Special service vehicle management and control system based on electronic police license plate recognition

Abstract

The invention discloses a special service vehicle management and control system based on electronic police license plate recognition, and relates to the field of urban traffic technology control, and the system comprises the following steps: S1, carrying out the statistics of basic data, building a road network structure, and calculating the free travel time, the number of parking times, the queuing length, and the early release time of a signal lamp; s2, identifying special service vehicles through an electronic police at the intersection, thereby providing a prompt of green light control at the downstream intersection; s3, managing and controlling the green light through the background system so as to ensure that the special service vehicle passes without stopping; and S4, finishing the green light control, and recovering the downstream traffic order. Normal driving and rapid commuting of special service vehicles are guaranteed by electronically changing indication signals of the signal lamps, it can be ensured that the special service vehicles rapidly pass through key intersections, and commuting time and delay are reduced. And moreover, the overall traffic efficiency is improved, the waiting time of other vehicles is shortened, and the traffic jam is relieved.

Description

Technical Field

[0001] The invention relates to the field of urban traffic technology control, and in particular to a special service vehicle control system based on electronic police license plate recognition. Background Art

[0002] Special service vehicles usually refer to vehicles such as police cars, fire trucks, ambulances, and engineering rescue vehicles used to perform special or emergency tasks. According to Article 53 of the Road Traffic Safety Law of the People's Republic of China, police cars, fire trucks, ambulances, and engineering rescue vehicles can use sirens and sign lights when performing emergency tasks, and are not restricted by driving routes, driving directions, driving speeds, and signal lights on the premise of ensuring safety. Other vehicles and pedestrians should give way. This regulation is intended to ensure that special service vehicles can quickly and safely perform their rescue or mission duties.

[0003] However, the existing road maintenance of special service vehicles is achieved through information reporting, personnel coordination, and system response to achieve the purpose of control. However, in the process of data transmission and control implementation, the time coupling of traditional special service tasks and urban traffic order in the traditional process have the following major impacts: 1. Since traditional special service tasks are often emergencies, there is a large time error in the process of personnel coordination, which is not conducive to the execution of emergency special service tasks and cannot efficiently play the function of the information control system. 2. The special service support technical solution based on GPS chips can only meet the special service travel of some special vehicles, but cannot meet the special service needs of civilian vehicles, and the livelihood security is not flexible enough. 3. The identification of the required vehicles in traditional special service tasks requires the required personnel to contact the management personnel and inform their own location, which has a great impact on special service tasks with high timeliness requirements. 4. During peak hours, special service vehicles are greatly affected by the traffic flow of the road section, and the order personnel need to control in advance based on experience, and cannot accurately judge the end point of the control time. The traffic order of other intersections near the road section where special service vehicles pass is highly restricted.

[0004] There are related invention patents related to the passage of special service vehicles, as follows:

[0005] Chinese patent application number: CN116343466A, the name of the invention patent is: A method for giving priority to special service vehicles. The invention proposes a method for giving priority to special service vehicles, which includes obtaining the first driving direction angle of the first special service vehicle and the current intersection where the first special service vehicle is traveling; the first special service vehicle is a vehicle on duty, and the current intersection is the intersection where the first special service vehicle is about to pass; based on the first driving direction angle and the set of direction angles allowed for travel at the current intersection, the second driving direction angle of the first special service vehicle when passing the current intersection is determined, and the phase corresponding to the second driving direction angle is determined; wherein the set of direction angles allowed for travel at the intersection is pre-configured in the phase of the corresponding intersection; the phase corresponding to the phase is determined according to the phase corresponding to the second driving direction angle, and the phase corresponding to the current intersection signal is locked, so that the first special service vehicle has priority. Based on the technical solution provided by this application, special service vehicles can be given priority while ensuring safety, thereby improving the traffic efficiency of special service vehicles.

[0006] However, in the above-mentioned existing patents, although it is possible to ensure the passage of vehicles with special service needs at any time, during the special service mission, it will still affect the traffic conditions around the special service line, which will increase the traffic flow on the surrounding roads and cause traffic congestion. Traffic congestion will not only affect the normal travel of citizens, but may also cause economic losses. Moreover, the impact on traffic conditions may change the traffic flow pattern of surrounding roads, causing drivers to adapt to the new traffic environment. This change will increase the risk of traffic accidents. Summary of the invention

[0007] The purpose of this application is to provide a special service vehicle control system based on electronic police license plate recognition, which is used to solve the problem of special service routes affecting surrounding traffic during existing special service operations.

