Efficient and safe dynamic lane optimization system and method

By detecting vehicle conditions in real time and dynamically switching lane types, the problem of insufficient utilization of ETC lanes in smart toll stations has been solved, enabling flexible lane adjustment and safety management, and improving vehicle traffic efficiency and safety.

CN121075142AActive Publication Date: 2025-12-05CCCC BEIJIANG ENG CONSULTING CO LTD
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Patent Information

Application Number
CN202511212579.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-27
Publication Date
2025-12-05
Estimated Expiration
2045-08-27

AI Technical Summary

Technical Problem

In smart toll stations, the ETC lanes are underutilized, resulting in insufficient lane operation flexibility under special circumstances, making it unable to effectively cope with surges in traffic volume, and posing safety hazards to on-site traffic assistants and vehicles that need to pass quickly.

Method used

The system employs a highly efficient and safe dynamic lane optimization system. It uses vehicle detection devices and lane IoT gateways to monitor vehicle conditions in real time, calculate lane optimization strategies, and dynamically switch ETC lanes to mixed lanes. Combined with mobile vehicle identifiers and toll card processing devices, it enables flexible lane adjustment and safe management.

Benefits of technology

Without adding extra lanes, the operational flexibility of ETC lanes has been improved, the problem of intelligent capacity expansion has been solved, and the rapid passage of vehicles and on-site safety have been ensured.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to the technical field of lane optimization, in particular to an efficient and safe dynamic lane optimization system and method.The system comprises a server, a lane Internet of Things gateway, a pass card collecting and processing device, a vehicle detection device and a lane displayer, an electric handrail is arranged in the middle of a lane, and a manual toll booth is arranged on a safety island corresponding to a manual lane; a vehicle recognizer is installed on the safety island corresponding to the switchable lane through a mobile device, and the vehicle recognizer is used for recognizing a license plate or ETC of a vehicle entering the lane. Meanwhile, the invention discloses a method based on the system, lane optimization is carried out according to the actual vehicle condition of a toll station, not only can the lane for entering and exiting the station be adjusted, but also the ETC lane can be switched into a mixed lane, the ETC special lane can be flexibly and conveniently switched according to needs under special conditions, the instant non-ETC passing demand is solved, and the ETC traffic safety is improved. The intelligent capacity expansion is completed under the condition of not increasing extra lanes.
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Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lane optimization, in particular to an efficient and safe dynamic lane optimization system and method. BACKGROUND

[0002] As a key business node and service window of the expressway, the toll station not only undertakes the toll business, but also undertakes the very important business function of safety control; in particular, with the continuous deepening of the few-person development of the future intelligent toll station, the station safety control demand matched with it will also become increasingly prominent, such as the hidden danger solving between the vehicle lane quick traffic and the on-site operation safety of the coordinators, and such as the prevention of the reckless intrusion of non-motor vehicles, pedestrians and the like into the road under the few-person management, and the like, and the safe operation of these road sections and the safety of the life and property of the public are very critical.

[0003] During the holiday, summer vacation and the like, the vehicle flow increases significantly during the tourist peak season, although the ETC vehicle has high traffic efficiency, but there is a situation of insufficient utilization of the ETC lane, and how to increase the operation flexibility of this type of lane through an effective way to realize the intelligent expansion under special circumstances is one of the problems that some road sections have to face. SUMMARY

[0004] The purpose of the present application is to provide an efficient and safe dynamic lane optimization system and method to solve the above technical problems.

[0005] In order to achieve the above-mentioned purpose, the present application provides an efficient and safe dynamic lane optimization system, which comprises a server and a lane Internet of Things gateway in communication with the server, a toll station comprising a rain shelter and safety islands arranged side by side under the rain shelter, a plurality of lanes formed by adjacent safety islands, a motorized barrier arranged in the middle of the lane, a vehicle detection device and a lane display arranged on both sides of the rain shelter for detecting the vehicle conditions on both sides of the toll station, and a passing card collection and processing device arranged on both sides of the toll station; the lane comprises a manual lane and a switchable lane; a manual toll booth is arranged on the safety island corresponding to the manual lane, and a vehicle identifier is installed on the safety island corresponding to the switchable lane through a mobile device, and the vehicle identifier is used to identify the license plate or ETC of the vehicle entering the lane.

