CN117953692B - Computer-integrated networked traffic control system - Google Patents
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Abstract
The invention discloses a computer-integrated networked traffic control system, which particularly relates to the technical field of traffic management, and comprises a data network integration module, a traffic loss evaluation module, an import influence evaluation module, an accident area judgment module, an area influence evaluation module, a one-way traffic evaluation module and a two-way traffic evaluation module; acquiring image data of a camera in real time and transmitting the image data to a central server, acquiring spatial characteristics of a traffic accident area by utilizing a target detection and image recognition technology, and judging whether the accident area affects the traffic of vehicles or not; by analyzing the accident area position, the accident area is divided into a bidirectional influence area and a unidirectional influence area, and personalized treatment strategies are provided for traffic accidents of different influence types; the influence degree of traffic accidents on the vehicle passing in the unidirectional influence area is effectively judged, and corresponding control signals are generated; the real-time performance of traffic condition monitoring is improved, and the efficiency and accuracy of traffic control are further improved.
Description
Technical Field
The invention relates to the technical field of traffic management, in particular to a computer-integrated networked traffic control system.
Background
Computer integration refers to the combining of various computer hardware and software to build a complete, interoperable system or network.
Computer-integrated networking refers to connecting computer systems over a network to enable them to share, communicate, and cooperate with data and information.
As the keeping amount of private cars continues to increase, the total amount of traffic accidents also increases; when a traffic accident occurs in the road traffic process, the traffic around the accident point is disordered, and the normal traffic is adversely affected; after the existing traffic accident happens, the principal or nearby masses usually give an alarm, then the traffic accident department arrives at the scene, the situation of the traffic accident on the scene is analyzed, then the traffic control measures are decided, the accident handling efficiency is firstly affected, and the traffic control of the traffic accident is mostly dependent on the subjective judgment of the traffic control department at present, although the traffic control has abundant experience, the traffic control measures are decided by the subjective judgment of the single traffic control department, the fault tolerance rate of the traffic control measures is lower, and the traffic accident handling efficiency is affected.
In order to solve the above problems, a technical solution is now provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a computer-integrated networked traffic control system to solve the above-mentioned problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a computer-integrated networked traffic control system comprises a data network integration module, a traffic loss evaluation module, an import influence evaluation module, an accident area judgment module, an area influence evaluation module, a one-way traffic evaluation module and a two-way traffic evaluation module;
and the data network integration module: integrating camera image data acquired by a camera of a road in real time based on network connection;
The traffic loss evaluation module: based on the image data of the camera acquired by the data network integration module in real time, analyzing the traffic capacity of each lane after the traffic accident occurs, and judging whether the vehicle can pass through the lane continuously or not; when the vehicle can continue to pass through the lane, the adverse influence degree of the regional state of the traffic accident on the traffic is estimated;
And (5) merging an influence evaluation module: acquiring the number of vehicles converging into an accident lane, and evaluating the influence of traffic accidents on traffic jams based on analysis of the number of vehicles converging into the accident lane;
An accident area judging module: dividing the accident area into a bidirectional influence area and a unidirectional influence area based on the accident area position;
regional impact assessment module: analyzing comprehensive traffic conditions based on the accident area as a central area, and evaluating the interference degree of the vehicle density of the surrounding roads on the vehicle passing of the accident area;
The one-way passage evaluation module: when the vehicles can continuously pass through the lane, comprehensively analyzing the adverse effect degree of the regional state of the traffic accident on traffic and the effect of the traffic accident on traffic jam, and judging the interference degree of the traffic accident on the traffic of the unidirectional influence region;
The bidirectional traffic assessment module: when vehicles can continuously pass through the bidirectional lane, comprehensively analyzing the adverse effect degree of the regional state of the traffic accident on traffic, the effect of the traffic accident on traffic jam and the interference degree of the vehicle density of the surrounding roads on the traffic of the accident region, and judging the interference degree of the traffic accident on the traffic of the bidirectional effect region.
In a preferred embodiment, the road camera is connected to a computer-integrated network via a network connection, and camera image data is acquired in real time and transmitted to a central server.
