Server and processing method of server

Abstract

A server according to one embodiment of the present invention may include a communication unit and a processing unit that receives video data from a personal mobility through the communication unit, determines movement direction information including departure area information of the personal mobility and arrival area information of the personal mobility based on the video data, predicts the level of demand for the personal mobility by region based on the movement direction information, and sets a service area of ​​the personal mobility based on the level of demand.

Description

Technology Field

[0001] The present invention relates to a server for setting a service area for personal mobility and a method for controlling the same. Background Technology

[0002] Recently, with the expansion of the market for personal mobility, which is a single-person electric-powered mode of transportation, the number of users utilizing personal mobility is increasing.

[0003] In addition, personal mobility business operators provide a service that allows personal mobility to be rented and returned within a certain service area, and establish the service area by considering the demand for personal mobility and the redistribution of personal mobility.

[0004] Users performing the redistribution of personal mobility can check the recommended redistribution locations and quantities of personal mobility on the application, and can distribute or place the corresponding quantity of personal mobility at the corresponding locations.

[0005] However, there is a problem in that the accuracy is low when determining the redistribution locations and quantities of personal mobility by predicting demand using only the location information of personal mobility. The problem to be solved

[0006] A server for solving the aforementioned problem can determine the direction of movement of personal mobility and, based on the direction of movement, predict demand by region. means of solving the problem

[0007] A communication unit according to one embodiment of the present invention and a processing unit that receives video data from a personal mobility through the communication unit, determines movement direction information including departure area information of the personal mobility and arrival area information of the personal mobility based on the video data, predicts the level of demand for the personal mobility by region based on the movement direction information, and sets a service area of ​​the personal mobility based on the level of demand.

[0008] The processing unit determines the number of personal mobility units in which the arrival area of ​​the personal mobility unit is a first area based on the arrival area information of the personal mobility unit, and if the determined number of personal mobility units is greater than a first value, it can predict that the demand for the personal mobility unit in the first area is a decrease.

[0009] The processing unit determines the number of personal mobility units whose starting area is a second area based on the starting area information of the personal mobility units, and if the determined number of personal mobility units is greater than the second value, it can predict that the demand for personal mobility units in the second area decreases.

[0010] The above server further includes a display, and the processing unit can process the display to display the demand for personal mobility by region.

[0011] The processing unit can compare the distance between the location of the personal mobility located in the area of ​​decreased demand and the area of ​​increased demand, and based on the result of the comparison, set the service area of ​​the personal mobility.

[0012] The processing unit receives traffic information through the communication unit, determines surrounding situation information of the personal mobility based on the traffic information, and can predict the demand for the personal mobility by region based on at least one of the plurality of surrounding situation information.

[0013] The processing unit can determine usage information of the personal mobility based on the image data, and predict the level of demand for the personal mobility by region based on the usage information.

[0014] Based on the usage information, the processing unit can determine at least one of the following: the ratio of the number of personal mobility vehicles moving without the user riding on them compared to the number of personal mobility vehicles riding on them and driving on them; the ratio of the number of personal mobility vehicles moving slower than the pedestrian's speed compared to the number of personal mobility vehicles moving slower than the pedestrian's speed; and the ratio of the number of personal mobility vehicles with two or more users riding on them compared to the number of personal mobility vehicles with one user riding on them.

[0015] Based on the usage information, the processing unit can predict that the demand for the personal mobility decreases if, in at least one of the following cases, the ratio of the number of personal mobility vehicles moving without a user riding on it to the number of personal mobility vehicles riding on it is greater than a predetermined first ratio, or the ratio of the number of personal mobility vehicles moving at a speed less than the speed of a pedestrian to the number of personal mobility vehicles moving at a speed less than the speed of a pedestrian is greater than a predetermined second ratio.

[0016] The processing unit can predict that the demand for the personal mobility increases when the ratio of the number of personal mobility vehicles with two or more users on board to the number of personal mobility vehicles with one user on board is greater than a predetermined third ratio.

[0017] Based on the usage volume of the personal mobility by time of day and the rental and return locations of the personal mobility by time of day, the demand for the personal mobility by region can be predicted.

[0018] A processing method of a server according to another embodiment of the present invention may include receiving image data from personal mobility, determining movement direction information including departure area information of the personal mobility and arrival area information of the personal mobility based on the image data, predicting the level of demand for the personal mobility by region based on the movement direction information, and setting a service area of ​​the personal mobility based on the level of demand.

