Traffic signal control method and system based on traffic signal controller

Abstract

The invention discloses a traffic signal control method and system based on a traffic signal controller. The method comprises the following steps: collecting multi-dimensional traffic data of a target road; calculating a traffic stability index used for representing the traffic stability degree of the target road according to the multi-dimensional traffic data; based on the multi-dimensional traffic data and the corresponding traffic stability index, determining the passing duration of a traffic signal lamp corresponding to the target road; and sending the passing duration to a traffic signal controller used for controlling the traffic signal of the target road so as to control the traffic signal lamp. By utilizing the embodiment of the invention, the traffic condition of the target road can be more comprehensively reflected, and the passing time of the signal lamp is dynamically adjusted according to the change of the traffic flow, so that the efficiency and the flexibility of signal control are improved, and positive contributions can be made for relieving urban traffic congestion, reducing emission and improving public travel safety and comfort.

Description

Technical Field

[0001] The invention belongs to the field of traffic technology, and in particular to a traffic signal control method and system based on a traffic signal machine. Background Art

[0002] In modern urban traffic management, traffic lights, as important facilities for controlling road traffic flow, play a vital role. With the acceleration of urbanization, traffic flow is increasing, and the difficulty and complexity of traffic management at intersections are also increasing. Traditional traffic signal control methods mostly rely on fixed signal cycles, lack flexibility and real-time performance, and often lead to congestion during peak hours, and signal waste during low-flow periods. This static signal control method cannot effectively respond to the dynamic changes in traffic demand, resulting in reduced traffic efficiency, increased travel time, and increased environmental pollution, which in turn affects traffic safety. Summary of the invention

[0003] The purpose of the present invention is to provide a traffic signal control method and system based on traffic signal machines to address the deficiencies in the prior art, to more comprehensively reflect the traffic conditions of the target road, and to dynamically adjust the passage time of the traffic lights according to changes in traffic flow, thereby improving the efficiency and flexibility of signal control, and to make positive contributions to alleviating urban traffic congestion, reducing emissions, and improving public travel safety and comfort.

[0004] An embodiment of the present application provides a traffic signal control method based on a traffic signal machine, the method comprising: Collect multi-dimensional traffic data of target roads; Calculating a traffic stability index for characterizing the degree of traffic stability of the target road according to the multi-dimensional traffic data; Determining the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; The passing time is sent to a traffic signal machine used for controlling a traffic signal on the target road, so as to control the traffic signal light.

[0005] Optionally, the calculation formula of the traffic stability index is:

[0006] Among them, the is the traffic stability index, is the average speed of vehicles on the target road, is the average travel time of vehicles passing through the target road, F is the vehicle flow passing through the target road per unit time, D is the vehicle flow density of the target road, S is the traffic flow fluctuation index, C is the traffic interference factor, and B is the average congestion time of vehicles passing through the target road.

[0007] Optionally, the traffic flow fluctuation index is: Among them, the is the speed of the i-th vehicle, and N is the number of vehicles on the target road during the collection period.

[0008] Optionally, the traffic interference factor is: Among them, the is the impact degree of the jth interference event occurring on the target road and takes the value [0,1]. is the weight value of the jth interference event, and M is the number of interference events during the collection period.

[0009] Optionally, determining the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index includes: If the traffic stability index is less than a preset threshold, determining that the passing time of the traffic light corresponding to the target road is a preset maximum time; Otherwise, the passing time of the traffic light is calculated based on the multi-dimensional traffic data.

[0010] Optionally, the calculating the passing time of the traffic light based on the multi-dimensional traffic data includes: The traffic volume, traffic density and average queue waiting time in the multi-dimensional traffic data are obtained to calculate the passing time of the traffic light: Among them, the is the average waiting time in queue, and k is the adjustment factor.

[0011] Another embodiment of the present application provides a traffic signal control system based on a traffic signal machine, the system comprising: A collection module, used to collect multi-dimensional traffic data of target roads; A calculation module, used for calculating a traffic stability index for characterizing the traffic stability degree of the target road according to the multi-dimensional traffic data; A determination module, configured to determine the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; A control module is used to send the passing time to a traffic signal machine used to control the traffic signal of the target road, so as to control the traffic signal light.

