Traffic indicating lamp and display control method thereof

Abstract

The application provides a traffic signal and a display control method thereof, which comprises the following steps: collecting real-time traffic flow data of each direction of a road intersection where the traffic signal is located to generate an intersection state feature vector; outputting a phase duration allocation scheme of each direction indicator light based on the comparison between the intersection state feature vector and historical period data by an adaptive control model; sending a driving control signal to each direction arrow directional light according to the phase duration allocation scheme, and driving each direction arrow directional light to sequentially switch the corresponding passing or non-passing light state according to the allocated phase duration; comparing the output signal of the driving control module with a standard signal, and triggering a fault isolation instruction when the deviation exceeds a preset threshold, switching the indicator light of the corresponding direction to a safe default light state, and reporting the fault position and type to an upper computer; and receiving the update parameters issued by the upper computer, and refreshing the adaptive control model according to the update parameters. The application realizes dynamic adaptive allocation of phase duration and improvement of passing efficiency.

Description

Technical Field

[0001] This invention relates to the field of smart city technology, specifically to a traffic indicator light and its display control method. Background Technology

[0002] With the acceleration of urbanization and the continuous increase in the number of motor vehicles, traffic lights, as the core facility for road network traffic control, directly determine the efficiency of road network traffic and the level of travel safety through the rationality of their timing schemes.

[0003] Currently, most mainstream traffic lights adopt a fixed timing control mode, which pre-sets a fixed phase duration scheme for different time periods and intersections, and cycles through the signal light display status according to a fixed sequence. This type of control method has a simple structure and low deployment and maintenance costs, but it is completely unable to adapt to the dynamic fluctuations of real-time traffic flow. In scenarios such as morning and evening rush hours, holidays, and sudden traffic accidents, it is very easy to encounter problems such as some directions having no green light or insufficient green light duration, resulting in excessively long queues at intersections, local congestion, and even the transmission of road network congestion. It cannot meet the needs of dynamic traffic management and has low traffic efficiency. Summary of the Invention

[0004] Based on the above-mentioned problems, this invention proposes a traffic indicator light and its display control method. Through this invention, dynamic adaptive allocation of the phase duration of the traffic indicator light is realized, ensuring reliable system operation and improving the overall traffic efficiency of the road network.

[0005] In view of this, one aspect of the present invention proposes a traffic light display control method, wherein the traffic light is provided with a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module; the traffic light display control method includes: The data acquisition module collects real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmits the collected data to the microcontroller unit. The microcontroller unit performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction. The microcontroller unit inputs the intersection state feature vector into its internally deployed adaptive control model, which dynamically outputs a phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data. According to the phase duration allocation scheme, the drive control module sends drive control signals carrying light state type and duration information to each directional arrow guide light, driving each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration. The online detection module performs real-time detection on the output signal of the drive control module, compares the detected output signal with the standard signal, and when the deviation exceeds the preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters so that the traffic lights at each intersection can continue to operate in coordination based on the latest control strategy.

[0006] Optionally, the data acquisition module acquires real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmits the acquired data to the microcontroller unit. The microcontroller unit then performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction. This step includes: The image sensor in the data acquisition module continuously acquires images of the driving areas in each direction of the intersection where the traffic lights are located, and obtains real-time intersection image frame sequences in each direction. The data acquisition module performs moving target detection on the image frame sequence, identifies vehicle targets in image frames in each direction, and counts the number of vehicles passing through the preset detection area in each direction per unit time to obtain the original flow count value in each direction. The microcontroller unit receives the original flow count value, filters the original flow count value to remove abnormal and abrupt data, and obtains smooth flow data in each direction; The microcontroller unit calculates the traffic flow density parameters for each direction based on the smoothed traffic flow data and the corresponding driving area area. The microcontroller unit integrates the traffic flow density parameters in each direction to generate an intersection state feature vector that characterizes the traffic state in each direction at the current intersection, which is then used for the calculation of the subsequent phase duration allocation scheme.

[0007] Optionally, the microcontroller unit inputs the intersection state feature vector into its internally deployed adaptive control model, and the adaptive control model dynamically outputs the phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data, including the following steps: The microcontroller unit performs similarity matching between the current intersection state feature vector and the historical feature vectors of the same type of intersection state in the same period stored in its internal historical period database, and retrieves the historical period record that is most similar to the current state. The adaptive control model uses the phase duration allocation results corresponding to the historical cycle records as the initial reference scheme, and combines the deviation between the current intersection state feature vector and the historical feature vector to correct the phase duration of each direction in the initial reference scheme, thereby obtaining a candidate phase duration allocation scheme. The microcontroller unit performs constraint verification on the candidate phase duration allocation scheme, determines whether the phase duration of each direction meets the preset minimum passage time and maximum waiting time limit, and performs boundary correction on the phase duration of directions that do not meet the constraints. The microcontroller unit uses the candidate phase duration allocation scheme after constraint verification as the phase duration allocation scheme for the current control cycle and outputs it to the drive control module for execution. After the current control cycle ends, the microcontroller unit stores the intersection state feature vector of this cycle and the actual phase duration allocation scheme as a new historical cycle record in the historical cycle database to continuously update the decision basis of the adaptive control model.

