CN116740966A - Automatic traffic management system based on digital twinning - Google Patents
Automatic traffic management system based on digital twinning Download PDFInfo
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- 238000007781 pre-processing Methods 0.000 claims abstract description 7
- 238000000034 method Methods 0.000 claims description 12
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
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Abstract
The invention discloses an automatic traffic management system based on digital twinning, in particular to the digital twinning field, which comprises a road map drawing module, a road information importing module, a road area monitoring equipment setting module, a road area dividing module, a data acquisition module, an automobile and pedestrian data preprocessing module, a secondary data acquisition module, a secondary data processing module, a data analysis module, a density characteristic value judging module and a traffic light control module, wherein the invention is used for drawing a map to be detected and inputting the map into the digital twinning system to generate a road map, acquiring the quantity of automobiles passing through intersections and the data passing through pedestrians in each monitoring subarea, and calculating a first metric value through the acquired data; collecting the date in each monitoring subarea, the weather of the intersection and the average speed of the passing of the automobile again, feeding the data back to the intelligent traffic digital model, and calculating the environmental characteristic value through the data; and (3) sorting and analyzing the first metric value and the environmental characteristic value to obtain a density characteristic value, comparing the density characteristic value with a density characteristic value threshold value, and outputting different instructions so as to output the different instructions to a traffic light control module, and taking corresponding measures according to the different instructions.
Description
Technical Field
The invention relates to the technical field of digital twinning automation, in particular to an automatic traffic management system based on digital twinning.
Background
In order to alleviate the problem of traffic jam, china is improved in various aspects, including adding more effective transportation vehicles such as high-speed rails, subways and the like. However, there is no good solution to the management of traffic flows and improvements are still needed.
The most significant problem for urban traffic is traffic jams. At present, the reasons for traffic jam mainly include increased automobile utilization rate, insufficient road capacity, excessive road junctions and the like. In order to solve the problem, governments take various measures, such as road broadening, traffic engineering measures for establishing urban three-dimensional traffic networks, policy measures for controlling license plate distribution and traffic road section flow limit control, and the like; however, it can be seen that traffic jams are often caused by not global traffic flow but local traffic flow, so that it is necessary to conduct and dredge the traffic flow, and if the traffic flow is conducted before occurrence or the traffic flow of the following vehicles is conducted immediately after occurrence of the traffic jam, the traffic jam can be controlled within an affordable range.
However, in practical use, the system still has some disadvantages, such as the traditional technology is used for judging whether traffic jam is caused by manual sense basically, and the existing intelligent traffic technology is insufficient in terms of processing and analyzing means of the traffic jam, so that an automatic traffic management system based on digital twinning is provided.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, embodiments of the present invention provide an automated traffic management system based on digital twinning, which solves the above-mentioned problems of the related art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
preferably, the road map drawing module is used for drawing a map of a road to be measured, and labeling each monitoring subarea on the drawn map to form a road map;
preferably, the road information importing module: the road map is used for importing the road map into the digital twin system, and road management personnel input the intersection information into the system; the intersection information input comprises intersection length and width, intersection names and the number of intersection traffic lights.
Preferably, the road area monitoring device setting module: the camera is used for setting a first camera on a road traffic light and setting a second camera on a pedestrian road; the first cameras are used for collecting the number of automobiles passing through the intersections and the number of pedestrians passing through the intersections in each monitoring subarea; the second camera is used for collecting the date in each monitoring subarea, the weather at the intersection and the average speed of the passing automobile.
Preferably, the road area dividing module is configured to divide the target road area into each monitoring subarea according to the start of the a-th intersection to the stop of the a+1th intersection, and sequentially numbers the monitoring subareas as follows: 1,2,3, … …, n;
preferably, the data acquisition module is used for acquiring the number of vehicles passing through green lights and the number of people passing through green light pedestrians in preset time periods of intersections in all monitoring subareas in real time by using the first camera; the shooting tool is used for collecting vehicles and people passing through the intersection in a preset time period in real time through the high-definition camera, wherein the preset time period is t, and t is smaller than one minute.