[0008] The present invention abstracts the intersections included in the urban road network as traffic nodes, and the nodes include the traffic organization, signal control scheme, and electronic police equipment combination of the intersections; the forward and reverse sections connecting the intersections are abstracted as connecting lines, so that the special service vehicles are identified through the electronic police video detection method, and the position information of the special service vehicles is obtained; according to the position information of the special service vehicles, the road section travel time t, the time when the special service vehicles arrive at the intersection and are detected, and the time when the special service vehicles pass through the intersection, the next intersection that may be passed is predicted, and the step of predicting the special service information is specifically to predict the time when the special service vehicles arrive at the intersection according to the position information, route length, and the distance between intersections, so as to change the indication signal of the signal light, thereby ensuring the normal driving and fast commuting of the special service vehicles, and ensuring that the special service vehicles can pass through each intersection quickly and smoothly. This flexibility and real-time performance greatly improve the traffic efficiency of the special service vehicles and reduce the delays caused by traffic congestion or waiting for signal lights.

[0009] A special service vehicle control system based on electronic police license plate recognition specifically includes the following steps:

[0010] S1, by statistically analyzing the basic data, the road network structure is established to calculate the free travel time, number of stops, queue length and early release time of traffic lights;

[0011] S2, using electronic police at intersections to identify special-service vehicles, thereby providing green light control prompts for downstream intersections;

[0012] S3, control the green light through the background system to ensure that special service vehicles can pass without stopping;

[0013] S4, green light control ends and downstream traffic order is restored.

[0014] As a further improvement of the present invention, electronic police are installed at the road network intersection in step S1, and the 5-minute statistical time is the free travel time T 0 , the T 0 The specific calculation formula is:

[0015]

[0016] The T x is the time when the x-th vehicle is detected. When the special service vehicle enters the road network and is detected by the electronic police at the west entrance of intersection A, the vehicle travel time t of the road section distance calculation statistical cycle of intersection A x Set to set P x , the travel time through this road section within the statistical period is set to t, all the travel times are sorted in ascending order, and the middle value between the 15% quantile and the 85% quantile is taken.

[0017] As a further improvement of the present invention, the basic data statistics in step S1 are used to calculate the number of parking times, and the number of parking times is counted in units of vehicles as the actual travel time T x , the T x The calculation formula is T x =B 通过时刻 -A 通过时刻 , the T x It is the difference in passing time between the two electronic policemen A and B of vehicle x.

[0018] As a further improvement of the present invention, n is the number of times. x <T 0 When the actual travel time is less than the free travel time, the output is 0 stops, n = 0; when T x >T 0 When, yes Calculate and round down the result to n 1 ; The T low is the minimum possible value period, the T up is the maximum possible value period, the T low =T 0 +n 1 C and T up =T 0 +n 1 C+g is calculated, where C is the signal cycle duration of the downstream intersection and g is the green light time.

[0019] As a further improvement of the present invention, the T x With T low 、T up When compared, the T x <T low When the vehicle stops for n times, x >T up When the vehicle stops for a certain number of times, 1 +1 time, when the T low ≤T x ≤T up , then proceed to the next step; when the T x <T low , the vehicle stops for n times.

[0020] As a further improvement of the present invention, the T low ≤T x ≤T up When a vehicle passes through the detection area of ​​the electronic police, it moves forward until the green light turns on in the same lane. In the known travel time sequence, there is a vehicle travel time ratio T x One more red light time, the number of stops is n 1 times; if the vehicle travel time does not exist than T x If there is one more red light time, T x-1 ≥T x +R, where R is the red light time, and the number of stops is n+1 times.

[0021] As a further improvement of the present invention, a statistical value of queue length dissipation is determined by calculating the number of parking times.

[0022] As a further improvement of the present invention, the lane queue length is calculated by the number of parking times and the vehicle queue position, and the queue length of the vehicle set X is set to N, wherein N=max x∈X N x , the N x is the queue position of each vehicle.

[0023] As a further improvement of the present invention, in step S2, during the task of the electronic police at the intersection identifying special service vehicles and providing prompts for green light control at the downstream intersection, the vehicle position is obtained by the electronic police, and through the electronic police's identification of the special service vehicle, it is determined whether the upstream intersection cancels the operation of controlling the green light and determines the time when the downstream starts to control the green light. The travel time will determine the green light locking process, and the AB independent sections illustrate the processing process for different situations.

