Multi-data fusion traffic signal control system and method based on Beidou positioning

Abstract

The invention relates to the technical field of traffic control, and discloses a multi-data fusion traffic signal control system and method based on Beidou positioning, and the system comprises a Beidou positioning terminal which is disposed on a traffic signal lamp; the traffic monitoring equipment is arranged at an intersection provided with a traffic signal lamp; a data fusion module; the intelligent signal control module is used for judging whether the red light duration of the traffic signal lamp is shortened according to the vehicle geographic position information and the geographic position range; the red light duration is adjusted according to the maximum value of the vehicle queuing duration; the intelligent signal control module is also used for adjusting the green light duration of the traffic signal lamp according to the vehicle passing frequency. According to the invention, closed-loop management from data acquisition and fusion to signal control is realized, traffic congestion is relieved, the intelligentization and refinement level of urban traffic operation is improved, and a more convenient and efficient traffic environment is created for citizens to go out.

Description

Technical Field

[0001] This invention relates to the field of traffic control technology, and more specifically, to a multi-data fusion traffic signal control system and method based on BeiDou positioning. Background Technology

[0002] With the rapid advancement of urbanization, the number of motor vehicles in cities has exploded, and traffic congestion has become increasingly severe. Traditional traffic signal control systems have gradually revealed many drawbacks and are unable to meet the needs of modern traffic management.

[0003] Traditional traffic signal control mostly uses fixed timing schemes, pre-setting the cycle length of traffic lights and the green light ratio for each direction. This method cannot dynamically adjust according to real-time traffic flow changes. During peak traffic hours, fixed timing can lead to heavy congestion in some directions while other lanes remain idle and wasted. During off-peak hours, excessively long traffic light cycles cause unnecessary waiting and reduce road efficiency. Furthermore, traditional systems lack the linkage analysis between traffic signals and vehicle location information, making it impossible to optimize the overall traffic flow from a macro perspective.

[0004] Therefore, it is necessary to provide a traffic signal control system and method based on BeiDou positioning to solve the problems of traditional traffic signal control using fixed timing schemes, which cannot be dynamically adjusted according to real-time traffic flow, resulting in vehicle backlog and wasted space in some directions during peak hours, excessively long signal cycles during off-peak hours reducing traffic efficiency, and lack of linkage analysis with vehicle location information, which cannot optimize the overall traffic flow. Summary of the Invention

[0005] In view of this, the present invention proposes a multi-data fusion traffic signal control system and method based on Beidou positioning, which aims to solve the problems of traditional traffic signal control using fixed timing schemes, which cannot be dynamically adjusted according to real-time traffic flow, resulting in vehicle backlog and wasted space in some directions during peak hours, excessively long signal cycles during off-peak hours reducing traffic efficiency, and lack of linkage analysis with vehicle location information, thus failing to optimize the overall traffic flow.

[0006] On the one hand, this invention proposes a multi-data fusion traffic signal control system based on BeiDou positioning, comprising:

[0007] A Beidou positioning terminal is installed on a traffic light. The Beidou positioning terminal is used to obtain real-time vehicle geographical location information and traffic light location information.

[0008] Traffic monitoring equipment is installed at intersections equipped with traffic lights. The traffic monitoring equipment is used to collect lane information, including vehicle queue length, vehicle queue duration, and vehicle passage frequency.

[0009] The data fusion module is used to fuse the vehicle's geographical location information, traffic light location information, and lane information;

[0010] The intelligent signal control module is used to acquire the information fused by the data fusion module, obtain the geographical location range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, determine whether to shorten the red light duration based on the vehicle geographical location information and geographical location range, acquire the vehicle queue length of each vehicle within the preset time period, acquire the maximum vehicle queue length, and adjust the red light duration based on the maximum vehicle queue length.

[0011] The intelligent signal control module is also used to obtain the frequency of vehicle passage within a preset time period, and determine whether to adjust the green light duration of the traffic light based on the frequency of vehicle passage. If it is determined that adjustment is needed, the green light duration of the traffic light is adjusted according to the frequency of vehicle passage.

