KR20210031233A - A method for controlling to increase driving safety of micro mobility - Google Patents

Abstract

A server comprises: a communication unit to receive location information from driving micro mobility; and a control unit to determine the driving route of the micro mobility based on the received location information, determine a driving risk rating of a driving fault cause for the micro mobility existing in the determined route by checking whether a driving fault cause exists in the determined route, and track the location of the micro mobility and generate operation information for the micro mobility corresponding to the driving risk based on the received location information if it is determined that the driving risk rating can affect the driving of the micro mobility. The communication unit can transmit the operation information for the micro mobility to the micro mobility.

Description

A control method to increase the driving safety of micro mobility {A METHOD FOR CONTROLLING TO INCREASE DRIVING SAFETY OF MICRO MOBILITY}

The present invention relates to micro-mobility, and more particularly, to a control method for improving driving safety of micro-mobility.

Recently, the micro mobility (or personal mobility) market is growing rapidly. When users move relatively short distances, they move easily by using their own micro-mobility.

1 is a diagram illustrating an example of micro mobility.

Micro-mobility refers to a single-person vehicle driven mainly by electricity, and may include, for example, an electric wheel, an electric kickboard (shown in Fig. 1), an electric skateboard, an electric bicycle, etc., and contain harmful substances. Do not discharge. Because of its small size, micro-mobility is expanding its position as a means of transportation and leisure goods.

Unlike large vehicles, micro-mobility is inexpensive to purchase or manage, and users are increasing rapidly. The domestic micro-mobility market is growing rapidly, with an annual average of 20% or more, and the market size is expected to reach about 600 billion won in 2022.

Currently, there are about 10 companies that provide micro mobility services in Korea. In particular, latecomers are entering the market at a rapid pace this year as the government promises to release regulations entangled in the micro-mobility market. Kakao Mobility has entered the micro-mobility service, and PUMP recently launched a micro-mobility service called “Thingsing”. Mass Asia's “Go Go Sing” also started its service in April 2019 after attracting investment at the beginning of this year. In the case of'Kick Going', an electric kickboard sharing service, which Ululo started serving from the end of 2018, the number of subscribers from 30,000 in March 2019 exceeded 150,000 in June.

Elekle, which opened the nation's first electric bicycle sharing market, achieved a 70% reuse rate in three weeks from the start of service in April this year. Kakao Mobility plans to increase 1,000 electric bicycles distributed in Yeonsu-gu, Incheon and Seongnam-si, Gyeonggi to 3,000 within this year. As such, the growth rate of micro-mobility is very fast. Micro-mobility is a new form of transportation, but unlike car-sharing services such as carpool, existing interests are not complicated, so it seems that it is not unreasonable to form and grow the market. However, due to the lack of relevant laws and regulations, illegal humanitarian driving under the current law is frequent, safety devices such as helmets are insufficient, and pedestrians are often inconvenient because of electric kickboards or electric bicycles that are randomly placed on the sidewalk.

In addition, at present, there are many obstacles to driving on roads or sidewalks of micro-mobility, so it is still difficult for micro-mobility users to use it safely and conveniently.

The technical problem to be achieved in the present invention is to provide a server for controlling the driving safety of micro-mobility.

Another technical problem to be achieved in the present invention is to provide a micro-mobility for controlling a driving operation to increase driving stability.

Another technical problem to be achieved in the present invention is to provide a method for the server to control the driving stability of micro-mobility.

Another technical problem to be achieved in the present invention is to provide a method of controlling a driving operation in which micro-mobility improves driving stability.

The technical problems to be achieved in the present invention are not limited to the technical problems mentioned above, and other technical problems that are not mentioned will be clearly understood by those of ordinary skill in the technical field to which the present invention belongs from the following description. I will be able to.

In order to achieve the above technical problem, the server for controlling the driving safety of micro-mobility includes: a communication unit for receiving location information from the running micro-mobility; The driving risk of the driving obstacle for the micro-mobility existing in the determined path by determining the driving path of the micro-mobility based on the received location information and checking whether there is a driving obstacle in the determined path When it is determined that the level of the driving risk can affect the driving of the micro-mobility, the position of the micro-mobility is tracked based on the received location information, and the micro-mobility corresponding to the driving risk is determined. And a control unit that generates operation information for the micro-mobility, wherein the communication unit may transmit operation information for the micro-mobility to the micro-mobility.

The driving risk level of the driving obstacle may be determined based on the type of the micro-mobility. The type of micro mobility may be a micro kickboard.

The control unit may generate different motion information according to the driving risk level. The operation information may be any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command. The driving off command may be generated when the micro-mobility deviates from a geo-fence.

In order to achieve the above other technical problems, the micro-mobility for controlling a driving operation to increase driving stability includes: a position measuring unit for measuring a position of the micro-mobility during driving; A communication unit that transmits information on the measured location to a server, and receives motion information corresponding to a driving risk level existing in a driving route from the server; And a control unit for controlling a driving operation according to the operation information, wherein the control unit may monitor whether or not the operation information is received at predetermined time intervals, wherein the driving risk level is a driving that exists in the driving route. It may be determined based on the obstacle factor and the type of the micro-mobility.

The operation information may be any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command. The type of micro mobility may be a micro kickboard.

In order to achieve the above another technical problem, a method for a server to control the driving stability of micro-mobility includes: receiving location information from the driving micro-mobility; Determining a driving route of the micro-mobility based on the received location information; Determining whether a driving obstacle exists in the determined path and determining a driving risk level of the driving obstacle for the micro-mobility existing in the determined path; When it is determined that the driving risk level may affect the driving of the micro-mobility, the location of the micro-mobility is tracked based on the received location information, and motion information for the micro-mobility corresponding to the driving risk is generated. The step of doing; And the communication unit transmitting operation information for the micro-mobility to the micro-mobility.

The operation information may be generated differently according to the driving risk level. The operation information may be any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command.

In order to achieve the above another technical problem, a method of controlling a driving operation for increasing driving stability by micro-mobility includes: measuring a position of the micro-mobility while driving; Transmitting information on the measured location to a server; Receiving operation information corresponding to a driving risk level existing in a driving route from the server; And controlling a running motion according to the motion information, wherein whether or not the motion information is received may be monitored at predetermined time intervals in order to control the traveling motion. Here, the driving risk level may be determined based on a driving obstacle present in the driving route and the type of the micro-mobility. The operation information may be any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command.