[0008] Optionally, the step of the drive control module sending drive control signals carrying light state type and duration information to each directional arrow guide light according to the phase duration allocation scheme, and driving each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration, includes: The microcontroller unit generates a lamp state switching sequence according to the phase duration allocation scheme and the phase order of each direction. Each entry in the lamp state switching sequence includes a direction identifier, lamp state type and corresponding duration information. The drive control module sends drive control signals to the drive circuits of the arrow guide lights in the corresponding directions in the order of the lamp state switching sequence. The drive control signals carry the lamp state type and duration information. After receiving the drive control signal, the drive circuit of the arrow guide light in the corresponding direction connects the corresponding LED light group circuit according to the light state type, lights up the pass arrow or the no-pass indicator light state, and starts the local timer; Before the local timer reaches the duration, the drive control module sends a countdown update signal to the arrow guide light in the current illuminated direction, driving the countdown display unit of the arrow guide light in that direction to synchronously refresh the remaining duration display; When the local timer reaches the duration, the drive control module sends a light-off signal to the current direction and a new drive control signal to the next direction according to the next item in the light state switching sequence, thereby completing the light state switching between adjacent directions. After completing the execution of all entries in the lamp state switching sequence, the drive control module returns a confirmation signal indicating the completion of the current control cycle to the microcontroller unit, triggering the microcontroller unit to start the phase duration allocation calculation for the next control cycle.

[0009] Optionally, the online detection module performs real-time detection of the output signal of the drive control module, compares the detected output signal with a standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to a safe default state, and the communication module reports the fault location and type to the host computer. This includes the following steps: The online detection module continuously samples the drive signals output by the drive control module to the arrow guide lights in each direction, obtains the current drive output sampling value in each direction, and reads the standard drive signal reference value corresponding to the current light state type from the internally stored standard signal library. The online detection module compares the drive output sample value with the standard drive signal reference value in each direction, calculates the deviation value between the two, and determines whether the deviation value exceeds a preset threshold. When the deviation value does not exceed the preset threshold, the online detection module returns confirmation information that the driving state in that direction is normal to the microcontroller unit, and the drive control module continues to execute according to the current lamp state switching sequence; When the deviation value exceeds a preset threshold, the online detection module reports a fault detection result containing a fault direction identifier and a deviation feature to the microcontroller unit. The microcontroller unit classifies the fault type based on the deviation feature to obtain a fault type identifier. The microcontroller unit triggers a fault isolation command based on the fault direction identifier. After receiving the fault isolation command, the drive control module interrupts the current drive output for the corresponding fault direction and switches the arrow guide light in that direction to a preset safe default light state. The communication module sends a fault reporting data packet containing the fault direction identifier, fault type identifier, and current timestamp to the host computer, so that the host computer can record the fault event and trigger the corresponding maintenance scheduling process.

[0010] Optionally, the communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters to ensure that traffic lights at each intersection continue to operate collaboratively based on the latest control strategy. This includes the following steps: The communication module periodically reports the operation status data packets of the traffic lights at this intersection to the host computer. The operation status data packets include the intersection identifier, the current historical period database summary, and the recent phase execution effect evaluation value, so that the host computer can understand the operation status of each intersection. Based on the operating status data packets reported by each intersection and combined with the overall road network collaborative scheduling strategy, the host computer generates an update parameter packet for each intersection. The update parameters include the intersection identifier, the updated similarity matching weight parameters, the phase duration constraint boundary parameters, and the road network collaborative bias parameters. The communication module receives the update parameter packet sent by the host computer, verifies that the intersection identifier in the update parameter packet is consistent with the current intersection identifier, and then transmits the update parameter packet to the microcontroller unit. After the microcontroller unit completes the current control cycle and receives the execution completion confirmation signal, it refreshes the corresponding similarity matching weights, phase duration constraint boundaries, and road network cooperative biases in the adaptive control model item by item according to the parameters in the update parameter package, thereby completing the model parameter update. After the microcontroller unit completes the model parameter update, it uses the updated adaptive control model as a basis to enable the new parameters in the phase duration allocation calculation of the next control cycle, and feeds back the model update completion status to the host computer through the communication module. The host computer summarizes the model update completion status feedback from each intersection, confirms that the traffic lights at each intersection in the road network have completed parameter synchronization, records this collaborative update event, and continuously monitors the subsequent operating status data packets of each intersection to evaluate the effect of this update.

[0011] Optionally, the microcontroller unit calculates the traffic flow density parameter in the d-th direction using the following formula. :

[0012] in, This is the smoothed vehicle count value passing through the detection area in the current sampling period in the d-th direction; Let be the area of ​​the driving area corresponding to the d-th direction; The vehicle type correction coefficient in the d-th direction is calculated in real time based on the proportion of each vehicle type in the image recognition results, and a weighted correction is applied to cases where large vehicles occupy a larger equivalent space. The speed congestion sensitivity coefficient in the d-th direction reflects the amplification of the actual traffic pressure caused by the decrease in vehicle speed in that direction. It is calibrated and stored by the microcontroller unit based on historical operating data. The average vehicle speed estimated from the image frame sequence within the current sampling period in the d-th direction; The free-flow reference speed in the d-th direction represents the normal driving speed in that direction under uncongested conditions and is stored inside the microcontroller unit. The time period weighting coefficient is used to distinguish the differences in the sensitivity of traffic flow density perception during different time periods such as morning and evening peak hours, off-peak hours, and nighttime. It is issued by the host computer based on historical time period patterns and stored in the microcontroller unit.