[0012] Furthermore, the intelligent signal control module is used to acquire the information fused by the data fusion module, and when determining the geographical location range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, it includes:

[0013] The image acquisition device acquires images of vehicles queuing, and the image processing algorithm processes the acquired images of vehicles queuing to identify the length of the vehicle queue.

[0014] The geographical location range is calculated based on the traffic light location information and the vehicle queue length.

[0015] Furthermore, when the intelligent signal control module determines whether to shorten the red light duration of the traffic light based on the vehicle's geographical location information and geographical location range, it includes:

[0016] Obtain the geographical location information of the vehicle furthest from the traffic light in the queue, and mark that vehicle.

[0017] Obtain the duration of occupancy of the marked vehicle within the specified geographic location;

[0018] Based on the stated duration of occupation, determine whether to shorten the red light duration of the traffic signal.

[0019] Furthermore, when the intelligent signal control module determines whether to shorten the red light duration of the traffic light based on the vehicle's geographical location information and geographical location range, it also includes:

[0020] Set a maximum duration for traffic light usage. If the duration of traffic light usage is greater than or equal to the maximum duration for traffic light usage, then determine to shorten the red light duration of the traffic light.

[0021] If the duration of occupation is less than the maximum duration of occupation, it is determined that the red light duration of the traffic signal will not be shortened.

[0022] Furthermore, the intelligent signal control module is used to obtain the queuing time of each vehicle within a preset time period, obtain the maximum queuing time, and adjust the red light duration based on the maximum queuing time, including:

[0023] Calculate the time difference between the maximum vehicle queuing time and the maximum occupancy time;

[0024] A difference range is set. If the duration difference is less than the minimum value of the difference range, the red light duration is adjusted by a first adjustment coefficient.

[0025] If the duration difference is within the difference range, the red light duration is adjusted using the second adjustment coefficient.

[0026] If the duration difference is greater than the maximum value of the difference range, the red light duration is adjusted by a third adjustment coefficient.

[0027] The adjustment coefficient ranges from 1 to 0.5, and the adjusted red light duration is the product of the original red light duration and the adjustment coefficient.

[0028] Furthermore, the intelligent signal control module is also used to obtain the vehicle passing frequency within a preset time period, including:

[0029] Get the total green light duration and the total number of vehicles passing through within a preset time period;

[0030] The vehicle passage frequency is the reciprocal of the ratio of the total green light duration to the total number of vehicle passages;

[0031] Based on the comparison between the vehicle passing frequency and the preset frequency threshold, it is determined whether to adjust the green light duration of the traffic signal.

[0032] Furthermore, when determining whether to adjust the green light duration of the traffic light based on the comparison result between the vehicle passing frequency and a preset frequency threshold, the following steps are included:

[0033] If the frequency of vehicle passage is greater than the preset frequency threshold, it is determined that the green light duration of the traffic light should be adjusted.

[0034] If the frequency of vehicles passing through is less than or equal to the preset frequency threshold, it is determined that the green light duration of the traffic signal will not be adjusted.

[0035] Furthermore, when the intelligent signal control module adjusts the green light duration of the traffic light according to the frequency of vehicle passage, it includes:

[0036] If the frequency of vehicle passage is greater than the preset frequency threshold but less than 1.2 times the preset frequency threshold, the green light duration is adjusted by the first correction coefficient.

[0037] If the frequency of vehicle passage is greater than or equal to 1.2 times the preset frequency threshold, the green light duration is adjusted by a second correction coefficient.

[0038] The range of the correction coefficient is 1 < first correction coefficient < second correction coefficient < 1.5. The adjusted green light duration is the product of the original green light duration and the correction coefficient.

[0039] Furthermore, if the intelligent signal control module determines that both the red light duration and the green light duration need to be adjusted, the green light duration will be extended to twice the current green light duration.

