Method for optimizing phase duration by combining opposite and rear illumination detection of cart data

Abstract

The invention, which relates to the technical field of the traffic equipment, discloses a method for optimizing the phase duration by combining opposite direction and rear illumination detection of cart data, and the method comprises the steps: arranging opposite direction vehicle detection equipment and rear illumination vehicle detection equipment at an intersection; measuring and calculating the duration of all small vehicles passing through a stop line by using opposite vehicle detection equipment when all the small vehicles exist in the set area of the intersection, recording the duration as the reference green light duration, and taking the reference green light duration as the minimum green light duration and executing; when the opposite vehicle detection equipment monitors that the large vehicles exist, correcting the reference green light duration according to the number of the large vehicles to obtain second passing time as the minimum green light duration, and executing the second passing time; after the minimum green light duration is executed, when the current phase green light duration of the intersection reaches a set value, the number of large vehicles at the intersection is detected through opposite vehicle detection equipment and rear lighting vehicle detection equipment, and the current phase green light duration of the intersection is prolonged according to the number of the large vehicles.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traffic equipment, in particular to a method for optimizing phase length by combining opposite and rear detection of large vehicle data. BACKGROUND

[0002] At present, it has become a relatively common method to obtain the number of vehicles and queue information in real time through the rear vehicle detection device installed on the electric police pole in each direction near the intersection, and then optimize the phase length of the intersection. Since the electric police pole is usually located more than 10 meters behind the stop line of the lane in that direction, the rear vehicle detection device installed thereon cannot accurately determine and calculate the number of vehicles in a certain distance below the electric police pole, that is, there is a blind area. When the number of vehicles in that direction is large and there are vehicles queuing behind the blind area, it does not seriously affect the optimization of the phase length in that direction. When the number of vehicles in that direction is small and there are no vehicles queuing behind the blind area, it may cause the system to mistakenly believe that there is no vehicle waiting, and then produce a false judgment, resulting in failure of phase optimization. Even if the signal light information and blind area length information are combined for simulation calculation, it may not be accurate enough to accurately calculate the minimum green time of the current phase.

[0003] Therefore, the opposite vehicle detection device can be installed on the electric police pole to detect the blind area vehicles below the electric police pole behind the stop line of the other direction. That is, through the combination of the two types of vehicle detection devices, the blind area vehicle information below the electric police pole can be accurately obtained, thereby laying a foundation for the optimization of the phase length of the intersection.

[0004] In the actual optimization process, large vehicles and general vehicles are often mixed and queued to pass through the intersection. Large vehicles usually refer to special vehicles such as buses, trucks, fire engines and ambulances. Unlike general cars, large vehicles usually start slowly and are not easy to brake. This causes large vehicles to be unable to start and pass through the intersection within the conventional minimum green time at the beginning of the phase if the large vehicles are not considered, and large vehicles may pass through the intersection by running a red light at the end of the phase if the large vehicles are not considered, which is extremely unfair to large vehicles. Therefore, in more detailed traffic optimization, it is necessary to obtain more accurate large vehicle information to develop targeted optimization strategies and achieve precise optimization of the phase length of the intersection. SUMMARY

[0005] The purpose of the present application is to provide a method for optimizing phase length by combining opposite and rear detection of large vehicle data to solve one or more technical problems in the prior art and at least provide a beneficial choice or create conditions.

[0006] To achieve the above technical purpose, the technical scheme of the present application is as follows: In a first aspect, the present invention provides a method for optimizing phase duration by combining oncoming and rear-lighting detection data of a large vehicle, the method comprising the following steps: Step 1: Install oncoming vehicle detection equipment and rear-view vehicle detection equipment at the intersection to detect traffic flow information; Step 2: Calculate the time it takes for all small vehicles to cross the stop line when the area set at the intersection is entirely occupied by small vehicles using the oncoming vehicle detection equipment. Record this as the baseline green light duration and use the baseline green light duration as the minimum green light duration. Step 3: When the oncoming vehicle detection equipment detects a large vehicle, the reference green light duration is adjusted according to the number of large vehicles to obtain a second passage time T2 as the minimum green light duration and then executed. Step 4: After executing the minimum green light duration, when the current phase green light duration of the intersection reaches the set value, the number of large vehicles on the intersection is detected by the oncoming vehicle detection device and the rear-view vehicle detection device, and the current phase green light duration of the intersection is extended according to the number of large vehicles.

