CN110867086A - Urban road construction traffic organization management system - Google Patents
Urban road construction traffic organization management system Download PDFInfo
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- CN110867086A CN110867086A CN201911104657.1A CN201911104657A CN110867086A CN 110867086 A CN110867086 A CN 110867086A CN 201911104657 A CN201911104657 A CN 201911104657A CN 110867086 A CN110867086 A CN 110867086A
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Abstract
The invention relates to road traffic management, in particular to an urban road construction traffic organization management system, which comprises a server arranged in a control center, a camera monitoring module arranged at an intersection around road construction and used for shooting the running condition of vehicles in each running direction, and a traffic signal lamp control module arranged in a road traffic signal lamp and used for controlling the continuous lighting time of red light and green light, wherein the server establishes wireless communication with the camera monitoring module and the traffic signal lamp control module through a wireless communication module; the technical scheme provided by the invention can effectively overcome the defect that the smoothness and the orderliness of surrounding roads can not be ensured in the road construction process in the prior art.
Description
Technical Field
The invention relates to road traffic management, in particular to an urban road construction traffic organization and management system.
Background
The rapid development of economic society in China drives the rapid development of urbanization construction, and also drives the rapid increase of traffic flow, and the urban traffic problem is increasingly highlighted. Particularly, in urban road reconstruction and extension projects, the requirement of ensuring daily traffic passage while developing road construction is a major topic faced by each traffic management unit and participating units.
On one hand, the occupation of urban road construction operation is a requirement for the construction and development of urban infrastructure; on the other hand, it is a desire for people to reduce the influence of road occupation construction work on traffic and ensure the safety and order of road traffic. The two requirements need to be considered, and the contradiction between the two requirements can be relieved only by adopting a scientific and reasonable traffic organization management system. However, at present, a management system capable of guaranteeing the smoothness and the orderliness of surrounding roads in the road construction process does not exist.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides an urban road construction traffic organization management system, which can effectively overcome the defect that the smoothness and the orderliness of surrounding roads cannot be guaranteed in the road construction process in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
an urban road construction traffic organization management system comprises a server arranged in a control center, a camera monitoring module arranged at intersections around road construction and used for shooting the running conditions of vehicles in all running directions, and a traffic signal lamp control module arranged in a road traffic signal lamp and used for controlling the continuous lighting time of red light and green light, wherein the server establishes wireless communication with the camera monitoring module and the traffic signal lamp control module through a wireless communication module;
the server is connected with an image processing module used for carrying out pixel aggregation on the image shot by the camera monitoring module, the server is connected with a congestion analysis module used for carrying out intersection congestion state analysis according to the image processed by the image processing module, the server is connected with a road condition display module used for labeling different colors on an electronic map according to the intersection congestion state analyzed by the congestion analysis module, the server is connected with a priority ranking module used for ranking the priority of the intersection according to the intersection congestion state analyzed by the congestion analysis module, and the server sends initial red light and green light continuous lighting time to the traffic signal lamp control module according to the ranking result of the priority ranking module;
the server is connected with a traffic flow counting module used for counting the traffic flow of each driving direction of the intersection according to the image processed by the image processing module, the server is connected with a vehicle moving line prediction module used for predicting the traffic flow of the intersection according to the image processed by the image processing module, the server is connected with a traffic flow prediction module used for predicting the traffic flow of the intersection according to the statistical result of the traffic flow counting module and the prediction result of the vehicle moving line prediction module, the server is connected with a traffic flow threshold input module used for inputting the upper limit threshold and the lower limit threshold of the traffic flow of the intersection, the server is connected with a traffic flow judgment module used for comparing the prediction result of the traffic flow prediction module with the upper limit threshold and the lower limit threshold, and the server sends an adjusted red light to the traffic signal lamp control module according to the judgment result of the traffic flow judgment module, The green lamp is continuously turned on;
the system also comprises an ERP management unit for performing information management on the construction traffic scheme, an information issuing and exchanging platform for issuing traffic information, and traffic facilities with wireless communication modules for construction site traffic organization and safety guarantee.
Preferably, the image processing module comprises a model building module for building a superpixel model, and a generating module for generating the image superpixels from the superpixel model.
Preferably, the model construction module performs pixel segmentation on the image shot by the camera monitoring module to obtain a super-pixel model.