In a preferred embodiment, the image data of the camera is obtained from the data network integration module in real time;
Based on target detection, the image recognition is used for acquiring the spatial characteristics of the accident area, wherein the spatial characteristics of the accident area comprise the accident area and the accident area position;
Identifying an area determined as an accident area in target detection by utilizing an image identification technology;
Calculating the accident area based on the target detection and image recognition results;
Acquiring the position of an accident area, and mapping the position to actual geographic coordinates in the image or using a Geographic Information System (GIS);
Analyzing the traffic capacity of each lane after the traffic accident happens:
determining whether the vehicle can continue to pass through the lane in the direction:
Judging whether the width of the accident-free area of the lane is larger than a vehicle running width threshold value, and when the width of the accident-free area of the lane is larger than or equal to the vehicle running width threshold value, allowing the vehicle to continuously pass through the lane; if the vehicle can continue to pass through the lane, the traffic loss evaluation module generates a traffic capacity analysis signal and calculates an accident traffic loss value;
when the width of the accident-free area is smaller than the vehicle driving width threshold value, the vehicle can not pass through the lane continuously, and the traffic loss evaluation module generates a traffic control signal.
In a preferred embodiment, the accident pass loss value acquisition logic is: acquiring the total width of the accident-free area where the vehicle can continuously pass through the lane, and marking the total width of the accident-free area where the vehicle can continuously pass through the lane as the accident-passable width;
acquiring the length of an accident area of the lane, acquiring the width of the lane, and marking the difference value between the width of the lane and the passable width of the accident as the accident loss width;
and calculating the ratio of the accident loss width to the width of the lane, and marking the product of the ratio of the accident loss width to the width of the lane and the length of the accident area as an accident passing loss value.
In a preferred embodiment, in the junction impact assessment module, the junction accident lane of the direction lane after the traffic accident occurs is acquired; the traffic accident converging lane is a lane which can converge into the traffic accident and is connected with the traffic accident lane;
acquiring the number of vehicles converging into an accident lane in real time; acquiring the number of basic bearing vehicles, wherein the number of basic bearing vehicles is the ratio of the density of the basic vehicles to the area of a road converging into an accident lane;
The ratio of the number of vehicles converging into the accident lane to the number of basic-bearing vehicles is marked as a vehicle converging pressure value.
In a preferred embodiment, the accident area is divided into a bidirectional influence area and a unidirectional influence area based on the accident area position to judge the situation that the accident area occupies the lane;
The two-way influence area occupies two-way lanes at the same time when the position of the accident area is the two-way influence area, and the one-way influence area occupies only one lane when the position of the accident area is the one-way lane.
In a preferred embodiment, for the unidirectional influence region, when the traffic capacity analysis signal is generated, normalizing the accident traffic loss value and the vehicle entry pressure value, and calculating a unidirectional influence traffic capacity loss coefficient through the accident traffic loss value and the vehicle entry pressure value after normalization;
setting a one-way traffic judgment threshold value, and comparing the one-way influence traffic capacity loss coefficient with the one-way traffic judgment threshold value:
When the loss coefficient of the unidirectional influence traffic capacity is larger than the unidirectional traffic judgment threshold value, generating a unidirectional control signal; when the loss coefficient of the unidirectional influence traffic capacity is smaller than or equal to the unidirectional traffic judgment threshold value, generating a unidirectional no-need control signal.
In a preferred embodiment, for the bidirectional impact area, an area accident impact road network is established based on the road section where the accident area is located, namely, the road section where the accident area is located is taken as the center, and the area accident impact road network taking the road section as a framework is established;
Removing swap sections entering the accident lane, and obtaining the vehicle density of the regional accident influence road network of which the section entering the accident lane is removed swap; the vehicle density of the regional accident-influencing road network from which the road segments swap into the accident lane are removed is the ratio of the total number of vehicles in the regional accident-influencing road network from which the road segments swap into the accident lane are removed to the road area of the regional accident-influencing road network from which the road segments swap into the accident lane are removed;
The vehicle density of the regional accident impact road network from which the swap sections of the accident lane are removed is marked as a regional accident integrated impact value.
