JP6587974B2 - Human flow control system and human flow control method - Google Patents

Description

  The present invention relates to a human flow control system and a human flow control method for controlling a human flow in an area by presenting content to a user.

  In order to control the flow of people (people flow) in areas (areas) where many people gather, such as airports, stations, commercial facilities, etc., content for guiding users to specific points in the area is provided. There is a system that presents to a user using a projector or a display device. Conventionally, in such a system, the presented content is fixed, and it has been difficult to guide the user by dynamically changing the content according to the congestion situation or the like. In recent years, a system for controlling a human flow by dynamically controlling a user's action according to a congestion situation has been studied.

  For example, in Patent Document 1, the degree of congestion on the route is detected, and when the detected degree of congestion exceeds a predetermined threshold, interest information indicating the interest of the user on the route is collected, and the degree of congestion and the collected interest information are collected. A system for controlling human flow by providing a service according to the route on the route is disclosed.

  Further, in Patent Document 2, the degree of congestion on a route is detected, and when the detected degree of congestion exceeds a predetermined threshold, depending on the degree of congestion, a terminal installed on the route or a mobile terminal possessed by the user A system for controlling a human flow by selecting a service to be provided and providing the selected service is disclosed.

  Further, Patent Document 3 detects a degree of congestion on a route connecting the first point and the second point, and generates a phenomenon that changes the user's moving speed or willingness to proceed according to the detected degree of congestion. Thus, a system for controlling human flow is disclosed.

Japanese Unexamined Patent Publication No. 2016-42275 JP, 2016-42276, A Japanese Unexamined Patent Publication No. 2016-42277

  In the systems disclosed in Patent Documents 1 to 3, the actual congestion degree on the route is detected, and the user is acted on according to the detected congestion degree (providing services, changing the moving speed or traveling speed of the user) The occurrence of phenomena) and the flow of people is controlled. That is, in the systems disclosed in Patent Documents 1 to 3, since the flow of people is controlled based on the current degree of congestion, it is difficult to prevent the occurrence of congestion itself.

  An object of the present invention, which has been made in view of the above problems, is to provide a human flow control system and a human flow control method capable of preventing the occurrence of congestion and controlling the human flow more effectively. .

  In order to solve the above problems, a human flow control system according to the present invention is a human flow control system that controls human flow in a predetermined area by presenting content to a user, and presents the content to the user. An estimation unit that estimates the degree of congestion after a predetermined time in the area, and a control unit that controls content to be presented according to the estimation result of the degree of congestion by the estimation unit.

  Moreover, in order to solve the said subject, the human flow control system which concerns on this invention is a human flow control system which controls the human flow in a predetermined area by the presentation of the content to a user, Comprising: The said content is shown to the said user. A content presentation unit, an estimation unit that estimates an attribute of a user in the area, and estimates a degree of congestion in the area after a predetermined time according to an estimation result of the attribute of the user; a degree of congestion by the estimation unit And a control unit for controlling the content to be presented according to the estimation result.

  In order to solve the above-described problem, a human flow control method according to the present invention is a human flow control method in a human flow control system that controls human flow in a predetermined area by presenting content to a user, wherein the content presentation unit The step of presenting the content to the user, the step of estimating the congestion level after a predetermined time in the area, and the content that the control unit presents according to the estimation result of the congestion level by the estimation unit Controlling.

  In order to solve the above-described problem, a human flow control method according to the present invention is a human flow control method in a human flow control system that controls human flow in a predetermined area by presenting content to a user, wherein the content presentation unit A step of presenting the content to the user; and an estimation unit estimates an attribute of the user in the area, and estimates a degree of congestion in the area after a predetermined time according to an estimation result of the user attribute. And a step of controlling the content to be presented in accordance with the estimation result of the degree of congestion by the estimation unit.

  According to the human flow control system and the human flow control method according to the present invention, the occurrence of congestion can be prevented and more effective human flow control can be achieved.

