CN117809460B - Intelligent traffic regulation and control method and system - Google Patents
Intelligent traffic regulation and control method and system Download PDFInfo
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Abstract
The invention belongs to the technical field of intelligent traffic regulation and control, and particularly relates to an intelligent traffic regulation and control method and system, comprising the following steps: acquiring traffic flow information of each road section and traffic light state information of each crossroad in a deployment area of the intelligent traffic control system in real time; based on preset rules and traffic flow information, calculating the congestion degree of each road section in real time, and setting the priority of each road section according to the congestion degree; when the number of low priorities in the system deployment area is larger than a preset threshold, sending the priorities to the traffic terminal to control the state regulation of the traffic lights at the crossroad. When an emergency navigation request is received, planning an optimal navigation path matched with a departure place and a destination by taking priority as a parameter based on the emergency navigation request; and adjusting the traffic light state in the crossing through which the optimal navigation path passes according to the optimal navigation path, and issuing the optimal navigation path to the user terminal. The invention can improve the urban traffic jam state and greatly shorten the running time of the user under the emergency condition.
Description
Technical Field
The invention belongs to the technical field of intelligent traffic regulation and control, and particularly relates to an intelligent traffic regulation and control method and system.
Background
With the progress of science and technology and the development of age, the life quality of urban population is gradually improved, urban vehicles are gradually increased, and traffic jam becomes a big problem of urban traffic. The construction of urban traffic systems is one of the important links in urban construction to enable orderly traffic in cities.
The traffic light system distributed at each intersection of the city plays an extremely important role in the orderly passage of urban traffic. In the existing traffic light system, the traffic light state is usually manually controlled by a centralized control box arranged at each time intersection. However, in the actual operation process, the control mode has the problems of high safety risk and high time cost, and is mainly characterized by the following points:
1. The state information of each intersection traffic light mainly depends on the current intersection traffic light second reading information which is queried by users and provided by App such as a hundred-degree map, a Goldmap and the like, the intersection traffic light state information is obtained by cloud computing, the data accuracy is low, urban traffic cannot be reasonably planned according to the congestion condition of each road section, and the traffic time in the peak period is saved.
2. When a certain vehicle needs to make an emergency request such as medical treatment or driving to an accident scene, a traffic police is usually required to reach each intersection along the line, and a traffic light arranged at the intersection is manually controlled through a centralized control box so as to directly adjust a traffic light system to a green light state, thereby enabling the emergency vehicle to quickly reach a designated place. The traffic police is required to consume a certain control time in the mode, so that the time for the emergency vehicle to travel to a destination is correspondingly increased, and a certain potential safety hazard exists.
Disclosure of Invention
In view of the above, the present invention provides an intelligent traffic control system to solve the problems of high safety risk and high time cost in the prior art.
In order to solve the technical problems, the invention adopts the following technical scheme:
an intelligent traffic control method, comprising the following steps:
Acquiring traffic flow information and traffic light state information of each crossroad in an intelligent traffic control system deployment area in real time; the intelligent traffic control system deployment area comprises a plurality of crossroads and a plurality of road sections connected with the crossroads;
Based on preset rules and traffic flow information, calculating the congestion degree of each road section in the deployment area of the intelligent traffic control system in real time, and setting the priority among each road section according to the congestion degree; the priority levels are high, medium and low, wherein the high priority level refers to the current road section in a non-congestion state, the medium priority level refers to the current road section in a light congestion state, and the low priority level refers to the current road section in a heavy congestion state;
When the number of low priorities in the deployment area of the intelligent traffic control system is larger than a preset threshold, the priorities are sent to the traffic police terminals, and the traffic police terminals regulate and control the states of the traffic lights of all the crossroads in the deployment area of the intelligent traffic control system based on the state information and the priorities of the traffic lights of all the crossroads so as to improve traffic efficiency;
When receiving the emergency navigation request, processing the emergency navigation request, and extracting a departure place and a destination; taking the priority as a parameter, planning an optimal navigation path matched with a departure place and a destination in a deployment area of the intelligent traffic control system; and adjusting traffic light systems in the crossroads through which the optimal navigation paths pass to be in a green light state, and transmitting the optimal navigation paths to the user terminal.