According to an embodiment of the present invention, when the driving risk level is determined in consideration of the type of micro-mobility and driving obstacle factors, the micro-mobility receives and monitors motion information corresponding to the driving risk level, and performs a driving operation according to the motion information. By controlling, it is possible to remarkably improve the driving safety on the driving route.

The effects that can be obtained in the present invention are not limited to the above-mentioned effects, and other effects not mentioned can be clearly understood by those of ordinary skill in the art from the following description. will be.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included as part of the detailed description to aid understanding of the present invention, provide embodiments of the present invention, and together with the detailed description will be described the technical idea of the present invention.
1 is a diagram illustrating an example of micro mobility.
2 is an exemplary diagram for describing a micro mobility city care service.
3 is a block diagram illustrating a micro-mobility (or micro-mobility device) 300 according to the present invention.
4 is a diagram illustrating a flowchart of the operation of the micro-mobility 300 for the system for checking and managing driving obstacles according to the present invention.
5 is a block diagram illustrating a function of the server 400 according to the present invention.
6 is a diagram illustrating a flowchart of the operation of the server 500 for the system for checking and managing driving obstacles according to the present invention.
7 is a diagram summarizing functions between micro-mobility and a server required for a system for checking and managing driving obstacles according to the present invention.
8A and 8B are diagrams illustrating an example for describing a driving section of micro mobility.
9 is an exemplary diagram for explaining a method for calculating a driving quality index of a driving section of micro mobility.
10 is an exemplary flowchart for explaining a method of improving driving stability by using location information of obstacles and IoT technology in micro-mobility.
11 is an example of a block diagram illustrating a function of a device (eg, an AR device) for remotely controlling micro-mobility.
12 is an example of a block diagram showing a configuration of a micro-mobility for explaining a method of driving a micro-mobility in a remote location using Internet of Things (IoT) and augmented reality (AR) technologies.
13 is an example of a flowchart illustrating a method of driving a micro-mobility in a remote location using Internet of Things (IoT) and augmented reality (AR) technologies.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. DETAILED DESCRIPTION OF THE INVENTION The detailed description to be disclosed below together with the accompanying drawings is intended to describe exemplary embodiments of the present invention, and is not intended to represent the only embodiments in which the present invention may be practiced. The following detailed description includes specific details to provide a thorough understanding of the present invention. However, one of ordinary skill in the art appreciates that the invention may be practiced without these specific details.

In some cases, in order to avoid obscuring the concept of the present invention, well-known structures and devices may be omitted, or may be illustrated in a block diagram form centering on core functions of each structure and device. In addition, the same components will be described using the same reference numerals throughout the present specification.

2 is an exemplary diagram for describing a micro mobility city care service.

Referring to FIG. 2, as the use of micro-mobility increases rapidly, the problem of securing the safety of urban residents is seriously emerging. Therefore, it is necessary to reduce the likelihood of an accident by finding a factor for improving the urban environment for driving accidents. The system proposed by the present invention relates to a technical approach for finding environmental factors to be improved.

Micro-mobility will be activated in various forms in future cities. To this end, a number of driving obstacles such as the Micro Mobility City Care Business (that is, a service that assists in creating a city that can use micro-mobility safely and comfortably) can use it safely and conveniently in the city. There is also a need for a business that will remove the factors.

The system for checking and managing driving obstacles of micromobility proposed in the present invention collects information on driving obstacles by micromobility and transmits it to the server, and the server analyzes the information on the driving obstacles received. By identifying the driving obstacles and processing them so that driving obstacles can be eliminated, it enables the safe and convenient driving of micro-mobility users. In addition, the server (or central analysis computer, cloud, etc.) in the management system transmits the results of tasks such as analysis/classification of driving obstacles and updated information on driving obstacles back to micromobility, allowing micromobility users to It allows you to use it safely and conveniently.

Hereinafter, functions for micro-mobility and server necessary for the identification and management system for driving obstacles will be described in detail.

3 is a block diagram illustrating a micro-mobility (or micro-mobility device) 300 according to the present invention.

Referring to FIG. 3, the micro-mobility 300 includes a control unit 310, a driving unit 320, a motor 330, a communication unit 340, a position measurement unit 350, an impact detection sensor unit 360, and an image capture unit. It may include 370 and a display unit 380. As shown in FIG. 3, the micro-mobility 300 includes a rechargeable battery (not shown) that supplies driving power and a motor that transmits driving power to at least one wheel (not shown) by rotating by receiving power from the battery. Including 330.

The location measurement unit 350 is an electronic device that locates (or measures) the location of the micro mobility 300 and may be, for example, a GPS receiver. The position measuring unit 350 measures the position of the micro-mobility 300 when the micro-mobility 300 is running.

The image capturing unit 370 performs a function of capturing an image of the surroundings while the micro-mobility 300 is traveling. As an example of the image capturing unit 370, a 360 degree camera, which is a camera showing all directions of 360 degrees, may be considered. The 360-degree camera can take pictures of the surroundings, the sky, and the ground. Rather than using a device that fixes a plurality of cameras in each direction to the micro mobility 300, using a 360-degree camera can more accurately capture driving obstacles around the vehicle.

The impact amount detection sensor unit 360 performs a function of measuring the amount of impact by detecting the amount of impact applied to the running micro-mobility 300. As an example of the impact detection sensor unit 360, there is a gyro sensor. Since the gyro sensor is a sensor that uses the value of the angular velocity, which is the rotational speed of an object, it is also called an “angular velocity sensor”. Angular velocity can be calculated by converting the Coriolis force generated when an object rotates into an electrical signal. Coriolis force is a force that is proportional to the speed of a moving object and is perpendicular to the direction of motion. Since such a gyro sensor can know the rotation angle and inclination of a rotating object, it is used together with an acceleration sensor that measures the acceleration of an object or the intensity of an impact to effectively recognize motion. The gyro sensor provided in the micro-mobility 300 serves to balance the product by recognizing the direction in which the gyro sensor tilts the body.

The communication unit 340 transmits data to a server (or may be in various forms such as a central analysis computer, a cloud, etc.) by a method such as wireless communication or receives data from the server. The communication unit 340 includes information on the location of the micromobility 300 measured by the position measurement unit 350, information on the impact amount of the micromobility 300 measured by the impact detection sensor unit 360, and an image capture unit ( Image information captured while driving of the micromobility 300 at 370 may be transmitted to the server under the control of the controller 310.