Preferably, the method for generating the image superpixel by the generation module comprises the following steps:
s1, selecting K pixel points, and marking the K pixel points as K initial clustering centers of the superpixels;
s2, calculating the distance from each pixel point in the image to each clustering center, and marking the pixel point as the super pixel where the clustering center closest to the pixel point is located;
s3, taking the geometric centers of all pixel points contained in each super pixel as a new clustering center of the super pixel;
and S4, repeating S2 and S3 until the deviation between the new cluster center and the old cluster center of the superpixel is smaller than a preset threshold value, and taking the superpixel as the finally generated superpixel.
Preferably, the method for analyzing the congestion state of the intersection by the congestion analysis module comprises the following steps:
s1, obtaining the historical track of the vehicle, and calculating the running speed of the vehicle passing through the first road section after path matching;
s2, calculating the average running speed and the variance of the vehicle on the first road section according to the running speed of the vehicle on the first road section, and calculating the vehicle running threshold value according to the average running speed and the variance;
s3, capturing the instantaneous speed of a plurality of vehicles running on the current road section, judging whether the instantaneous speed is less than the vehicle running threshold value, and if so, judging that the road section has traffic jam;
and S4, judging the congestion state of the road section according to the deviation situation between the instantaneous speed and the vehicle running threshold value.
Preferably, the road condition display module marks the road congestion state of the intersection according to the analysis result of the congestion analysis module by using a gradual change color from green to red.
Preferably, the green light of the traffic signal light control module in the front crossroad in the sequence of the priority ranking module is continuously on for a longer time than that of the crossroad in the back sequence; the priority sorting module sorts intersections close to the front, and the red light of the traffic signal lamp control module is continuously turned on for a time shorter than that of intersections close to the rear.
Preferably, the traffic flow prediction module adds the traffic flow predicted by the vehicle moving line prediction module to the traffic flow statistical module to predict the traffic flow which may pass through the intersection to obtain the predicted traffic flow.
Preferably, when the prediction result of the traffic flow prediction module is greater than an upper limit threshold, the server prolongs the continuous lighting time of the green light of the traffic signal lamp control module and shortens the continuous lighting time of the red light of the traffic signal lamp control module; when the prediction result of the traffic flow prediction module is smaller than the lower limit threshold, the server prolongs the red lamp continuous lighting time of the traffic signal lamp control module and shortens the green lamp continuous lighting time of the traffic signal lamp control module; otherwise, the server does not adjust the continuous lighting time of the red light and the green light of the traffic signal lamp control module.
(III) advantageous effects
Compared with the prior art, the urban road construction traffic organization management system provided by the invention has the following beneficial effects:
1. the image processing module carries out pixel aggregation on the image shot by the camera monitoring module, the congestion analysis module carries out intersection congestion state analysis according to the image processed by the image processing module, and the road condition display module marks the intersection congestion state analyzed by the congestion analysis module on an electronic map by different colors, so that managers can visually see the passing conditions of surrounding intersections and can timely assign the persons to the congested intersections for artificial management;
2. the priority sequencing module sequences road junction priorities according to the intersection congestion states analyzed by the congestion analysis module, the green light continuous lighting time of the traffic signal lamp control module of the front intersection is longer than that of the intersection behind the intersection in sequence by the priority sequencing module, the red light continuous lighting time of the traffic signal lamp control module of the front intersection is shorter than that of the intersection behind the intersection in sequence by the priority sequencing module, and the red light and green light continuous lighting time of different durations are set according to the congestion states of different intersections, so that management is more pertinent;
3. the traffic flow counting module counts the traffic flow of each driving direction of the intersection according to the image processed by the image processing module, the vehicle moving line prediction module predicts the traffic flow which is likely to pass through the intersection according to the image processed by the image processing module, the traffic flow prediction module adds the vehicle moving line prediction module to predict the traffic flow which is likely to pass through the intersection on the basis of the traffic flow counted by the traffic flow counting module to obtain the predicted traffic flow, the traffic flow judgment module compares the prediction result of the traffic flow prediction module with an upper limit threshold and a lower limit threshold, the server sends the adjusted red light and green light continuous lighting time to the traffic signal lamp control module according to the judgment result of the traffic flow judgment module, on one hand, the predicted traffic flow is taken into consideration, the regulation and control management leaves room, and on the other hand, the regulation and control management is carried out by adopting a feedback means, so that the management is more time-efficient;