In a preferred embodiment, for a bidirectional influence area, when traffic capacity analysis signals are generated for lanes in both directions, normalizing accident traffic loss values, vehicle entry pressure values and regional accident comprehensive influence values, and calculating a bidirectional influence traffic capacity loss coefficient according to the accident traffic loss values, the vehicle entry pressure values and the regional accident comprehensive influence values after normalization;
Setting a two-way traffic judgment threshold value, and comparing the two-way influence traffic capacity loss coefficient with the two-way traffic judgment threshold value: when the loss coefficient of the bidirectional influencing traffic capacity is larger than the bidirectional traffic judgment threshold value, generating a bidirectional control signal; and when the loss coefficient of the bidirectional influencing traffic capacity is smaller than or equal to the bidirectional traffic judgment threshold value, generating a bidirectional no-need control signal.
The invention relates to a computer-integrated networked traffic control system, which has the technical effects and advantages that:
1. The method comprises the steps that cameras deployed on a city road are connected through a wired or wireless network, camera image data are acquired in real time and transmitted to a central server, road traffic information can be acquired in real time, the spatial characteristics of a traffic accident area are acquired by utilizing a target detection and image recognition technology, the spatial characteristics comprise area and position, and whether the accident area affects vehicle traffic is judged according to a vehicle driving width threshold value; by means of the rectangular accident area, the accident traffic loss value is calculated, a traffic control signal can be generated according to the traffic loss value, corresponding traffic control measures are implemented, and the traffic accident handling efficiency and the traffic capacity analysis accuracy are improved.
2. The accident area judging module divides the accident area into a bidirectional influence area and a unidirectional influence area through analyzing the position of the accident area, and provides personalized treatment strategies for traffic accidents with different influence types; for the unidirectional influence area, the unidirectional traffic evaluation module comprehensively considers the adverse influence degree of the area state of the traffic accident on traffic and the influence of the traffic accident on traffic jam, effectively judges the influence degree of the traffic accident on the traffic of the unidirectional influence area, and generates a corresponding control signal so as to improve the traffic efficiency.
3. In the bidirectional influence area, the area influence evaluation module comprehensively considers the accident passing loss value, the vehicle remittance pressure value and the area accident comprehensive influence value by establishing an area accident influence road network with the accident area as the center, provides an effective means for comprehensively analyzing the interference degree of the bidirectional traffic capacity, adopts the bidirectional passing evaluation module, judges the influence degree of the traffic accident on the bidirectional influence area through the normalized coefficient, generates corresponding control signals, and provides a more comprehensive traffic accident coping strategy, thereby more effectively guaranteeing smoothness and safety of road passing, improving the real-time property of monitoring traffic conditions, and further improving the efficiency and accuracy of traffic control.
Drawings
FIG. 1 is a schematic diagram of a computer-integrated networked traffic control system according to the present invention;
fig. 2 is a schematic view of the accident area and accident area location 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.
Example 1
Fig. 1 shows a schematic structural diagram of a computer-integrated networked traffic control system according to the present invention, which includes a data network integration module, a traffic loss evaluation module, an entry impact evaluation module, an accident area judgment module, an area impact evaluation module, a unidirectional traffic evaluation module, and a bidirectional traffic evaluation module.
And the data network integration module: and integrating camera image data acquired by the cameras of the road in real time based on network connection.
The traffic loss evaluation module: based on the image data of the camera acquired by the data network integration module in real time, analyzing the traffic capacity of each lane after the traffic accident occurs, and judging whether the vehicle can pass through the lane continuously or not; when the vehicle can continue to pass through the lane, the adverse effect degree of the regional state of the traffic accident on the passing is evaluated.
And (5) merging an influence evaluation module: the number of vehicles converging into the accident lane is acquired, and the influence of the traffic accident on the traffic jam is evaluated based on analysis of the number of vehicles converging into the accident lane.
An accident area judging module: the accident area is divided into a bidirectional influence area and a unidirectional influence area based on the accident area position.
Regional impact assessment module: and analyzing the comprehensive traffic condition of the area based on the accident area as the center, and evaluating the interference degree of the vehicle density of the surrounding roads on the vehicle passing of the accident area.
The one-way passage evaluation module: when the vehicles can continuously pass through the lane, comprehensively analyzing the adverse effect degree of the regional state of the traffic accident on traffic and the effect of the traffic accident on traffic jam, and judging the interference degree of the traffic accident on the traffic of the unidirectional influence region.
The bidirectional traffic assessment module: when vehicles can continuously pass through the bidirectional lane, comprehensively analyzing the adverse effect degree of the regional state of the traffic accident on traffic, the effect of the traffic accident on traffic jam and the interference degree of the vehicle density of the surrounding roads on the traffic of the accident region, and judging the interference degree of the traffic accident on the traffic of the bidirectional effect region.