[0013] Optionally, the adaptive control model calculates the current intersection state feature vector using the following formula. Compared with the h-th historical feature vector in the historical periodic database Weighted similarity between :

[0014] in, The traffic flow density parameter in the d-th direction of the current intersection state feature vector; Let be the traffic flow density parameter in the d-th direction of the h-th historical feature vector; The directional importance weight for the d-th direction is issued by the host computer based on the road network collaborative scheduling strategy; D is the total number of directions detected at the intersection. Let be the time decay function. The time interval between the current moment and the moment the h-th historical record was stored. ,in This is the time decay rate, used to gradually reduce the contribution of older historical records to similarity over time. The fault penalty coefficient is used to control the reduction of similarity based on fault execution experiences in the historical record, and is stored in the adaptive control model. This represents the number of faults that occurred within the control cycle corresponding to the h-th historical record. This is the maximum number of single-cycle failures in the historical periodic database, used for... Normalize.

[0015] Optionally, the adaptive control model calculates the candidate phase duration after correction in the d-th direction using the following formula. :

[0016] in, The reference phase duration in the d-th direction of the initial reference scheme; To correct the sensitivity coefficient and control the response amplitude of phase duration to traffic density deviation, it is updated remotely by the host computer. The traffic flow density parameter in the d-th direction of the current intersection state feature vector; The traffic flow density parameter in the d-th direction of the historical feature vector corresponding to the initial reference scheme; D is the total number of directions detected at the intersection; The total phase duration for this control cycle is determined by the host computer based on the road network coordination strategy. The queuing dissipation weight in the d-th direction reflects the priority of queuing backlog in that direction for phase duration compensation and is stored in the adaptive control model. The actual number of vehicles queuing in the d-th direction at the end of the previous control cycle is collected and stored by the data acquisition module at the end of the previous cycle. Let d be the maximum allowed number of vehicles queuing in the d-th direction, used for... Perform normalization; This is a phase duration smoothing coefficient used to suppress excessive fluctuations in phase duration between adjacent control cycles; This represents the actual execution phase duration in the d-th direction during the previous control cycle.

[0017] Another aspect of the present invention provides a traffic indicator light for executing a traffic indicator light display control method, comprising: a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module; wherein: The data acquisition module is configured to: acquire real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmit the acquired data to the microcontroller unit, which then performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction; The microcontroller unit is configured to input the intersection state feature vector into its internally deployed adaptive control model, and the adaptive control model dynamically outputs a phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data. The drive control module is configured to: send drive control signals carrying light state type and duration information to each directional arrow guide light according to the phase duration allocation scheme, and drive each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration. The online detection module is configured to: detect the output signal of the drive control module in real time, compare the detected output signal with the standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module is configured to receive updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters so that the traffic lights at each intersection can continue to operate collaboratively based on the latest control strategy.

[0018] The traffic indicator light, employing the technical solution of this invention, is equipped with a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module. The traffic indicator light display control method includes: the data acquisition module acquiring real-time traffic flow data in each direction at the intersection where the traffic indicator light is located, and transmitting the acquired data to the microcontroller unit; the microcontroller unit performing preprocessing to generate an intersection state feature vector containing traffic flow density parameters for each direction; the microcontroller unit inputting the intersection state feature vector into its internally deployed adaptive control model; the adaptive control model dynamically outputting a phase duration allocation scheme for each direction indicator light based on a comparison of the current intersection state feature vector with historical periodic data; and the drive control module, based on the... The phase duration allocation scheme sends drive control signals carrying light state type and duration information to the directional arrow lights in each direction, driving each directional arrow light to sequentially switch between the corresponding pass or stop light states according to the allocated phase duration. The online detection module performs real-time detection on the output signal of the drive control module, compares the detected output signal with a standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the corresponding directional indicator light to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters, so that the traffic lights at each intersection continue to operate collaboratively based on the latest control strategy. By combining adaptive traffic perception with online detection capabilities, dynamic adaptive allocation of traffic light phase duration is achieved. At the same time, real-time fault detection and safe redundancy switching mechanisms ensure reliable system operation, and multi-intersection collaborative scheduling improves the overall traffic efficiency of the road network. Attached Figure Description

[0019] Figure 1 This is a flowchart of a traffic light display control method provided in one embodiment of the present invention; Figure 2 This is a schematic block diagram of a traffic indicator light provided in one embodiment of the present invention. Detailed Implementation

[0020] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0021] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0022] The terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or apparatuses.

[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0024] The following reference Figures 1 to 2 This invention describes a traffic indicator light and its display control method according to some embodiments of the present invention.

[0025] like Figure 1 As shown, one embodiment of the present invention provides a traffic light display control method, wherein the traffic light is provided with a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module; the traffic light display control method includes: The data acquisition module collects real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmits the collected data to the microcontroller unit. The microcontroller unit performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction. The microcontroller unit inputs the intersection state feature vector into its internally deployed adaptive control model, which dynamically outputs a phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data. According to the phase duration allocation scheme, the drive control module sends drive control signals carrying light state type and duration information to each directional arrow guide light, driving each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration. The online detection module performs real-time detection on the output signal of the drive control module, compares the detected output signal with the standard signal, and when the deviation exceeds the preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters so that the traffic lights at each intersection can continue to operate in coordination based on the latest control strategy.

[0026] The technical solution adopted in this embodiment combines adaptive traffic perception with online detection capabilities to achieve dynamic adaptive allocation of traffic light phase duration. At the same time, it ensures reliable system operation through real-time fault detection and safety redundancy switching mechanisms, and improves the overall traffic efficiency of the road network through multi-intersection collaborative scheduling.

