CN109712413B - Cross road traffic management control method and system with automatic adjustment function - Google Patents
Cross road traffic management control method and system with automatic adjustment function Download PDFInfo
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Abstract
The invention discloses a cross road traffic management control method and a system with an automatic adjusting function, wherein the method comprises the following steps: acquiring real-time monitoring video data; classifying the monitoring video data according to a passing sequence, wherein the passing sequence comprises 12 passing directions; processing real-time monitoring video data of 12 traffic directions in a period to obtain traffic flow information of 12 traffic directions in the period; adjusting the passing time of 12 passing directions in the next period according to the corresponding relation between the traffic flow information in the previous period and a preset threshold; and uploading the congestion information to the monitoring center according to the corresponding relation between the traffic information and the congestion level in the previous period. By applying the embodiment of the invention, the traffic management of the crossroads can be automatically adjusted, and the traffic load of the crossroads is improved.
Description
Technical Field
The invention relates to the technical field related to traffic management methods, in particular to a cross road traffic management control method and system with an automatic adjusting function.
Background
With the improvement of the economic development level of China, more and more families choose to buy the car for going out. With the increase of automobile sales, road congestion also becomes a headache problem for drivers, and therefore, how to improve the road traffic bearing capacity is a technical problem to be solved urgently.
The key for improving the road traffic bearing capacity is to improve the traffic capacity of key road sections, generally, the key for restricting the road traffic bearing capacity is to control a crossroad, the management of the crossroad at present is basically controlled by a red-green signal lamp, the passing time of the red-green signal lamp in each direction is controlled according to a preset program, flexible adjustment cannot be made according to the actual road condition, the traffic jam in one direction often occurs, and the vehicles in the other direction are rare; in order to change the situation, the passing time of the traffic lights is generally required to be manually adjusted on site or remotely, and the traffic lights with huge number cannot be manually adjusted along with the development of cities, so that a cross road traffic management control method and a cross road traffic management control system with an automatic adjusting function are provided to solve the problems.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a cross road traffic management control method and system with an automatic adjusting function, which can automatically control the release time of red and green signal lamps in each direction according to the actual traffic flow, and have the effect of improving the road bearing capacity.
In order to achieve the above object, the present invention adopts a method for cross road traffic management, comprising:
step one, acquiring real-time monitoring video data;
classifying the monitoring video data according to a passing sequence, wherein the passing sequence comprises 12 passing directions;
processing real-time monitoring video data of 12 traffic directions in a period to obtain traffic flow information of 12 traffic directions in the period;
and fourthly, uploading congestion information to a monitoring center according to the corresponding relation between the traffic information of the previous period and the congestion level, wherein the congestion level comprises the following steps: unblocked, partially congested, jammed and paralyzed;
step five, adjusting the passing time of 12 passing directions in the next period according to the corresponding relation between the traffic information of the previous period and a preset threshold;
and step six, after entering the next period, circulating the work of the step one to the step five.
As a further optimization of the above scheme, the second step includes segmenting and classifying the surveillance videos according to the time period of the traffic direction.
As a further optimization of the above scheme, the third step includes setting 4 start and stop lines at the intersection; extracting a vehicle center point of the video image; and judging the starting point line and the finishing point line which pass through the center point of the vehicle, and determining the passing direction of the vehicle according to the judgment result.
As a further optimization of the scheme, the third step further comprises the steps of obtaining a path H and passing time T of the vehicle center point passing through the monitoring starting and stopping line; acquiring a scaling ratio I of a video picture and an actual scene; obtaining the average running speed V of the first vehicle1＝I*H/T。
As a further optimization of the above scheme, the fourth step includes the number S of vehicles passing in one passing direction and the clearance time t in one passing direction in the cycle; the traffic information comprises the average driving speed V of the vehicle in 12 traffic directions and the average throughput M of the vehicle in unit time;
the average driving speed V of the S vehicles is equal to (V)1+V2+……+VS)/S；
The average throughput M of the vehicle in unit time is S/t;
when V is more than or equal to 20 and M is less than or equal to 0.3, shortening the release time of the next cycle in the passing direction until M is 0.5 and t is not less than 20;
when V is less than or equal to 5 and M is less than or equal to 0.2, prolonging the release time of the next cycle in the passing direction until M is 0.3 and t is not more than 90;
when V is greater than 5 in each of the 12 traffic directions, the time t is the same for each traffic direction, and t is 30;
vehicles in the right turn direction at each intersection have no restriction to passage;
the vehicles in the left turn direction and the straight vehicles at each intersection and the opposite intersection share one control signal, and the average throughput M in the left turn direction and the straight direction at the opposite intersection in unit time are compared, and the traffic direction with the larger throughput M has control priority.