And the data network integration module: connecting a road camera to a computer integrated network through network connection, acquiring camera image data in real time, and transmitting the camera image data to a central server; the method comprises the following steps:
and acquiring image data of deployment cameras of intersections, arterial roads, sidewalks and the like at key positions of urban roads.
The cameras are connected to a computer integrated network through a wired or wireless network, so that the devices can be interconnected and communicated with a central server; possibly including the use of Ethernet, wi-Fi or other communication techniques to ensure that the cameras are interconnected and communicate with a central server.
And acquiring real-time image data of each camera, and transmitting the real-time image data to a central server through a network.
The central server is computer hardware for integrating the real-time image data of each camera.
The traffic loss evaluation module: and acquiring image data of the camera from the data network integration module in real time.
Based on target detection, the image recognition is used for acquiring the spatial characteristics of the accident area, wherein the spatial characteristics of the accident area comprise the accident area and the accident area position; the method comprises the following steps:
Applying an object detection algorithm, such as a deep learning-based object detection model (e.g., YOLO, fast R-CNN, SSD, etc.), to identify traffic accident objects in the image; the object detection algorithm is able to distinguish between different objects in the image, including vehicles, pedestrians, and possible accident areas.
The image recognition technology is utilized to recognize the area determined as the accident area in the target detection, wherein the image segmentation technology or the image recognition model of the specific object is used to accurately extract the accident area, and the specific object in the image recognition model of the specific object is used as the traffic accident.
Calculating the accident area based on the target detection and image recognition results; this can be achieved by counting the accident area pixels and converting them into the actual area.
The location of the accident area is acquired, including its coordinates in the image or mapped to actual geographic coordinates using a Geographic Information System (GIS), which helps to pinpoint the specific location of the traffic accident.
In general, an urban road is a bidirectional lane, and the situation that the traffic accident area occupies the lane can have a great influence on traffic control.
Urban roads are usually bidirectional lanes, and the traffic capacity of each lane after traffic accidents is analyzed:
Determining whether the vehicle can continue to pass through the lane in the direction: if the vehicle can continue to pass through the lane, the traffic loss evaluation module generates a traffic capacity analysis signal.
And when the traffic loss evaluation module generates a traffic capacity analysis signal, calculating an accident traffic loss value.
And judging whether the vehicle can continuously pass through the lane or not based on an image recognition technology, judging whether the width of the accident-free area of the lane is larger than a vehicle running width threshold value, and if the width of the accident-free area of the lane is larger than or equal to the vehicle running width threshold value, continuously passing through the lane.
The total width of the accident-free area where the vehicle can continue to pass through the lane is obtained, and the total width of the accident-free area where the vehicle can continue to pass through the lane is marked as the accident-passable width.
And acquiring the length of the accident area of the lane, acquiring the width of the lane, and marking the difference value between the width of the lane and the accident passable width as the accident loss width.
And calculating the ratio of the accident loss width to the width of the lane, and marking the product of the ratio of the accident loss width to the width of the lane and the length of the accident area as an accident passing loss value.
The greater the accident passing loss value, the greater the adverse effect degree of the regional state of the traffic accident on passing, and the more unfavorable the passing of vehicles.
The vehicle travel width threshold value is set according to the width of the vehicle, and for example, in an urban road, if the width of a typical private car is 1.8m, the vehicle travel width threshold value may be set to 2.3m.
The length of the accident area is obtained based on the rectangular accident area. The method for acquiring the rectangular accident area comprises the following steps: based on the outline of the accident area, the outline of the accident area is rectangular, namely four most marginal points of the accident area are found, and based on the four most marginal points, the outline of the accident area is converted into a rectangle to obtain a rectangular accident area; using image processing techniques, edge detection algorithms (e.g., canny edge detection) can be used to detect the contours of the accident area; this will generate a binary image containing the contour; using a contour detection algorithm (e.g., findContours functions in the OpenCV library), a contour in the image is found; for each contour, its area and other shape features can be calculated. For the outline of the accident area, four most marginal points are found. This can be achieved by finding the smallest and largest x and y coordinates in the set of contour points. This will give a rectangular bounding box. And constructing a rectangular frame by using the found most edge points, namely, a rectangle determined by the four most edge points, namely, the top, bottom, left and right. This rectangle is the rectangular accident area.