[0006] The passing card collection and processing device, the vehicle detection device, the lane display, the manual toll booth and the vehicle identifier are in communication with the lane Internet of Things gateway.

[0007] Preferably, the vehicle detection device for detecting the vehicle conditions on both sides of the toll station comprises a vehicle condition image collector and a vehicle condition image analyzer, the vehicle condition image collector is connected with the vehicle condition image analyzer, the vehicle condition image collector is used to collect the vehicle condition images on both sides of the toll station, the vehicle condition image analyzer identifies the number of vehicles in each lane after preprocessing the collected vehicle condition images, and the vehicle condition image analyzer is in communication with the lane Internet of Things gateway.

[0008] Preferably, the toll card collection processing device comprises a card reader and a conveying mechanism, the conveying mechanism comprising at least one horizontal conveyor and a plurality of vertical telescopic conveyors, the vertical telescopic conveyors being arranged opposite to the safety island, the fixed ends of the vertical telescopic conveyors being arranged opposite to the horizontal conveyor, the discharge end of the horizontal conveyor being arranged opposite to the card reader, and a diffuse reflection sensor being arranged on both sides of the vertical telescopic conveyors for detecting whether a toll card has fallen.

[0009] Preferably, the moving device comprises a moving module arranged on the safety island, and a vehicle detection sensor arranged on the mounting column.

[0010] Preferably, the vehicle recognizer comprises a mounting plate, the mounting plate being arranged at the top of the mounting column through a rotary motor, and a license plate recognition camera, an ETC recognizer, and an ETC processing terminal being arranged on the mounting plate, the license plate recognition camera, the ETC recognizer, the moving module, and the vehicle detection sensor being electrically connected to the ETC processing terminal.

[0011] When the ETC recognizer has a fee deduction exception, the ETC processing terminal sends a control instruction to start the moving module, drives the ETC recognizer to move to the head of the vehicle, and then returns to the initial position, and then performs ETC recognition again, and when the recognition is successful, the electric barrier is opened to release the vehicle, and when the recognition fails again, the ETC processing terminal queries the vehicle entry information according to the license plate data and calculates the toll fee, and displays a payment code through the ETC processing terminal, and after the driver pays the fee, the electric barrier is opened to release the vehicle.

[0012] Preferably, safety passage devices are arranged on both sides of the safety island, the safety passage device comprising a lane image collector, a lane image analyzer, and an alarm, the alarm and the lane image collector being connected to the lane image analyzer, the lane image collector being used to collect the current lane image, the lane image analyzer being used to pre-process the current lane image and analyze whether there is a pedestrian or a non-motor vehicle, and when there is a pedestrian or a non-motor vehicle, the alarm is used to alarm, the lane image analyzer communicates with the lane Internet gateway, and the alarm data is sent to the terminal of the station field management personnel through the server.

[0013] Preferably, a mobile height limiting device is arranged on the lane, the mobile height limiting device comprising a guide rail and a mobile base arranged on the guide rail, two lifting columns being arranged on the two mobile bases, the two lifting columns being connected through an extension pipe, and the mobile base communicating with the lane Internet gateway.

[0014] Based on the above-mentioned method of the efficient and safe dynamic lane optimization system, the specific steps are as follows:

[0015] Step S1: detecting the vehicle conditions on both sides of the toll station through a vehicle detection device.

[0016] Step S2: obtaining a lane optimization strategy according to the vehicle conditions on both sides of the toll station;

[0017] Step S3: switching in and out of the lane and switching the lane type according to the lane optimization strategy.

[0018] Preferably, the step S1 includes the following steps:

[0019] Step S11: collecting vehicle condition images on both sides of the toll station by a vehicle condition image collector;

[0020] Step S12: pre-processing the collected vehicle condition images by a vehicle condition image analyzer, the pre-processing including noise reduction, deblurring and color correction;

[0021] Step S13: identifying vehicle targets in the images and marking the positions of the vehicle targets by a target detection algorithm, and calculating the proportion of the vehicle projection area corresponding to each lane in the total road area, the total vehicle lane occupation proportion on the entrance side and the total vehicle lane occupation proportion on the exit side;