[0019] Based on the arrival area information of the personal mobility, the number of personal mobilitys whose arrival area is the first area is determined, and

[0020] If the number of personal mobility devices determined above is greater than the first value, it may include predicting that the demand for personal mobility devices in the first region decreases.

[0021] Based on the departure area information of the personal mobility, the number of personal mobilitys whose departure area is the second area is determined, and

[0022] If the number of personal mobility devices determined above is greater than the second value, it may include predicting that the demand for personal mobility devices in the second region decreases.

[0023] It may include displaying the demand for personal mobility by region as described above.

[0024] It may include comparing the distance between the location of the personal mobility located in a region of decreased demand and a region of increased demand, and based on the result of the comparison, setting the service area of ​​the personal mobility.

[0025] It may include receiving traffic information, determining surrounding situation information of the personal mobility based on the traffic information, and predicting the level of demand for the personal mobility by region based on at least one of the plurality of surrounding situation information.

[0026] Based on the above video data, it may include determining usage information of the personal mobility and, based on the usage information, predicting the level of demand for the personal mobility by region.

[0027] Based on the above usage information, it may include determining at least one of the following: the ratio of the number of personal mobility vehicles moving without the user riding on them compared to the number of personal mobility vehicles riding on them and driving on them; the ratio of the number of personal mobility vehicles moving slower than the pedestrian's speed compared to the number of personal mobility vehicles moving slower than the pedestrian's speed; and the ratio of the number of personal mobility vehicles with two or more users riding on them compared to the number of personal mobility vehicles with one user riding on them.

[0028] Based on the above usage information, if the ratio of the number of personal mobility vehicles moving without a user riding on them to the number of personal mobility vehicles riding on them is greater than a predetermined first ratio, or if at least one of the ratio of the number of personal mobility vehicles moving at a speed less than a pedestrian's speed to the number of personal mobility vehicles moving at a speed less than a pedestrian's speed is greater than a predetermined second ratio, the level of demand for the personal mobility vehicles may be predicted to decrease.

[0029] It may include predicting that the demand for the personal mobility increases when the ratio of the number of personal mobility vehicles with two or more users on board to the number of personal mobility vehicles with one user on board is greater than a predetermined third ratio.

[0030] It may include predicting the level of demand for the personal mobility by region based on the usage volume of the personal mobility by time of day and the rental and return locations of the personal mobility by time of day. Effects of the invention

[0031] According to one embodiment of the present invention, there is an advantage in that more users can be secured by using a small number of personal mobility devices by more accurately determining high-demand areas.

[0032] In addition, it has the effect of reducing operating costs for collecting personal mobility in areas with low demand.

[0033] There is an effect of increasing users' preference for personal mobility through demand-tailored services. Brief explanation of the drawing

[0034] FIG. 1 is a block diagram showing the configuration of a service area setting system including personal mobility and a server according to one embodiment of the present invention. FIG. 2 is a block diagram of a server according to one embodiment of the present invention. FIG. 3 is a diagram illustrating a method for setting a service area of ​​personal mobility according to an embodiment of the present invention. FIG. 4 is a diagram illustrating a method for setting a service area of ​​personal mobility according to another embodiment of the present invention. FIG. 5 is a diagram illustrating a method for setting a service area of ​​personal mobility according to another embodiment of the present invention. FIG. 6 is a diagram showing a method for displaying a service area setting of personal mobility according to an embodiment of the present invention. FIG. 7 is a flowchart illustrating a method for setting a service area of ​​personal mobility according to an embodiment of the present invention. FIG. 8 is a flowchart illustrating a method for setting a service area of ​​personal mobility according to another embodiment of the present invention. Specific details for implementing the invention

[0035] Throughout the specification, the same reference numerals refer to the same components. This specification does not describe all elements of the embodiments, and general content in the art to which the invention pertains or content that overlaps between embodiments is omitted. The terms 'part, module, component, block' used in the specification may be implemented in software or hardware, and depending on the embodiments, a plurality of 'parts, modules, components, blocks' may be implemented as a single component, or a single 'part, module, component, block' may include a plurality of components.

[0036] Throughout the specification, when a part is described as being "connected" to another part, this includes not only cases where they are directly connected but also cases where they are indirectly connected, and indirect connections include connections made via a wireless communication network.

[0037] Furthermore, when it is stated that a part "includes" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0038] Throughout the specification, when it is stated that a component is located "on" another component, this includes not only cases where a component is in contact with another component, but also cases where another component exists between the two components.

[0039] Terms such as "first," "second," etc., are used to distinguish one component from another, and the components are not limited by the aforementioned terms.

