KR20220135405A - Apparatus and method of selecting means of transportation - Google Patents

Abstract

A transportation means selecting device and a method thereof are disclosed. The transportation means selecting device comprises: a passage environment construction unit that collects traffic data and environmental data related to passage; an individual passage construction unit for determining passage characteristics for each user based on mobile data corresponding to a user; and a control unit for selecting a transportation means of each individual passage for each user in consideration of the traffic data, the environment data, and the passage characteristics, wherein the passage characteristics may include a current location, a movement state, and a movement degree of the user.

Description

Apparatus and method for selecting means of transportation

The present invention relates to an apparatus and method for selecting a means of transportation, and more particularly, to an apparatus and method for selecting a means of transportation that proposes a new algorithm for selecting a means of movement of an individual passer by using mobile data.

There are various methods for guiding a moving route or means of moving to a current destination. Existing methods use a method of analyzing the macro-traffic demand for each traffic zone and guiding a movement route or means of transportation based on this. That is, in selecting a moving route or a moving means, real-time traffic traffic or public transport congestion is mainly considered.

In general, real-time traffic traffic or public transport congestion varies depending on environmental factors such as weather and time, and a preferred means of transportation may vary according to such environmental factors. For example, when the weather conditions are bad, public transportation may be preferred rather than a car as a transportation means, and during commuting time, a transportation means having no temporal variability, such as a subway, may be more preferred among the same public transportation. However, in the case of selecting the current moving route or moving means, environmental factors are not considered.

Furthermore, a preferred moving path or moving means varies according to the user's unique characteristics. For example, a user with a physical disability prefers a means of transportation other than walking even if it is a short distance away, and a user who mainly uses a bus should guide the bus as the most important means of transportation.

Nevertheless, there is currently no method of guiding the ear canal path or means of transportation in consideration of the user's unique characteristics and environmental factors.

Korean Patent Publication No. 10-2014-0140468 (2014.12.09)

The problem to be solved by the present invention is to provide an apparatus and method for selecting a transportation means for proposing a new algorithm for selecting a transportation means of an individual passer by using mobile data.

In addition, the problem to be solved by the present invention is to improve the accuracy of selecting transportation means optimized for users by convergence and utilization of traffic data among the vastly increasing big data and various big data that can act as environmental factors in selecting means It is to provide an apparatus and method for selecting a means of transportation that can be performed.

In accordance with an embodiment of the present invention, an apparatus for selecting a means of transportation includes: a traffic environment construction unit that collects traffic data and environment data related to traffic; And, based on the mobile data corresponding to the user, an individual passage construction unit for determining the travel characteristics for each user; and a control unit for selecting a movement means for each individual passage for each user in consideration of the traffic data, the environment data, and the passage characteristics, wherein the passage characteristics include the user's current location, movement state, and movement degree can do.

In the device for selecting the means of transportation, the means of transportation include a car, a subway, a bus, and a walk, and the controller sets a weight for each of the means of transportation in consideration of the public transportation infrastructure at the current location, The moving means of the individual passage corresponding to the user may be selected by using the enemy swarming technique and taking the moving state, the moving degree, and the weight into consideration.

In the moving means selection device, the control unit may set the weight for each of the moving means differently in response to a peak time period and a non-peak time period.

In the moving means selection device, the moving state includes any one of staying in a predetermined place, walking, moving by vehicle, and moving by public transportation, and the control unit, in consideration of the current position and the moving state, The user may identify the first moving means currently being used, and select the moving means to be the same as the type of the first moving means.

In the transportation means selection device, the control unit selects a parameter affecting the selection of the transportation means in the passage, and controls the passage environment construction unit to collect the environment data corresponding to the parameter. can

A method of selecting a means of transportation according to another embodiment of the present invention includes the steps of: collecting traffic data and environment data related to traffic; and collecting mobile data corresponding to the user; and, based on the mobile data, determining a travel characteristic for each user; and selecting a movement means for each individual passage for each user in consideration of the traffic data, the environment data, and the passage characteristics, wherein the passage characteristics include the current location, movement state, and degree of movement of the user. can do.

In the method of selecting the means of transportation, the means of transportation include a car, a subway, a bus, and a walk, set a weight for each of the means of transportation in consideration of the public transportation infrastructure at the current location, and apply a hierarchical clustering technique and may select the moving means of the individual passage corresponding to the user in consideration of the moving state, the moving degree, and the weight.

