KR20210044112A - Device, method and computer program for providing risk guide service with respect to driving route of vehicle - Google Patents

Abstract

The present invention relates to a device which provides a risk guidance service for a vehicle's driving route. According to the present invention, the device comprises: a collection unit for collecting environmental information related to a road environment for a driving route of a vehicle and driving information of the vehicle; a first calculation unit for calculating an external risk index for the driving route based on the collected environmental information; a second calculation unit for calculating an in-vehicle risk index for the driving route based on the collected driving information; and a providing unit which provides a risk guide service for the driving route based on the calculated external vehicle risk index and the calculated in-vehicle risk index.

Description

A device, method, and computer program that provides a risk guidance service for a vehicle's driving route {DEVICE, METHOD AND COMPUTER PROGRAM FOR PROVIDING RISK GUIDE SERVICE WITH RESPECT TO DRIVING ROUTE OF VEHICLE}

The present invention relates to an apparatus, a method, and a computer program for providing a risk guidance service for a driving route of a vehicle.

Navigation refers to a device or program that guides a route to a destination. The navigation may provide information on a user's current location and map, as well as a moving route to a destination, a shortest distance, and a required time, using GPS and map data. By using the navigation system, the driver can obtain effects such as reduction in fuel costs and time.

In this regard, Korean Patent Registration No. 10-0932969, which is a prior art, discloses a way guidance service method and a navigation system for performing the method.

Conventional navigation requires special attention to pay attention to safe driving when the vehicle enters the accident-prone area by guiding the accident-prone area along with traffic guidance when the vehicle is driving on the road. However, since the accident-prone area is provided based on statistics of past accident history, it has a disadvantage that it does not reflect real-time risk factors that may occur during road driving.

It is intended to provide an apparatus, method, and computer program that provides a risk level guidance service that collects environmental information related to the road environment on the driving route of the vehicle and calculates a risk index outside the vehicle for the driving route based on the collected environmental information. .

An object is to provide an apparatus, method, and computer program for providing a risk guidance service that collects vehicle operation information and calculates a vehicle internal risk index for a driving route based on the collected operation information.

An apparatus, a method, and a computer program for providing a risk guidance service for a driving route based on a vehicle exterior risk index and a vehicle interior risk index are provided.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problems as described above, and other technical problems may exist.

As a means for achieving the above-described technical problem, an embodiment of the present invention provides a collection unit for collecting environmental information related to a road environment for a driving route of a vehicle and driving information of the vehicle, based on the collected environmental information. Thus, a first calculation unit that calculates the vehicle external risk index for the driving route, a second calculation unit that calculates the vehicle’s internal risk index for the driving route based on the collected driving information, and the calculated vehicle external risk index And it is possible to provide a risk guidance service providing apparatus including a providing unit for providing a risk guidance service for the driving route based on the calculated vehicle internal risk index.

In another embodiment of the present invention, collecting environmental information related to a road environment for a driving route of a vehicle and driving information of the vehicle, and calculating an external risk index for the driving route based on the collected environmental information The step of: calculating a vehicle internal risk index for the driving route based on the collected driving information, and guiding a risk for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index It is possible to provide a method of providing a risk guidance service, including the step of providing a service.

In another embodiment of the present invention, when the computer program is executed by a computing device, the computer program collects environmental information related to a road environment for a driving route of a vehicle and driving information of the vehicle, and based on the collected environmental information, the Calculate a vehicle external risk index for a driving route, calculate an internal vehicle risk index for the driving route based on the collected driving information, and based on the calculated vehicle external risk index and the calculated vehicle internal risk index Thus, it is possible to provide a computer program stored in a medium including a sequence of instructions for providing a risk guidance service for the driving route.

The above-described problem solving means are merely exemplary and should not be construed as limiting the present invention. In addition to the above-described exemplary embodiments, there may be additional embodiments described in the drawings and detailed description of the invention.

According to any one of the above-described problem solving means of the present invention, a risk level guide for collecting environmental information related to a road environment for a driving route of a vehicle, and calculating a vehicle external risk index for a driving route based on the collected environmental information. It is possible to provide an apparatus, a method, and a computer program for providing a service.

