CN219303146U - Vehicle type abnormality detection system for expressway exit toll station - Google Patents
Vehicle type abnormality detection system for expressway exit toll station Download PDFInfo
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- CN219303146U CN219303146U CN202122039346.0U CN202122039346U CN219303146U CN 219303146 U CN219303146 U CN 219303146U CN 202122039346 U CN202122039346 U CN 202122039346U CN 219303146 U CN219303146 U CN 219303146U
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Abstract
The application provides a motorcycle type anomaly detection system for highway exit toll station, the system includes: the road side unit is used for acquiring first vehicle type information from the electronic passing medium of the vehicle; the vehicle type detection device is positioned in the lane pavement and is used for determining second vehicle type information of the vehicle according to the pressure signal detected when the vehicle passes over the lane pavement; and the data information processing device is electrically connected with the road side unit and the vehicle type detection device respectively and is used for receiving and comparing whether the first vehicle type information is consistent with the second vehicle type information or not and judging that the vehicle type detection of the vehicle is abnormal when the first vehicle type information is inconsistent with the second vehicle type information. The system can improve the accuracy of the detected second vehicle type information, thereby improving the accuracy of abnormal detection of the vehicle type and reducing the probability of missing payment events.
Description
Technical Field
The application belongs to the technical field of vehicle detection, and particularly relates to a vehicle type abnormality detection system for a highway exit toll station.
Background
With the change of the high-speed charging mode, an electronic toll collection system (electronic toll collection, ETC) is currently adopted to calculate and deduct the vehicle passing fee according to the vehicle type recorded in an On Board Unit (OBU), but if the vehicle type recorded in the OBU is not consistent with the actually running vehicle type, a missing payment event occurs.
In order to avoid missing payment, the traditional technology generally adopts a camera to capture and identify the actual running vehicle pictures so as to determine the number of axles and the type of the vehicle, or adopts a laser sensor to scan the outline of the actual running vehicle so as to determine the type of the vehicle; and then determining whether the vehicle is an abnormal vehicle type according to the determined vehicle type.
However, under the condition that the interference of external factors is large, such as abnormal light, rain and snow weather or shielding of foreign matters, the detection accuracy of the type of the vehicle in the traditional technology is low, and then the detection accuracy of the abnormal vehicle type is also low.
Disclosure of Invention
The application provides a motorcycle type anomaly detection system for expressway exit toll station, which can improve the accuracy of vehicle type detection and further improve the detection accuracy of abnormal motorcycle types.
The application provides a motorcycle type anomaly detection system for highway exit toll station, the system includes:
the road side unit is used for acquiring first vehicle type information from the electronic passing medium of the vehicle;
the vehicle type detection device is positioned in the lane pavement and is used for determining second vehicle type information of the vehicle according to the pressure signal detected when the vehicle passes over the lane pavement; and
and the data information processing device is electrically connected with the road side unit and the vehicle type detection device respectively and is used for receiving and comparing whether the first vehicle type information is consistent with the second vehicle type information or not and judging that the vehicle type detection of the vehicle is abnormal when the first vehicle type information is inconsistent with the second vehicle type information.
According to the vehicle type abnormality detection system for the expressway exit toll station, the second vehicle type information of the passing vehicle is detected through the vehicle type detection device paved in the lane road surface, the actual vehicle type can be obtained as long as the vehicle passes, and the actual vehicle type is compared with the vehicle type in the electronic passing medium to determine the abnormal vehicle. Compared with the camera photographing or laser sensor scanning technology of the traditional technology, the vehicle type detection device in the embodiment of the application is not easy to be influenced by external environment factors, so that the accuracy of the detected second vehicle type information can be improved, the accuracy of abnormal detection of the vehicle type is correspondingly improved, and the probability of missing payment events is reduced.
In one possible implementation manner, the vehicle type detection device includes at least one set of road surface sensors, and each set of road surface sensors is disposed in one lane.
In the implementation manner, each group of road surface sensors is arranged in one lane, so that the second vehicle type information of the vehicle in the lane can be effectively detected, and the accuracy of the detected second vehicle type information is improved.
In one possible implementation, the road surface sensor includes any one of a narrow strip sensor, a vibration sensor, a pressure film sensor, a quartz sensor, a bending plate sensor, and a flat plate sensor.