[0040] Singular expressions include plural expressions unless there is an obvious exception in the context.

[0041] In each step, identification codes are used for convenience of explanation and do not describe the order of the steps; the steps may be performed differently from the specified order unless a specific order is clearly indicated in the context.

[0042] The operating principle and embodiments of the present invention will be described below with reference to the attached drawings.

[0043] FIG. 1 is a block diagram showing the configuration of a service area setting system including personal mobility and a server according to one embodiment of the present invention.

[0044] Referring to FIG. 1, a service area setting system (1) according to one embodiment includes a server (10), personal mobility (20) and a network (30).

[0045] The server (10) determines movement direction information including departure area information of the personal mobility (20) and arrival area information of the personal mobility (20) based on video data received from the personal mobility (20), predicts the demand for the personal mobility (20) by region based on the movement direction information, and can set a service area for the personal mobility based on the demand for each region.

[0046] To this end, the server (10) can perform wireless communication with the personal mobility (20) through the network (30). The server (10) can perform communication with the network (30) via wired or wireless means. At this time, wired communication and wireless communication may use previously known communication techniques.

[0047] Personal mobility (20) is a single-person means of transportation powered by electricity and may include electric wheels, electric scooters, electric bicycles, micro electric vehicles, etc. The types of personal mobility (20) are not limited to the above examples and may include any single-person means of transportation powered by electricity without limitation.

[0048] Personal mobility (20) can perform wireless communication with the server (10) through the network (30) and can transmit video data to the server (10).

[0049] The network (30) can support communication between the server (10) and the personal mobility (20) and may be at least one of a telecommunication network, for example, a computer network (e.g., LAN or WAN), the Internet, or a telephone network. However, the type of network (30) is not limited to the above examples and may include any network for supporting communication without limitation.

[0050] FIG. 2 is a control block diagram of a server according to one embodiment of the present invention.

[0051] Referring to FIG. 2, the server (10) may include a communication unit (110) and a processing unit (100) that receives video data from a personal mobility (20) through the communication unit (110), determines movement direction information including departure area information of the personal mobility (20) and arrival area information of the personal mobility (20) based on the video data, predicts the demand for the personal mobility (20) by region based on the movement direction information, and sets a service area for the personal mobility (20) based on the demand for the personal mobility (20).

[0052] The communication unit (110) is connected to the network (30) via a wired or wireless connection and can transmit and receive data with the personal mobility (20). For example, the communication unit (110) can receive video data from the personal mobility (20).

[0053] At this time, the video data includes images of the front and surroundings of the personal mobility (20) and can be obtained through a camera provided on the personal mobility (20).

[0054] The server (10) may restrict the functions of the personal mobility (20) when it determines, based on a global positioning system (GPS), that the personal mobility (20) is moving out of the service area. For example, the server (10) may restrict the functions of the personal mobility (20) that is moving out of the service area, such as restricting the return of the personal mobility (20) or restricting the speed of the personal mobility (20).

[0055] The display unit (120) can display the demand level by region.

[0056] It may include a storage unit (not shown) that stores various information necessary for controlling the server (10). More specifically, the storage unit (not shown) may store location information of the personal mobility (20), usage amount of the personal mobility (20) by time period, rental and return location information of the personal mobility (20) by time period, and the quantity of rentals and returns of the personal mobility (20) by time period.

[0057] The processing unit (100) can collect movement direction information including departure area information and arrival area information of the personal mobility (20) based on GPS information and image data received from the personal mobility (20).

[0058] The processing unit (100) can determine the area where the personal mobility (20) arrives based on the arrival area information of the personal mobility (20). The processing unit (100) can determine the number of personal mobility (20) for which the area where the personal mobility (20) arrives is the first area.

[0059] The processing unit (100) can compare the number of personal mobility (20) whose arrival area is the first area with a predetermined first value. If the number of personal mobility (20) whose arrival area is the first area is greater than the first value, the processing unit (100) can predict that the demand for personal mobility (20) in the first area is decreasing.

[0060] The processing unit (100) can determine the region from which the personal mobility (20) departs based on the departure region information of the personal mobility (20). The processing unit (100) can determine the number of personal mobility (20) whose departure region is a second region.

[0061] The processing unit (100) can compare the number of personal mobility (20) whose starting area is the second area with a predetermined second value. If the number of personal mobility (20) whose starting area is the second area is greater than the second value, the processing unit (100) can predict that the demand for personal mobility (20) in the second area is decreasing.

