CN115601980A - Control method and system of traffic signal lamp, storage medium and electronic equipment - Google Patents
Control method and system of traffic signal lamp, storage medium and electronic equipment Download PDFInfo
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- CN115601980A CN115601980A CN202211201691.2A CN202211201691A CN115601980A CN 115601980 A CN115601980 A CN 115601980A CN 202211201691 A CN202211201691 A CN 202211201691A CN 115601980 A CN115601980 A CN 115601980A
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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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- 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
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/095—Traffic lights
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Abstract
The application discloses a traffic signal lamp control method, a system, a storage medium and electronic equipment, which can be used in the field of big data or other fields. The method comprises the steps of obtaining moving vehicle information in a preset road section, wherein the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section, obtaining the traffic flow density of the preset road section through the moving vehicle information, determining a signal lamp adjustment rule according to the traffic flow density, and intelligently adjusting the time length of a traffic signal lamp of the preset road section through the signal lamp adjustment rule. By the scheme, the traffic flow density in the preset road section is monitored in real time, the time of the traffic light is intelligently adjusted according to the traffic flow density, the vehicle congestion phenomenon is effectively reduced, and the flexibility of adjusting the time of the traffic light is improved. In addition, road congestion data of each intersection at each time interval is monitored in real time, and traffic polices are dispatched to specially congested intersections for manual command, so that the congestion phenomenon is further relieved.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and a system for controlling a traffic signal lamp, a storage medium, and an electronic device.
Background
With the increase of the vehicle holding capacity far higher than the road construction speed, the urban traffic pressure is higher and higher, and particularly in the rush hour of commuting, even if traffic guidance is carried out according to a traffic signal lamp command system, the traffic jam condition can also occur.
The current traffic signal lamp command system is controlled according to a preset program, cannot dynamically adjust the time length of a traffic light according to traffic flow, and lacks flexibility.
Disclosure of Invention
In view of this, the present application discloses a method, a system, a storage medium, and an electronic device for controlling traffic lights, which are intended to effectively reduce a congestion phenomenon of a vehicle and improve flexibility of adjusting a duration of a traffic light.
In order to achieve the purpose, the technical scheme is as follows:
the application discloses in a first aspect a method for controlling a traffic signal lamp, the method comprising:
acquiring moving vehicle information in a preset road section; the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section;
obtaining the traffic density of the preset road section according to the moving vehicle information;
and determining a signal lamp adjustment rule according to the traffic flow density, and intelligently adjusting the duration of the traffic signal lamp of the preset road section according to the signal lamp adjustment rule.
Preferably, the acquiring of the moving vehicle information in the preset road segment includes:
and acquiring the moving vehicle information in the preset road section in real time through preset acquisition equipment.
Preferably, the obtaining of the traffic density of the preset road section through the moving vehicle information includes:
and calculating the traffic flow density of the preset road section by using preset ground sensing reconnaissance equipment according to the number of vehicles in the preset road section and the road section length of the preset road section to obtain the traffic flow density of the preset road section.
Preferably, the determining a signal lamp adjustment rule according to the traffic flow density, and intelligently adjusting the duration of the traffic signal lamp of the preset road section according to the signal lamp adjustment rule includes:
when the traffic flow density of the preset road section is greater than a preset threshold value, prolonging the green time of a traffic signal lamp of the vehicle driving direction in the preset road section; the green light duration is less than or equal to a first preset duration;
if the green light duration is within the first preset duration and the traffic flow density in a preset road section is smaller than the preset threshold value, switching the green light of the traffic signal lamp according to a preset switching rule; the preset conversion rule is a conversion rule that a green light is changed into a yellow light and the yellow light is changed into a red light within a first preset time;
if the green light time length is equal to the first preset time length and the traffic flow density of a preset road section is greater than or equal to the preset threshold value, prolonging the green light time length of the traffic signal lamp to the first preset time length;
when the traffic flow density of the preset road section is smaller than the preset threshold value, the green time of a traffic signal lamp of the vehicle driving direction in the preset road section is shortened to a second preset time;
and when the traffic flow density of each lane of the preset road section is 0 within the second preset time, adjusting the traffic signal lamp to be a continuous yellow lamp, and when the traffic flow density is not 0, starting a traffic light control mode.
Preferably, the method further comprises the following steps:
and uploading the acquired vehicle density of each intersection at each time period to a data center in real time by using the technology of the Internet of things.
