KR20220150862A - Map information distribution server utilizing network infrastructure, and method thereof - Google Patents

Abstract

Disclosed is a map information distribution server utilizing communication infrastructures. The map information distribution server utilizing communication infrastructures comprises: a communication unit which communicates with a plurality of vehicles; a data repository which maintains precise map information including static map information and dynamic map information, network map information, and operation information of the plurality of vehicles; and a controller. The controller adds and manages the network map information on the precise map information, and is configured to perform, when an event occurs from the precise map information, the steps of: setting a degree of urgency for each of the plurality of vehicles; setting an optimal network for each of the plurality of vehicles; and transmitting information about the event from the distribution server to each of the plurality of vehicles via the optimal network. According to the present invention, it is possible to grasp a road driving situation, select vehicles required to receive information, and preferentially transmit the information to selected vehicles via a MEC server.

Description

Map information distribution server and method using communication infrastructure

The present disclosure relates to a map information distribution server and method using a communication infrastructure.

Due to the recent emergence of self-driving cars, maps are also rapidly changing. So far, vehicle navigation has only provided information on the driver's current location, surrounding map information, and current speed, but a dynamic map to receive changes in road information in real time is emerging. For fast update of the dynamic map, the server stores information by dividing the map into pieces or cells.

As related prior art, there is Korean Patent Laid-open Publication No. 10-2005-0116524 (Title of Invention: Route Guidance System and Method for Dynamically Updating Digital Map Data, Patent Holder: Samsung Electronics). The corresponding published patent publication discloses a route guidance system and method capable of dynamically updating digital map data of a required area by a terminal user. The route guidance system of the prior art includes a digital map data providing server for storing first digital map data obtained by configuring digital maps for each unit area and a terminal for storing second digital map data identical to the first digital map data. A route guidance system comprising: generating and storing first digital map data modification information indicating modification information corresponding to a modified area of the first digital map data when the first digital map data is modified; a digital map data providing server that transmits the first digital map data correction information to the terminal in response to an update request; and a request to update the second digital map data to the digital map data providing server in response to a user's request. and a terminal for updating the second digital map data by using the first digital map data correction information received from the digital map data providing server.

Conventional precision map technology had the advantage of selecting fragmented map (grid map, tiled map) information according to the driving direction and route of the vehicle and downloading only the information necessary for the user. The latest network technologies such as Mobile Edge Computing or Multi-access Edge Computing) are not dynamically/optimally utilized. In particular, map services for autonomous vehicles require a more sophisticated map distribution system as there are cases where communication latency of 10 to 100ms is required depending on specific map information, and in the case of precision maps, existing digital maps (SD maps, navigation Since data is larger than map), communication traffic load may increase.

If a large amount of map data is sent to many vehicles at once in an area where the network infrastructure is not sufficient, some vehicles may not be able to receive the necessary map information in time due to network problems. In the case of an autonomous vehicle, when transmission of the latest map information and emergency road information to the vehicle is delayed, smooth driving may be difficult.

A map information distribution server using a communication infrastructure according to one side includes a communication unit that communicates with a plurality of vehicles; a data storage for maintaining precision map information including static map information and dynamic map information, network map information, and operation information of the plurality of vehicles; and a controller. Adding and managing, by the controller, the network map information on the detailed map information, and setting a degree of urgency for each of the plurality of vehicles when an event occurs from the precise map information; setting an optimal network for each of the plurality of vehicles; and transmitting information about the event from the distribution server to each of the plurality of vehicles to the optimal network.

The detailed map information may be received from an external server or directly obtained from the distribution server. The network map information may include information on locations of 5G base stations, LTE base stations and Mobile Edge Computing (MEC) servers, coverage of each network, and traffic status of each network. The step of setting the urgency for each of the plurality of vehicles may be set based on the information about the event and the driving information of the plurality of vehicles. The setting of the optimal network for each of the plurality of vehicles may be set based on the urgency and the network map information.

An operating method of a map information distribution server using a communication infrastructure according to one side includes the steps of maintaining data storage including precise map information including static map information and dynamic map information, network map information, and driving information of a plurality of vehicles. ; adding and managing the network map information on the precise map information; setting a degree of urgency for each of the plurality of vehicles when an event occurs from the detailed map information; setting an optimal network for each of the plurality of vehicles; and transmitting information about the event from the distribution server to each of the plurality of vehicles to the optimum network.

