An intelligent interception system and toll collection method for suspicious vehicle types in ETC vehicle identification

Abstract

The application discloses an ETC vehicle identification suspicious vehicle type intelligent interception system and a toll collection method, which comprises ETC gantries arranged on expressways and vehicle type identifiers arranged on the ETC gantries, characterized in that the system further comprises a vehicle type suspicious comparison module and a road side unit (RSU) device, the RSU device is arranged on one of the ETC gantries, the vehicle type identifier and the RSU device are in communication connection with the vehicle type suspicious comparison module, vehicles on a toll lane are provided with on-board electronic tags, and the on-board electronic tags are in communication connection with the RSU device. The application can realize the purpose of reducing operation and maintenance costs without increasing the investment in identification devices and the construction difficulty under the premise of ensuring the traffic efficiency of toll stations.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of vehicle type automatic identification, and particularly relates to an ETC vehicle identification suspicious vehicle type intelligent interception system and a toll collection method. BACKGROUND

[0002] At present, the provincial boundary toll station of the expressway is about to be completely cancelled, and the charging mode of the truck is adjusted from the weight charging to the vehicle type charging. With the adjustment of the charging mode of the truck, the rate of the expressway toll is completely based on the vehicle type. For the passenger car and the ordinary truck, the vehicle type is based on the ETC issued vehicle type, and for the truck train, the container truck, the large transport truck and the tractor, the ETC gantry is charged based on the entry type judgment. Therefore, the accuracy of the vehicle type issued by the vehicle ETC and the accuracy of the entry type judgment directly affect the toll charging result.

[0003] With the increase in the number of ETC issuing agencies, the ETC issuing quality needs to be improved, and after the cancellation of the provincial boundary toll station, the entry type judgment accuracy of each province is insufficient, the maintenance of the exit weighing equipment is not in place, and the weighing result is not accurate, etc. Therefore, the toll charging result of part of the vehicles is not accurate, and the toll loss is caused.

[0004] In the prior art scheme, the vehicle type identification device and the RSU roadside unit are installed on each lane of the toll station, the data read by the two devices is used for vehicle type suspicious comparison, if there is an abnormality, the transaction is stopped, and the actual result is verified by the toll collector, and then the toll is collected. This scheme will cause the following problems: 1, each lane needs to increase the vehicle type identification and RSU roadside unit device; 2, two sets of devices need to be added, which increases the operation cost and the later maintenance cost; 3, the construction difficulty is large, and the toll station passing efficiency is affected.

[0005] Therefore, how to realize the purpose of not increasing the identification device investment and the construction difficulty while reducing the operation and maintenance cost under the premise of ensuring the passing efficiency of the toll station is an important technical problem to be solved at present. SUMMARY

[0006] In order to solve the problems in the prior art, the application provides an ETC vehicle identification suspicious vehicle type intelligent interception system and a toll collection method, which realizes the purpose of not increasing the identification device investment and the construction difficulty while reducing the operation and maintenance cost under the premise of ensuring the passing efficiency of the toll station.

[0007] The technical scheme adopted by the application to solve the above technical problems is as follows:

[0008] In a first aspect, the present invention provides an intelligent interception system for ETC vehicle identification of questionable vehicle types, comprising ETC gantries respectively arranged on highways, and vehicle type identifiers arranged on the ETC gantries, characterized in that the system further comprises a questionable vehicle type comparison module and a roadside unit (RSU) device, wherein the roadside unit (RSU) device is arranged on one of the ETC gantries, the vehicle type identifier and the roadside unit (RSU) device are respectively communicatively connected to the questionable vehicle type comparison module, and vehicles on toll lanes are equipped with on-board electronic tags, which are communicatively connected to the roadside unit (RSU) device;

[0009] The vehicle type identifier captures images of vehicles traveling on the highway to identify the vehicle types on the highway, and sends the billing vehicle type data to the vehicle type comparison module;

