CN111815972A - Traffic signal lamp control system - Google Patents

Abstract

The invention relates to a traffic signal lamp control system which comprises a controller and an image acquisition device connected with the controller, wherein the image acquisition device acquires images in four directions of a crossroad, and the controller controls the on-off time of a traffic signal lamp according to the acquired images. Compared with the prior art, the control of each traffic signal lamp can be accurately realized in real time according to the traffic flow, the adaptability of the original timing traffic signal lamp to complex traffic road conditions can be improved, and the centralized coordinated traffic network can be calibrated and optimized.

Description

Traffic signal lamp control system

Technical Field

The invention relates to the field of traffic signal lamp control, in particular to a traffic signal lamp control system.

Background

In the existing traffic signal lamp control system, the interval time of traffic lights at each intersection, namely the signal-to-green ratio, is always constant, and the interval time of the traffic lights cannot be changed in real time along with the traffic flow on the road, but the intersection often has the condition that the traffic flow in one direction is more and the traffic flow in the other direction is less, so that the constant traffic lamp control system wastes much time of people and is also a main source of urban traffic congestion.

Disclosure of Invention

The present invention is directed to a traffic signal control system for overcoming the above-mentioned drawbacks of the prior art.

The purpose of the invention can be realized by the following technical scheme:

the traffic signal lamp control system comprises a controller and an image acquisition device connected with the controller, wherein the image acquisition device acquires images in four directions of a crossroad, and the controller controls the on-off time of a traffic signal lamp according to the acquired images.

The controller is a single chip microcomputer.

The single chip microcomputer is an STM32F103 single chip microcomputer.

The STM32F103 single chip microcomputer is externally connected with an 8MHz crystal oscillator circuit and a 32.768kHz crystal oscillator circuit.

The 8MHz crystal oscillator circuit consists of an 8MHz crystal oscillator and 2 22pf capacitors.

The 32.768kHz crystal oscillator circuit consists of 32.768kHz crystal oscillators and 2 capacitors of 15 pf.

The image acquisition device is an intelligent camera.

The intelligent camera is an Open MV4 intelligent camera.

The four image acquisition devices respectively acquire images in four directions of the crossroad.

The process that the controller controls the turn-on and turn-off time of the traffic signal lamp according to the collected image comprises the following steps:

the image acquisition device judges the traffic flow of four directions according to the acquired image and transmits the traffic flow to the controller, the controller compares the received traffic flow of four directions, the green light passing time of the direction with the minimum traffic flow is shortened by half on the basis of the original time, and the green light passing time of the direction with the maximum traffic flow is increased by half on the basis of the original time.

Compared with the prior art, the invention has the following advantages:

(1) the traffic flow can be detected, identified and tracked in real time through the image acquisition device of the intersection, then the acquired traffic flow data is sent to the controller, the controller carries out data processing on the received data, and reasonable turn-on and turn-off time of each intersection is distributed in real time according to the traffic flow of each intersection, so that the problem of traffic jam can be further relieved, the road traffic efficiency is improved, the tail gas emission is reduced, and the effects of energy conservation and emission reduction are achieved; the traffic flow is detected in real time and adjusted automatically, so that the control of each traffic signal lamp can be realized one by one, independently and accurately; the adaptability of the original timing traffic lights to complex traffic road conditions can be improved, and the centralized and coordinated traffic network can be calibrated and optimized.

(2) The STM32F103 single chip microcomputer is small in power consumption, strong in real-time performance, strong in control capability, high in reliability, light, small and exquisite, easy to expand and low in cost, and can achieve real-time processing of traffic flow data.

(3) The Open MV4 intelligent camera is provided with an image processing module, can calculate the traffic flow in real time and has low power consumption.

Drawings

FIG. 1 is a schematic structural view of the present invention;

FIG. 2 is a schematic diagram of a reset circuit of the present invention;

FIG. 3 is a schematic diagram of a power supply circuit of the present invention;

FIG. 4 is a schematic diagram of a crystal oscillator circuit according to the present invention;

FIG. 5 is a flow chart of a method of use of the present invention.

Detailed Description

The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.

Examples

The embodiment provides a traffic signal lamp control system, and a general structure block diagram is shown in fig. 1, and the system includes an STM32F103 single chip microcomputer, an Open MV4 intelligent camera, a user key unit and a power supply unit. The real-time traffic flow of four directions of the crossroad is collected through four Open MV4 intelligent cameras, the collected traffic flow data are sent to the STM32F103 single chip microcomputer, the STM32F103 single chip microcomputer carries out data processing on the received data, and finally the on-off time of each lane traffic light is reasonably distributed through the system.

The Open MV4 intelligent camera can easily complete the functions of motion detection, color tracking, face detection, optical flow detection, data matrix detection, AprilTag tracking, image capture, video recording and the like.

Hardware module:

1. STM32F103 single chip microcomputer

The biggest difference from the 51 series 8-bit single chip microcomputer is that the STM32 series single chip microcomputer can be programmed not only by using a register, but also by using a library file provided by an official party, so that the programming is convenient, and the transplantation is easier. STM32F series belongs to 32-bit ARM microcontroller at middle and low ends, and the series of single-chip microcomputers can be divided into three types according to the capacity of Flash in the chip, wherein the small capacity is 16K and 32K, the medium capacity is 64K and 128K, and the large capacity is 256K, 384K and 512K. Particularly, the STM32F103 series is one of the most common MCUs in the market of the electronic industry, is a high-performance, low-voltage and low-power-consumption micro-control processor, the capacity of the micro-control processor is divided into 64K and 128K, and the working frequency can reach 72MHz at most.