The precise map information may be received from an external server or directly obtained from the distribution server. The network map information may include information about locations of 5G base stations, LTE base stations, and Mobile Edge Computing (MEC) servers, coverage of each network, and traffic status of each network. The step of setting the urgency for each of the plurality of vehicles may be set based on the information about the event and the driving information of the plurality of vehicles. The setting of the optimal network for each of the plurality of vehicles may be set based on the urgency and the network map information.

By adding a map layer that includes information on the network environment to the grid map information of the precise map, the road condition change information can be transferred to the driving situation of the vehicle in motion, communication networks such as MEC, 5G, and LTE. According to the environment, it can be transmitted to the optimal network environment.

In the case of an urgent road event related to vehicle safety, the road driving situation is identified, vehicles that require information transmission are selected first, and information can be transmitted to those vehicles with low delay through the MEC server. In addition, the information can be transmitted through the MEC server or general mobile communication (5G or LTE) to vehicles that do not need to receive the information urgently but require information transmission.

1 is a diagram for explaining a map information distribution server according to an exemplary embodiment.
2 is a diagram for adding and managing network map information on precise map information according to an embodiment.
3 is a diagram for explaining a flow of distributing information in a map information distributing server according to an exemplary embodiment.
4A and 4B are diagrams for explaining an example of efficiently distributing map information when using a map information distribution server according to an embodiment compared to a case where there is no network map information.
5 is a flowchart illustrating a process of setting urgency for each of a plurality of vehicles according to an exemplary embodiment.
6 is a flowchart illustrating a process of setting an optimal network for each of a plurality of vehicles according to an exemplary embodiment.
7 is a flowchart illustrating an operating method of a map information distribution server using a communication infrastructure according to an exemplary embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes can be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It should be understood that all changes, equivalents or substitutes to the embodiments are included within the scope of rights.

Terms used in the examples are used only for descriptive purposes and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this specification, terms such as "include" or "have" are intended to designate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, but one or more other features It should be understood that the presence or addition of numbers, steps, operations, components, parts, or combinations thereof is not precluded.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, they should not be interpreted in an ideal or excessively formal meaning. don't

In addition, in the description with reference to the accompanying drawings, the same reference numerals are given to the same components regardless of reference numerals, and overlapping descriptions thereof will be omitted. In describing the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description will be omitted.

Also, terms such as first, second, A, B, (a), and (b) may be used in describing the components of the embodiment. These terms are only used to distinguish the component from other components, and the nature, order, or order of the corresponding component is not limited by the term. When an element is described as being “connected,” “coupled to,” or “connected” to another element, that element may be directly connected or connected to the other element, but there may be another element between the elements. It should be understood that may be "connected", "coupled" or "connected".

Components included in one embodiment and components having common functions will be described using the same names in other embodiments. Unless stated to the contrary, descriptions described in one embodiment may be applied to other embodiments, and detailed descriptions will be omitted to the extent of overlap.

<Map information distribution server using communication infrastructure>

1 is a diagram for explaining a map information distribution server according to an exemplary embodiment.

Referring to FIG. 1 , a map information distribution server 100 according to an embodiment includes a communication unit 110 that communicates with a plurality of vehicles 140; A data storage 130 that maintains precise map information 135 including static map information 131 and dynamic map information 132, network map information 137, and driving information 139 of a plurality of vehicles 140 ; and a controller 120 .

The plurality of vehicles 140 include a vehicle 142, a vehicle 144, and the like, and may be vehicles contracted with a corresponding map information distribution server. The plurality of vehicles 140 may be any communicable vehicle, may be an autonomous vehicle that operates automatically without a person, or may be a vehicle that is driven by a person and receives only road information. Also, the plurality of vehicles 140 may not be vehicles themselves, but may be user terminals located in the vehicles.

Static map information 131 means road information that does not change easily, such as lanes and landmarks (signs), and dynamic map information 132 means road information with a relatively short change period, such as traffic conditions, accidents, and traffic lights. . Precision map information 135 is information including both static map information 131 and dynamic map information 132, and manages static map information 131 and dynamic map information 132 for each divided map fragment unit area. , updated periodically.

The precision map information 135 is shown as being simply stored in the data storage 130 of the distribution server 100 for convenience in FIG. 1, but the communication unit 110 communicates with and receives an external precision map distribution server. It may be one, or it may be directly obtained from the distribution server 100.