[0010] The roadside unit RSU device is used to read the billing vehicle model data in the on-board electronic tag of the vehicle on the highway, and send the billing vehicle model data to the doubtful vehicle model comparison module;

[0011] The doubtful vehicle type comparison module compares the vehicle type data sent by the vehicle type identifier with the billing vehicle type data sent by the roadside unit RSU device in real time. The doubtful vehicle type comparison module filters the normal vehicle type data and sends the abnormal vehicle type data to the toll collection system of each lane of the toll station, and enters the list of vehicles with doubtful models at the same time. The toll collection system of each lane obtains the vehicle pass unique identifier stored in the on-board electronic tag of the vehicle entering the exit, and queries the list of vehicles with doubtful models at the same time, and checks the two. If the result of the check is a vehicle with doubtful model, it will be intercepted and the toll collector will be prompted to conduct on-site confirmation.

[0012] As a further optimized solution of the present invention, the vehicle model data includes the number of axles, vehicle license plate and vehicle purpose.

[0013] As a further optimized solution of the present invention, the vehicle model comparison module is configured in the cloud, the list of vehicles with questionable models is stored in the cloud, and each lane toll collection system accesses the cloud to query the list of vehicles with questionable models. The vehicle model identifier is communicatively connected with the roadside unit RSU device, and the roadside unit RSU device and the vehicle model comparison module are connected via cloud communication.

[0014] As a further optimized solution of the present invention, the vehicle type comparison module includes a microprocessor unit, a register unit, a memory unit and a wireless communication unit, and the wireless communication unit is wirelessly and parallelly connected to the vehicle type identifier, the roadside unit RSU device and each lane charging system.

[0015] In a second aspect, the present invention provides an interception and charging method for an intelligent interception system for ETC vehicle identification of a suspicious vehicle type, comprising the following steps:

[0016] In the vehicle type recognition step, the vehicle type identifier captures images of vehicles traveling on the highway to identify the vehicle type and sends the vehicle type data to the vehicle type comparison module;

[0017] In the vehicle type data comparison step, the roadside unit (RSU) device reads the charging vehicle type data in the on-board electronic tag of the vehicle on the highway and sends the vehicle type data to the vehicle type comparison module. The vehicle type data obtained by the vehicle type identifier is then compared with the charging vehicle type data sent by the roadside unit (RSU). The vehicle type comparison module filters the normal vehicle type data and sends the abnormal vehicle type data to the toll collection system of each lane of the toll station.

[0018] To intercept vehicles of questionable models, the toll collection system of each lane simultaneously enters the abnormal model data into the list of vehicles of questionable models; each lane toll collection system obtains the vehicle access unique identifier stored in the onboard electronic tag of the vehicle entering or exiting, and queries the list of vehicles of questionable models for data verification. If the vehicle access unique identifier is on the list of vehicles of questionable models, the lane toll collection system of the corresponding lane suspends the transaction and intercepts the vehicle;

[0019] The charging confirmation steps for vehicles with questionable models are as follows: after the lane toll collection system intercepts a vehicle with questionable models, it will remind the toll collector to confirm the model and axle number information of the vehicle with questionable models. The toll collector will then revise the model and axle number information based on the actual situation and charge again based on the revised model and axle number information.

[0020] As a further optimized solution of the present invention, the specific comparison process of the data comparison processing is: the vehicle type identifier on the ETC gantry analyzes and processes the vehicle image to obtain the identification vehicle type data, and the roadside unit RSU device reads the billing vehicle type data in the on-board electronic tag, and sends the identification vehicle type data and the billing vehicle type data to the vehicle type comparison module for analysis and comparison. If there is any inconsistency between the two vehicle type data, the abnormal vehicle type data will be sent to the toll collection system of each lane of the toll station.