It is a figure which shows the principal part structure of the human flow control system which concerns on one Embodiment of this invention. It is a flowchart which shows an example of operation | movement of the human flow control system shown in FIG. It is a flowchart which shows another example of operation | movement of the human flow control system shown in FIG. It is a flowchart which shows another example of operation | movement of the human flow control system shown in FIG.

  Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. It should be noted that the present invention is not limited to the following embodiments, and various modifications can be made without departing from the spirit of the present invention.

  FIG. 1 is a diagram showing a main configuration of a human flow control system 10 according to an embodiment of the present invention. The human flow control system 10 according to the present embodiment controls the human flow in an area by presenting content for performing action guidance (such as user guidance) to the user using a projector or a display device. To do. The area for presenting the content and the area for controlling the human flow may be the same or different. The case where the area for presenting the content is the same as the area for controlling the human flow may include, for example, controlling the human flow in the airport by presenting the content in the airport. In addition, when the area for presenting the content is different from the area for controlling the human flow, for example, the area for presenting the content is in an airport, and the area for controlling the human flow by presenting the content is a railroad that enters the airport, It may be a station such as a monorail.

  A human flow control system 10 shown in FIG. 1 includes a content data storage unit 11, a projector 12 (content presentation unit), a sensor 13, an estimation unit 14, and a control unit 15.

  The content data storage unit 11 stores content data indicating content. The content format is not limited to a specific format. The content includes not only jpg and gif format images and still images, but also mp4 format moving images, HTML format content, JavaScript (registered trademark) and libraries (such as canvas in HTML5). Various formats are included.

  The projector 12 presents (projects) the content on the presentation surface 1 (projection surface) under the control of the control unit 15. In the present embodiment, description will be made using an example in which content is projected by the projector 12, but for example, the content may be displayed on a display surface of a display device.

  The sensors 13 are provided at a plurality of points in a predetermined area where the user flow control system 10 guides the user to the user, detect the congestion situation (such as the number of people, the flow of people, etc.) at each point, and detect the detection results. It outputs to the estimation part 14. The sensor 13 is constituted by a camera, for example. In this case, it is possible to detect a congestion situation in the shooting range of the camera from the shot image of the camera. Moreover, the sensor 13 is comprised by the communication apparatus (communication equipment) which communicates with the communication apparatus which a user carries, for example. In this case, the movement of the user can be detected from the communication log of the communication equipment with the user's communication device. For example, when the unique address of the user's communication device is detected by the second communication facility from the first communication facility, the user can connect the second communication facility from the vicinity of the first communication facility. It can be estimated that it has moved to the vicinity. That is, the communication facility provided at a certain point is the first communication facility, and the communication facility provided at another point is the second communication facility, so that the user can change the second communication facility from the vicinity of the first communication facility. It can be estimated that it moved to the vicinity of the communication equipment.

  The estimation unit 14 estimates the degree of congestion after a predetermined time (for example, after several minutes) at a predetermined point in the area based on the detection result of the sensor 13, and outputs the estimation result to the control unit 15. The estimation of the degree of congestion can be performed using, for example, a human flow simulation based on the results of behavior observation of a plurality of users. In airports and the like, the degree of congestion can also be estimated based on the flight schedule. For example, it is possible to estimate that the user concentrates in the vicinity of the entry / exit gates, etc., during the time when arrivals and departures are concentrated.

  In addition, the estimation unit 14 estimates user attributes (race, language, etc.) in the area, and after a predetermined time at each point in the area (for example, several minutes later) according to the user attribute estimation result ) May be estimated. The user's attribute can be estimated from, for example, the sensor 13 configured by a camera and a captured image of the camera. For example, when content corresponding to a specific language is presented, if it is detected from a captured image of a camera that the user has reacted to the content, the user corresponds to the presented content. It can be assumed that it belongs to an attribute.

