CN115620535A - Traffic signal lamp management method and system based on big data - Google Patents
Traffic signal lamp management method and system based on big data Download PDFInfo
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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Abstract
The invention relates to the field of traffic management, and discloses a traffic signal lamp management method and system based on big data, which comprises a road flow monitoring module, a road flow analysis module, a signal duration adjustment module and a signal guide output module; carry out real-time perception to the traffic conditions based on sensing acquisition equipment, and then carry out the control of signal lamp based on real-time traffic state, reach the traffic mediation guide function that has high ageing, can replace current artifical traffic in special time quantum to a certain extent and dredge, intersect and also can realize more global observation guide effect in the manual work, solve the signal lamp can't carry out intelligent transportation guide signal output's weak point according to the traffic state among the prior art.
Description
Technical Field
The invention relates to the related field of traffic management, in particular to a traffic signal lamp management method and system based on big data.
Background
The automobile holding capacity is rapidly increased, the urban traffic is tested more seriously, the passable efficiency of the inherent road is fixed particularly in the peak trip time period, and if the vehicles in different flow directions at the intersection cannot be reasonably dredged, part of the flow directions are easily and rapidly accumulated to generate congestion.
The existing traffic lights are mostly fixed time when in use, and part of the existing traffic lights are provided with different preset time standards according to different time periods, but no matter which one of the preset time standards is, the existing traffic lights do not have real-time performance of a traffic site, so that the adjustment of dredging can not be carried out based on actual traffic flow change, and under the special scene, part of intersections can be normally provided with manual work for dredging, so that the vicious traffic jam circulation of traffic is avoided.
Disclosure of Invention
The invention aims to provide a traffic signal lamp management method and system based on big data, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a big data-based traffic signal lamp management system comprises:
the road traffic monitoring module is used for acquiring traffic flow information corresponding to different traffic flow directions of a plurality of roads through preset sensing equipment, and performing covering addition of the traffic flow information on a preset road network model according to a plurality of sets of the traffic flow information to generate a road vehicle flow model;
the road flow analysis module is used for analyzing and counting the traffic flow information in different flow directions based on the vehicle flow model, acquiring traffic flow information in multiple flow directions corresponding to each group of signal lamps, and generating a periodic traffic flow ratio among multiple groups of signal lamps according to the traffic flow information in the multiple flow directions;
the signal duration adjusting module is used for acquiring the traffic flow information corresponding to the maximum value in the periodic traffic flow ratio, performing simulation analysis according to the traffic flow information, generating the longest signal duration required by traffic flow passing signal lamps in the corresponding flow direction, and calculating and acquiring the output duration of each group of signal lamps based on the periodic traffic flow ratio and the longest signal duration;
and the signal guide output module is used for correspondingly controlling the multiple groups of signal lamps to output control signals in sequence according to the output duration, and when the control signals of each group of signal lamps are output, the group of signal lamps enter the next period to acquire traffic flow information.
As a further scheme of the invention: still include the sharing monitoring module, specifically include:
the shared link unit is used for establishing an information sharing network, sending a guidance assistance request to a vehicle user side through the information sharing network, and if the vehicle user side responds to the guidance assistance request, establishing a communication channel and receiving vehicle navigation information from the vehicle user side;
the model optimization unit is used for correspondingly matching the vehicle and the vehicle navigation information through a preset vehicle identification code, correcting and confirming the flow direction of the vehicle based on the vehicle navigation information, and optimizing the vehicle flow model and improving the accuracy of the vehicle flow model.
As a further scheme of the invention: the road flow analysis module further comprises:
the road condition analysis unit is used for judging the density of the traffic flow of different roads in multiple flowing directions in the vehicle flowing model and generating density grade marks corresponding to different roads in different flowing directions;
the guiding feedback unit is used for generating traffic guiding signals according to the density grade marks when the traffic flow in a certain flow direction exceeds a preset value, and the traffic guiding signals are used for dispersedly guiding the traffic to the corresponding flow direction of the adjacent road with low density grade;
and the guidance output unit is used for screening and updating the vehicle navigation information according to the traffic flow guidance signal, generating a drainage navigation signal and forwarding the drainage navigation signal to a vehicle user side, generating a road traffic guidance signal according to the traffic flow guidance signal, and outputting the road traffic guidance signal through a traffic sign.
