CN112562333A - Road congestion processing method and device based on intelligent traffic - Google Patents
Road congestion processing method and device based on intelligent traffic Download PDFInfo
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- CN112562333A CN112562333A CN202011388829.5A CN202011388829A CN112562333A CN 112562333 A CN112562333 A CN 112562333A CN 202011388829 A CN202011388829 A CN 202011388829A CN 112562333 A CN112562333 A CN 112562333A
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
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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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
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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
- G08G1/0125—Traffic data processing
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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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Abstract
The embodiment of the invention provides a road congestion processing method and a road congestion processing device based on intelligent traffic, wherein the method comprises the following steps: acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road; determining the traffic jam state of the vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road; according to the traffic jam state of the vehicles, before the vehicles are jammed, the number of vehicles entering and exiting from vehicle outlets and/or vehicle inlets in the lane main road is adjusted, the outlets and inlets are arranged on the city main road, and when the road jam is predicted to occur, the outlets or inlets are closed timely, so that the behaviors of reducing traffic efficiency such as speed reduction and merging and the like are reduced, the smoothness of the road is ensured, and the jam of too many vehicles on the road is avoided.
Description
Technical Field
The invention relates to the technical field of traffic, in particular to a road congestion processing method and device based on intelligent traffic.
Background
Traffic congestion is a common problem in large cities, and it can be said that the more developed the city is, the more serious the congestion is. The crux of the method is that on one hand, the number of automobile holds is too large, and on the other hand, the urban road planning is not reasonable.
The main road is a main artery of a city, so that smoothness of main road traffic in a commuting peak period is guaranteed, and the problem to be solved urgently is solved.
Disclosure of Invention
The embodiment of the invention provides a road congestion processing method and device based on intelligent traffic, which can ensure the smoothness of main road traffic of urban traffic and improve the urban traffic efficiency.
In a first aspect, an embodiment of the present invention provides a road congestion processing method based on intelligent traffic, including:
acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road;
determining the traffic jam state of the vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road;
and adjusting the quantity of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the main lane road according to the traffic jam state of the vehicles before the vehicles are congested.
Further, the traffic information of the lane main road includes: traffic accident information of the main lane road and traffic jam information of the main lane road;
determining the traffic congestion state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road comprises:
determining whether the traffic jam state of the vehicle is caused by a traffic accident according to the traffic accident information of the main lane road;
and/or determining whether the traffic jam state of the vehicle is caused on the lane main road according to the traffic jam information of the lane main road.
Further, the vehicle information on the main lane road includes at least one of: vehicle speed, vehicle quantity, vehicle speed, turn lights, navigation information, vehicle position;
determining the traffic congestion state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road comprises:
and determining whether the traffic jam state is caused by illegal vehicle driving according to at least one vehicle information of the vehicle speed, the vehicle number, the vehicle speed, the turn lamp, the navigation information and the vehicle position.
Further, the adjusting the number of vehicles entering and exiting from the vehicle exit and/or the vehicle entrance in the main lane road before the traffic jam occurs to the vehicle according to the traffic jam state of the vehicle comprises:
calculating predicted vehicle position information after a preset time by using the road traffic information;
determining a traffic jam index according to the predicted vehicle position information;
comparing a magnitude relationship between a first number of vehicles to be driven out of the exit and a second number of vehicles to be driven into the entrance in the target road segment under the condition that the traffic congestion index exceeds a preset threshold within a preset time;
if the first number is larger than the second number, opening an outlet of the target road section, and closing an inlet of the target road section;
and if the first quantity is not greater than the second quantity, closing an outlet of the target road section and opening an inlet of the target road section.
Further, before the acquiring the road traffic information, the method further includes:
acquiring current time;
judging whether the current time belongs to an early peak time or a late peak time;
if so, controlling the opening and closing of the inlet and the outlet of the target road section according to a preset regulation and control mechanism so as to control the quantity of vehicles entering and exiting.
In a second aspect, an embodiment of the present invention provides a road congestion processing apparatus based on intelligent traffic, including:
the information acquisition module is used for acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road;
the traffic condition determining module is used for determining the traffic jam state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road;
and the entrance and exit adjusting module is used for adjusting the number of vehicles entering and exiting from a vehicle exit and/or a vehicle entrance in the lane main road before the traffic jam occurs to the vehicles according to the traffic jam state of the vehicles.