In the method of selecting the moving means, the weights for each of the moving means may be set differently in response to a peak time period and a non-peak time period.

In the method for selecting the means of transportation, the movement state includes any one of staying in a predetermined place, walking, moving by vehicle, and moving by public transportation, and the user is currently It is possible to identify the first moving means being used, and select the moving means to be the same as the type of the first moving means.

In the method for selecting the transportation means, it is possible to select a parameter affecting the selection of the transportation means in the passage, and collect the environmental data corresponding to the parameter.

According to an embodiment of the present invention, it is possible to propose a new algorithm for selecting an individual passer's transportation means by utilizing environmental factors and mobile data.

In addition, according to an embodiment of the present invention, transportation data among the vastly increasing big data and various big data that can act as environmental factors in the selection of means are fused and utilized to improve the accuracy of selection of transportation means optimized for users. can do it

Furthermore, according to an embodiment of the present invention, it is possible to easily provide the movement route and movement means of the confirmed person and the contact person without an individual epidemiological investigation based on the route chain created for each user, movement means, or date.

1 is a block diagram showing the configuration of a moving means selection device according to the present invention.
2 is a view for explaining a method of analyzing mobile data by the device for selecting a means of transportation according to the present invention.
3A to 3C are diagrams for explaining an example in which the device for selecting a means of transportation according to the present invention constructs a user's entire passage.
4 is a view showing a moving means selection process according to the present invention.
5 is a diagram illustrating a moving means selection process according to an embodiment of the present invention.
6 is a diagram illustrating a computing device 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 to which the present invention pertains can easily implement them. However, the present invention may be embodied in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

In this specification, duplicate descriptions of the same components will be omitted.

Also, in this specification, when a component is referred to as 'connected' or 'connected' to another component, it may be directly connected or connected to the other component, but other components in the middle It should be understood that there may be On the other hand, in the present specification, when it is mentioned that a certain element is 'directly connected' or 'directly connected' to another element, it should be understood that the other element does not exist in the middle.

In addition, the terms used herein are used only to describe specific embodiments, and are not intended to limit the present invention.

Also in this specification, the singular expression may include the plural expression unless the context clearly dictates otherwise.

Also, in this specification, terms such as 'include' or 'have' are only intended to designate that the features, numbers, steps, operations, components, parts, or combinations thereof described in the specification exist, and one or more It should be understood that the existence or addition of other features, numbers, steps, acts, components, parts, or combinations thereof, is not precluded in advance.

Also in this specification, the term 'and/or' includes a combination of a plurality of listed items or any of a plurality of listed items. In this specification, 'A or B' may include 'A', 'B', or 'both A and B'.

Also, in this specification, detailed descriptions of well-known functions and configurations that may obscure the gist of the present invention will be omitted.

1 is a block diagram showing the configuration of a moving means selection device according to the present invention.

The apparatus 100 for selecting a means of transportation according to the present invention may include a database 110 , a passage environment construction unit 120 , an individual passage construction unit 130 , and a control unit 140 .

The database 110 may store data necessary for various embodiments of the present disclosure.

According to an embodiment, the database 110 reflects the location and movement characteristics and age information of each individual passer analyzed based on the mobile data, the individual passer characteristics DB, and the moving location and moving time information for each individual pass. It may be composed of a movement speed DB for each passage, a weather DB for a passage time zone and a passage area, and a traffic infrastructure DB for a passage time zone and passage area.

The individual passer characteristic DB may store the moving location (ex: base station latitude, longitude) and age group (ex: 20's, 50's, etc.) information of each individual passenger derived from mobile data. Also, it is possible to store information on movement characteristics (eg: mainly by walking or public transportation, moving distance is short, moving to a destination at regular intervals, etc.) or moving state (eg: while walking, staying in a predetermined place).

The movement speed DB for each passage may store the movement speed for each passage generated based on information on the distance between moving locations and the time required for movement.

To this end, the database 110 includes a volatile memory (eg, dynamic RAM (DRAM), static RAM (SRAM), or synchronous dynamic RAM (SDRAM), etc.), non-volatile memory (eg, OTPROM (one)). time programmable ROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash), hard drive, or a solid state drive (SSD)).

According to an embodiment, the database 110 may store various data, programs, or applications for driving and controlling the moving means selection device 100 .

The passage environment construction unit 120 may collect traffic data and environment data related to passage. In this case, the traffic data may include a traffic flow of a road by region, traffic information, congestion, bottleneck section, construction section, and the like. The traffic data may be collected by an external server and received by the transportation means selection device 100 , or may be directly collected by the transportation means selection device 100 . The environmental data may include data on the date, time zone, weather, weather conditions, natural disasters, and the like.