[0022] In step S2, the in-out station imbalance coefficient is calculated by the total vehicle lane occupation proportion on the entrance side and the total vehicle lane occupation proportion on the exit side; the in-out station imbalance coefficient calculation formula is as follows:

[0023] α = η · |φ 进 - φ 出 |

[0024] Wherein, α is the in-out station imbalance coefficient, η is the conversion coefficient, φ 进 and φ 出 are the total vehicle lane occupation proportion on the entrance side and the total vehicle lane occupation proportion on the exit side, respectively;

[0025] The in-out lane switching quantity is calculated according to the in-out station imbalance coefficient, and the calculation formula is as follows:

[0026]

[0027] Wherein, n1 is the in-out lane switching quantity, c1 is the first fixed coefficient;

[0028] The lane type switching quantity is calculated according to the proportion of the vehicle projection area corresponding to each lane in the total road area, and the calculation formula is as follows:

[0029]

[0030] Wherein, n2 is the lane type switching quantity, c2 is the second fixed coefficient, φ 人工 and φ ETCThe total proportion of artificial lanes and the total proportion of switchable lanes in the road are respectively denoted as a total lane proportion and a switchable lane proportion, and the switchable lane proportions are sorted from small to large, and the first n2 switchable lanes are switched from ETC lanes to mixed lanes;

[0031] The lane optimization strategy includes the number of in-out lane switching, the number of lane type switching, and the position of lane type switching.

[0032] Preferably, in step S3, the in-out lane switching process is as follows:

[0033] The rotation motor corresponding to the lane is rotated by 180°, the orientations of the license plate recognition camera, the ETC identifier and the ETC processing terminal are switched, and the lane display shows the corresponding switching direction;

[0034] The lane type switching process is as follows:

[0035] The lane display shows the corresponding switching type, the ETC lane is modified to a mixed lane, the vertical telescopic conveyor corresponding to the lane is extended, the driver places the communication card on the vertical telescopic conveyor, the vertical telescopic conveyor and the horizontal conveyor are started to convey the communication card to the card reader for driving data reading and fee calculation, the license plate is recognized when the vehicle passes through the license plate recognition camera, the ETC processing terminal displays the payment code, the driver pays after the electric barrier is opened to release the vehicle, the vehicle with ETC is identified and charged when passing through the ETC identifier, and the electric barrier is opened to release the vehicle after the charge.

[0036] Therefore, the present application adopts the above-mentioned efficient and safe dynamic lane optimization system and method, which has the beneficial effects that the lane is optimized according to the actual toll station vehicle condition, not only the in-out station lane can be adjusted, but also the ETC lane can be switched to a mixed lane, realizing that the ETC special lane can be flexibly and conveniently switched on demand under special circumstances, solving the instantaneous non-ETC passing demand, and achieving intelligent expansion without increasing additional lanes.

[0037] The technical solutions of the present application will be further described in detail below with the help of the drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 It is a safety island arrangement structure diagram in the efficient and safe dynamic lane optimization system of the present application;

[0039] Figure 2 It is a toll station structure diagram;

[0040] Figure 3 It is a safety island structure diagram corresponding to the switchable lane of the present application;

[0041] Figure 4Structure diagram of vehicle identifier of the present application;

[0042] Figure 5 Flow chart of the method of the present application.

[0043] Reference signs

[0044] 1, canopy; 2, safety island; 3, electric barrier; 4, vehicle detection device; 5, lane display; 6, pass card collection and processing device; 61, card reader; 62, horizontal conveyor; 63, vertical telescopic conveyor; 7, manual toll booth; 8, mobile device; 81, mobile module; 82, mounting column; 83, vehicle detection sensor; 9, vehicle identifier; 91, mounting plate; 92, rotary motor; 93, license plate recognition camera; 94, ETC identifier; 95, ETC processing terminal; 10, server; 11, lane Internet of Things gateway; 12, safety pass device; 121, lane image collector; 122, lane image analyzer; 123, alarm; 13, mobile height limiting device; 131, guide rail; 132, mobile base; 133, lifting column; 134, telescopic pipe. DETAILED DESCRIPTION