A second aspect of the present application discloses a control system of a traffic signal lamp, the system comprising:
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring moving vehicle information in a preset road section; the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section;
the second acquisition unit is used for acquiring the traffic flow density of the preset road section according to the moving vehicle information;
and the determining unit is used for determining a signal lamp adjusting rule according to the traffic flow density and intelligently adjusting the duration of the traffic signal lamp of the preset road section according to the signal lamp adjusting rule.
Preferably, the obtaining unit is specifically configured to:
and acquiring the information of the moving vehicles in the preset road section in real time through a preset acquisition device.
Preferably, the second obtaining unit is specifically configured to:
and calculating the traffic flow density of the preset road section by using preset ground sensing reconnaissance equipment according to the number of vehicles in the preset road section and the road section length of the preset road section to obtain the traffic flow density of the preset road section.
A storage medium including stored instructions, wherein when the instructions are executed, a device in which the storage medium is located is controlled to execute the control method of the traffic signal lamp according to any one of the first aspect.
A fourth aspect of the present application discloses an electronic device comprising a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by the one or more processors to perform the method for controlling a traffic signal according to any one of the first aspects.
According to the technical scheme, the application discloses a control method, a control system, a storage medium and electronic equipment of a traffic signal lamp, wherein moving vehicle information in a preset road section is obtained, the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section, the traffic flow density of the preset road section is obtained through the moving vehicle information, a signal lamp adjustment rule is determined according to the traffic flow density, and the duration of the traffic signal lamp of the preset road section is intelligently adjusted through the signal lamp adjustment rule. By the scheme, the traffic flow density in the preset road section is monitored in real time, the time length of the traffic light is intelligently adjusted according to the traffic flow density, the vehicle congestion phenomenon is effectively reduced, and the flexibility of adjusting the time length of the traffic light is improved. In addition, road congestion data of each intersection in each time period is monitored in real time, and traffic polices are dispatched to particularly congested intersections for manual command, so that congestion is further relieved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only the embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for controlling a traffic signal light according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a control system of a traffic signal lamp disclosed in an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a determining unit disclosed in an embodiment of the present application;
FIG. 4 is a schematic structural diagram of another traffic signal lamp control system disclosed in the embodiments of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the 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 application.
In this application, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
As known from the background art, the current traffic signal lamp command system is controlled according to a preset program, cannot dynamically adjust the time length of a traffic light according to traffic flow, and is lack of flexibility.
In order to solve the above problems, an embodiment of the application discloses a method, a system, a storage medium, and an electronic device for controlling a traffic light, where moving vehicle information in a preset road section is obtained, the moving vehicle information at least includes the number of vehicles in the preset road section and a road section length of the preset road section, a traffic flow density of the preset road section is obtained through the moving vehicle information, a signal light adjustment rule is determined according to the traffic flow density, and a duration of the traffic light in the preset road section is intelligently adjusted through the signal light adjustment rule. By the scheme, the traffic flow density in the preset road section is monitored in real time, the time length of the traffic light is intelligently adjusted according to the traffic flow density, the vehicle congestion phenomenon is effectively reduced, and the flexibility of adjusting the time length of the traffic light is improved. In addition, road congestion data of each intersection at each time interval is monitored in real time, and traffic polices are dispatched to specially congested intersections for manual command, so that the congestion phenomenon is further relieved. The specific implementation is specifically illustrated by the following examples.
It should be noted that the traffic signal lamp control method, the traffic signal lamp control system, the storage medium and the electronic device provided by the application can be used in the field of big data or other fields. The foregoing is merely an example, and does not limit the application fields of the control method, system, storage medium, and electronic device for a traffic signal provided in the present application.
Referring to fig. 1, a method for controlling a traffic signal lamp disclosed in an embodiment of the present application mainly includes the following steps:
s101: acquiring moving vehicle information in a preset road section; the moving vehicle information at least includes the number of vehicles in the preset road section and the road section length of the preset road section.
In S101, moving vehicle information in a preset road segment is acquired in real time by a preset acquisition device.
The preset acquisition equipment can be a ground sensor, other types of sensors and the like. The preset acquisition equipment is determined by technical personnel according to actual conditions, and the method is not particularly limited in the application. The preset acquisition equipment of the scheme is preferably a ground sensor.
The preset road section is a single-lane road section which is far away from the preset range of the traffic signal lamp.
The preset range can be 800 meters away from the traffic signal lamp, or 1 kilometer away from the traffic signal lamp, and the specific preset range is determined by technical personnel according to actual conditions, and the application is not specifically limited.