As a further scheme of the invention: the emergency control module is also included;
the emergency control module is used for identifying the vehicle based on preset special identification characteristics to generate an identification result, if the identification result represents that the vehicle is a special vehicle and is in an emergency state, an emergency control signal corresponding to a flow direction signal lamp is generated, and the emergency control signal is used for guiding the vehicle corresponding to the flow direction to rapidly flow and empty through the signal lamp.
As a still further scheme of the invention: the road flow analysis module includes:
and the analysis selection unit is used for judging the flow direction traffic flow information corresponding to each group of signal lamps, and selecting the traffic flow in the flow direction with the maximum traffic flow as a data basis for generating the periodic traffic flow ratio.
The embodiment of the invention aims to provide a traffic signal lamp management method based on big data, which comprises the following steps:
acquiring traffic flow information corresponding to different vehicle flow directions of a plurality of roads through preset sensing equipment, and performing coverage addition on the traffic flow information on a preset road network model according to a plurality of groups of the traffic flow information to generate a road vehicle flow model;
analyzing and counting the traffic flow information in different flow directions based on the vehicle flow model, acquiring traffic flow information in a plurality of flow directions corresponding to each group of signal lamps, and generating a periodic traffic flow ratio among a plurality of groups of signal lamps according to the traffic flow information in the plurality of flow directions;
acquiring the traffic flow information corresponding to the maximum value in the periodic traffic flow ratio, performing simulation analysis according to the traffic flow information, generating the longest signal duration required by traffic flow passing signal lamps in the corresponding flow direction, and calculating and acquiring the output duration of each group of signal lamps based on the periodic traffic flow ratio and the longest signal duration;
and correspondingly controlling a plurality of groups of signal lamps to output control signals in sequence according to the output duration, and when the control signals of each group of signal lamps are output, enabling the group of signal lamps to enter the next period to acquire traffic flow information.
As a further scheme of the invention: further comprising the steps of:
establishing an information sharing network, sending a guidance assistance request to a vehicle user side through the information sharing network, and if the vehicle user side responds to the guidance assistance request, establishing a communication channel and receiving vehicle navigation information from the vehicle user side;
the method comprises the steps of carrying out corresponding matching on a vehicle and vehicle navigation information through a preset vehicle identification code, correcting and confirming the flowing direction of the vehicle based on the vehicle navigation information, and optimizing the vehicle flowing model for improving the accuracy of the vehicle flowing model.
As a further scheme of the invention: further comprising the steps of:
density judgment is carried out on the traffic flow of different roads in multiple flow directions in the vehicle flow model, and density grade marks corresponding to different roads in different flow directions are generated;
when the traffic flow in a certain flow direction exceeds a preset value, generating traffic flow guiding signals according to the density grade marks, wherein the traffic flow guiding signals are used for dispersedly guiding the traffic flow to the corresponding flow direction of the adjacent road with low density grade;
and screening and updating the vehicle navigation information according to the traffic flow guiding signal, generating a drainage navigation signal and forwarding the drainage navigation signal to a vehicle user side, generating a road traffic guiding signal according to the traffic flow guiding signal, and outputting the road traffic guiding signal through a traffic sign.
As a further scheme of the invention: further comprising the steps of:
the method comprises the steps of identifying a vehicle based on preset special identification characteristics, generating an identification result, and if the identification result indicates that the vehicle is a special vehicle and is in an emergency state, generating an emergency control signal corresponding to a signal lamp in a flowing direction, wherein the emergency control signal is used for guiding the vehicle corresponding to the flowing direction to quickly flow and empty through the signal lamp.
As a further scheme of the invention: the step of generating the periodic traffic flow ratio among the multiple groups of signal lamps according to the traffic flow information of the multiple flow directions further comprises the following steps:
and judging a plurality of flow direction traffic flow information corresponding to each group of signal lamps, and selecting the traffic flow in the flow direction with the maximum traffic flow as a data basis for generating a periodic traffic flow ratio.
Compared with the prior art, the invention has the beneficial effects that: carry out real-time perception to the traffic conditions based on sensing acquisition equipment, and then carry out the control of signal lamp based on real-time traffic state, reach the traffic mediation guide function that has high ageing, can replace current artifical traffic in special time quantum to a certain extent and dredge, intersect and also can realize more global observation guide effect in the manual work, solve the signal lamp can't carry out intelligent transportation guide signal output's weak point according to the traffic state among the prior art.
