CN112002136A

CN112002136A - Intersection signal lamp control method, system, computer equipment and readable storage medium

Info

Publication number: CN112002136A
Application number: CN202010762810.6A
Authority: CN
Inventors: 贺鹏
Original assignee: Evergrande Intelligent Technology Co Ltd
Current assignee: Evergrande Intelligent Technology Co Ltd
Priority date: 2020-07-31
Filing date: 2020-07-31
Publication date: 2020-11-27

Abstract

The invention provides a crossing signal lamp control method, which comprises the following steps: acquiring traffic data of the intersection, wherein the traffic data comprises traffic types, traffic directions, traffic quantity and corresponding relations thereof in a preset time period; calculating the passing time corresponding to the passing direction according to the passing data; and controlling the signal lamp to work according to the passing time, adapting to the actual passing condition to carry out signal control, and effectively avoiding excessive passing waiting at the intersection and passing resource waste. In addition, the invention also provides a crossing signal lamp control system, computer equipment and a computer readable storage medium.

Description

Intersection signal lamp control method, system, computer equipment and readable storage medium

Technical Field

The invention relates to the field of traffic planning design, in particular to an intelligent intersection signal lamp control method, an intersection signal lamp control system, computer equipment and a computer readable storage medium.

Background

With the development of social science and technology, the living standard of people is improved, the foundation construction is better and better, the urban road construction is more and more, and the street and the intersection are visible everywhere.

The existing intersection signal lamp adopts fixed time to execute signal control: once the signal control logic is set, the traffic is continuously controlled by adopting the set fixed mode. However, in different time periods or different date periods, the passing condition of the intersection is not constant, and the fixed signal control mode may cause excessive waiting and waste of passing resources, which causes troubles to people.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provides a community parking space recommendation method, which can improve the targeted parking space recommendation of vehicles in the community; the invention also provides a community parking space recommendation system, computer equipment and a computer readable storage medium.

In order to realize the purpose, the following technical scheme is adopted:

in a first aspect, a method for controlling intersection signal lamps includes:

acquiring traffic data of the intersection, wherein the traffic data comprises traffic types, traffic directions, traffic quantity and corresponding relations thereof in a preset time period;

calculating the passing time corresponding to the passing direction according to the passing data;

and controlling the signal lamp to work according to the passing time.

In a second aspect, an intersection signal lamp control system comprises:

the system comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring traffic data of a crossing, and the traffic data comprises traffic types, traffic directions, traffic quantity and corresponding relations thereof in a preset time period;

the processing unit is used for calculating the passing time corresponding to the passing direction according to the passing data;

and the control unit is used for controlling the signal lamp to work according to the passing time.

In a third aspect, a computer device comprises:

a memory for storing executable instructions; and the number of the first and second groups,

and the processor is used for executing the executable instructions so as to complete the intersection signal lamp control method according to the first aspect.

In a fourth aspect, a computer-readable storage medium is used for storing computer-readable instructions which, when executed, implement the intersection signal light control method according to the first aspect.

The invention has the beneficial effects that:

according to the crossing signal lamp control method and system provided by the invention, the passing data of the crossing are obtained, the passing time is calculated and determined according to the passing data in a pertinence manner, and then the signal control is carried out according to the calculated passing time, so that the signal control adaptive to the actual passing condition is realized, and the problems of excessive passing waiting of the crossing and waste of passing resources can be effectively avoided.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope of the present invention.

Fig. 1 is a schematic flow chart of a method for controlling intersection signal lamps according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of the step of calculating the transit time of FIG. 1;

fig. 3 is a schematic flow chart of a method for controlling intersection signal lights according to another embodiment;

FIG. 4 is a schematic flow chart illustrating another embodiment of the method for controlling the intersection signal lamp of FIG. 3;

fig. 5 is a schematic diagram of a frame structure of a crossing signal lamp control system according to an embodiment of the present invention.

Detailed Description

Hereinafter, various embodiments of the present invention will be described more fully. The invention is capable of various embodiments and of modifications and variations therein. However, it should be understood that: there is no intention to limit various embodiments of the invention to the specific embodiments disclosed herein, but on the contrary, the intention is to cover all modifications, equivalents, and/or alternatives falling within the spirit and scope of various embodiments of the invention.