  The control unit 15 determines the content to be presented to the projector 12 based on the estimation result of the degree of congestion at each point in the area output from the estimation unit 14 (determines a guidance destination or the like to be guided by the content), and determines The content is projected on the projector 12. The control unit 15 includes a content control unit 151 and a projector management unit 152.

  The content control unit 151 determines content to be presented to the projector 12 based on the estimation result of the degree of congestion at each point in the area by the estimation unit 14.

  The projector management unit 152 causes the projector 12 to project the content determined by the content control unit 151.

  Next, the operation of the human flow control system 10 according to the present embodiment will be described. In the following, a plurality of points A, B, C,..., N are set in advance in a predetermined area, and the degree of congestion at each point is estimated. It is assumed that the user is guiding (the user is guided to the point A).

  FIG. 2 is a flowchart showing an example of the operation of the human flow control system 10.

  The estimation unit 14 estimates the degree of congestion at each of the points A, B, C,..., N after a predetermined time (ΔT minutes) from the current time based on the detection result of the sensor 13 (step S11). As described above, the degree of congestion at each point can be estimated by, for example, a human flow simulation. Moreover, the estimation part 14 may estimate the congestion degree of each point by machine learning.

  The control unit 15 determines to present the content that guides the point where the estimated congestion level (estimated congestion level) is the lowest among the plurality of points where the congestion level is estimated, and causes the projector 12 to project the content ( Step S12).

  The human flow control system 10 repeats the above process at an arbitrary timing. In this way, at each time point, the future congestion situation is estimated for a predetermined time, and according to the estimation result, a point with the smallest estimated congestion level is guided to the user, so that the occurrence of congestion can be prevented in advance. Effective human flow control can be achieved.

  In order to prevent the user from falling due to congestion, as described with reference to FIG. 2, it is sufficient to guide the user to a point where the degree of congestion is the smallest, but considering the comfort in the area, It is necessary to consider the balance of congestion in the entire area. In other words, it is necessary to perform guidance destination determination processing in consideration of the bias of the congestion level at each point in the area and the relative evaluation with the congestion level at other points. The operation of the human flow control system 10 that performs such processing will be described with reference to FIGS.

  FIG. 3 is a flowchart showing another example of the operation of the human flow control system 10. In FIG. 3, the same processes as those in FIG.

  When the degree of congestion after ΔT minutes at each of the points A, B, C,..., N is estimated, the control unit 15 determines the degree of congestion after the estimated ΔT minutes at the currently guided point A. It is determined whether or not the increase amount (estimated congestion increase amount) is larger than a predetermined threshold (step S21).

  When it is determined that the estimated congestion increase amount at the point A is equal to or less than the threshold (step S21: No), the control unit 15 determines that the congestion degree at the point A does not increase greatly, and continues to send the point A to the user. invite. That is, the control unit 15 causes the projector 12 to continuously project the content for guiding the point A to the user. Thereafter, the human flow control system 10 returns to the process of step S11.

  When it is determined that the estimated congestion increase amount at the point A is larger than the threshold (step S21: Yes), the control unit 15 is estimated that the congestion degree at the point A is greatly increased. Judge that there is. Then, the control unit 15 determines to present the content that guides the point where the estimated congestion increase amount is the smallest among the plurality of points where the degree of congestion is estimated, and causes the projector 12 to project the content (step S22).

  FIG. 4 is a flowchart showing another example of the operation of the human flow control system 10. 4, processes similar to those in FIG. 2 are denoted by the same reference numerals, and description thereof is omitted.

  When the estimation unit 14 estimates the degree of congestion after ΔT minutes at each of the points A, B, C,..., N, the estimation unit 14 determines that the estimated congestion degree at the currently guided point A is a predetermined threshold value. It is determined whether it is larger (step S31).

  When it is determined that the estimated congestion level of the point A is equal to or less than the threshold (step S31: No), the control unit 15 determines that the congestion level of the point A does not increase greatly and continues to guide the point A. That is, the control unit 15 causes the projector 12 to continuously project the content that guides the point A. Thereafter, the human flow control system 10 returns to the process of step S11.