[0040] Compared with existing technologies, the advantages of this invention are as follows: From the data acquisition perspective, the Beidou positioning terminal, installed on traffic lights, can acquire vehicle geographical location information and traffic light location information in real time and accurately, providing an accurate spatial reference for subsequent traffic status analysis. The lane information collected by the traffic monitoring equipment covers key data such as vehicle queue length, queue duration, and passage frequency, comprehensively reflecting real-time road traffic conditions. The collection of this multi-source data provides a rich information foundation for system decision-making. In terms of data processing, the data fusion module integrates various data sources and mines the potential connections between them, enabling the system to have a more comprehensive and in-depth understanding of the traffic situation. Based on the fused data, the intelligent signal control module determines the geographical location range of queuing vehicles by combining the traffic light location and vehicle queue length, and then determines whether to shorten the red light duration. It also dynamically adjusts the red and green light durations based on the maximum vehicle queue duration and passage frequency. This data-driven adaptive control strategy, compared to traditional fixed timing schemes, can more flexibly adapt to changes in traffic flow, effectively reducing vehicle waiting time and improving road traffic efficiency. This invention realizes closed-loop management from data acquisition and fusion to signal control, which can alleviate traffic congestion, improve the intelligence and precision of urban traffic operation, and create a more convenient and efficient traffic environment for citizens.

[0041] On the other hand, this application also provides a multi-data fusion traffic signal control method based on BeiDou positioning, including:

[0042] Install BeiDou positioning terminals on traffic lights to obtain vehicle geographical location information and traffic light location information;

[0043] Traffic monitoring equipment is installed at intersections with traffic lights to collect lane information; the lane information includes vehicle queue length, vehicle queue duration, and vehicle passage frequency.

[0044] The vehicle's geographic location information, traffic light location information, and lane information are integrated;

[0045] The system obtains the merged information, calculates the geographical range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, and determines whether to shorten the red light duration based on the vehicle geographical location information and the geographical range. The system also obtains the vehicle queue length of each vehicle within a preset time period, calculates the maximum vehicle queue length, and adjusts the red light duration based on the maximum vehicle queue length.

[0046] The system obtains the vehicle passage frequency within a preset time period, and determines whether to adjust the green light duration of the traffic light based on the vehicle passage frequency. If it determines that adjustment is necessary, the system adjusts the green light duration of the traffic light based on the vehicle passage frequency.

[0047] It is understood that the multi-data fusion traffic signal control system and method based on BeiDou positioning provided in this application have the same beneficial effects, and will not be elaborated here. Attached Figure Description

[0048] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0049] Figure 1 This is a functional block diagram of a multi-data fusion traffic signal control system based on BeiDou positioning provided in an embodiment of the present invention.

[0050] Figure 2 A flowchart of a traffic signal control method based on BeiDou positioning provided in an embodiment of the present invention. Detailed Implementation

[0051] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the disclosure to those skilled in the art. It should be noted that, unless otherwise specified, embodiments and features in the embodiments of the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0052] In some embodiments of this application, see Figure 1 As shown, this embodiment provides a multi-data fusion traffic signal control system based on BeiDou positioning, including:

[0053] A Beidou positioning terminal is installed on a traffic light. The Beidou positioning terminal is used to obtain real-time vehicle geographical location information and traffic light location information.

[0054] Traffic monitoring equipment is installed at intersections equipped with traffic lights. The traffic monitoring equipment is used to collect lane information, including vehicle queue length, vehicle queue duration, and vehicle passage frequency.

[0055] The data fusion module is used to fuse the vehicle's geographical location information, traffic light location information, and lane information;

[0056] The intelligent signal control module is used to acquire the information fused by the data fusion module, obtain the geographical location range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, determine whether to shorten the red light duration based on the vehicle geographical location information and geographical location range, acquire the vehicle queue length of each vehicle within the preset time period, acquire the maximum vehicle queue length, and adjust the red light duration based on the maximum vehicle queue length.

[0057] The intelligent signal control module is also used to obtain the frequency of vehicle passage within a preset time period, and determine whether to adjust the green light duration of the traffic light based on the frequency of vehicle passage. If it is determined that adjustment is needed, the green light duration of the traffic light is adjusted according to the frequency of vehicle passage.