Hereinafter, the terms "includes" or "may include" used in various embodiments of the present invention indicate the presence of disclosed functions, operations, or elements, and do not limit the addition of one or more functions, operations, or elements. Furthermore, as used in various embodiments of the present invention, the terms "comprises," "comprising," "includes," "including," "has," "having" and their derivatives are intended to mean that the specified features, numbers, steps, operations, elements, components, or combinations of the foregoing, are only meant to indicate that a particular feature, number, step, operation, element, component, or combination of the foregoing, is not to be understood as first excluding the existence of, or adding to the possibility of, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.

In various embodiments of the invention, the expression "a or/and B" includes any or all combinations of the words listed simultaneously, e.g., may include a, may include B, or may include both a and B.

Expressions (such as "first", "second", and the like) used in various embodiments of the present invention may modify various constituent elements in various embodiments, but may not limit the respective constituent elements. For example, the above description does not limit the order and/or importance of the elements described. The foregoing description is for the purpose of distinguishing one element from another. For example, the first user device and the second user device indicate different user devices, although both are user devices. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of various embodiments of the present invention.

It should be noted that: in the present invention, unless otherwise explicitly stated or defined, the terms "mounted," "connected," "fixed," and the like are to be construed broadly, e.g., as being fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium; there may be communication between the interiors of the two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.

In the present invention, it should be understood by those skilled in the art that the terms indicating an orientation or a positional relationship herein are based on the orientations and the positional relationships shown in the drawings and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the device or the element referred to must have a specific orientation, be constructed in a specific orientation and operate, and thus, should not be construed as limiting the present invention.

The terminology used in the various embodiments of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the present invention. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present invention belong. The terms (such as those defined in commonly used dictionaries) should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

Referring to fig. 1, an embodiment of the present invention provides a method for controlling signal lights at intersections, which is applied to traffic signal control, and it can be understood that an intersection includes at least two intersections, and accordingly, at least two traffic directions exist at each intersection, and a signal light is a conventional traffic light, where the display time of the green light corresponds to the traffic time.

The intersection signal lamp control method comprises the following steps:

step S10, obtaining the traffic data of the intersection, wherein the traffic data comprises the traffic type, the traffic direction, the traffic quantity and the corresponding relation thereof in the preset time period;

step S20, calculating the passing time corresponding to the passing direction according to the passing data;

and step S30, controlling the signal lamp to work according to the passing time.

In this embodiment, in step S10, the camera device disposed at the intersection is used to monitor the traffic situation of each direction at the intersection, and count and obtain traffic data, specifically including the pedestrian traffic volume, the vehicle traffic volume, the time, the direction data, and the like.

In the step S20, the passing time corresponding to the passing direction is calculated according to the passing data, which includes two ways, one is that the data is processed in real time, for example, the time is set in segments, specifically, it may be set that every half hour is a time period, the signal time calculation is performed in each time period, and the signal time calculation in each time period is performed according to the passing data in the previous time period; the traffic light time calculation is carried out according to the traffic data of the previous day, or the traffic light time calculation is carried out based on the average data of the previous time.

Specifically, in one embodiment, the step S20 of calculating the passing time corresponding to the passing direction according to the passing data includes: the first transit time T1 for the first transit direction is calculated according to the following formula:

the N1 is a first passing number corresponding to the first passing direction, N is a total passing number of the intersection, and T is a time length of a one-time passing period preset by the intersection.

The embodiment discloses that the traffic time is calculated according to the traffic volume in traffic data, the proportion of the traffic volume in each direction in the total traffic volume can be further determined by calculating the traffic volume in each direction respectively, the traffic time is determined according to the proportion, and the matching of the traffic time and the traffic volume is realized.

Referring to fig. 2, in another embodiment, the step S20 of calculating the passing time corresponding to the passing direction according to the passing data includes:

step S21, calculating a first integrated traffic volume in the first traffic direction according to the following formula: Δ 1 ═ Δ 1_{Human being}+θΔ1_{Vehicle with wheels}Wherein, the value of Δ 1_{Human being}Is a first pedestrian traffic of the first traffic direction, Δ 1_{Vehicle with wheels}The first vehicle traffic volume in the first traffic direction is shown, and the theta is a preset weight parameter for pedestrian traffic and vehicle traffic; and the number of the first and second groups,

step S22, calculating a first passage time T1 in the first passage direction according to the following formula:

and the delta is always the total comprehensive traffic volume of each traffic direction of the intersection, and the T is the duration of one preset traffic cycle of the intersection.

