KR102221017B1 - Method for guiding platooning service, server and user equipment for providing the same method - Google Patents

Abstract

The present invention relates to a method for guiding group driving service. According to the present invention, the method for guiding group driving of a group driving guide service includes the steps of: receiving an input of a user′s destination; determining at least one target group or a new group which can be created from among candidate groups which can participate according to a destination; determining a joining location of a user with respect to the determined target group or a new group; and providing a route guidance according to the joining location. According to the present invention, since a group suitable for a user requesting group is selected and provided, the user can join the most efficient group on a route and perform the grouping.

Description

Guiding method for cluster driving service, server and user terminal performing the same {Method for guiding platooning service, server and user equipment for providing the same method}

The present invention relates to a guide method for a cluster driving service.

With the development of vehicle communication technology and autonomous driving technology, cluster driving technology in which multiple vehicles move in groups for more efficient driving has recently emerged in the commercial vehicle industry.

Cluster driving is a technology that optimally maintains the distance between vehicles through vehicle-to-vehicle (V2V) or vehicle-to-infrastructure (V2X) communication through vehicle communication, and improves convenience and stability through autonomous driving.

Cluster driving can eliminate congestion by minimizing the vehicle's occupancy on the road, and fuel efficiency can be improved in the case of following vehicles, thereby increasing the efficiency of the entire logistics distribution.

Due to this effect, technology development has been carried out mainly by European vehicle manufacturers that produce large-sized trucks, and recently, various technologies related to platforms supporting this have been developed in the United States.

Currently, cluster driving technologies are mainly developed to maintain the cluster after the cluster is formed, mainly by adjusting the gap using communication between vehicles and sharing the situation in front of the road, but to increase the utilization of the cluster driving Prior to formation, it is necessary to expand the possibility of forming real clusters and develop technologies for platforms that match users.

An object of the present invention is to provide a service platform for cluster formation between a vehicle in cluster driving and a vehicle requesting cluster driving.

In addition, an object of the present invention is to provide a method of expanding the possibility of forming a cluster for running in a cluster.

In addition, an object of the present invention is to provide a method for users to request a cluster driving more easily and join a selected cluster.

A cluster driving guidance method of a cluster driving guidance server according to the present invention for solving the above technical problem includes the steps of: receiving a destination of a user; Determining at least one target cluster or a new cluster that can be created from among candidate clusters that can participate according to the destination; Determining a joining position of a user with respect to the determined target cluster or the new cluster; And providing a route guide according to the confluence location.

In determining the cluster, it is preferable to calculate a feature value for each evaluation item determined in advance for the candidate cluster, and determine the target cluster by collecting the calculated feature values.

It is preferable that the new cluster is determined by whether at least two or more users have a common route according to the origin and destination.

It is preferable that the feature value is determined according to a common distance between a driving route of the candidate cluster and a route according to the user's destination.

It is preferable that the feature value is determined by comparing the feature of the vehicle of the candidate cluster with the feature of the vehicle of the user.

The feature value is preferably determined according to fuel consumption efficiency information according to the past driving history of the leader vehicle of the candidate cluster or the driving history of the current cluster.

In determining the confluence location, it is preferable to dynamically determine the confluence location according to the current location of the user or the location of the target cluster for each unit section or unit time.

In the providing of the path guidance, it is preferable to provide a speed guidance according to a relative speed between the user and the target cluster with respect to the dynamically determined confluence position.

The cluster driving guide server according to the present invention for solving the above technical problem includes: a communication gateway for receiving a cluster request from a user and transmitting information about a cluster driving guide; A cluster list management unit that manages information on vehicles during cluster driving or waiting for cluster driving as a cluster list, and determines at least one target cluster from among candidate clusters that can participate or a new cluster that can be created according to a user's destination; And a cluster driving route determination unit configured to provide route guidance by determining a joining position of the user with respect to the determined target cluster or the new cluster.

According to the present invention, since a cluster suitable for a user requesting cluster driving is selected and provided, the user can join the most efficient cluster on a route and perform cluster driving.

In addition, when a cluster is selected, a driving guide for joining the cluster may be provided, and an optimal joining method may be provided by reflecting situation information received from an infrastructure around a road.

