A traffic signal intersection overflow prevention control system and method based on color step table
By using a color step table-based traffic signal intersection overflow prevention control system, the traffic light status is dynamically adjusted, solving the problem that traffic signal control systems cannot flexibly respond to traffic demands, and realizing intelligent management of traffic resources and congestion relief.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN RONGHENG IND GRP
- Filing Date
- 2023-09-20
- Publication Date
- 2026-07-17
AI Technical Summary
The existing traffic signal control system cannot achieve intelligent and flexible signal control, resulting in frequent traffic overflow, traffic congestion, and waste of resources.
A traffic signal intersection overflow prevention control system based on color step meter is adopted. The overflow detector detects the degree of vehicle overflow, and the signal light status is dynamically adjusted in combination with the signal control subsystem and color step meter system. Data is transmitted in real time using 5G network and traffic resources are optimized.
It effectively alleviates traffic congestion, reduces police intervention, improves traffic efficiency, and enables the rational allocation and real-time management of traffic resources.
Smart Images
Figure CN117253363B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of traffic signal control technology, and in particular to a traffic signal intersection overflow prevention control system and method based on a color step table. Background Technology
[0002] With the rapid urbanization in my country, the per capita car ownership in cities has increased dramatically, putting unprecedented pressure on the extremely limited urban transportation networks. In recent years, traffic engineering and information technology have made great strides, bringing tremendous development prospects to intelligent transportation systems. However, they still cannot solve all the problems encountered in transportation. Congestion remains a persistent problem in urban traffic, leading to derivative issues such as energy waste, environmental pollution, and safety accidents.
[0003] The key constraint on the traffic capacity of urban arterial roads is the intersection. Due to the "bottleneck effect," the capacity of intersections is lower than that of road segments, and excessive traffic demand leads to congestion. Traffic overflow is an extreme form of intersection congestion, causing grid locking in all four directions centered on the congested intersection. As the number of grid-locked intersections increases, large-scale traffic paralysis can occur across the entire road network. Intersections are typically equipped with traffic lights to guide vehicles and pedestrians safely. Currently, traffic light control systems mainly use countdown timers to automatically change traffic lights, with a pre-set display duration for each light. When the display duration is reached, the light color changes. However, existing traffic light control methods are not flexible enough and cannot achieve intelligent control of traffic lights.
[0004] The root cause of traffic congestion is the imbalance between traffic supply and demand, meaning the traffic flow handled by the road network exceeds its capacity, resulting in network overflow. Overflow, analogous to liquid overflowing from a container, occurs when traffic flow exceeds the road's capacity. Spatially, this manifests as excessively long queues of vehicles blocking the normal passage space at upstream intersections, preventing vehicles from turning through. Temporally, it manifests as peak-hour traffic demand accumulating in a short period, exceeding the road network's capacity, causing congestion at upstream intersections, rendering traffic lights ineffective, and preventing vehicles from passing through even during green light periods. Establishing a backend overflow analysis subsystem can effectively alleviate these problems. Summary of the Invention
[0005] The summary of this invention introduces a series of simplified concepts, which will be further explained in detail in the detailed description section. The summary of this invention does not mean that it attempts to limit the key features and essential technical features of the claimed technical solution, nor does it mean that it attempts to determine the scope of protection of the claimed technical solution.
[0006] To at least partially solve the above problems, the present invention provides a traffic signal intersection overflow prevention control system based on a color step table, comprising:
[0007] Overflow detection configuration system:
[0008] Responsible for configuring the parameters for different overflow levels at the exits of each intersection, which will serve as the basis for the subsequent signal control subsystem to control the traffic lights;
[0009] Overflow detection configuration subsystem:
[0010] Responsible for configuring the parameters for different overflow levels at the exits of each intersection, which will serve as the basis for the subsequent signal control subsystem to control the traffic lights;
[0011] Overflow detector subsystem:
[0012] It is responsible for detecting the overflow level of vehicles at the exits of each intersection, including slow overflow, congestion overflow, and overflow clearance, and reporting the detected overflow level to the signal control subsystem.
[0013] Color step table subsystem:
[0014] It is responsible for storing the color step duration and signal light status of different color step steps in the initial state. When the signal control subsystem needs to adjust the signal light status, it queries the variable color step steps and color step duration from the color step table subsystem with the overflow flow direction as a parameter.
[0015] Signal control subsystem:
[0016] It is responsible for reading configuration parameters from the overflow detection configuration subsystem based on the overflow level reported by the overflow detector subsystem, and using the corresponding time ratio chain value in the configuration parameters to correct the signal light duration stored in the color step table subsystem, thereby changing the overflow flow direction of the traffic and alleviating traffic congestion.
[0017] Preferably, the overflow detection configuration subsystem includes:
[0018] Computer communication module:
[0019] The computer and the signal control subsystem communicate via RS485, and the configuration program is run to configure the system.
