CN117912252A - Special vehicle guiding system based on expressway toll station - Google Patents
Special vehicle guiding system based on expressway toll station Download PDFInfo
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- CN117912252A CN117912252A CN202410113185.0A CN202410113185A CN117912252A CN 117912252 A CN117912252 A CN 117912252A CN 202410113185 A CN202410113185 A CN 202410113185A CN 117912252 A CN117912252 A CN 117912252A
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- 238000012545 processing Methods 0.000 claims description 14
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- 238000004891 communication Methods 0.000 claims description 8
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B15/00—Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points
- G07B15/06—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
- G07B15/063—Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems using wireless information transmission between the vehicle and a fixed station
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
- G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Devices For Checking Fares Or Tickets At Control Points (AREA)
Abstract
The invention discloses a special vehicle guiding system based on a highway toll station, which comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring license plate data information or ETC data information of vehicles to enter the toll station and generating temporary vehicle data; the transmission module is used for uploading the data acquired by the acquisition module to the processor for identification and judgment; the processor compares the temporary vehicle data with big data through the charging intranet, judges the abnormal state of the vehicle, does not process if the temporary vehicle data are normal, and judges the abnormal type if the temporary vehicle data are abnormal; the alarm module is used for sending out alarm signals when abnormal vehicles appear and setting different alarm forms according to the abnormal types; the guiding module is used for guiding the vehicle behind the abnormal vehicle to run according to the abnormal state of the vehicle and combining the road condition information at the toll station; the invention solves the technical problem that the vehicle state charging system can not be acquired in advance, and abnormal vehicles can only be found in the transaction process, so that the normal vehicles can not pass.
Description
Technical Field
The invention relates to the technical field of traffic information processing, in particular to a special vehicle guiding system based on a highway toll station.
Background
Expressway toll stations are facilities for collecting toll fees for passing vehicles. Highway toll stations often experience congestion during rush hours (e.g., rush hours, holidays, etc.), which is mainly due to low manual toll collection efficiency and easy blockage when the traffic is high. An Electronic Toll Collection (ETC) system is an automatic highway toll collection system. The vehicle-mounted electronic tag arranged on the vehicle windshield is in special short-range communication with the microwave antenna on the ETC lane of the toll station, and background settlement processing is carried out by utilizing a computer networking technology, so that the purpose that the vehicle can pay the toll of the expressway through the toll station without stopping the vehicle is achieved. The ETC accelerates the fee payment process to a certain extent, shortens the time for vehicles to pass through toll stations, and greatly improves the traffic capacity of the expressway.
However, there are many special vehicles at highway tollgates that must currently be handled manually, and subsequent vehicles, if following an entering lane, can interfere with the subsequent normal vehicle traffic.
When the existing toll station processes special vehicles, the existing toll station comprises the following procedures: the vehicle runs into the toll station, the toll collection system recognizes vehicle information through the ETC antenna or license plate to conduct toll collection transaction, the cloud toll collection system screens an abnormal vehicle list through big data in the toll collection transaction process, when abnormal vehicles are found, workers are informed of processing the abnormal vehicles, however, at the moment, subsequent vehicles enter the toll station after following, lane changing and toll point replacement cannot be conducted, communication can be conducted only after the front abnormal vehicles are processed, serious congestion of the toll station is caused, and toll station traffic efficiency is low.
Disclosure of Invention
The invention aims to provide a special vehicle guiding system based on a highway toll station, which solves the technical problem that a vehicle state toll system cannot be acquired in advance, and abnormal vehicles can be found only in the transaction process, so that the following normal vehicles cannot pass.