In addition, when there is no cluster that can be joined at present, a method of newly generating a cluster is provided, thereby increasing the possibility of cluster driving and further enhancing social and economic benefits of cluster driving.

1 is a diagram showing a system for providing a cluster driving guide service according to an embodiment of the present invention.
2 is a diagram illustrating an interface of a user terminal providing a cluster driving guide service according to an embodiment of the present invention.
3 is a diagram illustrating a service providing process of a cluster driving guide service according to an embodiment of the present invention.
4 and 5 are diagrams illustrating a situation of providing a cluster driving guide service according to an embodiment of the present invention.
6 is a diagram illustrating a service providing process of a cluster driving guide service according to an embodiment of the present invention.
7 is a diagram illustrating a server providing a cluster driving guide service according to an embodiment of the present invention.

The following content merely illustrates the principle of the invention. Therefore, although those skilled in the art can implement the principles of the invention and invent various devices included in the concept and scope of the invention, although not clearly described or illustrated herein. In addition, it should be understood that all conditional terms and examples listed in this specification are, in principle, clearly intended only for the purpose of understanding the concept of the invention, and are not limited to the embodiments and states specifically listed as such. .

The above-described objects, features, and advantages will become more apparent through the following detailed description in connection with the accompanying drawings, and accordingly, a person of ordinary skill in the technical field to which the invention pertains will be able to easily implement the technical idea of the invention. .

In addition, when it is determined that a detailed description of a known technology related to the invention may unnecessarily obscure the subject matter of the invention, a detailed description thereof will be omitted. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

On the other hand, in the specification and claims, terms such as "first", "second", "third" and "fourth", if any, are used to distinguish between similar elements, but not necessarily It is used to describe a specific sequence or order of occurrence. It will be understood that the terms so used are compatible under appropriate circumstances such that the embodiments of the invention described herein may, for example, be operated in sequences other than those shown or described herein. Likewise, where a method herein is described as comprising a series of steps, the order of those steps presented herein is not necessarily the order in which those steps can be performed, and any described steps may be omitted and/or may be omitted herein. Any other steps not described could be added to the method.

Referring to FIG. 1, the system for providing a cluster driving guide service according to the present embodiment receives and manages information on a cluster 30 performing cluster driving through a network 100, and a user terminal 10:10 -1) Or, when a cluster driving is requested through the in-vehicle device 10:10-2, the server 100 (hereinafter, referred to as a server for convenience) that provides guidance for cluster driving may be configured.

In addition, a network infrastructure 200 that provides environmental information such as road traffic information or weather, and other information related to cluster driving may be included. Hereinafter, a method for guiding cluster driving performed by the server 100 according to the present embodiment will be described in detail with reference to the drawings.

[Example 1]

The cluster driving guidance method of the server 100 according to an embodiment of the present invention may select and provide candidate clusters that can participate in accordance with a user's request for cluster driving.

In addition, it is possible to provide a candidate cluster, determine a joining position of the candidate cluster at the user's current location, and provide a path guide for joining.

Specifically, referring to FIG. 3, in the cluster driving guidance method according to the present embodiment, the step of receiving a user's destination (S30), determining at least one target cluster among candidate clusters that can participate according to the destination (S40), It may include determining the joining position of the user with respect to the determined target cluster (S50), and providing path guidance according to the joining position (S60).

First, the server 100 may receive the user's driving destination information along with an indication of the intention to perform cluster driving from the user (S30).

For example, the user may execute an application provided by the server 100 through the user terminal 10 and transmit a cluster driving request to the server 100.

Referring to FIG. 2, a user may first input a departure point 10a and destination information 10b through an application and transmit cluster driving request information to the cluster driving guidance server 100.

When the server 100 receives the user's destination information, it determines at least one target cluster among candidate clusters that can participate according to the destination (S40).

Referring to FIG. 4, in the present embodiment, the server 100 manages information (30a, 30b, 30c, 30d, 30e) of clusters in which clusters are formed and running together with cluster requests from a plurality of users, and When a cluster request is received, an optimal cluster can be selected and determined as a target cluster.