Further, the inlet and outlet adjusting module comprises:
an information estimation unit for estimating predicted vehicle position information after a preset time using road traffic information;
an index determination unit for determining a traffic congestion index according to the predicted vehicle position information;
the size comparison unit is used for comparing the size relation between a first number of vehicles to be driven out of the exit and a second number of vehicles to be driven into the entrance in the target road section under the condition that the traffic congestion index exceeds a preset threshold value within preset time;
the entrance and exit control unit is used for opening an exit of the target road section and closing an entrance of the target road section if the first quantity is greater than the second quantity; and if the first quantity is not greater than the second quantity, closing an outlet of the target road section and opening an inlet of the target road section.
Further, still include:
the time acquisition module is used for acquiring the current time;
the time judging module is used for judging whether the current time belongs to the early peak time or the late peak time;
and the entrance and exit regulation and control module is used for controlling the opening and closing of an entrance and an exit of the target road section according to a preset regulation and control mechanism so as to control the quantity of vehicles entering and exiting if the current time belongs to the early peak time or the late peak time.
In a third aspect, an embodiment of the present invention further provides a road congestion processing method based on intelligent traffic, including:
receiving road traffic information uploaded by a plurality of V2X terminals, wherein the road traffic information comprises: the method comprises the steps that the traffic information of a lane main road and the vehicle information on the lane main road are interacted through a V2X terminal installed on a vehicle and a V2X terminal installed on a road side unit;
generating a traffic jam state of a vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road;
issuing a regulating instruction of the number of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the main lane road before the traffic jam occurs to the vehicle according to the traffic jam state of the vehicle
In a fourth aspect, an embodiment of the present invention further provides a big data cloud server, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the program, implements the steps of the method for processing road congestion based on smart traffic as described in any one of the above.
In a fifth aspect, the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the intelligent traffic-based road congestion processing method according to any one of the above.
According to the road congestion processing method and device based on intelligent traffic, provided by the embodiment of the invention, the exit and the entrance are arranged on the urban main road, and when the road congestion is predicted to occur, the exit or the entrance are closed in time, so that the behaviors of reducing traffic efficiency such as speed reduction and road merging are reduced, the smoothness of the road is ensured, and the congestion caused by too many vehicles on the road is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention;
fig. 2 is an information interaction diagram of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention;
fig. 3 is an information acquisition flowchart of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating an entrance/exit operation of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a peak scheduling procedure in the morning and evening according to a road congestion processing method based on intelligent traffic provided in an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a road congestion processing apparatus based on intelligent traffic according to an embodiment of the present invention;
fig. 7 is a flowchart of another road congestion processing method based on intelligent traffic according to an embodiment of the present invention
Fig. 8 is a schematic structural diagram of a big data cloud server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A road congestion processing method based on intelligent traffic according to an embodiment of the present invention is described below with reference to fig. 1 to 5. Fig. 1 is a flowchart of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention; fig. 2 is an information interaction diagram of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention; fig. 3 is an information acquisition flowchart of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention; fig. 4 is a flowchart illustrating an entrance/exit operation of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention; fig. 5 is a flowchart of early-late peak scheduling of a road congestion processing method based on intelligent traffic according to an embodiment of the present invention.
In an embodiment of the present invention, a road congestion processing method based on intelligent traffic is provided, including:
step S11: acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road;
in the embodiment of the invention, firstly, the vehicle information of the target road section needs to be acquired, and specifically, the vehicle-mounted big data cloud server can be used for acquiring the information. For example, in the interconnected world of automobiles, each automobile with V2X technology may be used in the technology of V2X, and the automobile runs on a city road where V2X equipment is installed, so that real-time information sharing may be performed with other vehicles, signal lamps, signs and other terminals on the road. Therefore, the driving information of all vehicles in the target road section is acquired, and of course, the current driving information of the vehicles in the target road section can also be acquired in other manners, for example, a video monitoring manner is adopted to perform comprehensive video coverage on the target road section, and the vehicles in the video are identified, so that the traffic information and the vehicle information of the main road of the vehicle road in the target road section are obtained.
Step S12: determining the traffic jam state of the vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road;
after the current vehicle driving information is acquired, the traffic condition within the preset time can be predicted according to the information, specifically, the traffic congestion index of a certain time interval and a certain road section can be calculated according to the vehicle speed and the number of vehicles by paving the V2X equipment on the main road of the city, if the predicted traffic congestion index reaches a preset threshold corresponding to the "heavy congestion" level, a judgment result is obtained, of course, the current target road section may already be at the heavy congestion level, and of course, other traffic congestion indexes can be used to determine the traffic congestion state on the main road of the traffic lane.