An apparatus, method, and computer program for providing a risk guidance service for collecting vehicle driving information and calculating a vehicle internal risk index for a driving route based on the collected driving information may be provided.

An apparatus, a method, and a computer program may be provided for calculating a final risk score based on the vehicle external risk index and the vehicle internal risk index, and providing a risk guidance service for a driving route based on the calculated final risk score.

Based on the driver's driver's license acquisition information and insurance premium history information, the driver's driving skill level is derived, and the derived driving skill level is reflected in the final risk score, so that the risk of the driving route is based on the driver's driving experience and driving habits. It is possible to provide an apparatus, a method, and a computer program for providing a guide service.

If the driver's driving proficiency is not known, a device, method, and computer program that provides a risk guidance service for a driving route by deriving a final risk score based on whether the vehicle external risk index is less than or equal to a preset threshold value will be provided. I can.

1 is an exemplary diagram showing a guide service for a conventional driving route.
2 is a block diagram of an apparatus for providing a risk guidance service according to an embodiment of the present invention.
3A and 3B are exemplary diagrams for explaining a process of calculating an external risk index of a vehicle according to an embodiment of the present invention.
4A and 4B are exemplary diagrams for explaining a process of calculating a vehicle interior risk index according to an embodiment of the present invention.
5A to 5C are exemplary diagrams for explaining a process of deriving a final risk score according to an embodiment of the present invention.
6A to 6E are exemplary diagrams illustrating a risk level guidance service screen according to an embodiment of the present invention.
7 is a flowchart of a method of providing a risk level guidance service for a driving route of a vehicle in the apparatus for providing a risk level guidance service according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement the present invention. However, the present invention may be implemented in various different forms and is not limited to the embodiments described herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is said to be "connected" with another part, this includes not only "directly connected" but also "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, it means that other components may be further included, and one or more other features, not excluding other components, unless specifically stated to the contrary. It is to be understood that it does not preclude the presence or addition of any number, step, action, component, part, or combination thereof.

In the present specification, the term "unit" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. Further, one unit may be realized by using two or more hardware, or two or more units may be realized by one piece of hardware.

In this specification, some of the operations or functions described as being performed by the terminal or device may be performed instead in a server connected to the terminal or device. Likewise, some of the operations or functions described as being performed by the server may also be performed by a terminal or device connected to the server.

Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

1 is an exemplary diagram showing a guide service for a conventional driving route. Referring to FIG. 1, in the related art, when a driver sets a destination through a navigation device provided in a vehicle, the navigation device displays an accident-prone area 110 together with a route guide 100 from a departure point to a destination.

The conventional navigation device guides the accident-prone area 110, which is static information, based on statistics of the past accident history on the road with frequent dynamic changes when the vehicle is driving on the road, so that the dynamic risk change for the currently driving road is monitored in real time. It has the disadvantage of not being able to reflect.

In addition, the conventional navigation device has a disadvantage in that it does not take into account that the risk of an accident may vary according to a driver's driving experience or driving habit on the same road.

2 is a block diagram of an apparatus for providing a risk guidance service according to an embodiment of the present invention. Referring to FIG. 2, the apparatus 200 for providing a risk guidance service includes a collection unit 210, a first calculation unit 220, a second calculation unit 230, a risk score derivation unit 240, and a provision unit 250. It may include.

The collection unit 210 may collect environmental information related to a road environment and driving information of a vehicle with respect to a driving route of the vehicle.

The first calculation unit 220 may calculate a vehicle external risk index for a driving route based on the collected environmental information. The process of calculating the risk index outside the vehicle will be described in detail with reference to FIGS. 3A and 3B.

3A and 3B are exemplary diagrams for explaining a process of calculating an external risk index of a vehicle according to an embodiment of the present invention.

3A is an exemplary diagram showing environmental information according to an embodiment of the present invention. Referring to FIG. 3A, the environment information 300 may include static data and dynamic data related to a road environment in which the vehicle will travel. Static data 301 includes speed limit, azimuth angle, number of lanes, number of intersections, number of surrounding buildings, number of traffic lights, road length, road curvature, presence of bumps, presence or absence of a vehicle camera, etc., and dynamic data 302 includes date, It may include the time of day, the current speed of the vehicle, the traffic density of the road on which the vehicle is located, the solar altitude, the solar azimuth angle, and the like.