Specifically, the server 100 may determine a target cluster by calculating a feature value for each evaluation item determined in advance for the candidate cluster, and collecting the calculated feature values.

In this embodiment, evaluation items for selecting a target cluster may be predetermined and classified in the server 100.

The server 100 may classify items for determining an appropriate cluster for a user into economic factors and safety factors.

The economic factor is an effect that can be achieved by the user through cluster driving, and can be determined as a factor that affects fuel reduction.

In addition, the safety factor may be determined as a factor affecting the risk of an accident that may occur when driving in clusters or a possibility of compensation according to the accident.

First, when explaining the economic factor, in the present embodiment, the server 100 may classify each evaluation item corresponding to the economic factor into priority order in the order of the greatest influence.

For example, a candidate cluster having the longest common route may be determined as the target cluster by comparing a route from a departure point to a destination of a user requesting cluster driving with a first priority and driving routes of other candidate clusters.

In addition, it is possible to compare the path of the user with the path of the candidate cluster, but determine the target cluster using not only the common length of the simple path but also the characteristics of each section of the common path.

It is also possible to numerically calculate the degree of influence on cluster driving based on features such as congestion for each section of a common route as a feature for each section, expected efficiency of cluster driving for each section, curvature of the section, and slope.

For example, when clusters having a common path of similar length exist, a cluster having a path composed of a section with relatively low congestion may be determined as the target cluster.

Alternatively, unlike the length of the common path, it is possible to determine the target cluster by using the time available for driving by cluster driving after joining. For example, even if the length of a common path is long in consideration of road conditions, a case in which the time required to travel in cluster driving may be short may occur, so it is possible to consider the time available for driving in cluster driving.

In addition, it is also possible to determine appropriateness according to the degree of similarity by comparing the characteristics of the vehicles constituting the candidate cluster with the second priority and the specifications between vehicles of the user requesting the cluster driving. Primaryly, the efficiency of cluster driving can be increased as the size and shape of vehicles located in the front and rear are similar, and a rear vehicle that is similar in size and shape to the front vehicle can reduce air resistance and relatively reduce fuel consumption.

Accordingly, the server 100 may receive information about the user's vehicle model, year, and cargo size in advance, and may determine a cluster including similar or identical models among candidate clusters as the target cluster.

In this case, if the server 100 selects a target cluster to be joined based on the vehicle of the same model, it may be advantageous from the viewpoint of operation of the server 100. In general, the same model vehicles of the same year have the same size, so the server 100 may select and provide a target cluster without having to calculate the efficiency according to a separate air resistance.

In addition, since the same model has the same acceleration and braking force from the viewpoint of driving the vehicle, there is an effect that it is possible to more efficiently control the distance maintenance and acceleration and deceleration for cluster driving.

Accordingly, the server 100 may select a cluster consisting of vehicles of the same or similar model as the user's vehicle model as a target cluster to achieve various effects according to cluster driving.

In addition, the server 100 not only determines whether the vehicle constituting the candidate cluster is the same as the user's vehicle, but also targets the cluster with the same model of the front vehicle in consideration of the position at which the user is determined to travel within the cluster. It is also possible to decide.

In other words, in cluster driving, the air resistance varies according to the size of the vehicle running right in front of the vehicle, so even if the vehicle of the same model is in the cluster, fuel saving effect by cluster driving is expected when the user's confluence position is not immediately behind. It may be less than that, so the effect of cluster driving can be maximized by comparing it with the model of the vehicle in front of the actual confluence location.

However, when there is no vehicle of the same model or year or it is difficult to determine, the server 100 may select a cluster based on the actual size of the vehicle.

For example, when requesting a cluster, the user may directly input size information for his or her vehicle or input model and year information to indirectly determine the size.

Next, the server 100 may select a target cluster by comparing the size of the vehicle in the candidate cluster with the size of the user's vehicle.

In this case, the size of the vehicle in the candidate cluster may be information directly input by a driver of the corresponding vehicle, and in some cases, may be a size recognized by a sensor of a vehicle positioned in front of or behind the vehicle in the candidate cluster.

Hereinafter, selection of target clusters according to safety factors will be described.

In this embodiment, the server 100 may determine the target cluster by further considering safety factors in addition to economic factors.