The preset road section is a single-lane road section. The single lane includes a one-way single lane and a two-way single lane. The one-way single lane is a single lane which only allows the automobile to pass in one way; the bidirectional single lane is a single lane allowing the automobile to pass in two directions.
For example, a ground sensor is arranged in advance in each single lane at a distance of 1 km from a traffic light.
The moving vehicle information in the preset road section is detected in real time by using vibration, sound, infrared rays and pressure through a ground sensor.
The traffic signal lamp is an important tool for guiding traffic flow and consists of a red lamp, a green lamp and a yellow lamp. The red light indicates no passage, the green light indicates permission to pass, and the yellow light indicates warning.
S102: and obtaining the traffic flow density of the preset road section through the moving vehicle information.
In S102, the number of vehicles in the preset road section and the road section length of the preset road section are calculated through the preset ground sensing reconnaissance device, so as to obtain the traffic density of the preset road section.
The ground sensor detects moving vehicle information in a specific road section in real time by using vibration, sound, infrared rays and pressure, and transmits the moving vehicle information to an information processing part of preset ground sensing reconnaissance equipment, and the information processing part calculates the traffic flow density.
The traffic density is the number of vehicles present on a road (single lane) per unit length at a certain instant.
The traffic density is calculated as shown in the following formula:
K＝NL
wherein K is the traffic density, N is the number of vehicles in the single-lane road section, and L is the length of the road section.
And the ground sensor transmits the calculated traffic density to a traffic signal lamp control system.
S103: and determining a signal lamp adjustment rule according to the traffic flow density of the preset road section, and intelligently adjusting the duration of the traffic signal lamp of the preset road section according to the signal lamp adjustment rule.
In S103, the traffic light control system determines a light adjustment rule according to the traffic density of the preset road section, and intelligently adjusts the duration of the traffic light of the preset road section according to the light adjustment rule.
Specifically, a signal lamp adjustment rule is determined according to the traffic flow density of the preset road section, and the process of intelligently adjusting the duration of the traffic signal lamp of the preset road section through the signal lamp adjustment rule is shown as A1-A5.
A1: when the traffic flow density of the preset road section is greater than a preset threshold value, prolonging the green time of a traffic signal lamp in the preset road section; and the green light time is less than or equal to a first preset time.
The preset threshold is set by a technician according to actual conditions, and the application is not particularly limited.
The maximum value of the first preset time period is not more than 120 seconds. The first preset duration is set by a technician according to an actual situation, and the application is not particularly limited.
A2: if the green light time is within the first preset time and the traffic flow density in the preset road section is smaller than a preset threshold value, switching the green light of the traffic signal lamp according to a preset switching rule; the preset conversion rule is a conversion rule that a green light is changed into a yellow light and the yellow light is changed into a red light within a first preset time.
The first preset maximum time value does not exceed 120 seconds. The determination of the first preset time is set by a technician according to an actual situation, and the application is not particularly limited.
A3: and if the green light time is equal to a first preset time and the traffic flow density of the preset road section is greater than or equal to a preset threshold value, prolonging the green light time of the traffic signal lamp to the first preset time.
For example, if the traffic density is smaller than the preset threshold within the first preset time period of 120 seconds in the preset road section, the green light preset conversion rule performs automatic conversion. That is, after a first preset time (e.g., 30 seconds), the green light changes to yellow light, and then flashes from yellow light for 3 seconds and then changes to red light.
If the duration of the green light is equal to the maximum value of the first preset duration (120 seconds), the traffic density is greater than or equal to the preset threshold, and the green light is automatically switched (namely, the duration of changing the green light into the red light is delayed to be not more than 120 seconds at most when the traffic density is greater than or equal to the preset threshold within 120 seconds).
A4: and when the traffic flow density in the preset road section is less than the preset threshold value, shortening the green time of the traffic signal lamp in the preset road section to a second preset time.
Wherein the minimum value of the second preset time period is 15 seconds. The determination of the second preset duration is set by a technician according to an actual situation, and the application is not particularly limited.
For example, when the traffic density is less than the preset threshold, the traffic signal automatically decreases the green duration in the direction, but the green duration is not less than a second preset duration (e.g., 15 seconds).
A5: and when the traffic flow density in each lane of the preset road section is 0 within the second preset time, adjusting the traffic signal lamp to be a continuous long yellow lamp, and when the traffic flow density is not 0, starting a traffic light control mode.