In one possible implementation manner, the data information processing apparatus is further configured to:
before comparing whether the first vehicle type information is consistent with the second vehicle type information, judging whether the first vehicle type information corresponds to the same vehicle with the second vehicle type information;
if yes, comparing whether the first vehicle type information is consistent with the second vehicle type information.
In the implementation manner, whether the first vehicle type information and the second vehicle type information correspond to the same vehicle is judged, and whether the first vehicle type information and the second vehicle type information are consistent is compared, so that error influence caused by mismatching of the information can be avoided, and the accuracy of vehicle anomaly detection is further improved.
In one possible implementation manner, the system further comprises a license plate recognition device, wherein the license plate recognition device is electrically connected with the data information processing device and is used for acquiring the head image information and/or the tail image information of the vehicle and recognizing second license plate information according to the acquired head image information and/or tail image information;
the road side unit is also used for acquiring first license plate information of the vehicle from the electronic passing medium;
when judging whether the first vehicle type information and the second vehicle type information correspond to the same vehicle, the data information processing device judges whether the first vehicle license information and the second vehicle license information are consistent; if so, it is determined that the first vehicle type information and the second vehicle type information correspond to the same vehicle.
In the implementation manner, whether the first vehicle type information and the second vehicle type information correspond to the same vehicle is judged through the license plate information, so that the accuracy of information matching can be improved, and the accuracy of vehicle anomaly detection is further improved.
In one possible implementation manner, the license plate recognition device includes a photographing device and/or a scanning device, where the photographing device includes any one of a snapshot camera, a panoramic camera, and a video camera.
In the implementation manner, the shooting equipment and/or the scanning equipment are used for collecting the head image information and/or the parking space image information of the vehicle so as to identify and compare the second license plate information with the first license plate information and provide a data basis for the information matching process.
In one possible implementation manner, the road side unit is further configured to determine first vehicle position information of the vehicle;
the vehicle type detection device is also used for detecting and determining second vehicle position information of the vehicle;
when judging whether the first vehicle type information and the second vehicle type information correspond to the same vehicle, the data information processing device judges whether the first vehicle position and the second vehicle position are consistent; if so, it is determined that the first vehicle type information and the second vehicle type information correspond to the same vehicle.
In the implementation manner, whether the first vehicle type information and the second vehicle type information correspond to the same vehicle is judged through the vehicle position information, so that the accuracy of information matching can be improved, and the accuracy of vehicle abnormality detection is further improved.
In one possible implementation manner, the road side unit is further configured to determine first driving track information of the vehicle;
the vehicle type detection device is also used for detecting and determining second running track information of the vehicle;
when judging whether the first vehicle type information and the second vehicle type information correspond to the same vehicle, the data information processing device judges whether the first running track information and the second running track information are consistent; if so, it is determined that the first vehicle type information and the second vehicle type information correspond to the same vehicle.
In the implementation manner, whether the first vehicle type information and the second vehicle type information correspond to the same vehicle is judged through the vehicle running track information, so that the accuracy of information matching can be improved, and the accuracy of vehicle abnormality detection is further improved.
In one possible implementation manner, the system further comprises a prompting device, wherein the prompting device is electrically connected with the data information processing device;
when the data information processing device judges that the vehicle type of the vehicle is abnormal, the prompting device generates abnormal prompting information and sends the abnormal prompting information to the information board system so as to guide the vehicle to the manual toll lane.
In the implementation manner, when the data information processing device detects that the vehicle type is abnormal, the corresponding information board system is timely notified, so that phenomena of missing payment, mispaying and the like of the toll are reduced.
In one possible implementation manner, the data information processing apparatus is further configured to send the second type information to the charge management system when it is determined that the vehicle type of the vehicle is abnormal.
In the implementation manner, when the data information processing device detects that the vehicle type is abnormal, the corresponding charging management system is timely notified, and phenomena of missing payment, mispaying and the like of the toll can be reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required for the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of a vehicle type anomaly detection system for a highway exit toll station according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a vehicle type anomaly detection system for a highway exit toll station according to an embodiment of the present application;
fig. 3 is a schematic diagram of an arrangement of a pavement sensor in a lane according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of another vehicle type anomaly detection system for a highway exit toll station according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of another vehicle type anomaly detection system for a highway exit toll station according to an embodiment of the present application;
fig. 6 is a schematic workflow diagram of a vehicle type anomaly detection system for a highway exit toll station according to an embodiment of the present application.