[0020] Export selection module:
[0021] Responsible for selecting the exits in the four directions (east, south, west, and north) to be configured;
[0022] Parameter setting module:
[0023] It is responsible for configuring the selected exit parameters. The parameters include level 1, level 2, and level 3. Each level includes two parameters: the corresponding time ratio chain and the overflow direction. The overflow direction is used to query the color step steps and step duration from the color step table subsystem. The corresponding time ratio chain is the step duration correction ratio stored in the color step table subsystem.
[0024] Preferably, the overflow detector subsystem includes:
[0025] Overflow detection module:
[0026] Two geomagnetic sensors spaced 4 meters apart in the same lane constitute a geomagnetic group. Two geomagnetic groups are deployed at the exit of an intersection. The presence of a vehicle above a geomagnetic sensor is determined by the simultaneous occupation of two geomagnetic sensors by the front and rear wheels of a vehicle. The congestion level at the exit is classified into three categories based on the duration and frequency of the presence of vehicles above the geomagnetic sensors: Slow-moving overflow, where at least one geomagnetic sensor in each group is occupied simultaneously for more than N seconds; Congestion overflow, where slow-moving overflow is detected again after N seconds; Overflow resolved, where N vehicles pass through the geomagnetic sensor within M seconds, or 3 / 4 of all geomagnetic sensors are not occupied for more than K seconds.
[0027] Preferably, the signal control subsystem includes:
[0028] Signal processing module:
[0029] The signal processing module dynamically adjusts the duration of the traffic lights based on the color step table subsystem and the overflow detection configuration subsystem. The signal control subsystem receives the overflow degree output by the overflow detector subsystem, and then uses the overflow degree as a parameter to query the corresponding overflow flow direction and corresponding time ratio chain in the overflow detection configuration subsystem. Based on the overflow flow direction, it finds the corresponding variable step and step duration from the color step table subsystem. Then, it multiplies the step duration by the configuration value of the corresponding time ratio chain to obtain the new traffic light state duration. This new duration is used as a reference to control the traffic light state, while the original step duration remains unchanged.
[0030] Signal transmission module:
[0031] The signal transmission module is responsible for reporting the received congestion information to the data communication subsystem.
[0032] The preferred communication method of the overflow detector system is characterized by:
[0033] The overflow detector system and the signal control subsystem communicate via RS485.
[0034] Preferably, the data communication subsystem is characterized by:
[0035] The system receives slow overflow, congestion overflow, and overflow resolution data forwarded by the signal control subsystem and reports them to the backend overflow analysis subsystem via the 5G network.
[0036] The 5G communication module receives slow traffic overflow, congestion overflow, and overflow resolution data, and then performs data parsing and processing operations to extract key information. The parsing operation includes parsing the data packet header information, verifying data integrity, and verifying data legality. The processing operation includes decoding the data, extracting key information, and performing data transformation. The extracted key information includes the degree of traffic congestion, traffic flow, and road conditions.
[0037] Using 5G communication technology, the processed data is encapsulated into predefined data packets and transmitted to the backend overflow analysis subsystem via the 5G network, ensuring the secure and real-time transmission of the data packets. The data packet encapsulation process includes adding header information, data compression, and encryption protection to ensure the secure and real-time transmission of the data packets.
[0038] Preferably, the backend overflow analysis subsystem includes:
[0039] Data Analysis Module:
[0040] It stores historical data on the overflow status of all intersection exits. By using historical data, it is possible to predict the congestion that will occur at each intersection in advance, make effective response plans in advance, and guide vehicles to surrounding roads through traffic lights and variable guidance signs, thereby achieving the rational allocation of traffic resources.
[0041] Specifically, the data analysis module extracts historical data on the overflow status of intersection exits, preprocesses the extracted historical data including data cleaning, noise reduction and feature extraction, and uses deep learning algorithms to train the preprocessed historical data to build a traffic congestion prediction model.
[0042] The system monitors the overflow status of intersection exits in real time and inputs the real-time data into the traffic congestion prediction model. Based on the output of the traffic congestion prediction model, it judges the congestion situation that will occur at the intersection and generates response plans according to the congestion situation. The response plans include adjusting the timing of traffic lights and the display content of variable guidance signs to guide vehicles to surrounding roads and achieve rational allocation of traffic resources.
[0043] This invention provides a traffic signal intersection overflow prevention control method based on a color step table, characterized by comprising:
[0044] S1 Geomagnetic Group Congestion Detection Process;
[0045] S2 Signal Control Subsystem Signal Processing Flow.
[0046] Preferably, S1 includes
[0047] S11 If two geomagnetic fields in a geomagnetic group occupy the same position for more than N seconds, it is determined to be a slow overflow.
[0048] S12 If a geomagnetic group determines that slow traffic overflow has lasted for N seconds, and slow traffic overflow is detected again, then congestion overflow is determined.
[0049] If N vehicles pass through the geomagnetic field within M seconds, or if 3 / 4 of all geomagnetic fields are not under pressure for more than K seconds, then the overflow is considered to be released.