Further, the step of calculating the congestion degree of each road section in the deployment area of the intelligent traffic control system in real time based on the preset rule and the traffic flow information comprises the following steps:
Respectively counting the real-time vehicle circulation quantity, the corresponding speed limit value and the length of each road section passing through within a preset time threshold;
And respectively calculating the congestion degree corresponding to each road section according to the real-time vehicle circulation quantity, the speed limit value and the length.
Further, according to the real-time vehicle circulation quantity, the speed limit value and the length, the congestion degree corresponding to each road segment is calculated, and the method comprises the following steps:
Calculating a vehicle circulation coefficient corresponding to each road section according to the speed limit value and the length, and calculating a theoretical vehicle circulation quantity corresponding to each road section according to the vehicle circulation coefficient and the real-time vehicle circulation quantity;
judging whether a target difference value between the real-time vehicle circulation quantity and the theoretical vehicle circulation quantity of each road section is within a preset difference value threshold value or not in real time;
if the target difference value between the real-time vehicle circulation quantity and the theoretical vehicle circulation quantity of each road section is judged to be within the preset difference value threshold value in real time, the road section is judged to be not congested at present, and the vehicle circulation coefficient is unique.
Further, when an emergency navigation request of a user is received, an optimal navigation path adapted to a departure place and a destination is planned in a deployment area of the intelligent traffic control system by taking priority as a parameter, and the method comprises the following steps:
Constructing an auxiliary line for connecting a departure place and a destination in a deployment area of the intelligent traffic control system, and dividing a corresponding target area by taking the destination as a circle center and the auxiliary line as a radius;
Generating corresponding road segment ranks by taking priority as a parameter in the target area, and extracting a plurality of target road segments meeting the requirement from a departure place to a destination according to the ranking order from the road segment ranks;
And (3) sequentially performing splicing processing on a plurality of target road sections from the departure place, so that the optimal navigation path can be correspondingly generated.
An intelligent traffic regulation system comprising:
The data acquisition module is connected with the data processing module; the intelligent traffic control system deployment method comprises the steps of acquiring traffic flow information in an intelligent traffic control system deployment area in real time; the intelligent traffic control system deployment area comprises a plurality of crossroads and a plurality of road sections connected with the crossroads;
The data processing module is connected with the central control module; based on preset rules and traffic flow information, calculating the congestion degree of each road section in the target area map in real time; setting the priority among each path segment according to the congestion degree; the priority levels are high, medium and low, wherein the high priority level refers to the current road section in a non-congestion state, the medium priority level refers to the current road section in a light congestion state, and the low priority level refers to the current road section in a heavy congestion state; when an emergency navigation request sent by a traffic police terminal is received, the emergency navigation request is processed, and a departure place and a destination are extracted; taking the priority as a parameter, planning an optimal navigation path matched with a departure place and a destination in a deployment area of the intelligent traffic control system as an emergency navigation path;
the central control module is connected with the traffic police terminal and used for sending the priority to the traffic police terminal when the number of the low priority in the deployment area of the intelligent traffic control system is larger than a preset threshold; when the emergency navigation path is received, the emergency navigation path is sent to the traffic terminal;
the crossroad control unit is interconnected with the traffic police terminal and is used for driving the crossroad traffic lights to adjust the states and sending real-time state information of the traffic lights to the traffic police terminal;
The traffic police terminal and the user terminal form an interactive display module together, and the interactive display module is specific:
The traffic police terminal is connected with the crossroad control unit, generates a first regulation and control instruction based on the current state information of each crossroad traffic light and the received priority, and sends the first regulation and control instruction to the crossroad control unit so as to control the state adjustment of the corresponding crossroad red and green light, improve the traffic efficiency and ensure smooth traffic; and receiving or rejecting an emergency navigation request initiated by a user according to actual conditions, when receiving the emergency navigation request sent by the user terminal, sending the emergency navigation request to a data processing module, acquiring an emergency navigation path, generating a second regulation and control instruction according to the emergency navigation path, sending the second regulation and control instruction to an intersection control unit, controlling traffic light states in intersections through which the optimal navigation path passes to be all adjusted to be green light states, and sending the optimal navigation path to the user terminal.