[0007] Furthermore, in step 1, the sub-step of setting up oncoming vehicle detection equipment and rear-view vehicle detection equipment at the intersection to detect traffic flow information is as follows: The oncoming vehicle detection equipment is positioned on the opposite side of the intersection of the lane to be monitored, and its detection range covers the direction of origin of vehicles in the lane to be monitored. The rear-view vehicle detection device is mounted on an electric warning pole, which is positioned behind the stop line of the lane to be monitored. The detection range covers the direction of origin of vehicles in the lane to be monitored, and the rear-view vehicle detection device faces the front of the vehicle. The oncoming vehicle detection device has a larger detection range than the rear-view vehicle detection device in the lane that needs to be monitored, and the difference in detection range between the oncoming vehicle detection device and the rear-view vehicle detection device is a blind zone.

[0008] Preferably, the electric warning pole is located 10 meters behind the stop line of the lane in that direction.

[0009] Preferably, the oncoming vehicle detection equipment is positioned on an electric warning pole behind the stop line in the other direction.

[0010] Further, in step 2, the sub-step of using the oncoming vehicle detection equipment to calculate the time it takes for all small vehicles to cross the stop line when the area designated at the intersection is entirely occupied by small vehicles, and recording this as the baseline green light duration, and then using this baseline green light duration as the minimum green light duration, is as follows: Step 2.1: When the oncoming vehicle detection equipment detects that the waiting area of ​​the lane to be monitored is entirely composed of small vehicles, the time it takes for all the small vehicles in the waiting area to completely pass through the intersection is recorded as the baseline green light duration T. min; Step 2.2, set the reference green light duration T min As the minimum green light duration, the waiting time of the lanes that need to be monitored during the initial phase of the phase is executed.

[0011] Further, in step 3, when the oncoming vehicle detection equipment detects a large vehicle, the sub-step of adjusting the baseline green light duration based on the number of large vehicles to obtain a second passage time T2 as the minimum green light duration and executing it is as follows: Step 3.1: The oncoming vehicle detection equipment detects whether there are large vehicles in the blind spot, and records the number of large vehicles in the blind spot as N1; Step 3.2: Obtain the number of large vehicles in the detection range of the rear-view vehicle detection equipment at the current moment, denoted as N2; Step 3.3, calculate the second passage time T2=T min + T def +N2×P2; where T def The first compensation duration is T, and when N1 is 0. def P2 is 0, and P2 is the compensation duration for large vehicles; Step 3.4: Set the second passage time T2 as the minimum green light duration and execute it.

[0012] Further, in step 4, after executing the minimum green light duration, when the current phase green light duration at the intersection reaches the set value, the sub-step of detecting the number of large vehicles at the intersection using both the oncoming vehicle detection device and the rear-view vehicle detection device, and extending the current phase green light duration at the intersection based on the number of large vehicles, is as follows: Step 4.1: When the current phase green light duration at the intersection reaches the set value, the number of large vehicles detected in the blind spot by the oncoming vehicle detection equipment is recorded as N3. Step 4.2, the number of large vehicles detected by the rear-view vehicle detection equipment is recorded as N4; Step 4.3: When N3 is greater than 0, extend the duration of the green light signal for the current phase by T3; when N4 is greater than 0, extend the duration of the green light signal for the current phase by T4.

[0013] Preferably, all undefined variables in this invention, if not explicitly defined, can be manually set thresholds.

[0014] In a second aspect, the present invention provides a system for optimizing intersection phase duration by combining large vehicle data from oncoming and rear-view vehicle detection devices, the system comprising: Traffic flow acquisition module: includes oncoming vehicle detection equipment and rear-view vehicle detection equipment, used to collect traffic flow information at intersections; Duration processing module: Calculates the minimum green light duration and green light signal extension time based on traffic flow information at the intersection; Delay Execution Module: Executes the minimum green light duration and the current phase green light signal duration extension signal.

[0015] Thirdly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for optimizing phase duration by combining opposing and rear-light detection vehicle data as described in the first aspect of the present invention.

[0016] Fourthly, the present invention provides an electronic device, comprising: a memory storing a computer program thereon; and a processor for executing the computer program in the memory to implement the steps of the method for optimizing phase duration by combining opposing and rear-light detection vehicle data provided by the present invention.