Drawings
Fig. 1 is a block diagram of a traffic signal management system based on big data.
Fig. 2 is a block diagram of a shared monitoring module in a traffic signal lamp management system based on big data.
Fig. 3 is a flow chart of a traffic light management method based on big data.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following detailed description of specific embodiments of the present invention is provided in connection with specific embodiments.
As shown in fig. 1, a traffic signal light management system based on big data according to an embodiment of the present invention includes the following steps:
the road traffic monitoring module 100 is configured to acquire traffic information corresponding to different traffic directions of a plurality of roads through a preset sensing device, and perform coverage addition of the traffic information on a preset road network model according to a plurality of sets of the traffic information to generate a road vehicle flow model.
The road traffic analysis module 300 is configured to analyze and count the traffic flow information in different flow directions based on the vehicle flow model, obtain traffic flow information in multiple flow directions corresponding to each group of signal lamps, and generate a periodic traffic flow ratio between multiple groups of signal lamps according to the traffic flow information in multiple flow directions.
The signal duration adjusting module 500 is configured to obtain the traffic flow information corresponding to the maximum value in the periodic traffic flow ratio, perform simulation analysis according to the traffic flow information, generate the longest signal duration required by the traffic flow passing signal lamps in the corresponding flow direction, and calculate and obtain the output duration of each group of signal lamps based on the periodic traffic flow ratio and the longest signal duration.
And the signal guidance output module 700 is configured to correspondingly control the multiple groups of signal lamps to sequentially output the control signals according to the output duration, and when the control signal output of each group of signal lamps is completed, the group of signal lamps enters the next cycle of traffic flow information acquisition.
In the embodiment, a traffic signal lamp management system based on big data is provided, which senses traffic conditions in real time based on sensing acquisition equipment, controls signal lamps based on real-time traffic conditions, achieves a traffic dredging and guiding function with high timeliness, can replace the existing artificial traffic dredging in a special time period to a certain extent, can realize a more global observation guiding effect when crossing with manual work, and solves the defect that the signal lamps in the prior art cannot output intelligent traffic guiding signals according to the traffic conditions; when the traffic flow control system is used specifically, traffic flow conditions on a road are obtained through equipment with a sensing recognition function, such as a camera arranged on the road, a road vehicle flow model is established according to the obtained traffic flow information, namely, a twin model of a real mirror image can be used for analyzing and simulating and judging the road conditions by the system, the traffic flow information of lanes corresponding to the roads controlled by different signal lamps is analyzed, the number of vehicles which correspond to different traffic lamps and need to pass is generated, and then the acquisition of the signal lamp time ratio and the judgment of the total time length (the time length and the ratio refer to one with the largest traffic flow in a plurality of flow directions corresponding to a certain signal lamp on the road) are carried out according to the number of vehicles corresponding to different signal lamps, so that the signal output of the signal lamp is controlled.
As shown in fig. 2, as another preferred embodiment of the present invention, the present invention further includes a shared monitoring module 900, which specifically includes:
the shared link unit 901 is configured to establish an information sharing network, send a guidance assistance request to a vehicle user terminal through the information sharing network, and if the vehicle user terminal responds to the guidance assistance request, establish a communication channel and receive vehicle navigation information from the vehicle user terminal.
The model optimization unit 902 is configured to perform corresponding matching on the vehicle and the vehicle navigation information through a preset vehicle identification code, modify and confirm the flow direction of the vehicle based on the vehicle navigation information, and optimize the vehicle flow model to improve the accuracy of the vehicle flow model.
In this embodiment, the effect of sharing monitoring module 900 is that the vehicle carries out the interaction of information with the road on, agrees through vehicle user's authority, can acquire the navigation route of vehicle, and then can carry out further correction to vehicle flow model, promotes the accuracy of data to promote the accuracy of signal lamp control, optimize the effect of traffic guidance mediation.
As another preferred embodiment of the present invention, the road flow analysis module 300 further includes:
and the road condition analysis unit is used for judging the density of the traffic flow of different roads in multiple flowing directions in the vehicle flowing model and generating density grade marks corresponding to different roads in different flowing directions.