[0050] Preferably, S2 includes:
[0051] The S21 signal control subsystem receives the overflow level reported by the overflow detection subsystem;
[0052] The S22 signal control subsystem queries the overflow detection configuration subsystem based on the overflow level reported by the overflow detection subsystem.
[0053] The S23 signal control subsystem receives the overflow flow direction and corresponding time ratio chain queried by the overflow configuration subsystem;
[0054] The S24 signal control subsystem queries the color step table subsystem based on the received overflow flow direction;
[0055] The S25 signal control subsystem receives the variable steps and step duration returned by the color step table subsystem;
[0056] The S26 signal control subsystem multiplies the configuration value of the corresponding time proportional chain by the step duration to obtain the new signal light state duration, and uses this new duration as a reference to control the signal light state.
[0057] The S27 signal control subsystem reports the overflow level to the data communication subsystem.
[0058] This invention discloses a traffic signal intersection overflow prevention control method based on a color step table. This method detects vehicle traffic status at the intersection exit and categorizes vehicle status into three levels: slow overflow, congested overflow, and overflow relief. Different overflow directions and time ratio chains are configured for each level. Each overflow direction has a corresponding color step in the color step table system. The duration of the color step is adjusted based on the time ratio chain to reduce traffic flow in that overflow direction, thereby alleviating traffic congestion at the intersection exit and achieving overflow mitigation. During peak hours, manual intervention by motorcycle police is largely unnecessary, saving significant police resources and providing valuable experience for overflow prevention control at similar intersections. Attached Figure Description
[0059] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:
[0060] Figure 1 This is a functional flowchart of a traffic signal intersection overflow prevention control system and method based on a color step table, as described in this invention.
[0061] Figure 2 This is a configuration diagram of a traffic signal intersection overflow prevention control system and method based on a color step table, as described in this invention.
[0062] Figure 3 This is a layout diagram of a traffic signal intersection overflow prevention control system and method based on a color step table, as described in this invention. Detailed Implementation
[0063] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.
[0064] Example 1:
[0065] This invention provides a traffic signal intersection overflow prevention control system based on a color step meter, referencing... Figure 1 ,include:
[0066] The overflow detection configuration subsystem is responsible for configuring the configuration parameters for different overflow levels at the exits of each intersection, which serve as the basis for the subsequent signal control subsystem to control the traffic lights.
[0067] The overflow detector subsystem is responsible for detecting the overflow level of vehicles at the exits of each intersection. The overflow level includes slow overflow, congestion overflow, and overflow clearance. At the same time, it reports the detected overflow level to the signal control subsystem.
[0068] The color step table subsystem is responsible for storing the color step duration and signal light status of different color step steps in the initial state. When the signal control subsystem needs to adjust the signal light status, it queries the variable color step steps and color step duration from the color step table subsystem using the overflow flow direction as a parameter.
[0069] The signal control subsystem is responsible for reading configuration parameters from the overflow detection configuration subsystem based on the overflow level reported by the overflow detector subsystem, and using the corresponding time ratio chain value in the configuration parameters to correct the signal light duration stored in the color step table subsystem, thereby changing the output state of the signal light.
[0070] The data communication subsystem is responsible for receiving slow overflow, congestion overflow and overflow resolution data forwarded by the signal control subsystem and reporting them to the backend overflow analysis subsystem via the 5G network.
[0071] The backend overflow analysis subsystem is responsible for storing historical data on the overflow status of all intersection exits. By using historical data, it can predict the congestion that will occur at each intersection in advance and make effective response plans in advance. Through traffic lights and variable guidance signs, vehicles are guided to surrounding roads, thereby achieving a reasonable allocation of traffic resources.
[0072] In this embodiment, the overflow direction refers to the direction from which vehicles leaving the intersection from this exit mainly come.
[0073] In this embodiment, the color step duration is the length of time the traffic light maintains this state.
[0074] In this embodiment, the color step table is a table that records the output status of the traffic lights at the intersection within one cycle.
[0075] In this embodiment, the color step is used to uniformly encode the flow direction of all vehicles at an intersection and store it in the color step table for reference when adjusting the traffic light status later.
[0076] In this embodiment, slow overflow refers to the situation where vehicles are moving slowly, causing a queue of vehicles to overflow the intersection.
[0077] In this embodiment, congestion overflow refers to the situation where vehicles do not move for a long time, causing vehicles to queue up and overflow at the intersection.
[0078] In this embodiment, overflow resolution means that the vehicle passes quickly and no overflow request is detected.
[0079] The beneficial effects of the above technologies are as follows: The overflow detection configuration subsystem configures the pre-planned overflow handling scheme into the system. When an overflow of a corresponding level occurs, the overflow detector subsystem reports it to the signal control subsystem. The signal control subsystem reads the scheme configured by the overflow detection configuration subsystem and simultaneously reads the initial time data stored in the color step table subsystem. Based on the initial data, a new signal control time is generated, and this time is used to control the traffic lights. The data communication subsystem receives the overflow data forwarded by the signal control subsystem and forwards it to the backend overflow analysis subsystem, acting as a bridge between the signal control subsystem and the backend overflow analysis subsystem. The backend overflow analysis subsystem stores historical congestion data for each intersection, providing accurate data support for future road reconstruction and construction.