  If it is determined that the estimated congestion level at the point A is larger than the threshold (step S31: Yes), the control unit 15 is estimated to greatly increase the congestion level at the point A, and thus the guidance destination needs to be changed. Is determined. Then, the control unit 15 determines to present the content that guides the point where the estimated congestion level is the lowest among the plurality of points where the congestion level is estimated, and causes the projector 12 to project the content (step S32).

  The human flow control system 10 repeats the process described with reference to FIGS. 3 and 4 at an arbitrary timing. In this way, if it is estimated that the degree of congestion at the current guidance point will increase greatly, the user will be directed to another point (the point where the estimated increase in congestion or the estimated degree of congestion is the smallest). It is possible to prevent the user from concentrating on the spot. Therefore, it is possible to maintain the balance of the congestion degree of the entire area and to control the human flow more effectively.

  In FIGS. 2 to 4, when the guidance destination is changed, the example in which the estimated congestion degree or the estimated increase in congestion is guided to the smallest point has been described. However, the present invention is not limited to this, and a specific point is selected. If the concentration of the user can be prevented, a point other than the point where the estimated congestion degree or the estimated increase in congestion is the smallest may be guided. Moreover, although demonstrated using the example which guides the point which guides a user by presentation of content in FIGS. 2-4, it is not restricted to this, For example, when guiding a user to a certain point When the congestion at the point is estimated in the future, the content indicating that the point is congested or the congestion is expected may be presented.

  Further, in the above-described embodiment, the description has been made using the example in which the content to be presented is controlled based on the estimation result of the congestion degree by the estimation unit 14, but the present invention is not limited to this, and the attribute of the user by the estimation unit 14 The degree of congestion may be estimated from the estimation result, and the content to be presented may be controlled based on the estimation result of the degree of congestion.

  For example, at the airport, when it is estimated that a large number of users of a specific nationality have come to the entrance of the airport as a result of the user attribute estimation by the estimation unit 14, the user of the specific nationality is on a flight to the specific country. The possibility of getting on is considered high. In other words, a user of a specific nationality is likely to go to a point where there is a check-in counter for a flight to that specific country and the departure port of that flight, and it is estimated that the point is likely to be crowded. it can. Based on such estimation, the control unit 15 provides the projector 12 with content that is distributed and guided to the check-in counter for flights to the specific country and the departure ports of the flights for users of the specific nationality. To project. In this way, it is possible to estimate the possibility of congestion in the future from the result of user attribute estimation. Based on such estimation, it is possible to prevent the occurrence of congestion in advance and more effective human flow. Can be controlled.

  Note that the accuracy of user attribute estimation can be enhanced by various methods. For example, when user behavior is detected and it is determined that the user has responded to the content corresponding to the specific attribute (reacts according to the content), the accuracy of estimation that the user belongs to the specific attribute is increased. Also good. Furthermore, when the user's behavior is detected and gaze detection is performed, and it is determined that the user has reacted to the content (behaved according to the content) after viewing the content, the accuracy of the estimation that the user belongs to a specific attribute May be raised more. Note that the behavior detection and the line-of-sight detection described above can be performed based on, for example, a photographed image of a camera constituting the sensor 13.

  For example, when a plurality of contents corresponding to the same attribute and different contents (for example, a plurality of contents in which messages having different contents are written in the same language) are presented, and the user reacts to each of the plurality of contents The accuracy of estimation of belonging to the attribute corresponding to the content presented by the user may be increased. Such a plurality of contents may be presented at the same place or at different places.

  For example, at an airport, it is estimated that there are more Chinese people at check-in counters for Chinese flights than at check-in counters for flights to other countries. When a user who comes from such an area reacts by seeing content corresponding to Chinese, the nationality of the user is likely to be Chinese.