In addition, the communication unit 340 may further transmit information about a usage time, a moving distance, and a boarding place of the micro-mobility 300 by the user of the micro-mobility 300 to the server.

The control unit 310 includes information on the location of the micro-mobility 300 measured by the position measurement unit 350, information on the amount of impact of the micro-mobility 300 measured by the impact detection sensor unit 360, and an image capture unit ( In 370, the communication unit 340 may control the transmission of image information captured by the micromobility 300 while driving to the server.

As an embodiment, the control unit 310 includes all information on the position measured in the entire movement path the micromobility has traveled, all information on the amount of impact measured in the entire movement path, and the image taken in the entire movement path. It is possible to control the communication unit 340 to transmit all of the information to the server.

As another embodiment, the controller 310 may control the communication unit 340 to transmit information on the impulse to the server only when the amount of impulse is measured above a predefined impulse value among the entire movement paths. In this case, the control unit 310 includes a measured impulse value, information on a location where the measured impulse value is measured, and a photograph taken from the measured position only when the impulse value is measured above a predefined impulse value by the communication unit 340. It can also be controlled to transmit information about the image to the server.

The controller 310 may control the communication unit 340 to transmit information about the user's use time of the micro-mobility 300, a travel distance, and a boarding place to the server.

The controller 310 performs the above-described operation using an algorithm for controlling the operation of the components in the micromobility 300 or a memory (not shown) that stores data about a program that reproduces the algorithm, and data stored in the memory. It may be implemented with a processor (not shown) that performs. In this case, the memory and the processor may be implemented as separate chips, respectively. Alternatively, the memory and processor may be implemented as a single chip.

The micro mobility 300 may include a display unit 380 as a user interface. The display unit 380 may receive an input from a user and display an operation state, and when data is received from a server or the like, the display unit 380 displays information on the received data so that the user can visually recognize it.

The display unit 380 displays operation on/off information of the micro mobility 300. The display unit 380 may display information on the amount of charge of the battery of the micro-mobility 300, or information on a movable distance and time available for movement to the micro-mobility 300. The display unit 380 may display a fully charged state and a discharged state of the battery. The display unit 380 may be formed of a flat panel display panel or a light emitting diode. The display unit 380 may display information received from the server (eg, updated information on a driving obstacle, etc.) according to the control of the controller 310 so that the user can visually view the information.

In FIG. 3, for convenience of explanation, it is described that one micromobility 300 transmits the measured information to the server, but in order to check and manage driving obstacles, many other micromobility also use the measured information while driving the route. It is assumed to be transmitted to the server.

4 is a diagram illustrating a flowchart of the operation of the micro-mobility 300 for the system for checking and managing driving obstacles according to the present invention.

Referring to FIG. 4, the micro-mobility 300 periodically/or aperiodically measures the amount of impact while driving (S410). The micro-mobility 300 captures an image around the moving path while driving (S410). The micro-mobility 300 measures its own position while driving (S410). The micro-mobility 300 may transmit the measured information to the server according to the instruction of the controller 310 (S430). Thereafter, the micro-mobility 300 may receive updated information on the driving obstacle factor from the server (S440). Here, the updated information on the driving obstacle may be, for example, information on a map/location in which the driving obstacle is displayed in a place where there is a driving obstacle, information on a location/map from which the driving obstacle is removed. The micro-mobility 300 may display the updated information on the driving obstacle factor on the display unit 380 according to the instruction of the controller 310 so that the user can check it.

5 is a block diagram illustrating a function of the server 400 according to the present invention.

Referring to FIG. 5, the server 500 for the system for checking and managing driving obstacles according to the present invention may include a control unit 510, a communication unit 520, and a memory 530.

The server 500 may be a network node of various types, such as a central analysis computer and a cloud. The communication unit 530 may receive information on the amount of impact of the micro-mobility measured from the micro-mobility, information on the measured location, and image information captured by the micro-mobility while driving. The controller 510 accumulates the data received from the micro-mobility 300 for a predetermined period and then analyzes it to divide the possibility of a driving obstacle into several steps (eg, five steps). The memory 530 may distinguish and store the possibility of driving obstacles for each step. For example, the control unit 510 determines the possibility that the memory 530 has a driving obstacle 1) 100 to 81%, 2) 80% to 61%, 3) 60% to 41%, 4) 40% to 21 %, 5) 20%~1%).

The control unit 510 may also obtain information on the frequency of use of the route, the driving time versus the distance, and the slope of the section based on information received from the micro-mobility (e.g., travel distance, use time, impact amount, photographed image, etc.). have. The control unit 510 may determine that there is a driving obstacle when measured and reported at a frequency greater than or equal to a predetermined frequency based on measurement information accumulated for a predetermined period.

As an example, the controller 510 can know that the detour frequency of the straight line distance is high based on information on the moving route and/or the usage time received from the micro-mobility, and classifies the detour of the straight distance as a driving obstacle. can do. In addition, the controller 510 may classify driving obstacle factors such as stopping while driving, increasing the amount of impact, and deceleration, based on information received from the micro-mobility.

The control unit 510 controls to store information by classifying each driving obstacle factor. Thereafter, the control unit 510 matches the classified information on the driving obstacles with the image information captured by the image capturing units of the micro-mobility and the image information based on the shooting time. In this way, the image information captured by the micro-mobility is used as visual information for identifying the driving obstacle factor in the server 500.

The controller 510 may display the analyzed/classified driving obstacle factors as visual information on a preset map. For example, when it is determined that there is a driving obstacle factor in a specific location on the map, the controller 510 may update the map information by displaying information on the driving obstacle factor classified for the specific location on the map. Through this, the user can easily recognize the area with risk factors through the visualized information displayed on the map.

The communication unit 520 may transmit information related to the updated map by displaying driving obstacle factors on the map to each micromobility. In addition, the controller 510 may control the communication unit 520 so that the communication unit 520 displays driving obstacle factors on the map with each micromobility and transmits information related to the updated map.

The control unit 510 transmits information on the updated map by displaying the driving obstacles to the manager of the server 500 to check the driving obstacles at the actual site so that the driving obstacles can be repaired/repaired/removed/changed. . Thereafter, when it is confirmed that the driving obstacle has been repaired/repaired/removed/changed at the actual site, the controller 510 reflects the changed information on the driving obstacle of the corresponding location to the system, and displays the changed information as visual information on the map. can do.

