JP7340465B2 - presentation device - Google Patents

Description

The present disclosure relates to a presentation device.

In recent years, off-peak commuting, in which commuting times are shifted from peak hours, has been promoted in order to alleviate congestion on public transportation. Each transportation system provides incentives such as points to users who commute off-peak. By the way, there are cases where a plurality of travel routes or means of travel can be used. For example, instead of using crowded trains, using other means of transportation such as buses, taxis, and bicycles can be expected to contribute to alleviating congestion.

Patent Document 1 discloses that upon receiving a search request from a user, a plurality of routes between the departure area and the destination area are calculated, and the route according to the user's preference is presented to the user along with benefits. A system is described.

International Publication No. 2013/171780

In the system described in Patent Document 1, for example, a fare discount is presented as a benefit to a user who places importance on fares. It is thought that by presenting incentives according to the user's preferences, the possibility that the user will adopt the presented route increases. However, among the users who place importance on the fare, there are users who place importance not only on the fare but also on the travel time, and there are also users who think that the cheaper the fare, the better.

The present disclosure describes a presentation device that can present incentives that are more tailored to a user's preferences, along with routes and means of transportation.

A presentation device according to one aspect of the present disclosure is a device that presents a travel pattern indicating a route and means of transportation that a user can use to reach a destination. This presentation device includes an extraction unit that extracts a plurality of movement patterns based on traffic information from the user's current location to the destination, and an extraction unit that extracts a plurality of movement patterns based on a plurality of preference degrees indicating the user's preferences. The vehicle includes a calculation unit that calculates an incentive to be added, and an output unit that outputs presentation information including a plurality of movement patterns and incentives corresponding to each of the plurality of movement patterns.

This presentation device extracts multiple travel patterns that the user can use to reach a destination, and calculates incentives to be added to each of the multiple travel patterns based on the user's multiple preferences. , presentation information including movement patterns and incentives is output. As mentioned above, incentives are calculated based on multiple preference degrees, so it is possible to calculate incentives that are more suited to the user's preferences than when incentives are calculated based on a single preference degree. It becomes possible.

According to the present disclosure, incentives that are more suited to the user's preferences can be presented together with routes and means of transportation.

FIG. 1 is a schematic configuration diagram of a presentation system including a presentation device according to an embodiment. FIG. 2 is a block diagram showing the functional configuration of the presentation device shown in FIG. 1. FIG. 3(a) is a diagram showing an example of position information. FIG. 3B is a diagram showing an example of payment information. FIG. 4 is a diagram showing an example of traffic information. FIG. 5 is a diagram showing an example of profile information. FIG. 6 is a flowchart showing a series of processes of the presentation method performed by the presentation device shown in FIG. FIG. 7 is a diagram showing an example of a screen displayed on the terminal device shown in FIG. FIG. 8(a) is a diagram showing another example of a screen displayed on the terminal device shown in FIG. FIG. 8B is a diagram showing yet another example of a screen displayed on the terminal device shown in FIG. FIG. 9 is a diagram showing the hardware configuration of the presentation device shown in FIG. 1.

Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In addition, in the description of the drawings, the same elements are denoted by the same reference numerals, and redundant description will be omitted.

FIG. 1 is a schematic configuration diagram of a presentation system including a presentation device according to an embodiment. A presentation system 1 shown in FIG. 1 is a system for presenting movement patterns to a user. A travel pattern indicates the routes and means of transportation that a user can use to reach a destination. The means of transportation is a means of transportation available to the user. Examples of transportation means include trains, taxis, buses, bicycles, and walking. Trains may include regular trains, express trains, and the like.

The presentation system 1 includes one or more terminal devices 10, a server device 20, and a presentation device 30. One or more terminal devices 10, server device 20, and presentation device 30 are configured to be able to communicate with each other via network NW. The network NW may be configured either wired or wireless. Examples of the network NW include a mobile communication network, the Internet, and a WAN (Wide Area Network). Although the following description focuses on one terminal device 10, the same applies to other terminal devices 10.

The terminal device 10 is a device used by a user and can be carried by the user. Examples of the terminal device 10 include mobile terminals including smartphones and tablet terminals. The terminal device 10 acquires location information (latitude and longitude) of the terminal device 10 using GPS (Global Positioning System) or the like. The terminal device 10 may obtain information on the installation location of a master station of a connected wireless network as location information. Examples of the installation location of the master station include a base station of a mobile network, a Wi-Fi access point, and the like. The terminal device 10 may acquire location information of a terminal existing in the vicinity of the terminal device 10 as the location information of the terminal device 10. Examples of such terminals include Bluetooth (registered trademark) beacon terminals and the like. Details of the position information will be described later. The terminal device 10 periodically transmits location information to the presentation device 30.

The terminal device 10 generates payment information regarding the payment made by the user using the terminal device 10 . For example, when a user purchases a product using a payment application installed on the terminal device 10, the terminal device 10 generates payment information. Details of the payment information will be described later. For example, the terminal device 10 transmits payment information to the presentation device 30 every time payment information is generated.

The server device 20 is a device that provides traffic information of transportation facilities. Examples of transportation include railways and roads. Details of the traffic information will be described later. The server device 20 transmits traffic information to the presentation device 30.