As a further optimization of the scheme, in the fifth step, when V is less than or equal to 5 in 0 passing directions, the corresponding congestion level is smooth;
when V is less than or equal to 5 in 2-6 passing directions, the corresponding congestion level is partial congestion;
when V is less than or equal to 5 in 7-10 passing directions, the corresponding congestion level is congestion;
when V is less than or equal to 5 in 11-12 passing directions, the corresponding congestion level is paralysis.
As a further optimization of the above solution, the system comprises:
the first acquisition module is used for acquiring monitoring video data;
the preprocessing module is used for classifying the monitoring video data according to the passing sequence, and comprises 12 passing directions;
the processing module is used for processing the real-time monitoring video data of 12 traffic directions in a period to obtain traffic flow information of 12 traffic directions in the period;
the second obtaining module is used for uploading the congestion information to the monitoring center according to the corresponding relation between the traffic information of the previous period and the congestion level, wherein the congestion level comprises: unblocked, partially congested, jammed and paralyzed;
and the control module is used for adjusting the passing time of 12 passing directions in the next period according to the corresponding relation between the traffic information in the previous period and the preset threshold value.
As a further optimization of the above scheme, the processing module is further configured to extract a video frame when the average vehicle passing speed V is less than or equal to 5, and send the video frame to the second obtaining module.
As a further optimization of the above scheme, the second obtaining module is further configured to obtain a video frame and upload the video frame to the monitoring center.
The cross road traffic management control method and the system with the automatic adjusting function have the following beneficial effects that:
1. the invention relates to a crossroad traffic management control method with an automatic regulation function, which monitors the traffic condition of a crossroad in real time, counts the traffic information in the previous period in each direction according to the traffic direction, and further makes the release time of the next period in each direction.
2. According to the cross road traffic management control method with the automatic adjusting function, the traffic information and the preset threshold value are logically judged according to the traffic information of the previous period, and the control signal is automatically adjusted according to the judgment result, so that the cross road traffic management control method has very strong rationality and flexibility.
3. The cross road traffic management system can acquire real-time monitoring videos and divide and classify the monitoring videos according to all directions; traffic flow information in different traffic directions is analyzed according to the classified videos; calculating and comparing according to the acquired traffic flow information, and determining the traffic control of the next period; meanwhile, the congestion level is determined according to the traffic flow information, the video frame and the congestion information are sent to a supervision platform, and when traffic paralysis occurs, a traffic police can be dispatched in time to dredge the traffic on site.
Drawings
Fig. 1 is a schematic flow chart of a cross road management method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cross road management system according to an embodiment of the present invention;
fig. 3 is a schematic flow chart illustrating a third step of acquiring traffic flow information in the cross road traffic management control method with an automatic adjustment function according to the embodiment of the present invention;
fig. 4 is a schematic flow chart illustrating a fourth step of the cross road traffic management control method with an automatic adjustment function according to the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings and examples. It should be understood, however, that the description herein of specific embodiments is only intended to illustrate the invention and not to limit the scope of the invention.
Referring to fig. 1-2, the present invention provides a technical solution: a cross road traffic management control method with an automatic adjusting function comprises the following steps:
s101, acquiring real-time monitoring video data;
illustratively, surveillance videos of an intersection surveillance scene can be collected.
S102, classifying the monitoring video data according to a passing sequence, wherein the passing sequence comprises 12 passing directions;
specifically, the video data is acquired independently at the release time in each passing direction, and the videos are classified according to the passing direction.
S103, processing the real-time monitoring video data of 12 traffic directions in a period to obtain traffic flow information of 12 traffic directions in the period;
specifically, the release time in each passing direction is acquired according to the classified videos, and video data are acquired independently; crosses in video data4 start and stop lines are arranged at the intersection; extracting a vehicle center point of the video image; judging a starting point line and a finishing point line which pass through the center point of the vehicle, determining the passing direction of the vehicle according to a judgment result, and ensuring that the obtained classified video is the same as the actual classified video; acquiring a path H and passing time T of a vehicle center point passing through a monitoring start-stop line; acquiring a scaling ratio I of a video picture and an actual scene; obtaining the average running speed V of the first vehicle1＝I*H/T。
S104, uploading congestion information to a monitoring center according to the corresponding relation between the traffic information of the previous period and the congestion level, wherein the congestion level comprises: unblocked, partially congested, jammed and paralyzed;
specifically, when V is less than or equal to 5 in 0 passing directions, the corresponding congestion level is smooth;
when V is less than or equal to 5 in 2-6 passing directions, the corresponding congestion level is partial congestion;
when V is less than or equal to 5 in 7-10 passing directions, the corresponding congestion level is congestion;
when V is less than or equal to 5 in 11-12 passing directions, the corresponding congestion level is paralysis.
