WO2016165154A1

WO2016165154A1 - Ultra-wideband wireless positioning technology-based traffic light optimization system and optimization method

Info

Publication number: WO2016165154A1
Application number: PCT/CN2015/077230
Authority: WO
Inventors: 钟裕山
Original assignee: 深圳市润安科技发展有限公司
Priority date: 2015-04-14
Filing date: 2015-04-22
Publication date: 2016-10-20
Also published as: CN104809893A; CN104809893B

Abstract

An ultra-wideband wireless positioning technology-based traffic light optimization system and optimization method. The traffic light optimization system comprises an electronic license plate (1) affixed onto a vehicle and transmitting an ultra-wideband pulse signal; at least three interconnected and synchronized base stations (2) located beside a road and used for receiving the ultra-wideband pulse signal and uploading the moments at which the ultra-wideband pulse signal is received; and a traffic light optimization server (3) for generating real-time coordinates of the electronic license plate (1) on the basis of a positioning algorithm and the moments uploaded by each base station (2) at which the ultra-wideband pulse signal is received, positioning, on the basis of the real-time coordinates of the electronic license plate (1) and a prestored range of traffic intersection coordinates, the traffic intersection at where the vehicle is located, measuring the number of vehicles passing through the traffic intersection per second, acquiring in real-time the number of vehicles entering a waiting area in the traffic intersection per second, and optimizing the durations of red and green lights of the traffic lights at the traffic intersection on the basis of the number of vehicles passing and the number of vehicles in the waiting area per second.

Description

Traffic light optimization system and optimization method based on ultra-wideband wireless positioning technology

Technical field

The invention belongs to the field of traffic light management, and in particular relates to a traffic light optimization system and an optimization method based on ultra-wideband wireless positioning technology.

Background technique

Traffic lights are divided into motor lights and crosswalk lights. Motor vehicle lights usually refer to traffic lights consisting of red, yellow and green lights to direct traffic. Crosswalk lights usually refer to traffic lights consisting of red and green lights to direct traffic. Red lights stop and green pedestrians. In order to optimize the setting time of the traffic lights, some traffic light management systems have appeared to control the traffic lights so that the vehicles can regulate the driving.

However, the existing traffic light optimization system cannot accurately position the vehicle, and it is prone to false alarms, resulting in incorrect setting of the traffic lights and reducing the use efficiency of the traffic lights. The reason is that the existing traffic light optimization system generally adopts the following three positioning methods, which are detailed as follows:

The first positioning method adopts GPS positioning mode. Since GPS positioning is global positioning, it will be affected by various factors, and the positioning accuracy is low. Therefore, the traffic light optimization system using GPS positioning method cannot be on the road. Traffic lights for high precision positioning;

The second positioning method uses image recognition to locate the traffic light. Since the image is susceptible to light and dark interference, the image data is limited by the camera coverage of the road. Therefore, it is often difficult to recognize the traffic light in the image in the background. It is impossible to position the traffic lights in the road with high precision;

The third positioning method is a narrow-band wireless communication positioning method represented by RFID and ZIGbee. Since the narrowband wireless communication itself is limited by the frequency band, it is impossible to accurately position the traffic light in the road. In addition, the narrowband signal is susceptible to other signals. Signal interference affects the stability of traffic light optimization system positioning based on ultra-wideband wireless positioning technology.

technical problem

The purpose of the embodiments of the present invention is to provide a traffic light optimization server based on the ultra-wideband wireless positioning technology, which aims to solve the existing traffic light optimization system, and is unable to accurately position the vehicle, and is prone to false alarms. The time of the traffic lights is set incorrectly, which reduces the efficiency of traffic lights. The problem.

Problem solution

Technical solution

The embodiment of the present invention is implemented in this manner, and a traffic light optimization system based on an ultra-wideband wireless positioning technology includes:

An electronic license plate attached to the vehicle and transmitting an ultra-wideband pulse signal;

At least three base stations located next to the road, interconnected and synchronized, for receiving the ultra-wideband pulse signal, uploading a time at which the ultra-wideband pulse signal is received;

a traffic light optimization server connected to the base station, configured to generate real-time coordinates of the electronic license plate according to a positioning algorithm and a time when each of the base stations uploads the super-wideband pulse signal, according to the real-time of the electronic license plate Coordinates and pre-stored traffic intersection coordinate ranges, locate the traffic intersection where the vehicle is located, measure the number of vehicles passing through the traffic intersection per second, and obtain the number of vehicles entering the waiting area in the traffic intersection every second in real time, according to The number of vehicles passing per second and the number of vehicles in the waiting area optimize the traffic light duration of the traffic lights in the traffic intersection.