It can be understood that the use efficiency of the pedestrian traffic and the vehicle traffic on the intersection traffic resource is different, in this embodiment, in the step S21, the traffic data in each direction is further refined, and the weight parameter corresponding to the pedestrian traffic and the vehicle traffic is set, where the weight parameter for the pedestrian traffic is set to 1, the weight parameter for the vehicle traffic is set to θ, for example, θ may be set to 0.6, and then the comprehensive traffic volume in the corresponding traffic direction may be determined through calculation according to the weight parameter.

Referring to fig. 3, in another embodiment, the method for controlling intersection signal lamps further includes a step S40 of storing the traffic data as historical traffic data, where the historical traffic data includes traffic information and time information. It can be understood that, in this embodiment, when the historical passage data is used as a premise for calculating and determining the passage time, the historical passage data needs to be stored first, and it can be understood that this step is to store the passage data after the passage data is acquired by the camera at the intersection, and the stored passage data can be used for the future time.

Please refer to fig. 4, further, the method for controlling signal lamps at intersections further comprises,

step S50, obtaining the historical traffic data of the time section corresponding to the current time, wherein the historical traffic data comprises the corresponding relation between the pedestrian traffic volume, the vehicle traffic volume and the direction thereof;

in step S60, the linear regression equation y of the traffic volume at the current time is calculated as m and c in mx + c according to the following formula:

x＝Δ1_{human being}+Δ1_{Vehicle with wheels}，y＝Δ1_{Human being}+θΔ1_{Vehicle with wheels}Wherein x is the sum of the pedestrian traffic and the vehicle traffic in the first direction in the historical traffic data, and y is the historical traffic dataThe required traffic volume in the first direction in the traffic data is theta, and theta is a preset weight parameter for pedestrian traffic and vehicle traffic;

step S70, the processing unit is further configured to calculate the predicted traffic amount Y ═ mX + c in each direction at the current time according to the following formula, where X is an average value of the sum of the pedestrian traffic amount and the vehicle traffic amount in a certain direction for several days in the historical traffic data;

step S80, the processing unit is further configured to calculate a first passage time T1 for the first passage direction according to the following formula:

y1 is the predicted traffic volume of one traffic direction at the intersection, Y is the total predicted traffic volume of all traffic directions at the intersection, and T is the duration of one preset traffic period at the intersection.

In this embodiment, the present passage time is predicted by further calculating the historical passage data to obtain the predicted passage amount, and the required passage time ratio and passage time can be calculated and determined according to the ratio of the predicted passage amount in a certain passage direction to the predicted passage amounts in all the passage directions.

In step S60, data of the integrated traffic volume y and the actual traffic volume x in a certain traffic direction for the same time period each day is taken as a point on the linear regression function, where x ═ Δ 1_{Human being}+Δ1_{Vehicle with wheels}，y＝Δ1_{Human being}+θΔ1_{Vehicle with wheels}Wherein Δ 1_{Human being}Is the pedestrian traffic, Δ 1, in the first direction for the time period_{Vehicle with wheels}Is the traffic volume of the vehicle in the first direction in the time period, and theta is a preset weight parameter for pedestrian traffic and vehicle traffic.

It can be understood that the data of the comprehensive traffic y and the actual traffic x in the same direction in the same time period each day fluctuate in a small range near a straight line, and a linear regression function is calculated according to historical data, so that the traffic in the future time period can be predicted.

M and c are solved, so that the result of mx + c and the real y error are minimized, and the result can be further used for predicting the traffic volume. The solving process of m and c is as follows:

here, the squared error is used to measure the error between the estimated value and the true value, and the function is denoted by L:

L_n＝(y_n-(mx_n+c))²

the average loss over the entire data set, i.e. the amount of people and vehicles travelling in a certain direction over a certain period of time each day in the past, is:

now a minimum average loss is required, then the mathematical expression is:

for the solution of the expression, a least square method is adopted, and the solution process is as follows: assuming that the data set consists of 1 … N data, x represents the feature and y is the result; the linear regression model is defined as follows:

f(x；m，c)＝mx+c

from the average loss function, the following derivation can be made:

and (3) solving a partial derivative of the L, wherein the partial derivative is 0 after the partial derivative is obtained, then solving c and m to obtain the minimum L, and the model obtained by m and c at the moment is the optimal matching model.