6 is a diagram illustrating a flowchart of the operation of the server 500 for the system for checking and managing driving obstacles according to the present invention.

Referring to FIG. 6, the server 500 may receive information on the location of micro-mobility measured from the micro-mobility, information on the amount of impact of the measured micro-mobility, and image capture information taken while driving of the micro-mobility. (S610). In addition, the server 500 may receive information about the user's micro-mobility usage time, travel distance, and boarding location from each micro-mobility (S610).

The server 500 may classify the driving obstacle factor based on information received from the micro-mobility and match the captured image information with the classified information (S620). The server 500 may visually display information on a driving obstacle factor on a map based on the classified information and image information matched to each of the classified information (S630). The server 500 transmits the changed/updated information in relation to the driving obstacle factor on the map to the micro-mobility (S640).

7 is a diagram summarizing functions between micro-mobility and a server required for a system for checking and managing driving obstacles according to the present invention.

Referring to FIG. 7, each of the plurality of micro-mobility transmits information on an impact amount measured by a server, image information photographed around a moving path, and information on a measured location. The server classifies driving obstacles for a specific location/section/time based on information received from each of the micro-mobility, and matches captured image information with the classified information. In addition, the server visually displays information on the driving obstacle factor on the map. In addition, the server may transmit information notifying that a driving obstacle has occurred for a specific location/section (eg, visually displaying driving obstacle factors on a map) to each of the plurality of micromobility.

When it is determined that the driving obstacle factor has been changed/repaired/removed by the administrator or the like, the server may display again on the map that the driving obstacle factor has been changed/repaired/removed. In addition, the server may transmit a map/information reflecting a visual indication indicating that a driving obstacle has been changed/removed/repaired to each micromobility.

Calculation of the driving quality index of the driving section of micro mobility

In a situation where many micro-mobility are driving on the road, the operation of each micro-mobility is described so that the server controlling the micro-mobility can calculate the driving quality index of the driving section (for convenience of explanation, a number of micro-mobility Among them, only the operation of a specific micromobility 300 will be described).

The impact amount detection sensor unit 360 of the micro-mobility detects the amount of impact applied to the running micro-mobility and measures the amount of impact. The image capturing unit 370 performs a function of capturing an image of the surroundings while the micro-mobility 300 is traveling. The image capturing unit 370 may more accurately capture driving obstacles (ie, obstacles) around the driving by using a 360-degree camera, and the position measuring unit 350 is While measuring the position, it is also possible to measure the position where there is a driving obstacle. The micro-mobility controller 310 may obtain information on the elapsed time, speed, moving distance, location, position of the obstacle, and the like of the micro-mobility for each section. As an example, for a specific section from A to B, which is one section among several sections, the control unit 310 of the micro mobility acquires information on the elapsed time, speed, moving distance, location, and location of an obstacle of the micro mobility. can do.

The micro-mobility controller 310 may control the communication unit 340 to transmit information on the elapsed time, speed, moving distance, position, and position of an obstacle of the micro-mobility to the server. As an embodiment, the control unit 310 of the micro-mobility includes all information on the position measured in the section from A to B in which the micro-mobility is driven, and all information on the amount of impact measured in the section from A to B in which the micro-mobility is driven. The communication unit 340 may control the communication unit 340 to transmit all information on the image of the obstacle taken in the section from A to B traveled to the server.

The control unit 510 of the server is based on information on the elapsed time, speed, moving distance, location, position of the obstacle, etc. of the micro-mobility for a section from A to B from a plurality of micro-mobility including the micro-mobility 300. The driving quality index can be calculated for the section from A to B.

8A and 8B are diagrams illustrating an example for describing a driving section of micro mobility.

Referring to FIG. 8A, one section is defined and described as an example among several sections. The driving section of micro mobility can be defined as a section from A (point) to B (point). The controller 510 of the server analyzes data of users (micro mobility) passing through the section from A to B. For example, the control unit 510 of the server has the micromobility in units of N hours (e.g., without a failure for N seconds (e.g., without a predetermined or more deceleration, a predetermined or more shock, a stop, or a predetermined or more direction change)) You can define the traveled section as a comfortable quality driving section, and you can check how many times there are peaceful quality sections in the section from A to B. The server calculates the ratio by dividing the number of confirmed quality quality sections by the total number of sections. In other words, the control unit 510 of the server may calculate the ratio of the N-second period of driving without obstacles in the predetermined driving period as the first annotation quality index. Here, the server can arbitrarily set N seconds according to predefined conditions.

The controller 510 of the server may divide a section from A to B based on information received from each micromobility. As an example, as shown in FIG. 8B, assume that if there is no obstacle in the section from A to B, it can be defined as 7 sections. In this case, as an ideal state, it can be analyzed that the entire section from A to B is a safe driving section. In this ideal state, the controller 510 of the server calculates the first driving quality index as 1 (7/7).

As shown in FIG. 8B, if the actual driving environment of micro mobility is divided into 14 sections from A to B, it can be seen that the peaceful driving section is 4 sections. In this case, the controller 510 of the server may know that the first driving quality index is 4/14 = 0.285. The controller 510 of the server interprets that as the first driving quality index is closer to 1, there are relatively no obstacles to the driving of micro-mobility such as deceleration, congestion, and shock, and the further away from 1, the section from A to B It can be interpreted that there are relatively many obstacles to the driving of micro-mobility, such as deceleration, congestion, and shock. Here, the first driving quality index is calculated based on driving information received or obtained by the controller 510 of the server from a plurality of micro-mobility.

The control unit 510 of the server can arbitrarily set the average speed when the micro-mobility travels smoothly or comfortably in the section from A to B as X (km/h). In this case, it is assumed that the average speed when each micromobility travels the section from A to B in an actual driving environment is analyzed as Y (km/h). Then, the controller 510 of the server may calculate the second driving quality index as follows.

2nd driving quality index = actual average speed/pre-set speed corresponding to a safe driving = Y/X

In this way, the controller 510 of the server may calculate the first driving quality index and the second driving quality index, respectively, as described above. In addition, the controller 510 of the server may calculate a final driving quality index based on the first driving quality index and the second driving quality index. As an example, the final quality index may be calculated as a first driving quality index ÷ a second driving quality index.