Another object of the embodiments of the present invention is to provide an optimization method based on the traffic light optimization system described above, including:

The electronic license plate sends an ultra-wideband pulse signal to the base station;

Receiving, by the base station, the ultra-wideband pulse signal, uploading the time when the ultra-wideband pulse signal is received to the traffic light optimization server;

The traffic light optimization server generates real-time coordinates of the electronic license plate according to a positioning algorithm and a time when each of the base stations uploads the super-wideband pulse signal, according to real-time coordinates of the electronic license plate and pre-stored traffic intersections The coordinate range, locate the traffic intersection where the vehicle is located, measure the number of vehicles passing through the traffic intersection per second, and obtain the number of vehicles entering the waiting area in the traffic intersection every second in real time, according to the vehicle passing every second. The number and the number of vehicles in the waiting area optimize the traffic light duration of the traffic lights in the traffic intersection.

Advantageous effects of the invention

Beneficial effect

In an embodiment of the invention, a traffic light optimization system is provided, based on the number of vehicles passing per second and The number of vehicles in the waiting area is optimized, and the traffic light duration of the traffic lights in the traffic intersection is optimized. The existing traffic light optimization system is solved, the high-precision positioning of the vehicle cannot be performed, and the number of false alarms is prone to occur, which causes the time of the traffic light to be misplaced incorrectly, and the setting efficiency of the traffic light switching time is lowered. The beneficial effects are in two aspects, as detailed below:

On the one hand, due to the ultra-wideband wireless communication technology between the base station and the electronic license plate, the signal transmission between the base station and the base station, and the ultra-wideband wireless communication technology, with the nanosecond non-sinusoidal narrow pulse transmission data, has a frequency bandwidth. Multi-channel, low power consumption, low interference, high safety factor, and existing spectrum, will not interfere with the existing ultra-wideband communication applications, so high-speed mobile electronic license plate can be positioned with high precision. Furthermore, the high-precision positioning of the vehicle to which the electronic license plate is attached can also enhance the stability of the positioning.

On the other hand, according to the real-time coordinates of the electronic license plate and the pre-stored traffic intersection coordinate range, the traffic intersection where the vehicle is located is positioned, and since the accuracy of the real-time coordinates of the electronic license plate is high, the accuracy of measuring the number of vehicles passing through the traffic intersection per second is high. Therefore, it is possible to avoid the occurrence of false alarms, improve the use efficiency of the green light, reduce the waiting time of the vehicle, thereby reducing the exhaust emissions of the vehicle, thereby reducing the degree of air pollution of the vehicle exhaust.

Brief description of the drawing

DRAWINGS

1 is a structural diagram of a traffic light optimization system based on an ultra-wideband wireless positioning technology according to an embodiment of the present invention;

2 is a flowchart of implementing an optimization method of a traffic light optimization system according to an embodiment of the present invention;

3 is a flow chart showing an implementation of measuring the number of vehicles passing through a traffic intersection according to an embodiment of the present invention;

4 is a flowchart of a first implementation of S203 according to an embodiment of the present invention;

FIG. 5 is a flowchart of a second implementation of S203 according to an embodiment of the present invention.

Invention embodiment

Embodiments of the invention

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

Embodiment 1

1 is a structural diagram of a traffic light optimization system based on an ultra-wideband wireless positioning technology according to an embodiment of the present invention, which is described in detail as follows:

An electronic license plate 1 attached to the vehicle and transmitting an ultra-wideband pulse signal;

At least three base stations 2 located next to the road, interconnected and synchronized, are configured to receive the ultra-wideband pulse signal and upload a time when the ultra-wideband pulse signal is received;

a traffic light optimization server 3 connected to the base station 2, configured to generate real-time coordinates of the electronic license plate 1 according to a positioning algorithm and a time when each of the base stations 2 receives the super-wideband pulse signal, according to the The real-time coordinates of the electronic license plate 1 and the pre-stored traffic intersection coordinate range, locate the traffic intersection where the vehicle is located, measure the number of vehicles passing through the traffic intersection every second, and obtain the real-time waiting area entering the traffic intersection every second. The number of vehicles, based on the number of vehicles passing per second and the number of vehicles in the waiting area, optimizes the traffic light duration of the traffic lights in the traffic intersection.