S105, adjusting the passing time of 12 passing directions in the next period according to the corresponding relation between the traffic information of the previous period and a preset threshold;
and S106, after entering the next period, circulating the work of the first step to the fifth step.
Specifically, the number S of passing vehicles in one passing direction and the passing time t in one passing direction in the cycle are included; the traffic information comprises the average driving speed V of the vehicle in 12 traffic directions and the average throughput M of the vehicle in unit time;
the average driving speed V of the S vehicles is equal to (V)1+V2+……+VS)/S
The average throughput M of the vehicle in unit time is S/t;
when V is more than or equal to 20 and M is less than or equal to 0.3, shortening the release time of the next cycle in the passing direction until M is 0.5 and t is not less than 20;
when V is less than or equal to 5 and M is less than or equal to 0.2, prolonging the release time of the next cycle in the passing direction until M is 0.3 and t is not more than 90;
when V is greater than 5 in each of the 12 traffic directions, the time t is the same for each traffic direction, and t is 30;
vehicles in the right turn direction at each intersection have no restriction to passage;
the vehicles in the left turn direction and the straight vehicles at each intersection and the opposite intersection share one control signal, and the average throughput M in the left turn direction and the straight direction at the opposite intersection in unit time are compared, and the traffic direction with the larger throughput M has control priority.
By applying the embodiment of the invention, the vehicle center point in the video is extracted for each vehicle passing through the intersection, the vehicle motion track is simplified into a point motion track, the motion path of the vehicle is simulated, and the average passing speed of the vehicle is calculated by combining time; meanwhile, the number of passing vehicles is counted according to an image recognition technology; obtaining traffic flow information according to the average traffic speed and the number of passing vehicles; and calculating, comparing and controlling the release time in each passing direction in the next period according to the traffic flow information, thereby maximizing the passing efficiency of the crossroad.
Compared with the embodiment of the invention, the embodiment of the invention also provides a cross road traffic management system, which comprises:
a first obtaining module 1101, configured to obtain monitoring video data;
the preprocessing module 1102 is used for classifying the monitoring video data according to a passing sequence, wherein the passing sequence comprises 12 passing directions;
the processing module 1103 is configured to process real-time monitoring video data of 12 traffic directions in one period, so as to obtain traffic information in the 12 traffic directions in the period;
the control module 1105 is configured to adjust the passing time of 12 passing directions in the next period according to the correspondence between the traffic information in the previous period and the preset threshold;
a second obtaining module 1104, configured to upload the congestion information to the monitoring center according to a correspondence between the traffic information in the previous period and a congestion level, where the congestion level includes: unblocked, partially congested, jammed and paralyzed.
By applying the embodiment of the invention, the vehicle center point in the video is extracted for each vehicle passing through the intersection, the vehicle motion track is simplified into a point motion track, the motion path of the vehicle is simulated, and the average passing speed of the vehicle is calculated by combining time; meanwhile, the number of passing vehicles is counted according to an image recognition technology; obtaining traffic flow information according to the average traffic speed and the number of passing vehicles; and calculating, comparing and controlling the release time in each passing direction in the next period according to the traffic flow information, thereby maximizing the passing efficiency of the crossroad.
The processing module 1103 is further configured to extract a video frame when the average vehicle passing speed V is less than or equal to 5, and send the video frame to the second obtaining module 1104.
The second obtaining module 1104 is further configured to obtain a video frame and upload the video frame to the monitoring center.
When the average driving speed V is less than or equal to 5, the traffic information and the video frames are uploaded to the monitoring center, the data transmission quantity of the video frames is small, the transmission speed is high, the traffic information is combined with the video frames, so that a supervisor of the monitoring center can visually feel the congestion condition of a road, and when traffic is paralyzed, a traffic police can be dispatched to the monitoring center in time for processing.