Step S13: and adjusting the quantity of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the main lane road according to the traffic jam state of the vehicles before the vehicles are congested.
If a severe congestion condition occurs in the target road section in a certain future time, an exit or an entrance with a similar distance of the target road section can be closed according to a big data algorithm, all vehicles in the target road section are informed, so that the vehicles in the road section can only exit or enter, intersection and deceleration merging is reduced, and the congestion index of the urban main road is effectively reduced. Compared with the scheme that in the prior art, the urban congestion index is calculated according to the internet of vehicles technology, and a road which avoids congestion but is farther away is planned according to big data, the scheme can fundamentally solve the chronic and stubborn problem of urban congestion.
Further, the traffic information of the lane main road includes: traffic accident information of the main lane road and traffic jam information of the main lane road. The vehicle information on the main lane road includes at least one of: vehicle speed, vehicle number, vehicle speed, turn lights, navigation information, vehicle location.
Specifically, in order to determine the traffic congestion state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road, whether the traffic congestion state of the vehicle is caused by a traffic accident may be determined according to the traffic accident information of the main lane road; and/or determining whether the traffic jam state of the vehicle is caused on the lane main road according to the traffic jam information of the lane main road. Of course, it may also be determined whether the traffic congestion state is caused by vehicle illegal driving according to at least one vehicle information of the vehicle speed, the vehicle number, the vehicle speed, the turn light, the navigation information and the vehicle position. Thereby determining the traffic jam state of the vehicle by using the traffic information of the main lane road.
Specifically, in order to obtain the vehicle information on the main lane road, the following steps may be specifically performed:
step S21: determining a current vehicle on a target road segment;
specifically, it may be determined which vehicles are on the target road segment first, and specifically, the determination may be performed using a positioning system on the vehicle, and the determination of the current vehicle is performed by determining whether the current position of the vehicle is on the target road segment.
Step S22: receiving vehicle running information sent by the V2X device, wherein the vehicle running information comprises at least one of the following: vehicle speed, turn lights, navigation information, vehicle position; the V2X device is installed on the current vehicle on the target road segment.
After the current vehicle is determined, the vehicle running information may be received through the V2X device installed on the current vehicle, specifically, the information may be the vehicle speed, whether to switch, or information related to traffic such as a navigation map, a running path, and the like, so as to complete the acquisition of the current vehicle running information.
Further, in order to implement a determination process for determining whether the predicted traffic congestion index of the target road segment will exceed a preset threshold within a preset time according to the current vehicle driving information, the following steps may be implemented:
step S31: calculating predicted vehicle position information after a preset time by using the road traffic information;
and judging the driving distance of the vehicle after the preset time is passed by using the vehicle speed, the driving navigation information and the vehicle position in the current vehicle driving information, thereby predicting the vehicle position in the navigation information.
Step S32: determining a traffic jam index according to the predicted vehicle position information;
after the location information of all vehicles is predicted, the traffic congestion index may be determined according to how many vehicles are in the target road segment. The Traffic congestion Index is also called a Traffic Performance Index (TPI), which is a conceptual value initiated in beijing city and comprehensively reflecting the smoothness or congestion of a road network, and is called a Traffic Index for short. The traffic index value range is 0 to 10, each 2 numbers correspond to a grade, the grades respectively correspond to five grades of 'unblocked', 'basically unblocked', 'slightly congested', 'moderately congested' and 'severely congested' from small to large, and the higher the numerical value is, the more serious the traffic jam condition is. Of course, there may be other level setting manners, which are only illustrated and not limited herein. And judging whether the predicted traffic jam index is larger than a preset threshold value or not to obtain a judgment result.
The predicted traffic congestion index is compared with a preset threshold, for example, the threshold may be set to 8, and when the predicted traffic congestion index reaches 9, it indicates that there is a possibility of congestion occurring in the future.
On the basis of the foregoing embodiment, in this embodiment, in order to perform corresponding opening and closing operations on the exit and the entrance of the target link according to the determination result, the method specifically includes the following steps:
step S33: comparing a magnitude relationship between a first number of vehicles to be driven out of the exit and a second number of vehicles to be driven into the entrance in the target road segment under the condition that the traffic congestion index exceeds a preset threshold within a preset time;
step S34: if the first number is larger than the second number, opening an outlet of the target road section, and closing an inlet of the target road section; and if the first quantity is not greater than the second quantity, closing an outlet of the target road section and opening an inlet of the target road section.