Preferably, the automobile and pedestrian data preprocessing module is used for inputting data acquired by the first camera into the digital twin system, constructing an intelligent traffic management digital model to predict road congestion and control traffic light signal time, and calculating a first metric value according to the number of automobiles passing through green lights and the number of people passing through green lights and pedestrians in a preset time period; the digital twin system maps the acquired data and the scene to the digital world and builds the scene one by one; the algorithm of the first metric value is specifically:
in which MH 1 (i) A first metric value representing intersection i, n representing the number of intersections in the road, and x if a road connection exists between intersection i and intersection j ij =1, otherwise x ij ＝0；m c The number of the vehicles passing through in a preset time period is set; m is m r Is the number of people passing in a preset time period.
Preferably, the secondary data acquisition module is used for acquiring the date in each monitoring subarea, the weather at the intersection and the average speed of the passing of the automobile in real time; and the secondary data acquisition data is required to acquire the mapping relation between the traffic flow and weather and date in the monitoring period from each monitoring subarea.
Preferably, the secondary data processing module is used for feeding back the acquired data to the intelligent traffic management digital model, and then calculating an environment characteristic value through weather at the intersection and average speed of automobile passing; in the secondary processing data, the calculating method of the environmental characteristic value comprises the following steps:
wherein V is the speed of the vehicle, K is the traffic density, and is generally obtained by monitoring the area of the area and the number of vehicles; v (V) f At free flow velocity, K j Is the maximum traffic density;
in which MH 2 (i) A second metric value representing intersection i, d (s, t) representing the number of shortest paths between intersection s and intersection t, di (s, t) representing the number of shortest paths between intersection s and intersection t that pass through intersection i;
wherein HM is an environmental characteristic value, eta is a weather index, and weather isThe weather is 3, 2 and 1 when weather is other days.
Preferably, the data analysis module is used for carrying out arrangement analysis on traffic flow and environment characteristic values, and calculating to obtain a density characteristic value through two items of data; the calculation method of the density characteristic value in the data analysis module specifically comprises the following steps:
where ω is other influencing factor.
Preferably, the density characteristic value judging module: the method comprises the steps of judging and calculating a density characteristic value and comparing the density characteristic value with a density characteristic value threshold value, and outputting an intersection traffic jam instruction if the density characteristic value reaches a set characteristic value threshold value; if the density characteristic value does not reach the set characteristic value threshold value, outputting an uncongested instruction of the intersection; in the density characteristic value judging module, if F ρ ＞ΔF ρ ，ΔF ρ If the traffic light is a density characteristic value threshold value, the intersection is very congested, and the traffic light passing time needs to be adjusted; if F ρ ＜ΔF ρ The intersection is not congested, and traffic light passing time does not need to be adjusted.
Preferably, the traffic light control module: the digital twin system is used for inputting the instruction output by the judging module into the digital twin system, and making a corresponding processing mode according to the output instruction. The traffic light control module comprises an acquisition unit and a control unit;
an acquisition unit: the system comprises a digital twin traffic system, a digital real-time monitoring system and a digital real-time monitoring system, wherein the digital real-time monitoring system is used for continuously acquiring real-time feedback data of a vehicle and density characteristic values in each monitoring subarea, determining the real-time position of the vehicle in the digital twin traffic system, and distributing virtual traffic lights to each virtual road intersection in the digital twin traffic system so as to enable the virtual traffic lights to be matched with actual data information;
and a control unit: when the real-time position of the vehicle enters a judging range corresponding to any virtual road intersection, determining lane position information of the vehicle based on real-time feedback data, generating a control instruction based on target virtual traffic light signal information corresponding to the lane position information, and when the output instruction of the judging module is very congested, generating an instruction for reducing red light time and increasing green light time so as to solve the congestion problem in the monitoring subarea; if the output instruction of the judging module is not congestion, the group needs to generate an instruction with unchanged traffic light time.
The invention has the technical effects and advantages that:
based on the monitoring of the digital twin system on the road condition information, the congestion condition is judged, and the traffic light passing time can be changed in advance by predicting the road condition information, so that the congestion condition is prevented.
Drawings
Fig. 1 is a schematic diagram of the overall structure of the present invention.
FIG. 2 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides an automatic traffic management system based on digital twinning, which comprises a road map drawing module, a road information importing module, a road area monitoring device setting module, a road area dividing module, a data acquisition module, an automobile and pedestrian data preprocessing module, a secondary data acquisition module, a secondary data processing module, a data analysis module, a density characteristic value judging module and a traffic light control module.