Furthermore, each module of the intelligent traffic control system is in communication connection.
Further, in order to prevent accidents, the user is ensured to smoothly reach the destination. The intelligent traffic regulation and control system is characterized in that an emergency navigation module is further arranged in the intelligent traffic regulation and control system, the emergency navigation module receives an emergency navigation path provided by the central control module, a user is navigated according to the emergency navigation path, navigation information is sent to the user terminal and the traffic police terminal in real time, so that the traffic police synchronously observes the running state and the position of the current user, and real-time positioning of the user is realized.
Furthermore, the user terminal and the traffic police terminal are also provided with a query and display unit, and the query and display unit is connected with the emergency navigation module and the crossroad control unit; the system is used for displaying emergency navigation information; and acquiring and displaying the real-time traffic light state of the required crossing and the congestion degree of the road section according to the query request initiated by the user or the traffic police, and displaying the optimal path real-time navigation information.
Furthermore, the crossroad control unit is provided with an adjustment mode unit, and the adjustment mode unit is connected with the traffic police terminal and is used for manually setting according to requirements or automatically adjusting the state of the corresponding crossroad traffic light through a preset adjustment program.
Due to the adoption of the technical scheme, the invention has the following beneficial effects:
(1) The traffic flow information and the traffic light state information of each intersection are obtained in real time, the congestion degree of each road section in the intelligent traffic control system deployment area is calculated in real time based on preset rules and the traffic flow information, and the priority among each road section is set according to the congestion degree. According to the priority and the state information of the traffic lights of all the crossroads, the state regulation of the traffic lights of all the crossroads in the deployment area of the intelligent traffic regulation system is realized, the traffic efficiency is improved, the traffic time in the peak period is saved, and the rationality of urban traffic planning is improved.
(2) Aiming at the emergency navigation requirement, the invention extracts the departure place and the destination from the emergency navigation request; taking the priority as a parameter, planning an optimal navigation path matched with a departure place and a destination in a deployment area of the intelligent traffic control system; and the traffic light systems in the crossroads through which the optimal navigation paths pass are all adjusted to be in a green light state, and the optimal navigation paths are issued to the user terminal, so that the user can correspondingly reach the required destination rapidly, the running time of the user is shortened, and the user experience is correspondingly improved.
Drawings
FIG. 1 is a flow chart of the intelligent traffic control method of the present invention;
FIG. 2 is a block diagram of the intelligent traffic control system according to the present invention.
Description of the embodiments
The technical scheme of the invention is described in detail below with reference to the accompanying drawings and examples.
Examples
As shown in fig. 1, the intelligent traffic control method provided in this embodiment specifically applies to urban traffic jams, such as early and late peak periods, and situations where a vehicle needs to be emergency, specifically, for example, emergency situations where passengers in the vehicle suddenly attack, need to seek medical attention in time, or emergency situations where the vehicle suddenly fails, but can also travel, and emergency situations where a vehicle needs to go to a maintenance site, etc. The method comprises the following steps:
Step 1, acquiring traffic flow information in an intelligent traffic control system deployment area and traffic light state information of each crossroad in real time; the intelligent traffic control system deployment area comprises a plurality of crossroads and a plurality of road sections connected with the crossroads;
And 2, calculating the congestion degree of each road section in the deployment area of the intelligent traffic control system in real time based on preset rules and traffic flow information, and setting the priority among each road section according to the congestion degree. The traffic flow information refers to the number of real-time traffic flows over a fixed time, a fixed length, and a speed limit. Therefore, based on the obtained real-time traffic flow information, the congestion degree corresponding to each road segment can be calculated in real time according to the preset rule. The present embodiment sets the congestion degree to three states, i.e., no congestion, light congestion, and heavy congestion.