[0058] Understandably, from a data acquisition perspective, BeiDou positioning terminals installed on traffic lights can acquire real-time and accurate vehicle geographic location information and traffic light location information, providing an accurate spatial reference for subsequent traffic status analysis. Lane information collected by traffic monitoring equipment covers key data such as vehicle queue length, queue duration, and passage frequency, comprehensively reflecting real-time road traffic conditions. This multi-source data collection provides a rich information foundation for system decision-making. In terms of data processing, the data fusion module integrates various data sources and mines potential connections between them, enabling the system to have a more comprehensive and in-depth understanding of the traffic situation. Based on the fused data, the intelligent signal control module determines the geographic location range of queuing vehicles by combining traffic light location and vehicle queue length, then decides whether to shorten the red light duration. It dynamically adjusts the red and green light durations based on the maximum queue duration and passage frequency. This data-driven adaptive control strategy, compared to traditional fixed timing schemes, can more flexibly adapt to changes in traffic flow, effectively reducing vehicle waiting time and improving road traffic efficiency. This invention realizes closed-loop management from data acquisition and fusion to signal control, which can alleviate traffic congestion, improve the intelligence and precision of urban traffic operation, and create a more convenient and efficient traffic environment for citizens.

[0059] Specifically, traffic monitoring equipment is installed at intersections with traffic lights, such as on utility poles or other devices, and is used to detect traffic through cameras or other image or video acquisition devices.

[0060] The data fusion module can be implemented based on edge computing servers or high-performance servers in traffic control centers. At the hardware level, it employs industrial-grade equipment with multi-core processors and high-speed data interfaces to support real-time processing of multi-source data. Data acquisition relies on BeiDou positioning terminals (deployed at traffic lights to obtain vehicle and traffic light location information) and traffic monitoring equipment (such as intersection cameras and millimeter-wave radar to collect lane information such as queue length, queue duration, and passage frequency), and is transmitted in real-time to the data fusion module via wired (e.g., fiber optic) or wireless (e.g., 5G) networks. The data fusion module can run on a cloud server in the traffic management center or be deployed in an intelligent control cabinet (edge ​​computing node) near intersections. Through fusion algorithms, it performs spatiotemporal calibration, feature association, and weight integration on BeiDou positioning data and traffic monitoring data to form a comprehensive dataset containing vehicle location, queue status, and traffic light coordinates. The fused data is transmitted to the intelligent signal control module (which can be integrated into the same hardware or deployed in a nearby control unit) via a dedicated communication link. The intelligent signal control module then executes a dynamic adjustment strategy for the duration of red and green lights based on the fused data. Physically, the data fusion module is usually placed together with the intelligent signal control module in the traffic signal control cabinet or regional traffic control center to achieve deep fusion and closed-loop control of BeiDou positioning information and real-time lane monitoring data.

[0061] The intelligent signal control module falls under the category of single-point control, with its core logic revolving around independent regulation of traffic conditions at a single intersection. This module uses vehicle and traffic light location information collected by BeiDou positioning terminals within the intersection, combined with local lane data such as queue length, duration, and throughput frequency obtained from traffic monitoring equipment. This data is processed by a data fusion module to generate a single-point traffic situation analysis result. During control, dynamic adjustments to red and green light durations are performed only based on real-time data from the current intersection, without requiring data interaction or collaborative decision-making with signal control modules at surrounding intersections. For example, when the furthest point of a queue at an intersection exceeds a threshold in terms of duration, the intelligent signal control module independently shortens the red light duration at that intersection without involving coordinated adjustments to the signal cycles of adjacent intersections. Its physical deployment typically involves placing it alongside the data fusion module within the signal control cabinet of a single intersection, forming a closed-loop system of "single-point data acquisition-fusion-control."

[0062] In some embodiments of this application, the intelligent signal control module is used to acquire the information fused by the data fusion module, and when determining the geographical location range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, it includes:

[0063] The image acquisition device acquires images of vehicles queuing, and the image processing algorithm processes the acquired images of vehicles queuing to identify the length of the vehicle queue.

[0064] The geographical location range is calculated based on the traffic light location information and the vehicle queue length.

[0065] Understandably, the intelligent signal control module, by acquiring information processed by the data fusion module, can effectively determine the geographical area occupied by the vehicle queue based on the location of the traffic lights and the current queue length. First, real-time images of the vehicle queue are acquired using an image acquisition device. Then, image processing algorithms are used to analyze these images, accurately identifying the actual length of the queue. Combined with the location information of the traffic lights, the intelligent signal control module further calculates the specific geographical area covered by the queue, providing precise data support for the dynamic adjustment of traffic lights. This optimizes traffic flow, reduces congestion, improves road efficiency, and ultimately provides drivers with a smoother driving experience.