[0080] Example 2:
[0081] Based on Example 1, the overflow detection and configuration subsystem of the traffic signal intersection overflow prevention control system based on color step table includes:
[0082] Computer communication module:
[0083] The computer and the signal control subsystem communicate via RS485, and the configuration program is run to configure the system.
[0084] Export selection module:
[0085] Responsible for selecting the exits in the four directions (east, south, west, and north) to be configured;
[0086] Parameter setting module:
[0087] It is responsible for configuring the selected exit parameters. The parameters include level 1, level 2, and level 3. Each level includes two parameters: the corresponding time ratio chain and the overflow direction. The overflow direction is used to query the color step steps and step duration from the color step table subsystem. The corresponding time ratio chain is the step duration correction ratio stored in the color step table subsystem.
[0088] In this embodiment, the corresponding time ratio chain is the ratio that needs to be corrected for the color step duration stored in the color step table under this overflow level.
[0089] In this embodiment, the color step duration is the length of time the traffic light maintains this state.
[0090] In this embodiment, the color step table is a table that records the output status of the traffic lights at the intersection within one cycle.
[0091] In this embodiment, the color step is used to uniformly encode the flow direction of all vehicles at an intersection and store it in the color step table for reference when adjusting the traffic light status later.
[0092] In this embodiment, the overflow direction refers to the direction from which vehicles leaving the intersection from this exit mainly come.
[0093] The beneficial effects of the above technologies are as follows: the overflow detection configuration subsystem pre-configures the handling schemes corresponding to different overflow levels at different exits into the system. When the corresponding overflow level occurs, the system handles it step by step, which is targeted and effective. By assigning Chinese descriptions to digital quantities, human error is effectively avoided.
[0094] Example 3:
[0095] Based on Embodiment 1, the traffic signal intersection overflow prevention control system based on a color step table is characterized in that the overflow detector subsystem includes:
[0096] Overflow detection module:
[0097] Two geomagnetic sensors spaced 4 meters apart in the same lane constitute a geomagnetic group. Two geomagnetic groups are deployed at the exit of an intersection. The presence of a vehicle above a geomagnetic sensor is determined by the simultaneous occupation of two geomagnetic sensors by the front and rear wheels of a vehicle. The congestion level at the exit is classified into three categories based on the duration and frequency of the presence of vehicles above the geomagnetic sensors: Slow-moving overflow, where at least one geomagnetic sensor in each group is occupied simultaneously for more than N seconds; Congestion overflow, where slow-moving overflow is detected again after N seconds; Overflow resolved, where N vehicles pass through the geomagnetic sensor within M seconds, or 3 / 4 of all geomagnetic sensors are not occupied for more than K seconds.
[0098] In this embodiment, the geomagnetic sensor is buried under the road, and its output state changes when pressure is sensed above it or when the pressure disappears.
[0099] In this embodiment, slow overflow refers to the situation where vehicles are moving slowly, causing a queue of vehicles to overflow the intersection.
[0100] In this embodiment, congestion overflow refers to the situation where vehicles do not move for a long time, causing vehicles to queue up and overflow at the intersection.
[0101] In this embodiment, overflow resolution means that the vehicle passes quickly and no overflow situation as described above is detected.
[0102] Combination Figure 3 Detailed description of an actual geomagnetic field mapping diagram:
[0103] At the intersection of Xiangmihu Road and Qiaoxiang Road, two geomagnetic arrays are installed in each lane at the north and south exits. The layout in the north-south direction is slightly different. Please refer to the detailed description below.
[0104] 1. Two geomagnetic sensors have been installed in the innermost lane at 63 meters from the south exit, spaced 4 meters apart; two geomagnetic sensors have also been installed in the innermost lane at 83 meters from the south exit, spaced 4 meters apart.
[0105] 2. Four geomagnetic sensors were installed 68 meters from the north exit, with two spaced 4 meters apart in the innermost lane and two spaced 4 meters apart in the adjacent lane; four geomagnetic sensors were installed 5 meters from the north exit, with two spaced 4 meters apart in the innermost lane and two spaced 4 meters apart in the adjacent lane.
[0106] 3. Two geomagnetic sensors spaced 4 meters apart form a group to ensure stable pressure on the vehicle.
[0107] 4. The geomagnetic sensor located 60 meters from the exit serves two purposes: firstly, to reserve space for overflow warnings, and secondly, to accommodate vehicles in the U-turn lane. It is primarily used for detecting slow-moving traffic and congestion overflow. The geomagnetic sensor located 5 meters from the exit is intended for detecting severe congestion.