[0027] In some possible embodiments of the present invention, the data acquisition module acquires real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmits the acquired data to the microcontroller unit. The microcontroller unit performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction, including: The image sensor in the data acquisition module continuously acquires images of the driving areas in each direction of the intersection where the traffic lights are located, and obtains real-time intersection image frame sequences in each direction. The data acquisition module performs moving target detection on the image frame sequence, identifies vehicle targets in image frames in each direction, and counts the number of vehicles passing through the preset detection area in each direction per unit time to obtain the original flow count value in each direction. The microcontroller unit receives the original flow count value, filters the original flow count value to remove abnormal and abrupt data, and obtains smooth flow data in each direction; The microcontroller unit calculates the traffic flow density parameters for each direction based on the smoothed traffic flow data and the corresponding driving area area. The microcontroller unit integrates the traffic flow density parameters in each direction to generate an intersection state feature vector that characterizes the traffic state in each direction at the current intersection, which is then used for the calculation of the subsequent phase duration allocation scheme.

[0028] This embodiment acquires objective traffic flow data through image acquisition and moving target detection. After filtering to eliminate abnormal interference, the data is transformed into a structured intersection state feature vector, providing accurate and reliable input for adaptive phase decision-making and improving the accuracy and stability of control decisions.

[0029] In some possible embodiments of the present invention, the microcontroller unit inputs the intersection state feature vector into its internally deployed adaptive control model, and the adaptive control model dynamically outputs a phase duration allocation scheme for each direction indicator light based on a comparison between the current intersection state feature vector and historical periodic data, including: The microcontroller unit performs similarity matching between the current intersection state feature vector and the historical feature vectors of the same type of intersection state in the same period stored in its internal historical period database, and retrieves the historical period record that is most similar to the current state. The adaptive control model uses the phase duration allocation results corresponding to the historical cycle records as the initial reference scheme, and combines the deviation between the current intersection state feature vector and the historical feature vector to correct the phase duration of each direction in the initial reference scheme, thereby obtaining a candidate phase duration allocation scheme. The microcontroller unit performs constraint verification on the candidate phase duration allocation scheme, determines whether the phase duration of each direction meets the preset minimum passage time and maximum waiting time limit, and performs boundary correction on the phase duration of directions that do not meet the constraints. The microcontroller unit uses the candidate phase duration allocation scheme after constraint verification as the phase duration allocation scheme for the current control cycle and outputs it to the drive control module for execution. After the current control cycle ends, the microcontroller unit stores the intersection state feature vector of this cycle and the actual phase duration allocation scheme as a new historical cycle record in the historical cycle database to continuously update the decision basis of the adaptive control model.

[0030] In this embodiment, a phase duration allocation scheme is dynamically generated by combining historical similar state retrieval with deviation correction. The scheme is then verified by constraints to ensure compliance. At the same time, the execution results are continuously written back to the historical database, allowing the control model to continuously self-optimize as it accumulates operational data, thereby improving the rationality of phase allocation and the long-term adaptability of the system.

[0031] In some possible embodiments of the present invention, the step of the drive control module sending drive control signals carrying light state type and duration information to each directional arrow guide light according to the phase duration allocation scheme, and driving each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration, includes: The microcontroller unit generates a lamp state switching sequence according to the phase duration allocation scheme and the phase order of each direction. Each entry in the lamp state switching sequence includes a direction identifier, lamp state type and corresponding duration information. The drive control module sends drive control signals to the drive circuits of the arrow guide lights in the corresponding directions in the order of the lamp state switching sequence. The drive control signals carry the lamp state type and duration information. After receiving the drive control signal, the drive circuit of the arrow guide light in the corresponding direction connects the corresponding LED light group circuit according to the light state type, lights up the pass arrow or the no-pass indicator light state, and starts the local timer; Before the local timer reaches the duration, the drive control module sends a countdown update signal to the arrow guide light in the current illuminated direction, driving the countdown display unit of the arrow guide light in that direction to synchronously refresh the remaining duration display; When the local timer reaches the duration, the drive control module sends a light-off signal to the current direction and a new drive control signal to the next direction according to the next item in the light state switching sequence, thereby completing the light state switching between adjacent directions. After completing the execution of all entries in the lamp state switching sequence, the drive control module returns a confirmation signal indicating the completion of the current control cycle to the microcontroller unit, triggering the microcontroller unit to start the phase duration allocation calculation for the next control cycle.

[0032] In this embodiment, the directional arrow guide lights are driven to switch in an orderly manner through a structured light state switching sequence. Combined with countdown synchronization refresh, the driver's perception experience is improved. The control loop is closed by periodically executing confirmation signals, which ensures the timing accuracy of the drive execution and the seamless connection between each control cycle.

[0033] In some possible embodiments of the present invention, the online detection module performs real-time detection of the output signal of the drive control module, compares the detected output signal with a standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to a safe default state, and the communication module reports the fault location and type to the host computer. This includes the following steps: The online detection module continuously samples the drive signals output by the drive control module to the arrow guide lights in each direction, obtains the current drive output sampling value in each direction, and reads the standard drive signal reference value corresponding to the current light state type from the internally stored standard signal library. The online detection module compares the drive output sample value with the standard drive signal reference value in each direction, calculates the deviation value between the two, and determines whether the deviation value exceeds a preset threshold. When the deviation value does not exceed the preset threshold, the online detection module returns confirmation information that the driving state in that direction is normal to the microcontroller unit, and the drive control module continues to execute according to the current lamp state switching sequence; When the deviation value exceeds a preset threshold, the online detection module reports a fault detection result containing a fault direction identifier and a deviation feature to the microcontroller unit. The microcontroller unit classifies the fault type based on the deviation feature to obtain a fault type identifier. The microcontroller unit triggers a fault isolation command based on the fault direction identifier. After receiving the fault isolation command, the drive control module interrupts the current drive output for the corresponding fault direction and switches the arrow guide light in that direction to a preset safe default light state. The communication module sends a fault reporting data packet containing the fault direction identifier, fault type identifier, and current timestamp to the host computer, so that the host computer can record the fault event and trigger the corresponding maintenance scheduling process.