And the guiding feedback unit is used for generating traffic guiding signals according to the density grade marks when the traffic flow in a certain flow direction exceeds a preset value, and the traffic guiding signals are used for dispersedly guiding the traffic to the corresponding flow direction of the adjacent road with low density grade.
And the guidance output unit is used for screening and updating the vehicle navigation information according to the traffic flow guidance signal, generating a drainage navigation signal and forwarding the drainage navigation signal to a vehicle user side, generating a road traffic guidance signal according to the traffic flow guidance signal, and outputting the road traffic guidance signal through a traffic sign.
In this embodiment, further function expansion explanation has been performed on the road traffic analysis module 300, on the basis of sharing with the vehicle navigation information of the vehicle, further traffic optimization can be realized, the simulation of vehicle diversion is performed through navigation according to the vehicle, and then a new guidance route is regenerated and output to the vehicle, so that when there are many vehicles in a certain direction, diversion can be performed through roads with few other vehicles nearby, in the process of achieving diversion, output can be performed through a road guidance traffic sign, the guidance vehicle selects other roads (some roads may be provided with variable lanes that can flow to, dynamic output is performed through a display screen), and then the effect of traffic dredging diversion is optimized.
As another preferred embodiment of the invention, the system further comprises an emergency control module;
the emergency control module is used for identifying the vehicle based on preset special identification characteristics to generate an identification result, if the identification result represents that the vehicle is a special vehicle and is in an emergency state, an emergency control signal corresponding to a flow direction signal lamp is generated, and the emergency control signal is used for guiding the vehicle corresponding to the flow direction to rapidly flow and empty through the signal lamp.
In the embodiment, when special vehicles exist on the road, such as fire fighting vehicles, ambulance vehicles and the like, the special vehicles are identified by the system when the special vehicles are in the attendance state, and then the signal lamp outputs a normally green control signal to rapidly dredge the traffic and strive for time.
As another preferred embodiment of the present invention, the road flow analysis module 300 includes:
and the analysis selection unit is used for judging the flow direction traffic flow information corresponding to each group of signal lamps, and selecting the traffic flow in the flow direction with the maximum traffic flow as a data basis for generating the periodic traffic flow ratio.
In this embodiment, when unifying signals of a plurality of flow directions guided by the signal lamp, the determination is performed based on a larger number of flow direction units, the determination is performed on the bidirectional road by the number of both sides, and when the data of one side is extremely large, the priority determination is performed according to the number of one side.
As shown in fig. 3, the present invention further provides a traffic signal light management method based on big data, which comprises the steps of:
s200, obtaining traffic flow information corresponding to different traffic flow directions of a plurality of roads through preset sensing equipment, and performing coverage addition of the traffic flow information on a preset road network model according to a plurality of groups of traffic flow information to generate a road vehicle flow model.
S400, analyzing and counting the traffic flow information in different flow directions based on the vehicle flow model, acquiring traffic flow information in multiple flow directions corresponding to each group of signal lamps, and generating a periodic traffic flow ratio among multiple groups of signal lamps according to the traffic flow information in the multiple flow directions.
S600, obtaining the traffic flow information corresponding to the maximum value in the periodic traffic flow ratio, performing simulation analysis according to the traffic flow information, generating the longest signal duration required by traffic flow passing signal lamps in the corresponding flow direction, and calculating and obtaining the output duration of each group of signal lamps based on the periodic traffic flow ratio and the longest signal duration.
And S800, correspondingly controlling a plurality of groups of signal lamps to output control signals in sequence according to the output duration, and when the control signals of each group of signal lamps are output, acquiring traffic flow information of the group of signal lamps in the next period.
As another preferred embodiment of the present invention, further comprising the steps of:
the method comprises the steps of establishing an information sharing network, sending a guiding assistance request to a vehicle user side through the information sharing network, and if the vehicle user side responds to the guiding assistance request, establishing a communication channel and receiving vehicle navigation information from the vehicle user side.
The method comprises the steps of carrying out corresponding matching on a vehicle and vehicle navigation information through a preset vehicle identification code, correcting and confirming the flowing direction of the vehicle based on the vehicle navigation information, and optimizing the vehicle flowing model for improving the accuracy of the vehicle flowing model.
As another preferred embodiment of the present invention, further comprising the steps of:
and carrying out density judgment on the traffic flow of different roads in multiple flow directions in the vehicle flow model to generate density grade marks corresponding to different roads in different flow directions.