In this embodiment, taking the collection of the real-time vehicle circulation quantity generated in the section a within 30 seconds as an example, the step of calculating the congestion degree of the section is described in detail:
And (3) assuming that the length of the section A is 200m, the speed limit is 50km/h, dividing the current speed limit value and the length, and calculating the vehicle circulation coefficient of the section A. For example, the obtained circulation coefficient may be "0.25", and the required theoretical vehicle circulation number is calculated according to the vehicle circulation coefficient and the real-time vehicle circulation number generated by the section a within 30 seconds. Specifically, for example, the real-time vehicle circulation number generated in the section a within 30 seconds is obtained to be "20", the calculated theoretical vehicle circulation number is "5", the difference between the calculated real-time vehicle circulation number and the theoretical vehicle circulation number is "15", and whether the target difference is greater than a preset difference threshold is determined in real time. Assuming that the preset difference threshold may be "0-10", if it is determined that the current target difference is greater than the preset difference threshold, it can be directly determined that the current road segment is in a congestion state, and the road segment is set as a low-priority road segment. Correspondingly, if the current target difference value is judged to be within the range of the preset difference value threshold value, the road section is set to be a high-priority road section.
Step 3, after obtaining the congestion degree of each road section, judging the priority among the road sections, wherein the priority is in three levels of high, medium and low, the high priority refers to the current road section in a non-congestion state, the medium priority refers to the current road section in a light congestion state, and the low priority refers to the current road section in a heavy congestion state;
When the number of low priorities in the deployment area of the intelligent traffic control system is larger than a preset threshold, the priorities are sent to the traffic police terminals, and the traffic police terminals regulate and control the states of the traffic lights of the crossroads in the deployment area of the intelligent traffic control system based on the state information and the priorities of the traffic lights of the crossroads, so that reasonable planning of urban traffic is realized, and the traffic efficiency is improved.
When receiving the emergency navigation request, processing the emergency navigation request, and extracting a departure place and a destination; taking the priority as a parameter, planning an optimal navigation path matched with a departure place and a destination in a deployment area of the intelligent traffic control system; and adjusting traffic light systems in the crossroads through which the optimal navigation paths pass to be in a green light state, and transmitting the optimal navigation paths to the user terminal.
In this embodiment, with priority as a parameter, an optimal navigation path adapted to a departure place and a destination is planned in a deployment area of an intelligent traffic control system, and the method includes the steps of:
Constructing an auxiliary line for connecting a departure place and a destination in a deployment area of the intelligent traffic control system, and dividing a corresponding target area by taking the destination as a circle center and the auxiliary line as a radius;
Generating corresponding road segment ranks by taking priority as a parameter in the target area, and extracting a plurality of target road segments meeting the requirement from a departure place to a destination according to the ranking order from the road segment ranks;
And (3) sequentially performing splicing processing on a plurality of target road sections from the departure place, so that the optimal navigation path can be correspondingly generated.
The following processing is further performed before the splicing processing is performed on the multiple road sections, so as to further improve the rationality of the optimal navigation path:
For each road section, according to the coordinates of two endpoints of each road section, the shortest distance between the road section and the auxiliary line is obtained;
And (3) from the departure place, sequentially performing splicing processing on a plurality of target road segments according to the obtained shortest distance between each road segment and the auxiliary line, and correspondingly generating the optimal navigation path.
It should be noted that, the intelligent traffic system regulation and control method of the embodiment is implemented based on the cloud server arranged at the background, and the traffic flow information of each road section and the traffic light state information of each cross road in the deployment area can be directly obtained from the cloud server in real time, so that errors caused by inaccuracy of data are avoided; the coordinates of the two end points of each road section and the points on the auxiliary line can be obtained by the existing acquisition equipment. Secondly, in the actual application process, when the cloud server receives an emergency request sent by a user through an APP arranged in a user terminal in real time, the current emergency request is immediately analyzed, so that the departure place of the current user and the destination to which the current user needs to go are correspondingly detected.