[0062] That is, in the first area where many personal mobility vehicles (20) arrive, there are many returns of personal mobility vehicles, so it is predicted that there will be few additional personal mobility vehicles (20) needed, and in the second area where many personal mobility vehicles (20) depart, there are many rentals of personal mobility vehicles, so it is predicted that there will be many additional personal mobility vehicles (20) needed.

[0063] The processing unit (100) can determine the number of additional personal mobility (20) required in a first region where demand is increasing. The processing unit (100) can determine the number of personal mobility (20) located in a second region where demand is decreasing, and determine the number of personal mobility (20) that can be moved to another region.

[0064] The processing unit (100) can display a first region where the demand level increases and a second region where the demand level decreases on the display unit (120). More specifically, the first region where the demand level of the personal mobility (20) increases can be displayed in red, and the second region where the demand level of the personal mobility (20) decreases can be displayed in blue, but it goes without saying that various display methods can be used so that the user can intuitively determine the demand level for the personal mobility (20).

[0065] Additionally, the processing unit (100) can display the number of personal mobility vehicles (20) required in a first region where demand is increasing on the display unit (120). The processing unit (100) can display the number of personal mobility vehicles (20) that can be moved to the first region in a second region where demand is decreasing on the display unit (120).

[0066] The processing unit (100) can determine location information of personal mobility (20) located in an area where demand is decreasing. The processing unit (100) can determine the distance between the location of personal mobility (20) located in an area where demand is decreasing and an area where demand is increasing.

[0067] The processing unit (100) can set a service area to redistribute personal mobility (20) located in an area where demand is decreasing and personal mobility (20) located in an area where demand is increasing to an area where demand is increasing, by having a short distance between the location of the personal mobility (20) and the area where demand is increasing.

[0068] In other words, based on short distances and directions, personal mobility (20) can be redistributed to areas with increasing demand, thereby establishing a service area for personal mobility (20) with a more efficient route.

[0069] The processing unit (100) can determine the usage information of the personal mobility (20) based on GPS location information and image data.

[0070] Here, the usage information of the personal mobility (20) may include at least one of the number of personal mobility (20) being driven with a user on board, the number of personal mobility (20) moving without a user on board, the number of personal mobility (20) moving at a speed smaller than that of a pedestrian, the number of personal mobility (20) moving at a speed smaller than that of a pedestrian, the number of personal mobility (20) with one user on board, and the number of personal mobility (20) with two or more users on board.

[0071] At this time, the personal mobility (20) that moves without the user riding on it may mean that the user does not ride on the personal mobility (20) but drags it along.

[0072] Based on usage information of the personal mobility (20), the processing unit (100) can determine at least one of the following: the ratio of the number of personal mobility (20) that is moving without a user riding on it compared to the number of personal mobility (20) that is moving with a user riding on it; the ratio of the number of personal mobility (20) that is moving slower than the pedestrian's speed compared to the number of personal mobility (20) that is moving slower than the pedestrian's speed; and the ratio of the number of personal mobility (20) that is riding with two or more users compared to the number of personal mobility (20) that is riding with one user.

[0073] For example, in a specific area, if the ratio of the number of personal mobility vehicles (20) that are moving without a user riding on them to the number of personal mobility vehicles (20) that a user is riding on and driving is greater than a predetermined first ratio (e.g., 30%), the processing unit (100) can determine that it is difficult to ride on and drive the personal mobility vehicle (20) due to the influence of the surrounding environment and predict that the area is a region where the demand for personal mobility vehicles (20) decreases.

[0074] For example, in a specific area, if the ratio of the number of personal mobility vehicles (20) that are slower than the pedestrian's movement speed to the number of personal mobility vehicles (20) that are faster than the pedestrian's movement speed is greater than a predetermined second ratio (e.g., 50%), the processing unit (100) can determine that it is difficult to ride and drive the personal mobility vehicle (20) due to the influence of the surrounding environment, and thus predict that the area is a region where the demand for personal mobility vehicles (20) decreases.

[0075] For example, in a specific area, if the ratio of the number of personal mobility vehicles (20) with two or more users riding compared to the number of personal mobility vehicles (20) with one user riding is greater than a predetermined third ratio (e.g., 20%), the processing unit (100) can determine that two people are riding because there is a shortage of personal mobility vehicles (20) and predict that it is an area where demand increases.

[0076] The processing unit (100) can receive traffic information through the communication unit (110). Based on the traffic information, the processing unit (100) can determine the surrounding situation information of the personal mobility (20).

[0077] Here, traffic information may include road traffic volume, flow rate, road congestion conditions, public transportation coverage rate, public transportation flow volume, number of stops, location, etc.

