Safe traffic control system for width-limited area of road

Abstract

The invention relates to a road width-limited area safety passage control system, which comprises a signal capturing mechanism arranged at a road width-limited area and used for executing field image signal capturing operation on an automobile which is about to pass to the road width-limited area; the signal detection mechanism is used for intelligently identifying an entity width value of a vehicle which is about to enter the road width limiting area; and the state identification mechanism is used for sending a width limiting reminding command when the received entity width value is greater than the maximum passing width corresponding to the road width limiting area. The safe traffic control system for the road width-limited area is compact in design, safe and reliable. On the basis of customized visual data intelligent analysis, when the entity width value of the vehicle which is about to enter the width-limited road surface area is greater than the maximum passing width corresponding to the road width-limited area through intelligent analysis, the width-limited reminding command is sent out, so that the number of traffic road surface accidents is reduced.

Description

Technical Field

[0001] This invention relates to the field of traffic road management, and more specifically, to a safe passage control system for road width-restricted areas. Background Technology

[0002] Urban roads are classified into three levels: expressways, arterial roads, and secondary arterial roads—local roads. The width of the right-of-way (right-of-way) for each level is controlled as follows: expressways no less than 40 meters, arterial roads 30 to 40 meters, secondary arterial roads 20 to 24 meters, and local roads 14 to 18 meters. In urban planning, road width refers only to the width of the carriageway and sidewalks, excluding the width of urban green spaces along the street outside the sidewalks, and is primarily determined by traffic volume. It does not include the width of the curb. Furthermore, speed limits are considered in the design of each type of road.

[0003] In practical scenarios, width-limiting bollards are typically installed. For example, a rural road speed reduction and width-limiting bollard (application publication number: CN112030815A) includes a trapezoidal plate. The trapezoidal plate contains a width detection device, which includes two symmetrical, upward-opening right lifting slots. A measuring plate extending upward to the upper side of the trapezoidal plate is slidably connected within the right lifting slot. Depending on actual needs, the device is clamped to a certain position to limit the width of vehicles and remind drivers to slow down. Unlike existing fixed bollards, both bollards have limiting sliders. When the width of a vehicle does not meet the requirements, the two limiting sliders move towards each other, prohibiting vehicle passage. When the width of a vehicle meets the requirements, the two limiting sliders move away from each other.

[0004] However, in the actual management of roads, there is no identification of the vehicle width of vehicles about to enter the width-restricted road area, and no safety control mechanism based on the identification of the vehicle width and comparison with the maximum passage width corresponding to the width-restricted road area, and the warning based on the comparison result, which can easily lead to vehicles being caught in a dilemma. Summary of the Invention

[0005] To address the technical problems in related fields, this invention provides a safe passage control system for road width-restricted areas. According to this invention, the system includes:

[0006] A signal capture mechanism is installed in the road width restriction area to perform on-site image signal capture operation on vehicles about to pass through the road width restriction area, so as to obtain and output the corresponding road capture image;

[0007] The content optimization mechanism, connected to the signal acquisition mechanism, includes a data enhancement device, a grayscale correction device, and a combined filtering device. The grayscale correction device is connected to both the data enhancement device and the combined filtering device. The data enhancement device performs histogram equalization processing based on a distribution function on the received road acquisition image to obtain and output a corresponding current enhanced image. The grayscale correction device performs grayscale non-uniformity correction processing on the received current enhanced image to obtain and output a corresponding grayscale corrected image. The combined filtering device performs combined filtering processing on the received grayscale corrected image to obtain and output a corresponding combined filtered image.

[0008] A signal detection mechanism, connected to the content optimization mechanism, is used to input the position data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image into a feedforward neural network that has completed a preset number of learning operations. The feedforward neural network that has completed a preset number of learning operations is then executed to obtain the vehicle's entity width value output by the feedforward neural network that has completed a preset number of learning operations. The preset number is proportional to the total number of pixels occupied by the vehicle in the combined filtered image, and the position data corresponding to each pixel is the coordinate value of the horizontal coordinate system in the combined filtered image.

[0009] A status identification mechanism, connected to the signal detection mechanism, is used to issue a width restriction reminder command when the received entity width value is greater than the maximum passage width corresponding to the road width restriction area;

[0010] The state identification mechanism is also used to issue a width restriction safety command when the received entity width value is less than or equal to the maximum passage width corresponding to the road width restriction area.

[0011] The road width-restricted area safe passage control system of the present invention is compact, safe and reliable. Based on customized visual data intelligent analysis, it can issue a width restriction warning command when the actual width of a vehicle about to enter the width-restricted road area exceeds the maximum passage width corresponding to the road width restriction area, thereby reducing the number of traffic accidents. Attached Figure Description

[0012] Those skilled in the art can better understand the many advantages of the present invention by referring to the accompanying drawings.

[0013] Figure 1 This is a schematic diagram of the internal structure of the road width-restricted area safe passage control system according to the first embodiment of the present invention.