[0108] 5. Generally, the two sets of geomagnetic sensors will be distributed across two lanes. Choose the lane that is not affected by the right-turn merging traffic flow. For 2-3 lanes, choose the innermost lane and the adjacent lane (1,2); for 4 lanes, choose the innermost lane and the alternate lane (1,3).
[0109] 6. There is another special case: the Xiangmihu South Exit has two lanes. The traffic flow in the second lane is unobstructed, so it cannot be used for overflow detection. In this case, two sets of geomagnetic sensors are distributed in the same lane, spaced 10-20 meters apart.
[0110] The beneficial effects of the above technologies are as follows: by rationally designing the geomagnetic field laying scheme, the traffic conditions of vehicles can be accurately detected, avoiding false detections. Slow traffic overflow is a low-level congestion. If the congestion worsens on the basis of slow traffic overflow, it will be upgraded to congestion overflow. Overflow resolution means that the system does not detect the above two types of congestion and considers that no congestion has occurred.
[0111] Example 4:
[0112] Based on Embodiment 1, the traffic signal intersection overflow prevention control system based on a color step table is characterized in that the signal control subsystem includes:
[0113] Signal processing module:
[0114] The signal processing module dynamically adjusts the duration of the traffic lights based on the color step table subsystem and the overflow detection configuration subsystem. The signal control subsystem receives the overflow degree output by the overflow detector subsystem, and then uses the overflow degree as a parameter to query the corresponding overflow flow direction and corresponding time ratio chain in the overflow detection configuration subsystem. Based on the overflow flow direction, it finds the corresponding variable step and step duration from the color step table subsystem. Then, it multiplies the step duration by the configuration value of the corresponding time ratio chain to obtain the new traffic light state duration. This new duration is used as a reference to control the traffic light state, while the original step duration remains unchanged.
[0115] Signal transmission module:
[0116] The signal transmission module is responsible for reporting the received congestion information to the data communication subsystem.
[0117] In this embodiment, the color step table is a table that records the output status of the traffic lights at the intersection within one cycle.
[0118] In this embodiment, the overflow direction refers to the direction from which vehicles leaving the intersection from this exit mainly come.
[0119] In this embodiment, the color step duration is the length of time the traffic light maintains this state.
[0120] In this embodiment, the color step is used to uniformly encode the flow direction of all vehicles at an intersection and store it in the color step table for reference when adjusting the traffic light status later.
[0121] In this embodiment, the corresponding time ratio chain is the ratio that needs to be corrected for the color step duration stored in the color step table under this overflow level.
[0122] In this embodiment, the duration of the signal light is the length of time the signal light remains on or off.
[0123] Combination Figure 3 Briefly describe a testing and adjustment process.
[0124] The northbound exit of the Qiaoxiang-Xiangmihu intersection will be configured with a slow-moving overflow level, with the overflow direction being left turns for westbound vehicles, and the operating time ratio being 70%.
[0125] When slow-moving traffic overflows at the northbound exit of Xiangmihu Road, the overflow detection configuration subsystem identifies the overflow flow direction as left turns for westbound vehicles. Based on this westbound left-turn flow, the color-step table subsystem finds the corresponding variable step length of 15 steps, currently configured to be 20 seconds. Adjusting this step length to 14 seconds using a 70% time ratio, the green light duration for the 15th step (westbound left turn) is 14 seconds before transitioning to yellow and then red lights.
[0126] The beneficial effects of the above technologies are as follows: the signal control subsystem, as the core component of signal processing, runs through all stages of signal processing, and at the same time serves as the data source for the back-end overflow analysis subsystem.
[0127] In this embodiment, the color step meter subsystem provides the original data for controlling the state of traffic lights. When there is no congestion or the congestion is relieved, the signal control subsystem controls the output state of the traffic lights according to the original data stored in the color step meter subsystem. When congestion occurs, the data stored in the color step meter subsystem is used as the baseline data. Based on the baseline data, new data is generated according to the data configured by the configuration subsystem, and the state of the traffic lights is controlled. The original data remains unchanged to ensure that the traffic lights operate normally according to the original settings under normal circumstances.
[0128] The beneficial effects of the above technologies are: by processing the overflow signals and dynamically adjusting the output state of the traffic lights, traffic congestion can be avoided to a certain extent.
[0129] Example 5:
[0130] Based on Example 1, the traffic signal intersection overflow prevention control system based on a color step table is characterized by comprising:
[0131] Link communication module:
[0132] The overflow detector subsystem and the signal control subsystem communicate via RS485.
[0133] The beneficial effects of the above technologies are: since there is a considerable distance between the overflow detector subsystem and the signal control subsystem, using the 485 communication method can minimize interference.
[0134] Example 6:
[0135] Based on Embodiment 1, the traffic signal intersection overflow prevention control system based on a color step table is characterized in that the data communication subsystem includes:
[0136] 5G communication module:
[0137] The system receives slow overflow, congestion overflow, and overflow resolution data forwarded by the signal control subsystem and reports them to the backend overflow analysis subsystem via the 5G network.