The external server performing the traffic control function, etc., receives information on the first driving quality index, the second driving quality index, and the final driving quality index, respectively, calculated for the sections from A to B as well as other sections from the server. can do. The external server may map the first, second and final driving quality index corresponding to each section on a map or the like based on the received information. Thereafter, the external server may transmit information on the result mapped to the server.

The controller 510 of the server may classify various sections into paths of various characteristics, such as a comfortable path, a congestion path, or a congestion path in a predetermined driving section based on the information on the mapped result. The communication unit 520 of the server is information that micromobility needs to be aware of based on the classified information, and route alarm/alarm information (e.g., comfortable route (section), congestion route (section), congestion) for each section. It can transmit information about the route (section)).

The micro-mobility communication unit 340 receives route alarm information from the server, and the micro-mobility control unit 310 controls the display unit 380 to display the received route alarm information on a user interface, and the display unit 380 ) Can display route alarm information on the user interface for the user to check. The user of the micro-mobility can check information on where a comfortable route, a congested route, and a congested route are in the predetermined driving section and refer to the driving.

9 is an exemplary diagram for explaining a method for calculating a driving quality index of a driving section of micro mobility.

For convenience of explanation, the case where there is one micromobility is shown in FIG. 9, but all of the plurality of micromobility performs the operation of the micromobility shown in FIG. 9.

Referring to FIG. 9, the control unit 310 of the micro-mobility includes an amount of impact measured for the micro-mobility in which the impact detection sensor unit 360 is running, image information on driving obstacles captured by the image capturing unit 370, and a location. The elapsed time, speed, and moving distance of the micro-mobility 300 for each section (for example, a specific section A to B) based on information on the location of the micro-mobility measured by the measurement unit 350, etc. Information such as a location and a location of an obstacle may be obtained (S910). For convenience of explanation, one section from A to B is illustrated as an example. However, when the micro-mobility is driving and traveling in another section, information on this other section may also be collected.

The micro-mobility control unit 310 may control the communication unit 340 to transmit information on the elapsed time, speed, moving distance, position, and position of an obstacle of the micro-mobility 300 to the server. The micro-mobility communication unit 350 may transmit information such as elapsed time, speed, moving distance, location, and location of an obstacle of the micro-mobility 300 acquired for a specific section A to B to the server (S920). .

The control unit 510 of the server includes information on the elapsed time, speed, moving distance, location, and location of obstacles of the micro-mobility 300 for a section from A to B from a plurality of micro-mobility including the micro-mobility 300. The first driving quality index, the second driving quality index, and the final driving quality index may be calculated for the section from A to B based on (S930). The controller 510 of the server transmits the first driving quality index, the second driving quality index, and the final quality index calculated for each section to an external server through which the communication unit 520 of the server can perform a traffic control function. It can be controlled to send to the organization's server).

The communication unit 520 of the server is an external server that performs a traffic control function, etc. under the control of the controller 510, and the first driving quality index and the second driving are calculated for not only the section A to B, but also the other sections. Information on the quality index, the final driving quality index, and the like may be transmitted (S940). The external server may map the first, second, and final driving quality index corresponding to each section based on the received information (S950). Thereafter, the external server may transmit information about the result mapped to the server (S960).

The communication unit 520 of the server is information to be noted based on the information on the received mapped result, and route alarm information for each section (e.g., a comfortable route (section), a congestion route (section)), a congestion route (section )) can be transmitted (S970). The micro-mobility communication unit 340 receives route alarm information from the server, and the micro-mobility control unit 310 controls the display unit 380 to display the received route alarm information on a user interface, and the display unit 380 ) Can display route alarm information on the user interface for the user to check.

A plan for micro-mobility to increase driving stability using location information of obstacles and IoT technology

As described above, when the micro-mobility is running, the micro-mobility position measuring unit 350 may measure the location of the micro-mobility, and may measure the location of the driving obstacle. Here, the coordinates of the location may be values measured through GNSS/GLONASS/Galileo/BeiDou, or the like. Recently, smartphones use GPS, GLONASS, Galileo, and BeiDou through a technology called GNSS (Global Navigation Satellite System). It can be said that these functions are built into the position measurement unit of micro mobility.

Micro-mobility can detect the slope of the driving road and the degree of loss of balance in micro-mobility. The impact amount detection sensor unit 360 of the micro-mobility may measure the amount of impact by detecting the amount of impact applied to the micro-mobility being driven. The micro-mobility communication unit 340 may transmit a corresponding position coordinate value, such as a degree of loss of balance when the micro-mobility loses balance more than a predetermined amount, an amount of impact detected when an amount of impact exceeds a predetermined amount, and the like, to the server. The controller 510 of the server may match a corresponding position coordinate value, such as a degree of loss of balance when the micro-mobile loses balance more than a predetermined amount, an amount of impact detected when an amount of impact exceeds a predetermined amount, and the like, and map it to a map.

The control unit 510 of the server is based on information on driving obstacles received from each micromobility and information on the corresponding position coordinate value, based on the driving risk of driving obstacles according to the degree of risk of driving obstacles. You can set a rating. In other words, the driving risk level according to the degree of risk is matched with respect to the location where there is a driving obstacle. For example, driving obstacles include a place under construction, an obstacle that obstructs driving away, an unpaved road, in front of a school, stairs, roadless places, steep downhill slopes, hurried uphill slopes, crosswalks, etc. There may be.

At this time, the driving risk level may be set differently according to the type of micro-mobility, a mobile chain. As an example, if a small obstacle is away from the driving road, it is not a great risk for a bicycle with 26 to 27 inches of wheels, but it may be a great risk for an 8-inch kickboard. As such, it is necessary to set the driving risk level differently according to the type/type/characteristic of micro-mobility. The criteria for taking different driving risk levels according to the type of mobile chain micro-mobility can be pre-defined and set by the server. That is, the controller 510 of the server may separately set a driving risk level for each driving obstacle factor for each micromobility type. In this way, the control unit 510 of the server may predefine a driving risk level in consideration of the type (or type or characteristic) of the micro-mobility and driving obstacles, and the driving that exists in the corresponding path of the corresponding micro-mobility being driven. Risk classes can be determined or extracted.