[0021] As a further optimized solution of the present invention, the specific verification process of the data verification is: after the lane toll collection system receives the abnormal vehicle model data sent by the suspicious vehicle model comparison module, it converts it into list data and stores it in the list of vehicles with suspicious models in the lane toll collection system; when a vehicle passes through the toll lane of the toll station, each lane toll collection system respectively obtains the vehicle pass unique identifier stored in the on-board electronic tag of the vehicle entering and exiting, and at the same time queries the list of vehicles with suspicious models, and verifies the two. If the vehicle pass unique identifier is in the list of vehicles with suspicious models, it is considered that there is an inconsistency between the vehicle identification model and the billing model. At this time, the lane toll collection system suspends the transaction of this vehicle and prompts that this vehicle is suspicious on the display interface of the lane toll collection system.

[0022] As a further optimized solution of the present invention, in the charge confirmation step of the doubtful vehicle model, if the model and axle number information of the intercepted doubtful vehicle model are incorrect compared with the actual situation, the toll collector will revise the model and axle number information of the vehicle on the spot, and then feed back the correct model and axle number information to the doubtful vehicle model comparison module, and supplement and update the correct data of the corresponding vehicle in the doubtful vehicle model list.

[0023] As a further optimized solution of the present invention, in the doubtful vehicle model toll confirmation step, if the model and axle number information of the intercepted doubtful vehicle are correct compared with the actual situation, the toll collector will release the vehicle on the spot and feedback to the doubtful vehicle model comparison module to delete the corresponding vehicle data from the doubtful vehicle model list.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. This invention utilizes the RSU roadside unit (RSU) on the ETC gantry system, requiring only the addition of a vehicle type identification device. The suspicious vehicle data comparison system is hosted in the cloud, with data transmitted to the lane toll collection system, reducing client operational pressure. The lane toll collection system automatically intercepts suspicious vehicles, eliminating the need for individual vehicle comparisons.

[0026] 2. The vehicle model doubtful comparison system of the present invention compares the identified vehicle model data with the vehicle model data read into the transaction card by the gantry in real time. Normal data will be filtered out, and abnormal vehicle model data will be sent to the toll lane system of each toll station. The lane system obtains the vehicle pass unique identifier in the passage medium for the vehicle entering the exit, and queries the list of vehicles with doubtful models. If it is found that the vehicle model is doubtful this time, the toll gate will intercept and remind the toll collector "The vehicle model is in doubt, please confirm". The toll collector is required to confirm the vehicle model and axle number information. The toll collector will revise the vehicle model information according to the actual situation, and re-call the online billing platform with the revised vehicle model information to bill again, so as to avoid the loss of tolls, thereby achieving the purpose of "plugging leaks and increasing revenue", and also providing a technical means of auxiliary inspection for highway staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0028] Figure 1 This is a schematic diagram of the composition of the intelligent interception system for questionable vehicle types disclosed in Example 1 of the present invention;

[0029] Figure 2 This is a flowchart of the interception charging method disclosed in Example 2 of the present invention.

[0030] The reference numbers in the figure are: 1. ETC gantry; 2. Roadside unit RSU equipment; 3. Vehicle type identifier; 4. Vehicle; 5. On-board electronic tag; 6. Lane toll collection system; 7. Vehicle type comparison module. DETAILED DESCRIPTION

[0031] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0032] Example 1:

[0033] like Figure 1 As shown, this embodiment discloses an intelligent interception system for suspicious vehicle models for ETC vehicle identification, including ETC gantries 1 respectively arranged on highways, and vehicle model identifiers 3 arranged on the ETC gantries 1. The intelligent interception system for suspicious vehicle models also includes a suspicious vehicle model comparison module 7 and a roadside unit RSU device 2. The roadside unit RSU device 2 is arranged on one of the ETC gantries 1. The vehicle model identifier 3 and the roadside unit RSU device 2 are respectively communicated with the suspicious vehicle model comparison module 7. Vehicles on the toll lanes are equipped with on-board electronic tags 5, which are communicated with the roadside unit RSU device 2.