[0014] Figure 2This is a schematic diagram of the internal structure of the road width-restricted area safe passage control system according to the second embodiment of the present invention.

[0015] Figure 3 This is a schematic diagram of the internal structure of the road width-restricted area safe passage control system according to the third embodiment of the present invention. Detailed Implementation

[0016] The implementation scheme of the road width-restricted area safe passage control system of the present invention will be described in detail below with reference to the accompanying drawings.

[0017] First Embodiment

[0018] Figure 1 This is a schematic diagram of the internal structure of a road width-restricted area safe passage control system according to a first embodiment of the present invention, the system comprising:

[0019] A signal capture mechanism is installed in the road width restriction area to perform on-site image signal capture operation on vehicles about to pass through the road width restriction area, so as to obtain and output the corresponding road capture image;

[0020] For example, the signal capture mechanism includes a photoelectric sensor for performing on-site image signal capture operation on a vehicle about to pass through the road width restriction area, so as to obtain and output the corresponding road capture image;

[0021] The content optimization mechanism, connected to the signal acquisition mechanism, includes a data enhancement device, a grayscale correction device, and a combined filtering device. The grayscale correction device is connected to both the data enhancement device and the combined filtering device. The data enhancement device performs histogram equalization processing based on a distribution function on the received road acquisition image to obtain and output a corresponding current enhanced image. The grayscale correction device performs grayscale non-uniformity correction processing on the received current enhanced image to obtain and output a corresponding grayscale corrected image. The combined filtering device performs combined filtering processing on the received grayscale corrected image to obtain and output a corresponding combined filtered image.

[0022] A signal detection mechanism, connected to the content optimization mechanism, is used to input the position data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image into a feedforward neural network that has completed a preset number of learning operations. The feedforward neural network that has completed a preset number of learning operations is then executed to obtain the vehicle's entity width value output by the feedforward neural network that has completed a preset number of learning operations. The preset number is proportional to the total number of pixels occupied by the vehicle in the combined filtered image, and the position data corresponding to each pixel is the coordinate value of the horizontal coordinate system in the combined filtered image.

[0023] A status identification mechanism, connected to the signal detection mechanism, is used to issue a width restriction reminder command when the received entity width value is greater than the maximum passage width corresponding to the road width restriction area;

[0024] The state identification mechanism is also used to issue a width restriction safety command when the received entity width value is less than or equal to the maximum passage width corresponding to the road width restriction area.

[0025] Specifically, the location data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image are input into a feedforward neural network that has completed a preset number of learning operations. The feedforward neural network that has completed a preset number of learning operations is used to obtain the vehicle entity width value output by the feedforward neural network that has completed a preset number of learning operations. This involves performing numerical normalization processing on the location data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image, and then inputting them in parallel into the feedforward neural network that has completed a preset number of learning operations.

[0026] Second Embodiment

[0027] Figure 2 This is a schematic diagram of the internal structure of the road width-restricted area safe passage control system according to the second embodiment of the present invention.

[0028] Figure 2 The road width-restricted area safety passage control system in Figure 1 In addition, the following components may also be included:

[0029] A visual monitoring mechanism is located near the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, and is connected to each of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, respectively.

[0030] The visual monitoring mechanism, located near and connected to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, includes: the visual monitoring mechanism comprising multiple ultra-high-definition cameras for providing ultra-high-definition monitoring images of their respective working environments to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

[0031] Third Embodiment

[0032] Figure 3 This is a schematic diagram of the internal structure of the road width-restricted area safe passage control system according to the third embodiment of the present invention.

[0033] Figure 3 The road width-restricted area safety passage control system in Figure 1 In addition, the following components may also be included:

[0034] A dehumidification processing mechanism is located near the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, and is connected to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, respectively.

[0035] The dehumidification processing mechanism, located near and connected to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, includes multiple dehumidification processing units for providing the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism with their respective required dehumidification processing operations.

[0036] Next, the specific structure of the road width-restricted area safe passage control system of the present invention will be further described.

[0037] In a road width-restricted area safe passage control system according to any embodiment of the present invention:

[0038] An image data processing device is used to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processed data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, respectively.

[0039] The process of using an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing Kirsch operator sharpening on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

[0040] The method of using an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing logarithmic image enhancement on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

[0041] The process of using an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing gamma correction on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

[0042] The method of using an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing distortion correction on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

[0043] In addition, in the road width-restricted area safe passage control system, the location data corresponding to each pixel point occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image are input into the feedforward neural network that has completed a preset number of learning operations to execute the feedforward neural network that has completed a preset number of learning operations. The method to obtain the vehicle's physical width value output by the feedforward neural network that has completed a preset number of learning operations also includes: using the MATLAB toolbox to simulate and implement the feedforward neural network that has completed a preset number of learning operations.