The presentation device 30 is a device that presents movement patterns to the user. An example of the presentation device 30 is an information processing device such as a server device.

The functional configuration of the presentation device 30 will be described with reference to FIG. 2. FIG. 2 is a block diagram showing the functional configuration of the presentation device shown in FIG. 1. As shown in FIG. 2, the presentation device 30 functionally includes an acquisition section 31, a storage section 32, an acquisition section 33, a storage section 34, a generation section 35, a storage section 36, and an estimation section. 37, an extraction section 38, a calculation section 39, and an output section 40. In the explanation of the presentation method described later, the functions (operations) of each functional section will be explained in detail, so the functions of each functional section will be briefly explained here.

The acquisition unit 31 is a functional unit that acquires behavior information regarding user behavior. Examples of behavior information include location information and payment information. In this embodiment, the acquisition unit 31 acquires location information and payment information from each terminal device 10, and uses the information as behavior information of the user of the terminal device 10. The acquisition unit 31 outputs the behavior information to the storage unit 32. The storage unit 32 is a functional unit that stores behavior information. The storage unit 32 stores the behavior information received from the acquisition unit 31. The storage unit 32 functions as a database that stores behavior information.

The position information is information indicating the position of each terminal device 10. As shown in (a) of FIG. 3, the location information includes a terminal ID (identifier) that can uniquely identify the terminal device 10, the time (time stamp) at which the location information was acquired, latitude, and longitude. ,including. The storage unit 32 stores a plurality of pieces of position information of each terminal device 10 as a position information history (log).

The payment information is information regarding payments made using each terminal device 10. As shown in FIG. 3B, the payment information includes the terminal ID, the time when the payment was made, the place where the payment was made, the product name, and the amount. The storage unit 32 stores a plurality of pieces of payment information for each terminal device 10 as a history of payment information.

The acquisition unit 33 is a functional unit that acquires traffic information. The acquisition unit 33 acquires traffic information from the server device 20. The acquisition unit 33 outputs traffic information to the storage unit 34. The storage unit 34 is a functional unit that stores traffic information. The storage unit 34 stores the traffic information received from the acquisition unit 33. The storage unit 34 functions as a database that stores traffic information.

As shown in FIG. 4, the traffic information includes transportation information, status information, delay information, congestion degree, and reference congestion degree. Transportation information is information indicating a transportation facility. The status information is information indicating the status of the transportation facility. For example, if the transportation system is normal, the status information indicates normality. If the train is experiencing delays, the status information will indicate the delays. If there is a traffic jam on the road, the status information indicates the traffic jam. When a delay occurs in a railway, etc., the delay information indicates the time delayed from the normal operating time (traffic flow).

The degree of congestion is information (value) indicating how crowded the transportation system is. The degree of congestion indicates, for example, the ratio of the number of passengers to the capacity. The standard congestion degree is an appropriate congestion degree for a transportation facility, and is set in advance for each transportation facility. The traffic information further includes information such as timetables and fare tables used for route searches. Traffic information is updated when there are changes in transportation status, delay times, and congestion levels.

The generation unit 35 is a functional unit that generates profile information for each user. The profile information includes a plurality of preference degrees indicating the user's preferences. The preference degree indicates that the larger the value, the higher the user's preference. Examples of preferences include time saving preference, health preference, convenience preference, and saving preference. The generation unit 35 generates profile information including a plurality of preference degrees based on the behavior information. The generation unit 35 outputs the profile information to the storage unit 36.

The storage unit 36 is a functional unit that stores profile information of each user. The storage unit 36 stores the profile information received from the generation unit 35. The storage unit 36 functions as a database that stores profile information. As shown in FIG. 5, the profile information includes a terminal ID and each preference level. In the example shown in FIG. 5, the profile information includes a time saving preference, a health preference, a convenience preference, and a saving preference as preference degrees.

The estimation unit 37 is a functional unit that estimates the destination to which the user is heading. The estimation unit 37 estimates the destination based on the behavior information. The estimation unit 37 outputs destination information indicating the estimated destination to the extraction unit 38.

The extraction unit 38 is a functional unit that extracts a plurality of movement patterns from the user's current location to the destination based on traffic information and destination information. The extraction unit 38 extracts a plurality of movement patterns based on, for example, traffic information from the user's current location to the destination. The extraction unit 38 outputs pattern information indicating a plurality of movement patterns to the calculation unit 39.

The calculation unit 39 is a functional unit that calculates incentives to be added to each of a plurality of movement patterns. Examples of incentives include cash, points, and coupons. The calculation unit 39 calculates incentives based on a plurality of preference degrees indicating user preferences. More specifically, the calculation unit 39 obtains the congestion degree for each means of transportation included in the plurality of movement patterns, and calculates the incentive based on the plurality of preference degrees and the congestion degree. The calculation unit 39 outputs information indicating the combination of the movement pattern and the incentive to the output unit 40.

The output unit 40 is a functional unit that outputs presentation information. The presentation information includes a plurality of movement patterns and incentives corresponding to each movement pattern. The output unit 40 outputs, for example, presentation information that presents a plurality of movement patterns in descending order of priority.