[0012] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0013] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0014] Compared with the prior art, the present invention provides a traffic signal control method based on a traffic signal, which collects multi-dimensional traffic data of a target road; calculates a traffic stability index for characterizing the degree of traffic stability of the target road based on the multi-dimensional traffic data; determines the passing time of a traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; sends the passing time to a traffic signal for controlling the traffic signal of the target road to control the traffic light, thereby being able to more comprehensively reflect the traffic conditions of the target road, and dynamically adjust the passing time of the traffic light according to changes in traffic flow, thereby improving the efficiency and flexibility of signal control, and also making positive contributions to alleviating urban traffic congestion, reducing emissions, and improving public travel safety and comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A hardware structure block diagram of a computer terminal for a traffic signal control method based on a traffic signal provided by an embodiment of the present invention; Figure 2 A flow chart of a traffic signal control method based on a traffic signal provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a traffic signal control system based on a traffic signal provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0016] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0017] The embodiment of the present invention firstly provides a traffic signal control method based on a traffic signal machine, and the method can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0018] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal of a traffic signal control method based on a traffic signal provided by an embodiment of the present invention. Figure 1As shown, the computer device includes a processor, a memory, and a network interface connected via a system bus, wherein the memory may include a non-volatile storage medium and an internal memory.

[0019] The non-volatile storage medium can store an operating system and a computer program. The computer program includes program instructions, and when the program instructions are executed, the processor can execute any traffic signal control method based on a traffic signal.

[0020] The processor is used to provide computing and control capabilities and support the operation of the entire computer equipment.

[0021] The internal memory provides an environment for the operation of the computer program in the non-volatile storage medium. When the computer program is executed by the processor, the processor can execute any traffic signal control method based on the traffic signal.

[0022] The network interface is used for network communication, such as sending assigned tasks, etc. Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0023] It should be understood that the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Among them, the general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0024] See also Figure 2 The embodiment of the present invention provides a traffic signal control method based on a traffic signal machine, which may include the following steps: S201, collecting multi-dimensional traffic data of a target road; This step involves using various sensors and monitoring equipment, including road sensors, high-definition cameras, laser speedometers, etc., to collect multi-dimensional data related to traffic flow in real time. These data include but are not limited to vehicle speed, flow, traffic density, location, and queue time. In addition, data collection equipment should be able to capture environmental factors such as weather conditions, road conditions, and events that may affect traffic flow (such as traffic accidents, construction, etc.). By integrating and processing these multi-dimensional data, a solid data foundation can be provided for the subsequent calculation of the traffic stability index.

[0025] The significance of collecting multi-dimensional traffic data of the target road is that it provides a scientific basis for realizing intelligent traffic signal control. By analyzing multi-dimensional data, the traffic management system can accurately assess the current traffic conditions and potential traffic problems, and then realize dynamic and real-time signal control. Specifically, these data can help traffic managers to timely identify fluctuations and unstable factors in traffic flow, predict possible congestion and delays, and adjust the duration of traffic lights accordingly, thereby improving road traffic efficiency and safety, reducing driving time and exhaust emissions, and optimizing overall traffic flow.

[0026] The specific method for implementing this step can include deploying various types of sensors and monitoring equipment at key locations on the target road. For example, road sensors can be installed under the lanes to monitor the number and speed of passing vehicles in real time; high-definition cameras can provide real-time video monitoring, support image recognition and data analysis, and help identify pedestrians, cyclists, and traffic accidents. In addition, combined with the Internet of Things technology, these sensors and cameras will form an interconnected network, so that data can be quickly transmitted to the traffic management platform via wireless networks for centralized processing and analysis. At the same time, the system should have a certain self-learning ability, be able to adjust according to historical data and real-time data, and optimize data collection and analysis strategies to adapt to different traffic flow patterns and environmental conditions.