[0138] The 5G communication module receives slow traffic overflow, congestion overflow, and overflow resolution data, and then performs data parsing and processing operations to extract key information. The parsing operation includes parsing the data packet header information, verifying data integrity, and verifying data legality. The processing operation includes decoding the data, extracting key information, and performing data transformation. The extracted key information includes the degree of traffic congestion, traffic flow, and road conditions.
[0139] Using 5G communication technology, the processed data is encapsulated into predefined data packets and transmitted to the backend overflow analysis subsystem via the 5G network, ensuring the secure and real-time transmission of the data packets. The data packet encapsulation process includes adding header information, data compression, and encryption protection to ensure the secure and real-time transmission of the data packets.
[0140] The beneficial effects of the above technologies are as follows: Using the latest 5G network to report overflow data effectively leverages the speed and stability of the 5G network, avoiding network latency that could lead to untimely processing or data loss; through parsing and processing, key information such as traffic congestion levels, traffic flow, and road conditions can be extracted; this information can help traffic management departments and drivers understand traffic conditions in real time and take timely measures to improve traffic efficiency and reduce congestion; through 5G communication technology, the processed data is encapsulated into specific data packets and transmitted to the backend overflow analysis subsystem via the 5G network. During the data packet encapsulation process, header information is added to the data packets, and data is processed... Compression and encryption protection ensure the secure transmission of data packets, helping to prevent data tampering, leakage, or malicious attacks, and guaranteeing data integrity and security. Through 5G communication technology, the processed data packets can be transmitted to the backend overflow analysis subsystem in real time, ensuring the real-time nature of traffic information. This allows traffic management departments and drivers to obtain the latest traffic conditions promptly, making corresponding decisions and adjustments. By extracting key information, such as traffic congestion levels and traffic flow, traffic resources can be optimally allocated. Traffic management departments can adjust the timing of traffic lights based on real-time traffic information, guiding vehicles to surrounding roads to reduce traffic congestion and improve traffic efficiency.
[0141] Example 7:
[0142] Based on Example 1, the traffic signal intersection overflow prevention control system based on color step table is characterized in that the back-end overflow analysis subsystem includes:
[0143] Data Analysis Module:
[0144] It stores historical data on the overflow status of all intersection exits. By using historical data, it is possible to predict the congestion that will occur at each intersection in advance, make effective response plans in advance, and guide vehicles to surrounding roads through traffic lights and variable guidance signs, thereby achieving the rational allocation of traffic resources.
[0145] Specifically, the data analysis module extracts historical data on the overflow status of intersection exits, preprocesses the extracted historical data including data cleaning, noise reduction and feature extraction, and uses deep learning algorithms to train the preprocessed historical data to build a traffic congestion prediction model.
[0146] During training, corresponding loss functions and optimization algorithms are used to improve the accuracy and generalization ability of the model; model evaluation and tuning are performed, including cross-validation and adjusting model parameters to improve model performance; based on the trained traffic congestion prediction model, future traffic conditions are predicted, including the degree of traffic congestion and traffic flow.
[0147] The system monitors the overflow status of intersection exits in real time and inputs the real-time data into the traffic congestion prediction model. Based on the output of the traffic congestion prediction model, it judges the congestion situation that will occur at the intersection and generates response plans according to the congestion situation. The response plans include adjusting the timing of traffic lights and the display content of variable guidance signs to guide vehicles to surrounding roads and achieve rational allocation of traffic resources.
[0148] The beneficial effects of the above technologies are as follows: Data is stored internally in the backend system for easy access and statistical analysis, providing effective historical data support for future traffic operation statistics; by utilizing historical data and deep learning algorithms to train a traffic congestion prediction model, it is possible to predict impending congestion at intersections in advance, helping traffic management departments and drivers to take corresponding countermeasures and reduce the occurrence and duration of traffic congestion; by monitoring the overflow status of intersection exits in real time, real-time data such as traffic flow and road conditions can be obtained promptly, which can be used as input to further optimize the accuracy and practicality of the traffic congestion prediction model; based on the output of the traffic congestion prediction model, the impending congestion at intersections can be determined, and effective response plans can be generated accordingly, including adjusting the timing of traffic lights and the display content of variable message signs to guide vehicles to surrounding roads, thus achieving a rational allocation of traffic resources and reducing the impact of traffic congestion; by responding to traffic congestion in a timely manner, the dwell time and queue length at intersections can be reduced, improving traffic efficiency. Simultaneously, rationally guiding vehicles to surrounding roads can reduce the degree of congestion at intersections, lowering vehicle waiting time and energy consumption.
[0149] Example 8:
[0150] Based on Example 1, the traffic signal intersection overflow prevention control method based on color step table is characterized by comprising:
[0151] S1 Geomagnetic Group Congestion Detection Process;
[0152] S2 Signal Control Subsystem Signal Processing Flow.