For example, if the traffic density of each lane is 0 within a second preset time (for example, 10 minutes), the signal lamp is automatically switched to a yellow light, and once the sensor detects that the traffic density is not 0, the traffic light control mode is immediately started.
The traffic light control mode is the control mode of the signal light regulation rule.
Optionally, the acquired vehicle density of each intersection at each time period is uploaded to a traffic administration data center in real time by using the internet of things technology.
Vehicle density may be used to characterize road congestion for road segments, among other things.
The traffic signal lamp control system uploads the collected vehicle density of each intersection at each time period to a traffic management office data center in real time by using the technology of internet of things, so that the traffic management office can conveniently master the vehicle density in real time, and for the situation that the vehicle flow density in a certain road section is greater than a preset congestion threshold value, the road section is indicated to be a particularly congested intersection, and a traffic police can be added to the particularly congested intersection for manual command, so that the congestion phenomenon is further relieved.
According to the scheme, the ground sensing reconnaissance equipment can monitor the traffic density in the preset road section in real time and transmit the traffic density to the traffic signal lamp control system, and the traffic signal lamp control system can intelligently adjust the time length of the traffic light according to the traffic density, so that the vehicle congestion phenomenon is effectively reduced. Meanwhile, the technology of the Internet of things is adopted, road congestion data of each intersection at each time interval are uploaded to a data center of a traffic management bureau in real time, the traffic management bureau is helped to master vehicle density in real time, traffic polices can be added to the particularly congested intersections for manual command, and therefore the congestion phenomenon is further relieved.
In the embodiment of the application, moving vehicle information in the preset road section is obtained, the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section, the traffic density of the preset road section is obtained through the moving vehicle information, a signal lamp adjustment rule is determined according to the traffic density, and the duration of a traffic signal lamp of the preset road section is intelligently adjusted through the signal lamp adjustment rule. By the scheme, the traffic flow density in the preset road section is monitored in real time, the time length of the traffic light is intelligently adjusted according to the traffic flow density, the vehicle congestion phenomenon is effectively reduced, and the flexibility of adjusting the time length of the traffic light is improved. In addition, road congestion data of each intersection in each time period is monitored in real time, and traffic polices are dispatched to particularly congested intersections for manual command, so that congestion is further relieved.
Based on the schematic flow diagram of the traffic signal lamp control method disclosed in fig. 1 in the above embodiment, the embodiment of the present application further discloses a schematic structural diagram of a traffic signal lamp control system, and as shown in fig. 2, the traffic signal lamp control system includes a first obtaining unit 201, a second obtaining unit 202, and a determining unit 203.
A first acquisition unit 201 for acquiring moving vehicle information within a preset section; the moving vehicle information at least includes the number of vehicles in the preset road section and the road section length of the preset road section.
And a second obtaining unit 202, configured to obtain the traffic density of the preset road segment according to the moving vehicle information.
The determining unit 203 is configured to determine a signal lamp adjustment rule according to the traffic flow density, and intelligently adjust the duration of a traffic signal lamp of a preset road segment according to the signal lamp adjustment rule.
The determining unit 203 determines a signal lamp adjustment rule according to the traffic flow density of the preset road section through a traffic signal lamp control system, and intelligently adjusts the duration of the traffic signal lamp of the preset road section through the signal lamp adjustment rule.
Further, the first obtaining unit 201 is specifically configured to obtain, in real time, information of the moving vehicle in the preset road segment through a preset collecting device.
The preset acquisition equipment can be a ground sensor or other types of sensors. The preset acquisition equipment is determined by technical personnel according to actual conditions, and the method is not particularly limited in the application. The preset acquisition equipment of the scheme preferably selects a ground sensor.
The preset road section is a single-lane road section which is far away from the preset range of the traffic signal lamp.
The preset range can be 800 meters away from the traffic signal lamp, or 1 kilometer away from the traffic signal lamp, and the specific preset range is determined by technical personnel according to actual conditions, and the application is not specifically limited.
The preset road section is a single-lane road section. The single lane includes a one-way single lane and a two-way single lane. The one-way single lane is a single lane which only allows the automobile to pass in one way; the bidirectional single lane is a single lane allowing the automobile to pass in two directions.
Further, the second obtaining unit 202 is specifically configured to perform traffic density calculation on the number of vehicles in the preset road section and the road section length of the preset road section through the preset ground sensing reconnaissance device, so as to obtain the traffic density of the preset road section.