Reference numerals illustrate:
11: a road side unit;
12: a vehicle-mounted unit;
13: a vehicle type detection device;
14: a data information processing device;
15: license plate recognition device;
16: and a prompting device.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
In addition, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The vehicle type abnormality detection system for the expressway exit tollgate, provided by the embodiment of the application, can be applied to a scene shown in fig. 1. As shown in fig. 1, when a vehicle travels to a high-speed exit, a road side unit 11 (RSU) at the exit may perform microwave communication with an on-board unit 12 (OBU) in the vehicle, and obtain vehicle type information of the vehicle from the OBU 12 to calculate a toll rate and deduct a toll fee. For this charging mode, if the vehicle type information recorded in the OBU 12 does not match the actual vehicle type, a vehicle type identification error is caused, and a high-speed toll is missed. To solve this problem, the conventional technology generally adopts two methods: one is to collect a vehicle picture or video by means of a camera, identify a vehicle type based on the picture or video, and the other is to scan the vehicle contour by a plurality of laser sensors to judge the vehicle type; the vehicle type is then compared to the vehicle model recorded in the OBU 12 to determine an abnormal vehicle model. However, when the type of the vehicle is determined in the conventional technology, the quality of the image or video collected by the camera and the quality of the scanning data of the laser sensor are affected by the interference of external factors, such as abnormal light, rain, snow, weather or foreign matter shielding, so that the accuracy of the determined type of the vehicle is low, and the detection accuracy of the abnormal vehicle type is also low. The embodiment of the application provides a vehicle type abnormality detection system for a highway exit toll station, which aims to solve the technical problems.
As shown in fig. 2, the vehicle type abnormality detection system for an expressway exit toll station provided in the embodiment of the present application includes a roadside unit 11, a vehicle type detection device 13, and a data information processing device 14, the data information processing device 14 being electrically connected to the roadside unit 11 and the vehicle type detection device 13, respectively. The road side unit 11 is used for acquiring first vehicle type information from an electronic passing medium of a vehicle; the vehicle type detection means 13 is located in the road surface of the lane for determining second vehicle type information of the vehicle passing over it based on the pressure signal detected when the vehicle passes over it; the data information processing device 14 is configured to receive and compare whether the first vehicle type information and the second vehicle type information are identical, and determine that the vehicle type of the vehicle is abnormal in detection when the first vehicle type information and the second vehicle type information are not identical.
The electronic passing medium can be the vehicle-mounted unit OBU, or can be a highway composite passing card CPC, and information such as license plates, vehicle types and the like can be written in and stored; the road side unit 11 can be a phased array antenna system, and is installed on a portal at a high-speed outlet, and the road side unit 11 can be in microwave communication with an electronic traffic medium. When the vehicle travels to the high-speed exit, the roadside unit 11 may acquire first vehicle type information, which is vehicle type information recorded at the time of vehicle registration, from within the electronic passing medium of the vehicle. Further, a vehicle type detecting device 13 is laid in the road surface of the lane at the high-speed exit, and when a vehicle passes over the vehicle type detecting device 13, the vehicle type detecting device 13 can detect second vehicle type information of the vehicle passing over it, that is, actual vehicle type information of the vehicle.
In one embodiment, the vehicle type detection device 13 may include at least one set of road surface sensors, each set of road surface sensors being disposed in one lane. By way of example, assuming a highway having 3 lanes in total, 3 sets of road surface sensors may be used, each set of road surface sensors being disposed within one lane. Alternatively, the road surface sensor may include at least one of a narrow sensor, a vibration sensor, a pressure film sensor, a quartz sensor, a bent plate sensor, and a flat plate sensor; in addition, in order to simplify the process design and reduce the difficulty of data processing, only one sensor is generally included in the road surface sensor. In this embodiment, the vehicle type detection device 13 may acquire a pressure signal through a road surface sensor, and then process the acquired pressure signal to acquire data information such as the number of axles, the wheelbase, and the speed of the vehicle, so as to determine second vehicle type information of the vehicle according to the data information such as the number of axles, the wheelbase, and the speed of the vehicle.