[0034] In this embodiment, by continuously sampling the drive output signal online and comparing it with the standard value, real-time perception of drive anomalies and automatic classification of fault types are realized. Combined with fault isolation and safe default light state switching, the safety of traffic at the intersection is ensured. Furthermore, the structured fault reporting provides an accurate basis for the timely maintenance response of the host computer.

[0035] In some possible embodiments of the present invention, the communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters to enable the traffic lights at each intersection to continuously operate in coordination based on the latest control strategy, including: The communication module periodically reports the operation status data packets of the traffic lights at this intersection to the host computer. The operation status data packets include the intersection identifier, the current historical period database summary, and the recent phase execution effect evaluation value, so that the host computer can understand the operation status of each intersection. Based on the operating status data packets reported by each intersection and combined with the overall road network collaborative scheduling strategy, the host computer generates an update parameter packet for each intersection. The update parameters include the intersection identifier, the updated similarity matching weight parameters, the phase duration constraint boundary parameters, and the road network collaborative bias parameters. The communication module receives the update parameter packet sent by the host computer, verifies that the intersection identifier in the update parameter packet is consistent with the current intersection identifier, and then transmits the update parameter packet to the microcontroller unit. After the microcontroller unit completes the current control cycle and receives the execution completion confirmation signal, it refreshes the corresponding similarity matching weights, phase duration constraint boundaries, and road network cooperative biases in the adaptive control model item by item according to the parameters in the update parameter package, thereby completing the model parameter update. After the microcontroller unit completes the model parameter update, it uses the updated adaptive control model as a basis to enable the new parameters in the phase duration allocation calculation of the next control cycle, and feeds back the model update completion status to the host computer through the communication module. The host computer summarizes the model update completion status feedback from each intersection, confirms that the traffic lights at each intersection in the road network have completed parameter synchronization, records this collaborative update event, and continuously monitors the subsequent operating status data packets of each intersection to evaluate the effect of this update.

[0036] In this embodiment, through a complete closed-loop process of reporting operating status, distributing remote parameters, refreshing the model at periodic intervals, and providing update confirmation feedback, the orderly remote updating of the adaptive control model at each intersection is realized, ensuring the consistency and coordination of the control strategies at each intersection within the road network, and enabling the overall traffic efficiency of the road network to continuously improve with the accumulation of operational data.

[0037] In some possible embodiments of the present invention, the microcontroller unit calculates the traffic flow density parameter in the d-th direction according to the following formula. :

[0038] in, This is the smoothed vehicle count value passing through the detection area in the current sampling period in the d-th direction; Let be the area of ​​the driving area corresponding to the d-th direction; The vehicle type correction coefficient in the d-th direction is calculated in real time based on the proportion of each vehicle type in the image recognition results, and a weighted correction is applied to cases where large vehicles occupy a larger equivalent space. The speed congestion sensitivity coefficient in the d-th direction reflects the amplification of the actual traffic pressure caused by the decrease in vehicle speed in that direction. It is calibrated and stored by the microcontroller unit based on historical operating data. The average vehicle speed estimated from the image frame sequence within the current sampling period in the d-th direction; The free-flow reference speed in the d-th direction represents the normal driving speed in that direction under uncongested conditions and is stored inside the microcontroller unit. The time period weighting coefficient is used to distinguish the differences in the sensitivity of traffic flow density perception during different time periods such as morning and evening peak hours, off-peak hours, and nighttime. It is issued by the host computer based on historical time period patterns and stored in the microcontroller unit.

[0039] In some possible embodiments of the present invention, the adaptive control model calculates the current intersection state feature vector using the following formula. Compared with the h-th historical feature vector in the historical periodic database Weighted similarity between :

[0040] in, The traffic flow density parameter in the d-th direction of the current intersection state feature vector; Let be the traffic flow density parameter in the d-th direction of the h-th historical feature vector; The directional importance weight for the d-th direction is issued by the host computer based on the road network collaborative scheduling strategy; D is the total number of directions detected at the intersection. Let be the time decay function. The time interval between the current moment and the moment the h-th historical record was stored. ,in This is the time decay rate, used to gradually reduce the contribution of older historical records to similarity over time. The fault penalty coefficient is used to control the reduction of similarity based on fault execution experiences in the historical record, and is stored in the adaptive control model. This represents the number of faults that occurred within the control cycle corresponding to the h-th historical record. This is the maximum number of single-cycle failures in the historical periodic database, used for... Normalize.

[0041] In some possible embodiments of the present invention, the adaptive control model calculates the candidate phase duration after correction in the d-th direction using the following formula. :

[0042] in, The reference phase duration in the d-th direction of the initial reference scheme; To correct the sensitivity coefficient and control the response amplitude of phase duration to traffic density deviation, it is updated remotely by the host computer. The traffic flow density parameter in the d-th direction of the current intersection state feature vector; The traffic flow density parameter in the d-th direction of the historical feature vector corresponding to the initial reference scheme; D is the total number of directions detected at the intersection; The total phase duration for this control cycle is determined by the host computer based on the road network coordination strategy. The queuing dissipation weight in the d-th direction reflects the priority of queuing backlog in that direction for phase duration compensation and is stored in the adaptive control model. The actual number of vehicles queuing in the d-th direction at the end of the previous control cycle is collected and stored by the data acquisition module at the end of the previous cycle. Let d be the maximum allowed number of vehicles queuing in the d-th direction, used for... Perform normalization; This is a phase duration smoothing coefficient used to suppress excessive fluctuations in phase duration between adjacent control cycles; This represents the actual execution phase duration in the d-th direction during the previous control cycle.