[0044] Therefore, it can be seen that the present invention has at least the following beneficial technical effects:

[0045] First: Input the position data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image into the feedforward neural network that has completed a preset number of learning operations to execute the feedforward neural network that has completed a preset number of learning operations, and obtain the vehicle entity width value output by the feedforward neural network that has completed a preset number of learning operations.

[0046] Secondly: In the feedforward neural network that has completed a preset number of learning operations, the value of the preset number is proportional to the total number of pixels occupied by the vehicle in the combined filtered image, and the position data corresponding to each pixel is the coordinate value of the horizontal coordinate system in the combined filtered image, thereby realizing the customization of the structure of the feedforward neural network.

[0047] Furthermore: When the entity width value analyzed by the intelligent system is greater than the maximum passage width corresponding to the road width restriction area, a width restriction reminder command is issued; otherwise, a width restriction safety command is issued, thereby realizing intelligent and safe passage control of the road width restriction area.

[0048] In the description of this specification, references to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example that is included in at least one embodiment or example of the present invention.

[0049] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.

[0050] While the present invention has been disclosed above with reference to embodiments, it is not intended to limit the invention. Anyone skilled in the art should be able to make appropriate modifications and equivalent substitutions without departing from the spirit and scope of the invention. Therefore, the scope of protection of the present invention should be determined by the scope defined in the claims of this application.

Claims

1. A safe passage control system for road width-restricted areas, characterized in that, The system includes: A signal capture mechanism is installed in the road width restriction area to perform on-site image signal capture operation on vehicles about to pass through the road width restriction area, so as to obtain and output the corresponding road capture image; The content optimization mechanism, connected to the signal acquisition mechanism, includes a data enhancement device, a grayscale correction device, and a combined filtering device. The grayscale correction device is connected to both the data enhancement device and the combined filtering device. The data enhancement device performs histogram equalization processing based on a distribution function on the received road acquisition image to obtain and output a corresponding current enhanced image. The grayscale correction device performs grayscale non-uniformity correction processing on the received current enhanced image to obtain and output a corresponding grayscale corrected image. The combined filtering device performs combined filtering processing on the received grayscale corrected image to obtain and output a corresponding combined filtered image. A signal detection mechanism, connected to the content optimization mechanism, is used to input the position data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image into a feedforward neural network that has completed a preset number of learning operations. The feedforward neural network that has completed a preset number of learning operations is then executed to obtain the vehicle's entity width value output by the feedforward neural network that has completed a preset number of learning operations. The preset number is proportional to the total number of pixels occupied by the vehicle in the combined filtered image, and the position data corresponding to each pixel is the coordinate value of the horizontal coordinate system in the combined filtered image. A status identification mechanism, connected to the signal detection mechanism, is used to issue a width restriction reminder command when the received entity width value is greater than the maximum passage width corresponding to the road width restriction area; The state identification mechanism is also used to issue a width restriction safety command when the received entity width value is less than or equal to the maximum passage width corresponding to the road width restriction area.

2. The road width-restricted area safe passage control system as described in claim 1, characterized in that: The location data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image are input into a feedforward neural network that has completed a preset number of learning operations. The feedforward neural network that has completed a preset number of learning operations outputs the vehicle entity width value by performing numerical normalization on the location data corresponding to each pixel occupied by the vehicle in the combined filtered image, the number of pixels in the combined filtered image, and the total number of pixels occupied by the vehicle in the combined filtered image, and then inputting them in parallel into the feedforward neural network that has completed a preset number of learning operations.

3. The road width-restricted area safe passage control system as described in claim 2, characterized in that, The system also includes: A visual monitoring mechanism is located near the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, and is connected to each of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, respectively. The visual monitoring mechanism, located near and connected to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, includes: the visual monitoring mechanism comprising multiple ultra-high-definition cameras for providing ultra-high-definition monitoring images of their respective working environments to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

4. The road width-restricted area safe passage control system as described in claim 2, characterized in that, The system also includes: A dehumidification processing mechanism is located near the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, and is connected to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, respectively. The dehumidification processing mechanism, located near and connected to the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism, includes multiple dehumidification processing units for providing the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism with their respective required dehumidification processing operations.

5. The road width-restricted area safe passage control system as described in any one of claims 2-4, characterized in that: An image data processing device is used to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processed data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

6. The road width-restricted area safe passage control system as described in claim 5, characterized in that: The image data processing method employs an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism. This includes performing Kirsch operator sharpening on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

7. The road width-restricted area safe passage control system as described in claim 5, characterized in that: The image data processing performed on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism using an image enhancement device to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing logarithmic image enhancement on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

8. The road width-restricted area safe passage control system as described in claim 5, characterized in that: The image data processing method employing an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing gamma correction on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

9. The road width-restricted area safe passage control system as described in claim 5, characterized in that: The image data processing method employing an image enhancement device to perform image data processing on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism includes: performing distortion correction on the output data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism to obtain the corresponding output processing data of the data enhancement device, the grayscale correction device, the combined filtering device, and the signal detection mechanism.

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