Here, in the case of the number of neighboring buildings, since electric signs and billboards may affect safe driving in urban areas, buildings with 5 floors or more are considered commercial buildings, and the number of buildings for each road link can be calculated and used as learning data. have. In the case of the solar altitude and the solar azimuth, the solar altitude and azimuth, which are different depending on the driving time and driving direction, not simple time zone information, can be used as learning data, so that the influence on the driver's field of view can be learned.

As described above, the reason for using environmental information is that according to statistics, in the case of traffic lights (crosswalks), the accident frequency increases according to the number of traffic lights, and in the case of cameras, the accident frequency increases in areas where there is no speeding/speeding camera. In the case of bumps, the frequency of accidents increases at heights without speed bumps, in the case of solar altitude, the frequency of accidents increases during the day, and in the case of the difference between the driving direction azimuth and the solar azimuth, the more the vehicle is facing the sun, the higher the accident frequency. Research results exist. As a result of this study, environmental information has a close relationship with the risk of an accident, so it is to calculate the risk index outside the vehicle using environmental information.

3B is an exemplary diagram illustrating a vehicle external risk index for each road link calculated according to an embodiment of the present invention. The first calculation unit 220 may calculate a vehicle external risk index for each of at least one road link constituting a driving route of the vehicle by using the first learning model learned based on pre-registered environmental information. Here, the vehicle external risk index may be calculated for each road link based on _{RS out} =R _out (Link _{i ).}

Referring to FIG. 3B, in the vehicle external risk index 310 calculated for each road link, the risk of a link corresponding to '1130008502' may be identified as '93'.

Returning to FIG. 2 again, the second calculation unit 230 may calculate an in-vehicle risk index for the driving route based on the collected driving information. The process of calculating the risk index inside the vehicle will be described in detail with reference to FIGS. 4A and 4B.

4A and 4B are exemplary diagrams for explaining a process of calculating a vehicle interior risk index according to an embodiment of the present invention.

4A is an exemplary diagram showing driving information according to an embodiment of the present invention. Referring to FIG. 4A, the driving information 400 may include an overspeed driving time of the vehicle for the driver, the number of sudden accelerations, the number of rapid decelerations, a constant speed driving time, weather, a driving distance, and the like.

4B is an exemplary diagram illustrating a vehicle interior risk index calculated for each road link according to an embodiment of the present invention. The second calculation unit 230 may calculate an in-vehicle risk index for each of at least one road link constituting a road on which the vehicle is to be driven, using a second learning model learned based on previously registered driving information. Here, the vehicle interior risk index may be calculated for each road link based on _{RS in} =R _in (Link _{i ).}

Referring to FIG. 4B, it can be seen that the risk index 410 calculated for each road link has the highest risk of a link corresponding to '1220024102' as '70'.

Returning to FIG. 1 again, the risk score derivation unit 240 may derive a final risk score for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index. Here, the final risk score may be calculated through Equation 1 below.

The risk score derivation unit 240 assigns a weight between the vehicle exterior risk index and the vehicle interior risk index to determine the final risk score (RS _i , 0 _{≤ RS i)} ≤100) can be derived. Here, the weight may be given based on the driver's driving skill level, and when the driver's driving skill level cannot be recognized, the weight may be assigned based on whether the vehicle external risk index is equal to or less than a preset threshold.

According to an embodiment, the risk score derivation unit 240 may reflect a weight based on the driver's driving skill level.

The collection unit 210 may collect driver's license acquisition information and insurance premium history information for the driver of the vehicle.

The risk score derivation unit 240 may derive a driving skill level for a driver of the vehicle based on the collected driver's license acquisition information and insurance premium history information. For example, the risk score derivation unit 240 defines a driver within 3 years of obtaining a driver's license as a beginner, and defines a driver with more than 3 years of obtaining a driver's license and less than 5 insurance premiums as a proficient driver, Drivers with more than 3 years of driver's license and more than 5 insurance premiums can be defined as accident-prone drivers.

