JP2019079267A - Information providing device, information providing system and information providing method - Google Patents

Abstract

To provide an information providing device, an information providing system and an information providing method capable of proposing an efficient route.SOLUTION: An information providing device according to an embodiment includes a calculating unit and a providing unit. The calculating unit calculates a customer expectation value that indicates a substantial demand for each area on the basis of a demand prediction value of the customer for each area and on the number of supplied moving bodies that can be supplied for each area. The providing unit provides recommended movement information on the basis of the customer expectation value for each area calculated by the calculating unit.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information providing apparatus, an information providing system, and an information providing method.

  In recent years, there has been a navigation system which proposes a route to an area high in customer demand for taxis of empty cars. In such a navigation system, a route is proposed by predicting the current demand from the past history (for example, see Patent Document 1).

Japanese Patent Laid-Open No. 2002-107165

  However, in the prior art, taxis are concentrated in areas with high demand, and for example, in certain areas, supply may exceed demand. Thus, the prior art has room for improvement in terms of proposing an efficient route.

  The present invention has been made in view of the above, and it is an object of the present invention to provide an information providing device, an information providing system, and an information providing method capable of proposing an efficient route.

  In order to solve the problems described above and achieve the purpose, the information providing apparatus according to the embodiment includes a calculating unit and a providing unit. The calculation unit calculates a customer expected value indicating a substantial demand for each area based on the demand forecast value of the customer for each area and the supply number of mobiles that can be supplied for each area. The providing unit provides recommended movement information based on the customer expectation value for each area calculated by the calculation unit.

  According to the present invention, efficient routes can be proposed.

FIG. 1 is a diagram showing an outline of an information providing method. FIG. 2 is a diagram showing the configuration of the information providing system. FIG. 3 is a block diagram of the information providing apparatus. FIG. 4 is a diagram showing a specific example of taxi information. FIG. 5 is a diagram showing a specific example of the area information. FIG. 6 is a diagram showing an example of calculation of a customer expected value. FIG. 7 is a diagram showing a specific example of selection processing by the providing unit when the destination is set. FIG. 8 is a diagram showing a specific example of selection processing by the providing unit when the destination is not set. FIG. 9 is a block diagram of a terminal device. FIG. 10 is a diagram showing a specific example of the display screen. FIG. 11 is a flowchart showing the processing procedure executed by the information providing apparatus. FIG. 12 is a diagram illustrating processing by a providing unit according to a modification.

  Hereinafter, an information providing apparatus, an information providing system, and an information providing method according to an embodiment will be described in detail with reference to the attached drawings. Note that the present invention is not limited by the embodiments described below.

  First, an outline of the information provision method according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram showing an outline of an information providing method. The information provision method is executed by the information provision device 1. Moreover, in the following embodiment, the case where a mobile body is a taxi Tx will be described as an example.

  The information provision method according to the embodiment proposes a route that can efficiently find a customer for the taxi Tx. First, prior to the information provision method according to the embodiment, the prior art will be described.

  In the prior art, an area where the current demand is high (hereinafter also referred to as a high demand area) is predicted from past vehicle allocation history, and route guidance to the high demand area is performed. However, in the prior art, there is a possibility that taxis may be concentrated in the high demand area at the same timing.

  For this reason, in the prior art, even if a taxi goes to a high demand area, it does not necessarily pick up passengers. For example, if taxis are supplied enough for the demand of high demand areas, it is not easy to pick up passengers in such high demand areas.

  In addition, even in areas where demand is low, if the number of taxis supplied is small, it may be possible to easily pick up passengers in such areas. Thus, the prior art has room for improvement in proposing an efficient route for picking up passengers.

  Also, in general, since the driver empirically learns a path likely to pick up the passenger, it is not easy for a less experienced driver to pick up the passenger efficiently. Furthermore, even for experienced drivers, it is not easy to pick up passengers efficiently in areas where there is no land.

  Therefore, the information provision method according to the embodiment can provide a route for picking up passengers efficiently by providing recommended movement information of the taxi Tx based on the demand and supply for each area.

  Specifically, as shown in FIG. 1, in the information providing method according to the embodiment, the customer expected value is calculated based on the demand forecast value for each area and the number of supplies of taxis Tx that can be supplied for each area ( Step S1).

  The number of taxis Tx that can be supplied may be the number of taxis Tx that can carry passengers present in the area, or the number of taxis Tx that can carry passengers present in the area and the predetermined time The number may be the total number of taxis Tx that can arrive inside the area and predict that passengers can be carried.