And c is subjected to partial derivation to obtain:

and (3) obtaining a partial derivative of m:

let c be equal to 0, solve for c:

the two average values obtained in the above formula are used respectively

And

shows, rewritten as:

order:

to obtain

Simultaneously, the partial derivative of m is zero, and m is solved:

use of

Simplifying to obtain:

merging terms containing m to reduce:

let the above equation be 0 to solve:

the simplistic is defined as follows:

obtaining:

in summary, it follows that:

in a specific embodiment, the example of calculating the comprehensive traffic y and the actual traffic x according to the historical traffic data is as follows:

n	Δ1_{human being}	Δ1_{Vehicle with wheels}	θ	x	y
						1	5	10	0.7	15	12
2	6	11	0.7	17	13.7
						3	10	10	0.7	20	17
4	8	10	0.7	18	15
						5	10	14	0.7	24	19.8

Wherein, θ can be set to different values in different time periods according to practical situations, such as the passing number of the vehicle and the person or different time periods, and the value is set to 0.7 in the embodiment; n represents a certain point in time of the past day, here exemplified by a sequence number.

Accordingly, an example of the data required to calculate m and c from the traffic data in the above example is as follows:

n	x	y	xy	x2
					1	15	12	180	225
2	17	13.7	232.9	289
					3	20	17	340	400
4	18	15	270	324
					5	24	19.8	475.2	576
mean value of	18.8	15.5	299.6	362.8

According to the data, the following data are calculated: m is 0.87 and c is-0.86.

In step S70, the estimated traffic volume Y is calculated from Y ═ mX + c, where X is an average value of actual traffic volume X in a certain direction over several days in the historical traffic data.

Specifically, the predicted traffic amount Y and m are 0.87, c is-0.86, and X is 18.8, and Y is 15.496, it can be understood that there is an error between the predicted traffic amount Y and the average value of the comprehensive traffic amount Y in the historical traffic data, and if the historical data is expanded, the number of the historical traffic data for calculating the average value of X is increased, for example, to the average value of the previous 30 days, and the value of the predicted traffic amount Y calculated will have a large change, increasing the error, and thus the traffic amount can be predicted more accurately. It is understood that the step S70 actually predicts the traffic volume in each direction respectively, and accordingly, Y1, Y2, Y3, etc. are obtained.

In the step 80, the traffic time in each direction is determined by calculation according to the calculated estimated traffic amounts Y1, Y2 and Y3 and the ratio of the estimated traffic amounts in each direction, thereby realizing signal lamp control.

Referring to fig. 5, an embodiment of the present invention further provides an intersection signal lamp control system 100 for intelligently controlling an intersection signal lamp, the system including:

the system comprises an acquisition unit 10, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring traffic data of a crossing, and the traffic data comprises traffic types, traffic directions, traffic quantity and corresponding relations thereof in a preset time period;

the processing unit 20 is used for calculating the passing time corresponding to the passing direction according to the passing data;

and the control unit 30 is used for controlling the signal lamp to work according to the passing time.

Further, the processing unit 20 is further configured to: the first transit time T1 for the first transit direction is calculated according to the following formula:

Further, the processing unit 20 is further configured to:

calculating a first integrated traffic volume for the first traffic direction according to the following formula: Δ 1 ═ Δ 1_{Human being}+θΔ1_{Vehicle with wheels}Wherein, the value of Δ 1_{Human being}Is a first pedestrian traffic of the first traffic direction, Δ 1_{Vehicle with wheels}The first vehicle traffic volume in the first traffic direction is shown, and the theta is a preset weight parameter for pedestrian traffic and vehicle traffic; and the number of the first and second groups,

the first transit time T1 for the first transit direction is calculated according to the following formula:

Further, the intersection signal lamp control system 100 further includes a storage unit 40, configured to store the traffic data as historical traffic data, where the historical traffic data includes traffic information and time information.