The risk score derivation unit 240 may assign a weight using Equation 2 below.

(Where, 0=w _in , w _out =1, w _in +w _out =1)

Referring to Equation 2, the risk score derivation unit 240 may derive a final risk score by assigning a weight between the vehicle external risk index or the vehicle internal risk index based on the driving skill.

According to another embodiment, the risk score derivation unit 240 may derive a final risk score by using Equation 3 below when the driver's driving skill level cannot be determined.

Referring to Equation 3, the risk score derivation unit 240 assigns a weight between the vehicle external risk index and the vehicle internal risk index based on whether or not the calculated vehicle external risk index is less than or equal to a preset threshold value to calculate the final risk score. Can be derived.

The process of deriving the final risk score will be described in detail with reference to FIGS. 5A to 5C.

5A to 5C are exemplary diagrams for explaining a process of deriving a final risk score according to an embodiment of the present invention.

5A is an exemplary diagram illustrating a road link according to an embodiment of the present invention. Referring to FIG. 5A, each road link 510 corresponding to the road 500 may be configured. Here, the link corresponding to the driving path may be composed of link 0 521 → link 1 522 → link 2 523.

The risk score derivation unit 240 may derive a final risk score for the link i 520 based on each road link 510. For example, the risk score derivation unit 240 derives a final risk score for the link i 520 _{based on RS = RS 0} + RS ₁ + RS _{2 /3 based on three links corresponding to the driving route.} can do.

5B is a flowchart of a method of deriving a final risk score based on a driving skill level for a driver of a vehicle in the apparatus for providing a risk guidance service according to an embodiment of the present invention. Referring to FIG. 5B, the apparatus 200 for providing a risk guidance service may determine a change in road risk according to a change in the speed of the vehicle (S530).

For example, when there is no change in the risk of the driving route according to the change in speed (S531), the risk information service providing apparatus 200 sets the weight for the risk index outside the vehicle to '0' (S532), and A risk score can be derived (S541). That is, the apparatus 200 for providing a risk guidance service may derive a final risk score by reflecting only the user's driving habit when there is no external environmental risk.

For another example, the apparatus 200 for providing a risk guidance service may derive the driver's driving skill level when a change in the risk of a driving route according to a change in speed is issued (S533).

For example, when the driver is a proficient driver (S535), the risk information service providing apparatus 200 assigns a weight to the vehicle internal risk index as '0.3' and a weight for the vehicle external risk index as '0.7'. By assigning, the vehicle interior risk index is assigned to be equal to or less than the vehicle exterior risk index (S538), and a final risk score may be derived (S541). That is, when the driver is a proficient driver, the risk guidance service providing apparatus 200 may assign a weight to increase the risk index outside the vehicle according to the external environment.

For another example, when the driver is a beginner driver (S536), the risk information service providing apparatus 200 assigns a weight to the vehicle internal risk index as '0.5', and assigns a weight to the vehicle external risk index as '0.5' By assigning to, the vehicle internal risk index and the vehicle external risk index are given the same (S539), and a final risk score can be derived (S541).

For another example, when the driver is a driver with frequent accidents (S537), the apparatus 200 for providing a risk guidance service assigns a weight to the vehicle internal risk index to '0.7' and assigns a weight to the vehicle external risk index to ' By assigning it as 0.3', the vehicle interior risk index is assigned to be equal to or greater than the vehicle exterior risk index (S540), and a final risk score can be derived (S541). That is, when the driver is a driver with frequent accidents, the apparatus 200 for providing a risk guidance service may assign a weight to increase the risk index inside the vehicle according to the driver's driving habit.

5C is a flowchart of a method of deriving a final risk score when the risk level guidance service providing apparatus according to an embodiment of the present invention cannot grasp the driving skill level of the driver of the vehicle. Referring to FIG. 5C, the apparatus 200 for providing a risk guidance service may calculate an external risk index for a driving route based on environmental information, and may calculate an internal risk index for a driving route based on the driving information. (S550).