The aim of the invention can be achieved by the following technical scheme:
A special vehicle guidance system based on a highway toll station, comprising:
And the acquisition module is used for: the method comprises the steps of acquiring license plate data information or ETC data information of a vehicle to be entered into a toll station, and generating temporary vehicle data;
and a transmission module: the data acquisition module is used for uploading the data acquired by the acquisition module to the processor for identification and judgment;
A processor: comparing the temporary vehicle data with big data through a charging intranet, judging the abnormal state of the vehicle, if the vehicle is normal, not processing the temporary vehicle data, and if the temporary vehicle data is abnormal, judging the abnormal type of the temporary vehicle data;
An alarm module: the alarm system is used for sending out alarm signals when abnormal vehicles appear and setting different alarm forms according to the types of the abnormal vehicles;
and a guiding module: and guiding the vehicle behind the abnormal vehicle to run according to the abnormal state of the vehicle and in combination with the road condition information at the toll station.
As a further scheme of the invention: the acquisition module comprises an environment sensing module, and the environment sensing module is used for acquiring road environment data at the expressway toll station.
As a further scheme of the invention: the abnormal state of the vehicle comprises abnormal high-speed payment and abnormal license plate information.
As a further scheme of the invention: the license plate information abnormality specific identification method comprises the following steps: the acquisition module acquires license plate information or ETC data information of the vehicle, firstly, big data comparison is carried out through a charging intranet, whether the vehicle has high-speed payment abnormality or not is judged, if the vehicle has the high-speed payment abnormality, the vehicle directly enters a high-speed payment abnormality processing flow, and license plate information abnormality is not judged; if the high-speed payment abnormality does not exist, a camera on the toll station board building is started to shoot the vehicle, the shot photo is compared with the vehicle photo uploaded by the vehicle management system, whether the acquired license plate is matched with the vehicle in the vehicle management system or not is judged, if the license plate information is normal, and if the license plate information is not the same, the license plate information is abnormal.
As a further scheme of the invention: the anomaly type comprises general anomalies and serious anomalies, wherein the general anomalies comprise in-card arrearages and overtime verification; the serious anomaly includes vehicle escape payment and the vehicle being on a pay-after list.
As a further scheme of the invention: the specific method for sending out the alarm signal when the abnormal vehicle appears comprises the following steps:
When an abnormal vehicle appears, an alarm signal is sent out, wherein the alarm signal comprises an audible and visual alarm, a display alarm and a mobile terminal communication alarm, wherein the audible and visual alarm is arranged on a building of a toll station corresponding to a lane and used for reminding a worker and a driver corresponding to the lane, the display alarm is arranged on a host computer display screen of the worker and used for displaying abnormal information of the abnormal vehicle, and the mobile terminal communication alarm carries out abnormal prompt on the worker in a mode of sending a short message or a software message.
As a further scheme of the invention: the setting of different alarm forms according to the abnormal type specifically comprises the following steps: when the abnormality type is a general abnormality, the audible and visual alarm gives out a yellow alarm and an alarm of 100-110 dB, and when the abnormality type is a serious abnormality, the audible and visual alarm gives out a red alarm and an alarm of more than 110 dB.
As a further scheme of the invention: the collecting module and the transmission module are arranged in the collecting equipment, the collecting equipment comprises fixed equipment and mobile equipment, the fixed equipment is fixedly arranged at the head of the toll station, data information of vehicles to be driven into the toll station is collected and transmitted to the processor, and the mobile equipment is an unmanned plane or a road robot, and data information of vehicles jammed on a road in front of the toll station is collected and transmitted to the processor.
As a further scheme of the invention: the specific method for guiding the vehicle behind the abnormal vehicle to run according to the abnormal state of the vehicle and combining the road condition information at the toll station comprises the following steps: when detecting that the vehicles on the current lane have abnormal states, the road condition information of each lane in front of the toll station is called in real time, the subsequent vehicles on the lane are guided to run towards the two side lanes at first, if the vehicles on the two side are queued, the vehicles on the two side are guided to be shunted towards the lanes with fewer adjacent vehicles, the queuing vehicles on the lane where the abnormal vehicles are located are guided and shunted, abnormal display is sent, and the subsequent vehicles are prompted to choose other lanes to run.
As a further scheme of the invention: the driving guidance comprises display guidance, voice prompt guidance and staff command guidance.