[0043] In some possible embodiments of the present invention, the deviation value of the online detection module for the drive output signal in the d-th direction is... Calculate using the following formula:

[0044] in, The online detection module drives the output of the sampled value in the d-th direction collected at the m-th sampling point; is the reference value of the standard drive signal for the m-th sampling point in the standard signal library that corresponds to the current lamp state type; M is the total number of sampling points in a single detection window; The temporal position weight of the m-th sampling point is used to assign higher weights to sampling points near the moment of lamp state switching, so as to enhance the detection sensitivity of driving anomalies at the switching moment. It is pre-calculated and stored by the online detection module based on the temporal position of the sampling point within the detection window. The cumulative fault sensitivity coefficient is used to control the amplification of the current deviation value by the number of historical cumulative faults, reflecting the characteristic that the device deteriorates faster as the number of cumulative faults increases, and is stored inside the online detection module. The cumulative number of fault triggers in the d-th direction drive circuit since the last maintenance is counted by the microcontroller unit and transmitted to the online detection module. This represents the maximum permissible cumulative number of faults in the d-th direction drive circuit, used for... Normalize.

[0045] In some possible embodiments of the present invention, the host computer calculates the phase execution efficiency evaluation value of the d-th direction in the c-th control cycle using the following formula. :

[0046] in, The actual effective passage time in the d-th direction within the c-th control cycle; The allocated phase duration in the d-th direction within the c-th control cycle; The number of vehicles queuing in the d direction at the end of the c-th control cycle; This represents the maximum allowed number of vehicles queuing in the d-th direction; This is the balance adjustment coefficient, with a value range of [0,1]. When the evaluation value approaches 0, it approaches the product of the two indicators, emphasizing that both indicators must be excellent simultaneously; when When the value approaches 1, the evaluation value approaches the arithmetic mean of the two indicators, which is more lenient for cases where one indicator is poor. The settings are dynamically configured by the host computer based on the overall operational goals of the road network. The driving quality penalty coefficient is used to control the reduction of the efficiency evaluation value by the degree of abnormality in the driving output, and is stored in the host computer. The deviation values ​​of all detection windows in the d-th direction within the c-th control cycle. The periodic average value is statistically analyzed by the online detection module and then reported to the host computer through the communication module; The fault trigger threshold for the drive output deviation in the d-th direction is used to... Normalize.

[0047] Please refer to Figure 2 Another embodiment of the present invention provides a traffic indicator light for executing a traffic indicator light display control method, comprising: a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module; wherein: The data acquisition module is configured to: acquire real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmit the acquired data to the microcontroller unit, which then performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction; The microcontroller unit is configured to input the intersection state feature vector into its internally deployed adaptive control model, and the adaptive control model dynamically outputs a phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data. The drive control module is configured to: send drive control signals carrying light state type and duration information to each directional arrow guide light according to the phase duration allocation scheme, and drive each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration. The online detection module is configured to: detect the output signal of the drive control module in real time, compare the detected output signal with the standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module is configured to receive updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters so that the traffic lights at each intersection can continue to operate collaboratively based on the latest control strategy.

[0048] It should be known that, Figure 2The block diagram of the traffic indicator shown is for illustrative purposes only, and the number of modules shown does not limit the scope of protection of this invention. The traffic indicator provided in this embodiment can be used to execute various embodiments of the corresponding traffic indicator display control method. For specific implementation details, please refer to the descriptions of the respective method embodiments, which will not be repeated here.

[0049] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0050] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0051] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical or other forms.

[0052] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0053] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0054] If the integrated units described above are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0055] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include: flash drive, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0056] The embodiments of this application have been described in detail above. Specific examples have been used to illustrate the principles and implementation methods of this application. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of this application. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. Therefore, the content of this specification should not be construed as a limitation of this application.

[0057] While the present invention has been disclosed above, it is not limited thereto. Any person skilled in the art can easily conceive of variations or substitutions without departing from the spirit and scope of the present invention, and various modifications and alterations can be made, including combinations of the different functions and implementation steps described above, as well as software and hardware implementation methods, all of which are within the protection scope of the present invention.

Claims

1. A traffic light indicator display control method, characterized in that, The traffic light indicator includes a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module; the traffic light indicator display control method includes: The data acquisition module collects real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmits the collected data to the microcontroller unit. The microcontroller unit performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction. The microcontroller unit inputs the intersection state feature vector into its internally deployed adaptive control model, which dynamically outputs a phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data. According to the phase duration allocation scheme, the drive control module sends drive control signals carrying light state type and duration information to each directional arrow guide light, driving each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration. The online detection module performs real-time detection on the output signal of the drive control module, compares the detected output signal with the standard signal, and when the deviation exceeds the preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters so that the traffic lights at each intersection can continue to operate in coordination based on the latest control strategy.

2. The traffic light indicator display control method according to claim 1, characterized in that, The data acquisition module collects real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmits the collected data to the microcontroller unit. The microcontroller unit performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction, including: The image sensor in the data acquisition module continuously acquires images of the driving areas in each direction of the intersection where the traffic lights are located, and obtains real-time intersection image frame sequences in each direction. The data acquisition module performs moving target detection on the image frame sequence, identifies vehicle targets in image frames in each direction, and counts the number of vehicles passing through the preset detection area in each direction per unit time to obtain the original flow count value in each direction. The microcontroller unit receives the original flow count value, filters the original flow count value to remove abnormal and abrupt data, and obtains smooth flow data in each direction; The microcontroller unit calculates the traffic flow density parameters for each direction based on the smoothed traffic flow data and the corresponding driving area area. The microcontroller unit integrates the traffic flow density parameters in each direction to generate an intersection state feature vector that characterizes the traffic state in each direction at the current intersection, which is then used for the calculation of the subsequent phase duration allocation scheme.