Next, a method for calculating preference will be explained. The generation unit 35 extracts behavior information including the terminal ID of the terminal device 10 from the behavior information stored in the storage unit 32 as behavior information of the user of the terminal device 10 . The generation unit 35 then calculates each preference level of the user of the terminal device 10 based on the extracted behavior information. In this embodiment, the time saving preference level P _st , the health preference level P _he , the convenience preference level P _us , and the saving preference level P _sa are used as the preference levels in this embodiment. An example of a method for calculating each degree of preference will be described below.

<Time saving preference>
In the section XY between point X and point Y, there are m (m is an integer of 2 or more) movement patterns M ₁ ^XY to M _m ^XY . The generation unit 35 calculates the total number of movements ^CXY in the section XY from the behavior information. ^The generation unit 35 generates ^{a movement pattern M in which the movement time T k XY} _{when using} ^the movement _pattern M k Find the number ^of times _c ^XY is used. The generation ^unit 35 calculates ^the total number ^C Calculate the sum c ^all of ^all and the number of times c ^XY .

Then, the generation unit 35 calculates the time saving preference degree P _st by dividing the total sum C ^all by the total sum C ^all , as shown in equation (3). In other words, the higher the frequency of using a travel pattern with a travel time shorter than the threshold value, the higher the time saving preference P _st becomes.

<Health preference level>
The generation unit 35 calculates the frequency p _fit of staying at a fitness club from the behavior information. The frequency p _fit is, for example, the ratio of the number of days a person attends a fitness club in one week. The generation unit 35 determines that the user has stayed at the fitness club, for example, when the location information indicates the location of the fitness club for a predetermined period of time or more. Then, the generation unit 35 calculates the basic preference level P _base from the frequency p _fit . The relationship between the frequency p _fit and the preference level P _base is set in advance. For example, if the frequency p _fit indicates 2 days/week, the preference level P _base is 0.4.

The generation unit 35 calculates the frequency of movement using a bicycle p _cy from the behavior information. As the travel frequency p _cy , for example, the proportion of the number of days in one year in which a bicycle is used, or the proportion of the time in which a bicycle is used in the total travel time is used. Note that, for example, when the payment information indicates that the user used a cycle share service, the generation unit 35 determines that the user used a bicycle. The generation unit 35 determines that the user has used a bicycle when the movement speed of the position information is equal to or higher than a predetermined speed and the starting point and arrival point of the movement are home, a bicycle parking lot, a cycle port of a cycle share service, etc. You may judge.

Then, the generation unit 35 calculates the weighted preference degree P _weight from the movement frequency p _cy . For example, the generation unit 35 calculates the weighted preference degree P _weight by multiplying the movement frequency p _cy by a weighting coefficient. Then, the generation unit 35 calculates the health preference level P _he by adding the weighted preference level P _weight to the preference level P _base , as shown in equation (4). In other words, the higher the frequency of going to a fitness club and the higher the frequency of using a bicycle, the higher the health preference level P _he becomes.

<Convenience preference>
The generation unit 35 calculates the total number of movement histories C _paid at the timing when the paid express train can be used from the behavior information. Movement at a timing when a paid limited express train can be used means a movement in which a paid limited express train is in operation during the section and time of use when the user uses a train. The generation unit 35 determines, based on the traffic information, whether the user was able to use a paid express train for traveling by train. For example, the generation unit 35 determines whether or not a paid limited express could be used based on whether the paid limited express is in operation based on the operation timetable and whether the status information indicates suspension of service. For example, when certain location information indicates the location of a station and a timestamp included in this location information indicates near the time when the paid limited express departs from the station, the generation unit 35 determines whether the paid limited express is to be used. Determine that it has been completed.

The generation unit 35 calculates the number of times the paid limited express was actually used _{c_paid} out of the travel history at the timing when the paid limited express could be used. For example, the generation unit 35 generates information indicating that the position information after the position information indicating the position of the departure station indicates the position of another station, and the timestamp included in this position information indicates that the paid express will arrive at the station. If the time is near, it is determined that the user has used a paid express train. Then, the generation unit 35 calculates the convenience preference degree P _us by dividing the number of times c _paid by the total number C _paid , as shown in equation (5). In other words, the higher the frequency of using paid express trains, the higher the convenience preference P _us becomes.

<Saving preference>
^The _generation unit ³⁵ generates an _order i (i-th , and divide the order i by the total number m of movement patterns. Similarly, the generation unit 35 specifies the order i for all sections in which two or more movement patterns exist, and calculates i/m. Then, the generation unit 35 calculates the average value of i/m as the saving preference degree P _sa . In other words, the saving preference P _sa of a user who selects a travel pattern with low travel costs increases.

Next, a presentation method performed by the presentation device 30 will be described with reference to FIGS. 6 and 7. FIG. 6 is a flowchart showing a series of processes of the presentation method performed by the presentation device shown in FIG. FIG. 7 is a diagram showing an example of a screen displayed on the terminal device shown in FIG. 1. The series of processes shown in FIG. 6 is started, for example, when the presentation device 30 receives a movement pattern presentation request from an application running in the background on the user's terminal device 10.