[0153] Example 9:
[0154] Based on Example 8, S1 includes:
[0155] S11 If two geomagnetic fields in a geomagnetic group occupy the same position for more than N seconds, it is determined to be a slow overflow.
[0156] S12 If a geomagnetic group determines that slow traffic overflow has lasted for N seconds, and slow traffic overflow is detected again, then congestion overflow is determined.
[0157] If N vehicles pass through the geomagnetic field within M seconds, or if 3 / 4 of all geomagnetic fields are not under pressure for more than K seconds, then the overflow is considered to be released.
[0158] The beneficial effects of the above technologies are as follows: the detection of congestion is divided into stages. First, slow overflow is defined, then congestion overflow is defined based on slow overflow, and overflow release is defined based on the first two overflows, making the system plan more reasonable.
[0159] Example 10:
[0160] Based on Example 8, S2 includes:
[0161] The S21 signal control subsystem receives the overflow level reported by the overflow detection subsystem;
[0162] The S22 signal control subsystem queries the overflow detection configuration subsystem based on the overflow level reported by the overflow detection subsystem.
[0163] The S23 signal control subsystem receives the overflow flow direction and corresponding time ratio chain queried by the overflow configuration subsystem;
[0164] The S24 signal control subsystem queries the color step table subsystem based on the received overflow flow direction;
[0165] The S25 signal control subsystem receives the variable steps and step duration returned by the color step table subsystem;
[0166] The S26 signal control subsystem multiplies the configuration value of the corresponding time proportional chain by the step duration to obtain the new signal light state duration, and uses this new duration as a reference to control the signal light state.
[0167] The S27 signal control subsystem reports the overflow level to the data communication subsystem.
[0168] The beneficial effects of the above technologies are: after setting up the signal processing flow, when problems occur in the future, the problem can be located as soon as possible and resolved in the shortest possible time.
[0169] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.
Claims
1. A traffic signal intersection overflow prevention control system based on a color step meter, characterized in that, include: The color step table subsystem is responsible for storing the color step duration and signal light status of different color step steps in the initial state. When the signal control subsystem needs to adjust the signal light status, it queries the variable color step steps and color step duration from the color step table subsystem using the overflow flow direction as a parameter. Color stepping is used to uniformly encode the direction of all vehicle flows at an intersection; The overflow detection configuration subsystem is responsible for configuring the configuration parameters for different overflow levels at each intersection exit, which serve as the basis for the subsequent signal control subsystem to control the traffic lights. The configuration parameters include Level 1, Level 2, and Level 3. Each level includes two parameters: a corresponding time ratio chain and an overflow direction. The overflow direction is used to query the color step and step duration from the color step table subsystem. The corresponding time ratio chain is the step duration correction ratio stored in the color step table subsystem. The overflow direction indicates which direction the vehicles leaving the intersection from this exit mainly come from. The overflow detector subsystem is responsible for detecting the overflow level of vehicles at the exits of each intersection. The overflow level includes slow overflow, congestion overflow, and overflow clearance. At the same time, it reports the detected overflow level to the signal control subsystem. The signal control subsystem is responsible for reading configuration parameters from the overflow detection configuration subsystem based on the overflow level reported by the overflow detector subsystem, and using the corresponding time ratio chain value in the configuration parameters to correct the signal light duration stored in the color step table subsystem, thereby changing the output state of the signal light. The signal control subsystem includes a signal processing module. Based on the color step table subsystem and the overflow detection configuration subsystem, the signal processing module dynamically adjusts the duration of the traffic lights. The signal control subsystem receives the overflow degree output by the overflow detector subsystem, and then uses the overflow degree as a parameter to query the corresponding overflow flow direction and corresponding time ratio chain in the overflow detection configuration subsystem. Based on the overflow flow direction, it finds the corresponding variable step and step duration from the color step table subsystem. Then, it multiplies the step duration by the configuration value of the corresponding time ratio chain to obtain the new traffic light state duration. This new duration is used as a reference to control the traffic light state, while the original step duration remains unchanged. The data communication subsystem is responsible for receiving slow overflow, congestion overflow and overflow resolution data forwarded by the signal control subsystem and reporting them to the backend overflow analysis subsystem via the 5G network. The backend overflow analysis subsystem is responsible for storing historical data on the overflow status of all intersection exits. By using historical data, it can predict the congestion that will occur at each intersection in advance and make effective response plans in advance. Through traffic lights and variable guidance signs, vehicles are guided to surrounding roads, thereby achieving a reasonable allocation of traffic resources. The response plans include adjusting the timing of traffic lights and the display content of variable guidance signs.
2. The traffic signal intersection overflow prevention control system based on a color step meter according to claim 1, characterized in that, The overflow detection configuration subsystem includes: Computer communication module: The computer communicates with the signal control subsystem via RS485, runs the configuration program, and configures the system. Export selection module: responsible for selecting the export points in the four directions (north, south, east, and west) to be configured; Parameter setting module: responsible for configuring the selected output parameter.