[0027] S202, calculating a traffic stability index for characterizing the degree of traffic stability of the target road according to the multi-dimensional traffic data; In this step, based on the collected multi-dimensional traffic data, the process of calculating the Traffic Stability Index (TSI) aims to objectively evaluate the traffic flow status of the target road. By analyzing the average speed of vehicles on the road, vehicle flow per unit time, traffic density, traffic flow fluctuations, and interference factors, the traffic stability index can accurately reflect the degree of traffic stability of the road in a specific time period. This index not only reflects the stability of the current traffic situation, but also provides an important basis for the subsequent adjustment of the travel time of traffic lights, ensuring the intelligence and dynamic control of signal control, thereby effectively improving the traffic efficiency and safety of the road.

[0028] The significance of calculating the traffic stability index is that it provides a scientific basis for decision-making for traffic management departments, helping to monitor and analyze the stability of traffic flow in real time. Through the changes in this index, the traffic management system can quickly identify fluctuations and abnormal conditions in traffic flow and take corresponding measures in a timely manner, such as adjusting the duration of traffic lights to alleviate possible congestion and delays. This dynamic response based on real-time data not only improves the efficiency of traffic flow, but also enhances the overall resilience of the transportation system, helping to achieve safer, more efficient and sustainable traffic management.

[0029] Specifically, a calculation formula for the traffic stability index can be:

[0030] Among them, the is the traffic stability index, is the average speed of vehicles on the target road. This parameter reflects the driving efficiency of the vehicle. The higher the speed, the smoother the flow and the better the stability. It is the average travel time for vehicles to pass through the target road. A shorter travel time means better traffic flow, otherwise it may cause congestion, thus affecting stability. F is the vehicle flow rate passing through the target road per unit time. The flow rate directly affects the traffic density of the road. Excessive flow rate may cause road congestion, thus affecting stability. D is the traffic density of the target road. A higher traffic density usually means that the road is close to saturation, which may affect traffic stability. S is a traffic flow fluctuation index, which is used to reflect changes in traffic flow. If the traffic flow fluctuates greatly, it may cause traffic instability. C is the traffic interference factor, which indicates the impact of external factors on traffic flow, including accidents, construction, etc. The greater the interference, the worse the stability. B is the average congestion time of vehicles passing through the target road. As a denominator, it helps to standardize the degree of influence of other parameters. Longer congestion time will reduce the stability index.

[0031] Specifically, a traffic flow fluctuation index may be: This formula quantifies the fluctuation of traffic flow by calculating the deviation of vehicle speed. is the speed of the i-th vehicle, and N is the number of vehicles on the target road during the collection period. Through this formula, the volatility of traffic flow can be effectively captured, thereby providing support for the calculation of the traffic stability index and ensuring the scientificity and effectiveness of signal control decisions.

[0032] Specifically, a traffic interference factor may be: This formula is used to quantify the impact of various interference events on traffic flow. The higher the value of the traffic interference factor, the greater the interference to the traffic flow, which may reduce the stability of the traffic. is the impact degree of the jth interference event occurring on the target road and takes the value [0,1]. The higher the impact degree, the more significant the impact of the interference event on the traffic flow. is the weight value of the jth interference event, which is used to describe the relative importance of the interference event. By assigning different weights to different interference events, the overall impact of each interference factor on traffic flow can be more accurately reflected. M is the number of interference events during the collection period.

[0033] By comprehensively considering the impact degree and weight of different interference events, the interference factor can effectively capture the impact of external factors on traffic flow, provide an important basis for the calculation of the traffic stability index, and ensure the rationality and effectiveness of the signal control strategy.

[0034] S203, determining the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; Specifically, the system will monitor and collect traffic flow data on the target road in real time, including vehicle speed, flow, density, travel time, etc., and combine the calculated traffic stability index (TSI) to evaluate the stability of the current traffic conditions. When the traffic stability index reflects the congestion or instability of the road, the system can adjust the traffic light duration accordingly to alleviate traffic pressure to the greatest extent and improve traffic efficiency.