[0034] The vehicle type identifier 3 captures images of vehicles traveling on the highway to identify the vehicle type of the vehicle 4 on the highway, and sends the billing vehicle type data to the vehicle type comparison module 7; the roadside unit RSU device 2 is used to read the billing vehicle type data in the on-board electronic tag 5 of the vehicle on the highway, and send the billing vehicle type data to the vehicle type comparison module 7; the vehicle type comparison module 7 compares the vehicle type data sent by the vehicle type identifier 3 with the billing vehicle type data sent by the roadside unit RSU device 2 in real time. The vehicle type data includes the number of axles, vehicle license plate and vehicle purpose.

[0035] The vehicle type comparison module 7 filters the normal vehicle type data and sends the abnormal vehicle type data to the toll collection system 6 of each lane of the toll station, and enters the list of vehicles with suspicious models. The toll collection system 6 of each lane respectively obtains the vehicle pass unique identifier stored in the on-board electronic tag 5 of the vehicle entering the exit, and queries the list of vehicles with suspicious models at the same time, and checks the two. If the verification result is a vehicle with suspicious models, it will be intercepted and the toll collector will be prompted to conduct on-site confirmation.

[0036] The vehicle type comparison module 7 includes a microprocessor unit, a register unit, a memory unit and a wireless communication unit. The wireless communication unit is wirelessly and parallelly connected to the vehicle type identifier 3, the roadside unit RSU device 2 and each lane charging system 6.

[0037] In addition, the vehicle model comparison module 7 can also be configured in the cloud, and the list of vehicles with questionable models is stored in the cloud. Each lane toll collection system 6 accesses the cloud to query the list of vehicles with questionable models. The vehicle model identifier 3 is communicated with the roadside unit RSU device 2, and the roadside unit RSU device 2 and the vehicle model comparison module 7 are connected by cloud communication.

[0038] Example 2:

[0039] like Figure 2 As shown, the present invention provides an interception and charging method of an intelligent interception system for ETC vehicle identification with a suspicious vehicle model, comprising the following steps:

[0040] In the vehicle type recognition step, the vehicle type identifier 3 captures images of vehicles traveling on the highway to identify the vehicle type and sends the vehicle type data to the vehicle type comparison module 7;

[0041] In the vehicle type data comparison step, the roadside unit (RSU) device 2 reads the charging vehicle type data in the on-board electronic tag 5 of the vehicle on the highway and sends the vehicle type data to the suspicious vehicle type comparison module 7. The vehicle type data obtained by the vehicle type identifier 3 is then compared with the charging vehicle type data sent by the roadside unit (RSU) device 2. The suspicious vehicle type comparison module 7 filters the normal vehicle type data and sends the abnormal vehicle type data to the toll collection system 6 of each lane of the toll station;

[0042] In the step of intercepting a vehicle of questionable model, the toll collection system 6 of each lane simultaneously enters the abnormal model data into the list of vehicles of questionable model; the toll collection system 6 of each lane respectively obtains the vehicle pass unique identifier stored in the onboard electronic tag 5 of the vehicle entering the exit, and queries the list of vehicles of questionable model for data verification. If the vehicle pass unique identifier is on the list of vehicles of questionable model, the lane toll collection system 6 of the corresponding lane suspends the transaction and intercepts the vehicle;

[0043] The charging confirmation step for vehicles with questionable models is that after the lane toll collection system 6 intercepts a vehicle with questionable models, it reminds the toll collector to confirm the model and axle number information of the vehicle with questionable models. The toll collector will change the model and axle number information according to the actual situation and charge again according to the changed model and axle number information.

[0044] If the model and axle number information of the intercepted suspicious vehicle are correct compared with the actual situation, the toll collector will release the vehicle on the spot and feedback to the suspicious vehicle comparison module 7 to delete the corresponding vehicle data from the list of suspicious vehicles.

[0045] In addition, if the model and axle number information of the intercepted vehicle are incorrect compared with the actual situation, the toll collector will change the model and axle number information of the vehicle on the spot, and then feed back the correct model and axle number information to the model comparison module 7, and supplement and update the correct data of the corresponding vehicle 4 in the list of vehicles with questionable models.