It should be understood that the present invention is not limited to the particular embodiments described herein, but is intended to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention as defined by the appended claims.
Claims (8)
1. A cross road traffic management control method with an automatic adjustment function is characterized by comprising the following steps:
step one, acquiring real-time monitoring video data;
classifying the monitoring video data according to the passing sequence;
processing real-time monitoring video data of a period to obtain traffic information in the period;
and fourthly, uploading congestion information to a monitoring center according to the corresponding relation between the traffic information of the previous period and the congestion level, wherein the congestion level comprises the following steps: unblocked, partially congested, jammed and paralyzed;
step five, adjusting the passing time of the next period and the passing direction according to the corresponding relation between the traffic flow information of the previous period and a preset threshold value, recording the number of passing vehicles in the passing direction in the period as S, wherein the traffic flow information comprises the average driving speed V of S vehicles in the passing direction and the average throughput of the vehicles in unit time;
step six, after entering the next period, circulating the work of the step one to the step five;
when V is less than or equal to 5 in 0 passing directions, the corresponding congestion level is smooth;
when V is less than or equal to 5 in 2-6 passing directions, the corresponding congestion level is partial congestion;
when V is less than or equal to 5 in 7-10 passing directions, the corresponding congestion level is congestion;
when V is less than or equal to 5 in 11-12 passing directions, the corresponding congestion level is paralysis.
2. The method for cross road traffic management control with automatic adjustment function according to claim 1, characterized in that: and the second step comprises classifying the monitoring videos into 12 traffic directions according to the time period of the traffic directions.
3. The method for cross road traffic management control with automatic adjustment function according to claim 1, characterized in that: step three, setting 4 start and stop lines at the crossroad; extracting a vehicle center point of the video image; and judging the starting point line and the finishing point line which pass through the center point of the vehicle, and determining the passing direction of the vehicle according to the judgment result.
4. The method for cross road traffic management control with automatic adjustment function according to claim 1, characterized in that: step three, acquiring a path H and a passing time T of the vehicle center point passing through the monitoring start-stop line; acquiring a scaling ratio I of a video picture and an actual scene; obtaining the average running speed V of the first vehicle1＝I*H/T。
5. The method for cross road traffic management control with automatic adjustment function according to claim 1, characterized in that: step five, including the number S of passing vehicles in one passing direction and the passing time t in one passing direction in the period; the traffic information comprises the average driving speed V of the vehicle in 12 traffic directions and the average throughput M of the vehicle in unit time;
the average driving speed V of the S vehicles is equal to (V)1+V2+……+VS)/S
The average throughput M of the vehicle in unit time is S/t;
when V is more than or equal to 20 and M is less than or equal to 0.3, shortening the release time of the next cycle in the passing direction until M is 0.5 and t is not less than 20;
when V is less than or equal to 5 and M is less than or equal to 0.2, prolonging the release time of the next cycle in the passing direction until M is 0.3 and t is not more than 90;
when V is greater than 5 in each of the 12 traffic directions, the time t is the same for each traffic direction, and t is 30;
vehicles in the right turn direction at each intersection have no restriction to passage;
the vehicles in the left turn direction and the straight vehicles at each intersection and the opposite intersection share one control signal, and the average throughput M in the left turn direction and the straight direction at the opposite intersection in unit time are compared, and the traffic direction with the larger throughput M has control priority.
6. The utility model provides a cross road traffic management control system who possesses automatic regulating function which characterized in that: the system comprises:
the first acquisition module is used for acquiring monitoring video data;
the preprocessing module is used for classifying the monitoring video data according to the passing sequence, and comprises 12 passing directions;
the processing module is used for processing the real-time monitoring video data of 12 traffic directions in a period to obtain traffic flow information of 12 traffic directions in the period;
the second obtaining module is configured to upload the congestion information to the monitoring center according to a correspondence between traffic information of a previous period and a congestion level, where the congestion level includes: unblocked, partially congested, jammed and paralyzed;
and the control module is used for adjusting the passing time of 12 passing directions in the next period according to the corresponding relation between the traffic information in the previous period and the preset threshold value.
7. The cross road traffic management control system with automatic adjustment function according to claim 6, characterized in that: the processing module is further used for extracting the video frames when the average vehicle passing speed V is less than or equal to 5, and sending the video frames to the second acquisition module.
8. The cross road traffic management control system with automatic adjustment function according to claim 6, characterized in that: the second acquisition module is further used for acquiring the video frame and uploading the video frame to the monitoring center.
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