[0035] By using dynamic calculation and real-time analysis to optimize the control strategy of traffic lights, the overall efficiency and safety of traffic flow can be effectively improved. By combining the traffic stability index with multi-dimensional traffic data, it is possible to quickly respond to changes in traffic flow and adjust the duration of traffic lights in a timely manner, thereby avoiding traffic congestion and maximizing road use efficiency. This intelligent signal control method not only helps reduce the occurrence of traffic accidents, but also improves the traffic capacity of urban roads and provides drivers with a smoother driving experience.

[0036] Specifically, if the traffic stability index is less than a preset threshold, determining that the passing time of the traffic light corresponding to the target road is a preset maximum time; In this step, the system first evaluates the calculated Traffic Stability Index (TSI). If the index is lower than the preset threshold, it means that the target road is at risk of traffic congestion. At this time, the signal control system will automatically set the traffic light duration of the road to a pre-set maximum duration. This pre-set maximum duration is designed to quickly respond to traffic congestion and ensure that as many vehicles as possible can pass within a period of time, thereby reducing congestion.

[0037] The design principle of this step is to enhance the system's ability to respond to sudden traffic flow situations by adjusting the signal control strategy in a targeted manner. Predicting the traffic light's travel time as the maximum time will help to timely guide vehicles when traffic flow is unstable and reduce delays caused by traffic congestion, thereby effectively improving the operating efficiency of the entire road network and having important significance for improving the road traffic environment.

[0038] Otherwise, the passing time of the traffic light is calculated based on the multi-dimensional traffic data.

[0039] If the traffic stability index is higher than the preset threshold, indicating that the current road traffic conditions are good, the signal control system will use multi-dimensional traffic data to calculate the travel time more accurately. This calculation will take into account factors such as vehicle flow, traffic density, and average queue waiting time, so as to flexibly adjust the traffic light's travel time according to the actual traffic conditions and make traffic flow smoother.

[0040] The implementation of this step makes the traffic light control no longer rely solely on fixed time settings, but can be dynamically adjusted according to the real-time traffic conditions collected. This intelligent signal control method can significantly improve traffic efficiency, reduce vehicle waiting time, improve traffic conditions at intersections, and also help improve driver satisfaction, ultimately achieving a more scientific traffic management effect.

[0041] Specifically, based on the multi-dimensional traffic data, the passing time of the traffic light is calculated. The vehicle flow, vehicle flow density and average queue waiting time in the multi-dimensional traffic data may be obtained to calculate the passing time of the traffic light as:

[0042] The design of this formula flexibly calculates the duration of traffic lights by comprehensively considering vehicle flow, vehicle density and queue status, ensuring smooth and safe traffic flow, and can be dynamically adjusted according to actual conditions, thereby achieving more efficient traffic signal control.

[0043] Among them, the is the average waiting time in queue, and k is an adjustment factor used to modify the calculation result to adapt to the characteristics of different roads, time periods and traffic conditions. By adjusting this factor, flexible management of the travel time can be achieved.

[0044] In this step, the system extracts key traffic indicators from the continuously collected multi-dimensional traffic data, including the vehicle flow rate and traffic density of the target road per unit time, as well as the average waiting time of vehicles in front of the traffic lights. These data provide the basis for the subsequent calculation of the traffic light passing time, ensuring that accurate judgments can be made under actual traffic conditions.

[0045] By accurately acquiring these multi-dimensional traffic data, the system can have a comprehensive understanding of the actual traffic conditions, enabling signal control to make real-time decisions based on real traffic flow rather than theoretical data. This data-driven signal control method can greatly improve the response speed and flexibility of traffic lights, thereby improving the road's capacity and safety, and effectively alleviating traffic pressure.

[0046] S204: Send the passing time to a traffic signal machine for controlling a traffic signal on the target road to control the traffic signal light.

[0047] In step 1, the passing time refers to the passing time of the traffic light calculated according to the previous step. This step involves sending the calculated passing time information directly to the traffic signal machine of the target road to control the traffic light. Specifically, the traffic signal control system will generate a message containing the passing time and transmit the message to the traffic signal machine through a reliable communication protocol (for example, wired or wireless transmission). After receiving the information, the signal machine will immediately adjust the switching time of the signal light according to the new passing time to respond to the real-time traffic conditions of the road section.