Examples
As shown in fig. 2, the present embodiment further provides an intelligent traffic control system, including:
The data acquisition module is connected with the connection data processing module and used for acquiring traffic flow information in the intelligent traffic control system deployment area in real time; the intelligent traffic control system deployment area comprises a plurality of crossroads and a plurality of road sections connected with the crossroads.
The data processing module is connected with the central control module; based on preset rules and traffic flow information, calculating the congestion degree of each road section in the target area map in real time; and setting the priority among each path segment according to the congestion degree. The priority levels are high, medium and low, wherein the high priority level refers to the current road section in a non-congestion state, the medium priority level refers to the current road section in a light congestion state, and the low priority level refers to the current road section in a heavy congestion state;
When an emergency navigation request sent by a traffic police terminal is received, the emergency navigation request is processed, and a departure place and a destination are extracted; and taking the priority as a parameter, planning an optimal navigation path matched with the departure place and the destination in the deployment area of the intelligent traffic control system as an emergency navigation path.
The central control module is connected with the traffic police terminal and used for sending the priority to the traffic police terminal when the number of the low priority in the deployment area of the intelligent traffic control system is larger than a preset threshold value; and when the emergency navigation path is received, sending the emergency navigation path to the traffic police terminal.
The crossroad control unit is interconnected with the traffic police terminal and is used for driving the crossroad traffic lights to adjust the states and sending real-time state information of the traffic lights to the traffic police terminal;
The traffic police terminal and the user terminal form an interactive display module together, and the interactive display module is specific:
The traffic police terminal is connected with the crossroad control unit, generates a first regulation and control instruction based on the current state information of each crossroad traffic light and the received priority, and sends the first regulation and control instruction to the crossroad control unit so as to control the state adjustment of the corresponding crossroad red and green light, improve the traffic efficiency and ensure smooth traffic; and receiving or rejecting an emergency navigation request initiated by a user according to actual conditions, when receiving the emergency navigation request sent by the user terminal, sending the emergency navigation request to a data processing module, acquiring an emergency navigation path, generating a second regulation and control instruction according to the emergency navigation path, sending the second regulation and control instruction to an intersection control unit, controlling traffic light states in intersections through which the optimal navigation path passes to be all adjusted to be green light states, and sending the optimal navigation path to the user terminal.
In this embodiment, the modules are in communication connection, and real-time traffic flow information of each road section is collected by using an ultrasonic sensor.
In order to prevent accidents, the user is ensured to smoothly reach the destination. The intelligent traffic regulation and control system is characterized in that an emergency navigation module is further arranged in the intelligent traffic regulation and control system, the emergency navigation module receives an emergency navigation path provided by the central control module, a user is navigated according to the emergency navigation path, navigation information is sent to the user terminal and the traffic police terminal in real time, so that the traffic police synchronously observes the running state and the position of the current user, and real-time positioning of the user is realized.
In order to improve user experience, the embodiment is also provided with a query and display unit in a user terminal and a traffic police terminal of the intelligent traffic control system, wherein the query and display unit is respectively connected with an emergency navigation module, an intersection control unit and a cloud server; the system is used for displaying emergency navigation information; and acquiring and displaying the real-time traffic light state of the required crossing and the congestion degree of the road section according to the query request initiated by the user or the traffic police, and displaying the optimal path real-time navigation information.
Furthermore, the crossroad control unit is provided with an adjustment mode unit, and the adjustment mode unit is connected with the traffic police terminal and is used for manually setting according to requirements or automatically adjusting the state of the corresponding crossroad traffic light through a preset adjustment program.