[0024] The advantages of the present invention are: compared with the traditional commuting mode of special service vehicles, the normal driving and rapid commuting of special service vehicles are guaranteed by electronically changing the signal light indication signal, which can ensure that special service vehicles pass through key intersections quickly. Compared with the traditional timed signal light control, the electronic system is more flexible and can cope with changes in different time periods and traffic flows. In addition, special service vehicles do not need to wait for a long time at intersections, thereby reducing commuting time and delays. It also improves overall traffic efficiency, reduces waiting time for other vehicles, and alleviates traffic congestion. The electronic system can collect and analyze traffic data and provide decision support for traffic management departments. It helps to optimize traffic signal control strategies and improve overall traffic efficiency and management levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0026] Figure 1 It is a flow chart of the steps of the present invention.

[0027] Figure 2 It is a schematic diagram of the road network of the present invention.

[0028] Figure 3 It is a process diagram of the detection procedure of the present invention.

[0029] Figure 4 It is a process diagram of queue length calculation of the present invention.

[0030] Figure 5 It is a schematic diagram of the green light control at the starting intersection of the special service vehicle of the present invention.

[0031] Figure 6 This is a schematic diagram of the green light control for the special service vehicle arriving at the middle intersection of the line according to the present invention.

[0032] Figure 7This is a schematic diagram of the green light control for the special service vehicle leaving the middle intersection of the line according to the present invention.

[0033] Figure 8 It is a schematic diagram of the end of green light control for the special service vehicle arriving at the destination of the present invention.

[0034] Fig. 9 It is a schematic diagram of the implementation process of the invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Example, taking a certain road as an example, a special service vehicle control system based on electronic police license plate recognition, such as Figure 1 As shown, the following steps are included:

[0037] S1, by statistically analyzing the basic data, the road network structure is established to calculate the free travel time, number of stops, queue length and early release time of traffic lights.

[0038] The electronic police are installed at the intersection of the road network in step S1, and the 5-minute statistical time is the free travel time T 0 , T 0 The specific calculation formula is:

[0039]

[0040] T x is the time when the x-th vehicle is detected. When the special service vehicle enters the road network and is detected by the electronic police at the west entrance of intersection A, the vehicle travel time t of the road section distance calculation statistical cycle of intersection A x Set to set P x , the travel time through this section during the statistical period is set to t, all travel times are sorted in ascending order, and the middle value between the 15% quantile and the 85% quantile is taken.

[0041] like Figure 3 As shown, the basic data statistics in step S1 are used to calculate the number of stops, and the number of stops is counted in units of vehicles as the actual travel time T x , T x The calculation formula is T x =B 通过时刻 -A 通过时刻 , T xIt is the difference in passing time between the two electronic policemen A and B of vehicle x.

[0042] n is the number of times, when T x <T 0 When the actual travel time is less than the free travel time, the output is 0 stops, n = 0; when T x >T 0 When, yes Calculate and round down the result to n 1 ; T low is the minimum possible period, T up is the maximum possible period, T low =T 0 +n 1 C and T up =T 0 +n 1 C+g is used for calculation, where C is the signal cycle duration of the downstream intersection and g is the green light time.

[0043] To T x With T low 、T up For comparison, when T x <T low When T x >T up When the number of vehicle stops is n 1 +1 time when T low ≤T x ≤T up When T x <T low When , the vehicle stops for n times.

[0044] T low ≤T x ≤T up When a vehicle passes through the detection area of ​​the electronic police, it moves forward until the green light turns on in the same lane. There is a known travel time sequence in the known travel time sequence with a vehicle travel time ratio T x One more red light time, the number of stops is n 1 times; if the vehicle travel time does not exist than T x If there is one more red light time, T x-1 ≥T x +R, R is the red light time, and the number of stops at this time is n+1 times.

[0045] like Figure 4 As shown, the statistical value of queue length dissipation is determined by calculating the number of stops.

[0046] First, delete the vehicle data during the red and yellow light periods, and count whether the number of vehicle stops is greater than 0. If the number of stops is less than or equal to 0, when the light is green, the yellow light time g is subtracted from the remaining green light time. 阶段时间 -Y (yellow light time is 3 seconds).