3. The traffic light indicator display control method according to claim 2, characterized in that, The microcontroller unit inputs the intersection state feature vector into its internally deployed adaptive control model. The adaptive control model then dynamically outputs a phase duration allocation scheme for each direction indicator light based on a comparison of the current intersection state feature vector with historical periodic data. This includes the following steps: The microcontroller unit performs similarity matching between the current intersection state feature vector and the historical feature vectors of the same type of intersection state in the same period stored in its internal historical period database, and retrieves the historical period record that is most similar to the current state. The adaptive control model uses the phase duration allocation results corresponding to the historical cycle records as the initial reference scheme, and combines the deviation between the current intersection state feature vector and the historical feature vector to correct the phase duration of each direction in the initial reference scheme, thereby obtaining a candidate phase duration allocation scheme. The microcontroller unit performs constraint verification on the candidate phase duration allocation scheme, determines whether the phase duration of each direction meets the preset minimum passage time and maximum waiting time limit, and performs boundary correction on the phase duration of directions that do not meet the constraints. The microcontroller unit uses the candidate phase duration allocation scheme after constraint verification as the phase duration allocation scheme for the current control cycle and outputs it to the drive control module for execution. After the current control cycle ends, the microcontroller unit stores the intersection state feature vector of this cycle and the actual phase duration allocation scheme as a new historical cycle record in the historical cycle database to continuously update the decision basis of the adaptive control model.

4. The traffic light indicator display control method according to claim 3, characterized in that, The drive control module, based on the phase duration allocation scheme, sends drive control signals carrying light state type and duration information to each directional arrow guide light, driving each directional arrow guide light to sequentially switch between the corresponding pass or stop light states according to the allocated phase duration. This includes the following steps: The microcontroller unit generates a lamp state switching sequence according to the phase duration allocation scheme and the phase order of each direction. Each entry in the lamp state switching sequence includes a direction identifier, lamp state type and corresponding duration information. The drive control module sends drive control signals to the drive circuits of the arrow guide lights in the corresponding directions in the order of the lamp state switching sequence. The drive control signals carry the lamp state type and duration information. After receiving the drive control signal, the drive circuit of the arrow guide light in the corresponding direction connects the corresponding LED light group circuit according to the light state type, lights up the pass arrow or the no-pass indicator light state, and starts the local timer; Before the local timer reaches the duration, the drive control module sends a countdown update signal to the arrow guide light in the current illuminated direction, driving the countdown display unit of the arrow guide light in that direction to synchronously refresh the remaining duration display; When the local timer reaches the duration, the drive control module sends a light-off signal to the current direction and a new drive control signal to the next direction according to the next item in the light state switching sequence, thereby completing the light state switching between adjacent directions. After completing the execution of all entries in the lamp state switching sequence, the drive control module returns a confirmation signal indicating the completion of the current control cycle to the microcontroller unit, triggering the microcontroller unit to start the phase duration allocation calculation for the next control cycle.

5. The traffic light indicator display control method according to claim 4, characterized in that, The online detection module performs real-time detection of the output signal of the drive control module, compares the detected output signal with a standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default state, and the communication module reports the fault location and type to the host computer. This process includes: The online detection module continuously samples the drive signals output by the drive control module to the arrow guide lights in each direction, obtains the current drive output sampling value in each direction, and reads the standard drive signal reference value corresponding to the current light state type from the internally stored standard signal library. The online detection module compares the drive output sample value with the standard drive signal reference value in each direction, calculates the deviation value between the two, and determines whether the deviation value exceeds a preset threshold. When the deviation value does not exceed the preset threshold, the online detection module returns confirmation information that the driving state in that direction is normal to the microcontroller unit, and the drive control module continues to execute according to the current lamp state switching sequence; When the deviation value exceeds a preset threshold, the online detection module reports a fault detection result containing a fault direction identifier and a deviation feature to the microcontroller unit. The microcontroller unit classifies the fault type based on the deviation feature to obtain a fault type identifier. The microcontroller unit triggers a fault isolation command based on the fault direction identifier. After receiving the fault isolation command, the drive control module interrupts the current drive output for the corresponding fault direction and switches the arrow guide light in that direction to a preset safe default light state. The communication module sends a fault reporting data packet containing the fault direction identifier, fault type identifier, and current timestamp to the host computer, so that the host computer can record the fault event and trigger the corresponding maintenance scheduling process.