[0078] For example, based on surrounding situation information and image data received from personal mobility (20) in a specific area, the processing unit (100) can determine at least one of the number of pedestrians in the area where the personal mobility (20) is located, the speed of pedestrians, the number of vehicles, the speed of vehicles, and the speed of bicycles.

[0079] For example, in at least one of the cases where the number of pedestrians in a specific area where personal mobility (20) is located is less than a predetermined number, the speed of pedestrian movement is faster than a predetermined speed, the number of vehicles is less than a predetermined number, the speed of vehicles is slower than a predetermined speed, or the speed of bicycles is faster than a predetermined speed, the processing unit (100) can predict that the specific area is an area where the demand for personal mobility (20) increases.

[0080] For example, in at least one of the cases where the number of pedestrians in a specific area where personal mobility (20) is located is greater than a predetermined number, the number of vehicles is greater than a predetermined number, the speed of vehicles is faster than a predetermined speed, or the speed of bicycles is slower than a predetermined speed, the processing unit (100) can predict that the specific area is an area where the demand for personal mobility (20) decreases.

[0081] Based on surrounding situation information, the processing unit (100) can predict that a specific area is a region where the demand for personal mobility (20) decreases if the speed limit of the road in the specific area is 80 km / h or higher, or if the coverage rate of surrounding public transportation and the number of stops are greater than a predetermined number.

[0082] Based on surrounding situation information, the processing unit (100) can predict that a specific area is a region where the demand for personal mobility (20) decreases if the speed limit of the road in a specific area is less than 80 km / h, or if the coverage rate of surrounding public transportation and the number of stops are less than a predetermined number.

[0083] The processing unit (100) can predict the level of demand by region based on at least one of the usage amount of personal mobility (20) by time period stored in the storage unit (not shown), rental and return location information of personal mobility (20) by time period, and the quantity of personal mobility (20) rented and returned by time period.

[0084] FIG. 3 is a diagram illustrating a method for setting a service area of ​​personal mobility according to an embodiment of the present invention.

[0085] Referring to FIG. 3a, the first region (3a-1) where personal mobility (21, 22) is located may be a region where demand is predicted to decrease, and the second region (3a-2), third region (3a-3), and fourth region (3a-4) may be regions where demand for personal mobility (20) is predicted to increase.

[0086] Referring to FIG. 3b, the server (10) can set the service areas for personal mobility (21, 22) from the first area (3b-1), where demand is predicted to decrease, to the second area (3b-2), the third area (3b-3), and the fourth area (3b-4), where demand is predicted to increase. The server (10) can redistribute personal mobility (21, 22) from the first area (3b-1) to the second area (3b-2), the third area (3b-3), and the fourth area (3b-4).

[0087] As illustrated in FIG. 3b, the server (10) can redistribute to the second region (3b-2), which is closest to the personal mobility (21), among the second region (3b-2), third region (3b-3), and fourth region (3b-4) where demand is predicted to increase.

[0088] As illustrated in FIG. 3b, the server (10) can redistribute to the fourth region (3b-4), which is closest to the personal mobility (22), among the second region (3b-2), third region (3b-3), and fourth region (3b-4), where demand is predicted to increase.

[0089] In this way, based on the short distance and direction between the personal mobility (20) and the area where demand is predicted to increase, the personal mobility (20) can be redistributed to set the service area of ​​the personal mobility (20) with a more efficient route.

[0090] FIG. 4 is a diagram illustrating a method for setting a service area of ​​personal mobility according to another embodiment of the present invention.

[0091] Referring to FIG. 4, the server (10) can determine the direction of movement of the personal mobility (20) based on video data received from the personal mobility (20), and determine the starting area of ​​the personal mobility (20) by considering the direction of movement.

[0092] For example, the area where personal mobility (20) departs can be identified. The server (10) can predict that the area (4b, 4c) where personal mobility (20) departs in a number greater than the first value is an area where the demand for personal mobility (20) increases.

[0093] As such, in areas (4b, 4c) where many personal mobility vehicles (20) depart, there is a high volume of personal mobility rentals, so it can be predicted that there will be many additional personal mobility vehicles (20) needed.

[0094] Referring to FIG. 4, the server (10) can determine the direction of movement of the personal mobility (20) based on video data received from the personal mobility (20), and determine the destination area of ​​the personal mobility (20) by considering the direction of movement.