And when the traffic flow in a certain flow direction exceeds a preset value, generating traffic flow guiding signals according to the density grade marks, wherein the traffic flow guiding signals are used for dispersedly guiding the traffic flow to the corresponding flow direction of the adjacent road with low density grade.
And screening and updating the vehicle navigation information according to the traffic flow guiding signal, generating a drainage navigation signal and forwarding the drainage navigation signal to a vehicle user side, generating a road traffic guiding signal according to the traffic flow guiding signal, and outputting the road traffic guiding signal through a traffic sign.
As another preferred embodiment of the present invention, further comprising the steps of:
the method comprises the steps of identifying a vehicle based on a preset special identification characteristic, generating an identification result, and if the identification result represents that the vehicle is a special vehicle and is in an emergency state, generating an emergency control signal corresponding to a signal lamp in a flowing direction, wherein the emergency control signal is used for guiding the vehicle corresponding to the flowing direction to rapidly flow and empty through the signal lamp.
As another preferred embodiment of the present invention, the step of generating periodic traffic flow ratio values among multiple groups of signal lamps according to the traffic flow information of multiple flow directions further comprises the preceding steps of:
and judging a plurality of flow direction traffic flow information corresponding to each group of signal lamps, and selecting the traffic flow in the flow direction with the maximum traffic flow as a data basis for generating a periodic traffic flow ratio.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A traffic signal lamp management system based on big data is characterized by comprising:
the road traffic monitoring module is used for acquiring traffic flow information corresponding to different traffic flow directions of a plurality of roads through preset sensing equipment, and performing covering addition of the traffic flow information on a preset road network model according to a plurality of sets of the traffic flow information to generate a road vehicle flow model;
the road flow analysis module is used for analyzing and counting the traffic flow information in different flow directions based on the vehicle flow model, acquiring traffic flow information in multiple flow directions corresponding to each group of signal lamps, and generating a periodic traffic flow ratio among multiple groups of signal lamps according to the traffic flow information in multiple flow directions;
the signal duration adjusting module is used for acquiring the traffic flow information corresponding to the maximum value in the periodic traffic flow ratio, performing simulation analysis according to the traffic flow information, generating the longest signal duration required by traffic flow passing signal lamps in the corresponding flow direction, and calculating and acquiring the output duration of each group of signal lamps based on the periodic traffic flow ratio and the longest signal duration;
and the signal guide output module is used for correspondingly controlling the multiple groups of signal lamps to output control signals in sequence according to the output duration, and when the control signals of each group of signal lamps are output, the group of signal lamps enter the next period to acquire traffic flow information.
2. The traffic signal lamp management system based on big data according to claim 1, characterized by further comprising a shared monitoring module, specifically comprising:
the shared link unit is used for establishing an information sharing network, sending a guidance assistance request to a vehicle user side through the information sharing network, and if the vehicle user side responds to the guidance assistance request, establishing a communication channel and receiving vehicle navigation information from the vehicle user side;
and the model optimization unit is used for correspondingly matching the vehicle and the vehicle navigation information through a preset vehicle identification code, correcting and confirming the flow direction of the vehicle based on the vehicle navigation information, and optimizing the vehicle flow model for improving the accuracy of the vehicle flow model.
3. The big-data-based traffic signal lamp management system according to claim 2, wherein the road flow analysis module comprises:
the road condition analysis unit is used for judging the density of the traffic flow of different roads in multiple flowing directions in the vehicle flowing model and generating density grade marks corresponding to different roads in different flowing directions;
the guiding feedback unit is used for generating traffic guiding signals according to the density grade marks when the traffic flow in a certain flow direction exceeds a preset value, and the traffic guiding signals are used for dispersedly guiding the traffic to the corresponding flow direction of the adjacent road with low density grade;
and the guidance output unit is used for screening and updating the vehicle navigation information according to the traffic flow guidance signal, generating a drainage guidance signal and forwarding the drainage guidance signal to a vehicle user side, generating a road traffic guidance signal according to the traffic flow guidance signal, and outputting the road traffic guidance signal through a traffic sign.