4. the ERP management unit can be used for performing information management of compiling, declaring and approving the construction traffic scheme; the construction information can be conveniently shared by all parties in time through the information publishing and exchanging platform, and the accuracy, integrity and timeliness of the construction information are ensured; through installing the thing networking module on traffic facilities, with backstage control system real-time communication, pinpoint the facility position on management and control system electronic map, be convenient for in time discover the problem and take the measure of dealing with, in time guarantee traffic facilities normal operating high-efficiently, the traffic organization and the safety guarantee work of construction influence district during the road construction of service to guarantee the traffic safety in road construction project construction influence district, maintain current order, promote current efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An urban road construction traffic organization management system is shown in figure 1 and comprises a server arranged in a control center, a camera monitoring module arranged at intersections around road construction and used for shooting the running conditions of vehicles in all running directions, and a traffic signal lamp control module arranged in a road traffic signal lamp and used for controlling the continuous lighting time of red light and green light, wherein the server is in wireless communication with the camera monitoring module and the traffic signal lamp control module through a wireless communication module;
the server is connected with an image processing module used for carrying out pixel aggregation on an image shot by the camera monitoring module, the server is connected with a congestion analysis module used for carrying out intersection congestion state analysis according to the image processed by the image processing module, the server is connected with a road condition display module used for labeling different colors on an electronic map according to the intersection congestion state analyzed by the congestion analysis module, the server is connected with a priority sequencing module used for sequencing intersection priorities according to the intersection congestion state analyzed by the congestion analysis module, and the server sends initial red light and green light continuous lighting time to the traffic signal lamp control module according to the sequencing result of the priority sequencing module;
the system comprises a server, a traffic flow counting module, a vehicle flow forecasting module, an upper limit threshold value input module, a lower limit threshold value input module, a traffic flow judging module, a traffic signal lamp and a traffic control module, wherein the server is connected with the traffic flow counting module used for counting the traffic flow of each driving direction of an intersection according to an image processed by the image processing module, the vehicle flow forecasting module is used for forecasting the traffic flow of the intersection according to the image processed by the image processing module, the traffic flow forecasting module is connected with the server, the traffic flow forecasting module is used for forecasting the traffic flow of the intersection according to the counting result of the traffic flow counting module and the forecasting result of the vehicle flow forecasting module, the server is connected with the traffic flow judging module used for comparing the forecasting result of the traffic flow forecasting module with the upper limit threshold value and the lower limit threshold value, and the server, The green lamp is continuously turned on;
the system also comprises an ERP management unit for performing information management on the construction traffic scheme, an information issuing and exchanging platform for issuing traffic information, and traffic facilities with wireless communication modules for construction site traffic organization and safety guarantee.
The image processing module comprises a model building module for building a superpixel model and a generating module for generating the image superpixel according to the superpixel model.
And the model construction module is used for carrying out pixel segmentation on the image shot by the camera monitoring module to obtain a super-pixel model.
The method for generating the image superpixel by the generation module comprises the following steps:
s1, selecting K pixel points, and marking the K pixel points as K initial clustering centers of the superpixels;
s2, calculating the distance from each pixel point in the image to each clustering center, and marking the pixel point as the super pixel where the clustering center closest to the pixel point is located;
s3, taking the geometric centers of all pixel points contained in each super pixel as a new clustering center of the super pixel;
and S4, repeating S2 and S3 until the deviation between the new cluster center and the old cluster center of the superpixel is smaller than a preset threshold value, and taking the superpixel as the finally generated superpixel.
The method for analyzing the intersection congestion state by the congestion analysis module comprises the following steps:
s1, obtaining the historical track of the vehicle, and calculating the running speed of the vehicle passing through the first road section after path matching;
s2, calculating the average running speed and the variance of the vehicle on the first road section according to the running speed of the vehicle on the first road section, and calculating the vehicle running threshold value according to the average running speed and the variance;
s3, capturing the instantaneous speed of a plurality of vehicles running on the current road section, judging whether the instantaneous speed is less than the vehicle running threshold value, and if so, judging that the road section has traffic jam;
and S4, judging the congestion state of the road section according to the deviation situation between the instantaneous speed and the vehicle running threshold value.