[0066] In some embodiments of this application, when the intelligent signal control module determines whether to shorten the red light duration of a traffic light based on the vehicle's geographical location information and geographical location range, it includes:

[0067] Obtain the geographical location information of the vehicle furthest from the traffic light in the queue, and mark that vehicle.

[0068] Obtain the duration of occupancy of the marked vehicle within the specified geographic location;

[0069] Based on the stated duration of occupation, determine whether to shorten the red light duration of the traffic signal.

[0070] In some embodiments of this application, when the intelligent signal control module is used to determine whether to shorten the red light duration of the traffic light based on the vehicle's geographical location information and geographical location range, it further includes:

[0071] Set a maximum duration for traffic light usage. If the duration of traffic light usage is greater than or equal to the maximum duration for traffic light usage, then determine to shorten the red light duration of the traffic light.

[0072] If the duration of occupation is less than the maximum duration of occupation, it is determined that the red light duration of the traffic signal will not be shortened.

[0073] In some embodiments of this application, the intelligent signal control module is used to obtain the queuing time of each vehicle in the vehicle queue length within a preset time period, obtain the maximum queuing time, and adjust the red light duration according to the maximum queuing time, including:

[0074] Calculate the time difference between the maximum vehicle queuing time and the maximum occupancy time;

[0075] A difference range is set. If the duration difference is less than the minimum value of the difference range, the red light duration is adjusted by a first adjustment coefficient.

[0076] If the duration difference is within the difference range, the red light duration is adjusted using the second adjustment coefficient.

[0077] If the duration difference is greater than the maximum value of the difference range, the red light duration is adjusted by a third adjustment coefficient.

[0078] The adjustment coefficient ranges from 1 to 0.5, and the adjusted red light duration is the product of the original red light duration and the adjustment coefficient.

[0079] Understandably, the intelligent signal control module optimizes the red light duration of traffic lights by using vehicle geographic location information and their range, thereby improving traffic efficiency and reducing congestion. Specifically, the system first identifies the vehicle furthest from the traffic light in the queue and marks its location. Then, the system monitors the vehicle's dwell time within the queue length. If the dwell time is short, it indicates smooth traffic flow, and the red light duration is not shortened. Conversely, if the dwell time is too long, the red light duration is shortened to avoid congestion. Furthermore, the system can dynamically adjust the red light duration based on the vehicle queue length, using different adjustment coefficients to address different traffic conditions, ensuring that the red light duration adapts to real-time traffic demands and further improves traffic efficiency.

[0080] The intelligent signal control module first acquires the geographical location information of the vehicle furthest from the traffic light in the queue and marks it. Then, the module monitors the duration this marked vehicle occupies within the queue length. Based on a preset maximum occupancy time (e.g., set to 3 minutes), the intelligent signal control module determines the vehicle's occupancy time. If the occupancy time is greater than or equal to 3 minutes, the module decides to shorten the red light duration to alleviate traffic congestion. Conversely, if the occupancy time is less than 3 minutes, the module decides not to shorten the red light duration and maintains the current traffic light timing scheme. Furthermore, the intelligent signal control module can further adjust the queue length based on the occupancy time of each vehicle within the preset queue length. First, it calculates the difference between the maximum occupancy time and the maximum occupancy time, and then dynamically adjusts the red light duration based on a preset difference range and adjustment coefficients (e.g., the first adjustment coefficient is 0.8, the second is 0.6, and the third is 0.4). If the duration difference is less than the minimum value of the difference range, the module will adjust the red light duration using a first adjustment factor; if the duration difference is within the difference range, it will be adjusted using a second adjustment factor; and if the duration difference is greater than the maximum value of the difference range, it will be adjusted using a third adjustment factor. In this way, the intelligent signal control module can respond to changes in traffic conditions in real time, ensuring that the red light duration adapts to real-time traffic demands and further improving traffic efficiency.