The network map information 137 may include information about locations of 5G base stations, LTE base stations and Mobile Edge Computing (MEC) servers, coverage of each network, and traffic status of each network. In FIG. 1 , it is shown as being simply stored in the data storage 130 of the distribution server 100 for convenience, but it may be received by the communication unit 110 communicating with an external server, for example, a communication company server. The network map information 137 manages information for each piece unit area to correspond to the divided map piece unit areas of the precise map information 135 .

The vehicle operation information 139 may be information about the location, driving direction, speed, destination, and whether a network modem is equipped with each vehicle 142 or 144 . The information on whether or not the network modem is equipped is information on which modem each vehicle is equipped with, for example, a 5G modem or an LTE modem.

The controller 120 adds and manages the network map information 137 on the precise map information 135 . Network information received from the outside can be managed by dividing it into fragment unit areas divided in the precision map information 135 . Through this, the distribution server 100 can simultaneously maintain and update static map information 131, dynamic map information 132, and network map information 137 for each piece area unit. Map information will be described in detail with reference to FIG. 2 to be described later.

The controller 120 manages map information. When an event occurs from the precise map information 135 , the controller 120 sets the urgency for each vehicle 140 and sets an optimal network for each vehicle 140 . A process in which the controller 120 detects the occurrence of an event from the detailed map information 135 will be described in detail with reference to FIG. 3 to be described later. The step of setting the urgency is set based on the information about the event and the driving information of the plurality of vehicles, which will be described in detail with reference to FIG. 5 to be described later. The step of setting the optimal network is set based on the urgency and the network map information, which will be described in detail with reference to FIG. 6 to be described later.

After setting the optimal network, the controller 120 transmits event-related information from the distribution server 100 to the optimal network set in each of the plurality of vehicles 140 . At this time, the information about the event may include the type and location of the accident, time, size of transmitted data, and the like. More specifically, it may be, for example, information on traffic control due to traffic accidents, natural disasters such as bad weather, malfunctions of traffic lights or repair work, and the like. Also, the information about the event may include information about the relationship with each of the plurality of vehicles 140 receiving the information as well as information about the event itself. For example, information about the relative position of the receiving vehicle to the event location, speed, route (whether it passes the event location), and estimated time to pass the event location calculated using these information may also be included in the event information.

2 is a diagram for adding and managing network map information on precise map information according to an embodiment.

Referring to FIG. 2 , a configuration of map information of a map distribution server according to an exemplary embodiment is illustrated. Static map information 131 means road information that does not change easily, such as lanes and landmarks (signs), and dynamic map information 132 means road information with a relatively short change period, such as traffic conditions, accidents, and traffic lights. . Precision map information 135 is information including both static map information 131 and dynamic map information 132, and manages static map information 131 and dynamic map information 132 for each divided map piece unit area. , updated periodically.

The network map information 137 may include information about locations of 5G base stations, LTE base stations and Mobile Edge Computing (MEC) servers, coverage of each network, and traffic status of each network. The meaning of adding and managing the network map information 137 on the detailed map information 135 means that the information related to the network is managed for each piece unit area according to the map piece unit area divided in the precise map information 135. to be. Through this, the static map information 131, the dynamic map information 132, and the network map information 137 for each fragment unit area can be maintained and periodically/non-periodically updated according to a policy.

3 is a diagram for explaining a flow of distributing information in a map information distributing server according to an exemplary embodiment.

When an event such as a traffic accident occurs on the road, a change is recognized in the precise map information 135 . It may be a change on the static map information 131, for example, a road damaged due to a natural disaster, etc., but it will mainly be a change on the dynamic map information 132, for example, a change in traffic conditions, a traffic accident, and the like. As briefly described in FIG. 1, although the detailed map information 135 in FIG. 1 is shown as being stored in the data storage of the map information distribution server 100 using a communication infrastructure, the distribution server 100 is an external separate precision map information. It may be received through communication with the map distribution server 300, or may be obtained directly by the distribution server 100. In FIG. 3 , the detailed map information 135 is shown as being transmitted from a separate external precise map distribution server 300 .

After the event occurs, the distribution server 100 sets the urgency and optimal network for each vehicle, and transmits information about the event to the optimal network set for each vehicle. At this time, as described in FIG. 1, the information about the event may include the type and point of the accident, time, size of transmission data, etc., and not only information about the event itself, but also each of a plurality of vehicles receiving the information. It may also include information about the relationship with

The process of setting the urgency level and setting the optimal network will be described with FIGS. 5 and 6 to be described later, and FIG. 3 shows an example in which information is distributed. Information is distributed to a plurality of vehicles 140 communicating with the distribution server 100 through three types of networks such as LTE, 5G, and MEC according to urgency. For example, among the plurality of vehicles 140, information about the event is transmitted to a vehicle 143 located 200 m before the event occurrence point through LTE, and to a vehicle 146 located 100 m before the event occurrence point through 5G and a vehicle located 10 m before the event occurrence point. (149) can be transmitted by Mobile Edge Computing (MEC).