  For example, the supply number of the taxies Tx that can be supplied can be estimated based on the presence or absence of the passengers of the taxis Tx and the moving speed and moving direction. In FIG. 1, the numbers respectively described for each mesh indicate the demand forecast value and the number of supplies for each area.

  For example, in the information providing method according to the embodiment, a value obtained by subtracting the number of supplies with respect to the demand forecast value for each area is calculated as a customer expected value. That is, the customer expectation value indicates the substantial demand of each area.

  Subsequently, in the information providing method according to the embodiment, the recommended movement information is provided based on the customer expected value (step S2). The recommended movement information is, for example, information indicating an area having a high customer expectation value. That is, the recommended movement information is information on an area (hereinafter referred to as a passage area) through which the taxi Tx should efficiently pick up passengers.

  In the example of FIG. 1, the passage area is hatched. Then, the taxi Tx can selectively travel in an area having a high expectation value for picking up a passenger by traveling on a route R connecting the passing area.

  As described above, in the information providing method according to the embodiment, since the recommended movement information is provided based on the customer expectation value based on the demand and supply of each area, it is possible to propose an efficient route for picking up passengers. It becomes possible.

  Further, in the information providing method according to the embodiment, by proposing an efficient route, it is also possible to eliminate the variation in skill between drivers for efficiently picking up passengers. As a result, the operation efficiency of the taxi Tx can be improved, and the taxi Tx can quickly respond to the needs of passengers. In other words, the convenience of the taxi Tx can be improved. In the above-mentioned example, although a case where a plurality of passage areas were selected was explained, one passage area may be sufficient.

  Next, the configuration of the information providing system 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing an exemplary configuration of the information providing system 100. As shown in FIG. As shown in FIG. 2, the information providing system 100 includes an information providing device 1 and a plurality of terminal devices 50. The information providing device 1 is, for example, a server provided in a center. The information providing device 1 and the plurality of terminal devices 50 can transmit and receive information bidirectionally via the network N, for example.

  The plurality of terminal devices 50 are mounted on the taxi Tx, respectively, and transmit, to the information providing device 1, dynamic information indicating the current location of the taxi Tx and the actual vehicle status. The information providing device 1 can obtain the supply number of taxies Tx that can be supplied for each area based on the information received from the terminal device 50.

  Further, the information providing device 1 selects a passing area for each terminal device 50 (taxi Tx) based on the information. Then, the information providing device 1 transmits, to the terminal device 50, recommended movement information on the passage area selected for each of the terminal devices 50. Thereby, the driver can know an area with a high customer expectation value based on the recommended movement information.

  As described above, the information providing system 100 according to the embodiment enables the information providing device 1 to centrally manage each taxi Tx, thereby making it possible to accurately grasp the current number of taxis Tx supplied to each area. . Therefore, in the information providing system 100 according to the embodiment, it is possible to calculate the customer expected value with high accuracy.

  In the information providing system 100, the information providing device 1 may be formed integrally with each of the terminal devices 50, for example. In other words, the processing of the information providing device 1 may be shared and performed by the plurality of terminal devices 50.

  Next, the configuration of the information providing apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 3 is a block diagram of the information providing device 1. In addition to the information providing device 1, the demand prediction device 60 is also shown in FIG. 3.

  The demand prediction device 60 predicts the number of taxis Tx required for each area. For example, the demand prediction apparatus 60 derives the current population distribution based on the number of accesses to the mobile telephone network line for each area, and analyzes it using artificial intelligence from time series data of population distribution, weather data, and the like. Then, the demand prediction device 60 predicts the number of taxis Tx demand up to 30 minutes after each area. The number of demands is the above demand forecast value.

  The demand prediction device 60 calculates, for example, a demand prediction value every 10 minutes, and outputs it to the information providing device 1 for each calculation. The demand prediction device 60 is, for example, a server provided in a center. The above-described information providing device 1 may be configured to include the demand prediction device 60.

  The information providing device 1 includes a communication unit 2, a control unit 3, and a storage unit 4. The communication unit 2 is a communication interface that communicates with each of the terminal devices 50 via the network N shown in FIG. The control unit 3 includes an acquisition unit 31, a calculation unit 32, and a provision unit 33. The storage unit 4 also stores demand forecast value information 41, taxi information 42, supply information 43, and area information 44.

  The control unit 3 includes, for example, a computer having a central processing unit (CPU), a read only memory (ROM), a random access memory (RAM), a hard disk drive (HDD), an input / output port, and various circuits.

  The CPU of the computer functions as an acquisition unit 31, a calculation unit 32, and a provision unit 33 of the control unit 3 by reading and executing a program stored in the ROM, for example.