  Therefore, when a user who comes from an area where it is estimated that users belonging to a specific attribute exist in a concentrated manner reacts to content corresponding to the specific attribute, the accuracy of estimation that the user belongs to the specific attribute is set. The accuracy may be higher than the accuracy for users coming from other areas.

  Further, the accuracy of estimation may be changed according to the detection technique used for detecting the user's reaction. For example, when the accuracy of estimation is higher in the method using image analysis than in the method using communication logs, the accuracy given to the accuracy of estimation based on image analysis may be increased.

  In addition, you may consider a user's viewing angle for the detection of whether the user responded to the content. For example, when content that prompts a certain action is presented, when the content presentation surface 1 exists within the viewing angle of the user and the user performs a behavior prompted by the content, the user reacts to the content. May be determined. In this way, it is possible to estimate the user attribute more accurately.

  Further, the content to be presented may be controlled using the estimation result of the user attribute, and the content directed to the user belonging to the specific attribute may be presented. For example, when it is detected that there is a user who uses a wheelchair, when it is detected that there is a user who presents content that guides a route without a step or is supposed to go to a specific boarding gate Alternatively, the content for guiding to the specific boarding gate may be presented. Note that detection of a user belonging to a specific attribute as described above can be performed based on, for example, a photographed image of a camera that constitutes the sensor 13.

  Thus, according to the present embodiment, the human flow control system 10 includes the projector 12 as a content presentation unit that presents content to the user, the estimation unit 14 that estimates the degree of congestion after a predetermined time in a predetermined area, and the estimation. And a control unit 15 that controls the content presented by the projector 12 in accordance with the estimation result of the congestion degree by the unit 14.

  Also, according to the present embodiment, the human flow control system 10 estimates the projector 12 as a content presentation unit that presents content to the user and the user attribute in a predetermined area, and responds to the estimation result of the user attribute. The estimation unit 14 that estimates the degree of congestion in the area after a predetermined time, and the control unit 15 that controls the content presented by the projector 12 according to the estimation result of the degree of congestion by the estimation unit 14.

  Estimate the degree of congestion after a predetermined time, not the current degree of congestion in a given area, and control the content to be presented according to the estimation result, thus preventing the occurrence of congestion and more effective human flow. Control can be achieved.

  Although the present invention has been described based on the drawings and embodiments, it should be noted that those skilled in the art can easily make various variations or modifications based on the present disclosure. Therefore, it should be noted that these variations or modifications are included in the scope of the present invention.

DESCRIPTION OF SYMBOLS 10 Person flow control system 11 Content data storage part 12 Projector 13 Sensor 14 Estimation part 15 Control part 151 Content control part 152 Projector management part

Claims (2)

A human flow control system that controls human flow in a predetermined area by presenting content to a user,
A content presentation unit for presenting the content to the user;
Estimating an attribute of a user in the area, and estimating a degree of congestion in the area after a predetermined time according to an estimation result of the attribute of the user;
A control unit that controls the content to be presented according to the estimation result of the congestion degree by the estimation unit;
Equipped with a,
The estimation unit is configured such that when a user who comes from an area where it is estimated that users belonging to a specific attribute exist in a concentrated manner reacts to content corresponding to the specific attribute, the user belongs to the specific attribute. people flow control system according to claim resulting in higher accuracy of the estimate. A human flow control method in a human flow control system that controls human flow in a predetermined area by presenting content to a user,
A content presentation unit presenting the content to the user;
An estimating unit estimating an attribute of a user in the area, and estimating a degree of congestion in the area after a predetermined time according to an estimation result of the user attribute;
Control unit, and controlling the content to be presented in accordance with the congestion degree of the estimated result by the estimation unit, only including,
When a user who comes from an area where it is estimated that users belonging to a specific attribute exist in a concentrated manner reacts to content corresponding to the specific attribute, the accuracy of the estimation that the user belongs to the specific attribute is increased. Human flow control method.

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