[0045] In the description of the present application, it should be noted that the terms "upper", "lower", "inner", "outer" and the like indicate the orientation or positional relationship shown in the drawings, or the orientation or positional relationship in which the product of the present application is usually placed, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms "arrangement", "mounting", "connection" should be understood broadly, for example, it can be fixedly connected, or detachably connected, or integrally connected; it can be mechanically connected, or electrically connected; it can be directly connected, or indirectly connected through an intermediate medium, or it can be the communication between two elements inside. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0046] The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0047] As Figures 1-2As shown, a high-efficiency and safe dynamic lane optimization system includes a server 10 and a lane Internet of Things gateway 11 in communication with the server 10. The toll station includes a canopy 1 and safety islands 2 arranged side by side under the canopy 1. The adjacent safety islands 2 form several lanes, and the middle of the lanes is provided with electric barriers 3. The canopy 1 is provided with vehicle detection devices 4 and lane displays 5 on both sides for detecting the vehicle conditions on both sides of the toll station. The lane displays 5 are used to display the lane type (ETC, manual, or mixed) and whether it can pass (indicated by √ and ×). The safety island 2 corresponding to the manual lane is provided with a manual toll booth 7 (equipped with toll equipment, license plate recognition equipment, and a display, etc.). As shown in Figure 3 As shown, the safety island 2 corresponding to the switchable lane is provided with a vehicle identifier 9 installed through a mobile device 8. The vehicle identifier 9 is used to identify the license plate or ETC of the vehicle entering the lane. The vehicle detection device 4, the lane display 5, the manual toll booth 7, and the vehicle identifier 9 are in communication with the lane Internet of Things gateway 11.

[0048] The vehicle detection device 4 is used to detect the vehicle conditions on both sides of the toll station to facilitate subsequent lane optimization. The vehicle detection device 4 includes a vehicle condition image collector and a vehicle condition image analyzer. The vehicle condition image collector is connected to the vehicle condition image analyzer. The vehicle condition image collector is used to collect vehicle condition images on both sides of the toll station. The vehicle condition image analyzer identifies the number of vehicles in each lane after preprocessing the collected vehicle condition images. The vehicle condition image analyzer is in communication with the lane Internet of Things gateway 11.

[0049] The lane includes a manual lane and a switchable lane (which can be switched from ETC to a mixed lane). In order for the ETC lane to receive a communication card and perform a payment operation after switching, a toll card collection and processing device 6 is arranged on both sides of the toll station. The toll card collection and processing device 6 includes a card reader 61 and a conveying mechanism. The conveying mechanism includes a horizontal conveyor 62 and a vertical telescopic conveyor 63. The number and position of the horizontal conveyors 62 are arranged according to the layout of the toll station and the card reader 61. In this embodiment, two symmetrical horizontal conveyors 62 are arranged. A plurality of vertical telescopic conveyors 63 are arranged opposite to the safety island 2. The fixed end of the vertical telescopic conveyor 63 is arranged opposite to the horizontal conveyor 62. The discharge end of the horizontal conveyor 62 is arranged opposite to the card reader 61. Diffuse reflection sensors are installed on both sides of the vertical telescopic conveyor 63 to detect whether a toll card has fallen. When a toll card is placed on the corresponding vertical telescopic conveyor 63, the corresponding vertical telescopic conveyor 63 is started, and the horizontal conveyor 62 opposite to the vertical telescopic conveyor 63 is also started to convey the toll card to the card reader 61 for reading, so that each TEC lane does not need to be equipped with a card reading device, greatly reducing the system cost. At the same time, the same lane can receive multiple toll cards. After entering the toll station, the license plate is identified, and the payment is made, greatly improving the efficiency of passing through.

[0050] In the case of ETC recognition failure or toll recognition in the ETC lane, the vehicle recognizer 9 is movably arranged, and the moving device 8 includes a moving module 81 (a motor lead screw or a chain mechanism, etc., using an existing moving module) mounted on the safety island 2, and a mounting stand 82 is arranged on the moving module 81, and a vehicle detection sensor 83 is arranged on the mounting stand 82. As shown in Figure 4 The vehicle recognizer 9 includes a mounting plate 91, the bottom of which is mounted on the top of the mounting stand 82 by a rotary motor 92, and a license plate recognition camera 93, an ETC recognizer 94, and an ETC processing terminal 95 are mounted on the mounting plate 91, and the license plate recognition camera 93, the ETC recognizer 94, the moving module 81, and the vehicle detection sensor 83 are electrically connected to the ETC processing terminal 95.