The invention has the beneficial effects that:
(1) The system integrates ETC antenna and camera license plate recognition, compares charging data through a wireless network cloud system, recognizes abnormal vehicles in advance at the front end of a toll station, and meanwhile, increases audible and visual alarm devices with different colors to prompt toll station personnel to guide, so that the traffic influence on the following vehicles is reduced.
(2) The guiding efficiency of the vehicle can be effectively improved by combining the guiding of the vehicle with the road condition information, and the congestion of other lanes caused by unordered guiding is avoided, so that the traffic efficiency of the vehicle is improved.
(3) The mobile device further acquires data in advance to identify and judge the vehicles which are jammed and queued, so that the information of the abnormal vehicles can be found earlier, and meanwhile, the vehicles are guided earlier to avoid that the vehicles can not be guided when traveling to a place close to a toll gate.
(4) The method for guiding the abnormal vehicles and the method for processing the abnormal vehicles are adjusted according to the road condition information, the abnormal vehicles are independently guided out, the guidance of more vehicles is avoided, the workload of workers is reduced, the workers are arranged to go to the abnormal vehicles to conduct abnormal processing, the vehicles are directly prevented from being guided, the abnormal conditions are processed by using the time of queuing, and all the vehicles can keep normal running of the original lanes, so that the passing efficiency of the vehicles is greatly improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a block diagram of the system architecture of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a special vehicle guidance system based on a highway toll station, comprising:
and the acquisition module is used for: the system comprises a camera vehicle license plate recognition unit, a vehicle license plate recognition unit and a vehicle license plate recognition system, wherein the camera vehicle license plate recognition unit is used for acquiring license plate data information or ETC data information of a vehicle to be entered into a toll station and generating temporary vehicle data, the ETC data information is recognized through an ETC antenna, and the license plate data information is subjected to data acquisition through the camera vehicle license plate recognition unit;
and a transmission module: the data acquisition module is used for uploading the data acquired by the acquisition module to the processor for identification and judgment;
A processor: comparing the temporary vehicle data with big data through a charging intranet, judging the abnormal state of the vehicle, if the vehicle is normal, not processing the temporary vehicle data, and if the temporary vehicle data is abnormal, judging the abnormal type of the temporary vehicle data;
An alarm module: the alarm system is used for sending out alarm signals when abnormal vehicles appear and setting different alarm forms according to the types of the abnormal vehicles;
and a guiding module: and guiding the vehicle behind the abnormal vehicle to run according to the abnormal state of the vehicle and in combination with the road condition information at the toll station.
The driving guidance comprises display guidance, voice prompt guidance and staff command guidance, and the vehicles are guided in a mode of combining the display guidance of a display screen, the voice prompt guidance and the staff command guidance according to the number of vehicles on the road in front of the toll station and the toll mode of the corresponding toll station.
The acquisition module comprises an environment sensing module, the environment sensing module is used for acquiring road environment data at a highway toll station, the road environment data are uploaded to the processor through the transmission module, and the processor generates corresponding road condition information based on the road environment data, so that the vehicle can be split and guided in the subsequent abnormal process of the vehicle.
The abnormal state of the vehicle comprises abnormal high-speed payment and abnormal license plate information, multiple abnormal judgment can be carried out on the identification of the characteristics of the vehicle, the situation that the high-speed charging system cannot normally identify and charge the vehicle due to abnormal license plate is effectively avoided, meanwhile, the abnormal license plate vehicle is prevented from entering a high speed, high-speed safety accidents are effectively avoided, and due to the fact that the abnormal license plate vehicle is often a false license plate, the vehicle is stopped at a toll gate when the abnormal license plate is found, specific reasons of the abnormality are inquired, and therefore high-speed traffic safety is effectively ensured.
The license plate information abnormality specific identification method comprises the following steps: the acquisition module acquires license plate information or ETC data information of the vehicle, firstly, big data comparison is carried out through a charging intranet, whether the vehicle has high-speed payment abnormality or not is judged, if the vehicle has the high-speed payment abnormality, the vehicle directly enters a high-speed payment abnormality processing flow, and license plate information abnormality is not judged; if the high-speed payment abnormality does not exist, a camera on the toll station board building is started to shoot the vehicle, the shot photo is compared with the vehicle photo uploaded by the vehicle management system, whether the acquired license plate is matched with the vehicle in the vehicle management system or not is judged, if the license plate information is normal, and if the license plate information is not the same, the license plate information is abnormal.