In this embodiment, the road surface sensor is a strip sensor, and the length of the strip sensor is typically 0.9 meters (m), 1m, or 1.8m. In order to effectively avoid the vehicle from detouring, the length of each set of road surface sensors provided in the present embodiment is greater than half the width of the lane, and in addition, the length and the number of the narrow strip sensors included in each set of road surface sensors may be combined according to the width of the lane. By way of example, assuming a lane width of 3.5m, the length of each set of road sensors should be greater than 1.75m, in which case there may be a number of different combinations: for example, the set of road sensors may be a narrow strip sensor having a length of 1.8 m; for another example, the set of pavement sensors may include two narrow strip sensors of 0.9 m; as another example, the set of road sensors may include a 0.9m and a 1m narrow strip sensor, and so on; it should be noted that the set of road surface sensors may be located at a middle position of the lane, aligned with a left side edge of the lane, or aligned with a right side edge of the lane, which is not limited in the embodiment of the present application. In another example, if the road surface sensor includes a strip sensor having a total length greater than the width of the lane, the strip sensors may be staggered, such as shown in fig. 3, where the road surface sensor may be two 1.8m strip sensors, one of which is aligned with the left edge of the lane and the other with the right edge of the lane, and the two strip sensors are staggered. Therefore, under the condition that the length of each group of pavement sensors is larger than half of the width of the lane, the vehicles are effectively prevented from detouring, and no matter where the vehicles run on the lane, the second vehicle type information of the vehicles can be acquired.
Then, the roadside unit 11 and the vehicle type detection device 13 may transmit the first vehicle type information and the second vehicle type information to the data information processing device 14, respectively. The data information processing device 14 receives the first vehicle type information and the second vehicle type information, compares whether the first vehicle type information and the second vehicle type information are identical, and determines that the vehicle type detection of the vehicle is abnormal when the first vehicle type information and the second vehicle type information are not identical, or determines that the vehicle type detection of the vehicle is normal when the first vehicle type information and the second vehicle type information are identical. For example, when the first vehicle type information is a four-type truck and the second vehicle type information is a six-type truck, the first vehicle type information is inconsistent with the second vehicle type information, that is, the vehicle type registered in the electronic passing medium is inconsistent with the actually detected vehicle type, and it can be determined that the vehicle type of the vehicle is abnormal in detection. Alternatively, the data information processing apparatus 14 may be a single server, a server cluster, a client, or a computer device with data processing capability, or a platform system with an arithmetic processing chip such as digital signal processing (digital signal processing, DSP), a field programmable gate array (field programmable gate array, FPGA), a micro control unit (micro controller unit, MCU), or the like.
According to the vehicle type abnormality detection system for the expressway exit toll station, the second vehicle type information of the passing vehicle is detected through the vehicle type detection device paved in the lane road surface, the actual vehicle type can be obtained as long as the vehicle passes, and the actual vehicle type is compared with the vehicle type in the electronic passing medium to determine the abnormal vehicle. Compared with the camera photographing or laser sensor scanning technology of the traditional technology, the vehicle type detection device in the embodiment of the application is not easy to be influenced by external environment factors, so that the accuracy of the detected second vehicle type information can be improved, the accuracy of abnormal detection of the vehicle type is correspondingly improved, and the probability of missing payment events is reduced.
In one embodiment, to further improve the accuracy of the vehicle anomaly detection, the data information processing apparatus 14 may determine whether the first vehicle type information and the second vehicle type information correspond to the same vehicle, and compare whether the first vehicle type information and the second vehicle type information are consistent when it is determined that the first vehicle type information and the second vehicle type information correspond to the same vehicle, so as to avoid the error effect caused by mismatching of the information. For example, when the information does not match, it may be determined that the vehicle type is abnormal in detection, and it is necessary to guide the vehicle to a manual detection lane for manual verification, resulting in an increase in labor cost. For another example, when the vehicle type recorded in the OBU of the vehicle a does not match the actual vehicle type of the vehicle B, but matches the actual vehicle type of the vehicle B adjacent thereto, when the vehicle type abnormality detection is performed for the vehicle a, the vehicle type recorded in the OBU of the vehicle a may be compared with the actual vehicle type of the vehicle B, thereby recognizing the vehicle a as a normal vehicle, resulting in a missed fee.
In this embodiment, by first determining whether the first vehicle type information and the second vehicle type information correspond to the same vehicle, the occurrence of the above situation can be effectively avoided. In general, it is possible to determine whether the first vehicle type information and the second vehicle type information correspond to the same vehicle by data fusion of the vehicle information acquired from the OBU with the actual vehicle information. Wherein the vehicle information may include a vehicle image, a position, a moving track, and the like.