[0047]

[0048] Then confirm the green light on time of the current signal cycle when the vehicle passes.

[0049] Then determine whether there are other vehicles passing before the vehicle in the current signal cycle. If not, the queue length of the vehicle is recorded as 0; if so, calculate whether the interval between the current vehicle and the previous vehicle is greater than 10 seconds. If it is greater than 10 seconds, the queue length of the vehicle is recorded as 0, and the passing time t of the vehicle is updated. x is the period t x+i-1 ,If it is less than 10 seconds, the following formula calculates the queue length.

[0050]

[0051] Finally, determine whether the vehicle is the last one. If not, repeat the first step. If it is, recalculate the number of times other vehicles have stopped.

[0052] The lane queue length is calculated by the number of stops and the position of the vehicle queue. The queue length of the vehicle set X is set to N, N = max x∈X N x , N x is the queue position of each vehicle. The travel time of each statistical cycle in each road section is calculated. In a statistical cycle, the passing time of all vehicles at the upstream and downstream intersections A→B is counted, and the data of the 5-minute statistical cycle are sorted from small to large. The data with a quantile greater than 85% and the data with a quantile less than 15% are eliminated, and the average value of the remaining samples is taken as the free flow time T 0 .

[0053] S2, through the intersection electronic police to identify special service vehicles, thereby providing green light control prompts for downstream intersections.

[0054] In step S2, during the task of the electronic police at the intersection identifying the special service vehicle and providing a prompt for the green light control at the downstream intersection, the vehicle position is obtained through the electronic police, and the electronic police identifies the special service vehicle to decide whether to cancel the green light control operation at the upstream intersection and the time to start controlling the green light downstream. The travel time will determine the green light locking process, and the processing process is explained for different situations of the AB independent sections.

[0055] like Figure 5-8As shown, the travel time of different sections is first classified. When the electronic police intersection A detects a special service vehicle, if the travel time of sections AB is less than 30 seconds, the traffic light at intersection B is immediately locked;

[0056] When a special service vehicle is detected at the electric police intersection A, if the travel time between sections A and B is greater than 30 seconds, the distance between sections A and B is less than or equal to 500 meters, and the queue length between sections A and B is greater than 50 meters, the traffic light at intersection B will be locked immediately;

[0057] When the electronic police intersection A detects a special service vehicle, if the travel time of the AB section is greater than 30 seconds, and the distance of the AB section is less than or equal to 500 meters, and the queue length of the AB section is less than or equal to 50 meters, the traffic light at the B intersection will start to count down from t-30s from the current moment;

[0058] When the electronic police intersection A detects a special service vehicle, if the distance between sections A and B is greater than 500 meters and the travel time between sections A and B is greater than 60 seconds, the traffic light at intersection B will start to count down from t-60s from the current moment and be locked;

[0059] When the electronic police intersection A detects a special service vehicle, if the distance between sections AB is greater than 500 meters and the travel time between sections AB is greater than or equal to 60 seconds, the traffic light at intersection B will start to count down from t-30s from the current moment and be locked.

[0060] If no special service vehicle is detected on section B, the process will end after 1 minute.

[0061] like Figure 5-8 As shown in the figure, the road control logic is as follows:

[0062] (1) When the electronic police intersection A detects a special service vehicle, due to the randomness of the special service vehicle's route selection, it is necessary to control the green light of the downstream intersection related to the flow image, as follows Figure 5 As shown: the south entrance road of intersection D is controlled in the full green phase, the west entrance road of intersection B is controlled in the full green phase, and the north entrance road of intersection G is controlled in the full green phase;

[0063] (2) When the electronic police intersection B detects a special service vehicle, it has been confirmed that the special service vehicle has arrived at intersection B from intersection A, and the control of intersections D and E has ended, and the phase operation has returned to normal; the south entrance of intersection E is controlled in the full green phase; the north entrance of intersection H is controlled in the full green phase, and the west entrance of intersection C is controlled in the full green phase;

[0064] (3) When the special service vehicle passes through intersection B, the control of intersection B ends and the phase operation returns to normal; however, at this time, the system does not know the downstream intersection location of the special service vehicle. The E, C, and H intersections remain unchanged. The middle section of the line follows this control logic. If there are T-shaped intersections or more branch intersections in the middle section, the same processing logic is used. Except for the green light for the direction of travel, all other directions are red lights.