In summary, the traffic system regulation and control method and system provided by the embodiment of the invention can reasonably plan urban traffic and effectively improve traffic efficiency. Aiming at emergency, the optimal navigation path can be issued to the user terminal of the user, so that the user can quickly reach a required destination, the running time of the user is shortened, and the user experience is improved. The state regulation of the traffic lights can be manually operated or regulated according to a preset program according to requirements, and the traffic lights are suitable for various traffic states.
The above-described respective modules may be functional modules or program modules, and may be implemented by software or hardware. For modules implemented in hardware, the various modules described above may be located in the same processor; or the above modules may be located in different processors in any combination.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.
It is to be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (8)
1. An intelligent traffic control method is characterized by comprising the following steps:
Acquiring traffic flow information and traffic light state information of each crossroad in an intelligent traffic control system deployment area in real time; the intelligent traffic control system deployment area comprises a plurality of crossroads and a plurality of road sections connected with the crossroads;
Based on preset rules and traffic flow information, calculating the congestion degree of each road section in the deployment area of the intelligent traffic control system in real time, and setting the priority among each road section according to the congestion degree; the priority levels are high, medium and low, wherein the high priority level refers to the current road section in a non-congestion state, the medium priority level refers to the current road section in a light congestion state, and the low priority level refers to the current road section in a heavy congestion state;
when the number of low priorities in the deployment area of the intelligent traffic control system is larger than a preset threshold, the priorities are sent to the traffic police terminals, and the traffic police terminals regulate and control the states of the traffic lights of all the crossroads in the deployment area of the intelligent traffic control system based on the state information and the priorities of the traffic lights of all the crossroads so as to improve traffic efficiency;
When receiving the emergency navigation request, processing the emergency navigation request, and extracting a departure place and a destination; taking the priority as a parameter, planning an optimal navigation path matched with a departure place and a destination in a deployment area of the intelligent traffic control system; the generation method of the optimal navigation path comprises the following steps:
Constructing an auxiliary line for connecting a departure place and a destination in a deployment area of the intelligent traffic control system, and dividing a corresponding target area by taking the destination as a circle center and the auxiliary line as a radius; generating corresponding road segment ranks by taking priority as a parameter in the target area, and extracting a plurality of target road segments meeting the requirement from a departure place to a destination according to the ranking order from the road segment ranks; sequentially splicing a plurality of target road sections from a departure place to correspondingly generate an optimal navigation path;
And adjusting traffic light systems in the crossroads through which the optimal navigation paths pass to be in a green light state, and transmitting the optimal navigation paths to the user terminal.
2. The intelligent traffic control method according to claim 1, wherein the step of calculating the congestion degree of each road section in the deployment area of the intelligent traffic control system in real time based on the preset rule and the traffic flow information comprises the steps of:
Respectively counting the real-time vehicle circulation quantity, the corresponding speed limit value and the length of each road section passing through within a preset time threshold;
And respectively calculating the congestion degree corresponding to each road section according to the real-time vehicle circulation quantity, the speed limit value and the length.
3. The intelligent traffic control method according to claim 2, wherein the step of calculating the congestion degree corresponding to each road segment according to the real-time vehicle circulation quantity, the speed limit value and the length comprises the steps of:
Calculating a vehicle circulation coefficient corresponding to each road section according to the speed limit value and the length, and calculating a theoretical vehicle circulation quantity corresponding to each road section according to the vehicle circulation coefficient and the real-time vehicle circulation quantity;
judging whether a target difference value between the real-time vehicle circulation quantity and the theoretical vehicle circulation quantity of each road section is within a preset difference value threshold value or not in real time;
if the target difference value between the real-time vehicle circulation quantity and the theoretical vehicle circulation quantity of each road section is judged to be within the preset difference value threshold value in real time, the road section is judged to be not congested at present, and the vehicle circulation coefficient is unique.