The individual passage construction unit 130 may determine the travel characteristics for each user based on mobile data corresponding to the user.

Here, the travel characteristics may include the user's current location, movement state, movement degree, movement time, age, and the like. In addition, the mobile data is user's movement-related data, and may be collected using an electronic device possessed by the user. For example, the current location, latitude, and longitude may be measured based on GPS data received from the mobile terminal possessed by the user, and whether the user is in a moving state or staying state is measured based on the movement data of the mobile terminal. can be collected.

The controller 140 may select a moving means for each individual passage for each user in consideration of traffic data, environment data, and traffic characteristics. In this case, the means of transportation may include a car, a subway, a bus, and walking.

The control unit 140 may select a moving means for each individual passage by using a means classification algorithm.

Specifically, the control unit 140 sets a weight for each of the transportation means in consideration of the public transportation infrastructure at the current location, uses a hierarchical clustering technique, and considers the movement state, the degree of movement, and the weight of each individual corresponding to the user. You can choose the means of transportation. Here, the moving state may include any one of staying in a predetermined place, walking, moving by vehicle, and moving by public transportation. The movement degree is a movement progress to a destination, and may be displayed as a movement distance from a starting point or a remaining distance to a destination, or may be displayed based on a movement speed. For example, the controller 140 may preferentially select a moving means having a high weight in consideration of the weight for each moving means. In addition, if the distance to the destination is less than a predetermined value, walking may be selected as the highest priority moving means.

The controller 140 may set different weights for each of the moving means in response to the peak time period and the non-peak time period.

The peak time is the time of the day when the vehicle's road occupancy is the highest, and the non-peak time is the remaining time excluding the peak time. For example, during peak hours, public transportation such as buses and trains, and cars, etc. have a high degree of congestion. Therefore, by setting a higher weight for walking in the peak time period, it is possible to guide the walking as a preferential moving means. In addition, peak hours closely coincide with commute times, so it is important for users to arrive on time. Therefore, it is possible to preferentially propose a means of transportation without temporal variability, such as the subway, among the same public transportation.

The controller 140 may determine the first moving means currently being used by the user in consideration of the current location and the moving state, and select the moving means to be the same as the type of the first moving means. For example, if the user is currently moving by bus in consideration of the current location and movement state, a bus to which a route is linked as the same type of transportation means may be selected as the transportation means. Accordingly, the user can continuously use the infrastructure of the currently used mobile means.

The controller 140 may select a parameter affecting the selection of a means of transportation in the passage and control the passage environment construction unit 120 to collect environmental data corresponding to the parameter. For example, during the holiday season or holidays, the car traffic inside the city center decreases and the car traffic on the outer highway increases compared to usual. In addition, traffic traffic increases during commuting hours, and traffic traffic is minimized during late-night hours. When the weather is bad due to heavy snow or heavy rain, public transportation traffic increases more than cars. Therefore, in order to more accurately select a moving path and a moving means, the above environmental factors should be considered.

To this end, the controller 140 may select a parameter affecting the selection of a transportation means based on the currently measured traffic data and environment data, and collect environmental data corresponding to the parameter.

According to an embodiment, the controller 140 may derive a correlation between traffic data, environment data, and traffic characteristics through artificial intelligence learning, and may select a means of transportation by reflecting the correlation. In addition, the control unit 140 may derive a correlation between each of the traffic data, the environment data, and the traffic characteristics and the moving means by artificial intelligence learning, and may select the moving means based on the correlation.

2 is a view for explaining a method of analyzing mobile data by the device for selecting a means of transportation according to the present invention.

As shown in FIG. 2 , the transportation means selection device 100 may collect and analyze the user's mobile data to determine the travel characteristics for each user.

Raw data of mobile data is collected from electronic devices (eg, mobile terminals, tablet PCs, etc.) possessed by the user. Raw data of mobile data is data for analyzing characteristics of individual passages, and may be collected by the individual passage construction unit 130 . For example, the individual passage construction unit 130 may collect information on the residence time in units of one minute, latitude and longitude of the base station, and the age of the user for each ID of the electronic device corresponding to the mobile data. The individual passage construction unit 130 may perform pre-processing on the collected raw data.