To better understand the acquisition of the rectangular accident area, specific codes for the acquisition of the rectangular accident area are given below:
import cv2
import numpy as np
# Read the image
image = cv2.imread('accident_image.jpg', cv2.IMREAD_GRAYSCALE)
# Apply edge detection
edges = cv2.Canny(image, 50, 150)
# Find contours
contours,_=cv2.findContours(edges,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
# Find the most outer points
for contour in contours:
# Calculate the contour area
area = cv2.contourArea(contour)
# Find the bounding rectangle of the contour
x, y, w, h = cv2.boundingRect(contour)
# Draw a rectangle on the original image
cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
# Output the coordinates of the top-left and bottom-right corners of the rectangle
print("Top-left corner:", (x, y))
print("Bottom-right corner:", (x + w, y + h))
print("Area:", area)
# Display the result image
cv2.imshow('Rectangularized Accident Area', image)
cv2.waitKey(0)
cv2.destroyAllWindows()
When the width of the accident-free area is smaller than the vehicle driving width threshold value, the vehicle can not pass through the lane continuously, and the traffic loss evaluation module generates a traffic control signal; traffic control is performed on the road in the traveling direction of the affected area: including prohibiting the vehicle from driving into an accident road and guiding the vehicle to bypass.
The step of judging the situation that the accident area occupies the lane based on the accident area position and the traffic capacity after the traffic accident can be realized based on the technologies of target detection, image recognition, image processing and the like, and the prior art is mature and is not repeated here.
And (5) merging an influence evaluation module: the method comprises the steps of acquiring an incoming accident lane of the traffic accident to a lane, wherein the incoming accident lane refers to a lane which can be imported into the traffic accident and is connected with the traffic accident lane.
For example, if the intersection before the lane after the traffic accident is an intersection, there are three incoming accident lanes. The lanes corresponding to each incoming accident lane are a straight lane, a left turning lane and a right turning channel respectively. The lanes are based on signal lamps, and the road is divided into a plurality of lanes.
Acquiring the number of vehicles converging into an accident lane in real time; the number of base vehicles is obtained, which may be calculated based on the density of the base vehicles, and the number of base vehicles may be a ratio of the density of the base vehicles to the area of the road merging into the accident lane.
The ratio of the number of vehicles converging into the accident lane to the number of basic bearing vehicles is marked as a vehicle converging pressure value, and the larger the vehicle converging pressure value is, the higher the vehicle converging pressure value is, on the premise that the road section has traffic accidents, the larger the number of vehicles converging into the accident lane is, which possibly causes overload of road systems at intersections or converging areas, and further causes traffic jam; because of the greater density of vehicles, the risk of intersection or merge area accidents may increase; high vehicle inlet pressure values may cause drivers to have difficulty adapting to changes in intersections, increasing the likelihood of accidents; the greater the vehicle sink pressure value, the relatively lower the traffic capacity at the intersection or sink area, which may result in increased vehicle waiting in line, affecting overall traffic capacity.
The base vehicle density is set based on a requirement standard for the degree of congestion (vehicle density) of the urban road, and other practical conditions.
Fig. 2 shows a schematic view of an accident area and an accident area position, in which Cm is an accident area and Dc is a lane of the accident area.
An accident area judging module: and judging the situation that the accident area occupies the lane based on the accident area position, and dividing the accident area into a bidirectional influence area and a unidirectional influence area.
The two-way influence area occupies two-way lanes at the same time when the position of the accident area is the two-way influence area, and the one-way influence area occupies only one lane when the position of the accident area is the one-way lane.
The one-way passage evaluation module: for the unidirectional influence area, when a traffic capacity analysis signal is generated, at the moment, the accident traffic loss value and the vehicle entry pressure value are comprehensively analyzed, and the interference degree of traffic accidents on the traffic of the unidirectional influence area is analyzed in real time, wherein the method specifically comprises the following steps:
And carrying out normalization processing on the accident passing loss value and the vehicle remittance pressure value, and calculating a loss coefficient of the unidirectional influence passing capacity through the accident passing loss value and the vehicle remittance pressure value after the normalization processing.