3. A traffic signal intersection overflow prevention control system based on a color step meter according to claim 1, characterized in that, The overflow detector subsystem includes: Overflow detection module: Two geomagnetic sensors spaced 4 meters apart in the same lane form a geomagnetic group. Two geomagnetic groups are deployed at the exit of the intersection. The presence of a vehicle above a geomagnetic sensor is determined when two geomagnetic sensors in a geomagnetic group are simultaneously occupied by the front and rear wheels of a vehicle. The congestion level at the exit is classified into three categories based on the duration and frequency of the presence of vehicles above the geomagnetic sensors: Slow overflow: At least one geomagnetic sensor in each of the two geomagnetic groups is simultaneously occupied for more than N seconds; Congestion overflow: Slow overflow continues for N seconds and is detected again; Overflow cleared: N vehicles pass through the geomagnetic sensor within M seconds, or 3 / 4 of all geomagnetic sensors are not occupied for more than K seconds.
4. A traffic signal intersection overflow prevention control system based on a color step meter according to claim 1, characterized in that, The signal control subsystem includes: Signal transmission module: The signal transmission module is responsible for reporting the received congestion information to the data communication subsystem.
5. A traffic signal intersection overflow prevention control system based on a color step meter according to claim 1, characterized in that, include: Link communication module: The overflow detector subsystem and the signal control subsystem communicate via RS485.
6. A traffic signal intersection overflow prevention control system based on a color step meter according to claim 1, characterized in that, The data communication subsystem includes: 5G communication module: Receives slow overflow, congestion overflow and overflow resolution data forwarded by the signal control subsystem and reports them to the backend overflow analysis subsystem via the 5G network; The 5G communication module receives slow traffic overflow, congestion overflow, and overflow resolution data, and then performs data parsing and processing operations to extract key information. The parsing operation includes parsing the data packet header information, verifying data integrity, and verifying data legality. The processing operation includes decoding the data, extracting key information, and performing data transformation. The extracted key information includes the degree of traffic congestion, traffic flow, and road conditions. Using 5G communication technology, the processed data is encapsulated into predefined data packets and transmitted to the backend overflow analysis subsystem via the 5G network, ensuring the secure and real-time transmission of the data packets. The data packet encapsulation process includes adding header information, data compression, and encryption protection to ensure the secure and real-time transmission of the data packets.
7. A traffic signal intersection overflow prevention control system based on a color step meter according to claim 1, characterized in that, The backend overflow analysis subsystem includes: Data analysis module: Stores historical data on the overflow status of all intersection exits. By using historical data, it is possible to predict the congestion situation that will occur at each intersection in advance, make effective response plans in advance, and guide vehicles to surrounding roads through traffic lights and variable guidance signs, thereby achieving the rational allocation of traffic resources. Specifically, the data analysis module extracts historical data on the overflow status of intersection exits, preprocesses the extracted historical data including data cleaning, noise reduction and feature extraction, and uses deep learning algorithms to train the preprocessed historical data to build a traffic congestion prediction model. The system monitors the overflow status of intersection exits in real time and inputs the real-time data into the traffic congestion prediction model. Based on the output of the traffic congestion prediction model, it determines the congestion situation that will occur at the intersection and generates a response plan based on the congestion situation.
8. A method for preventing overflow control at traffic signal intersections based on color step tables, characterized in that, The traffic signal intersection overflow prevention control system based on a color step table as described in claim 1 includes the following steps: S1: Geomagnetic congestion detection process; S2: Signal processing flow of the signal control subsystem.
9. A traffic signal intersection overflow prevention control method based on a color step table according to claim 8, characterized in that, S1 includes: S11: If two geomagnetic fields in a geomagnetic group occupy the same position for more than N seconds, it is determined to be a slow overflow. S12: If a geomagnetic group determines that slow traffic overflow has lasted for N seconds, and then detects slow traffic overflow again, it is determined that congestion overflow has occurred. S13: If N vehicles pass through the geomagnetic field within M seconds, or if 3 / 4 of all geomagnetic fields are not under pressure for more than K seconds, the overflow is determined to be released.
10. A traffic signal intersection overflow prevention control method based on a color step table according to claim 8, characterized in that, S2 includes: S21: The signal control subsystem receives the overflow level reported by the overflow detection subsystem; S22: The signal control subsystem queries the overflow detection configuration subsystem based on the overflow level reported by the overflow detection subsystem; S23: The signal control subsystem receives the overflow flow direction and corresponding time ratio chain queried by the overflow configuration subsystem; S24: The signal control subsystem queries the color step table subsystem based on the received overflow flow; S25: The signal control subsystem receives the variable steps and step duration returned by the color step table subsystem; S26: The signal control subsystem multiplies the configuration value of the corresponding time proportional chain by the step duration to obtain the new signal light state duration length, and uses this new duration length as a reference to control the signal light state. S27: The signal control subsystem reports the overflow level to the data communication subsystem.