The anomaly type comprises general anomalies and serious anomalies, wherein the general anomalies comprise in-card arrearages and overtime verification; the serious anomaly includes vehicle escape payment and the vehicle being on a pay-after list.
The specific method for sending out the alarm signal when the abnormal vehicle appears comprises the following steps:
When an abnormal vehicle appears, an alarm signal is sent out, wherein the alarm signal comprises an audible and visual alarm, a display alarm and a mobile terminal communication alarm, wherein the audible and visual alarm is arranged on a building of a toll station corresponding to a lane and used for reminding a worker and a driver corresponding to the lane, the display alarm is arranged on a host computer display screen of the worker and used for displaying abnormal information of the abnormal vehicle, and the mobile terminal communication alarm carries out abnormal prompt on the worker in a mode of sending a short message or a software message.
The setting of different alarm forms according to the abnormal type specifically comprises the following steps: when the abnormality type is a general abnormality, the audible and visual alarm gives out a yellow alarm and an alarm of 100-110 dB, and when the abnormality type is a serious abnormality, the audible and visual alarm gives out a red alarm and an alarm of more than 110 dB.
The collecting module and the transmission module are arranged in the collecting equipment, the collecting equipment comprises fixed equipment and mobile equipment, the fixed equipment is fixedly arranged at the head of the toll station, data information of vehicles to be driven into the toll station is collected and transmitted to the processor, and the mobile equipment is an unmanned plane or a road robot, and data information of vehicles jammed on a road in front of the toll station is collected and transmitted to the processor.
The fixed equipment and the mobile equipment are matched for use, whether the mobile equipment is started or not is judged based on road condition information of a road in front of the toll station, when the traffic flow of the toll station is low, the fixed equipment is started only, vehicles to be driven into the toll station are detected in advance through the fixed equipment, the abnormal state of the vehicles is judged in advance, the situation that the vehicles enter the toll station to cause congestion is effectively avoided, meanwhile, staff can be informed in advance to prepare, and the processing flow needed by the vehicles can be prepared in advance according to the abnormal type, so that the traffic efficiency of the vehicles is effectively improved.
When traffic flow is large in holidays or road vehicles in front of the toll station are jammed due to other reasons, in order to improve the traffic efficiency of the vehicles, the traffic efficiency of the vehicles can not be effectively improved by collecting and identifying the vehicles which are about to enter the toll station only through fixed equipment, and lane change running of the following vehicles is inconvenient in case of jam, so that the information of abnormal vehicles can be found earlier by further collecting and identifying data in advance by the mobile equipment for judging the vehicles which are jammed and queued, and meanwhile, the vehicles are guided earlier to avoid the vehicles from running to a place close to the toll station and being unable to be guided.
In addition, the mobile equipment is arranged to conduct abnormal recognition on the vehicles in advance, in order to improve the passing efficiency of the vehicles, the abnormal vehicles can be independently guided out, guiding of more vehicles is avoided, meanwhile, when the vehicles are queued to pass through a toll gate, workers are arranged to go to the abnormal vehicles to conduct abnormal treatment, the vehicles are directly prevented from being guided, the abnormal condition treatment is completed by utilizing the time of queuing, and then all the vehicles can keep normal running of the original lanes, so that the passing efficiency of the vehicles is greatly improved.
The specific method for guiding the vehicle behind the abnormal vehicle to run according to the abnormal state of the vehicle and combining the road condition information at the toll station comprises the following steps: when detecting that the vehicles on the current lane have abnormal states, the road condition information of each lane in front of the toll station is called in real time, the subsequent vehicles on the lane are guided to run towards the two side lanes at first, if the vehicles on the two side are queued, the vehicles on the two side are guided to be shunted towards the lanes with fewer adjacent vehicles, the queuing vehicles on the lane where the abnormal vehicles are located are guided and shunted, abnormal display is sent, and the subsequent vehicles are prompted to choose other lanes to run.