[0017] Compared with the prior art, the present invention has the following beneficial technical effects: This avoids situations where large vehicles cannot start and pass through the intersection within the normal minimum green light duration, achieving precise optimization of intersection phase duration. Before the phase ends, the system determines whether to delay the phase and for how many seconds based on the number of large vehicles detected, ensuring that all vehicles can safely pass through the intersection with a high probability, and switching to the next phase immediately with minimal wasted time. Attached Figure Description

[0018] Figure 1 A flowchart of a method for optimizing phase duration by combining oncoming and rear-light detection data of a large vehicle, provided by the present invention; Figure 2 This is a schematic block diagram of a system structure for optimizing intersection phase duration by combining large vehicle data from oncoming and rear-view vehicle detection devices, according to an embodiment of the present invention. Figure 3 This diagram shows the installation locations and detection range coverage of the oncoming vehicle detection equipment and the rear-view vehicle detection equipment at the intersection. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are only for explaining the invention and are not intended to limit the invention.

[0020] It should also be understood that the following embodiments are only used to further illustrate the present invention and should not be construed as limiting the scope of protection of the present invention. Any non-essential improvements and adjustments made by those skilled in the art based on the above description of the present invention are within the scope of protection of the present invention. The specific process parameters, etc., in the following examples are merely examples within a suitable range; that is, those skilled in the art can make appropriate selections within the range based on the description herein, and are not intended to be limited to the specific values ​​in the examples below.

[0021] The following exemplarily illustrates a method for optimizing phase duration by combining oncoming and rear-view vehicle detection data provided by the present invention.

[0022] like Figure 1 The diagram shows a flowchart of a method for optimizing phase duration by combining oncoming and rear-facing vehicle detection data. The following section will discuss this method in conjunction with... Figure 1 This invention describes a method for optimizing phase duration by combining oncoming and rear-light detection vehicle data according to an embodiment of the present invention. The method includes the following steps: Step 1: Install oncoming vehicle detection equipment and rear-view vehicle detection equipment at the intersection to detect traffic flow information; Step 2: Calculate the time it takes for all small vehicles to cross the stop line when the area set at the intersection is entirely occupied by small vehicles using the oncoming vehicle detection equipment. Record this as the baseline green light duration and use the baseline green light duration as the minimum green light duration. Step 3: When the oncoming vehicle detection equipment detects a large vehicle, the reference green light duration is adjusted according to the number of large vehicles to obtain a second passage time T2 as the minimum green light duration and then executed. Step 4: After executing the minimum green light duration, when the current phase green light duration of the intersection reaches the set value, the number of large vehicles on the intersection is detected by the oncoming vehicle detection device and the rear-view vehicle detection device, and the current phase green light duration of the intersection is extended according to the number of large vehicles.

[0023] Furthermore, the oncoming vehicle detection equipment is positioned on the opposite side of the intersection of the lane to be monitored, and the detection range covers the direction of origin of vehicles in the lane to be monitored. The rear-view vehicle detection device is mounted on an electronic warning pole, which is positioned behind the stop line of the lane to be monitored. The detection range covers the direction of origin of vehicles in the lane to be monitored, and the rear-view vehicle detection device faces the front of the vehicle.

[0024] The oncoming vehicle detection device has a larger detection range than the rear-view vehicle detection device in the lane that needs to be monitored, and the difference in detection range between the oncoming vehicle detection device and the rear-view vehicle detection device is a blind zone.

[0025] Preferably, the electric warning pole is located 10 meters behind the stop line of the lane in that direction.

[0026] Preferably, the oncoming vehicle detection equipment is arranged on the electric warning pole behind the stop line in the oncoming direction.

[0027] Please see Figure 3The diagram shows a pair of north-south lanes. For the south-to-north lane, the oncoming vehicle detection device 2 is installed on the electric warning pole 7 on the opposite lane, i.e., the north-to-south lane. Its coverage area is the area formed by the line marked 5 in the diagram. It is used to detect the traffic flow from the electric warning pole 8 to the stop line area in the south-to-north lane. The rear-view vehicle detection device 3 is installed on the electric warning pole 8. Its coverage area is the area formed by the line marked 6. It is used to detect the traffic flow behind the electric warning pole 8.

[0028] Similarly, for the north-to-south lane, the oncoming vehicle detection device 4 is installed on the electric warning pole 8 on the south-to-north lane side to detect the traffic flow from the electric warning pole 7 to the stop line area in the north-to-south lane. The rear-view vehicle detection device 1 is installed on the electric warning pole 7 to detect the traffic flow behind the electric warning pole 7.