In this case, the individual passage construction unit 130 may analyze the contents of the individual passage based on the mobile data for each ID of the mobile data. Referring to FIG. 2 , a movement distance may be calculated from the base station longitude and latitude data 211 , 212 , and 213 of the mobile ID 14133888 on a reference date 20160526 , respectively. The movement time can be calculated from each of the intervals 221 , 222 , and 223 between the sojourn start time and the sojourn end time. In addition, it is possible to determine whether the user is walking or staying in a predetermined place from each of the residence times 231 , 232 , and 233 at a predetermined location. Meanwhile, the methods described with reference to FIG. 2 are only an embodiment of the present invention, and the present invention is not limited thereto. A method of deriving individual travel characteristics from mobile data may be implemented in various ways according to embodiments.

3A to 3C are diagrams for explaining an example in which the device for selecting a means of transportation according to the present invention constructs a user's entire passage.

Specifically, FIG. 3A is a case in which a user's individual passage is planned. According to an embodiment, individual travel for each user may be planned by an agent (plan) construction algorithm. The agent building algorithm is an algorithm technique that generates individual agents based on data, and the optimal path can be searched for through simulation such as, for example, MATSim (Multi-Agent Transport Simulation Toolkit). In this case, the agent building algorithm can create a connection link between the latitude and longitude coordinates and the network node, and search for an optimal path between the source and destination. Referring to FIG. 3A , a first route 310 and a second route 320 are searched, and an optimal route is selected from among them in consideration of traffic traffic, traffic characteristics, and environmental data. Conventionally, the first route 310, which is the shortest route, is generally selected, but in the present invention, the first route 310 or the second route 320 may be selected according to user-specific travel characteristics or environmental data.

3b shows the path chain. The transportation means selection device 100 may be constructed as a route chain (Trip Chain) by integrating the user's individual passages. In this case, a path chain construction algorithm can be used to generate the path chain.

A path chain can be built based on various parameters. Specifically, according to an embodiment, the route chain may be constructed for each user, for each date, for each specific place, or for each means of transportation. In this case, the transportation means selection device 100 can configure a route chain by removing duplicate coordinates of individual passages and separating only data about a predetermined user, date, place, or means of transportation. The route chain 330 shown in FIG. 3B shows all individual routes of users who satisfy a predetermined condition in the country on a predetermined date.

3C shows a path chain 340 created in three-dimensional form. Since the path chain 340 integrates the individual passages of all of a plurality of users or integrates a plurality of individual passages of a specific user, it is displayed in a complex tangled state and is difficult to grasp at a glance. In consideration of this point, the path chain 340 may be generated in a three-dimensional form.

Referring to FIG. 3C , in the path chain 340 , each individual passage is shown on a three-dimensional plane composed of an X-axis (longitude), a Y-axis (latitude), and a Z-axis (time). The location coordinates of the individual passages are set by the X and Y axes, and the movement time or residence time of the individual passages is determined by the Z axis. According to the three-dimensional route chain 340 configured as described above, it is possible to easily grasp the user's individual passage location and route for each time zone. In addition, the route chain 340 may display various data as described above by fusion with various data such as smart card data and credit card data, and may be used for controlling the demand and supply of public transportation and taxis during late night time. .

According to the embodiment, the sections constituting each individual passage may be shown in different forms according to the means of transportation. For example, for individual travel from home to work, a walking section may be indicated by a dotted line, and a section using a car or public transportation may be indicated by a solid line. In this case, it is possible to easily analyze the walking ratio according to the residential location (station area/non-station area) and the type of residence.

4 is a view showing a moving means selection process according to the present invention.

Traffic data and traffic-related environmental data are collected (S401).

The passage environment construction unit 120 of the transportation means selection device 100 may collect traffic data and environment data. Here, the traffic data may include traffic flow of a road by region, traffic information, congestion, bottleneck section, construction section, and the like. The environmental data may include data on the date, time zone, weather, weather conditions, natural disasters, and the like.

Mobile data corresponding to the user is collected (S402).

The individual passage construction unit 130 of the transportation means selection device 100 may collect mobile data corresponding to the user. For example, the individual passage construction unit 130 may collect information on the residence time in units of one minute, latitude and longitude of the base station, and the age of the user for each ID of the electronic device corresponding to the mobile data.

Based on the mobile data, the travel characteristics are determined for each user (S403).

The individual passage construction unit 130 of the means of transportation selection device 100 may determine a passage characteristic for each user based on mobile data corresponding to the user. Here, the travel characteristics may include the user's current location, movement state, movement degree, movement time, age, and the like.

