit (UPC); and

- at least one specific computer program for management and communication between the components comprised in the system »

System according to claim 1, characterized in that each of the local processing units (UPU, UPL &, ... UPU) is supported by at least one processing unit, at least one Doppler sensor ( SDA, SDB »... $ 0«), possibly at least one camera and possibly _» at least a signpost.

3. System according to claim 1 _T caracMxacto by the fact that the monitoring area (100) is subdivided in accordance with the range of field of each processing ynidade Socai {UPU UPU

... UPU), resulting in "virtual cells" or monitoring cells

System according to Claim 1, characterized in that the processing unit is centered. (UPC) is comprised of at least one processing unit and is connected to local processing units (UPU ,, UPLs, ... UP).

System according to claim 1, characterized in that each of the local processing units (UPLA, UPLB, ... UFLft) is responsible for detecting and tracking all vehicles (¥) which enter your monitoring cell (CELA, EL¾ ... CEU), as well as register the Image and read the license plate of these vehicles (V) at the moment of entering the main mteramento (CELA, CELg, ... CELn) .

System according to claims 1 and 5, characterized in that whenever a vehicle is detected within the morslommefrta cell (CEU, CEU ... ... CEU), this vehicle (V) is assigned an identification. (or ID) containing position and speed information,

7. method of traffic monitoring and enforcement and recording of traffic offenses on a section or track segment, wherein said method, for one or more vehicles (V) which iden- tify a mounting area (100) through a first (CEU) comprises the following method steps;

(1) Vehicle (V) detection by the first cell processing unit (UPLA) of the first cell (C LA);

2) Assigning a unique identification (or ID) to the vehicle (V) by the first local processing unit (UPLA);

3) Detection and registration of vehicle Displacement Information (xv) <V) _* where said detection and registration occur each measurement e © synchronized with the other local processing units (UPLA, OP, ... UPU); 4} Acquisition of vehicle image (V) at the time of entry of. each monitoring cell (DEU, CEU, ... vehicle number (V)) and checking when it enters a first overlapping region (SPAB) between the first cell cells (CEU, CELa);

6) When the vehicle (V) enters the first overlapping region (SPAB} 'the local processing unit (UPLA) now reports to a second local processing unit (UPLB) the nameplate data, identification {or ID) and position (x and y coordinates) of the vehicle (V) at each measurement cycle; this transmission is interrupted when vehicle (V) leaves the overlap region {SPm} ®y when hanáov @ f ' _i occurs

T) Generation by local processing unit! (UPLA) from a list of vehicles within the overlapping region (SPm) and forwarding this list to the local processing unit (UPLB), which continuously tests the vehicle equivalence condition (V) using an equation determined by VVA = B s + VVa ± s in relation to the vehicles (V) entering your cell (CSÊLB)

8) If the check condition VVA ^¾ BAS * VV ± ε is met, perform the "handovei * or cell transition;

9} ^* han cmf is characterized by the transfer of the vehicle's displacement-yoke (yv) to the unique vehicle identification (or ID) in the vehicle. cell (OEIA) to the single cell (CELB), generating a displacement matrix (D) composed of the pass vectors (Ã _f §);

10) The vehicle (V) continues to be monitored by the cell (CELs), and when it enters the overlap region (SPac), the local processing unit {UPLs} will inform the local processing unit (UPLc) of the data. the nameplate, identification (or ID) and position (x and y coordinates) of the vehicle (V) at each measurement cycle; this transmission will also be interrupted when the vehicle (V) leaves the overlap region (SPBC) or when

11) Repeat steps 7 through 10 for cell vehicle handorn (CELB) to cell (CELc); Relocate shift information (xyv) from unique cell ID {CELs} to unique cell ID {CELc), generating a displacement matrix (D) composed of the pass vectors (KB, C).

12} When the vehicle leaves the coverage area of the last cell (CELc) or nth cell (CEU), the local processing unit (UPLc) returns to a central processing unit (UC) the vehicle displacement matrix (D) (V) that passed through the "virtual tunnel".

Method according to Claim 7, characterized in that the method is repeated for all vehicles (V) passing through the virtual tunnel and by the number of ees equivalent to the number of traffic monitoring cells ( CEU, CELB, ... CEL ') existing in the vlrtua tunnel,

9, _T -M.étodo according to claim 7 is characterized in gue _t ¾to p © can méíod: ®®m ^ reading. or not, of the vehicle identification plate (V) at the entrance of the monitoring camera (CÉLA CÊLS, ... CEU),

Method according to Claim 7, characterized in that a database is generated which contains the independent displacement information (xyv) _t per vehicle as well as the images captured at the input of each cell.

Method according to claims 7 and _f, characterized in that the reading of the nameplate may comprise, in addition to the condition for the ^* andbwf or cell transition represented by the verification VVA ^S 3AB * Vvs ± ¾ of a control by comparing the identification plate with the entry of the cells (CE, CE).

12 Method according to claims 7, 10 and 11 _f c raeteii2ado by the fact that the bas data d is stored in a central processing unit (UPC).

Method according to claim 7, characterized in that it is used for (!) Detecting the validation of instantaneous velocity measurement over a monitored tory. (ii) detection of road occupancy conditions, (iv) detection of traffic incidents such as stopping at a prohibited place, passing by the roadside, traveling at a speed below the minimum limit of the road, presence of animals or other elements foreign to the via,

14 Method according to claim 7 _{»characterized} in that d be executed by a system according to the re ndicaçees 1 to 6,

Computer program »characterized in that it performs a method according to claims 7 to 13.