[0051] When the ETC recognizer 94 has a toll abnormality, the ETC processing terminal 95 sends a control instruction to start the moving module 81, which drives the ETC recognizer 94 to move to the vehicle head position and then returns to the initial position, and then performs ETC recognition again (the number of re-recognition can be set according to actual needs), and when the recognition is successful, the electric barrier 3 is opened to release the vehicle, and when the recognition fails again, the ETC processing terminal 95 queries the vehicle entry information according to the license plate data and calculates the toll, and displays the payment code through the ETC processing terminal 95, and after the driver pays the fee, the electric barrier 3 is opened to release the vehicle.

[0052] In order to ensure the safety of the toll station, safety passing devices 12 are arranged on both sides of the safety island 2, the safety passing devices 12 include a lane image collector 121, a lane image analyzer 122, and an alarm 123, the alarm 123 and the lane image collector 121 are connected to the lane image analyzer 122, the lane image collector 121 is used to collect the current lane image, the lane image analyzer 122 receives the current lane image and performs preprocessing, and analyzes whether there are pedestrians or non-motor vehicles, when there are pedestrians or non-motor vehicles, the alarm 123 is used to alarm, the lane image analyzer 122 communicates with the lane Internet gateway 11, and the alarm data is sent to the terminal of the station field management personnel through the server 10.

[0053] A movable height limiting device 13 is arranged on the lane, the movable height limiting device 13 includes guide rails 131 and movable bases 132 arranged on the guide rails 131, two lifting columns 133 (the height limiting height can be adjusted according to actual conditions) are arranged on the two movable bases 132, the two lifting columns 133 are connected through telescopic pipes 134, the movable bases 132 communicate with the lane Internet gateway 11, and move to the corresponding end according to the communication direction of the lane, the movable bases 132 are provided with motors for driving walking and lifting, and the motor driving walking and lifting is a conventional arrangement, which will not be described here.

[0054] AsFigure 5 As shown, based on the above-mentioned efficient and safe dynamic lane optimization system, the specific steps are as follows:

[0055] Step S1: Detect the vehicle conditions on both sides of the toll station through the vehicle detection device 4.

[0056] The specific steps of step S1 are as follows:

[0057] Step S11: The vehicle condition image collector collects vehicle condition images on both sides of the toll station;

[0058] Step S12: The vehicle condition image analyzer pre-processes the collected vehicle condition images, which includes noise reduction, deblurring, and color correction;

[0059] Step S13: Identify the vehicle targets in the image through a target detection algorithm and mark the positions of the vehicle targets, and calculate the proportion of the projection area of each lane corresponding to the vehicle to the total area of the road, the total vehicle lane occupation ratio on the entrance side and the total vehicle lane occupation ratio on the exit side.

[0060] Step S2: Obtain the lane optimization strategy according to the vehicle conditions on both sides of the toll station.

[0061] In step S2, the entrance-exit imbalance coefficient is calculated by the total vehicle lane occupation ratio on the entrance side and the total vehicle lane occupation ratio on the exit side; the entrance-exit imbalance coefficient calculation formula is as follows:

[0062] α = η · |φ 进 -φ 出 |

[0063] Wherein, α is the entrance-exit imbalance coefficient, η is the conversion coefficient, φ 进 and φ 出 are the total vehicle lane occupation ratio on the entrance side and the total vehicle lane occupation ratio on the exit side, respectively;

[0064] The number of entrance-exit lane switching is calculated according to the entrance-exit imbalance coefficient, and the calculation formula is as follows:

[0065]

[0066] Wherein, n1 is the number of entrance-exit lane switching, c1 is the first fixed coefficient;

[0067] The number of lane type switching is calculated according to the proportion of the projection area of each lane corresponding to the vehicle to the total area of the road, and the calculation formula is as follows:

[0068]

[0069] Wherein, n2 is the number of lane type switching, c2 is the second fixed coefficient, φ 人工 and φ ETCThe total proportion of the artificial lane and the total proportion of the switchable lane in the road are respectively denoted as P1 and P2, and the switchable lanes are sorted in ascending order of the proportion in the road, and the first n2 switchable lanes are switched from the ETC lane to the mixed lane.

[0070] The lane optimization strategy includes the number of in-out lane switching, the number of lane type switching, and the position of lane type switching.