[0095] For example, the area where personal mobility (20) arrives can be identified. The server (10) can predict that the area (4a) where personal mobility (20) arrives in a number greater than the second value is an area where the demand for personal mobility (20) decreases.

[0096] As such, in areas where many personal mobility devices (20) arrive, there are many returns of personal mobility devices, so it can be predicted that there will be fewer additional personal mobility devices (20) needed.

[0097] FIG. 5 is a diagram illustrating a method for setting a service area of ​​personal mobility according to another embodiment of the present invention.

[0098] Referring to FIGS. 5a to 5c, the server (10) can determine usage information of the personal mobility (20) based on image data received from the personal mobility (20).

[0099] For example, as illustrated in FIG. 5a, usage information can be determined including cases where the user is riding the personal mobility (20) and driving, or cases where the user is not riding the personal mobility (20) but is pulling it.

[0100] More specifically, if the ratio of the number of personal mobility vehicles (20) that are moving without a user riding on them to the number of personal mobility vehicles (20) that are riding on them in the area illustrated in FIG. 5a is greater than a predetermined first ratio (e.g., 30%), the server (10) can determine that it is difficult to ride on and drive the personal mobility vehicles (20) due to the influence of the surrounding environment, and thus predict that the area is a region where the demand for personal mobility vehicles (20) decreases.

[0101] For example, as illustrated in FIG. 5b, usage information can be determined including cases where one user is riding in the personal mobility (20) and driving, or cases where two or more users are riding in the personal mobility (20).

[0102] More specifically, in the area illustrated in FIG. 5b, if the ratio of the number of personal mobility vehicles (20) with two or more users riding to the number of personal mobility vehicles (20) with one user riding is greater than a predetermined third ratio (e.g., 20%), the server (20) can determine that there is a shortage of personal mobility vehicles (20) and that two people are riding, and thus predict the area as one where demand increases.

[0103] For example, as illustrated in FIG. 5c, usage information including the number of personal mobility devices (20) that are slower than the pedestrian's movement speed and the number of personal mobility devices (20) that are slower than the pedestrian's movement speed can be determined.

[0104] More specifically, in the area illustrated in FIG. 5b, if the ratio of the number of personal mobility vehicles (20) that are slower than the pedestrian's movement speed to the number of personal mobility vehicles (20) that are faster than the pedestrian's movement speed is greater than a predetermined second ratio (e.g., 50%), the processing unit (100) can determine that it is difficult to ride and drive the personal mobility vehicle (20) due to the influence of the surrounding environment, and thus predict that the area is a region where the demand for personal mobility vehicles (20) decreases.

[0105] FIG. 6 is a diagram showing a method for displaying a service area setting of personal mobility according to an embodiment of the present invention.

[0106] Referring to FIG. 6, the server (10) can display the number of personal mobility vehicles (20) required in an area where demand is predicted to increase on the display unit (120). The server (20) can display the number of personal mobility vehicles (20) that can move from an area where demand is decreasing to an area where demand is predicted to increase on the display unit (120).

[0107] FIG. 7 is a flowchart illustrating a method for setting a service area of ​​personal mobility according to an embodiment of the present invention.

[0108] The server (10) can receive video data including surrounding conditions from the personal mobility (20). (210)

[0109] At this time, the server (10) can also receive location information of the personal mobility (20) using GPS information.

[0110] The server (10) can determine the direction of movement information of the personal mobility (20) based on video data and GPS information. (220) Here, the direction of movement information may include the departure area information and arrival area information of the personal mobility (20).

[0111] The server (10) can predict the regional demand for personal mobility (20) based on the movement direction information of personal mobility (20). (230)

[0112] More specifically, the server (10) can determine the area where the personal mobility (20) arrives based on the arrival area information of the personal mobility (20). The server (10) can determine the number of personal mobility (20) for which the area where the personal mobility (20) arrives is the first area.

[0113] The server (10) can compare the number of personal mobility (20) whose arrival area is the first area with a predetermined first value.

[0114] If the number of personal mobility (20) in the arrival area is greater than the first value, the server (10) can predict that the demand for personal mobility (20) in the first area is decreasing.

[0115] Additionally, the server (10) can determine the region from which the personal mobility (20) departs based on the departure region information of the personal mobility (20). The server (10) can determine the number of personal mobility (20) whose departure region is a second region.

[0116] The server (10) can compare the number of personal mobility (20) whose starting area is the second area with a predetermined second value.

[0117] If the number of personal mobility (20) that depart from the second region is greater than the second value, the server (10) can predict that the demand for personal mobility (20) in the second region decreases.