As shown in FIG. 6, first, the acquisition unit 31 acquires user behavior information from the terminal device 10 (step S01). The acquisition unit 31 then outputs the behavior information to the storage unit 32 and causes the storage unit 32 to store it. Subsequently, the estimation unit 37 determines whether the user is moving based on the behavior information stored in the storage unit 32 (step S02). For example, the estimation unit 37 extracts behavior information including the terminal ID of the terminal device 10 from the behavior information stored in the storage unit 32 as the behavior information of the user of the terminal device 10 . Then, the estimation unit 37 determines that the user is moving when the user's position has changed by a certain distance or more based on the history of the position information included in the extracted behavior information.

When the estimation unit 37 determines that the user is not moving (step S02; NO), the acquisition unit 31 continues to acquire behavior information from the terminal device 10 (step S01). On the other hand, when determining that the user is moving (step S02; YES), the estimation unit 37 estimates the destination to which the user is heading. For example, the estimation unit 37 extracts the user's regular behavior pattern from the history of the extracted behavior information. An example of a regular behavior pattern is a behavior pattern in which a user leaves his home at a certain time and heads to his place of work (workplace) using a certain route and means of transportation.

Then, the estimation unit 37 determines whether or not the history of the behavior information from a time a predetermined time before the current time to the current time among the user's behavior information matches or is similar to a regular behavior pattern. do. For example, the estimation unit 37 calculates the degree of similarity between the history of the above-mentioned behavior information and the behavior pattern, and if the degree of similarity is greater than or equal to a predetermined threshold, the history of the above-mentioned behavior information matches or is similar to the behavior pattern. It is determined that the Since the calculation of similarity is well known, the explanation thereof will be omitted. The estimation unit 37 may estimate the destination using a machine learning model. The machine learning model is trained in advance using, for example, behavior information. The estimation unit 37 then outputs destination information indicating the estimated destination to the extraction unit 38.

Subsequently, upon receiving the destination information from the estimation unit 37, the extraction unit 38 acquires traffic information from the storage unit 34 (step S04). The extraction unit 38 acquires, for example, traffic information necessary to perform a route search from the user's current location to the destination. Then, the extraction unit 38 extracts a plurality of travel patterns available to the user by searching for a route from the user's current location to the destination using the traffic information (step S05). Then, the extraction unit 38 outputs pattern information indicating a plurality of movement patterns to the calculation unit 39. The movement pattern may include the route and means of transportation, as well as the degree of congestion, standard congestion degree, fare, travel time, arrival time, and the like.

Subsequently, upon receiving the pattern information from the extraction unit 38, the calculation unit 39 acquires profile information from the storage unit 36 (step S06). The calculation unit 39 obtains profile information of the user of the terminal device 10 by extracting profile information including the terminal ID of the terminal device 10 from the profile information stored in the storage unit 36, for example.

Then, the calculation unit 39 calculates the priority for each of the plurality of movement patterns (step S07). In this embodiment, the priority is calculated for each of n (n is an integer of 2 or more) movement patterns M ₁ to M _n . To be more specific, the calculation unit 39 calculates, for each movement pattern M _j (j is an integer from 1 to n), a time saving preference P _st , a health preference P _he , a convenience preference P _us , and a saving preference The degree of suitability _Fj is calculated based on the degree _Psa and the actual value corresponding to each degree of preference. The degree of suitability F _j is a value indicating the degree to which the movement pattern M _j matches the user's preferences.

In this embodiment, the travel time e _st ^j is used as the actual value corresponding to the time saving preference P _st . The travel time e _st ^j is the time required from the user's current location to the destination when travel pattern M _j is used. The calorie consumption e _he ^j is used as the actual value corresponding to the health preference level P _he . The consumed calorie e _he ^j is the calorie consumed by the user when using the movement pattern M _j . As the actual value corresponding to the convenience preference P _us , a flag e _us ^j indicating the use of a paid express train is used. For example, the flag e _us ^j is set to 1 when a paid express train is used in the movement pattern M _j , and set to 0 when a paid express train is not used. The travel cost e _sa ^j is used as the actual value corresponding to the saving preference degree P _sa . The movement cost e _sa ^j is the cost required when movement pattern M _j is used.

For example, the calculation unit 39 calculates the goodness of fit F _j using equation (6). Note that the weighting coefficients w _st , w _he , w _us , and w _sa are adjusted so that the product of each preference degree and the actual value corresponding to the preference degree has the same degree of influence on the fitness degree F _j . is the value of

Then, the calculation unit 39 sets the priority of each movement pattern _Mj such that the higher the fitness degree _Fj , the higher the priority. In other words, the calculation unit 39 calculates the plurality of preference degrees (time saving preference degree P _st , health preference degree P _he , convenience preference degree P _us , and saving preference degree P _sa ) and the actual preference degree corresponding to the plurality of preference degrees. Based on the values (travel time e _st ^j , consumed calories e _he ^j , flag e _us ^j , and travel cost e _sa ^j ), the priority of each of the plurality of travel patterns M _j is calculated.

Subsequently, the calculation unit 39 calculates the incentive for each movement pattern _Mj (step S08). In this embodiment, the calculation unit 39 calculates the incentive for each movement pattern _Mj based on the user's plurality of preference degrees and the congestion degree of the means of transportation (transportation facility) for each movement pattern _Mj . Specifically, the calculation unit 39 first determines whether the congestion degree of the means of transportation (transportation facility) of each movement pattern _Mj is lower than the standard congestion degree set for the means of transportation (transportation facility) of that movement pattern _Mj . is also smaller. When the degree of congestion is smaller than the reference degree of congestion, the user can select the movement pattern _Mj to alleviate the congestion.