4. The big-data-based traffic signal lamp management system according to claim 1, further comprising an emergency control module;
the emergency control module is used for identifying the vehicle based on preset special identification characteristics to generate an identification result, if the identification result represents that the vehicle is a special vehicle and is in an emergency state, an emergency control signal corresponding to a flow direction signal lamp is generated, and the emergency control signal is used for guiding the vehicle corresponding to the flow direction to rapidly flow and empty through the signal lamp.
5. The big-data-based traffic signal lamp management system according to claim 1, wherein the road flow analysis module comprises:
and the analysis selection unit is used for judging the flow direction traffic flow information corresponding to each group of signal lamps, and selecting the traffic flow in the flow direction with the maximum traffic flow as a data basis for generating the periodic traffic flow ratio.
6. A traffic signal lamp management method based on big data is characterized by comprising the following steps:
acquiring traffic flow information corresponding to different vehicle flow directions of a plurality of roads through preset sensing equipment, and performing coverage addition on the traffic flow information on a preset road network model according to a plurality of groups of the traffic flow information to generate a road vehicle flow model;
analyzing and counting the traffic flow information in different flow directions based on the vehicle flow model, acquiring traffic flow information in a plurality of flow directions corresponding to each group of signal lamps, and generating a periodic traffic flow ratio among a plurality of groups of signal lamps according to the traffic flow information in the plurality of flow directions;
acquiring the traffic flow information corresponding to the maximum value in the periodic traffic flow ratio, performing simulation analysis according to the traffic flow information, generating the longest signal duration required by traffic flow passing signal lamps in the corresponding flow direction, and calculating and acquiring the output duration of each group of signal lamps based on the periodic traffic flow ratio and the longest signal duration;
and correspondingly controlling a plurality of groups of signal lamps to sequentially output control signals according to the output duration, and entering the next period of traffic flow information acquisition by the group of signal lamps after the control signals of each group of signal lamps are output.
7. The big-data-based traffic signal lamp management method according to claim 6, further comprising the steps of:
establishing an information sharing network, sending a guiding assistance request to a vehicle user side through the information sharing network, and if the vehicle user side responds to the guiding assistance request, establishing a communication channel and receiving vehicle navigation information from the vehicle user side;
the method comprises the steps of carrying out corresponding matching on a vehicle and vehicle navigation information through a preset vehicle identification code, correcting and confirming the flowing direction of the vehicle based on the vehicle navigation information, and optimizing the vehicle flowing model for improving the accuracy of the vehicle flowing model.
8. The big data based traffic signal lamp management method according to claim 7, further comprising the steps of:
density judgment is carried out on the traffic flow in a plurality of flow directions of different roads in the vehicle flow model, and density grade marks corresponding to the different flow directions of the different roads are generated;
when the traffic flow in a certain flow direction exceeds a preset value, generating traffic flow guiding signals according to the density grade marks, wherein the traffic flow guiding signals are used for dispersedly guiding the traffic flow to the corresponding flow direction of the adjacent road with low density grade;
and screening and updating the vehicle navigation information according to the traffic flow guiding signal, generating a drainage navigation signal and forwarding the drainage navigation signal to a vehicle user side, generating a road traffic guiding signal according to the traffic flow guiding signal, and outputting the road traffic guiding signal through a traffic sign.
9. The big-data-based traffic signal lamp management method according to claim 6, further comprising the steps of:
the method comprises the steps of identifying a vehicle based on a preset special identification characteristic, generating an identification result, and if the identification result represents that the vehicle is a special vehicle and is in an emergency state, generating an emergency control signal corresponding to a signal lamp in a flowing direction, wherein the emergency control signal is used for guiding the vehicle corresponding to the flowing direction to rapidly flow and empty through the signal lamp.
10. The big-data-based traffic signal lamp management method according to claim 6, wherein the step of generating periodic traffic flow ratios among the signal lamps according to the traffic flow information of the plurality of flow directions further comprises the steps of:
and judging a plurality of flow direction traffic flow information corresponding to each group of signal lamps, and selecting the traffic flow in the flow direction with the maximum traffic flow as a data basis for generating a periodic traffic flow ratio.
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| CN116403419A (en) * | 2023-06-07 | 2023-07-07 | 贵州鹰驾交通科技有限公司 | Traffic light control method based on vehicle-road cooperation |
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| CN116403419B (en) * | 2023-06-07 | 2023-08-25 | 贵州鹰驾交通科技有限公司 | Traffic light control method based on vehicle-road cooperation |
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