For example, the present invention may calculate the one-way influence traffic capacity loss coefficient using the following formula: ; wherein/> The loss coefficient of the one-way influence traffic capacity, the accident traffic loss value and the vehicle entry pressure value are respectively; /(I)Preset proportionality coefficients of accident passing loss value and vehicle remittance pressure value respectively, and/>Are all greater than 0.
The greater the loss coefficient of the unidirectional influence traffic capacity, the greater the disturbance degree of the traffic accident to the vehicle traffic in the unidirectional influence area, the worse the traffic capacity of the accident road section, and the more the traffic control is needed.
Setting a one-way traffic judgment threshold value, and comparing the one-way influence traffic capacity loss coefficient with the one-way traffic judgment threshold value:
When the loss coefficient of the unidirectional influence traffic capacity is larger than the unidirectional traffic judgment threshold value, generating a unidirectional control signal, and at the moment, prohibiting or limiting the vehicles which are converged into the accident lane from driving into the accident road according to the generated unidirectional control signal, and guiding the vehicles to bypass to drive.
When the loss coefficient of the unidirectional influence traffic capacity is smaller than or equal to the unidirectional traffic judgment threshold value, a unidirectional no-control signal is generated, and at the moment, measures are not required to be taken according to the generated unidirectional no-control signal, but the passing vehicles can be reminded, such as a notice board, a warning lamp and the like.
The unidirectional traffic judgment threshold is set by a person skilled in the art according to the size of the unidirectional traffic capacity loss coefficient and other practical situations such as a requirement standard for interference of unidirectional traffic capacity, and will not be described herein.
Regional impact assessment module: for the bidirectional influence area, when traffic capacity analysis signals are generated on lanes in two directions, only accident traffic loss values and vehicle entry pressure values are considered to be insufficient, at the moment, traffic accidents influence bidirectional traffic, at the moment, comprehensive traffic conditions of a zone centered on the accident zone are analyzed, and the interference degree of the traffic accidents on the traffic capacity of the vehicles is analyzed more comprehensively.
For the bidirectional influence area, an area accident influence road network is established based on the road section where the accident area is located, namely, the road section where the accident area is located is taken as the center, and the area accident influence road network taking the road section as a framework is established, namely, a network structure taking the road section as a core is established by determining the road section where the accident area is located and the roads connected with the periphery of the road section, the structure reflects the influence of the accident on the peripheral road traffic capacity, and the process comprises the steps of identifying and integrating the road topology relationship of the periphery of the accident area so as to establish a comprehensive and accurate area accident influence road network.
Removing swap sections entering the accident lane, and obtaining the vehicle density of the regional accident influence road network of which the section entering the accident lane is removed swap; the vehicle density of the regional accident-affecting road network from which the road segments swap into the accident lane were removed is the ratio of the total number of vehicles in the regional accident-affecting road network from which the road segments swap into the accident lane were removed to the road area of the regional accident-affecting road network from which the road segments swap into the accident lane were removed.
The vehicle density of the regional accident influence road network from which swap road sections entering the accident lane are removed is marked as a regional accident comprehensive influence value, and the greater the regional accident comprehensive influence value is, the greater the disturbance degree of the vehicle density of the surrounding roads to the vehicle passing of the accident region is, and the greater the adverse influence of traffic pressure caused by traffic accidents is.
The bidirectional traffic assessment module: for the bidirectional influence area, when traffic capacity analysis signals are generated on lanes in two directions, at the moment, accident traffic loss values, vehicle import pressure values and regional accident comprehensive influence values are comprehensively analyzed, and the interference degree of traffic accidents on the traffic of the bidirectional influence area is analyzed in real time, wherein the method specifically comprises the following steps:
And carrying out normalization processing on the accident passing loss value, the vehicle collecting pressure value and the regional accident comprehensive influence value, and calculating a two-way influence traffic capacity loss coefficient through the accident passing loss value, the vehicle collecting pressure value and the regional accident comprehensive influence value after normalization processing.
For example, the present invention can calculate the two-way influence traffic capacity loss coefficient by using the following formula: ; wherein/> The system is respectively a loss coefficient of the bidirectional traffic capacity, an accident traffic loss value, a vehicle afflux pressure value and a regional accident comprehensive influence value; preset proportional coefficients of accident passing loss value, vehicle afflux pressure value and regional accident comprehensive influence value respectively, and/> Are all greater than 0.