In consideration of traffic data, environment data, and traffic characteristics, a means of transportation for each individual passage is selected for each user (S404).

The control unit 140 of the transportation means selection device 100 may select a transportation means for each individual passage for each user in consideration of traffic data, environment data, and passage characteristics. For example, when the user has a characteristic of mainly using a bus, a means of moving to a destination may be set as a bus.

Specifically, in consideration of the public transportation infrastructure at the current location, a weight for each of the transportation means is set, a hierarchical clustering technique is used, and a movement means of an individual passage corresponding to the user is taken in consideration of the movement state, the degree of movement and the weight. can be selected.

According to an embodiment, it is possible to set different weights for each of the moving means in response to the peak time and the non-peak time.

In addition, in consideration of the current location and the moving state, the user may determine the first moving means currently being used, and select the moving means to be the same as the type of the first moving means.

According to the route finding method provided by the existing application, environmental data or traffic characteristics are not taken into account when proposing a movement route or a movement means. In other words, traffic characteristics change depending on weather phenomena (ex: heavy snow, heavy rain, heatwave), date (ex: vacation season, holidays) or time (ex: commuting time, late night) Nevertheless, a movement route or means of movement is proposed without consideration for this. In addition, we propose a movement route or means of movement in consideration of only traffic traffic, without considering the travel characteristics that vary depending on the user, such as the user's age (ex: elderly, adolescents, seniors) and walking characteristics (ex: movement speed). .

In the present invention, mobile data for each user is collected, travel characteristics that vary depending on the user are analyzed, and environmental data affecting the selection of a means of transportation is taken into consideration to select a means of movement and a route more optimized for the user.

5 is a diagram illustrating a moving means selection process according to an embodiment of the present invention.

Each means of transportation has different characteristics, and a preferred means of transportation or route may vary depending on environmental factors such as time or date. According to an embodiment of the present invention, a weight may be set for each moving means in consideration of a peak time and a non-peak time, and a moving means may be selected based on this.

The weight setting for each transportation means and the average travel speed for each transportation means are reflected (S501).

The moving means selection device 100 sets weights for each moving means. In this case, weights may be set for each transportation means in consideration of traffic characteristics or environmental data. For example, if the walking speed is slow or the age of the user is high, the weight for walking may be set low and the weight for public transportation may be set high.

The average travel speed for each means of transportation is calculated, and this is reflected in the calculation for selecting the means of transportation.

It is determined whether it is a peak time zone and a non-peak time zone in the morning and afternoon (S502).

According to the morning and afternoon time zones, and also according to the peak and non-peak hours, the use rate of means of transportation and the characteristics of traffic traffic vary. For example, during peak hours, the use rate of public transport is high, and traffic traffic is high, so the speed of movement by cars is slow. Therefore, in the present invention, the moving means is selected by reflecting these characteristics.

If it is a peak time period (S503), the first hierarchical clustering technique is used (S504), and a moving means is selected by reflecting the moving speed and weight (S505).

If it is a non-peak time period (S513), the second hierarchical clustering technique is used (S514), and a moving means is selected by reflecting the moving speed and weight (S505).

For example, in the case of selecting a means of transportation, weather information of a travel area is called through information on a movement date and movement departure and arrival times. Also, it retrieves the location information of public transportation stations (ex: subway stations and bus stops) and searches for information on the number of subway stations within a 50m radius of the starting location for each passage, the number of subway lines, and the number of bus stops.

In this case, the independent variable that affects the choice of means of transportation is set as an environmental factor in individual traffic, and environmental data is constructed in consideration of the weather and travel time of the travel area, public transportation infrastructure, etc.

Thereafter, a means of transport for each user is selected in consideration of both individual traffic characteristics and environmental data.

Specifically, after setting the weights for passenger cars, subways, buses, and walking in consideration of the public transportation infrastructure at the moving location, using the hierarchical clustering technique, it is possible to classify the moving means between the moving speed and the weights. have. For example, in the case of automobile travel speed, since there is a large deviation between the morning/afternoon peak and non-peak hours, the data mining-decision tree analysis technique was used to analyze the data mining-decision tree analysis technique for each time period and Seoul passenger car travel speed, Seoul subway average expression speed, and Seoul city bus. It is classified by reflecting the average speed and the average walking speed.

6 is a diagram illustrating a computing device according to an embodiment of the present invention. The computing device TN100 of FIG. 6 may be the transportation means selection device 100 described herein.