By the way, if no incentive is given to any of the movement patterns _Mj , the movement pattern with the highest priority among the plurality of movement patterns _Mj (for convenience of explanation, the movement pattern _M1 (first movement pattern) is selected) .) is likely to be selected by the user. If the congestion degree of movement pattern _M1 is smaller than the reference congestion degree, congestion relief is expected even without providing incentives. However, if the congestion degree of the movement pattern _M1 is equal to or higher than the reference congestion degree, an incentive is given to the user so that the user selects another movement pattern whose congestion degree is smaller than the reference congestion degree.

Therefore, the calculation unit 39 determines that the congestion degree of the transportation means of movement pattern M ₁ is larger than (or more than) the reference congestion degree (first reference congestion degree) set for the transportation means of movement pattern M ₁ . In this case, another movement pattern (for convenience of explanation, it is referred to as movement pattern M ₂ (second movement pattern)) whose congestion degree is smaller than the reference congestion degree is extracted from the plurality of movement patterns M _j . Then, the calculation unit 39 calculates the incentive for the movement pattern _M2 so that the priority of the movement pattern _M2 is higher than the priority of the movement pattern _M1 . In other words, the calculation unit 39 calculates the incentive of the movement pattern M ₂ so that the degree of conformity F ₂ is greater than the degree of conformity F ₁ . That is, the calculation unit 39 calculates the incentive e _inc ² that satisfies equation (7).

The calculation unit 39 calculates the incentive similarly to equation (7) for each movement pattern in which the degree of congestion is smaller than the reference degree of congestion. Note that the calculation unit 39 may set the incentive of the movement pattern whose congestion degree is equal to or higher than the reference congestion degree to 0. Then, the calculation unit 39 outputs information indicating the combination of each movement pattern _Mj and the incentive to the output unit 40.

Subsequently, upon receiving the combination of each movement pattern _Mj , priority, and incentive from the calculation unit 39, the output unit 40 generates presentation information for presenting the movement pattern to the user, and transmits the presentation information to the terminal. The information is transmitted (output) to the device 10 (step S09).

When the terminal device 10 receives the presentation information from the presentation device 30 (output unit 40), it displays the presentation information on, for example, a display. For example, as shown in FIG. 7, a message indicating the means of transportation and incentives may be displayed as a pop-up message by an application or SNS (Social Networking Service). Note that in the above screen example, only one movement pattern is shown, but a plurality of movement patterns may be shown in descending order of priority.

With the above, the series of processing of the presentation method is completed. Note that in step S04, all traffic information stored in the storage unit 34 may be acquired. In this case, step S04 may be performed at any timing before step S05. Step S06 may be performed at any timing before step S07.

In the presentation system 1 and presentation device 30 described above, a plurality of movement patterns that can be used by the user to go to the destination are extracted, and based on the user's plurality of preferences, each of the plurality of movement patterns is selected. The incentive to be added is calculated, and presentation information including the movement pattern and the incentive is output. As mentioned above, incentives are calculated based on multiple preference degrees, so it is possible to calculate incentives that are more suited to the user's preferences than when incentives are calculated based on a single preference degree. It becomes possible.

Incentives are calculated based on the congestion degree of the means of transportation for each movement pattern _Mj . With this configuration, it is possible to calculate incentives so as to contribute to alleviating congestion.

A degree of conformity F _j indicating the degree of conformity to the user's taste is calculated from a plurality of degree of preference and the actual value corresponding to the degree of preference. A plurality of movement patterns _Mj are presented to the user in descending order of priority. In the embodiment described above, the higher the fitness degree F _j of the movement pattern M _j is, the higher the priority of the movement pattern M _j is set. Since it is thought that the user selects the movement pattern that best suits the user's preferences, according to the above configuration, the movement patterns can be presented in the order in which the user is most likely to select them.

A standard congestion degree is set for each means of transportation of a plurality of movement patterns. If the congestion degree of the movement pattern _M1 with the highest priority among the plurality of movement patterns _Mj is greater than the reference congestion degree set for the transportation means of the movement pattern _M1 , the user selects the movement pattern _M1 . If this option is selected, it will not be possible to contribute to alleviating congestion. On the other hand, the incentive of the movement pattern is set so that the priority of the movement pattern whose congestion degree is smaller than the reference congestion degree is higher than the priority of the movement pattern _M1 . According to this configuration, the possibility that the user will select a movement pattern in which the degree of congestion is smaller than the reference congestion degree increases, so that it is possible to contribute to alleviating congestion.

The estimation unit 37 estimates the destination based on behavior information regarding the user's behavior. For example, when a user goes to work every morning, the time zone and commuting route when the user leaves home are approximately constant. Such daily movement can be detected from the user's behavior information, so when daily movement is detected, it is possible to estimate the destination. According to this configuration, even if the user does not explicitly set a destination, by estimating the destination, movement patterns and incentives can be presented, making it possible to further alleviate congestion. .

The generation unit 35 generates a plurality of preference degrees based on behavior information regarding the user's behavior. According to this configuration, a plurality of user preference degrees are generated from the user's actual behavior. Therefore, it is possible to improve the precision of preference.