Specifically, the following is exemplified: for example, the V2X terminal determines whether the vehicles in the current target road section have the tendency of vehicle congestion, and if so, the exit in the target road section or the number of vehicles entering and exiting the exit need to be controlled in advance. For another example, the V2X terminal may also determine the driving tendency of the vehicle in the current target road segment by sensing the vehicle speed, and if there are a large number of vehicles that need to drive into the exit, control the opening time of the exit in the target road segment in advance. For another example, the V2X terminal may also determine the driving tendency of the vehicle in the current target link by sensing the vehicle navigation information, and control the entrance opening time in the target link in advance if there are a large number of vehicles that need to enter the entrance. Of course, the entrance and the exit may be controlled to open and close according to the number of the vehicles at the exit and the entrance, for example, if there are 30 vehicles waiting to enter the exit at the current exit and 2 vehicles need to enter the entrance, the entrance may be closed to avoid congestion, and the vehicles at the exit may be released. For another example, if there are 10 vehicles waiting to enter the exit at the current exit and 20 vehicles need to enter the entrance, the opening time of the entrance is prolonged to avoid congestion, and the opening time of the exit is shortened accordingly.
It should be noted that, in order to implement the road traffic scheduling of the early peak and the late peak, the embodiment of the present invention may further include the following steps:
step S41: acquiring current time;
step S42: judging whether the current time belongs to an early peak time or a late peak time;
step S43: if so, controlling the opening and closing of the inlet and the outlet of the target road section according to a preset regulation and control mechanism so as to control the quantity of vehicles entering and exiting.
That is, for another example, the V2X terminal may also determine whether the vehicle in the current target road segment belongs to a preset early peak or late peak trip by interaction, and if so, control the entrance or exit in the target road segment according to a preset regulation mechanism, so as to adjust the number of vehicles entering or exiting.
On the basis of the above embodiments, in this embodiment, it is specifically described that the opening and closing of the exit or the entrance is specifically described, and the opening and closing of the exit and the entrance is actually determined according to the previous "congestion degree", which includes many cases, in example 1, the V2X device a on the vehicle synchronizes all parameter information (including vehicle speed, turn lights, navigation information, and the like) on the vehicle to the V2X device B on the drive test unit in real time, and after receiving the parameter information, the V2X device B on the drive test unit adjusts the number of exits and/or entrances near the target road segment, so as to achieve the alleviation of the congestion of the vehicle. In example 2, the V2X device B on the drive test unit senses that the vehicle a performs lane change operation for multiple times, and determines whether the vehicle a will exit the exit at this time according to the vehicle speed of the vehicle a, so as to determine that an estimated result is obtained. In example 3, the V2X device B on the drive test unit senses that the speed of the vehicle a is decreasing continuously, and determines whether the vehicle a is going to exit or enter the entrance at that time, thereby determining that an estimated result is obtained. Example 4, the V2X device B on the drive test unit controls opening or closing of the doorway near the target road segment by sensing a change in the vehicle speed of the vehicle a, thereby reducing vehicle intersection at the doorway. Example 5, the V2X device a on the vehicle may synchronize navigation information on the vehicle in real time to the V2X device B on the drive test unit, control opening or closing of an entrance near a target road segment, reduce deceleration and traffic congestion, and reduce vehicle congestion.
According to the road congestion processing method and device based on intelligent traffic, provided by the embodiment of the invention, V2X is an intelligent automobile which is formed by interconnecting automobiles and everything and runs on urban roads, and can share real-time data with all V2X terminals on the roads. The information that the automobile end can share includes information such as speed of a motor vehicle, vehicle distance, driving lane, and the like, and after the vehicle information is collected at the road V2X terminal, the congestion index of a road section can be judged, and a certain entrance or exit of the road section is closed according to big data, so that intersection and deceleration merging of vehicles are reduced, and the congestion index of the urban main road is effectively reduced.
According to the road congestion processing method and device based on intelligent traffic, provided by the embodiment of the invention, the exit and the entrance are arranged on the urban main road, and when the road congestion is predicted to occur, the exit or the entrance are closed in time, so that the behaviors of reducing traffic efficiency such as speed reduction and road merging are reduced, the smoothness of the road is ensured, and the congestion caused by too many vehicles on the road is avoided. The urban main road congestion index can be effectively reduced, and urban trip efficiency and the living standard of residents are improved.