The micro-mobility location measurement unit 350 measures a driving location using location positioning technology, and the micro-mobility communication unit 340 transmits the measurement to a server based on IoT technology. The controller 510 of the server may determine the direction/path in which the micro-mobility travels by tracking the location of the micro-mobility based on the received location information of the micro-mobility. The controller 510 of the server determines whether there is a driving obstacle (or a known obstacle) input to the path corresponding to the determination result, and whether the driving obstacle is a driving risk level that may affect the corresponding micro-mobility while driving. You can decide. If it is determined as a driving risk level that may affect the corresponding micro-mobility, the communication unit 520 of the server may transmit operation information of the micro-mobility to secure driving safety to the micro-mobility through communication.

Here, the operation information corresponding to the driving risk level may include types such as deceleration driving, deceleration-stopping (eg, deceleration and stopping), warning signals (sound, light, etc.). The control unit 510 of the server may generate commands such as deceleration driving, deceleration-stopping, or warning signals (sound, light, etc.) as operation information of micro-mobility corresponding to the driving risk level. For example, the control unit 510 of the server, when there is a driving obstacle factor having a high driving risk level, a command to stop, and when a user of micro-mobility requires a degree of attention as a driving obstacle factor having a low driving risk level. Warning traffic lights can be created as motion information. In the case of generating an order such as a warning signal, there may be a place under construction in the route, an unpaved road, or passing in front of a school. In the case of generating a deceleration-stop command, it is a case where there is a stairway, a place without a road comes out, or a slope downhill is in a hurry.

The micro-mobility control unit 310 may check whether there is operation information of micro-mobility corresponding to a driving obstacle in a route expected by the server among the information received by the communication unit 340 at predetermined time intervals.

When the information received by the communication unit 340 includes information on deceleration driving, deceleration-stopping, or warning signals (sound, light, etc.), the micromobility control unit 310 causes the display unit 380 to display the information on the user interface. Can be controlled. In this way, the micro-mobility controller 310 may control the hardware of the micro-mobility to ensure driving safety of the micro-mobility based on motion information received from the server, and the like. Alternatively, the server may not only transmit motion information, but may control the micro-mobility driving operation by controlling the hardware of the micro-mobility after transmitting motion information to the micro-mobility.

Through the above-described method, a user of micro-mobility can increase driving stability by driving according to motion information corresponding to a risk level for a driving obstacle on a route.

Geo-fence is a word that combines'Geo', a prefix representing the meaning of'earth' and'soil', and'fence', a word meaning fence. It means “perimeter for a real-world geographic area.)”. These geo-fences can be created whenever necessary (for example, to distribute promotional materials in a space with a radius of 100 m around a specific store), or a pre-determined area can serve as a geo-fence. Yes (for example, the School Zone around an elementary school or an administrative district in Jongno-gu, Seoul, etc.).

When it is determined that the micro-mobility is out of the geo-fence, the control unit 510 of the server generates a driving-off command, and the communication unit 520 transmits a micro-mobility driving off command to the micro-mobility, so that the user can no longer use the micro-mobility. It can be controlled not to run.

FIG. 10 is an exemplary flowchart illustrating a method of improving driving stability by using location information of driving obstacles and IoT technology by micro-mobility.

Referring to FIG. 10, the micro-mobility position measurement unit 350 measures a position while driving (S1010), and the micro-mobility communication unit 340 stores information such as a position measured using an IoT-based technology, etc. It can be transmitted to (S1020).

The control unit 510 of the server is based on information on driving obstacles received from each micromobility and information on the corresponding position coordinate values, based on the risk rating of the driving obstacle for the location where the driving obstacle is located, according to the degree of risk of the driving obstacle. Can be set. In other words, the driving risk level according to the degree of risk is matched with respect to the location where there is a driving obstacle.

The controller 510 of the server may determine the direction/path in which the micro-mobility travels by tracking the location of the micro-mobility based on the received information such as the location of the micro-mobility (S1030). The controller 510 of the server may check whether there is a driving obstacle factor input to a corresponding path, and determine or extract a driving risk level of the driving obstacle factor existing in the corresponding path for the corresponding micro-mobility (S1040). . If it is determined as a driving risk level that may affect the micro-mobility, the controller 510 of the server generates operation information of the micro-mobility to secure driving safety (S1050), and the communication unit 520 of the server The generated operation information (eg, information such as an operation command) may be transmitted to micro-mobility through communication such as an IoT-based technology (S1060). On the other hand, driving obstacles that exist in the driving route are considered to have a high driving risk rating for other types of micro-mobility, and thus may affect driving for other types of micro-mobility, but the driving obstacles affect driving for the corresponding micro-mobility. If it is determined that it is not crazy, the controller 510 of the server may not generate motion information and the communication unit 520 of the server may not transmit the motion information to the corresponding micro-mobility.

The micro-mobility controller 310 may monitor whether there is motion information at predetermined time intervals and control a driving motion according to the motion information. That is, the micro-mobility control unit 310 may check whether there is operation information of micro-mobility corresponding to the driving obstacle factor in the route expected by the server among the information received by the communication unit 340 at a predetermined time interval ( S1070). When the information received by the communication unit 340 includes information on deceleration driving, deceleration-stopping, or warning signals (sound, light, etc.), the micromobility control unit 310 causes the display unit 380 to display the information on the user interface. It can be controlled (S1070).

In this way, the micro-mobility controller 310 may control the hardware of the micro-mobility to ensure driving safety of the micro-mobility based on motion information received from the server, and the like. Alternatively, the server may not only transmit motion information, but may control the driving operation by controlling the hardware of the micro-mobility after transmitting motion information to the micro-mobility.

Through the above-described method, a user of micro-mobility can improve driving stability by driving according to operation information according to a risk level for driving obstacles in a section.

A method of driving micro-mobility in remote locations using Internet of Things (IoT) and augmented reality (AR) technology

Virtual reality (VR) and augmented reality (AR), which were difficult to distinguish just 2-3 years ago, are now taking their place in life. VR (Virtual Reality) is a continuous increase in contents that allow you to experience virtually without going to a specific place for concerts or travel due to the spread of VR headsets and 360-degree cameras, and AR (Augmented Reality) is, for example, , As in Pokemon Go, virtual Pokémon appearing around the user and parts that can be hunted are in the form of adding virtual information based on reality.

The definition of augmented reality (AR) is characterized by real-time interaction in a three-dimensional space in addition to real and virtual images, so try on clothes, arrange furniture, or guide the way to taste through a virtual mirror. Various services such as receiving are starting. In addition, technologies that can control Internet of Things (IoT) products with specific actions set through augmented reality technology are also being developed.