Accordingly, as a safety factor, the server 100 may configure the possibility of occurrence of an accident situation such as a forward collision that may occur during cluster driving, and a range of compensation that can be compensated in case of an accident as evaluation items.

In general, in the case of cluster driving, the driver drives directly in the case of the leader vehicle, but in the case of the following vehicles, the autonomous driving system maintains the distance from the vehicle in front of the vehicle and performs operations such as acceleration and deceleration.

Therefore, the occurrence of an accident in cluster driving may be mainly influenced by the driving ability of the leader vehicle in addition to external environmental factors.

That is, in the present embodiment, the safety factors may be determined based on the leader vehicle of the candidate cluster. For example, the likelihood of an accident situation may be determined based on accident history information of drivers driving each leader vehicle of the candidate cluster.

Specifically, in addition to the above-described common path, it is possible to further determine whether a corresponding path has an accident and use it as a negative factor when selecting a target cluster.

Alternatively, in addition to the accident history of the leader vehicle, it is also possible to determine the possibility of an accident in the common path itself for each section and use it for selecting a target cluster.

In addition, it is also possible to determine the possibility of an indirect accident based on the age of the driver of the leader vehicle, driving experience, and driving time in cluster driving.

In addition, it is also possible to use the range that can be compensated in case of an accident other than the possibility of an accident as a positive factor when selecting a target cluster.

As described above, the likelihood of an accident may vary depending on the driving ability of the driver of the leader vehicle, and compensation for the accident may also be made by the driver of the leader vehicle, so the coverage of the insurance in which the leader vehicle is subscribed is an additional factor. Can be used.

The server 100 according to the present embodiment calculates and calculates feature values according to items classified into economic factors and safety factors for each candidate cluster, and selects the most appropriate target cluster for the user based on the feature values. I can.

In addition, the server 100 may select a cluster having the shortest driving distance for confluence as a target cluster in consideration of the current location of the user's vehicle and the locations of candidate clusters as a priority factor in addition to the above factors.

That is, when the influence of the above-described economic or safety factors is small according to the characteristics of the vehicle or route of the user requesting the cluster driving, the cluster having the shortest distance for confluence may be determined as the target cluster. Alternatively, it is possible to select a cluster having the shortest driving time for joining.

Alternatively, even when the convenience of driving through cluster driving is more important than economic factors or safety factors according to the user's tendency, the cluster having the shortest driving time for joining may be determined as the target cluster.

When the target cluster is determined among the candidate clusters through the above process, the server 100 determines the joining position of the user with the target cluster (S50).

That is, the server 100 may determine an expected location for the user to join the cluster as the joining location in consideration of the current location of the user and the current location and speed of the target cluster.

Referring to FIG. 5, the server 100 considers the situation of the road together, excludes locations where congestion is expected or congestion is difficult or impossible due to road construction, etc., and a road junction that can join an appropriate confluence location to the target cluster 30T It can be determined from (50a, 50b, 50c).

Furthermore, in the present embodiment, the server 100 may change and determine the joining position to an appropriate position according to the driving situation of the user. For example, it is possible to determine by recalculating the confluence position per unit distance or as the user gets closer to the cluster from the initial starting point.

At this time, the confluence location may be selected and determined as the location approaches the cluster from among a plurality of locations, or a wider range of the location rather than the location is determined as the confluence location, but the confluence location is narrowed in a form that decreases the area as it approaches the cluster. It is also possible.

In another embodiment, in a state in which a plurality of target clusters among candidate clusters is determined and a plurality of joining positions are determined, a cluster to be joined may be determined according to a driving state of a user, and a joining position may be determined. That is, although there were several target clusters, one may be determined, or a target cluster determined as one may be changed according to the driving situation or the user's intention. In this case, the confluence position for the changed target cluster may be re-determined.

Next, when the joining position is determined, the server 100 provides route guidance to the user (S60).

The route guidance at this time may be dynamically provided unlike the existing method. In the present embodiment, the user travels according to the destination, but the server 100 may provide a route guide accordingly because the user must travel to the stopover at the confluence position determined for cluster driving.