In the embodiment of FIG. 6 , the computing device TN100 may include at least one processor TN110 , a transceiver device TN120 , and a memory TN130 . Also, the computing device TN100 may further include a storage device TN140 , an input interface device TN150 , an output interface device TN160 , and the like. Components included in the computing device TN100 may be connected by a bus TN170 to communicate with each other.

The processor TN110 may execute a program command stored in at least one of the memory TN130 and the storage device TN140. The processor TN110 may mean a central processing unit (CPU), a graphics processing unit (GPU), or a dedicated processor on which methods according to an embodiment of the present invention are performed. The processor TN110 may be configured to implement procedures, functions, and methods described in connection with an embodiment of the present invention. The processor TN110 may control each component of the computing device TN100 .

Each of the memory TN130 and the storage device TN140 may store various information related to the operation of the processor TN110 . Each of the memory TN130 and the storage device TN140 may be configured as at least one of a volatile storage medium and a nonvolatile storage medium. For example, the memory TN130 may include at least one of a read only memory (ROM) and a random access memory (RAM).

The transceiver TN120 may transmit or receive a wired signal or a wireless signal. The transceiver TN120 may be connected to a network to perform communication.

On the other hand, the embodiment of the present invention is not implemented only through the apparatus and/or method described so far, and a program for realizing a function corresponding to the configuration of the embodiment of the present invention or a recording medium in which the program is recorded may be implemented. And, such an implementation can be easily implemented by those skilled in the art from the description of the above-described embodiments.

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited thereto, and various modifications and improvements by those skilled in the art using the basic concept of the present invention as defined in the following claims are also present. It belongs to the scope of the invention.

100: transportation means selection device 110: database
120: passage environment construction unit 130: individual passage construction unit
140: control unit

Claims (10)

In the transportation means selection device,
a traffic environment construction unit that collects traffic data and traffic-related environmental data;
an individual passage construction unit that determines travel characteristics for each user based on mobile data corresponding to the user; and
A control unit that selects a moving means of each individual passage for each user in consideration of the traffic data, the environment data, and the passage characteristics;
The traffic characteristics are
The moving means selection device, including the current location and the moving state and the degree of movement of the user. According to claim 1,
The means of transportation includes a passenger car, a subway, a bus, and walking,
The control unit is
In consideration of the public transportation infrastructure at the current location, a weight for each of the transportation means is set, and a hierarchical clustering technique is used and the individual passage corresponding to the user is taken in consideration of the movement state, the degree of movement, and the weight. Selecting the moving means of, a moving means selection device. 3. The method of claim 2,
The control unit is
A moving means selection device for differently setting the weight for each of the moving means in response to a peak time period and a non-peak time period. According to claim 1,
The moving state is
Including any one of staying in a predetermined place, walking, moving by vehicle, and moving by public transportation,
The control unit is
In consideration of the current location and the moving state, the user recognizes the first moving means currently being used, and selects the moving means to be the same as the type of the first moving means. According to claim 1,
The control unit is
Selecting a parameter affecting the selection of the transportation means in the passage, and controlling the passage environment construction unit to collect the environment data corresponding to the parameter, the transportation means selection device. In the method of selecting a means of transportation,
collecting traffic data and environmental data related to traffic;
collecting mobile data corresponding to the user;
determining a travel characteristic for each user based on the mobile data; and
Including the step of selecting a moving means of each individual passage for each user in consideration of the traffic data, the environment data, and the traffic characteristics,
The traffic characteristics are
A method of selecting a moving means, including the user's current location, moving state, and moving degree. 7. The method of claim 6,
The means of transportation includes a passenger car, a subway, a bus, and walking,
In consideration of the public transportation infrastructure at the current location, a weight for each of the transportation means is set, and a hierarchical clustering technique is used and the individual passage corresponding to the user is taken in consideration of the movement state, the degree of movement, and the weight. of selecting the moving means of, a moving means selection method. 8. The method of claim 7,
A method of selecting a moving means for differently setting the weight for each of the moving means in response to a peak time period and a non-peak time period. 7. The method of claim 6,
The moving state is
Including any one of staying in a predetermined place, walking, moving by vehicle, and moving by public transportation,
A method of selecting a moving means for determining the first moving means currently being used by the user in consideration of the current location and the moving state, and selecting the moving means to be the same as the type of the first moving means. 7. The method of claim 6,
selecting a parameter affecting selection of the transportation means in the passage, and collecting the environmental data corresponding to the parameter.

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