VR content is 30,000 horizontally and 2,400 vertically based on a still screen, and requires a total of 720 million pixels of information. Considering the left and right rotation, the total required pixel information reaches about 2.5 billion pieces. In addition, it is necessary to process 60 to 120 frames per second to prevent motion blur. That much data should be able to be transmitted. When a human neural response is required, such as AR, it is essential to secure ultra-low latency. Considering the interaction with the user, the network delay should be even shorter. The maximum speed in the human body of nerve stimulation is 100m/s, and the time required to transmit a signal from the hand to the brain is approximately 10ms. The difference in the delay speed that occurs between the user's movement and the change of the AR screen is the reason that leads to loss of direction or dizziness. It takes about 7ms to adjust the eye and head movement. In other words, VR/AR can be enjoyed smoothly only when the ultra-low latency of 5G is secured.

11 is an example of a block diagram illustrating a function of a device (eg, an AR device) for remotely controlling micro-mobility.

Referring to FIG. 11, an AR device for remote control may include a control unit 1110, an image capturing unit 1120, and a communication unit 1130. The AR device for remote control may be a device that remotely controls micro-mobility. The AR device for remote control may control the driving operation of the micro-mobility through a set operation. Various control of micro-mobility is possible through image recognition using augmented reality technology without a physical remote control or an On/Off switch controlled through electricity supply.

The image capturing unit 1120 photographs and scans a specific path along which the micro-mobility travels. The controller 110 may generate a 3D image map. The communication unit 1130 may transmit the captured image information to the server.

12 is an example of a block diagram showing a configuration of a micro-mobility for explaining a method of driving a micro-mobility in a remote location using Internet of Things (IoT) and augmented reality (AR) technologies.

The micro mobility 400 according to the present embodiment can be remotely controlled without being controlled by a user.

Referring to FIG. 12, the micromobility 400 according to the present embodiment includes a control unit 310, a driving unit 320, a motor 330, a communication unit 340, a position measuring unit 350, and an impact amount shown in FIG. 3. The detection sensor unit 360, the image capture unit 370, and the display unit 380 may be included, and additionally, a front obstacle detection unit 385 and a steering unit 390 may be further included. The control unit 310 may additionally perform an operation processing function according to the present embodiment in addition to the function described in FIG. 3.

The micro-mobility 400 includes an image capturing unit 370 and a communication unit 340. The image capturing unit 370 generates image information by capturing a driving obstacle, and the communication unit 340 provides a server through communication. It transmits image information such as driving obstacles photographed with. In the case that communication between the micro-mobility 400 and the server is disconnected during the remote control process, the micro-mobility 400 may not receive remote control and a collision with obstacles in the front may occur, thus preventing such a collision. For this purpose, the front obstacle detection unit 385 detects an obstacle in front so that the micro-mobility 400 can stop driving.

The steering unit 390 is a device for arbitrarily changing the direction of micro-mobility, and is also referred to as a steering system.

13 is an example of a flowchart illustrating a method of driving a micro-mobility in a remote location using Internet of Things (IoT) and augmented reality (AR) technologies.

Referring to FIG. 13, the image capture unit 370 of the micro-mobility 400 captures a 360-degree live view while driving (S1310), and captures image information through communication (eg, IoT-based technology). It can be transmitted to the server (S1320). The image capturing unit 1120 of the apparatus 1100 for remotely controlling micro-mobility also photographs 360 degrees, and the communication unit 1130 transmits the captured image information to the server (S1325). The communication unit 520 of the server transmits image information captured by the device 1100 for remote control to the micromobility 400 (S1330), and the device 1100 for remote control transfers the image information captured by the micromobility 400 to the device 1100 for remote control. Image information is transmitted (S1335).

The control unit 510 of the server corrects the image information received from both sides (S1340). The reason for correcting the image information is image distortion (e.g., distortion such as a side-rear view mirror of a micro-mobility), speed, side/front arrangement, errors in the camera and the naked eye in the real outdoors, and delay time in communication. This is because there is an error due to the problem and needs to be corrected. The control unit 510 of the server checks a communication connection (connection) state between a micro-mobility and a device for remotely controlling the micro-mobility, and both sides and the server (S1340). The control unit 510 of the server can check the communication connection status by analyzing information on the path of the micromobility 400. This check of the communication connection status is for safe remote operation when the communication connection is not perfect.

The control unit 310 of the micro-mobility 400 may continuously check the communication connection state with the server at a predetermined short time interval, such as a processing unit, and control the operation to take into account a case in which the communication connection is not smooth. The control unit 310 of the micro-mobility 400 may continuously check the current state and an operation to be performed in the driving section until the stop is possible (S1350). The control unit 310 of the micro-mobility 400 controls the micro-mobility 400 and the server to reduce the likelihood of an accident when the communication connection is disconnected, and to smoothly perform remote operation when the communication is connected. As an example, it is assumed that the micro-mobility 400 enters a specific place (for example, rather than a crossing or an intersection). At this time, the server may know whether the micro-mobility 400 is a crosswalk or an intersection through location information or the like. If the micro-mobility 400 attempts to enter the crosswalk and the communication connection between the micro-mobility 400 and the server is disconnected, the communication unit 520 of the server is a device for remote control, and the micro-mobility is a specific place (e.g. For example, a message indicating that a communication connection has been disconnected although entering a crosswalk) may be sent (S1360). As an example of such a message, when entering a crosswalk with sufficient time for micro-mobility to cross, and when communication is interrupted, it may be dangerous, and when communication is disconnected after entering the crosswalk, the impact detection unit 360 at the crosswalk. Based on the detection of the amount of impact of, the micro-mobility may be driven to the end of the crosswalk so as not to obstruct the driving of cars.

In a situation where the micro-mobility 400 is disconnected from communication with the server, the device for remote control provides the micro-mobility to allow the micro-mobility to escape from a dangerous area (i.e., a specific place (for example, a pedestrian crossing)). A message to be controlled may be transmitted (S1370). The control unit 310 of the micro-mobility 400 is a driving unit 320 so that the micro-mobility 400 disconnected from communication with the server based on a message received from the device for remote control can be driven by remote control and completely escape from the crosswalk. ) And a control signal to the motor 330. When the micro-mobility 400 completely deviates from the crosswalk, it may be considered to be out of the danger zone.