[0081] In some embodiments of this application, the intelligent signal control module is further configured to obtain the vehicle passing frequency within a preset time period, including:

[0082] Get the total green light duration and the total number of vehicles passing through within a preset time period;

[0083] The vehicle passage frequency is the reciprocal of the ratio of the total green light duration to the total number of vehicle passages;

[0084] Based on the comparison between the vehicle passing frequency and the preset frequency threshold, it is determined whether to adjust the green light duration of the traffic signal.

[0085] In some embodiments of this application, determining whether to adjust the green light duration of the traffic light based on a comparison between the vehicle passing frequency and a preset frequency threshold includes:

[0086] If the frequency of vehicle passage is greater than the preset frequency threshold, it is determined that the green light duration of the traffic light should be adjusted.

[0087] If the frequency of vehicles passing through is less than or equal to the preset frequency threshold, it is determined that the green light duration of the traffic signal will not be adjusted.

[0088] In some embodiments of this application, the intelligent signal control module is further configured to adjust the green light duration of the traffic light according to the frequency of vehicle passage, including:

[0089] If the frequency of vehicle passage is greater than the preset frequency threshold but less than 1.2 times the preset frequency threshold, the green light duration is adjusted by the first correction coefficient.

[0090] If the frequency of vehicle passage is greater than or equal to 1.2 times the preset frequency threshold, the green light duration is adjusted by a second correction coefficient.

[0091] The range of the correction coefficient is 1 < first correction coefficient < second correction coefficient < 1.5. The adjusted green light duration is the product of the original green light duration and the correction coefficient.

[0092] It is understood that, in some embodiments of this application, the intelligent signal control module obtains the total green light duration and the total number of vehicle passages within a preset time period, calculates the vehicle passage frequency (i.e., the reciprocal of the ratio of the total green light duration to the total number of vehicle passages), and determines whether the green light duration of the traffic signal needs to be adjusted based on the comparison result of this frequency with a preset frequency threshold. This enables real-time response to changes in traffic flow, optimization of traffic signal control, reduction of vehicle waiting time, and improvement of road traffic efficiency.

[0093] For example, the intelligent signal control module records a total green light duration of 120 seconds and a total of 60 vehicle passages within a preset timeframe. Based on calculations, the vehicle passage frequency is 120 seconds / 60 times = 2 times / second. If the preset frequency threshold is 1.5 times / second, since the vehicle passage frequency of 2 times / second exceeds the preset threshold, the intelligent signal control module decides to adjust the green light duration. If the first correction factor is 1.2, the adjusted green light duration is 120 seconds * 1.2 = 144 seconds. In this way, the green light duration is extended to accommodate the current high traffic volume, thereby improving the intersection's traffic efficiency.

[0094] In some embodiments of this application, if the intelligent signal control module determines that the red light duration and the green light duration need to be adjusted simultaneously, the green light duration is extended to twice the current green light duration.

[0095] Understandably, when the intelligent traffic signal control module needs to simultaneously shorten the red light duration and extend the green light duration, it will extend the green light duration to twice the current green light duration, meaning the red light duration will also be extended to twice the current red light duration. The advantage of this approach is that it can more effectively manage traffic flow, reduce vehicle waiting time, and improve intersection efficiency. Extending the green light duration ensures that more vehicles can pass through the intersection, reducing congestion.

[0096] On the other hand, see Figure 2 As shown, this application also provides a multi-data fusion traffic signal control method based on BeiDou positioning, applied to the aforementioned multi-data fusion traffic signal control system based on BeiDou positioning, comprising the following steps:

[0097] S100. Install Beidou positioning terminals on traffic lights to obtain vehicle geographical location information and traffic light location information;

[0098] S200. Traffic monitoring equipment is installed at intersections with traffic lights to collect lane information; wherein, the lane information includes vehicle queue length, vehicle queue duration, and vehicle passage frequency.

[0099] S300, integrate the vehicle's geographical location information, traffic light location information, and lane information;

[0100] S400: Obtain the fused information; based on the traffic light location information and the current vehicle queue length, obtain the geographical location range occupied by the current vehicle queue length; determine whether to shorten the red light duration of the traffic light based on the vehicle geographical location information and the geographical location range; obtain the vehicle queue length of each vehicle in the vehicle queue length within the preset duration; obtain the maximum vehicle queue length; and adjust the red light duration based on the maximum vehicle queue length.