The second obtaining unit 202 detects moving vehicle information in a specific road section in real time through a ground sensor by using vibration, sound, infrared and pressure, and transmits the moving vehicle information to an information processing part of the ground sensing reconnaissance equipment, and the information processing part calculates the traffic density. The traffic density is the number of vehicles present on a road (single lane) per unit length at a certain instant.
Further, the determining unit 203 comprises a duration first duration extending module 301, a converting module 302, a second duration extending module 303, a duration shortening module 304 and an adjusting module 305. A schematic diagram of the structure of the determination unit 203 is shown in fig. 3.
The first time length prolonging module 301 is configured to prolong a green time length of a traffic signal lamp of a vehicle driving direction in a preset road section when a traffic flow density of the preset road section is greater than a preset threshold; the green light duration is less than or equal to a first preset duration.
The conversion module 302 is configured to convert a green light of a traffic signal lamp according to a preset conversion rule if the green light duration is within a first preset duration and the traffic flow density in a preset road section is less than a preset threshold; the preset conversion rule is a conversion rule that a green light is changed into a yellow light and the yellow light is changed into a red light within a first preset time.
The second duration prolonging module 303 is configured to prolong the green light duration of the traffic signal lamp to the first preset duration if the green light duration is equal to the first preset duration and the traffic flow density of the preset road section is greater than or equal to the preset threshold.
The duration shortening module 304 is configured to shorten the duration of the green light of the traffic signal lamp in the vehicle driving direction in the preset road segment to a second preset duration when the traffic density of the preset road segment is smaller than the preset threshold.
The adjusting module 305 is configured to adjust a traffic signal light to be a continuous yellow light when the traffic density of each lane of the preset road section is 0 within a second preset time, and start the traffic light control mode when it is detected that the traffic density is not 0.
Further, on the basis of the above embodiment fig. 2, the control system of the traffic signal lamp further includes an uploading unit 401, as shown in fig. 4. Fig. 4 shows another traffic signal control system.
And the uploading unit 401 is configured to upload the acquired vehicle density at each time interval of each intersection to the data center in real time by using the internet of things technology.
The uploading unit 401 uploads the acquired vehicle density of each intersection at each time interval to a data center of a traffic management office in real time through a traffic light control system and an internet of things technology, so that the traffic management office can conveniently master the vehicle density in real time, the density of the traffic flow in a certain road section is greater than a preset congestion threshold value, that is, the road section is a particularly congested intersection, and a traffic police can be added to the particularly congested intersection for manual command, so that the congestion phenomenon is further relieved.
In the embodiment of the application, the moving vehicle information in the preset road section is obtained, the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section, the traffic flow density of the preset road section is obtained through the moving vehicle information, the signal lamp adjustment rule is determined according to the traffic flow density, and the duration of the traffic signal lamp of the preset road section is intelligently adjusted through the signal lamp adjustment rule. By the scheme, the traffic flow density in the preset road section is monitored in real time, the time length of the traffic light is intelligently adjusted according to the traffic flow density, the vehicle congestion phenomenon is effectively reduced, and the flexibility of adjusting the time length of the traffic light is improved. In addition, road congestion data of each intersection in each time period is monitored in real time, and traffic polices are dispatched to particularly congested intersections for manual command, so that congestion is further relieved.
The embodiment of the application also provides a storage medium, wherein the storage medium comprises stored instructions, and when the instructions are executed, the equipment where the storage medium is located is controlled to execute the control method of the traffic signal lamp.
The present embodiment further provides an electronic device, whose schematic structural diagram is shown in fig. 5, specifically including a memory 501, and one or more instructions 502, where the one or more instructions 502 are stored in the memory 501, and are configured to be executed by one or more processors 503 to execute the one or more instructions 502 to perform the following operations:
acquiring moving vehicle information in a preset road section; the moving vehicle information at least comprises the number of vehicles in a preset road section and the road section length of the preset road section;
obtaining the traffic density of a preset road section through the moving vehicle information;
and determining a signal lamp adjustment rule according to the traffic flow density, and intelligently adjusting the duration of the traffic signal lamp of the preset road section according to the signal lamp adjustment rule.
While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present application is not limited by the order of acts or acts described, as some steps may occur in other orders or concurrently with other steps in accordance with the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the system-like embodiment, since it is basically similar to the method embodiment, the description is simple, and reference may be made to the partial description of the method embodiment for relevant points.