When the vehicle is guided, the information of the subsequent vehicle is collected through the collecting module, whether the subsequent vehicle is a manual payment vehicle or an ETC payment vehicle is judged, and different guiding is carried out on the vehicle according to different payment modes, so that the vehicle can travel to a corresponding payment platform, and the vehicle can be ensured to normally pass after being guided.
The working principle of the invention is as follows: firstly, collecting road environment data in front of a toll station through an environment sensing module, uploading the road environment data to a processor through a transmission module, generating road condition information through the road condition information by the processor, judging the quantity of vehicles in front of the toll station, starting a fixed collecting device to collect data information of vehicles when judging that the vehicles in front of the toll station are fewer and do not form toll congestion, firstly, collecting license plate data information or ETC data information of vehicles to be in the toll station through the collecting module, generating temporary vehicle data, uploading the temporary vehicle data to the processor through the transmission module, comparing big data of the temporary vehicle data through a toll intranet, judging abnormal states of the vehicles, if the temporary vehicle data are not processed normally, judging abnormal types if the temporary vehicle data are abnormal, giving out yellow warning and 100-110 dB warning when judging that the abnormal vehicles are normal abnormal, giving out red warning and more than 110 dB warning when the abnormal types are serious abnormal, displaying abnormal vehicle information on a host computer display screen of a worker, and sending a short message to a worker through a mobile communication terminal or a short message warning software; meanwhile, vehicles behind the abnormal vehicles are guided, road condition information of each lane in front of the toll station is acquired in real time, the subsequent vehicles of the lane are guided to run towards two side lanes at first, if the vehicles are queued on the two side lanes, the vehicles on the two side are guided to be shunted towards fewer lanes of the adjacent vehicles, the queuing vehicles of the lane where the abnormal vehicles are located are guided and shunted, abnormal display is sent out, and the subsequent vehicles are prompted to choose other lanes to run;
When judging that the road vehicles in front of the toll station are more and can form toll congestion, starting the mobile equipment to carry out abnormal recognition on the vehicles in advance and judging the abnormal state of the vehicles in advance, effectively avoiding the situation that the vehicles enter the toll station to cause congestion, informing workers in advance to prepare the vehicles in advance, and preparing the processing flow required by the vehicles according to the abnormal type, thereby effectively improving the passing efficiency of the vehicles, and in order to further improve the passing efficiency of the vehicles, the abnormal vehicles can be independently guided out, thereby avoiding the guiding of more vehicles thereafter, simultaneously, when queuing through the toll station, arranging the workers to the abnormal vehicles to carry out abnormal processing, thereby directly avoiding the guiding of the vehicles, and using the queuing time to finish the abnormal condition processing, all the vehicles can keep the normal running of the original lanes, thereby greatly improving the passing efficiency of the vehicles.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (10)
1. A special vehicle guidance system based on a highway toll station, comprising:
And the acquisition module is used for: the method comprises the steps of acquiring license plate data information or ETC data information of a vehicle to be entered into a toll station, and generating temporary vehicle data;
and a transmission module: the data acquisition module is used for uploading the data acquired by the acquisition module to the processor for identification and judgment;
A processor: comparing the temporary vehicle data with big data through a charging intranet, judging the abnormal state of the vehicle, if the vehicle is normal, not processing the temporary vehicle data, and if the temporary vehicle data is abnormal, judging the abnormal type of the temporary vehicle data;
An alarm module: the alarm system is used for sending out alarm signals when abnormal vehicles appear and setting different alarm forms according to the types of the abnormal vehicles;
and a guiding module: and guiding the vehicle behind the abnormal vehicle to run according to the abnormal state of the vehicle and in combination with the road condition information at the toll station.