In one implementation, the data information processing device 14 may determine whether the first vehicle type information and the second vehicle type information correspond to the same vehicle according to the collected second vehicle type information of the vehicle and the first vehicle type information acquired from the OBU. Specifically, as shown in fig. 4, the vehicle type anomaly detection system for the expressway exit toll station may further include a license plate recognition device 15, wherein the license plate recognition device 15 is electrically connected with the data information processing device 14, the license plate recognition device 15 may be a snapshot camera, a panoramic camera and a video camera, and other photographing devices and scanning devices, image information of the vehicle may be collected through the license plate recognition device 15, and second license plate information, that is, actual license plate information of the vehicle, may be recognized according to the collected image information. Alternatively, the number of license plate recognition devices 15 may be one or more (fig. 4 illustrates one license plate recognition device 15 as an example), and when there are a plurality of license plate recognition devices 15, one lane may correspond to at least one license plate recognition device 15.
Alternatively, the license plate recognition device 15 may recognize the image information by using a method based on image pixel analysis, for example, an optical character recognition (optical character recognition, OCR) technique, to obtain the second license plate information; the method of deep learning can also be adopted, for example, a target detection model (such as a model of fast R-CNN, SSD or YOLO) is adopted to identify the image information, so as to obtain the second license plate information, and meanwhile, the accuracy of license plate identification is improved. It will be appreciated that to obtain second vehicle license plate information for a vehicle, the image information should include at least one of head image information and tail image information such that the second vehicle license plate information is identified based on the obtained head image information and/or tail image information. In addition, the license plate recognition device 15 can collect the side image of the vehicle, the video information of the vehicle and the like, and store the side image of the vehicle and the video information of the vehicle as the evidence of the subsequent manual verification.
In addition, the road side unit 11 may also acquire the first license plate information of the vehicle, that is, the license plate information recorded during the registration of the vehicle, from the electronic traffic medium. Then, the roadside unit 11 and the license plate recognition device 15 transmit the first license plate information and the second license plate information to the data information processing device 14, respectively. In order to improve the accuracy of the abnormal detection of the vehicle type, the data information processing device 14 first determines whether the first vehicle-plate information and the second vehicle-plate information are consistent, if so, determines that the first vehicle-plate information and the second vehicle-plate information correspond to the same vehicle, and then compares whether the first vehicle-plate information and the second vehicle-plate information are consistent.
In another possible implementation, the data information processing device 14 may determine whether the first vehicle type information and the second vehicle type information correspond to the same vehicle based on the position information of the vehicle. Specifically, the roadside unit 11 may locate the vehicle when communicating with an electronic traffic medium of the vehicle, and obtain the first vehicle position information. The angle measurement can be carried out on the OBU incoming wave direction, and the OBU incoming wave direction is mapped into two-dimensional coordinates in a lane based on a lane geometric model, so that the position information of the vehicle is determined. When the vehicle is detected to pass, the vehicle type detection device 13 triggers the road surface sensor to generate and output a pressure signal, and further determines second vehicle position information of the vehicle according to the position of the road surface sensor generating the pressure signal in the two-dimensional coordinates of the lane and the current speed of the vehicle. Then, the roadside unit 11 and the vehicle type detection device 13 transmit the first vehicle position information and the second vehicle position information to the data information processing device 14, respectively. The data information processing device 14 determines whether the first vehicle position information and the second vehicle position information are identical, and if so, determines that the first vehicle type information and the second vehicle type information correspond to the same vehicle, and further compares whether the first vehicle type information and the second vehicle type information are identical.
Alternatively, the data information processing device 14 determines that the first vehicle position information and the second vehicle position information agree if the difference in position between the first vehicle position information and the second vehicle position information is within the first preset range when determining whether the first vehicle position information and the second vehicle position information agree. In the actual matching process, the head positions are generally selected for comparison, and when the difference value between the obtained head positions is not more than half of the length of the vehicle body, the first vehicle position information is considered to be matched with the second vehicle position information, namely, the first vehicle position information and the second vehicle position information correspond to the same vehicle. In an ideal state, the position difference between the first vehicle position information and the second vehicle position information should be approximately 0, but a certain position difference exists between the calculated first vehicle position information and the calculated second vehicle position information due to the influence of equipment such as acquisition time, precision and environmental factors. Preferably, the maximum value of the first preset range may be set in a range of 1m to 1.5m, for example, the first preset range may be set to (0, 1.5 m).