[0046] In this embodiment, the specific comparison process of data comparison processing is: the vehicle type identifier 3 on the ETC gantry 1 analyzes and processes the vehicle image to obtain the identification vehicle type data, and the roadside unit RSU device 2 reads the billing vehicle type data in the on-board electronic tag 5, and sends the identification vehicle type data and the billing vehicle type data to the vehicle type comparison module 7 for analysis and comparison. If there is any inconsistency between the two vehicle type data, the abnormal vehicle type data will be sent to the toll collection system 6 of each lane of the toll station.

[0047] Among them, the specific verification process of data verification is: after the lane toll collection system 6 receives the abnormal vehicle model data sent by the suspicious vehicle model comparison module 7, it converts it into list data and stores it in the list of vehicles with suspicious models in the lane toll collection system 6; when the vehicle 4 passes through the toll lane of the toll station, each lane toll collection system 6 respectively obtains the vehicle pass unique identifier stored in the on-board electronic tag 5 of the vehicle entering and exiting, and at the same time queries the list of vehicles with suspicious models, and verifies the two. If the vehicle pass unique identifier is in the list of vehicles with suspicious models, it is considered that there is an inconsistency between the vehicle identification model and the billing model. At this time, the lane toll collection system 6 suspends the transaction of this vehicle and prompts that this vehicle is suspicious on the display interface of the lane toll collection system 6.

[0048] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An intelligent interception system for ETC vehicle identification of suspicious vehicle types, comprising an ETC gantry (1) respectively arranged on an expressway, and a vehicle type identifier (3) arranged on the ETC gantry (1), characterized in that: The system further comprises a vehicle type comparison module (7) and a roadside unit RSU device (2), wherein the roadside unit RSU device (2) is arranged on one of the ETC gantries (1), the vehicle type identifier (3) and the roadside unit RSU device (2) are respectively connected in communication with the vehicle type comparison module (7), and the vehicle on the toll lane is equipped with an onboard electronic tag (5), which is connected in communication with the roadside unit RSU device (2); The vehicle type identifier (3) captures images of vehicles traveling on the highway to identify the vehicle type (4) on the highway, and sends the charging vehicle type data to the vehicle type comparison module (7); The roadside unit RSU device (2) is used to read the charging vehicle model data in the vehicle-mounted electronic tag (5) of the vehicle on the highway, and send the charging vehicle model data to the vehicle model comparison module (7); the vehicle model data includes the number of axles, vehicle license plate and vehicle purpose; The vehicle type doubt comparison module (7) performs data comparison processing on the vehicle type data sent by the vehicle type identifier (3) and the charging vehicle type data sent by the roadside unit RSU device (2) in real time. The vehicle type doubt comparison module (7) filters the normal vehicle type data and sends the abnormal vehicle type data to the toll collection system (6) of each lane of the toll station, and simultaneously enters the list of vehicles with doubtful vehicle types. The toll collection system (6) of each lane respectively obtains the vehicle pass unique identifier stored in the on-board electronic tag (5) of the vehicle entering the exit, and simultaneously queries the list of vehicles with doubtful vehicle types and compares the two. If the verification result shows that the vehicle type is doubtful, the vehicle is intercepted and the toll collector is prompted to conduct on-site confirmation.

2. The ETC vehicle identification and suspicious vehicle intelligent interception system according to claim 1 is characterized in that: The vehicle type comparison module (7) is configured in the cloud, and a list of vehicles with questionable vehicle types is stored in the cloud. Each lane toll collection system (6) accesses the cloud to query the list of vehicles with questionable vehicle types. The vehicle type identifier (3) is in communication connection with the roadside unit RSU device (2), and the roadside unit RSU device (2) and the vehicle type comparison module (7) are in cloud communication connection.

3. The intelligent interception system for ETC vehicle identification of suspicious vehicle types according to claim 1 is characterized in that: The vehicle type comparison module (7) includes a microprocessor unit, a register unit, a memory unit and a wireless communication unit, wherein the wireless communication unit is respectively connected to the vehicle type identifier (3), the roadside unit RSU device (2) and each lane charging system (6) in wireless parallel communication.