4. An intelligent traffic control system, comprising:
The data acquisition module is connected with the data processing module; the intelligent traffic control system deployment method comprises the steps of acquiring traffic flow information in an intelligent traffic control system deployment area in real time; the intelligent traffic control system deployment area comprises a plurality of crossroads and a plurality of road sections connected with the crossroads;
The data processing module is connected with the central control module; based on preset rules and traffic flow information, calculating the congestion degree of each road section in the target area map in real time; setting the priority among each path segment according to the congestion degree; the priority levels are high, medium and low, wherein the high priority level refers to the current road section in a non-congestion state, the medium priority level refers to the current road section in a light congestion state, and the low priority level refers to the current road section in a heavy congestion state;
When an emergency navigation request sent by a traffic police terminal is received, the emergency navigation request is processed, and a departure place and a destination are extracted; taking the priority as a parameter, planning an optimal navigation path matched with a departure place and a destination in a deployment area of the intelligent traffic control system as an emergency navigation path; the optimal navigation path is generated according to the following method: constructing an auxiliary line for connecting a departure place and a destination in a deployment area of the intelligent traffic control system, and dividing a corresponding target area by taking the destination as a circle center and the auxiliary line as a radius; generating corresponding road segment ranks by taking priority as a parameter in the target area, and extracting a plurality of target road segments meeting the requirement from a departure place to a destination according to the ranking order from the road segment ranks; sequentially splicing a plurality of target road sections from a departure place to correspondingly generate an optimal navigation path;
the central control module is connected with the traffic police terminal and used for sending the priority to the traffic police terminal when the number of the low priority in the deployment area of the intelligent traffic control system is larger than a preset threshold; when the emergency navigation path is received, the emergency navigation path is sent to the traffic terminal;
the crossroad control unit is interconnected with the traffic police terminal and is used for driving the crossroad traffic lights to adjust the states and sending real-time state information of the traffic lights to the traffic police terminal;
The traffic police terminal and the user terminal form an interactive display module together, and the interactive display module is specific:
The traffic police terminal is connected with the crossroad control unit, generates a first regulation and control instruction based on the current state information of each crossroad traffic light and the received priority, and sends the first regulation and control instruction to the crossroad control unit so as to control the state adjustment of the corresponding crossroad red and green light, improve the traffic efficiency and ensure smooth traffic; and receiving or rejecting an emergency navigation request initiated by a user according to actual conditions, when receiving the emergency navigation request sent by the user terminal, sending the emergency navigation request to a data processing module, acquiring an emergency navigation path, generating a second regulation and control instruction according to the emergency navigation path, sending the second regulation and control instruction to an intersection control unit, controlling traffic light states in intersections through which the optimal navigation path passes to be all adjusted to be green light states, and sending the optimal navigation path to the user terminal.
5. The intelligent traffic control system according to claim 4, wherein: and each module of the intelligent traffic control system is in communication connection.
6. The intelligent traffic control system according to claim 4, wherein: the intelligent traffic regulation and control system is characterized in that an emergency navigation module is further arranged in the intelligent traffic regulation and control system, the emergency navigation module receives an emergency navigation path provided by the central control module, a user is navigated according to the emergency navigation path, navigation information is sent to the user terminal and the traffic police terminal in real time, so that the traffic police synchronously observes the running state and the position of the current user, and real-time positioning of the user is realized.
7. The intelligent traffic control system according to claim 4, wherein: the user terminal and the traffic police terminal are also provided with a query and display unit, and the query and display unit is connected with the emergency navigation module and the crossroad control unit; the system is used for displaying emergency navigation information; and acquiring and displaying the real-time traffic light state of the required crossing and the congestion degree of the road section according to the query request initiated by the user or the traffic police, and displaying the optimal path real-time navigation information.
8. The intelligent traffic control system according to claim 5, wherein: the crossroad control unit is provided with an adjustment mode unit which is connected with the traffic police terminal and is used for setting the state of the corresponding crossroad traffic light manually or automatically through a preset adjustment program according to the requirements.
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| CN202410235642.3A CN117809460B (en) | 2024-03-01 | 2024-03-01 | Intelligent traffic regulation and control method and system |
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