4A and 4B are diagrams for explaining an example of efficiently distributing map information when using a map information distribution server according to an embodiment compared to a case where there is no network map information.

FIG. 4A shows information transmission when an accident occurs on the right side, and FIG. 4B shows information transmission when an accident additionally occurs on the left side. Also, 410 in FIG. 4A and 430 in FIG. 4B are information distribution situations in the case of including only static map information 131 and dynamic map information 132, that is, only precise map information 135, and 450 in FIG. 4A and 470 of FIG. 4B indicates an information distribution situation when network map information is included according to an embodiment.

First, referring to the case 410 in which there is no network map information in FIG. 4A , information on an accident occurring on the right side is transmitted to following vehicles 411 to 417 traveling in the direction of the accident according to the network environment. For example, in 410, vehicles 411, 412, 413, 415, and 416 are MEC-enabled to all vehicles in an MEC-capable area (420), and vehicle 414 is transmitted with 5G. In this case, when traffic management in the network area is difficult and 5G MEC transmission is impossible due to high traffic, it is transmitted by changing to 5G or LTE, and map information can be provided to vehicles with high urgency through a slow network. This situation is specifically described at 430 of FIG. 4B.

Referring to the case 450 in which network map information of FIG. 4A is added, an accident occurs on the right side as in 410 and the information is transmitted to the following vehicles 451 to 457 traveling in the direction of the accident. However, since the network map information 137 is added, some of the vehicles 451, 452, 453, 455, and 456 in an MEC-enabled environment use LTE (460) and some other vehicles In 453, traffic can be managed by being transmitted to 5G. As a result, a situation different from that of 450 to 430 in FIG. 4B occurs.

Referring to the case where there is no network map information (430) of FIG. 4B in which an additional accident occurred on the left side, the information on the accident on the left is the following vehicles (431 to 437) traveling in the direction of the accident, and the accident on the right side. It is transmitted according to the network environment in the same way as the case of occurrence (410). For example, as in 410, vehicles 431, 432, 433, 435, and 436 are in an MEC-capable area, and MEC is transmitted to all vehicles. However, even in 410, 411, 412, 413, 415, and 416 vehicles were being transmitted to the MEC, so an overload (440) may occur in the same area A area, which causes transmission to vehicles with high urgency close to the accident point. This delay can cause issues.

If there is network map information of FIG. 4B where an additional accident occurred on the left (470), the effect of the distribution server using the communication infrastructure information disclosed in the present application appears. In the case of 450 in FIG. 4A where the accident occurred on the right, MEC traffic is available because MEC is not transmitted to vehicles 451, 452, and 453 due to network area traffic management. Therefore, unlike the case where there is no network map information (430), information transmission (480) to the MEC is possible for vehicles 471 and 472, which are vehicles with high urgency and close to the accident point, and secondary accidents can be prevented in advance.

5 is a flowchart illustrating a process of setting urgency for each of a plurality of vehicles according to an exemplary embodiment.

The degree of urgency is set based on event information and operation information of multiple vehicles. As described with reference to FIG. 1 , the vehicle operation information may be information about the location, driving direction, speed, destination, and whether or not a network modem is equipped with each vehicle. The information on whether or not the network modem is equipped is information on which modem each vehicle is equipped with, for example, a 5G modem or an LTE modem. Information about the event may include the type and location of the accident, time, size of transmitted data, and the like. More specifically, it may be, for example, information on traffic control due to traffic accidents, natural disasters such as bad weather, malfunctions of traffic lights or repair work, and the like. Also, the information about the event may include information about the relationship with each of a plurality of vehicles receiving the information as well as information about the event itself. For example, information about the relative position of the receiving vehicle to the event location, speed, route (whether it passes the event location), and estimated time to pass the event location calculated using these information may also be included in the event information.