Although the embodiments of the present disclosure have been described above, the present disclosure is not limited to the above embodiments.

The presentation device 30 may be configured by one device that is physically or logically coupled, or may be configured by a plurality of devices that are physically or logically separated from each other. For example, the presentation device 30 may be realized by a plurality of computers distributed over a network, such as cloud computing. As described above, the configuration of the presentation device 30 may include any configuration that can realize the functions of the presentation device 30.

At least one of the storage section 32, the storage section 34, and the storage section 36 may be provided outside the presentation device 30. That is, the presentation device 30 does not need to include at least one of the storage section 32, the storage section 34, and the storage section 36.

The user may set each preference level in advance. In this case, the presentation device 30 does not need to include the generation unit 35.

The presentation device 30 may perform a series of processes of the above presentation method in response to the user performing a route search. In this case, since the user specifies the destination and searches for a route, the presentation device 30 does not need to include the estimation unit 37, and steps S01 to S03 can be omitted. Furthermore, when the user specifies a starting point and performs a route search, the extraction unit 38 may extract a movement pattern from the starting point to the destination instead of the user's current location.

FIG. 8(a) is a diagram showing another example of a screen displayed on the terminal device shown in FIG. FIG. 8B is a diagram showing yet another example of a screen displayed on the terminal device shown in FIG. As shown in FIG. 8(a), the route and required time from the user's current location to the destination are shown on the map, and a message indicating an incentive ("200 yen cashback if you select this route") is displayed on the map. It may be displayed in a superimposed manner. As shown in FIG. 8(b), a map near the user's current location and a 3D video representing the direction of travel from the driver's perspective are displayed, and a message indicating the route and incentive is displayed on the 3D video. may be displayed in a superimposed manner.

The convenience preference P _us may be calculated based on the rate at which the user uses taxis when traveling. The weighting factors w _st , wh _he , w _us , w _sa may be adjusted based on the value of the incentive and its effectiveness.

The calculation unit 39 may calculate the weighting coefficients w _st , w _he , w _us , w _sa based on the user's basic information. Examples of basic information include age, gender, and place of residence. For example, if the user is a housewife, the weighting coefficient w _st is set to a large value. If the user's residence is in an area where there are many wealthy people, the weighting coefficient w _us is set to a large value.

Traffic information does not need to include the degree of congestion. In this case, the degree of congestion may be calculated by the presentation device 30. For example, the calculation unit 39 may estimate the congestion degree from the past congestion degree. For example, the calculation unit 39 may estimate the congestion level from past congestion levels on the same day of the week, holiday, time zone, and the like. A machine learning model may be used to estimate the degree of congestion. The calculation unit 39 assumes that each user selects the movement pattern with the highest priority in the presentation information presented to each user, and provides incentives so that the degree of congestion after selecting the movement pattern does not exceed the reference congestion degree. may be adjusted.

The calculation unit 39 may calculate the incentive by further adding a basic incentive set in advance for each movement pattern to the incentive of each movement pattern. In this case, the user's sense of unfairness can be reduced.

The presentation information may include information for allowing the user to select the type of incentive. Types of incentives include points and cash. The output unit 40 may calculate the frequency of use of points, etc. from the user's payment information, and determine the type of incentive based on the frequency of use. The output unit 40 may determine the type of incentive based on the number of various points owned by the user.

A travel pattern using walking, cycling, etc. may be presented to a user with a high saving preference degree and a high health preference degree. Depending on the health preference level, the length of the travel section using walking, bicycle, etc. may be changed. For example, the travel pattern may be set such that the higher the health preference, the longer the travel section.

It should be noted that the block diagram used in the description of the above embodiment shows blocks in functional units. These functional blocks (components) are realized by any combination of at least one of hardware and software. Furthermore, the method for realizing each functional block is not particularly limited. That is, each functional block may be realized using one physically or logically coupled device, or may be realized using two or more physically or logically separated devices directly or indirectly (e.g. , wired, wireless, etc.) and may be realized using a plurality of these devices. The functional block may be realized by combining software with the one device or the plurality of devices.

Functions include judgment, decision, judgment, calculation, calculation, processing, derivation, investigation, exploration, confirmation, reception, transmission, output, access, resolution, selection, selection, establishment, comparison, assumption, expectation, consideration, These include broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, and assigning. It is not limited to functions. For example, a functional block (configuration unit) that performs transmission is called a transmitting unit or transmitter. In either case, as described above, the implementation method is not particularly limited.

For example, the presentation device 30 in an embodiment of the present disclosure may function as a computer that performs the processing of the present disclosure. FIG. 9 is a diagram illustrating an example of the hardware configuration of the presentation device 30 according to an embodiment of the present disclosure. The presentation device 30 described above may be physically configured as a computer device including a processor 1001, a memory 1002, a storage 1003, a communication device 1004, an input device 1005, an output device 1006, a bus 1007, and the like.

Note that in the following description, the word "apparatus" can be read as a circuit, a device, a unit, or the like. The hardware configuration of the presentation device 30 may be configured to include one or more of each device shown in the figure, or may be configured not to include some of the devices.

Each function in the presentation device 30 is implemented by loading predetermined software (programs) onto hardware such as the processor 1001 and memory 1002, so that the processor 1001 performs calculations, controls communication by the communication device 1004, and controls communication by the communication device 1004. This is realized by controlling at least one of data reading and writing in the storage 1003.