[0029] Step 2, using the oncoming vehicle detection equipment to calculate the time it takes for all small vehicles to cross the stop line when the area designated at the intersection is entirely occupied by small vehicles, is recorded as the baseline green light duration. The sub-step of using this baseline green light duration as the minimum green light duration is as follows: Step 2.1: When the oncoming vehicle detection equipment detects that the waiting area of ​​the lane to be monitored is entirely composed of small vehicles, the time it takes for all the small vehicles in the waiting area to completely pass through the intersection is recorded as the baseline green light duration T. min ; Step 2.2, set the reference green light duration T min As the minimum green light duration, the waiting time of the lanes that need to be monitored during the initial phase of the phase is executed.

[0030] Preferably, T min It lasts for 60 seconds.

[0031] Step 3: When the oncoming vehicle detection equipment detects a large vehicle, the baseline green light duration is adjusted based on the number of large vehicles to obtain a second passage time T2 as the minimum green light duration, and then executed. The sub-steps are as follows: Step 3.1: The oncoming vehicle detection equipment detects whether there are large vehicles in the blind spot, and records the number of large vehicles in the blind spot as N1; Step 3.2: Obtain the number of large vehicles in the detection range of the rear-view vehicle detection equipment at the current moment, denoted as N2; Step 3.3, calculate the second passage time T2=T min + T def +N2×P2; where T def The first compensation duration is T, and when N1 is 0. def P2 is 0, and P2 is the compensation duration for large vehicles; Step 3.4: Set the second passage time T2 as the minimum green light duration and execute it.

[0032] Preferably, T def P1 is 10s, P2 is 15s.

[0033] In the initial phase of a phase, when the number of vehicles in that direction is small and there are no vehicles queuing behind the blind spot, it is necessary to calculate the minimum green light duration for the current phase accurately and instantly. Assuming all vehicles in the blind spot are cars, the base green light duration T is the time it takes for all vehicles queuing in the blind spot to cross the stop line. Min If, at this moment, the oncoming vehicle detection equipment detects N1 large vehicles under the blind spot of the traffic light pole, and the rear-view vehicle detection equipment detects N2 large vehicles behind the traffic light pole, the minimum green light duration we provide is calculated as T = T Min +T def +N2*P2, where P2 is the additional green light time required for each large vehicle to pass the stop line, and T def When N1 is greater than 0, it represents a fixed compensation time for the green light duration of large vehicles in the blind spot. This can be a constant value manually calibrated based on actual conditions. Conversely, when N1 is 0, T... def The value is 0. For N2, since the phase may be a single-direction phase (e.g., the "East-Left-Straight" phase indicates that the east-bound left-turn and straight-ahead lanes have a green light) or a two-way phase (e.g., the "East-West-Straight" phase indicates that the east-bound and west-bound straight-ahead lanes have a green light), N2 needs to more precisely use the larger of the "average number of large vehicles per lane" (which can be calculated using floating-point numbers) in the two left-turn or straight-ahead directions of that phase. In this way, the system can determine the minimum green light duration for that phase based on the number of large vehicles detected at the initial stage of the phase, so as to ensure that all vehicles (including large vehicles) have enough time to safely pass through the intersection with a high probability. If no subsequent vehicles arrive when the minimum green light duration expires, the system will immediately switch to the next phase with minimal idle time.

[0034] In step 4, after executing the minimum green light duration, when the current phase green light duration at the intersection reaches the set value, the number of large vehicles at the intersection is detected by the oncoming vehicle detection equipment and the rear-view vehicle detection equipment, and the green light duration of the current phase at the intersection is extended according to the number of large vehicles. Step 4.1: When the current phase green light duration at the intersection reaches the set value, the number of large vehicles detected in the blind spot by the oncoming vehicle detection equipment is recorded as N3. Step 4.2, the number of large vehicles detected by the rear-view vehicle detection equipment is recorded as N4; Step 4.3: When N3 is greater than 0, extend the duration of the green light signal for the current phase by T3; when N4 is greater than 0, extend the duration of the green light signal for the current phase by T4.

[0035] Preferably, T3 is 10s and T4 is 12s.