In addition, since the confluence position for cluster driving is an object that moves according to the movement of the cluster unlike the destination, it is necessary to provide a route guide in consideration of more various factors.

In more detail, the route guidance for cluster driving may include guidance of the speed of the vehicle for joining the cluster together with guidance of a traveling direction.

For example, if the driving speed of the cluster is faster than the driving speed of the user's vehicle and the cluster is ahead of the path, it is not possible to physically join the cluster.Therefore, it is possible to provide guidance information of the speed of the user vehicle in consideration of the driving speed of the cluster I can.

Further, in this embodiment, guidance of the vehicle speed may be provided for both sides. That is, since roads used for cluster driving are mainly high-speed roads, and a speed limit is generally determined for high-speed roads, it may be dangerous for vehicles joining the cluster to travel beyond the driving speed for merging.

Accordingly, it is possible to generate and provide guide information so as to decelerate the driving speed of the cluster according to the distance between the user's vehicle and the cluster and to accelerate the speed of the user's vehicle close to the limit speed.

As described above, according to an embodiment of the present invention, the server 100 may select and provide the most appropriate cluster to the user according to the user's request for cluster driving.

In addition, it is possible to make it easier for the user to join the cluster by determining the joining position of the selected cluster and providing a path guide for the selected cluster.

[Example 2]

In another embodiment of the present invention, in addition to selecting a target cluster from the user, the server 100 may generate a new cluster by using information of users requesting cluster driving.

In general, cluster driving aims to increase fuel efficiency by reducing air resistance of vehicles located in the rear by driving in a row, but the fuel efficiency of the entire cluster may decrease as the number of vehicles participating in the cluster increases.

For cluster driving, it is essential to maintain the distance between vehicles in consideration of fuel efficiency.If the cluster increases, it becomes more difficult to maintain the distance between vehicles, and additional acceleration and deceleration control may occur to maintain the distance between vehicles, so overall fuel efficiency is reduced. Can decrease.

Accordingly, the number of vehicles constituting the cluster may be limited, and even if a user requests a cluster, in some cases, a candidate cluster that can be joined may not exist.

In this case, in this embodiment, the server 100 may create a new cluster in consideration of the origin and destination information of each of the users.

Referring to FIG. 6, the server 100 may receive a user's destination (S60) and determine whether there is a candidate cluster available for participation (S70).

If a candidate cluster exists, the target cluster may be selected according to the above-described embodiment and a route guide according to the confluence location may be provided (S40). However, if the candidate cluster does not exist, it is based on the user who requested multiple cluster driving. A new cluster can be created (S80).

Specifically, in the case of creating a new cluster, each vehicle is a vehicle that requests a cluster and can be a target for joining. Therefore, the server 100 is relatively clustered using the cluster determining factor according to the above-described embodiment. You can decide on a partner for formation.

For example, among the vehicles requesting the cluster, two vehicles having the longest common path are formed in a cluster with priority, but the leader vehicle may be determined based on the size of the vehicle and driver information among the two vehicles.

When the leader vehicle is determined, a confluence position of another vehicle with respect to the leader vehicle may be determined (S90), and route guidance according to the above-described embodiment may be performed (S100).

In addition, in order to form a new cluster from the viewpoint of the user interface, it is possible to check whether the vehicle is running in a cluster through the formation of a new cluster instead of joining the cluster, and a cluster can be formed and a leader can be determined according to the user's response.

In addition, the server 100 may guide the departure time at the expected starting point of each vehicle in order to create a new cluster when providing route guidance.

In order to join the cluster, the server 100 needs to perform a process such as determining a confluence position of the vehicle in consideration of various environmental information, guiding the path to the vehicle joining the cluster accordingly, and controlling the speed of the cluster.

Therefore, when the new cluster is created, the process performed after cluster creation can be reduced by determining and guiding the departure times of each vehicle according to the distance from the gathering location so that the vehicle can arrive at the common gathering location.

In addition, in the cluster driving, the fuel saving effect increases as the path along which the vehicle travels together increases, so that the cluster driving path can be extended by forming a cluster from the convening position.

[Example 3]

Additionally, in another embodiment of the present invention, the server 100 may use driving history information of a leader vehicle to determine a target cluster.