And the road condition display module is used for marking the road congestion state of the intersection according to the analysis of the congestion analysis module by adopting a gradual change color from green to red.
The priority sequencing module sequences the intersections close to the front, and the green light of the traffic signal light control module is continuously on for a longer time than the intersections close to the rear; the red light continuous lighting time of the traffic signal light control module at the intersection near the front in the sequence of the priority sequencing module is shorter than that at the intersection near the back in the sequence.
The traffic flow prediction module is added with the vehicle moving line prediction module to predict the traffic flow which possibly passes through the intersection on the basis of the traffic flow statistical module to obtain the predicted traffic flow.
When the prediction result of the traffic flow prediction module is larger than the upper limit threshold value, the server prolongs the continuous lighting time of the green light of the traffic signal lamp control module and shortens the continuous lighting time of the red light of the traffic signal lamp control module; when the prediction result of the traffic flow prediction module is smaller than the lower limit threshold, the server prolongs the red light continuous lighting time of the traffic signal lamp control module and shortens the green light continuous lighting time of the traffic signal lamp control module; otherwise, the server does not adjust the continuous lighting time of the red light and the green light of the traffic signal lamp control module.
The image processing module carries out pixel aggregation on the image shot by the camera monitoring module, the congestion analysis module carries out intersection congestion state analysis according to the image processed by the image processing module, and the road condition display module marks the intersection congestion state analyzed by the congestion analysis module on the electronic map by different colors, so that managers can visually see the passing conditions of surrounding intersections and can timely assign the persons to the congested intersections for manual management.
The image processing module comprises a model building module for building a superpixel model and a generating module for generating the image superpixel according to the superpixel model.
And the model construction module is used for carrying out pixel segmentation on the image shot by the camera monitoring module to obtain a super-pixel model.
The method for generating the image superpixel by the generation module comprises the following steps:
s1, selecting K pixel points, and marking the K pixel points as K initial clustering centers of the superpixels;
s2, calculating the distance from each pixel point in the image to each clustering center, and marking the pixel point as the super pixel where the clustering center closest to the pixel point is located;
s3, taking the geometric centers of all pixel points contained in each super pixel as a new clustering center of the super pixel;
and S4, repeating S2 and S3 until the deviation between the new cluster center and the old cluster center of the superpixel is smaller than a preset threshold value, and taking the superpixel as the finally generated superpixel.
The method for analyzing the intersection congestion state by the congestion analysis module comprises the following steps:
s1, obtaining the historical track of the vehicle, and calculating the running speed of the vehicle passing through the first road section after path matching;
s2, calculating the average running speed and the variance of the vehicle on the first road section according to the running speed of the vehicle on the first road section, and calculating the vehicle running threshold value according to the average running speed and the variance;
s3, capturing the instantaneous speed of a plurality of vehicles running on the current road section, judging whether the instantaneous speed is less than the vehicle running threshold value, and if so, judging that the road section has traffic jam;
and S4, judging the congestion state of the road section according to the deviation situation between the instantaneous speed and the vehicle running threshold value.
And the road condition display module is used for marking the road congestion state of the intersection according to the analysis of the congestion analysis module by adopting a gradual change color from green to red.
The priority sequencing module sequences road junction priorities according to the intersection congestion states analyzed by the congestion analysis module, the green light continuous lighting time of the traffic signal lamp control modules at the intersections close to the front in the sequence of the priority sequencing module is longer than that of the intersections at the rear in the sequence of the priority sequencing module, the red light continuous lighting time of the traffic signal lamp control modules at the intersections close to the front in the sequence of the priority sequencing module is shorter than that of the intersections at the rear in the sequence of the priority sequencing module, and the red light and green light continuous lighting time with different time lengths are set according to the congestion states of different intersections, so that the management is more pertinent.
The traffic flow counting module counts the traffic flow of each driving direction of the intersection according to the image processed by the image processing module, the vehicle moving line prediction module predicts the traffic flow which is likely to pass through the intersection according to the image processed by the image processing module, the traffic flow prediction module adds the vehicle moving line prediction module to predict the traffic flow which is likely to pass through the intersection on the basis of the traffic flow counted by the traffic flow counting module to obtain the predicted traffic flow, the traffic flow judgment module compares the prediction result of the traffic flow prediction module with an upper limit threshold and a lower limit threshold, the server sends the adjusted red light and green light continuous lighting time to the traffic signal lamp control module according to the judgment result of the traffic flow judgment module, on one hand, the predicted traffic flow is taken into consideration, the regulation and control management leaves room, and on the other hand, the feedback means is adopted to carry out the regulation and control management, so that the management has timeliness.