[0118] The server (10) can set the service area of ​​the personal mobility (20) based on regional demand and distance information between the personal mobility (20) and the region. (240)

[0119] More specifically, the server (10) can determine location information of personal mobility (20) located in an area where demand is decreasing. The server (10) can determine the distance between the location of personal mobility (20) located in an area where demand is decreasing and an area where demand is increasing.

[0120] The server (10) can set the area with a short distance as a service area in order to redistribute personal mobility (20) located in an area with decreasing demand and a personal mobility (20) located in an area with increasing demand to an area with increasing demand.

[0121] FIG. 8 is a flowchart illustrating a method for setting a service area of ​​personal mobility according to another embodiment of the present invention.

[0122] The server (10) can receive video data including surrounding conditions from the personal mobility (20) and can receive traffic information through the communication unit. (310)

[0123] Here, traffic information may include road traffic volume, flow rate, road congestion conditions, public transportation coverage rate, public transportation flow volume, number of stops, location, etc.

[0124] At this time, the server (10) can also receive location information of the personal mobility (20) using GPS information.

[0125] The server (10) can check the usage amount of the personal mobility (20) by time period and the rental and return location information by time period. (320)

[0126] The server (10) can determine the movement direction information of the personal mobility (20), the usage information of the personal mobility (20), and surrounding situation information based on video data, traffic information and GPS information. (320)

[0127] Here, the movement direction information may include the departure area information and arrival area information of the personal mobility (20).

[0128] At this time, the usage information may include at least one of the number of personal mobility (20) being driven with a user on board, the number of personal mobility (20) moving without a user on board, the number of personal mobility (20) moving at a speed smaller than that of a pedestrian, the number of personal mobility (20) moving at a speed smaller than that of a pedestrian, the number of personal mobility (20) with one user on board, and the number of personal mobility (20) with two or more users on board.

[0129] Additionally, surrounding situation information may include at least one of the number of pedestrians in the area where the personal mobility (20) is located, the speed of pedestrian movement, the number of vehicles, the speed of vehicles, and the speed of bicycles.

[0130] The server (10) can predict the regional demand for personal mobility (20) based on at least one of the hourly usage of personal mobility (20), hourly rental and return location information, movement direction information of personal mobility (20), usage information and surrounding situation information. (340)

[0131] The server (10) can set the service area of ​​the personal mobility (20) based on regional demand and distance information between the personal mobility (20) and the region. (350)

[0132] Meanwhile, the disclosed embodiments may be implemented in the form of a recording medium that stores instructions executable by a computer. The instructions may be stored in the form of program code and, when executed by a processor, may generate a program module to perform the operation of the disclosed embodiments. The recording medium may be implemented as a computer-readable recording medium.

[0133] Computer-readable recording media include all types of recording media that store instructions that can be decoded by a computer. Examples include ROM (Read Only Memory), RAM (Random Access Memory), magnetic tape, magnetic disk, flash memory, optical data storage devices, etc.

[0134] As described above, the disclosed embodiments have been explained with reference to the attached drawings. Those skilled in the art will understand that the present invention may be practiced in forms different from the disclosed embodiments without changing the technical spirit or essential features of the invention. The disclosed embodiments are illustrative and should not be interpreted restrictively. Explanation of the symbols

[0135] 1: Service Area Setting System 10: Server 20: Personal Mobility 30: Network 100: Processing unit 110: Communications Department 120: Display section