[0036] When there are many vehicles in that direction at the initial stage of a phase, and there are still vehicles queuing behind the blind spot, it is not only necessary to calculate the minimum green light duration for the current phase, but also to determine whether the phase needs to extend the green light duration or be terminated based on the subsequent traffic situation. After making the green light termination decision, how should the phase delay duration be calculated based on the large vehicle information obtained by the oncoming vehicle detection and rear-view vehicle detection equipment? If the oncoming vehicle detection equipment detects N3 large vehicles under the blind spot of the traffic light pole, and the rear-view vehicle detection equipment detects N4 large vehicles behind the traffic light pole, then when N3 is greater than 0, the system needs to delay for T3 seconds before sending the next phase signal (up to the current phase green light signal) to the traffic signal controller. When N4 is greater than 0, the system needs to delay for T4 seconds before sending the next phase signal (up to the current phase green light signal) to the traffic signal controller. The total delay is T = T3 + T4. T3 and T4 are constant values ​​estimated based on the actual large vehicle passage delay at the intersection. The two parts operate independently and do not interfere with each other. If the number of large vehicles in either part is 0, then no delay is needed for that part. In this way, the system can determine whether to delay the phase and for how many seconds based on the number of large vehicles detected at the moment of deciding to end the phase, so as to ensure that all vehicles can safely pass through the intersection with a high probability and switch to the next phase immediately with minimal idle cost.

[0037] Preferably, all undefined variables in this invention, if not explicitly defined, can be manually set thresholds.

[0038] like Figure 2 The diagram shown is a schematic block diagram of a system structure for optimizing intersection phase duration by combining large vehicle data from oncoming and rear-view vehicle detection devices, according to an embodiment of the present invention.

[0039] Traffic flow acquisition module: includes oncoming vehicle detection equipment and rear-view vehicle detection equipment, used to collect traffic flow information at intersections; Duration processing module: Calculates the minimum green light duration and green light signal extension time based on traffic flow information at the intersection; Delay Execution Module: Executes the minimum green light duration and the current phase green light signal duration extension signal.

[0040] The system for optimizing intersection phase timing based on large vehicle data from both oncoming and rear-facing vehicle detection devices can run on computing devices such as desktop computers, laptops, handheld computers, and cloud servers. The system can include, but is not limited to, processors and memory. Those skilled in the art will understand that the example described is merely an illustration of a system for optimizing intersection phase timing based on large vehicle data from both oncoming and rear-facing vehicle detection devices and does not constitute a limitation on such a system. It may include more or fewer components, or a combination of certain components, or different components. For example, the system may also include input / output devices, network access devices, buses, etc.

[0041] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the system for optimizing intersection phase timing by combining vehicle data from oncoming and rear-facing vehicle detection equipment. It connects various parts of the system through various interfaces and lines.

[0042] The memory can be used to store the computer program and / or modules. The processor, by running or executing the computer program and / or modules stored in the memory and calling the data stored in the memory, realizes various functions of the system for optimizing intersection phase duration by combining large vehicle data from oncoming and rear-facing vehicle detection devices. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, phonebook, etc.). In addition, the memory may include random access memory (RAM), and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0043] Although the invention has been described in considerable detail and particularly with regard to several of the described embodiments, it is not intended to limit itself to any of these details or embodiments or any particular embodiment, thereby effectively covering the intended scope of the invention. Furthermore, the invention has been described above with respect to embodiments foreseeable by the inventors in order to provide a useful description, and non-substantial modifications to the invention that have not yet been foreseen may still represent equivalent modifications.

[0044] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0045] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the invention.

Claims

1. A method of optimizing phase length in conjunction with front and back detection of cart data, characterized by, The method comprises the following steps: Step 1, setting opposite vehicle detection equipment and rear vehicle detection equipment at the intersection for detecting traffic information; Step 2, using the opposite vehicle detection equipment to measure the time length of all small vehicles passing through the stop line when the set area of the intersection is all small vehicles, and recording the time length as the reference green light time length, taking the reference green light time length as the minimum green light time length and executing; Step 3, when the opposite vehicle detection equipment monitors that there are large vehicles, correcting the reference green light time length according to the number of large vehicles to obtain the second passing time T2 as the minimum green light time length and execute; Step 4, after executing the minimum green light time length, when the current phase green light time length of the intersection reaches a set value, detecting the number of large vehicles on the intersection through the opposite vehicle detection equipment and the rear vehicle detection equipment respectively, and prolonging the current phase green light time length of the intersection according to the number of large vehicles.