When the prediction result of the traffic flow prediction module is larger than the upper limit threshold value, the server prolongs the continuous lighting time of the green light of the traffic signal lamp control module and shortens the continuous lighting time of the red light of the traffic signal lamp control module; when the prediction result of the traffic flow prediction module is smaller than the lower limit threshold, the server prolongs the red light continuous lighting time of the traffic signal lamp control module and shortens the green light continuous lighting time of the traffic signal lamp control module; otherwise, the server does not adjust the continuous lighting time of the red light and the green light of the traffic signal lamp control module.
Through ERP management unit, can compile, declare, the informationization management who approves to the construction traffic scheme, its main advantage has: firstly, the working efficiency is improved in paperless office work; secondly, workflow management progress dynamic can be queried in real time; thirdly, the file management function is provided, and the operation track can be traced; and fourthly, distributing system authority according to each authority, improving the rigidity of the information system process and avoiding the influence of human factors in the management process.
The information publishing and exchanging platform is convenient for all parties to share information in time, point-to-point communication is changed into point-to-surface communication, all parties can master the operation dynamic state of the construction project in time, information isolated island is avoided, and the accuracy, integrity and timeliness of construction information are ensured.
The Internet of things module is installed on the traffic facility and is in real-time communication with the background control system, the facility position is accurately positioned on the electronic map of the management and control system, firstly, asset management of the traffic facility is achieved, secondly, the running state of the traffic facility can be monitored in real time, thirdly, the electrified facility can be remotely regulated and controlled, fourthly, when the traffic facility breaks down, an alarm can be given in time, meanwhile, on-site video monitoring is started to check the situation, problems can be found in time conveniently, disposal measures can be taken, and normal running of the traffic facility can be guaranteed in time and efficiently.
Traffic facilities include non-electrical type facilities (traffic signs, canalization facilities, isolation barriers, etc.), electrical type facilities (traffic signals, traffic monitoring, etc.).
In addition, in the work of traffic organization and safety guarantee, a traffic assistant is required to be configured in a construction affected area to maintain traffic order and guarantee traffic safety, the position of the traffic assistant is accurately positioned by wearing a video recorder with a positioning function by the assistant, and the video recorder is displayed on an electronic map of a management and control system, so that a traffic management department can accurately master the number, the distribution position and the density of the traffic assistant on posts in real time so as to conveniently schedule manpower according to needs.
The video recorder who disposes has opening concurrently and dormancy function, when command control center personnel need look over the site conditions, can look over the on-the-spot image in real time through certain specific video recorder of remote start of management and control platform to can open dialogue interdynamic, can shoot and record simultaneously whole the file. Each video recorder can construct a local area network video conference, communication and information transmission are facilitated, and meanwhile when technical problems needing assistance occur on the site, technicians can remotely check and assist in processing.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (9)
1. The utility model provides an urban road construction traffic organization management system which characterized in that: the system comprises a server arranged in a control center, a camera monitoring module arranged at intersections around road construction and used for shooting the running conditions of vehicles in all running directions, and a traffic signal lamp control module arranged in a road traffic signal lamp and used for controlling the continuous lighting time of red lamps and green lamps, wherein the server establishes wireless communication with the camera monitoring module and the traffic signal lamp control module through a wireless communication module;
the server is connected with an image processing module used for carrying out pixel aggregation on the image shot by the camera monitoring module, the server is connected with a congestion analysis module used for carrying out intersection congestion state analysis according to the image processed by the image processing module, the server is connected with a road condition display module used for labeling different colors on an electronic map according to the intersection congestion state analyzed by the congestion analysis module, the server is connected with a priority ranking module used for ranking the priority of the intersection according to the intersection congestion state analyzed by the congestion analysis module, and the server sends initial red light and green light continuous lighting time to the traffic signal lamp control module according to the ranking result of the priority ranking module;
the server is connected with a traffic flow counting module used for counting the traffic flow of each driving direction of the intersection according to the image processed by the image processing module, the server is connected with a vehicle moving line prediction module used for predicting the traffic flow of the intersection according to the image processed by the image processing module, the server is connected with a traffic flow prediction module used for predicting the traffic flow of the intersection according to the statistical result of the traffic flow counting module and the prediction result of the vehicle moving line prediction module, the server is connected with a traffic flow threshold input module used for inputting the upper limit threshold and the lower limit threshold of the traffic flow of the intersection, the server is connected with a traffic flow judgment module used for comparing the prediction result of the traffic flow prediction module with the upper limit threshold and the lower limit threshold, and the server sends an adjusted red light to the traffic signal lamp control module according to the judgment result of the traffic flow judgment module, The green lamp is continuously turned on;
the system also comprises an ERP management unit for performing information management on the construction traffic scheme, an information issuing and exchanging platform for issuing traffic information, and traffic facilities with wireless communication modules for construction site traffic organization and safety guarantee.