The risk information service providing apparatus 200 may determine whether the vehicle external risk index is less than or equal to a threshold (eg, 50) (S551).

For example, the apparatus 200 for providing a risk guidance service may assign a weight to the risk index inside the vehicle when the risk index outside the vehicle is less than or equal to the threshold value (S552) (S553). For example, when the vehicle external risk index is '40' and the threshold value is '50', the risk guidance service providing device 200 considers the safety of the driving route to be high, and the weight (w _in ) = outside the vehicle It can be weighted like a risk index (RS _{out )/100.} That is, on a safe road, weights can be given to lower the risk index inside the vehicle.

As another example, when the risk index outside the vehicle exceeds the threshold value (S554), the apparatus 200 for providing a risk guidance service may assign a weight based on the risk index outside the vehicle and the risk index inside the vehicle (S555). . For example, when the vehicle external risk index is '60' and the threshold value is '50', the risk guidance service providing apparatus 200 considers the safety of the driving route to be low, and the weight (w _in ) = {( A weight may be assigned based on _{RS out} /100)+(RS _{in /100)}.} That is, for roads with a high level of unsafe risk, weights may be given so that the risk index inside the vehicle is higher.

The apparatus 200 for providing a risk guidance service may derive a final risk score based on the assigned weight (S556). Here, the risk information service providing apparatus 200 may derive a final risk score based on the final risk score _{(RS i} ) = weight (w _in ) vehicle internal risk index (RS _{in ).} Hereinafter, it will be described on the assumption that the vehicle interior risk index (RS _{in ) is 70 (if RS i} >100, 100).

For example, the apparatus 200 for providing a risk guidance service may derive a final risk score as (0.4*70)=28 for a case where the risk index outside the vehicle is less than or equal to a threshold value. For another example, the apparatus 200 for providing a risk guidance service may derive a final risk as (0.6+0.7)*70=91 when the risk index outside the vehicle exceeds a threshold value.

Returning to FIG. 2 again, the providing unit 250 may provide a risk guidance service for a driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index. For example, the providing unit 250 may provide a risk guidance service for a driving route based on the derived final risk score.

6A to 6E are exemplary diagrams illustrating a risk level guidance service screen according to an embodiment of the present invention.

Referring to FIG. 6A, the apparatus 200 for providing a risk guidance service may select any one recommended route from a starting point to a destination through a screen 600 of a risk guidance service before driving. For example, the risk information service providing apparatus 200 may receive a selection of one of the safety route 601, the fastest route 602, and the shortest route from the user and select the'start guidance' button 603. .

Referring to FIG. 6B, when the risk guidance service providing device 200 receives a'fastest route' 610 from the user, the risk guidance service providing device 200 runs on the'fastest route' 610 The route 611 may be displayed, and traffic information and traffic conditions generated in the corresponding route may be displayed. The apparatus 200 for providing a risk guidance service may provide a route guidance for a “fastest route” 610 by receiving a “start guidance” button from a user. If there is a high possibility that traffic congestion occurs due to road construction, etc. in the'fastest route' 610, the risk guidance service providing device 200 provides a'safe route' by receiving a tap or swiping left and right from the user. can do.

Referring to FIG. 6C, when the risk guidance service providing apparatus 200 receives a selection of a'safe route' 620 from a user, the risk guidance service providing apparatus 200 includes a driving route for the'safe route' 620 ( 621), and risk information 622 generated in the corresponding route may be displayed. For example, the apparatus 200 for providing a risk guidance service may display the risk information 622 such as “the probability of an accident is 15% lower than that of other routes”.

Referring to FIG. 6D, when the risk information service providing device 200 receives the risk level information 622 from the user, the congestion section prediction information 631 for the'safe route' 620 through a pop-up window 630, Detailed risk information such as a risk score 632 for each time period and a road risk 633 may be provided.