The processor 1001, for example, operates an operating system to control the entire computer. The processor 1001 may be configured by a central processing unit (CPU) including an interface with peripheral devices, a control device, an arithmetic device, a register, and the like. For example, each function of the presentation device 30 described above may be realized by the processor 1001.

Furthermore, the processor 1001 reads programs (program codes), software modules, data, and the like from at least one of the storage 1003 and the communication device 1004 to the memory 1002, and executes various processes in accordance with these. As the program, a program that causes a computer to execute at least part of the operations described in the above embodiments is used. For example, each function of the presentation device 30 may be realized by a control program stored in the memory 1002 and operated on the processor 1001. Although the various processes described above have been described as being executed by one processor 1001, they may be executed by two or more processors 1001 simultaneously or sequentially. Processor 1001 may be implemented by one or more chips. Note that the program may be transmitted from a network via a telecommunications line.

The memory 1002 is a computer-readable recording medium, and includes at least one of ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), RAM (Random Access Memory), and the like. may be done. Memory 1002 may be called a register, cache, main memory, or the like. The memory 1002 can store executable programs (program codes), software modules, etc. for implementing the presentation method according to an embodiment of the present disclosure.

The storage 1003 is a computer-readable recording medium, such as an optical disk such as a CD-ROM (Compact Disc ROM), a hard disk drive, a flexible disk, or a magneto-optical disk (for example, a compact disk, a digital versatile disk, or a Blu-ray disk). (registered trademark disk), smart card, flash memory (eg, card, stick, key drive), floppy disk, magnetic strip, etc. Storage 1003 may also be called an auxiliary storage device. The storage medium mentioned above may be, for example, a database including at least one of memory 1002 and storage 1003, a server, or other suitable medium.

The communication device 1004 is hardware (transmission/reception device) for communicating between computers via at least one of a wired network and a wireless network, and is also referred to as, for example, a network device, a network controller, a network card, a communication module, or the like. The communication device 1004 includes, for example, a high frequency switch, a duplexer, a filter, a frequency synthesizer, etc. to realize at least one of frequency division duplex (FDD) and time division duplex (TDD). It may be composed of. For example, the above-described acquisition units 31 and 33, output unit 40, and the like may be realized by the communication device 1004.

The input device 1005 is an input device (eg, keyboard, mouse, microphone, switch, button, sensor, etc.) that accepts input from the outside. The output device 1006 is an output device (for example, a display, a speaker, an LED lamp, etc.) that performs output to the outside. Note that the input device 1005 and the output device 1006 may have an integrated configuration (for example, a touch panel).

Furthermore, each device such as the processor 1001 and the memory 1002 is connected by a bus 1007 for communicating information. The bus 1007 may be configured using a single bus, or may be configured using different buses for each device.

The presentation device 30 also includes hardware such as a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a programmable logic device (PLD), and a field programmable gate array (FPGA). A part or all of each functional block may be realized by the hardware. For example, processor 1001 may be implemented using at least one of these hardwares.

Notification of information is not limited to the aspects/embodiments described in this disclosure, and may be performed using other methods.

The processing procedures, sequences, flowcharts, etc. of each aspect/embodiment described in this disclosure may be rearranged in order as long as there is no contradiction. For example, the methods described in this disclosure use an exemplary order to present elements of the various steps and are not limited to the particular order presented.

Information etc. can be output from an upper layer (or lower layer) to a lower layer (or upper layer). Information etc. may be input/output via multiple network nodes.

The input/output information may be stored in a specific location (for example, memory) or may be managed using a management table. Information etc. to be input/output may be overwritten, updated, or additionally written. The output information etc. may be deleted. The input information etc. may be transmitted to other devices.

Judgment may be made using a value expressed by 1 bit (0 or 1), a truth value (Boolean: true or false), or a comparison of numerical values (for example, a predetermined value). (comparison with a value).

Each aspect/embodiment described in this disclosure may be used alone, may be used in combination, or may be switched and used in accordance with execution. Further, notification of prescribed information (for example, notification of “X”) is not limited to explicit notification, but may also be done implicitly (for example, by not notifying the prescribed information). Good too.

Although the present disclosure has been described in detail above, it will be apparent to those skilled in the art that the present disclosure is not limited to the embodiments described herein. The present disclosure can be implemented as modifications and variations without departing from the spirit and scope of the present disclosure as determined by the claims. Therefore, the description of the present disclosure is for illustrative purposes only and is not meant to be limiting on the present disclosure.

Software includes instructions, instruction sets, code, code segments, program code, programs, subprograms, software modules, whether referred to as software, firmware, middleware, microcode, hardware description language, or by any other name. , should be broadly construed to mean an application, software application, software package, routine, subroutine, object, executable, thread of execution, procedure, function, etc.

Additionally, software, instructions, information, etc. may be sent and received via a transmission medium. For example, if the software uses wired technology (coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), etc.) and/or wireless technology (infrared, microwave, etc.) to When transmitted from a server or other remote source, these wired and/or wireless technologies are included within the definition of transmission medium.