Further, the processing unit 20 is further configured to obtain the historical traffic data of the time period corresponding to the current time, where the historical traffic data includes a correspondence between pedestrian traffic and vehicle traffic and directions thereof;

the processing unit 20 is further configured to calculate a traffic linear regression equation y of the current time as m and c in mx + c according to the following formula:

x＝Δ1_{human being}+Δ1_{Vehicle with wheels}，y＝Δ1_{Human being}+θΔ1_{Vehicle with wheels}Wherein x is the sum of the pedestrian traffic and the vehicle traffic in the first direction in the historical traffic data, y is the required traffic in the first direction in the historical traffic data, and theta is a preset weight parameter for pedestrian traffic and vehicle traffic;

the processing unit 20 is further configured to calculate an estimated traffic amount Y ═ mX + c in each direction at the current time according to the following formula, where X is an average value of the sum of the pedestrian traffic amount and the vehicle traffic amount in a certain direction for several days in the historical traffic data;

the processing unit 20 is further configured to calculate a first transit time T1 for the first transit direction according to the following formula:

The embodiment of the invention also provides computer equipment, wherein the memory is used for storing the executable instruction; and the processor is used for executing the executable instruction so as to complete the intersection signal lamp control method.

The embodiment of the invention also provides a computer-readable storage medium for storing computer-readable instructions, and the instructions are executed to realize the intersection signal lamp control method.

In all examples shown and described herein, any particular value should be construed as merely exemplary, and not as a limitation, and thus other examples of the exemplary embodiments may have different values.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include processes of the above embodiments of the methods. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).

The above-described embodiments are merely illustrative of several embodiments of the present invention, which are described in more detail and detail, but are not to be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, other various changes and modifications can be made according to the above-described technical solutions and concepts, and all such changes and modifications should fall within the protection scope of the present invention.

Claims

1. A method for controlling intersection signal lamps is characterized by comprising the following steps:

and controlling the signal lamp to work according to the passing time.

2. The method for controlling signal lamps at intersections according to claim 1, wherein the method is based on the intersectionThe traffic data calculates the traffic time corresponding to the traffic direction, and the traffic time comprises the following steps: the first transit time T1 for the first transit direction is calculated according to the following formula:

3. The intersection signal lamp control method according to claim 1, wherein the calculating of the passing time corresponding to the passing direction from the passing data includes:

4. The intersection signal light control method of claim 1, further comprising storing the traffic data as historical traffic data, the historical traffic data including traffic information and time information.

5. The intersection signal light control method according to claim 4, further comprising,

acquiring historical traffic data of a time period corresponding to the current time, wherein the historical traffic data comprises the corresponding relation between pedestrian traffic and vehicle traffic and the direction of the pedestrian traffic and the vehicle traffic;

calculating the traffic linear regression equation y of the current time as m and c in mx + c according to the following formula:

calculating the predicted traffic Y (mX + c) in each direction at the current time according to the following formula, wherein X is the average value of the sum of the pedestrian traffic and the vehicle traffic in a certain direction for a plurality of days in the historical traffic data;

6. An intersection signal light control system, comprising:

7. Intersection signal lamp control system of claim 6Wherein the processing unit is further configured to: the first transit time T1 for the first transit direction is calculated according to the following formula:

8. The intersection signal light control system of claim 6, wherein the processing unit is further configured to:

9. The intersection signal light control system of claim 6, further comprising a storage unit for storing the traffic data as historical traffic data, the historical traffic data including traffic information and time information.

10. The intersection signal light control system of claim 9, wherein the processing unit is further configured to obtain the historical traffic data of a time period corresponding to a current time, and the historical traffic data includes a correspondence between a pedestrian traffic volume and a vehicle traffic volume and a direction thereof;

the processing unit is further configured to calculate a traffic linear regression equation y of the current time as m and c in mx + c according to the following formula:

the processing unit is further used for calculating the predicted traffic Y in each direction at the current time as mX + c according to the following formula, wherein X is the average value of the sum of the pedestrian traffic and the vehicle traffic in a certain direction for a plurality of days in the historical traffic data;

the processing unit is further configured to calculate a first transit time T1 for the first transit direction according to the following formula:

11. A computer device, comprising:

a processor for executing the executable instructions to perform the intersection signal light control method according to any one of claims 1 to 5.

12. A computer-readable storage medium storing computer-readable instructions that, when executed, implement the intersection signal light control method according to any one of claims 1 to 5.