2. The special vehicle guidance system based on an expressway toll station of claim 1, wherein said acquisition module includes an environment awareness module for acquiring road environment data at the expressway toll station.
3. The special vehicle guidance system based on an expressway toll station according to claim 1, wherein the abnormal state of the vehicle includes an expressway toll payment abnormality and license plate information abnormality.
4. The special vehicle guidance system based on expressway toll station according to claim 3, wherein the license plate information abnormality specific identification method is as follows: the acquisition module acquires license plate information or ETC data information of the vehicle, firstly, big data comparison is carried out through a charging intranet, whether the vehicle has high-speed payment abnormality or not is judged, if the vehicle has the high-speed payment abnormality, the vehicle directly enters a high-speed payment abnormality processing flow, and license plate information abnormality is not judged; if the high-speed payment abnormality does not exist, a camera on the toll station board building is started to shoot the vehicle, the shot photo is compared with the vehicle photo uploaded by the vehicle management system, whether the acquired license plate is matched with the vehicle in the vehicle management system or not is judged, if the license plate information is normal, and if the license plate information is not the same, the license plate information is abnormal.
5. The special vehicle guidance system based on highway tollgate of claim 1, wherein the anomaly types include general anomalies including in-card arrearages, timeout verification and serious anomalies; the serious anomaly includes vehicle escape payment and the vehicle being on a pay-after list.
6. The special vehicle guidance system based on highway tollgate according to claim 5, wherein the specific method for giving an alarm signal when an abnormal vehicle occurs comprises:
When an abnormal vehicle appears, an alarm signal is sent out, wherein the alarm signal comprises an audible and visual alarm, a display alarm and a mobile terminal communication alarm, wherein the audible and visual alarm is arranged on a building of a toll station corresponding to a lane and used for reminding a worker and a driver corresponding to the lane, the display alarm is arranged on a host computer display screen of the worker and used for displaying abnormal information of the abnormal vehicle, and the mobile terminal communication alarm carries out abnormal prompt on the worker in a mode of sending a short message or a software message.
7. The special vehicle guidance system based on highway tollgate according to claim 6, wherein the setting of different alarm forms according to the abnormality type specifically includes: when the abnormality type is a general abnormality, the audible and visual alarm gives out a yellow alarm and an alarm of 100-110 dB, and when the abnormality type is a serious abnormality, the audible and visual alarm gives out a red alarm and an alarm of more than 110 dB.
8. The special vehicle guidance system based on the expressway toll station according to claim 1, wherein the collection module and the transmission module are installed in a collection device, the collection device comprises a fixed device and a mobile device, the fixed device is fixedly installed at a toll station head, data information of vehicles to be driven into the toll station is collected and transmitted to a processor, and the mobile device is an unmanned plane or a road robot, and data information of vehicles jammed on a road in front of the toll station is collected and transmitted to the processor.
9. The special vehicle guidance system based on an expressway toll station according to claim 1, wherein the specific method of guiding the traveling of the vehicle behind the abnormal vehicle in accordance with the abnormal state of the vehicle in combination with the road condition information at the toll station comprises: when detecting that the vehicles on the current lane have abnormal states, the road condition information of each lane in front of the toll station is called in real time, the subsequent vehicles on the lane are guided to run towards the two side lanes at first, if the vehicles on the two side are queued, the vehicles on the two side are guided to be shunted towards the lanes with fewer adjacent vehicles, the queuing vehicles on the lane where the abnormal vehicles are located are guided and shunted, abnormal display is sent, and the subsequent vehicles are prompted to choose other lanes to run.
10. The special vehicle guidance system based on highway tollgates of claim 9, wherein the driving guidance includes display guidance, voice prompt guidance, and staff command guidance.
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| CN115909527A (en) * | 2022-12-20 | 2023-04-04 | 济南黄河长清大桥投资有限公司 | Unattended ETC lane charging system and method based on video recognition technology |
| CN117037084A (en) * | 2023-08-14 | 2023-11-10 | 交通运输部科学研究院 | Method and device for identifying abnormal behavior of toll station vehicle based on track reconstruction |
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