In this way, when the micro-mobility 400 is disconnected from communication with the server, the device for remote control controls the micro-mobility 400 remotely to prevent a situation in which the micro-mobility 400 stops at a pedestrian crossing. You can make sure that it does not interfere with the driving of cars.

Furthermore, when the communication with the server and the remote control device is cut off, the micro-mobility 400 recognizes this, and is based on the information received so far, especially now. If the location is a dangerous area (e.g., a crosswalk), autonomous driving can be performed to get out of the dangerous area based on the current location and the size information or boundary information of the dangerous area that has been received so far (before communication is cut off). . For example, in a situation where you go straight on a crosswalk of 10M in length, if communication is disconnected at 5M in the middle, the control unit 310 of the micromobility 400 determines that the current micromobility is 10M in length based on the information of the communication disconnection. Recognize that it is on the crosswalk of and the location is about 5m away from the starting point.

In that state, if it detects that the communication is incapable of not being able to remotely control and receiving information from the server, the control unit autonomously drives the remaining 5M straight ahead based on the location so far, but determines the end point for safety. An emergency escape from the hazardous area can be made by moving a slightly more distance (e.g. 6M). .

The embodiments described above are those in which constituent elements and features of the present invention are combined in a predetermined form. Each component or feature should be considered optional unless explicitly stated otherwise. Each component or feature may be implemented in a form that is not combined with other components or features. In addition, it is also possible to constitute an embodiment of the present invention by combining some components and/or features. The order of operations described in the embodiments of the present invention may be changed. Some configurations or features of one embodiment may be included in other embodiments, or may be replaced with corresponding configurations or features of other embodiments. It is obvious that the embodiments may be configured by combining claims that do not have an explicit citation relationship in the claims or may be included as new claims by amendment after filing.

It is apparent to those skilled in the art that the present invention can be embodied in other specific forms without departing from the essential features of the present invention. Therefore, the detailed description above should not be construed as restrictive in all respects and should be considered as illustrative. The scope of the present invention should be determined by reasonable interpretation of the appended claims, and all changes within the equivalent scope of the present invention are included in the scope of the present invention.

The apparatus described above may be implemented as a hardware component, a software component, and/or a combination of a hardware component and a software component. For example, the devices and components described in the embodiments include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications executed on the operating system. Further, the processing device may access, store, manipulate, process, and generate data in response to the execution of software. For the convenience of understanding, although it is sometimes described that one processing device is used, one of ordinary skill in the art, the processing device is a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it may include. For example, the processing device may include a plurality of processors or one processor and one controller. In addition, other processing configurations are possible, such as a parallel processor. The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired or processed independently or collectively. You can command the device. Software and/or data may be interpreted by a processing device or, to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodyed in a transmitted signal wave. The software may be distributed over networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -A hardware device specially configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those produced by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operation of the embodiment, and vice versa.

Although the embodiments have been described by the limited drawings, various modifications and variations are possible from the above description to those of ordinary skill in the art. For example, the described techniques are performed in a different order from the described method, and/or components such as systems, structures, devices, circuits, etc. described are combined or combined in a form different from the described method, or other components Alternatively, even if substituted or substituted by an equivalent, an appropriate result can be achieved.

Claims (14)

A communication unit for receiving location information from the driving micro-mobility;
Determine a driving route of the micro-mobility based on the received location information,
Checking whether there is a driving obstacle factor in the determined path, and determining a driving risk level of the driving obstacle factor for the micro-mobility existing in the determined path,
When it is determined that the driving risk level may affect the driving of the micro-mobility, the location of the micro-mobility is tracked based on the received location information, and motion information for the micro-mobility corresponding to the driving risk is generated. Including a control unit,
The communication unit transmits the operation information for the micro-mobility to the micro-mobility, the server for controlling the driving safety of the micro-mobility. The method of claim 1,
The driving risk level of the driving obstacle factor is determined based on the type of the micro-mobility, and the server for controlling driving safety of the micro-mobility. The method of claim 2,
The type of the micro-mobility is a micro kickboard, a server for controlling the driving safety of the micro-mobility. The method of claim 1,
The controller is a server for controlling driving safety of micro-mobility, generating different motion information for each driving risk level. The method of claim 4,
The operation information is any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command, the server for controlling the driving safety of micro-mobility. The method of claim 5,
The driving off command is generated when the micro-mobility deviates from a geo-fence. The server for controlling driving safety of the micro-mobility. In micro-mobility that controls driving motion to increase driving stability,
A position measuring unit that measures the position of the micro-mobility while driving;
A communication unit that transmits information on the measured location to a server, and receives motion information corresponding to a driving risk level existing in a driving route from the server; And
Including a control unit for controlling a driving motion according to the motion information,
The control unit monitors whether or not the motion information is received at predetermined time intervals,
The driving risk level is determined based on a driving obstacle present in the driving route and a type of the micro-mobility. The method of claim 7,
The motion information is any one of a stop command, a command to stop after decelerating, a decelerating driving command, a warning signal, and a driving off command. The method of claim 7,
The type of micro mobility is a micro kickboard, micro mobility. In the method for the server to control the driving stability of micro-mobility,
Receiving location information from the driving micro-mobility;
Determining a driving route of the micro-mobility based on the received location information;
Determining whether a driving obstacle exists in the determined path and determining a driving risk level of the driving obstacle for the micro-mobility existing in the determined path;
When it is determined that the driving risk level may affect the driving of the micro-mobility, the location of the micro-mobility is tracked based on the received location information, and motion information for the micro-mobility corresponding to the driving risk is generated. The step of doing; And
And transmitting operation information for the micro-mobility to the micro-mobility by the communication unit. The method of claim 10,
The operation information is generated differently according to the driving risk class, a method for controlling the driving stability of micro-mobility. The method of claim 10,
The operation information is any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command. In the method of controlling a driving operation for improving driving stability by micro-mobility,
Measuring the position of the micro-mobility while driving;
Transmitting information on the measured location to a server;
Receiving operation information corresponding to a driving risk level existing in a driving route from the server; And
Including the step of controlling a driving motion according to the motion information,
Monitoring whether the motion information is received at predetermined time intervals in order to control the driving motion,
The driving risk level is determined based on a driving obstacle present in the driving route and a type of the micro-mobility. The method of claim 13,
The operation information is any one of a stop command, a command for decelerating to stop, a decelerating driving command, a warning signal, and a driving off command.

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