The following describes a road congestion processing device based on intelligent traffic according to an embodiment of the present invention, and the road congestion processing device based on intelligent traffic described below and the road congestion processing method based on intelligent traffic described above may be referred to in correspondence with each other.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a road congestion processing device based on intelligent traffic according to an embodiment of the present invention.
In another embodiment of the present invention, an apparatus 600 for processing road congestion based on intelligent traffic includes:
an information obtaining module 610, configured to obtain road traffic information, where the road traffic information includes: traffic information of a main lane road and vehicle information on the main lane road;
the traffic condition determining module 620 is configured to determine a traffic congestion state of a vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road;
and the entrance and exit adjusting module 630 is configured to adjust the number of vehicles entering and exiting from the vehicle exit and/or the vehicle entrance in the main lane road before the traffic congestion occurs in the vehicle according to the traffic congestion state of the vehicle.
Further, the inlet and outlet adjusting module comprises:
an information estimation unit for estimating predicted vehicle position information after a preset time using road traffic information;
an index determination unit for determining a traffic congestion index according to the predicted vehicle position information;
the size comparison unit is used for comparing the size relation between a first number of vehicles to be driven out of the exit and a second number of vehicles to be driven into the entrance in the target road section under the condition that the traffic congestion index exceeds a preset threshold value within preset time;
the entrance and exit control unit is used for opening an exit of the target road section and closing an entrance of the target road section if the first quantity is greater than the second quantity; and if the first quantity is not greater than the second quantity, closing an outlet of the target road section and opening an inlet of the target road section.
Further, still include:
the time acquisition module is used for acquiring the current time;
the time judging module is used for judging whether the current time belongs to the early peak time or the late peak time;
and the entrance and exit regulation and control module is used for controlling the opening and closing of an entrance and an exit of the target road section according to a preset regulation and control mechanism so as to control the quantity of vehicles entering and exiting if the current time belongs to the early peak time or the late peak time.
Referring to fig. 7, fig. 7 is a flowchart illustrating another road congestion processing method based on intelligent traffic according to an embodiment of the present invention, the method including:
step S51: receiving road traffic information uploaded by a plurality of V2X terminals, wherein the road traffic information comprises: the method comprises the steps that the traffic information of a lane main road and the vehicle information on the lane main road are interacted through a V2X terminal installed on a vehicle and a V2X terminal installed on a road side unit;
step S52: generating a traffic jam state of a vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road;
step S53: and issuing a regulating instruction of the number of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the lane main road before the traffic jam occurs to the vehicles according to the traffic jam state of the vehicles.
The road congestion processing method based on intelligent traffic in the embodiment is the same as the road congestion processing method provided in the above embodiment in overall principle, and is characterized in that: the traffic information of the lane main road and the vehicle information on the lane main road are interacted through a V2X terminal installed on the vehicle and a V2X terminal on a road side unit; that is, for good information interaction of the big data cloud server with the vehicle, the V2X terminal is installed on the main lane road and the vehicle, thereby facilitating the acquisition of the vehicle information. Of course, communication may be performed by using a communication means in the related art, for example, a mobile communication module, a 4G module, a 5G module, or the like.
Fig. 8 illustrates an entity structure diagram of a big data cloud server, and as shown in fig. 8, the big data cloud server may include: a processor (processor)810, a communication Interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication Interface 820 and the memory 830 communicate with each other via the communication bus 840. The processor 810 may invoke logic instructions in the memory 830 to perform a method for intelligent traffic-based road congestion handling, the method comprising: acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road; determining the traffic jam state of the vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road; and adjusting the quantity of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the main lane road according to the traffic jam state of the vehicles before the vehicles are congested.
In addition, the logic instructions in the memory 830 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to execute the method for processing road congestion based on intelligent traffic provided in the foregoing embodiments, where the method includes: acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road; determining the traffic jam state of the vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road; and adjusting the quantity of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the main lane road according to the traffic jam state of the vehicles before the vehicles are congested.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A road congestion processing method based on intelligent traffic is characterized by comprising the following steps:
acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road;
determining the traffic jam state of the vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road;
and adjusting the quantity of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the main lane road according to the traffic jam state of the vehicles before the vehicles are congested.