The greater the loss coefficient of the two-way influence traffic capacity, the greater the interference degree of the traffic accident on the traffic of the two-way influence area, the worse the traffic capacity of the accident road section, and the more the traffic control is needed.
Setting a two-way traffic judgment threshold value, and comparing the two-way influence traffic capacity loss coefficient with the two-way traffic judgment threshold value:
When the loss coefficient of the bidirectional influencing traffic capacity is larger than the bidirectional traffic judgment threshold value, generating a bidirectional control signal, and at the moment, prohibiting or limiting the vehicles of the regional accident influencing road network from driving into the accident road according to the generated bidirectional control signal, and guiding the vehicles to bypass to drive.
When the loss coefficient of the bidirectional influence traffic capacity is smaller than or equal to the bidirectional traffic judgment threshold value, a bidirectional no-control signal is generated, and at the moment, measures are not required to be taken according to the generated bidirectional no-control signal, but the passing vehicles can be reminded, such as a notice board, a warning lamp and the like.
The bidirectional traffic judgment threshold is set by a person skilled in the art according to the magnitude of the bidirectional traffic loss factor and other practical situations such as the requirement standard for the interference of the bidirectional traffic capacity, and will not be described herein.
It is noted that the roads, lanes, road segments and road segments in the present invention are all motor vehicle lanes, and the vehicles are all motor vehicles.
The above formulas are all formulas with dimensionality removed and numerical calculation, the formulas are formulas with the latest real situation obtained by software simulation through collecting a large amount of data, and preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative modules and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, may be located in one place, or may be distributed over multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (3)
1. A computer-integrated networked traffic control system, characterized in that: the system comprises a data network integration module, a traffic loss evaluation module, an import influence evaluation module, an accident area judgment module, an area influence evaluation module, a one-way traffic evaluation module and a two-way traffic evaluation module;
and the data network integration module: integrating camera image data acquired by a camera of a road in real time based on network connection;
The traffic loss evaluation module: based on the image data of the camera acquired by the data network integration module in real time, analyzing the traffic capacity of each lane after the traffic accident occurs, and judging whether the vehicle can pass through the lane continuously or not; when the vehicle can continue to pass through the lane, the adverse influence degree of the regional state of the traffic accident on the traffic is estimated;
And (5) merging an influence evaluation module: acquiring the number of vehicles converging into an accident lane, and evaluating the influence of traffic accidents on traffic jams based on analysis of the number of vehicles converging into the accident lane;
An accident area judging module: dividing the accident area into a bidirectional influence area and a unidirectional influence area based on the accident area position;
regional impact assessment module: analyzing comprehensive traffic conditions based on the accident area as a central area, and evaluating the interference degree of the vehicle density of the surrounding roads on the vehicle passing of the accident area;
The one-way passage evaluation module: when the vehicles can continuously pass through the lane, comprehensively analyzing the adverse effect degree of the regional state of the traffic accident on traffic and the effect of the traffic accident on traffic jam, and judging the interference degree of the traffic accident on the traffic of the unidirectional influence region;
The bidirectional traffic assessment module: when vehicles can continuously pass through the bidirectional lane, comprehensively analyzing the adverse effect degree of the regional state of the traffic accident on traffic, the effect of the traffic accident on traffic jam and the interference degree of the vehicle density of the surrounding roads on the traffic of the accident region, and judging the interference degree of the traffic accident on the traffic of the bidirectional effect region;
Connecting a road camera to a computer integrated network through network connection, acquiring camera image data in real time, and transmitting the camera image data to a central server;
acquiring image data of a camera from a data network integration module in real time;
Based on target detection, the image recognition is used for acquiring the spatial characteristics of the accident area, wherein the spatial characteristics of the accident area comprise the accident area and the accident area position;
Identifying an area determined as an accident area in target detection by utilizing an image identification technology;
Calculating the accident area based on the target detection and image recognition results;
Acquiring coordinates of the accident area position in the image, or mapping the accident area to actual geographic coordinates by using a Geographic Information System (GIS);
Analyzing the traffic capacity of each lane after the traffic accident happens:
determining whether the vehicle can continue to pass through the lane in the direction:
Judging whether the width of the accident-free area of the lane is larger than a vehicle running width threshold value, and when the width of the accident-free area of the lane is larger than or equal to the vehicle running width threshold value, allowing the vehicle to continuously pass through the lane; if the vehicle can continue to pass through the lane, the traffic loss evaluation module generates a traffic capacity analysis signal and calculates an accident traffic loss value;
When the width of the accident-free area is smaller than the vehicle driving width threshold value, the vehicle can not pass through the lane continuously, and the traffic loss evaluation module generates a traffic control signal;
The acquisition logic of the accident traffic loss value is as follows: acquiring the total width of the accident-free area where the vehicle continuously passes through the lane, and marking the total width of the accident-free area where the vehicle continuously passes through the lane as the accident-passable width;
acquiring the length of an accident area of the lane, acquiring the width of the lane, and marking the difference value between the width of the lane and the passable width of the accident as the accident loss width;
Calculating the ratio of the accident loss width to the width of the lane, and marking the product of the ratio of the accident loss width to the width of the lane and the length of the accident area as an accident passing loss value;
acquiring an incoming accident lane of the lane after the traffic accident occurs in an incoming influence evaluation module; the incoming accident lane refers to a lane which can be imported into the lane where the traffic accident is located and is connected with the lane where the traffic accident is located;
acquiring the number of vehicles converging into an accident lane in real time; acquiring the number of basic bearing vehicles, wherein the number of basic bearing vehicles is the ratio of the density of the basic vehicles to the area of a road converging into an accident lane;
Marking the ratio of the number of vehicles converging into the accident lane to the number of basic bearing vehicles as a vehicle converging pressure value;
judging the situation that the accident area occupies the lane based on the accident area position, and dividing the accident area into a bidirectional influence area and a unidirectional influence area;
the two-way influence area occupies two-way lanes at the same time when the position of the accident area is the position of the accident area, and the one-way influence area occupies only one lane;
For the unidirectional influence area, when a traffic capacity analysis signal is generated, carrying out normalization processing on an accident traffic loss value and a vehicle entry pressure value, and calculating a unidirectional influence traffic capacity loss coefficient through the accident traffic loss value and the vehicle entry pressure value after normalization processing;
setting a one-way traffic judgment threshold value, and comparing the one-way influence traffic capacity loss coefficient with the one-way traffic judgment threshold value:
When the loss coefficient of the unidirectional influence traffic capacity is larger than the unidirectional traffic judgment threshold value, generating a unidirectional control signal; when the loss coefficient of the unidirectional influence traffic capacity is smaller than or equal to the unidirectional traffic judgment threshold value, generating a unidirectional no-need control signal.
2. A computer-integrated networked traffic management and control system according to claim 1, wherein: for the bidirectional influence area, establishing an area accident influence road network based on the road section where the accident area is located, namely, taking the road section where the accident area is located as the center, and establishing an area accident influence road network taking the road section as a framework;
Removing swap sections entering the accident lane, and obtaining the vehicle density of the regional accident influence road network of which the section entering the accident lane is removed swap; the vehicle density of the regional accident-influencing road network from which the road segments swap into the accident lane are removed is the ratio of the total number of vehicles in the regional accident-influencing road network from which the road segments swap into the accident lane are removed to the road area of the regional accident-influencing road network from which the road segments swap into the accident lane are removed;
The vehicle density of the regional accident impact road network from which the swap sections of the accident lane are removed is marked as a regional accident integrated impact value.
3. A computer-integrated networked traffic management and control system according to claim 1, wherein: for the bidirectional influence area, when traffic capacity analysis signals are generated on lanes in two directions, carrying out normalization processing on accident traffic loss values, vehicle import pressure values and regional accident comprehensive influence values, and calculating a bidirectional influence traffic capacity loss coefficient according to the accident traffic loss values, the vehicle import pressure values and the regional accident comprehensive influence values after normalization processing;
Setting a two-way traffic judgment threshold value, and comparing the two-way influence traffic capacity loss coefficient with the two-way traffic judgment threshold value: when the loss coefficient of the bidirectional influencing traffic capacity is larger than the bidirectional traffic judgment threshold value, generating a bidirectional control signal; and when the loss coefficient of the bidirectional influencing traffic capacity is smaller than or equal to the bidirectional traffic judgment threshold value, generating a bidirectional no-need control signal.
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