2. The urban road construction traffic organization management system according to claim 1, characterized in that: the image processing module comprises a model building module for building a superpixel model and a generating module for generating the image superpixel according to the superpixel model.
3. The urban road construction traffic organization management system according to claim 2, characterized in that: and the model construction module is used for carrying out pixel segmentation on the image shot by the camera monitoring module to obtain a super-pixel model.
4. The urban road construction traffic organization management system according to claim 2, characterized in that: the method for generating the image superpixel by the generation module comprises the following steps:
s1, selecting K pixel points, and marking the K pixel points as K initial clustering centers of the superpixels;
s2, calculating the distance from each pixel point in the image to each clustering center, and marking the pixel point as the super pixel where the clustering center closest to the pixel point is located;
s3, taking the geometric centers of all pixel points contained in each super pixel as a new clustering center of the super pixel;
and S4, repeating S2 and S3 until the deviation between the new cluster center and the old cluster center of the superpixel is smaller than a preset threshold value, and taking the superpixel as the finally generated superpixel.
5. The urban road construction traffic organization management system according to claim 1, characterized in that: the method for analyzing the intersection congestion state by the congestion analysis module comprises the following steps:
s1, obtaining the historical track of the vehicle, and calculating the running speed of the vehicle passing through the first road section after path matching;
s2, calculating the average running speed and the variance of the vehicle on the first road section according to the running speed of the vehicle on the first road section, and calculating the vehicle running threshold value according to the average running speed and the variance;
s3, capturing the instantaneous speed of a plurality of vehicles running on the current road section, judging whether the instantaneous speed is less than the vehicle running threshold value, and if so, judging that the road section has traffic jam;
and S4, judging the congestion state of the road section according to the deviation situation between the instantaneous speed and the vehicle running threshold value.
6. The urban road construction traffic organization management system according to claim 1, characterized in that: and the road condition display module marks the road congestion state of the intersection according to the analysis of the congestion analysis module by adopting a gradual change color from green to red.
7. The urban road construction traffic organization management system according to claim 1, characterized in that: the priority sorting module sorts intersections close to the front intersections, and the green lamp of the traffic signal lamp control module is continuously turned on for a longer time than intersections close to the front intersections; the priority sorting module sorts intersections close to the front, and the red light of the traffic signal lamp control module is continuously turned on for a time shorter than that of intersections close to the rear.
8. The urban road construction traffic organization management system according to claim 1, characterized in that: the traffic flow prediction module is added with the vehicle moving line prediction module to predict the traffic flow which possibly passes through the intersection on the basis of the traffic flow counted by the traffic flow counting module to obtain the predicted traffic flow.
9. The urban road construction traffic organization management system according to claim 1, characterized in that: when the prediction result of the traffic flow prediction module is larger than the upper limit threshold value, the server prolongs the continuous lighting time of the green light of the traffic signal lamp control module and shortens the continuous lighting time of the red light of the traffic signal lamp control module; when the prediction result of the traffic flow prediction module is smaller than the lower limit threshold, the server prolongs the red lamp continuous lighting time of the traffic signal lamp control module and shortens the green lamp continuous lighting time of the traffic signal lamp control module; otherwise, the server does not adjust the continuous lighting time of the red light and the green light of the traffic signal lamp control module.
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