The road map drawing module is connected with the road information importing module, the road information importing module is connected with the road monitoring equipment setting module, the road monitoring equipment setting module is connected with the road area dividing module, the road area dividing module is connected with the data acquisition module, the data acquisition module is connected with the automobile and pedestrian data preprocessing module, the automobile and pedestrian data preprocessing module is connected with the secondary data acquisition module, the secondary data acquisition module is connected with the secondary data processing module, the secondary data processing module is connected with the data analysis module, the data analysis module is connected with the density characteristic value judging module, and the density characteristic value is connected with the traffic light control module.
The road map drawing module is used for drawing a map of a road to be measured, and labeling each monitoring subarea on the drawn map to form a road map;
the road information importing module is used for: the road map is used for importing the road map into the digital twin system, and road management personnel input the intersection information into the system; the intersection information input comprises intersection length and width, intersection names and the number of intersection traffic lights.
The road area monitoring equipment setting module is as follows: the camera is used for setting a first camera on a road traffic light and setting a second camera on a pedestrian road; the first cameras are used for collecting the number of automobiles passing through the intersections and the number of pedestrians passing through the intersections in each monitoring subarea; the second camera is used for collecting the date in each monitoring subarea, the weather at the intersection and the average speed of the passing automobile.
The road area dividing module is used for dividing the target road area into monitoring subareas according to the start of the a-th intersection to the stop of the a+1th intersection, and the monitoring subareas are numbered as follows: 1,2,3, … …, n;
the data acquisition module is used for acquiring the number of vehicles passing through green lights and the number of people passing through green lights and pedestrians in preset time periods of intersections in all monitoring subareas in real time by using shooting tools.
In one possible design, the shooting tool acquires vehicles and people passing through the intersection in a preset time period for the high-definition camera in real time, wherein the preset time period is t, and t is less than one minute.
The automobile and pedestrian data preprocessing module is used for inputting acquired data into the digital twin system, constructing an intelligent traffic management digital model for prediction and control, and calculating a first metric value according to the number of automobiles passing through green lights and the number of people passing through green lights and pedestrians in a preset time period;
in one possible design, the digital twin system maps the acquired data and scene to the digital world and builds the scene one to one, and the algorithm of the first metric value is specifically:in which MH 1 (i) A first metric value representing intersection i, n representing the number of intersections in the road, and x if a road connection exists between intersection i and intersection j ij =1, otherwise x ij ＝0；m c The number of the vehicles passing through in a preset time period is set; m is m r Is the number of people passing in a preset time period.
The secondary data acquisition module is used for acquiring the date in each monitoring subarea, the weather at the intersection and the average speed of the passing of the automobile in real time; the data need to obtain the mapping relation between the traffic flow and weather and date in the monitoring period from each monitoring subarea.
The secondary data processing module is used for feeding back the acquired data to the intelligent traffic management digital model, and calculating an environment characteristic value according to weather at the intersection and the average speed of the automobile;
in one possible design, the algorithm of the environmental characteristic value is specifically:
wherein V is the speed of the vehicle, K is the traffic density, and is generally obtained by monitoring the area of the area and the number of vehicles; v (V) f At free flow velocity, K j Is the maximum traffic density;
in which MH 2 (i) A second metric value representing intersection i, d (s, t) representing the number of shortest paths between intersection s and intersection t, di (s, t) representing the number of shortest paths between intersection s and intersection t that pass through intersection i;
where HM is the environmental eigenvalue and η is the weather index.
The data analysis module is used for carrying out arrangement analysis on traffic flow and environment characteristic values, and calculating to obtain a density characteristic value through two items of data;
in one possible design, the algorithm for the density characteristic value is specifically:
where ω is other influencing factor.
The density characteristic value judging module is used for judging and calculating a density characteristic value and comparing the density characteristic value with a density characteristic value threshold value, and outputting the intersection traffic jam command if the density characteristic value reaches a set characteristic value threshold value; if the density characteristic value does not reach the set characteristic value threshold value, outputting the intersection uncongested instruction.
In one possible design, the method of judgment is specifically as follows:
if F ρ ＞ΔF ρ ，ΔF ρ If the traffic light is a density characteristic value threshold value, the intersection is very congested, and the traffic light passing time needs to be adjusted; if F ρ ＜ΔF ρ The intersection is not congested, and traffic light passing time does not need to be adjusted.