[0048] The significance of implementing this step is to ensure that traffic lights can adapt to changing traffic flows in real time and optimize traffic efficiency. By directly sending the dynamically calculated passing time to the signal machine, the waiting time of vehicles can be effectively reduced, traffic congestion can be reduced, and the traffic capacity and overall traffic flow of the intersection can be improved. In addition, timely adjustments can also improve driving safety, reduce traffic accidents caused by traffic lights not matching traffic flows, and overall improve the intelligent level of urban traffic management and the public travel experience.

[0049] In the specific implementation process, the traffic signal control system will package the calculated passing time to form a message data packet containing key information, including the new passing time and instruction identification. The system then sends the message to the target traffic signal through a preset communication interface (such as Ethernet, 4G / 5G LTE, etc.). After receiving the data, the internal control module of the signal will directly parse the message, extract the new passing time, and immediately apply it to the signal light logic control to adjust the light cycle of the corresponding signal light. This process is instant and does not require additional judgment, ensuring that the signal light can respond in time and reflect the current traffic flow situation to achieve the purpose of optimizing traffic management.

[0050] It can be seen that multi-dimensional traffic data of the target road is collected; based on the multi-dimensional traffic data, a traffic stability index used to characterize the traffic stability degree of the target road is calculated; based on the multi-dimensional traffic data and the corresponding traffic stability index, the passing time of the traffic light corresponding to the target road is determined; the passing time is sent to the traffic signal machine used to control the traffic signal of the target road to control the traffic light, so as to more comprehensively reflect the traffic conditions of the target road, and dynamically adjust the passing time of the traffic light according to the changes in traffic flow, so as to improve the efficiency and flexibility of signal control, and can also make positive contributions to alleviating urban traffic congestion, reducing emissions, and improving public travel safety and comfort.

[0051] Another embodiment of the present invention provides a traffic signal control system based on a traffic signal machine, see Figure 3 , the system may include: A collection module 301 is used to collect multi-dimensional traffic data of a target road; A calculation module 302, configured to calculate a traffic stability index for characterizing the degree of traffic stability of the target road according to the multi-dimensional traffic data; A determination module 303, configured to determine the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; The control module 304 is used to send the passing time to a traffic signal machine used to control the traffic signal of the target road, so as to control the traffic signal light.

[0052] It can be seen that multi-dimensional traffic data of the target road is collected; based on the multi-dimensional traffic data, a traffic stability index used to characterize the traffic stability degree of the target road is calculated; based on the multi-dimensional traffic data and the corresponding traffic stability index, the passing time of the traffic light corresponding to the target road is determined; the passing time is sent to the traffic signal machine used to control the traffic signal of the target road to control the traffic light, so as to more comprehensively reflect the traffic conditions of the target road, and dynamically adjust the passing time of the traffic light according to the changes in traffic flow, so as to improve the efficiency and flexibility of signal control, and can also make positive contributions to alleviating urban traffic congestion, reducing emissions, and improving public travel safety and comfort.

[0053] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0054] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps: S201, collecting multi-dimensional traffic data of a target road; S202, calculating a traffic stability index for characterizing the degree of traffic stability of the target road according to the multi-dimensional traffic data; S203, determining the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; S204: Send the passing time to a traffic signal machine for controlling a traffic signal on the target road to control the traffic signal light.

[0055] It can be seen that multi-dimensional traffic data of the target road is collected; based on the multi-dimensional traffic data, a traffic stability index used to characterize the traffic stability degree of the target road is calculated; based on the multi-dimensional traffic data and the corresponding traffic stability index, the passing time of the traffic light corresponding to the target road is determined; the passing time is sent to the traffic signal machine used to control the traffic signal of the target road to control the traffic light, so as to more comprehensively reflect the traffic conditions of the target road, and dynamically adjust the passing time of the traffic light according to the changes in traffic flow, so as to improve the efficiency and flexibility of signal control, and can also make positive contributions to alleviating urban traffic congestion, reducing emissions, and improving public travel safety and comfort.