In still another possible manner, the data information processing device 14 may determine whether the first vehicle type information and the second vehicle type information correspond to the same vehicle based on the travel track information of the vehicle. Specifically, the above-described roadside unit 11 may acquire travel track information of an electronic passing medium as first travel track information when communicating with the electronic passing medium of the vehicle. When the vehicle type detection device 13 detects that the vehicle passes, the position information of the passing vehicle type detection device 13 may be acquired to form one piece of track information as the second traveling track information of the vehicle. The roadside unit 11 and the vehicle type detection device 13 then transmit the first travel locus information and the second travel locus information to the data information processing device 14, respectively. The data information processing device 14 first determines whether the first travel track information and the second travel track information match, and if so, determines that the first vehicle type information and the second vehicle type information correspond to the same vehicle, and compares whether the first vehicle type information and the second vehicle type information match.
Alternatively, the data information processing device 14 determines that the first travel locus information and the second travel locus information are identical if the locus difference of the first travel locus information and the second travel locus information is within the second preset range when determining whether the first travel locus information and the second travel locus information are identical. In this embodiment, when comparing the first travel track information and the second travel track information, it is substantially that each vehicle position information constituting the travel track is compared, and then the track difference range of the first travel track information and the second travel track information is confirmed, and by comparing with the second preset range, it is determined whether the first travel track information and the second travel track information correspond to the same vehicle. The maximum value range of the second preset range may be the same as or different from the maximum value range of the first preset range.
The data information processing device 14 may determine whether the first vehicle type information and the second vehicle type information correspond to the same vehicle by at least one of determining whether the first vehicle information and the second vehicle information are identical, determining whether the first vehicle position and the second vehicle position are identical, and determining whether the first travel track information and the second travel track information are identical. Preferably, whether the first vehicle type information and the second vehicle type information correspond to the same vehicle may be determined by preferentially determining whether the first vehicle type information and the second vehicle type information are consistent, and when the license plate information is unable to obtain the determination result, for example, the license plate recognition device 15 collects an image with a blur, so that the second vehicle type information cannot be recognized, then determining whether the first vehicle position and the second vehicle position are consistent, or whether the first driving track information and the second driving track information are consistent, is further determined.
According to the vehicle type abnormality detection system for the expressway exit toll station, the data information processing device firstly judges whether the first vehicle type information and the second vehicle type information correspond to the same vehicle or not, and then compares whether the first vehicle type information and the second vehicle type information are consistent or not, so that error influence caused by mismatching of the information can be avoided greatly, and accuracy of vehicle type abnormality detection is further improved.
In one embodiment, as shown in fig. 5, the system for detecting abnormal vehicles at the toll gate of the expressway further includes a prompt device 16, and when the data information processing device 14 determines that the vehicles are abnormal, an abnormal command may be sent to the prompt device 16, and the prompt device 16 generates abnormal prompt information and sends the abnormal prompt information to the information board system at the toll gate, so as to prompt the vehicles to check the vehicles and the tolls in the artificial lanes. Alternatively, the abnormal prompt information may be a text prompt information, and in addition, a voice prompt information may be added to draw the attention of the driver.
In one embodiment, the data information processing device 14 may further send the actually detected second type information to the high-speed charge management system for manual verification when it is determined that the vehicle type of the vehicle is abnormal.
In addition, for the overload problem, at present, random spot check is usually performed on vehicles at a high-speed exit, but this approach may cause a series of problems, for example, because the exit spot check needs to guide the vehicles to be spot checked to a weighing detection lane for detection, if spot check is performed on most vehicles, the passing efficiency is seriously affected, the toll station is jammed, and if random spot check is performed, the proportion of abnormal vehicles is detected to be too low, and the spot check meaning is lost. In order to solve the problem, the vehicle weight can be obtained through the vehicle type detection device (for example, the road surface sensor can measure the axle weight of the vehicle, and the axle weight is used for calculating the weight of the vehicle), so that the vehicle type is combined to judge whether overload exists, and meanwhile, the vehicle with the suspected overload is subjected to early warning for workers, so that the spot check detection efficiency is improved.
According to the vehicle type abnormality detection system for the expressway exit tollgate, when the data information processing device detects that the vehicle type is abnormal, the corresponding information board system and the high-speed tollgate management system are timely notified, so that phenomena of missing payment, mispaying and the like of the toll are reduced.
In connection with the vehicle type abnormality detection system for the expressway exit toll station in the above-described embodiment, the following describes the operation flow of the system, referring to fig. 6, after the vehicle enters the detection area, the operation flow of the system may include:
s101, a road side unit acquires first vehicle type information of a vehicle, and a vehicle type detection device detects second vehicle type information of the vehicle.