6. The traffic light indicator display control method according to claim 5, characterized in that, The communication module receives updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters to ensure that traffic lights at each intersection continue to operate collaboratively based on the latest control strategy. This includes the following steps: The communication module periodically reports the operation status data packets of the traffic lights at this intersection to the host computer. The operation status data packets include the intersection identifier, the current historical period database summary, and the recent phase execution effect evaluation value, so that the host computer can understand the operation status of each intersection. Based on the operating status data packets reported by each intersection and combined with the overall road network collaborative scheduling strategy, the host computer generates an update parameter packet for each intersection. The update parameters include the intersection identifier, the updated similarity matching weight parameters, the phase duration constraint boundary parameters, and the road network collaborative bias parameters. The communication module receives the update parameter packet sent by the host computer, verifies that the intersection identifier in the update parameter packet is consistent with the current intersection identifier, and then transmits the update parameter packet to the microcontroller unit. After the microcontroller unit completes the current control cycle and receives the execution completion confirmation signal, it refreshes the corresponding similarity matching weights, phase duration constraint boundaries, and road network cooperative biases in the adaptive control model item by item according to the parameters in the update parameter package, thereby completing the model parameter update. After the microcontroller unit completes the model parameter update, it uses the updated adaptive control model as a basis to enable the new parameters in the phase duration allocation calculation of the next control cycle, and feeds back the model update completion status to the host computer through the communication module. The host computer summarizes the model update completion status feedback from each intersection, confirms that the traffic lights at each intersection in the road network have completed parameter synchronization, records this collaborative update event, and continuously monitors the subsequent operating status data packets of each intersection to evaluate the effect of this update.

7. The traffic light indicator display control method according to claim 6, characterized in that, The microcontroller unit calculates the traffic flow density parameter in the d-th direction using the following formula. : in, This is the smoothed vehicle count value passing through the detection area in the current sampling period in the d-th direction; Let be the area of ​​the driving area corresponding to the d-th direction; The vehicle type correction coefficient in the d-th direction is calculated in real time based on the proportion of each vehicle type in the image recognition results, and a weighted correction is applied to cases where large vehicles occupy a larger equivalent space. The speed congestion sensitivity coefficient in the d-th direction reflects the amplification of the actual traffic pressure caused by the decrease in vehicle speed in that direction. It is calibrated and stored by the microcontroller unit based on historical operating data. The average vehicle speed estimated from the image frame sequence within the current sampling period in the d-th direction; The free-flow reference speed in the d-th direction represents the normal driving speed in that direction under uncongested conditions and is stored inside the microcontroller unit. The time period weighting coefficient is used to distinguish the differences in the sensitivity of traffic flow density perception during different time periods such as morning and evening peak hours, off-peak hours, and nighttime. It is issued by the host computer based on historical time period patterns and stored in the microcontroller unit.

8. The traffic light indicator display control method according to claim 7, characterized in that, The adaptive control model calculates the current intersection state feature vector using the following formula. Compared with the h-th historical feature vector in the historical periodic database Weighted similarity between : in, The traffic flow density parameter in the d-th direction of the current intersection state feature vector; Let be the traffic flow density parameter in the d-th direction of the h-th historical feature vector; The directional importance weight for the d-th direction is issued by the host computer based on the road network collaborative scheduling strategy; D is the total number of directions detected at the intersection. It is a time decay function. The time interval between the current moment and the moment the h-th historical record was stored. ,in This is the time decay rate, used to gradually reduce the contribution of older historical records to similarity over time. The fault penalty coefficient is used to control the reduction of similarity based on fault execution experiences in the historical record, and is stored in the adaptive control model. This represents the number of faults that occurred within the control cycle corresponding to the h-th historical record. This is the maximum number of failures per cycle in the historical period database, used for... Normalize.

9. The traffic light indicator display control method according to claim 8, characterized in that, The adaptive control model calculates the candidate phase duration after correction in the d-th direction using the following formula. : in, The reference phase duration in the d-th direction of the initial reference scheme; To correct the sensitivity coefficient and control the response amplitude of phase duration to traffic density deviation, it is updated remotely by the host computer. The traffic flow density parameter in the d-th direction of the current intersection state feature vector; The traffic flow density parameter in the d-th direction of the historical feature vector corresponding to the initial reference scheme; D is the total number of directions detected at the intersection; The total phase duration for this control cycle is determined by the host computer based on the road network coordination strategy. The queuing dissipation weight in the d-th direction reflects the priority of queuing backlog in that direction for phase duration compensation and is stored in the adaptive control model. The actual number of vehicles queuing in the d-th direction at the end of the previous control cycle is collected and stored by the data acquisition module at the end of the previous cycle. Let d be the maximum allowed number of vehicles queuing in the d-th direction, used for... Perform normalization; This is a phase duration smoothing coefficient used to suppress excessive fluctuations in phase duration between adjacent control cycles; This represents the actual execution phase duration in the d-th direction during the previous control cycle.

10. A traffic light indicator for executing the traffic light indicator display control method as described in any one of claims 1 to 9, characterized in that, include: The system comprises a data acquisition module, a microcontroller unit, a drive control module, an online detection module, and a communication module; among which: The data acquisition module is configured to: acquire real-time traffic flow data in each direction at the intersection where the traffic lights are located, and transmit the acquired data to the microcontroller unit, which then performs preprocessing on the data to generate an intersection state feature vector containing traffic flow density parameters in each direction; The microcontroller unit is configured to input the intersection state feature vector into its internally deployed adaptive control model, and the adaptive control model dynamically outputs a phase duration allocation scheme for each direction indicator light based on the comparison between the current intersection state feature vector and historical periodic data. The drive control module is configured to: send drive control signals carrying light state type and duration information to each directional arrow guide light according to the phase duration allocation scheme, and drive each directional arrow guide light to sequentially switch the corresponding pass or stop light state according to the allocated phase duration. The online detection module is configured to: detect the output signal of the drive control module in real time, compare the detected output signal with the standard signal, and when the deviation exceeds a preset threshold, the microcontroller unit triggers a fault isolation command, switches the indicator light in the corresponding direction to the safe default light state, and the communication module reports the fault location and type to the host computer. The communication module is configured to receive updated parameters from the host computer, and the microcontroller unit refreshes the adaptive control model according to the updated parameters so that the traffic lights at each intersection can continue to operate collaboratively based on the latest control strategy.

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