In the above-described embodiment, a method of selecting the most suitable cluster according to external requirements as an economic factor has been described, but in this embodiment, the driving history information of the leader vehicle of the cluster may be further used as an additional economic factor.

The fuel consumption reduction effect of cluster driving can be determined arithmetically according to characteristics such as the length of the cluster driving route, the characteristics of each route section, and the size of the vehicle, but the savings effect according to the actual driving depends on the driving ability of the driver of the leader vehicle. It can be different.

In this embodiment, the server 100 may determine the expected savings effect on the driving path of the current cluster by using driving history information of the driver of the leader vehicle of the candidate clusters, and reflect the calculated feature value as an evaluation item. Do.

The server 100 may collect information on the past driving history of the driver of the leader vehicle in advance and determine fuel consumption efficiency accordingly. Specifically, factors that affect fuel consumption, such as road congestion during driving, and environmental information such as weather, in addition to the driving distance and driving section as the past driving history can be stored and managed as historical data along with fuel consumption.

Accordingly, upon receiving the user's request for cluster driving, the server 100 may determine the fuel efficiency of the leader vehicle from among candidate clusters that can be joined, and determine the cluster of the leader vehicle having the highest fuel efficiency as the target cluster.

In addition, it is also possible to calculate the predicted fuel efficiency of the leader vehicle for the corresponding route using historical data in consideration of the actual driving route of the user. Through this, the user can join the cluster of leader vehicles that are expected to have the highest fuel efficiency during actual cluster driving on their driving route.

Furthermore, it is possible not only to determine fuel efficiency during cluster driving of the leader vehicle based on historical data in the past, but also to provide real-time fuel efficiency during driving of the current leader vehicle.

Since the current real-time fuel efficiency is a feature value that directly reflects the environment such as traffic conditions and weather that affects the current driving, it is possible to provide the most efficient cluster to the user as a target cluster through this.

Hereinafter, the configuration of the server 100 according to the present embodiment will be described with reference to FIG. 7.

In this embodiment, the server may include a communication gateway 110 that communicates with a vehicle running in a cluster, a vehicle requesting to join the cluster, and an external infrastructure providing other road condition information.

The communication gateway 110 continuously receives and manages information of a vehicle in cluster driving, receives a cluster driving request from the user terminal 10 and transmits cluster driving guide information thereto.

The cluster list management unit 120 may request cluster information and clusters registered in the cluster driving guidance system, and store and manage candidate cluster information waiting for cluster formation. Specifically, all information related to the cluster, such as the driving route of the cluster, the destination, the specifications of the vehicles constituting the cluster, and the number of vehicles constituting the cluster, are managed as a list, and the target cluster can be selected and provided to the user.

The cluster driver management unit 130 manages information of drivers who want to use the service through the cluster driving guidance system, and may manage the personal information, destination, driving history, insurance subscription information, and the like of each driver.

The cluster driving route determination unit 140 determines a target cluster to which the vehicle requesting the cluster will join by using the information obtained through the cluster list management unit 120 and the cluster driver management unit 130 and provides a guide to joining the target cluster. can do.

In addition, the database 150 may be additionally included, and various information such as information necessary for other cluster driving and past driving history for selecting a target cluster can be stored and utilized.

For example, it is possible to analyze information on past cluster driving stored in the database 150 and provide an artificial neural network-based learning service through this.

As described above, the various embodiments described herein may be implemented in a recording medium that can be read by a computer or a similar device using, for example, software, hardware, or a combination thereof.

According to hardware implementation, the embodiments described herein include application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), It may be implemented using at least one of processors, controllers, micro-controllers, microprocessors, and electrical units for performing other functions, in some cases herein. The described embodiments may be implemented by the control module itself.

According to the software implementation, embodiments such as procedures and functions described in the present specification may be implemented as separate software modules. Each of the software modules may perform one or more functions and operations described herein. The software code can be implemented as a software application written in an appropriate programming language. The software code may be stored in a memory module and executed by a control module.

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the technical field to which the present invention belongs can make various modifications, changes, and substitutions within the scope not departing from the essential characteristics of the present invention. will be.

Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are not intended to limit the technical idea of the present invention, but are for description, and the scope of the technical idea of the present invention is not limited by these embodiments and the accompanying drawings. . The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

Claims (20)

In the cluster driving guidance method of the cluster driving guidance server,
Receiving a user's destination;
Determining a target cluster using a driving route of a candidate cluster that can participate according to the destination, a length of a common route according to the user's destination, and characteristics for each section, but determining a new cluster if the candidate cluster does not exist;
Determining a joining position of a user with respect to the determined target cluster or the new cluster; And
Provide route guidance according to the confluence location,
When the target cluster is determined, a speed guide for joining according to a relative speed between the user and the target cluster is provided,
And when the new cluster is determined, providing a departure time guide at an expected starting point of each vehicle in the new cluster. The method of claim 1,
The step of determining the cluster,
The common distance between the driving route of the candidate cluster and the route according to the user's destination, the similarity between the features of the constituent vehicles of the candidate cluster and the features of the user's vehicle, and the past driving history or current cluster of the leader vehicle of the candidate cluster Cluster driving guidance method, characterized in that determining the target cluster using at least one or more of fuel consumption efficiency information according to the driving history of. The method of claim 1,
The new cluster is determined based on whether a route according to a departure point and a destination of at least two users is common. The method of claim 1,
The step of determining the confluence position,
A cluster driving guidance method, characterized in that the joining position is dynamically determined according to the current position of the user or the position of the target cluster for each unit section or unit time. The method of claim 4,
Providing the route guidance,
And providing speed guidance according to a relative speed between the user and the target cluster with respect to the dynamically determined confluence position. In the cluster driving guidance server,
A communication unit that receives a cluster request from a user and transmits cluster driving guide information;
The target cluster is determined using the driving route of the candidate cluster that can participate according to the destination in the cluster request, the length of the common route according to the user's destination, and the characteristics of each section, but if the candidate cluster does not exist, a new cluster is determined A cluster list management unit; And
Provide route guidance by determining the joining position of the user to the determined target cluster or new cluster,
When the target cluster is determined, a speed guide for joining according to a relative speed between the user and the target cluster is provided,
And a cluster driving route determination unit that provides information on a departure time at an expected starting point of each vehicle in the new cluster when the new cluster is determined. The method of claim 6,
The cluster list management unit,
The common distance between the driving route of the candidate cluster and the route according to the user's destination, the similarity between the features of the constituent vehicles of the candidate cluster and the features of the user's vehicle, and the past driving history or current cluster of the leader vehicle of the candidate cluster Cluster driving guidance server, characterized in that determining the target cluster using at least one or more of fuel consumption efficiency information according to the driving history of. The method of claim 6,
The new cluster is a cluster driving guidance server, characterized in that it is determined whether or not a route according to a departure point and a destination of at least two users is common. The method of claim 6,
The cluster travel path determination unit,
A cluster driving guidance server, characterized in that for dynamically determining a joining position according to the current location of the user or the location of the target cluster for each unit section or unit time. The method of claim 9,
The cluster travel path determination unit,
And providing speed guidance according to a relative speed between the user and the target cluster with respect to the dynamically determined confluence position. In the cluster driving guidance method of the user terminal,
Receiving a destination of a user and requesting a cluster driving guide from a server;
Target cluster information determined by using the driving route of the candidate cluster that can participate according to the request, the length of the common route according to the user's destination, and characteristics of each section, or new cluster information determined when the candidate cluster does not exist, and cluster driving Receiving route guidance information according to the joining location of the user for; And
Output guide information according to the received route guide information,
When the target cluster is determined, a speed guide for joining according to a relative speed between the user and the target cluster is provided,
When the new cluster is determined, providing a departure time guide at an expected starting point of each vehicle in the new cluster,
The target cluster is determined by calculating a characteristic value for each evaluation item determined in advance for the candidate cluster and collecting the calculated characteristic values. The method of claim 11,
The new cluster is determined based on whether a route according to a departure point and a destination of at least two users is common. One or more computers and causing the one or more computers to perform the operations of each method of any one of claims 1 to 5 and 11 to 12 when executed by the one or more computers. A program stored on a readable recording medium. delete delete delete delete delete delete delete

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