[0065] (4) When the special service vehicle leaves intersection C (leaves the route), the control of intersection C and intersections F and I ends, and the phase operation returns to normal.

[0066] S3: When the electronic police equipment at any intersection identifies a special service vehicle, it will control the arrival flow at the corresponding downstream intersection with a green light and the non-arrival flow with a red light.

[0067] S4, after the vehicle passes the intersection, the green light is unlocked.

[0068] like Fig. 9 As shown, in this embodiment, the special service vehicle is identified by the electronic police video detection method to obtain the location information of the special service vehicle; based on the location information of the special service vehicle, the road section travel time t, the time when the special service vehicle arrives at the intersection and is detected, and the time when the special service vehicle passes the intersection, the next intersection that may be passed is predicted. The step of predicting the special service information is specifically to predict the time when the special service vehicle arrives at the intersection based on the location information, route length, and distance between intersections. Therefore, by electronically changing the signal light indication signal, the normal driving and rapid commuting of the special service vehicle can be guaranteed, and the special service vehicle can be ensured to pass through key intersections quickly. Compared with traditional timed signal light control, the electronic system is more flexible and can cope with changes in different time periods and traffic flows.

[0069] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A special service vehicle control system based on electronic police license plate recognition, characterized in that: The specific steps include: S1, by statistically analyzing the basic data, the road network structure is established to calculate the free travel time, number of stops, queue length and early release time of traffic lights; S2, using electronic police at intersections to identify special-service vehicles, thereby providing green light control prompts for downstream intersections; S3, control the green light through the background system to ensure that special service vehicles can pass without stopping; S4, green light control ends and downstream traffic order is restored.

2. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 1, characterized in that: The electronic police are installed at the road network intersection in step S1, and the 5-minute statistical time is the free travel time T0. The specific calculation formula of T0 is: The T x is the time when the x-th vehicle is detected. When the special service vehicle enters the road network and is detected by the electronic police at the west entrance of intersection A, the vehicle travel time t of the road section distance calculation statistical cycle of intersection A x Set to set P x , the travel time through this road section within the statistical period is set to t, all the travel times are sorted in ascending order, and the middle value between the 15% quantile and the 85% quantile is taken.

3. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 2, characterized in that: The basic data statistics in step S1 are used to calculate the number of stops, and the number of stops is counted in units of vehicles as the actual travel time T x , the T x The calculation formula is T x =B 通过时刻 -A 通过时刻 , the T x It is the difference in passing time between the two electronic policemen A and B of vehicle x.

4. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 3, characterized in that: where n is the number of times. When T x < T0, the actual travel time is less than the free travel time, and the output is 0 stops, n = 0; when T X > T0, calculate , and round down the result to determine n1; the T LoW is the period of the minimum possible value, the T up is the period of the maximum possible value, the T low = T0 + n1C and T UP = T0 + n1C + g are calculated, where C is the signal cycle length of the downstream intersection and g is the green light time.

5. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 4, characterized in that: For the T x With T low , T up When compared, the T x <T low When the vehicle stops for n times, x >T up When the vehicle stops for n1+1 times, low ≤T x ≤T up When T x <T low , the vehicle stops for n times.

6. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 5, characterized in that: The T low ≤T x ≤T up When a vehicle passes through the detection area of ​​the electronic police, it moves forward until the green light turns on in the same lane. In the known travel time sequence, there is a vehicle travel time ratio T x One more red light time, the number of stops is n1 times; if the vehicle travel time does not exist longer than T x If there is one more red light time, T x-1 ≥T x +R, where R is the red light time, and the number of stops is n+1 times.

7. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 3, characterized in that: The statistical value of queue length dissipation is determined by calculating the number of stops.

8. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 7, characterized in that: The lane queue length is calculated by the number of stops and the vehicle queue position, and the queue length of the vehicle set X is set to N, where N=max x∈X N x , the N x is the queue position of each vehicle.

9. A special service vehicle control system based on electronic police license plate recognition as claimed in claim 1, characterized in that: In step S2, during the task of the electronic police at the intersection identifying the special service vehicle and providing a prompt for green light control at the downstream intersection, the vehicle position is obtained by the electronic police, and the electronic police identifies the special service vehicle to determine whether to cancel the operation of controlling the green light at the upstream intersection and the time to start controlling the green light at the downstream intersection. The travel time will determine the green light locking process, and the processing process of the different situations of the AB independent sections is described.

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