[0101] S500: Obtain the vehicle passage frequency within a preset time period, and determine whether to adjust the green light duration of the traffic light based on the vehicle passage frequency. If it is determined to adjust, then adjust the green light duration of the traffic light based on the vehicle passage frequency.

[0102] Understandably, this invention, through the deep integration of BeiDou positioning technology and multi-source data, constructs a complete closed loop from data acquisition and processing to decision execution, significantly improving the intelligence level of traffic signal control. In the data acquisition phase, BeiDou positioning terminals are simultaneously deployed on traffic lights to achieve precise positioning of traffic participants and infrastructure. Combined with multi-dimensional lane information collected by traffic monitoring equipment, a three-dimensional data system covering spatial location, temporal dimensions, and traffic flow characteristics is formed. This multi-modal data acquisition method avoids the limitations of a single data source and enhances the comprehensiveness and accuracy of traffic condition perception through data complementarity. The data fusion phase integrates vehicle location, traffic light status, and lane dynamic data to uncover hidden relationships between data, providing a more valuable information foundation for subsequent decision-making. For example, correlation analysis between vehicle queue length and geographical location range can intuitively determine the scope of congestion impact; combining vehicle queue duration and passage frequency allows for precise understanding of traffic flow trends. The intelligent decision-making phase employs a hierarchical optimization strategy, dynamically adjusting red light durations based on the geographical location of queuing vehicles to prioritize the right-of-way for vehicles with long waiting times. Green light timing is optimized by adjusting vehicle passage frequency, dynamically matching signal cycles with actual traffic demand. This dual-dimensional adjustment mechanism addresses both single-point congestion and overall road network smoothness. From a macro perspective, this control method contributes to building a smart transportation ecosystem. The application of BeiDou positioning technology provides a standardized data interface for vehicle-road cooperation, facilitating future deep integration with autonomous driving and intelligent traffic management platforms. Simultaneously, the accumulation and analysis of multi-source data can provide quantitative data for urban traffic planning, promoting the scientific layout and optimization of transportation infrastructure.

[0103] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program goods. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program goods embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0104] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program goods according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0105] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0106] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0107] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A multi-data fusion traffic signal control system based on BeiDou positioning, characterized in that, include: A Beidou positioning terminal is installed on a traffic light. The Beidou positioning terminal is used to obtain real-time vehicle geographical location information and traffic light location information. Traffic monitoring equipment is installed at intersections equipped with traffic lights. The traffic monitoring equipment is used to collect lane information, including vehicle queue length, vehicle queue duration, and vehicle passage frequency. The data fusion module is used to fuse the vehicle's geographical location information, traffic light location information, and lane information; The intelligent signal control module is used to acquire the information fused by the data fusion module, obtain the geographical location range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, determine whether to shorten the red light duration based on the vehicle geographical location information and geographical location range, acquire the vehicle queue length of each vehicle within the preset time period, acquire the maximum vehicle queue length, and adjust the red light duration based on the maximum vehicle queue length. The intelligent signal control module is also used to obtain the frequency of vehicle passage within a preset time period, and determine whether to adjust the green light duration of the traffic light based on the frequency of vehicle passage. If it is determined that adjustment is needed, the green light duration of the traffic light is adjusted according to the frequency of vehicle passage.

2. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 1, characterized in that, The intelligent signal control module is used to acquire the information fused by the data fusion module, and when determining the geographical location range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, it includes: The image acquisition device acquires images of vehicles queuing, and the image processing algorithm processes the acquired images of vehicles queuing to identify the length of the vehicle queue. The geographical location range is calculated based on the traffic light location information and the vehicle queue length.

3. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 2, characterized in that, The intelligent signal control module is used to determine whether to shorten the red light duration of the traffic signal based on the vehicle's geographical location information and geographical location range, including: Obtain the geographical location information of the vehicle furthest from the traffic light in the queue, and mark that vehicle. Obtain the duration of occupancy of the marked vehicle within the specified geographic location; Based on the stated duration of occupation, determine whether to shorten the red light duration of the traffic signal.

4. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 3, characterized in that, When the intelligent signal control module determines whether to shorten the red light duration of the traffic light based on the vehicle's geographical location information and geographical location range, it further includes: Set a maximum duration for traffic light usage. If the duration of traffic light usage is greater than or equal to the maximum duration for traffic light usage, then determine to shorten the red light duration of the traffic light. If the duration of occupation is less than the maximum duration of occupation, it is determined that the red light duration of the traffic signal will not be shortened.

5. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 4, characterized in that, The intelligent signal control module is used to obtain the queuing time of each vehicle within a preset time period, obtain the maximum queuing time, and adjust the red light duration based on the maximum queuing time, including: Calculate the time difference between the maximum vehicle queuing time and the maximum occupancy time; A difference range is set. If the duration difference is less than the minimum value of the difference range, the red light duration is adjusted by a first adjustment coefficient. If the duration difference is within the difference range, the red light duration is adjusted using the second adjustment coefficient. If the duration difference is greater than the maximum value of the difference range, the red light duration is adjusted by a third adjustment coefficient. The adjustment coefficient ranges from 1 to 0.5, and the adjusted red light duration is the product of the original red light duration and the adjustment coefficient.

6. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 1, characterized in that, The intelligent signal control module is also used to obtain the vehicle passing frequency within a preset time period, including: Get the total green light duration and the total number of vehicles passing through within a preset time period; The vehicle passage frequency is the reciprocal of the ratio of the total green light duration to the total number of vehicle passages; Based on the comparison between the vehicle passing frequency and the preset frequency threshold, it is determined whether to adjust the green light duration of the traffic signal.

7. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 6, characterized in that, When determining whether to adjust the green light duration of the traffic light based on a comparison between the vehicle passing frequency and a preset frequency threshold, the following steps are included: If the frequency of vehicle passage is greater than the preset frequency threshold, it is determined that the green light duration of the traffic signal should be adjusted. If the frequency of vehicles passing through is less than or equal to the preset frequency threshold, it is determined that the green light duration of the traffic signal will not be adjusted.

8. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 7, characterized in that, The intelligent signal control module is also used to adjust the green light duration of the traffic light according to the frequency of vehicle passage, including: If the frequency of vehicle passage is greater than the preset frequency threshold but less than 1.2 times the preset frequency threshold, the green light duration is adjusted by the first correction coefficient. If the frequency of vehicle passage is greater than or equal to 1.2 times the preset frequency threshold, the green light duration is adjusted by a second correction coefficient. The range of the correction coefficient is 1 < first correction coefficient < second correction coefficient < 1.

5. The adjusted green light duration is the product of the original green light duration and the correction coefficient.

9. The multi-data fusion traffic signal control system based on BeiDou positioning according to claim 1, characterized in that, If the intelligent signal control module determines that both the red light duration and the green light duration need to be adjusted, then the green light duration will be extended to twice the current green light duration.

10. A traffic signal control method based on BeiDou positioning and multi-data fusion, applied to the traffic signal control system based on BeiDou positioning and multi-data fusion as described in any one of claims 1-9, characterized in that, include: Install BeiDou positioning terminals on traffic lights to obtain vehicle geographical location information and traffic light location information; Traffic monitoring equipment is installed at intersections with traffic lights to collect lane information; the lane information includes vehicle queue length, vehicle queue duration, and vehicle passage frequency. The vehicle's geographic location information, traffic light location information, and lane information are integrated; The system obtains the merged information, calculates the geographical range occupied by the current vehicle queue length based on the traffic light location information and the current vehicle queue length, and determines whether to shorten the red light duration based on the vehicle geographical location information and the geographical range. The system also obtains the vehicle queue length of each vehicle within a preset time period, calculates the maximum vehicle queue length, and adjusts the red light duration based on the maximum vehicle queue length. The system obtains the vehicle passage frequency within a preset time period, and determines whether to adjust the green light duration of the traffic light based on the vehicle passage frequency. If it determines that adjustment is necessary, the system adjusts the green light duration of the traffic light based on the vehicle passage frequency.

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