The traffic light control module is used for inputting the instruction output by the judging module into the digital twin system, and making a corresponding processing mode according to the output instruction.
In one possible design, the corresponding processing mode is specifically:
an acquisition unit: the system comprises a digital twin traffic system, a digital real-time monitoring system and a digital real-time monitoring system, wherein the digital real-time monitoring system is used for continuously acquiring real-time feedback data of a vehicle and density characteristic values in each monitoring subarea, determining the real-time position of the vehicle in the digital twin traffic system, and distributing virtual traffic lights to each virtual road intersection in the digital twin traffic system so as to enable the virtual traffic lights to be matched with actual data information;
and a control unit: when the real-time position of the vehicle enters a judging range corresponding to any virtual road intersection, determining lane position information of the vehicle based on real-time feedback data, generating a control instruction based on target virtual traffic light signal information corresponding to the lane position information, and when the output instruction of the judging module is very congested, generating an instruction for reducing red light time and increasing green light time so as to solve the congestion problem in the monitoring subarea; if the output instruction of the judging module is not congestion, the group needs to generate an instruction with unchanged traffic light time.
Referring to fig. 2, in this embodiment, it should be specifically noted that the present invention provides an automated traffic management system based on digital twinning, which includes the following steps:
a01: map drawing is carried out on the road to be tested, each monitoring subarea is marked on the drawn map, and a road map is formed
A02: importing the road map into a digital twin system, and inputting the intersection information into the system by a road manager
A03: the first camera is arranged on a road traffic light, and the second camera is arranged on a pedestrian road
A04: dividing the target road area into monitoring subareas according to the start of the a-th intersection to the stop of the a+1th intersection, and sequentially numbering the monitoring subareas as follows: 1,2,3, … …, n;
a05: collecting the number of vehicles and pedestrians passing through a preset time period in each monitoring subarea;
a06: inputting the data into a digital twin system, constructing an intelligent traffic model for prediction and control, and calculating a first metric value according to the data;
a07: collecting dates in each monitoring subarea, weather of intersections and average speed of automobiles again;
a08: the collected data is fed back to the intelligent traffic model, and then the environmental characteristic value is calculated through the data;
a09: calculating a density characteristic value according to the first metric value and the environment characteristic value;
a10: comparing the calculated density characteristic value with a threshold value to obtain an instruction;
a11: when the output instruction of the judging module is very congestion, an instruction for reducing the red light time and increasing the green light time is required to be generated so as to solve the congestion problem in the monitoring subarea; if the output instruction of the judging module is not congestion, an instruction with unchanged traffic light time needs to be generated.
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 (10)
1. An automated traffic management system based on digital twinning, comprising:
and a road map drawing module: the method comprises the steps of carrying out map drawing on a road to be detected, and marking each monitoring subarea on the drawn map to form a road map;
the road information importing module: the road map is used for importing the road map into the digital twin system, and road management personnel input the intersection information into the system;
road area monitoring equipment sets up the module: the camera is used for setting a first camera on a road traffic light and setting a second camera on a pedestrian road;
road area dividing module: the method is used for dividing the target road area into monitoring subareas according to the start of the a-th intersection to the stop of the a+1th intersection, and the monitoring subareas are numbered as follows: 1,2,3, … …, n;
and a data acquisition module: the method comprises the steps that a first camera is used for collecting the number of vehicles passing through green lights and the number of people passing through green light pedestrians in preset time periods of intersections in all monitoring subareas in real time;
the data preprocessing module for automobiles and pedestrians: the intelligent traffic management system comprises a digital twin system, a digital intelligent traffic management model, a traffic light signal time control system, a first measurement value, a second measurement value, a third measurement value and a fourth measurement value, wherein the digital intelligent traffic management model is built for road congestion prediction and traffic light signal time control, and the first measurement value is calculated according to the number of vehicles passing through green lights and the number of people passing through green lights and pedestrians in a preset time period;
and the secondary data acquisition module is used for: the method comprises the steps that a second camera is used for collecting the date in each monitoring subarea, the weather of an intersection and the average speed of the passing of an automobile in real time;
and the secondary data processing module is used for: the method comprises the steps of feeding back collected data to an intelligent traffic management digital model, and calculating an environment characteristic value according to weather at an intersection and average speed of automobile passing;
and a data analysis module: the method is used for carrying out arrangement analysis on traffic flow and environment characteristic values, and calculating to obtain a density characteristic value through two items of data;
the density characteristic value judging module is used for: the method comprises the steps of judging and calculating a density characteristic value and comparing the density characteristic value with a density characteristic value threshold value, and outputting an intersection traffic jam instruction if the density characteristic value reaches a set characteristic value threshold value; if the density characteristic value does not reach the set characteristic value threshold value, outputting an uncongested instruction of the intersection;
traffic light control module: the digital twin system is used for inputting the instruction output by the judging module into the digital twin system, and making a corresponding processing mode according to the output instruction.