2. The method of claim 1, wherein the method further comprises: In step 1, the opposite vehicle detection equipment and the rear vehicle detection equipment are set at the intersection for detecting traffic information, specifically: The opposite vehicle detection equipment is arranged at the opposite side of the lane to be monitored at the intersection, and the detection range covers the source direction of the vehicles on the lane to be monitored; The rear vehicle detection equipment is arranged on the electric police pole, and the electric police pole is arranged behind the stop line controlling the lane to be monitored, and the detection range covers the source direction of the vehicles on the lane to be monitored; The detection range of the opposite vehicle detection equipment on the lane to be monitored is larger than that of the rear vehicle detection equipment, and the difference between the detection ranges of the opposite vehicle detection equipment and the rear vehicle detection equipment is a blind area.

3. The method of claim 1, wherein the method further comprises: In step 2, when the set area of the intersection is all small vehicles, the time length of all small vehicles passing through the stop line is measured by the opposite vehicle detection equipment, and the time length is recorded as the reference green light time length, and the reference green light time length is taken as the minimum green light time length and executed, and the sub-step is: Step 2.1, when the opposite vehicle detection device detects that all the waiting area of the lane needing to be monitored is small vehicles, record the time when all the small vehicles in the waiting area completely pass through the intersection as the reference green light duration T min ; Step 2.2, the reference green light duration T is set as the minimum green light duration min As the minimum green light duration, as the initial stage of the phase, the waiting duration of the lane to be monitored is needed to be monitored and performed.

4. The method of claim 2, wherein the method further comprises: determining a phase length of the machine data based on the detected position of the machine and the detected position of the machine; and determining a phase length of the machine data based on the detected position of the machine and the detected position of the machine. In step 3, when the opposite vehicle detection equipment monitors that there are large vehicles, the reference green light time length is corrected according to the number of large vehicles to obtain the second passing time T2 as the minimum green light time length and execute, and the sub-step is: Step 3.1, the opposite vehicle detection equipment monitors whether there are large vehicles in the blind area, and records the number of large vehicles in the blind area as N1; Step 3.2, obtaining the number of large vehicles in the detection range of the rear vehicle detection equipment at the current time, and recording the number as N2; Step 3.3, calculate the second passing time T2 = T min + T def + N2 x P2; wherein T def is the first compensation time length, and T def is 0 when N1 is 0, and P2 is the large vehicle compensation time length; Step 3.4, taking the second passing time T2 as the minimum green light time length and executing.

5. The method for optimizing phase duration by combining oncoming and rear-facing vehicle detection data according to claim 1, characterized in that, In step 4, after executing the minimum green light time length, when the current phase green light time length of the intersection reaches a set value, the number of large vehicles on the intersection is detected through the opposite vehicle detection equipment and the rear vehicle detection equipment respectively, and the current phase green light time length of the intersection is prolonged according to the number of large vehicles, and the sub-step is: Step 4.1, when the current phase green light time length of the intersection reaches a set value, the opposite vehicle detection equipment detects the number of large vehicles in the blind area, and records the number as N3; Step 4.2, the rear vehicle detection equipment detects the number of large vehicles, and records the number as N4; Step 4.3, when N3 is greater than 0, the current phase green light signal time length T3 is prolonged, and when N4 is greater than 0, the current phase green light signal time length T4 is prolonged.

6. A system for optimizing intersection phase durations in conjunction with opposing and rear-aiming vehicle detection equipment, characterized by, The system runs the steps of the method for optimizing phase duration by combining opposite and rear detection of large vehicle data according to any one of claims 1-5; The system comprises: A vehicle flow acquisition module comprising opposite vehicle detection equipment and rear vehicle detection equipment for acquiring vehicle flow information of the intersection; A duration processing module for calculating minimum green light duration and green light signal extension time according to the vehicle flow information of the intersection; A delay execution module for executing the minimum green light duration and the current phase green light signal duration extension signal.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that The program is executed by the processor to implement the steps of the method for optimizing phase duration by combining opposite and rear detection of large vehicle data according to any one of claims 1-5.

8. An electronic device, comprising: Comprise: A memory having a computer program stored thereon; A processor for executing the computer program in the memory to implement the steps of the method for optimizing phase duration by combining opposite and rear detection of large vehicle data according to any one of claims 1-5.

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