4. An interception and charging method for an intelligent interception system for ETC vehicle identification with a suspicious vehicle type according to any one of claims 1 to 3, characterized in that: The following steps are involved: In a vehicle type recognition step, the vehicle type identifier (3) captures images of vehicles traveling on the highway to identify the vehicle type and sends the vehicle type data to a vehicle type comparison module (7); In the vehicle type data comparison step, the roadside unit RSU device (2) reads the charging vehicle type data in the vehicle-mounted electronic tag (5) of the vehicle on the highway, and sends the vehicle type data to the vehicle type comparison module (7). The vehicle type data obtained by the vehicle type identifier (3) is then compared with the charging vehicle type data sent by the roadside unit RSU device (2). The vehicle type comparison module (7) filters the normal vehicle type data and sends the abnormal vehicle type data to the toll collection system (6) of each lane of the toll station. In the step of intercepting a vehicle of questionable model, each lane toll collection system (6) simultaneously enters the abnormal model data into the list of vehicles of questionable model; each lane toll collection system (6) respectively obtains the vehicle pass unique identifier stored in the vehicle-mounted electronic tag (5) of the vehicle entering the exit (4), and queries the list of vehicles of questionable model to verify the data; if the vehicle pass unique identifier is on the list of vehicles of questionable model, the lane toll collection system (6) of the corresponding lane suspends the transaction and intercepts the vehicle; The toll collection step for the vehicle with questionable model is as follows: after the lane toll collection system (6) intercepts the vehicle with questionable model, it reminds the toll collector to confirm the model and axle number information of the vehicle with questionable model. The toll collector will then change the model and axle number information according to the actual situation and charge again according to the changed model and axle number information.

5. The interception charging method according to claim 4, characterized in that: The specific comparison process of the data comparison processing is as follows: the vehicle type identifier (3) on the ETC gantry (1) analyzes and processes the vehicle image to obtain the identification vehicle type data, the roadside unit RSU device (2) reads the billing vehicle type data in the vehicle-mounted electronic tag (5), and sends the identification vehicle type data and the billing vehicle type data to the vehicle type comparison module (7) for analysis and comparison. If there is any inconsistency between the two vehicle type data, the abnormal vehicle type data is sent to the toll collection system (6) of each lane of the toll station.

6. The interception charging method according to claim 5, characterized in that: The specific verification process of the data verification is as follows: after the lane toll collection system (6) receives the abnormal vehicle model data sent by the vehicle model doubtful comparison module (7), it converts the data into a list and stores it in the vehicle model doubtful vehicle list in the lane toll collection system (6); When a vehicle (4) passes through a toll lane of a toll station, each lane toll collection system (6) obtains the vehicle pass unique identifier stored in the vehicle-mounted electronic tag (5) of the vehicle entering the exit (4), and simultaneously queries the list of vehicles with questionable models, and compares the two. If the vehicle pass unique identifier is in the list of vehicles with questionable models, it is considered that there is a discrepancy between the vehicle identification model and the billing model. At this time, the lane toll collection system (6) suspends the vehicle transaction and prompts the display interface of the lane toll collection system (6) that the vehicle is questionable.

7. The interception charging method according to claim 4, characterized in that: In the doubtful vehicle model toll confirmation step, if the model and axle number information of the intercepted doubtful vehicle are incorrect compared with the actual situation, the toll collector will correct the model and axle number information of the vehicle on the spot, and then feed back the correct model and axle number information to the doubtful vehicle model comparison module (7), and supplement and update the correct data of the corresponding vehicle in the doubtful vehicle model list.

8. The interception charging method according to claim 4, characterized in that: In the step of confirming the charge of the suspected vehicle model, if the model and axle number information of the intercepted suspected vehicle model are correct compared with the actual situation, the toll collector will release the vehicle on the spot and feedback to the suspected vehicle model comparison module (7) to delete the corresponding vehicle data from the list of suspected vehicles.

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