[0071] Step S3: In-out lane switching and lane type switching are performed according to the lane optimization strategy. In step S3, the in-out lane switching process is as follows:

[0072] The rotation motor 92 corresponding to the lane rotates 180°, and the orientations of the license plate recognition camera 93, the ETC recognizer 94, and the ETC processing terminal 95 are switched. The lane display 5 displays the corresponding switching direction.

[0073] The lane type switching process is as follows:

[0074] The lane display 5 displays the corresponding switching type, and the mixed lane is modified from the ETC lane. The vertical telescopic conveyor 63 corresponding to the lane is extended, the driver places the communication card on the vertical telescopic conveyor 63, and the vertical telescopic conveyor 63 and the horizontal conveyor 62 are started to convey the communication card to the card reader 61 for driving data reading and fee calculation. The license plate is recognized when the vehicle passes through the license plate recognition camera 93, and the ETC processing terminal 95 displays the payment code. After the driver pays the fee, the electric barrier 3 is opened to release the vehicle. The vehicle with ETC is identified and charged when passing through the ETC recognizer, and the electric barrier 3 is opened to release the vehicle after the charge.

[0075] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application and not to limit them. Although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can still be modified or replaced by equivalents, and these modifications or replacements cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present application.

Claims

1. A high-efficiency and safe dynamic lane optimization system, comprising a server and a lane Internet of Things gateway in communication with the server, a toll station comprising a canopy and safety islands arranged side by side under the canopy, adjacent safety islands forming a plurality of lanes, and a motorized barrier arranged in the middle of the lanes, characterized in that: The both sides of the rain shelter are provided with vehicle detection devices and lane displays for detecting the vehicle conditions on the both sides of the toll station, and the both sides of the toll station are provided with passage card collection processing devices; the lanes include manual lanes and switchable lanes; a manual toll booth is arranged on a safety island corresponding to the manual lane, and a vehicle identifier is arranged on the safety island corresponding to the switchable lane through a moving device, and the vehicle identifier is used for identifying the license plate or ETC of the vehicle entering the lane; The passage card collection processing devices, the vehicle detection devices, the lane displays, the manual toll booths and the vehicle identifier are communicated with the lane Internet of Things gateway.

2. A high efficiency safe dynamic lane optimization system as claimed in claim 1, wherein: The vehicle detection device for detecting the vehicle conditions on the both sides of the toll station includes a vehicle condition image collector and a vehicle condition image analyzer, the vehicle condition image collector is connected with the vehicle condition image analyzer, the vehicle condition image collector is used for collecting vehicle condition images on the both sides of the toll station, the vehicle condition image analyzer identifies the number of vehicles in each lane after preprocessing the collected vehicle condition images, and the vehicle condition image analyzer is communicated with the lane Internet of Things gateway.

3. A high efficiency safe dynamic lane optimization system as claimed in claim 2, wherein: The passage card collection processing device includes a card reader and a conveying mechanism, the conveying mechanism includes at least one horizontal conveyor and a plurality of vertical telescopic conveyors, the vertical telescopic conveyors are arranged opposite to the safety island, the fixed end of the vertical telescopic conveyor is arranged opposite to the horizontal conveyor, the discharge end of the horizontal conveyor is arranged opposite to the card reader, and a diffuse reflection sensor is arranged on the both sides of the vertical telescopic conveyor for detecting whether there is a passage card falling.

4. A high efficiency safe dynamic lane optimization system as claimed in claim 3, wherein: The moving device includes a moving module arranged on the safety island, an installation stand is arranged on the moving module, and a vehicle detection sensor is arranged on the installation stand.

5. A high efficiency safety dynamic lane optimization system as claimed in claim 4, wherein: The vehicle identifier includes a mounting plate, the mounting plate is arranged on the top of the installation stand through a rotary motor, a license plate recognition camera, an ETC identifier and an ETC processing terminal are arranged on the mounting plate, the license plate recognition camera, the ETC identifier, the moving module and the vehicle detection sensor are electrically connected with the ETC processing terminal; When the ETC identifier has a fee deduction exception, the ETC processing terminal sends a control instruction to start the moving module, drives the ETC identifier to move to the head position of the vehicle and then returns to the initial position, and then performs ETC identification again, after successful identification, opens the electric barrier to release the vehicle, and when the identification fails again, the ETC processing terminal queries the vehicle entry information according to the license plate data and calculates the passage fee, displays a payment code through the ETC processing terminal, and opens the electric barrier to release the vehicle after the driver pays the fee.