Referring to FIG. 5 , first, in order to determine whether it is necessary to set the level of urgency, it is determined whether the destination is an event-occurring direction and whether the vehicle is following (510). This is because there is no need to allocate network traffic to transmit information to a vehicle that has already passed through an event occurrence point or a vehicle whose destination is in a different direction. Therefore, if the destination is the event occurrence direction and it is not the following vehicle, the degree of urgency is not set (515). If the destination is in the direction of event occurrence and the vehicle is behind, it is determined whether the expected time of arrival at the event location is within a predetermined time (520), and if not, the urgency is set to margin (525). For example, the closer the accident site, the faster the speed of the vehicle, and the smoother the traffic conditions, the closer the expected arrival time to the event location will be from the determination point. On the other hand, since the estimated time of arrival at the event location will be a certain time later from the judgment point, the urgency level will be set to "sleeping" as the location of the accident is farther away, the speed of the vehicle is slower, and the traffic situation is blocked.

In 530, the size of the data is taken into account, because the larger the data, the longer it takes to transmit information. If the data size is not greater than a certain size, the urgency is set to “normal” (535). If the destination is in the direction of event occurrence and is a vehicle behind, the expected arrival time is within a predetermined time, and the size of the data is greater than or equal to a predetermined size, the urgency may be set to "urgent" (540).

However, the method for setting the level of urgency described in FIG. 5 is just one example, and the level of urgency can be set in various ways and in order using event information and vehicle operation information.

6 is a flowchart illustrating a process of setting an optimal network for each of a plurality of vehicles according to an exemplary embodiment.

The step of setting the optimal network is set based on the urgency level and network map information set in FIG. 5 . First, in FIG. 5, it is determined whether the urgency level is set (610), and if the urgency level is not set, the network is set according to the traffic among MEC, 5G, and LTE (615). This is because there is no need to set up a network by managing traffic in an emergency for vehicles with low urgency.

If the level of urgency is set, the fastest network is set according to the level of urgency (620). For example, if a 5G modem is installed in a vehicle and an MEC is available, the optimal network is set to MEC if the urgency is urgent, 5G if the urgency is normal, and LTE if the urgency is "free". On the other hand, if the vehicle is equipped with only an LTE modem, the optimal network will be set to LTE regardless of the degree of urgency. After the network is established, it is determined whether there is residual traffic (630). If there is no residual traffic, the fastest network among other networks other than the corresponding network is set as the optimal network. For example, if a 5G modem is installed in the vehicle, MEC is available, and the urgency is set to "urgent", and the optimal network is set with MEC in step 620, but there is no residual traffic in MEC, return to step 620 and exclude MEC. It is set between 5G and LTE, and since a 5G modem is installed and the urgency level is "urgent", 5G will be set as the optimal network. If there is residual traffic, it is set to the corresponding network (640).

However, the optimal network setting method described in FIG. 6 is just one example, and the urgency level may be set in various ways and in order using the urgency level and network map information.

<How to operate map information distribution server using communication infrastructure>

7 is a flowchart illustrating an operating method of a map information distribution server using a communication infrastructure according to an exemplary embodiment.

Referring to FIG. 7 , a map information distribution server using a communication infrastructure according to an embodiment maintains precise map information including static map information and dynamic map information, network map information, and driving information of vehicles (710).

As described in FIG. 1, static map information means road information that does not change easily, such as lanes and landmarks (signs), and dynamic map information means road information with a relatively short change cycle, such as traffic conditions, accidents, and traffic lights. do. The precision map information is information including both static map information and dynamic map information, and is periodically updated by managing static map information and dynamic map information for each divided map fragment unit area. The precision map information may be received through communication with a separate external precision map distribution server, or may be obtained directly from the distribution server.

As described in FIG. 1, the network map information may include information about locations of 5G base stations, LTE base stations, and MEC (Mobile Edge Computing) servers, coverage of each network, and traffic status of each network. The network map information may be received through communication with an external server, for example, a communication company server. The network map information manages information for each piece unit area so as to correspond to the divided map piece unit area of the precise map information 135 .

As described with reference to FIG. 1 , the vehicle driving information may be information about the location, driving direction, speed, destination, and whether or not a network modem is provided of each vehicle communicating with the server. The information on whether or not the network modem is equipped is information on which modem each vehicle is equipped with, for example, a 5G modem or an LTE modem.

In addition, the map information distribution server using the communication infrastructure adds network map information on top of the detailed map information and manages (720), which, as described in FIG. This means that it is managed for each piece unit area according to the area. Through this, it is possible to maintain static map information, dynamic map information, and network map information for each fragment unit area and periodically/non-periodically update them according to policies.