The traffic light optimization server is further configured to locate a traffic intersection where the vehicle is located according to the real-time coordinates of the electronic license plate 1 and a pre-stored traffic intersection coordinate range, and measure an average vehicle speed of the traffic intersection. The average speed of the traffic intersection, and the number of vehicles that can pass through the traffic intersection every second when the green light duration is measured.

The traffic light duration of the traffic light in the traffic intersection is optimized according to the number of vehicles passing per second and the number of vehicles in the waiting area, including any of the following implementation modes, as detailed below:

The first mode: searching for the duration of the traffic light corresponding to the pre-configured difference according to the difference between the number of vehicles passing in each second and the number of vehicles in the waiting area, and optimizing the traffic according to the duration of the traffic light corresponding to the difference The traffic light of the traffic light in the intersection;

The second way: get the number of vehicles passing per second and the number of vehicles waiting in the area, will

Calculating a proportional coefficient according to the number of vehicles passing per second compared with the number of vehicles in the waiting area, and optimizing the traffic light duration of the traffic light in the traffic intersection according to the proportional coefficient;

The traffic light duration of the traffic light in the traffic intersection is optimized according to the correspondence between the pre-configured scale factor and the traffic light duration.

a third way: according to the proportion of the number of vehicles in each lane of the waiting area to the number of vehicles passing through each second, in the traffic lights of the traffic intersection, the respective lane counterparts are optimized according to the ratio The traffic light to the length of time.

The duration of the traffic lights in the corresponding directions of the respective lanes is optimized according to the correspondence between the pre-configured ratio and the duration of the traffic lights.

In the at least three base stations 2, the base station 2 and the base station are interconnected by using a wired network mode or a wireless network mode, and the wired network mode includes an optical network, an Ethernet composed of twisted pairs, and the same At least one of Ethernets composed of a shaft cable, the wireless network mode comprising at least one of a WIFI network mode, a 3G network mode, a 4G network mode, and a 5G network mode.

The base station 2 and the traffic light optimization server 3 are interconnected by a wired network mode or a wireless network mode, and the wired network mode includes a fiber network, an Ethernet composed of twisted pairs, and a coaxial cable. At least one of Ethernet, the wireless network mode includes at least one of a WIFI network mode, a 3G network mode, a 4G network mode, and a 5G network mode.

The traffic light optimization server 3 connects any one of the three base stations 2 through a switch or a route. It should be noted that the base station 2 connected to the traffic light optimization server 3 can be understood as the primary base station 2, and the remaining base station 2 is the secondary base station 2, and the synchronization signal is sent to each secondary base station 2 through the primary base station 2, The synchronization of the primary base station 2 and each of the secondary base stations 2 is completed.

Wherein, the electronic license plate 1 is attached to the windshield of the vehicle, and the ultra-wideband pulse signal is transmitted without direction through the ultra-wideband antenna.

The traffic light optimization server 3 is further configured to store a correspondence between the electronic license plate 1 and the traffic light.

It should be noted that the position coordinates of the traffic light include two-dimensional coordinates and three-dimensional coordinates.

When three base stations are used, two-dimensional coordinates can be calculated, and when four or more base stations are used, three-dimensional coordinates can be calculated.

It should be noted that the traffic light optimization server 3 connected to the base station 2 can separate the executed method into two parts and is implemented by two servers, as follows:

a positioning server, configured to generate real-time coordinates of the electronic license plate 1 according to a positioning algorithm and a time when each of the base stations uploads the super-wideband pulse signal, according to real-time coordinates of the electronic license plate 1 and pre-stored traffic The intersection coordinate range locates the traffic intersection where the vehicle is located.

An optimization server that measures the number of vehicles passing through the traffic intersection per second, and acquires every second in real time. The number of vehicles entering the waiting area in the traffic intersection is optimized according to the number of vehicles passing per second and the number of vehicles in the waiting area, and the traffic light duration of the traffic lights in the traffic intersection is optimized.

In the embodiment of the present invention, the signal transmission between the base station 2 and the electronic license plate 1 and between the base station 2 and the base station adopts an ultra-wideband wireless positioning technology, and has the characteristics of low power consumption and ultra-wideband, and the transmission technology can be used for high speed. The mobile electronic license plate 1 performs high-precision positioning.

Embodiment 2

This embodiment mainly describes the connection relationship between the traffic light optimization server and the base station, which is described in detail as follows:

The traffic light optimization server directly connects one of the at least three base stations or the plurality of base stations, or the traffic light optimization server connects one of the at least three base stations or the plurality of base stations through a data exchange device.