2. An automated traffic management system based on digital twinning according to claim 1, wherein: the intersection information input comprises intersection length and width, intersection names and the number of intersection traffic lights.
3. An automated traffic management system based on digital twinning according to claim 1, wherein: the first cameras are used for collecting the number of automobiles passing through the intersections and the number of pedestrians passing through the intersections in each monitoring subarea; the second camera is used for collecting the date in each monitoring subarea, the weather at the intersection and the average speed of the passing automobile.
4. An automated traffic management system based on digital twinning according to claim 1, wherein: the shooting tool is used for acquiring vehicles and people passing through the intersection in real time within a preset time period of the intersection by the aid of the high-definition camera, wherein the preset time period is t, and t is smaller than one minute.
5. An automated traffic management system based on digital twinning according to claim 1, wherein: the digital twin system maps the acquired data and the scene to the digital world and builds the scene one by one; the algorithm of the first metric value is specifically:
wherein, n represents the number of intersections in the road, if road connection exists between the intersection i and the intersection j, then=1, otherwise=0; the number of the vehicles passing through in a preset time period is set; is the number of people passing in a preset time period.
6. An automated traffic management system based on digital twinning according to claim 1, wherein: the secondary data acquisition data need to acquire the mapping relation between the average speed of the vehicle in the monitoring period and weather and date from each monitoring subarea; the average speed of the weather, if the weather is sunny, the average speed is faster; if the date is a working day, the average vehicle speed is faster; if the date is a holiday, the average vehicle speed is slower.
7. An automated traffic management system based on digital twinning according to claim 1, wherein: in the secondary processing data, the calculating method of the environmental characteristic value comprises the following steps:
wherein V is the speed of the vehicle, K is the traffic density, and is generally obtained by monitoring the area of the area and the number of vehicles; the free flow speed is the maximum traffic density;
wherein the second metric value representing intersection i represents the number of shortest paths between intersection s and intersection t, and represents the number of shortest paths between intersection s and intersection t that pass through intersection i;
wherein HM is an environmental characteristic value and is a weather index.
8. An automated traffic management system based on digital twinning according to claim 1, wherein: the calculation method of the density characteristic value in the data analysis module specifically comprises the following steps:
among other influencing factors.
9. An automated traffic management system based on digital twinning according to claim 1, wherein: in the density characteristic value judging module, if the traffic light is a density characteristic value threshold value, the intersection is very congested, and the traffic light passing time needs to be adjusted; if the traffic light is not blocked, the traffic light passing time is not required to be adjusted.
10. An automated traffic management system based on digital twinning according to claim 1, wherein: the traffic light control module comprises an acquisition unit and a control unit;
an acquisition unit: the system comprises a digital twin traffic system, a digital real-time monitoring system and a digital real-time monitoring system, wherein the digital real-time monitoring system is used for continuously acquiring real-time feedback data of a vehicle and density characteristic values in each monitoring subarea, determining the real-time position of the vehicle in the digital twin traffic system, and distributing virtual traffic lights to each virtual road intersection in the digital twin traffic system so as to enable the virtual traffic lights to be matched with actual data information;
and a control unit: when the real-time position of the vehicle enters a judging range corresponding to any virtual road intersection, determining lane position information of the vehicle based on real-time feedback data, generating a control instruction based on target virtual traffic light signal information corresponding to the lane position information, and when the output instruction of the judging module is very congested, generating an instruction for reducing red light time and increasing green light time so as to solve the congestion problem in the monitoring subarea; if the output instruction of the judging module is not congestion, the group needs to generate an instruction with unchanged traffic light time.
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