The steps in the method of the embodiments of the present application may be sequentially adjusted, combined, and deleted according to actual needs.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing is only a preferred embodiment of the present application and it should be noted that, as will be apparent to those skilled in the art, numerous modifications and adaptations can be made without departing from the principles of the present application and such modifications and adaptations are intended to be considered within the scope of the present application.
Claims (10)
1. A method of controlling a traffic signal, the method comprising:
acquiring moving vehicle information in a preset road section; the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section;
obtaining the traffic density of the preset road section according to the moving vehicle information;
and determining a signal lamp adjustment rule according to the traffic flow density, and intelligently adjusting the time length of the traffic signal lamp of the preset road section according to the signal lamp adjustment rule.
2. The method according to claim 1, wherein the obtaining of the moving vehicle information in the preset road section comprises:
and acquiring the moving vehicle information in the preset road section in real time through preset acquisition equipment.
3. The method according to claim 1, wherein the obtaining of the traffic density of the preset section through the moving vehicle information comprises:
and calculating the traffic flow density of the preset road section by using preset ground sensing reconnaissance equipment according to the number of vehicles in the preset road section and the road section length of the preset road section to obtain the traffic flow density of the preset road section.
4. The method according to claim 1, wherein the determining a signal light adjustment rule according to the traffic flow density, and intelligently adjusting the time length of a traffic signal light of the preset road section through the signal light adjustment rule comprises:
when the traffic flow density of the preset road section is greater than a preset threshold value, prolonging the green time of a traffic signal lamp of the vehicle driving direction in the preset road section; the green light duration is less than or equal to a first preset duration;
if the green light duration is within the first preset duration and the traffic flow density in a preset road section is smaller than the preset threshold value, switching the green light of the traffic signal lamp according to a preset switching rule; the preset conversion rule is a conversion rule that a green light is changed into a yellow light and the yellow light is changed into a red light within a first preset time;
if the green light time length is equal to the first preset time length and the traffic flow density of a preset road section is greater than or equal to the preset threshold value, prolonging the green light time length of the traffic signal lamp to the first preset time length;
when the traffic flow density of the preset road section is smaller than the preset threshold value, the green time of a traffic signal lamp in the driving direction of the vehicle in the preset road section is shortened to a second preset time;
and when the traffic flow density of each lane of the preset road section is 0 within the second preset time, adjusting the traffic signal lamp to be a continuous yellow lamp, and when the traffic flow density is not 0, starting a traffic light control mode.
5. The method of claim 1, further comprising:
and uploading the acquired vehicle density of each intersection at each time period to a data center in real time by using the technology of the Internet of things.
6. A control system for a traffic signal, said system comprising:
the system comprises a first acquisition unit, a second acquisition unit and a control unit, wherein the first acquisition unit is used for acquiring moving vehicle information in a preset road section; the moving vehicle information at least comprises the number of vehicles in the preset road section and the road section length of the preset road section;
the second acquisition unit is used for acquiring the traffic density of the preset road section according to the moving vehicle information;
and the determining unit is used for determining a signal lamp adjusting rule according to the traffic flow density and intelligently adjusting the duration of the traffic signal lamp of the preset road section according to the signal lamp adjusting rule.
7. The system according to claim 6, wherein the obtaining unit is specifically configured to:
and acquiring the information of the moving vehicles in the preset road section in real time through a preset acquisition device.
8. The system of claim 6, wherein the second obtaining unit is specifically configured to:
and calculating the traffic flow density of the preset road section by using preset ground sensing reconnaissance equipment according to the number of vehicles in the preset road section and the road section length of the preset road section to obtain the traffic flow density of the preset road section.
9. A storage medium, characterized in that the storage medium comprises stored instructions, wherein the instructions, when executed, control a device on which the storage medium is located to perform the method for controlling a traffic signal lamp according to any one of claims 1 to 5.
10. An electronic device comprising a memory, and one or more instructions, wherein the one or more instructions are stored in the memory and configured to be executed by the one or more processors to perform the method of traffic signal light control of any one of claims 1-5.
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| CN117392852A (en) * | 2023-12-11 | 2024-01-12 | 大作(江苏)云科技有限公司 | Cloud computing resource scheduling optimization system oriented to big data analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117392852A (en) * | 2023-12-11 | 2024-01-12 | 大作(江苏)云科技有限公司 | Cloud computing resource scheduling optimization system oriented to big data analysis |
| CN117392852B (en) * | 2023-12-11 | 2024-05-03 | 深圳鹏智瑞数字营销有限公司 | Cloud computing resource scheduling optimization system oriented to big data analysis |
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