2. The method of claim 1,
the traffic information of the lane main road includes: traffic accident information of the main lane road and traffic jam information of the main lane road;
determining the traffic congestion state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road comprises:
determining whether the traffic jam state of the vehicle is caused by a traffic accident according to the traffic accident information of the main lane road;
and/or determining whether the traffic jam state of the vehicle is caused on the lane main road according to the traffic jam information of the lane main road.
3. The method of claim 1,
the vehicle information on the main lane road includes at least one of: vehicle speed, vehicle number, vehicle speed, turn lights, navigation information, vehicle position;
determining the traffic congestion state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road comprises:
and determining whether the traffic jam state is caused by illegal vehicle driving according to at least one vehicle information of the vehicle speed, the vehicle number, the vehicle speed, the turn lamp, the navigation information and the vehicle position.
4. The method of claim 1,
the adjusting the number of vehicles entering and exiting from the vehicle exit and/or the vehicle entrance in the main lane road before the traffic jam occurs to the vehicle according to the traffic jam state of the vehicle comprises:
calculating predicted vehicle position information after a preset time by using the road traffic information;
determining a traffic jam index according to the predicted vehicle position information;
comparing a magnitude relationship between a first number of vehicles to be driven out of the exit and a second number of vehicles to be driven into the entrance in the target road segment under the condition that the traffic congestion index exceeds a preset threshold within a preset time;
if the first number is larger than the second number, opening an outlet of the target road section, and closing an inlet of the target road section;
and if the first quantity is not greater than the second quantity, closing an outlet of the target road section and opening an inlet of the target road section.
5. The method according to any one of claims 1 to 4, characterized in that, before the acquiring road traffic information, further comprising:
acquiring current time;
judging whether the current time belongs to an early peak time or a late peak time;
if so, controlling the opening and closing of the inlet and the outlet of the target road section according to a preset regulation and control mechanism so as to control the quantity of vehicles entering and exiting.
6. A road congestion processing device based on intelligent traffic is characterized by comprising:
the information acquisition module is used for acquiring road traffic information, wherein the road traffic information comprises: traffic information of a main lane road and vehicle information on the main lane road;
the traffic condition determining module is used for determining the traffic jam state of the vehicle according to the traffic information of the main lane road and/or the vehicle information on the main lane road;
and the entrance and exit adjusting module is used for adjusting the number of vehicles entering and exiting from a vehicle exit and/or a vehicle entrance in the lane main road before the traffic jam occurs to the vehicles according to the traffic jam state of the vehicles.
7. The intelligent traffic-based road congestion processing device according to claim 6,
the inlet and outlet adjusting module comprises:
an information estimation unit for estimating predicted vehicle position information after a preset time using road traffic information;
an index determination unit for determining a traffic congestion index according to the predicted vehicle position information;
the size comparison unit is used for comparing the size relation between a first number of vehicles to be driven out of the exit and a second number of vehicles to be driven into the entrance in the target road section under the condition that the traffic congestion index exceeds a preset threshold value within preset time;
the entrance and exit control unit is used for opening an exit of the target road section and closing an entrance of the target road section if the first quantity is greater than the second quantity; and if the first quantity is not greater than the second quantity, closing an outlet of the target road section and opening an inlet of the target road section.
8. The intelligent traffic-based road congestion processing device according to claim 6, further comprising:
the time acquisition module is used for acquiring the current time;
the time judging module is used for judging whether the current time belongs to the early peak time or the late peak time;
and the entrance and exit regulation and control module is used for controlling the opening and closing of an entrance and an exit of the target road section according to a preset regulation and control mechanism so as to control the quantity of vehicles entering and exiting if the current time belongs to the early peak time or the late peak time.
9. A road congestion processing method based on intelligent traffic is characterized by comprising the following steps:
receiving road traffic information uploaded by a plurality of V2X terminals, wherein the road traffic information comprises: the method comprises the steps that the traffic information of a lane main road and the vehicle information on the lane main road are interacted through a V2X terminal installed on a vehicle and a V2X terminal installed on a road side unit;
generating a traffic jam state of a vehicle according to the traffic information of the lane main road and/or the vehicle information on the lane main road;
and issuing a regulating instruction of the number of vehicles entering and exiting from a vehicle outlet and/or a vehicle inlet in the lane main road before the traffic jam occurs to the vehicles according to the traffic jam state of the vehicles.
10. A non-transitory computer readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the intelligent traffic based road congestion processing method according to any one of claims 1 to 5.
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