6. A high efficiency safe dynamic lane optimization system as claimed in claim 5, wherein: Safety passage devices are arranged on the both sides of the safety island, the safety passage devices include a lane image collector, a lane image analyzer and an alarm, the alarm and the lane image collector are connected with the lane image analyzer, the lane image collector is used for collecting current lane images, the lane image analyzer pre-processes the current lane images after receiving the current lane images, analyzes whether there are pedestrians or non-motor vehicles, and when there are pedestrians or non-motor vehicles, the alarm is used for alarming, the lane image analyzer is communicated with the lane Internet of Things gateway, and the alarm data is sent to the terminal of the station field cooperative staff through the server.

7. A high efficiency safety dynamic lane optimization system as claimed in claim 6, wherein: The movable height limiting device is arranged on the lane, and comprises guide rails and movable bases arranged on the guide rails.

8. A method of a high efficient and safe dynamic lane optimization system based on claim 7, characterized in that, The specific steps are as follows: Step S1: detecting the vehicle conditions on both sides of the toll station through a vehicle detection device; Step S2: obtaining a lane optimization strategy according to the vehicle conditions on both sides of the toll station; Step S3: switching in and out of the lane and switching the lane type according to the lane optimization strategy.

9. A method according to claim 8, wherein, The specific steps of step S1 are as follows: Step S11: collecting vehicle condition images on both sides of the toll station by a vehicle condition image collector; Step S12: pre-processing the collected vehicle condition images by a vehicle condition image analyzer, which includes noise reduction, deblurring and color correction; Step S13: identifying vehicle targets in the images by a target detection algorithm and marking the positions of the vehicle targets, and calculating the proportions of the vehicle projection areas corresponding to each lane in the total road area, the total vehicle lane occupation proportion on the entrance side and the total vehicle lane occupation proportion on the exit side; In step S2, the in-out station imbalance coefficient is calculated by the total vehicle lane occupation proportion on the entrance side and the total vehicle lane occupation proportion on the exit side; the calculation formula of the in-out station imbalance coefficient is as follows: a = η • | φ 进 - φ 出 | Wherein, a is the imbalance coefficient of entering and leaving station, η is the conversion coefficient, φ 进 and φ 出 are the total vehicle road occupation ratio of entering station side and the total vehicle road occupation ratio of leaving station side, respectively. The in-out lane switching quantity is calculated according to the in-out station imbalance coefficient; the calculation formula is as follows: Wherein, n1 is the in-out lane switching quantity, and c1 is the first fixed coefficient; The lane type switching quantity is calculated according to the proportions of the vehicle projection areas corresponding to each lane in the total road area; the calculation formula is as follows: Wherein, n2 is the lane type switching number, c2 is the second fixed coefficient, φ 人工 and φ ETC are the total road proportion of artificial lane and the total road proportion of switchable lane respectively, the switchable lanes are sorted from small to large according to the road proportion, and the first n2 switchable lanes are switched from the ETC lane to the mixed lane. The lane optimization strategy includes the in-out lane switching quantity, the lane type switching quantity and the lane type switching position.

10. A method according to claim 9, wherein, In step S3, the in-out lane switching process is as follows: The corresponding lane rotating motor rotates 180°, the orientation of the license plate recognition camera, the ETC identifier and the ETC processing terminal is switched, and the lane display corresponds to the switching direction display; The lane type switching process is as follows: The lane display corresponds to the switching type display, the ETC lane is changed to a mixed lane, the corresponding vertical telescopic conveyor is extended, the driver places the communication card on the vertical telescopic conveyor, the vertical telescopic conveyor and the horizontal conveyor are started to convey the communication card to the card reader for driving data reading and fee calculation, the license plate is recognized when the vehicle passes through the license plate recognition camera, the ETC processing terminal displays the payment code, the driver pays after the electric barrier is opened to release the vehicle, the vehicle with ETC is identified and charged when passing through the ETC identifier, and the electric barrier is opened to release the vehicle after the charge.

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