Synchronization between the base station and the base station can be accomplished by transmitting a synchronization pulse to other base stations by one of the at least three base stations.

Among them, there are two connection modes between the traffic light optimization server and the base station, as detailed below:

The first connection method:

The traffic light optimization server 3 is directly connected to one of the at least three base stations or a plurality of base stations.

It should be noted that the traffic light optimization server 3 directly connects one of the at least three base stations or a plurality of base stations, indicating that the connection link between the traffic light optimization server 3 and the base station is a direct link. There is no data exchange device in between.

It should be noted that the number of directly connected base stations of the traffic light optimization server 3 may be one or multiple.

When the number of the base station connected to the traffic light optimization server 3 is one, the base station connected to the traffic light optimization server 3 can be understood as the primary base station, and the remaining base stations are the secondary base stations, and the primary base station and the secondary base station are in a level Union. The primary base station aggregates and uploads the time at which the other secondary base station receives the ultra-wideband pulse signal.

When the number of directly connected base stations of the traffic light optimization server 3 is plural, the traffic light optimization server 3 summarizes and counts the times when the three base stations upload the received super-wideband pulse signals.

The second connection method:

The traffic light optimization server 3 connects one of the at least three base stations or a plurality of base stations through a data exchange device.

The data exchange device is a device for performing electronic data exchange, and includes at least one of a router, a switch, an optical transceiver, and a fiber transceiver.

It should be noted that the number of base stations connected to the traffic light optimization server 3 through the data exchange device may be one or multiple.

When the number of the base station connected to the traffic light optimization server 3 through the data exchange device is one, the base station connected to the traffic light optimization server 3 can be understood as the primary base station, and the remaining base stations are the secondary base station, the primary base station and the auxiliary base station. Cascading between base stations. The primary base station aggregates and uploads the time at which the other secondary base station receives the ultra-wideband pulse signal.

When the number of the base station connected to the traffic light optimization server 3 through the data exchange device is plural, the traffic light optimization server 3 summarizes and counts the time at which the three base stations upload the received super-wideband pulse signal.

It should be noted that when the traffic light optimization server 3 connects one of the at least three base stations or the plurality of base stations through the data exchange device, the networking structure between the base station and the traffic light optimization server 3 includes any one of the following architectures. Species, as detailed below:

1. The base station and the base station are connected by a network cable, and one or more base stations are connected to the data distribution port of the router through the network cable, and the data distribution port of the router is connected to the traffic light optimization server 3 through the network cable;

Second, the base station and the base station are connected by a network cable, and one or more base stations are connected to the data distribution port of the switch through the network cable, and the data distribution port of the switch is connected to the traffic light optimization server 3 through the network cable;

3. The optical fiber connection is used between the base station and the base station, and one or more base stations are connected to the input end of the optical transceiver through the optical fiber, and the output end of the optical transceiver is connected to the traffic light optimization server 3 through the network cable;

4. The optical connection is used between the base station and the base station, and one or more base stations are connected to the input end of the optical transceiver through the optical fiber, and the output end of the optical transceiver is connected to the traffic light optimization server 3 through the network cable.

Embodiment 3

2 is a flowchart of implementing an optimization method of a traffic light optimization system according to an embodiment of the present invention, where the optimization method includes:

S201, the electronic license plate 1 sends an ultra-wideband pulse signal to the base station 2;

S202, the base station 2 receives the ultra-wideband pulse signal, and uploads the time when the ultra-wideband pulse signal is received to the traffic light optimization server 3;

S203, the traffic light optimization server 3 generates real-time coordinates of the electronic license plate 1 according to a positioning algorithm and a time when each of the base stations uploads the super-wideband pulse signal, according to the real-time coordinates of the electronic license plate 1 and Pre-stored traffic intersection coordinate range, locate the traffic intersection where the vehicle is located, measure the number of vehicles passing through the traffic intersection per second, and obtain the number of vehicles entering the waiting area in the traffic intersection every second in real time, according to the number of vehicles per second. The number of vehicles passing through the clock and the number of vehicles in the waiting area optimize the traffic light duration of the traffic lights in the traffic intersection.

The positioning algorithm includes at least one of a Time of Arrival (TOA) algorithm and a Time Difference of Arrival (TOA) algorithm.

Wherein, the number of vehicles entering the waiting area in the traffic intersection per second is obtained in real time, specifically:

Determine whether the traffic light is lit yellow;

When the yellow light is turned on, the number of vehicles entering the waiting area in the traffic intersection per second is acquired in real time.