Referring to FIG. 6E, when a user requests to start driving of the'safe route' 620, the apparatus 200 for providing a risk guidance service displays the driving route of the'safe route' 620 and at the same time A location 640 and a real-time speed 641, a driver's driving habit score 642, a road accident risk 643, and a real-time accident risk 644 may be displayed together. Here, the real-time speed 641 of the vehicle is displayed as 65km/h, the driving habit score 642 shows the risk score according to the individual driving habit, and the road accident risk 643 is predicted according to the travel speed of the road. The risk score can be displayed. If information with a high degree of road risk is generated in the front section, the apparatus 200 for providing a risk information service may output a risk information message such as “the risk of an accident on the road ahead is high. Please slow down”. The real-time accident risk 644 may display a final accident risk score that combines road accident risk and personal driving habit scores.

The apparatus 200 for providing a risk guidance service may be executed by a computer program stored in a medium including a sequence of instructions for providing a risk guidance service for a driving route of a vehicle. When the computer program is executed by the computing device, it collects environmental information related to the road environment and the driving information of the vehicle for the driving route of the vehicle, and calculates an external risk index for the vehicle for the driving route based on the collected environmental information, Based on the collected driving information, a sequence of instructions for calculating the risk index inside the vehicle for the driving route, and providing a risk guidance service for the driving route based on the calculated external risk index and the calculated vehicle internal risk index A computer program stored in a containing medium may be provided.

7 is a flowchart of a method of providing a risk level guidance service for a driving route of a vehicle in the apparatus for providing a risk level guidance service according to an embodiment of the present invention. A method of providing a risk level guide service for a driving route of a vehicle in the risk level guide service providing device 200 shown in FIG. 7 is performed by the risk level guide service providing device 200 according to the embodiment shown in FIGS. 2 to 6E. It includes steps that are processed in time series. Accordingly, even if omitted below, the method of providing a risk guidance service for a driving route of a vehicle in the apparatus 200 for providing a risk guidance service according to the embodiment illustrated in FIGS. 2 to 6E is also applied.

In step S710, the apparatus 200 for providing a risk guidance service may collect environmental information related to a road environment and driving information of a vehicle.

In step S720, the apparatus 200 for providing a risk guidance service may calculate an external risk index for a driving route based on the collected environmental information.

In operation S730, the apparatus 200 for providing a risk guidance service may calculate an in-vehicle risk index for a driving route based on the collected driving information.

In operation S740, the apparatus 200 for providing a risk level guidance service may provide a risk level guidance service for a driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index.

In the above description, steps S710 to S740 may be further divided into additional steps or may be combined into fewer steps, according to an embodiment of the present invention. In addition, some steps may be omitted as necessary, and the order between steps may be switched.

A method of providing a risk guidance service for a driving route of a vehicle in the apparatus for providing a risk guidance service described with reference to FIGS. 2 to 7 includes a computer program stored in a medium executed by a computer or a computer-executable instruction. It can also be implemented in the form of a medium. In addition, the method of providing a risk guidance service for a driving route of a vehicle in the apparatus for providing a risk guidance service described with reference to FIGS. 2 to 7 may be implemented in the form of a computer program stored in a medium executed by a computer.

Computer-readable media can be any available media that can be accessed by a computer, and includes both volatile and nonvolatile media, removable and non-removable media. Further, the computer-readable medium may include a computer storage medium. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above description of the present invention is for illustrative purposes only, and those of ordinary skill in the art to which the present invention pertains will be able to understand that other specific forms can be easily modified without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and are not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present invention is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

200: risk information service providing device
210: collection unit
220: first calculation unit
230: second calculation unit
240: risk score derivation unit
250: providing unit

Claims (18)