[0056] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0057] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0058] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program: S201, collecting multi-dimensional traffic data of a target road; S202, calculating a traffic stability index for characterizing the degree of traffic stability of the target road according to the multi-dimensional traffic data; S203, determining the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; S204: Send the passing time to a traffic signal machine for controlling a traffic signal on the target road to control the traffic signal light.

[0059] It can be seen that multi-dimensional traffic data of the target road is collected; based on the multi-dimensional traffic data, a traffic stability index used to characterize the traffic stability degree of the target road is calculated; based on the multi-dimensional traffic data and the corresponding traffic stability index, the passing time of the traffic light corresponding to the target road is determined; the passing time is sent to the traffic signal machine used to control the traffic signal of the target road to control the traffic light, so as to more comprehensively reflect the traffic conditions of the target road, and dynamically adjust the passing time of the traffic light according to the changes in traffic flow, so as to improve the efficiency and flexibility of signal control, and can also make positive contributions to alleviating urban traffic congestion, reducing emissions, and improving public travel safety and comfort.

[0060] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. A traffic signal control method based on a traffic signal machine, characterized in that: The method comprises: Collect multi-dimensional traffic data of target roads; Calculating a traffic stability index for characterizing the degree of traffic stability of the target road according to the multi-dimensional traffic data; Determining the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; The passing time is sent to a traffic signal machine used for controlling a traffic signal on the target road, so as to control the traffic signal light.

2. The method according to claim 1, characterized in that The calculation formula of the traffic stability index is: Among them, the is the traffic stability index, is the average speed of vehicles on the target road, is the average travel time of vehicles passing through the target road, F is the vehicle flow passing through the target road per unit time, D is the vehicle flow density of the target road, S is the traffic flow fluctuation index, C is the traffic interference factor, and B is the average congestion time of vehicles passing through the target road.

3. The method according to claim 2, characterized in that The traffic flow fluctuation index is: Among them, the is the speed of the i-th vehicle, and N is the number of vehicles on the target road during the collection period.

4. The method according to claim 2, characterized in that: The traffic interference factor is: Among them, the is the impact degree of the jth interference event occurring on the target road and takes the value [0,1]. is the weight value of the jth interference event, and M is the number of interference events during the collection period.

5. The method according to claim 3 or 4, characterized in that: The determining, based on the multi-dimensional traffic data and the corresponding traffic stability index, the passing time of the traffic light corresponding to the target road comprises: If the traffic stability index is less than a preset threshold, determining that the passing time of the traffic light corresponding to the target road is a preset maximum time; Otherwise, the passing time of the traffic light is calculated based on the multi-dimensional traffic data.

6. The method according to claim 5, characterized in that The calculating the passing time of the traffic light based on the multi-dimensional traffic data includes: The traffic volume, traffic density and average queue waiting time in the multi-dimensional traffic data are obtained to calculate the passing time of the traffic light: Among them, the is the average waiting time in queue, and k is the adjustment factor.

7. A traffic signal control system based on a traffic signal machine, characterized in that: The system comprises: A collection module, used to collect multi-dimensional traffic data of target roads; A calculation module, used for calculating a traffic stability index for characterizing the traffic stability degree of the target road according to the multi-dimensional traffic data; A determination module, configured to determine the passing time of the traffic light corresponding to the target road based on the multi-dimensional traffic data and the corresponding traffic stability index; A control module is used to send the passing time to a traffic signal machine used to control the traffic signal of the target road, so as to control the traffic signal light.

8. The system according to claim 7, characterized in that The calculation formula of the traffic stability index is: Among them, the is the traffic stability index, is the average speed of vehicles on the target road, is the average travel time of vehicles passing through the target road, F is the vehicle flow passing through the target road per unit time, D is the vehicle flow density of the target road, S is the traffic flow fluctuation index, C is the traffic interference factor, and B is the average congestion time of vehicles passing through the target road.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 6 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 6.

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