In the embodiment of the present invention, the signal transmission between the base station 2 and the electronic license plate 1 between the base station and the base station adopts ultra-wideband wireless communication technology, and the ultra-wideband wireless communication technology adopts a non-sinusoidal narrow pulse transmission of nanosecond order. Data, with frequency bandwidth, multi-channel, low power consumption, low interference, high safety factor, and existing spectrum, will not interfere with the existing ultra-wideband communication applications, so it can pass the high-speed mobile electronic license plate 1 High-precision positioning is carried out to accurately position the traffic lights attached to the electronic license plate 1 in the traffic light lane, and at the same time enhance the stability of the positioning.

Embodiment 4

FIG. 3 is a flow chart of implementing the method for measuring the number of vehicles passing through a traffic intersection according to an embodiment of the present invention, which is described in detail as follows:

S301. Measure a distance that each of the vehicles passes according to a change value of real-time coordinates of each of the electronic license plates 1 in a preset time, to obtain an instantaneous vehicle speed of each of the vehicles;

S302. Count an instantaneous vehicle speed of each of the vehicles, and measure an average vehicle speed of the traffic intersection;

S303. Measure, according to the average vehicle speed of the traffic intersection, the number of vehicles passing through the traffic intersection per second.

In this embodiment, the number of vehicles passing through the traffic intersection per second is measured, and the degree of intelligence of the traffic light optimization system based on the ultra-wideband wireless positioning technology is enhanced.

Embodiment 5

FIG. 4 is a flowchart of a first implementation of S203 according to an embodiment of the present invention, which is described in detail as follows:

S401, when the vehicle is in the waiting area, according to the real-time coordinates of the electronic license plate 1 and the pre-stored lane coordinate range, the lane in which the vehicle is located is obtained;

The traffic light optimization server 3 is further configured to store a location of attachment of the electronic license plate 1 on the vehicle and model parameters of the vehicle.

Generating, according to the pre-stored attachment position of the electronic license plate on the vehicle and the model parameter of the vehicle, a relative distance between the attachment position and the model parameter, according to the relative distance and the real-time of the electronic license plate 1 Coordinates, the position coordinates of the vehicle are generated.

A lane in which the vehicle is located is obtained according to model parameters of the vehicle, position coordinates of the vehicle, and pre-stored lane coordinate ranges.

S402, accumulating the vehicles entering the lane, and obtaining the number of vehicles in each lane in the waiting area per second.

In the embodiment of the present invention, the vehicles entering the lane are accumulated, the number of vehicles in each lane in the waiting area per second is obtained, and the number of vehicles in each lane in the waiting area can be dynamically obtained, and the ultra-wideband wireless positioning is enhanced. The degree of intelligence of the technical traffic light optimization system.

Embodiment 6

FIG. 5 is a flowchart of a second implementation of S203 according to an embodiment of the present invention, which is described in detail as follows:

S501: Measure the total number of vehicles passing the green light duration according to the product of the number of vehicles passing per second and the length of the green light;

S502. Generate a scaling factor according to the total number of the vehicles and the number of vehicles in the waiting area.

Wherein, the total number of vehicles is compared with the number of vehicles in the waiting area, and a proportional coefficient is generated.

S503, when the proportional coefficient is less than 1, the length of the green light is extended, and the duration of the red light and the switching time of the traffic light are shortened.

Wherein, the duration of the red light is shortened, so that the number of vehicles that can pass through the green light duration is greater than the number of vehicles in the waiting area.

When the scale factor is not less than 1, no processing is performed.

In the embodiment of the present invention, the duration of the red light is shortened, thereby ensuring smooth traffic, reducing the waiting time of the vehicle, and reducing exhaust emissions and air pollution caused thereby.

Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus necessary general hardware. The program may be stored in a readable storage medium such as a random access memory, a flash memory, a read only memory, a programmable read only memory, an electrically erasable programmable memory, a register, or the like. The storage medium is located in a memory, the processor reads information in the memory, and in conjunction with its hardware, performs the methods described in various embodiments of the present invention.