Claims

Claim 1 Communications Department; and a processing unit that receives video data from a personal mobility through the communication unit, determines movement direction information including departure area information and arrival area information of the personal mobility based on the video data, determines usage information of the personal mobility based on the video data, predicts the level of demand for the personal mobility by region based on ratio information determined based on the usage information and the movement direction information, and sets a service area of ​​the personal mobility based on the level of demand; wherein, based on the usage information, the processing unit, as the ratio information, comprises at least one of the following: the ratio of the number of personal mobility moving without a user riding to the number of personal mobility riding with a user riding; the ratio of the number of personal mobility moving slower than the pedestrian's speed to the number of personal mobility moving faster than the pedestrian's speed; or the ratio of the number of personal mobility riding with two or more users riding to the number of personal mobility riding with one user riding. A server that makes judgments. Claim 2 In claim 1, the processing unit determines the number of personal mobility units whose arrival area is a first area based on arrival area information of the personal mobility units, and if the determined number of personal mobility units is greater than a first value, the server predicts that the demand for the personal mobility units in the first area is a decrease area. Claim 3 In claim 1, the processing unit determines the number of personal mobility units whose starting area is a second area based on the starting area information of the personal mobility units, and if the determined number of personal mobility units is greater than a second value, the server predicts that the demand for the personal mobility units in the second area decreases. Claim 4 In claim 1, the server further includes a display; and the processing unit is a server that processes the display to display the demand for personal mobility by region. Claim 5 In claim 1, the processing unit compares the distance between the location of the personal mobility located in a demand-decreasing area and a demand-increasing area, and based on the comparison result, sets the service area of ​​the personal mobility. Claim 6 In claim 1, the processing unit receives traffic information through the communication unit, determines surrounding situation information of the personal mobility based on the traffic information, and predicts the demand for the personal mobility by region based on at least one of the plurality of surrounding situation information. Claim 7 delete Claim 8 delete Claim 9 In claim 1, the processing unit is a server that predicts that the demand for the personal mobility decreases when, based on the ratio information, at least one of the following cases is met: the ratio of the number of personal mobility vehicles moving without a user riding on it to the number of personal mobility vehicles moving with a user riding on it is greater than a predetermined first ratio, or the ratio of the number of personal mobility vehicles moving faster than a pedestrian's speed to the number of personal mobility vehicles moving slower than a pedestrian's speed is greater than a predetermined second ratio. Claim 10 In claim 1, the processing unit is a server that predicts that the demand for the personal mobility increases when, based on the ratio information, the ratio of the number of personal mobility vehicles with two or more users riding to the number of personal mobility vehicles with one user riding is greater than or equal to a predetermined third ratio. Claim 11 In claim 1, a server that predicts the demand for the personal mobility by region based on the usage volume of the personal mobility by time of day and the rental and return locations of the personal mobility by time of day. Claim 12 A processing method of a server comprising receiving video data from personal mobility, determining movement direction information including departure area information and arrival area information of the personal mobility based on the video data, determining usage information of the personal mobility based on the video data, predicting the level of demand for the personal mobility by region based on ratio information determined based on the usage information and the movement direction information, and setting a service area of ​​the personal mobility based on the level of demand, and, based on the usage information, determining at least one of the following as ratio information: the ratio of the number of personal mobility moving without a user riding to the number of personal mobility riding with a user riding, the ratio of the number of personal mobility moving slower than the pedestrian's speed to the number of personal mobility moving faster than the pedestrian's speed, or the ratio of the number of personal mobility riding with two or more users riding to the number of personal mobility riding with one user. Claim 13 A processing method of a server according to claim 12, comprising determining the number of personal mobility units in which the arrival area of ​​the personal mobility units is a first area based on arrival area information of the personal mobility units, and if the determined number of personal mobility units is greater than a first value, predicting that the demand for the personal mobility units in the first area is a decrease in the area. Claim 14 A processing method of a server according to claim 12, comprising determining the number of personal mobility units whose starting area is a second area based on information regarding the starting area of ​​the personal mobility units, and predicting that the demand for the personal mobility units in the second area decreases if the determined number of personal mobility units is greater than a second value. Claim 15 In claim 12, a processing method of a server including displaying the demand for personal mobility by region. Claim 16 A processing method of a server according to claim 12, comprising comparing the distance between the location of the personal mobility located in a region of decreased demand and a region of increased demand, and setting the service area of ​​the personal mobility based on the result of the comparison. Claim 17 A processing method of a server according to claim 12, comprising receiving traffic information, determining surrounding situation information of the personal mobility based on the traffic information, and predicting the level of demand for the personal mobility by region based on at least one of the plurality of surrounding situation information. Claim 18 delete Claim 19 delete Claim 20 A processing method of a server according to claim 12, comprising predicting that the demand for the personal mobility decreases when, based on the ratio information, at least one of the following cases is met: the ratio of the number of personal mobility vehicles moving without a user riding on it to the number of personal mobility vehicles moving with a user riding on it is greater than a predetermined first ratio, or the ratio of the number of personal mobility vehicles moving faster than a pedestrian's speed to the number of personal mobility vehicles moving slower than a pedestrian's speed is greater than a predetermined second ratio. Claim 21 A processing method of a server according to claim 12, comprising predicting that the demand for the personal mobility increases when, based on the above ratio information, the ratio of the number of personal mobility vehicles with two or more users riding to the number of personal mobility vehicles with one user riding is greater than or equal to a predetermined third ratio. Claim 22 A processing method of a server according to claim 12, comprising predicting the level of demand for the personal mobility by region based on the usage volume of the personal mobility by time of day and the rental and return locations of the personal mobility by time of day.

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