When an event occurs on the detailed map while continuously managing information (730), an urgency level for each vehicle is set (740) and an optimal network for each vehicle is set (750). As described in FIG. 3, the occurrence of an event in a detailed map may be a change in static map information, for example, damage to a road due to a natural disaster, but mainly a change in dynamic map information, for example, a change in traffic conditions, It could be a car accident, etc.

As described in FIG. 5, the process of setting the urgency level 740 for each vehicle is set based on event information and operation information of a plurality of vehicles. As described with reference to FIG. 1 , the information about the event may include the type and location of the accident, time, size of transmitted data, and the like. More specifically, it may be, for example, information on traffic control due to traffic accidents, natural disasters such as bad weather, malfunctions of traffic lights or repair work, and the like. Also, the information about the event may include information about the relationship with each of a plurality of vehicles receiving the information as well as information about the event itself. For example, information about the relative position of the receiving vehicle to the event location, speed, route (whether it passes the event location), and estimated time to pass the event location calculated using these information may also be included in the event information. As described in FIG. 5, the urgency is determined by determining whether the destination is in the direction of the event and whether it is a trailing vehicle, and if not, the urgency is not set. can In addition, if the data size is not larger than a certain size, the urgency level can be set to "normal", and if the data size is larger than a certain size, the urgency level can be set to "urgent".

Step 750 of setting the optimal network is set based on the degree of urgency and network map information as described in FIG. 6 . If the urgency level is not set, the optimal network is set according to the traffic. However, when the configured optimal network has no residual traffic, a fast network among other networks may be set as the optimal network. If there is residual traffic, the corresponding network is set as the optimal network.

After the optimal network for each vehicle is set up (750), information about the event is transmitted from the distribution server to the optimal network for each vehicle (760) so that the vehicles can efficiently use the network environment to receive information at a higher speed. there will be

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 on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands 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. - includes hardware devices 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 high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. You can command the device. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (11)

In a map information distribution server using a communication infrastructure,
a communication unit that communicates with a plurality of vehicles;
a data storage for maintaining precision map information including static map information and dynamic map information, network map information, and operation information of the plurality of vehicles; and
contains a controller;
The controller,
Add and manage the network map information on the precise map information, but when an event occurs from the precise map information,
setting a degree of urgency for each of the plurality of vehicles;
setting an optimal network for each of the plurality of vehicles; and
transmitting information about the event from the distribution server to each of the plurality of vehicles to the optimal network;
to do,
Map information distribution server utilizing communication infrastructure. According to claim 1,
The precise map information,
Received from an external server or obtained directly from the distribution server,
Map information distribution server utilizing communication infrastructure. According to claim 1,
The network map information,
Including at least one of information about the locations of 5G base stations, LTE base stations and MEC (Mobile Edge Computing) servers, coverage of each network, and traffic status of each network,
Map information distribution server utilizing communication infrastructure. According to claim 1,
The step of setting the urgency for each of the plurality of vehicles,
Set based on the information about the event and the driving information of the plurality of vehicles,
Map information distribution server utilizing communication infrastructure. According to claim 1,
The step of setting the optimal network for each of the plurality of vehicles,
Set based on the urgency and the network map information,
Map information distribution server utilizing communication infrastructure. In the method of operating a map information distribution server using a communication infrastructure,
Maintaining a data storage including precise map information including static map information and dynamic map information, network map information, and driving information of a plurality of vehicles;
adding and managing the network map information on the precise map information;
When an event occurs from the detailed map information,
setting a degree of urgency for each of the plurality of vehicles;
setting an optimal network for each of the plurality of vehicles; and
transmitting information about the event from the distribution server to each of the plurality of vehicles to the optimal network;
including,
Operation method of map information distribution server using communication infrastructure. According to claim 6,
The precise map information,
Received from an external server or obtained directly from the distribution server,
Operation method of map information distribution server using communication infrastructure. According to claim 6,
The network map information,
Including at least one of information about the locations of 5G base stations, LTE base stations and MEC (Mobile Edge Computing) servers, coverage of each network, and traffic status of each network,
Operation method of map information distribution server using communication infrastructure. According to claim 6,
The step of setting the urgency for each of the plurality of vehicles,
Set based on the information about the event and the driving information of the plurality of vehicles,
Operation method of map information distribution server using communication infrastructure. According to claim 6,
The step of setting the optimal network for each of the plurality of vehicles,
Set based on the urgency and the network map information,
Operation method of map information distribution server using communication infrastructure. A computer-readable recording medium containing a program for performing the method of any one of claims 6 to 10.

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