2. Reset circuit

The reset function is mainly used for preventing the program from being restored to a power-on state through key reset when the program runs in error or enters dead cycle, and the program is executed again. The reset circuit is divided into power-on reset and key reset. The power-on reset circuit consists of 10K, a key and a 0.1uF ceramic capacitor, and when the power is just switched on, the system is automatically reset through R5 and C8. When the reset key is pressed, the 7 th pin NRST of the singlechip is conducted with GND, so that a low level is obtained, and the system is reset. Different from the reset circuit of the 51 single chip microcomputer, the reset of the 51 single chip microcomputer is high-level reset, and the reset of the STM32 series single chip microcomputers is low-level reset. The circuit of which is shown in fig. 2.

3. Power supply circuit

The power supply circuit is connected to the circuit through a 5V USB line through a DC-5.0 interface, and the working voltage of the STM32F103 single chip microcomputer is 3.3V, so that the voltage is reduced to 3.3V through a U1_ AMS1117_3.3V voltage reducer, and stable working voltage is provided for the minimum system circuit of the STM32F103 single chip microcomputer.

Fig. 3 is a schematic diagram of a power supply circuit, wherein capacitors C22, C21, C20 and C19 in the circuit are filter capacitors for filtering and reducing fluctuation and interference signals in the circuit to ensure normal operation of the system, and K1 is a system power switch.

4. Crystal oscillator circuit

The crystal oscillator circuit is used for generating a clock signal necessary for operation. The crystal oscillator circuit of the system has two, an external 8MHz high-speed crystal oscillator of the system operation clock frequency and an external 32.768kHz crystal oscillator of the system real-time clock operation. The high-speed crystal oscillator is composed of an 8MHz crystal oscillator and 2 22pf capacitors, the low-speed crystal oscillator is composed of a 32.768kHz crystal oscillator and 2 15pf capacitors, the external 8MHz crystal oscillator is mainly used as a high-speed system running clock, the processing speed of a 72MHz inner core is achieved by setting a clock tree and PLL frequency multiplication in a single chip microcomputer, and an external low-speed 32.768kHz crystal oscillator circuit is mainly used as an RTC clock source. The circuit diagram is shown in fig. 4.

In addition, a key circuit can be arranged, and the keys and functional parameters of the traffic signal lamp can be set through the key circuit.

The using method comprises the following steps:

the system is initialized, then the traffic flow is identified, detected and tracked through four Open MV4 intelligent cameras, the traffic flow information in each direction is processed and then transmitted to an STM32F103 single chip microcomputer, the single chip microcomputer processes the traffic flow data in each direction, the on-off time of traffic lights in each direction is reasonably planned according to the real-time traffic flow, the whole system program is circularly executed, the detection, identification and tracking of the traffic flow data can be completed in real time, the on-off time of the traffic lights in each direction is planned in real time, and a flow chart is shown in figure 5.

The Open MV4 intelligent camera completes the identification calculation and tracking of real-time traffic flow through three algorithms of a background difference method, a single Gaussian background model method and a camshift method.

Claims (10)

1. The traffic signal lamp control system is characterized by comprising a controller and an image acquisition device connected with the controller, wherein the image acquisition device acquires images in four directions of a crossroad, and the controller controls the on-off time of a traffic signal lamp according to the acquired images.

2. The traffic signal lamp control system of claim 1, wherein the controller is a single chip microcomputer.

3. The traffic signal lamp control system according to claim 2, wherein the single chip microcomputer is an STM32F103 single chip microcomputer.

4. The traffic signal lamp control system of claim 3, wherein the STM32F103 single chip microcomputer is externally connected with an 8MHz crystal oscillator circuit and a 32.768kHz crystal oscillator circuit.

5. The traffic signal lamp control system according to claim 4, wherein said 8MHz crystal oscillator circuit is composed of 8MHz crystal oscillator and 2 22pf capacitors.

6. A traffic signal lamp control system as claimed in claim 4, wherein said 32.768kHz crystal oscillator circuit is composed of 32.768kHz crystal oscillator and 2 15pf capacitors.

7. A traffic signal control system as claimed in claim 1, wherein said image capturing means is an intelligent camera.

8. The traffic signal lamp control system according to claim 7, wherein the smart camera is an Open MV4 smart camera.

9. The traffic signal lamp control system according to claim 1, wherein said image capturing devices are four, and four of said image capturing devices respectively capture images of four directions of the intersection.

10. The traffic signal 1 lamp control system as claimed in claim 1, wherein the process of controlling the turn-on and turn-off time of the traffic signal lamp according to the collected image by the controller comprises:

the image acquisition device judges the traffic flow of four directions according to the acquired image and transmits the traffic flow to the controller, the controller compares the received traffic flow of four directions, the green light passing time of the direction with the minimum traffic flow is shortened by half on the basis of the original time, and the green light passing time of the direction with the maximum traffic flow is increased by half on the basis of the original time.

Images