The information, signals, etc. described in this disclosure may be represented using any of a variety of different technologies. For example, data, instructions, commands, information, signals, bits, symbols, chips, etc., which may be referred to throughout the above description, may refer to voltages, currents, electromagnetic waves, magnetic fields or magnetic particles, light fields or photons, or any of these. It may also be represented by a combination of

Note that terms explained in this disclosure and terms necessary for understanding this disclosure may be replaced with terms having the same or similar meanings.

As used in this disclosure, the terms "system" and "network" are used interchangeably.

Furthermore, the information, parameters, etc. described in this disclosure may be expressed using absolute values, relative values from a predetermined value, or other corresponding information. It may also be expressed as

The names used for the parameters mentioned above are not restrictive in any respect. Furthermore, the mathematical formulas etc. using these parameters may differ from those explicitly disclosed in this disclosure.

As used in this disclosure, the terms "determining" and "determining" may encompass a wide variety of operations. "Judgment" and "decision" include, for example, judging, calculating, computing, processing, deriving, investigating, looking up, search, and inquiry. (e.g., searching in a table, database, or other data structure), and regarding an ascertaining as a "judgment" or "decision." In addition, "judgment" and "decision" refer to receiving (e.g., receiving information), transmitting (e.g., sending information), input, output, and access. (accessing) (for example, accessing data in memory) may include considering something as a "judgment" or "decision." In addition, "judgment" and "decision" refer to resolving, selecting, choosing, establishing, comparing, etc. as "judgment" and "decision". may be included. In other words, "judgment" and "decision" may include regarding some action as having been "judged" or "determined." Further, "judgment (decision)" may be read as "assuming", "expecting", "considering", etc.

The terms "connected", "coupled", or any variations thereof, mean any connection or coupling, direct or indirect, between two or more elements and each other. It may include the presence of one or more intermediate elements between two elements that are "connected" or "coupled." The bonds or connections between elements may be physical, logical, or a combination thereof. For example, "connection" may be replaced with "access." As used in this disclosure, two elements may include one or more electrical wires, cables, and/or printed electrical connections, as well as in the radio frequency domain, as some non-limiting and non-inclusive examples. , electromagnetic energy having wavelengths in the microwave and optical (both visible and non-visible) ranges.

As used in this disclosure, the phrase "based on" does not mean "based solely on" unless explicitly stated otherwise. In other words, the phrase "based on" means both "based only on" and "based at least on."

As used in this disclosure, any reference to elements using the designations "first," "second," etc. does not generally limit the amount or order of those elements. These designations may be used in this disclosure as a convenient way to distinguish between two or more elements. Thus, reference to a first and second element does not imply that only two elements may be employed or that the first element must precede the second element in any way.

"Unit" in the configuration of each device described above may be replaced with "circuit", "device", etc.

Where "include", "including" and variations thereof are used in this disclosure, these terms, like the term "comprising," are inclusive. It is intended that Furthermore, the term "or" as used in this disclosure is not intended to be exclusive or.

In this disclosure, when articles are added by translation, such as a, an, and the in English, the disclosure may include that the nouns following these articles are plural.

In the present disclosure, the term "A and B are different" may mean "A and B are different from each other." Note that the term may also mean that "A and B are each different from C". Terms such as "separate" and "coupled" may also be interpreted similarly to "different."

1... presentation system, 10... terminal device, 20... server device, 30... presentation device, 31... acquisition section, 32... storage section, 33... acquisition section, 34... storage section, 35... generation section, 36... storage section, 37... Estimating unit, 38... Extracting unit, 39... Calculating unit, 40... Output unit, 1001... Processor, 1002... Memory, 1003... Storage, 1004... Communication device, 1005... Input device, 1006... Output device, 1007... Bus .

Claims (4)

A presentation device that presents a travel pattern indicating routes and means of transportation that a user can use to reach a destination, the presentation device comprising:
an extraction unit that extracts a plurality of movement patterns based on traffic information from the user's current location to the destination;
a calculation unit that calculates an incentive to be added to each of the plurality of movement patterns based on a plurality of preference degrees indicating the user's preferences and a congestion degree for each of the plurality of movement patterns;
an output unit that outputs presentation information including the plurality of movement patterns and the incentive corresponding to each of the plurality of movement patterns;
Equipped with
The calculation unit calculates the priority of each of the plurality of movement patterns based on the plurality of preference degrees and the actual value corresponding to the plurality of preference degrees,
The output unit is a presentation device that outputs the presentation information that presents the plurality of movement patterns in descending order of priority . A standard congestion degree is set for each of the transportation means of the plurality of movement patterns,
The calculation unit is configured such that the congestion degree of the first movement pattern having the highest priority among the plurality of movement patterns is higher than a first standard congestion degree set for the transportation means of the first movement pattern. If the congestion degree is larger than the reference congestion degree, a second movement pattern having the congestion degree smaller than the reference congestion degree is extracted from the plurality of movement patterns, and the priority of the second movement pattern is higher than the priority of the first movement pattern. The presentation device according to claim 1 , wherein the incentive of the second movement pattern is calculated so as to increase the incentive. The presentation device according to claim 1 or 2 , further comprising an estimation unit that estimates the destination based on behavior information regarding the user's behavior. The presentation device according to any one of claims 1 to 3 , further comprising a generation unit that generates the plurality of preference degrees based on behavior information regarding the user's behavior.

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