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. All should be covered by the scope of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

A traffic light optimization system based on ultra-wideband wireless positioning technology, characterized in that it comprises:

An electronic license plate attached to the vehicle and transmitting an ultra-wideband pulse signal;

At least three base stations located next to the road, interconnected and synchronized, for receiving the ultra-wideband pulse signal, uploading a time at which the ultra-wideband pulse signal is received;

a traffic light optimization server connected to the base station, configured to generate real-time coordinates of the electronic license plate according to a positioning algorithm and a time when each of the base stations uploads the super-wideband pulse signal, according to the real-time of the electronic license plate Coordinates and pre-stored traffic intersection coordinate ranges, locate the traffic intersection where the vehicle is located, measure the number of vehicles passing through the traffic intersection per second, and obtain the number of vehicles entering the waiting area in the traffic intersection every second in real time, according to The number of vehicles passing per second and the number of vehicles in the waiting area optimize the traffic light duration of the traffic lights in the traffic intersection.
The traffic light optimization system based on the ultra-wideband wireless positioning technology according to claim 1, wherein in the at least three base stations, the base station and the base station are interconnected by using a wired network mode or a wireless network mode. The wired network mode includes at least one of a fiber network, an Ethernet composed of a twisted pair, and an Ethernet composed of a coaxial cable, and the wireless network mode includes a WIFI network mode, a 3G network mode, and a 4G network mode. At least one of the 5G network modes.
The traffic light optimization system based on the ultra-wideband wireless positioning technology according to claim 1, wherein the base station and the traffic light optimization server 3 are interconnected by a wired network mode or a wireless network mode, and the wired The network mode includes at least one of a fiber network, an Ethernet composed of twisted pairs, and an Ethernet composed of a coaxial cable, and the wireless network mode includes a WIFI network mode, a 3G network mode, a 4G network mode, and a 5G network mode. At least one of them.
The traffic light optimization system based on the ultra-wideband wireless positioning technology according to claim 1, wherein the traffic light optimization server directly connects one of the at least three base stations or a plurality of base stations, or Traffic light optimization server pass data The switching device connects one of the at least three base stations or a plurality of base stations.
An optimization method for a traffic light optimization system according to claim 1, wherein the optimization method comprises:

The electronic license plate sends an ultra-wideband pulse signal to the base station;

Receiving, by the base station, the ultra-wideband pulse signal, uploading the time when the ultra-wideband pulse signal is received to the traffic light optimization server;

The traffic light optimization server generates real-time coordinates of the electronic license plate according to a positioning algorithm and a time when each of the base stations uploads the super-wideband pulse signal, according to real-time coordinates of the electronic license plate and pre-stored traffic intersection coordinates Range, locate the traffic intersection where the vehicle is located, measure the number of vehicles passing through the traffic intersection per second, and obtain the number of vehicles entering the waiting area in the traffic intersection every second in real time, according to the number of vehicles passing per second. And the number of vehicles in the waiting area, and optimize the traffic light duration of the traffic lights in the traffic intersection.
The optimization method according to claim 5, wherein the positioning algorithm comprises at least one of an arrival time TOA algorithm and an arrival time difference TDOA algorithm.
The optimization method according to claim 5, wherein the number of vehicles passing through the traffic intersection per second is determined as follows:

Measuring a distance that each of the vehicles passes according to a change value of real-time coordinates of each of the electronic license plates in a preset time to obtain an instantaneous vehicle speed of each of the vehicles;

The instantaneous vehicle speed of each of the vehicles is counted, and the average vehicle speed of the traffic intersection is measured; and the number of vehicles passing through the traffic intersection per second is measured according to the average vehicle speed of the traffic intersection.
The optimization method according to claim 5, wherein the real-time acquisition of the number of vehicles entering the waiting area in the traffic intersection per second is specifically:

Determine whether the traffic light is lit yellow;

When the yellow light is turned on, the number of vehicles entering the waiting area in the traffic intersection per second is acquired in real time.
The optimization method according to claim 5 or 8, wherein said real time acquisition per second The number of vehicles entering the waiting area in the traffic intersection, specifically:

Determining, in the traffic intersection, whether the vehicle is in a waiting area according to a real-time coordinate of the electronic license plate and a pre-stored waiting area coordinate range;

When the vehicle is in the waiting area, obtaining the lane in which the vehicle is located according to the real-time coordinates of the electronic license plate and the pre-stored lane coordinate range;

Accumulating the vehicles entering the lane, the number of vehicles in each lane in the waiting area per second is obtained.
The optimization method according to claim 5, wherein the traffic light duration of the traffic light in the traffic intersection is optimized according to the number of vehicles passing per second and the number of vehicles in the waiting area, specifically:

The total number of vehicles passing through the green light duration is measured based on the number of vehicles passing per second and the length of the green light duration;

Generating a scale factor according to the total number of vehicles and the number of vehicles in the waiting area;

When the proportional coefficient is less than 1, the green light duration is extended, and the red light duration and the traffic light switching duration are shortened.