S102, the data information processing device receives the first vehicle type information and the second vehicle type information.
S103, the data information processing device judges whether the first vehicle type information and the second vehicle type information correspond to the same vehicle, if yes, S104 is executed, and if no, S108 is executed.
The method for determining whether the first vehicle type information and the second vehicle type information correspond to the same vehicle may be referred to the description of the above embodiments, and will not be repeated here.
S104, the data information processing device compares whether the first vehicle type information and the second vehicle type information are consistent, if yes, S105 is executed, and if no, S106 is executed.
S105, the data information processing device judges that the vehicle type detection of the vehicle is normal, and normal charging is carried out.
S106, the data information processing device judges that the vehicle type detection of the vehicle is abnormal.
S107, the prompting device generates abnormal prompting information and sends the abnormal prompting information to the information board system so as to prompt manual verification.
S108, ending the current detection process.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (8)
1. A vehicle type abnormality detection system for an expressway exit tollgate, characterized by comprising:
the road side unit is used for acquiring first vehicle type information from the electronic passing medium of the vehicle;
the vehicle type detection device is positioned in a lane pavement at the outlet of the expressway and is used for determining second vehicle type information of the vehicle according to a pressure signal detected when the vehicle passes over the vehicle type detection device; and
the data information processing device is electrically connected with the road side unit and the vehicle type detection device respectively and is used for receiving and comparing whether the first vehicle type information is consistent with the second vehicle type information or not and judging that the vehicle type detection of the vehicle is abnormal when the first vehicle type information is inconsistent with the second vehicle type information;
the vehicle type detection device comprises a pavement sensor, wherein the pavement sensor comprises any one of a narrow strip sensor, a vibration sensor, a pressure film sensor, a quartz type sensor, a bending plate type sensor and a flat plate type sensor.
2. The system of claim 1, wherein said vehicle type detection device includes at least one set of road surface sensors, each set of said road surface sensors being disposed within a lane.
3. The system of claim 1, wherein the data information processing device is further configured to:
before comparing whether the first vehicle type information and the second vehicle type information are consistent, judging whether the first vehicle type information and the second vehicle type information correspond to the same vehicle;
if yes, comparing whether the first vehicle type information is consistent with the second vehicle type information.
4. A system according to claim 3, further comprising a license plate recognition device electrically connected to the data information processing device for acquiring the head image information and/or the tail image information of the vehicle and recognizing second license plate information based on the acquired head image information and/or the tail image information;
the road side unit is further used for acquiring first license plate information of the vehicle from the electronic passing medium;
the data information processing device judges whether the first vehicle-board information and the second vehicle-board information are consistent when judging whether the first vehicle-type information and the second vehicle-type information correspond to the same vehicle; if yes, the first vehicle type information and the second vehicle type information are judged to correspond to the same vehicle.
5. The system of claim 4, wherein the license plate recognition device comprises a capture device and/or a scanning device, the capture device comprising any one of a snap camera, a panoramic camera, and a video camera.
6. The system of claim 3, wherein the roadside unit is further configured to determine first vehicle location information for the vehicle;
the vehicle type detection device is also used for detecting and determining second vehicle position information of the vehicle;
the data information processing device determines whether the first vehicle position and the second vehicle position are identical when determining whether the first vehicle type information and the second vehicle type information correspond to the same vehicle; if yes, the first vehicle type information and the second vehicle type information are judged to correspond to the same vehicle.
7. The system of any of claims 1-6, further comprising a prompting device electrically connected to the data information processing device;
when the data information processing device judges that the vehicle type of the vehicle detects abnormality, the prompting device generates abnormality prompting information and sends the abnormality prompting information to the information board system so as to guide the vehicle to a manual toll collection lane.
8. The system according to claim 7, wherein the data information processing device is further configured to send the second vehicle type information to a charge management system when it is determined that the vehicle type of the vehicle is abnormal.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202122039346.0U CN219303146U (en) | 2021-08-26 | 2021-08-26 | Vehicle type abnormality detection system for expressway exit toll station |
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|---|---|---|---|
| CN202122039346.0U CN219303146U (en) | 2021-08-26 | 2021-08-26 | Vehicle type abnormality detection system for expressway exit toll station |
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| CN219303146U true CN219303146U (en) | 2023-07-04 |
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