In the apparatus for providing a risk guidance service for a driving route of a vehicle,
A collection unit for collecting environmental information related to a road environment of the vehicle driving route and driving information of the vehicle;
A first calculator configured to calculate an external risk index for the driving route based on the collected environmental information;
A second calculation unit that calculates an in-vehicle risk index for the driving route based on the collected driving information; And
A providing unit that provides a risk level guidance service for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index
Containing, risk guidance service providing device.
The method of claim 1,
The first calculation unit calculates the vehicle external risk index for each of at least one road link constituting the driving route of the vehicle by using a first learning model learned based on pre-registered environmental information. Delivery device.
The method of claim 2,
The environment information includes static data and dynamic data related to a road environment in which the vehicle will travel,
The static data includes at least one of speed limit, azimuth angle, number of lanes, number of intersections, number of surrounding buildings, number of traffic lights, road length, road curvature, presence or absence of a bump, and presence or absence of a camera of the vehicle,
The dynamic data includes at least one of a date, a time, a current speed of the vehicle, a traffic density of a road on which the vehicle is located, a solar altitude, and a solar azimuth angle.
The method of claim 1,
The second calculation unit calculates the vehicle internal risk index for each of at least one road link constituting the road on which the vehicle is to be driven, using a second learning model learned based on previously registered driving information. Service provision device.
The method of claim 4,
The driving information includes at least one of an overspeed driving time, a sudden acceleration number, a rapid deceleration number, a constant speed driving time, weather, and a driving distance of the vehicle.
The method of claim 1,
The apparatus for providing a risk guidance service further comprises a risk score derivation unit for deriving a final risk score for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index.
The method of claim 6,
The collecting unit further collects driver's license acquisition information and insurance premium history information for the driver of the vehicle.
The method of claim 7,
The risk score derivation unit is to derive a driving skill level for a driver of the vehicle based on the collected driver's license acquisition information and insurance premium history information.
The method of claim 8,
The risk score derivation unit derives the final risk score by assigning a weight between the vehicle external risk index or the vehicle internal risk index based on the derived driving skill level,
The providing unit is to provide a risk guide service for the driving route based on the derived final risk score.
The method of claim 6,
The risk score derivation unit derives the final risk score by assigning a weight between the vehicle external risk index and the vehicle internal risk index based on whether the calculated vehicle external risk index is less than or equal to a preset threshold value,
The providing unit is to provide a risk guide service for the driving route based on the derived final risk score.
In a method of providing a risk guidance service for a driving route of a vehicle,
Collecting environmental information related to a road environment for the driving route of the vehicle and driving information of the vehicle;
Calculating a vehicle external risk index for the driving route based on the collected environmental information;
Calculating an in-vehicle risk index for the driving route based on the collected driving information; And
Providing a risk level guidance service for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index
Containing, a method of providing a risk guidance service.
The method of claim 11,
The step of calculating the risk index outside the vehicle,
To calculate the vehicle external risk index for each of at least one road link constituting the driving route of the vehicle by using the first learning model learned based on pre-registered environmental information.
The method of claim 11,
The step of calculating the vehicle interior risk index,
To calculate the vehicle internal risk index for each of at least one road link constituting the road on which the vehicle is to be driven by using a second learning model learned based on previously registered driving information.
The method of claim 11,
Deriving a final risk score for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index
The method of providing a risk guidance service further comprising a.
The method of claim 14,
Collecting driving license acquisition information and insurance premium history information for a driver of the vehicle; And
Deriving a driving skill level for the driver of the vehicle based on the collected driver's license acquisition information and insurance premium history information
The method of providing a risk guidance service further comprising a.
The method of claim 15,
Deriving the final risk score by assigning a weight between the vehicle external risk index or the vehicle internal risk index based on the derived driving skill level; And
Providing a risk guidance service for the driving route based on the derived final risk score
The method of providing a risk guidance service further comprising a.
The method of claim 11,
Receiving a starting point and a destination for the driving route;
Providing a recommended route based on the input source and destination; And
Correcting the provided recommended route based on the calculated vehicle external risk index and the calculated vehicle internal risk index, and providing a risk guidance service for the driving route through the corrected recommended route
The method of providing a risk guidance service further comprising a.
In a computer program stored in a medium including a sequence of instructions for providing a risk guidance service for a driving route of a vehicle,
When the computer program is executed by a computing device,
Collecting environmental information related to the road environment and driving information of the vehicle for the driving route of the vehicle,
Calculate a vehicle external risk index for the driving route based on the collected environmental information,
Calculate an in-vehicle risk index for the driving route based on the collected driving information,
A computer program stored in a medium comprising a sequence of instructions for providing a risk guidance service for the driving route based on the calculated vehicle external risk index and the calculated vehicle internal risk index.

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