  Alternatively, at least one or all of the acquisition unit 31, the calculation unit 32, and the provision unit 33 of the control unit 3 may be configured by hardware such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA). it can.

  The storage unit 4 corresponds to, for example, a RAM or an HDD. The RAM and the HDD can store demand forecast value information 41, taxi information 42, supply information 43, area information 44 and information of various programs. The information providing apparatus 1 may acquire the above-described program and various information via another computer connected via a wired or wireless network or a portable recording medium.

  The acquisition unit 31 acquires information transmitted from the terminal device 50, and stores the information in the storage unit 4 as taxi information 42. Such information includes position information indicating the current location of the taxi Tx, movement information indicating the actual vehicle status of the taxi Tx, and the like.

  FIG. 4 is a diagram showing a specific example of the taxi information 42. As shown in FIG. As shown in FIG. 4, the taxi information 42 is information in which “vehicle ID”, “dynamic status”, “current location”, “destination” and the like of the taxi Tx are associated.

  Vehicle ID is an identifier for identifying the vehicle of each taxi Tx. The movement shows the actual situation of the taxi Tx. The movement is divided into, for example, an empty car, a real car, and a standby. In addition, the destination indicates the destination of the taxi Tx which is a real vehicle. In other words, it indicates where the passenger got off.

  Returning to the description of FIG. 3, the calculation unit 32 will be described. The calculation unit 32 calculates a customer expected value indicating a substantial demand for each area based on the demand forecast value of the customer for each area and the number of supplies of the taxi Tx that can be supplied for each area.

  For example, the calculation unit 32 calculates the customer expected value by subtracting the number of supplies available for the taxi Tx from the demand forecast value for each area. The supply number is stored in the storage unit 4 as the supply information 43. The supply information 43 is, for example, information indicating the number of taxis Tx existing in each area minus the vehicle in the actual vehicle.

  While the demand forecast value described above is updated, for example, at intervals of 10 minutes, the number of supplies is updated as needed in real time. For this reason, the calculation unit 32 calculates the customer expected value every time the number of supplies is updated.

  In particular, since the driver looks for a passenger while traveling the taxi Tx, the current location of the taxi Tx constantly changes. For this reason, if the calculation unit 32 calculates the customer expectation value at predetermined intervals (for example, every 5 minutes), a gap occurs between the actual customer expectation value and the calculated customer expectation value, and the likelihood decreases.

  That is, the calculation unit 32 can calculate a highly reliable customer expected value by updating the customer expected value as needed.

  The calculation unit 32 can also calculate the customer expectation value based on the passenger's boarding history for each area. The boarding history includes the destination from each area, the fare, the waiting time required for getting on the passenger after entering the area, and the like.

  For example, information obtained by converting the boarding history into a database is stored as the area information 44 in the storage unit 4. FIG. 5 is a diagram showing a specific example of the area information 44. As shown in FIG. As shown in FIG. 5, the area information 44 is information in which “area ID”, “position”, “main destination”, “waiting time”, “customer unit price” and the like are associated.

  The area ID is an identifier for identifying each area. The position indicates the area in which each area is present. The major destinations indicate major destinations set in each area. The waiting time is the time taken from the entry into each area to the actual getting on of the passengers. The customer unit price indicates the expected fare for one ride in each area.

  For example, the customer unit price can be derived based on the fare to the main destination and the average value of the fares sent and received from each area. The area information 44 is appropriately updated according to the day of the week, the time zone, the weather, the presence or absence of an event in each area, the type of the event, and the like. That is, even in the same area, different main destinations, waiting times, and customer unit prices are set depending on the day of the week, the time zone, the weather, the presence of an event, and the like.

  For example, the calculation unit 32 weights the above-described customer expectation value based on the waiting time, the customer unit price, and the like. Specifically, for the area having a long waiting time, for example, the calculating unit 32 performs weighting so that the customer expected value becomes low according to the waiting time.

  In addition, the calculation unit 32 weights the customer expected value based on the expected value of the fare per unit. In such a case, for example, the calculation unit 32 can perform weighting so that the customer expectation value is high for an area where the customer unit price is low, that is, an area where a relatively close destination is likely to be set.

  That is, the calculation unit 32 weights the area where the short distance ride is expected to be higher than the customer expected value for the area where the long distance ride is expected.

  As a result, the taxi Tx can pick up passengers many times while traveling around a relatively nearby area, and therefore can efficiently earn sales. In addition, the calculation unit 32 may weight the customer expectation value based on the presence / absence of the driver of the taxi Tx. In such a case, the calculation unit 32 can perform weighting so that the customer expected value becomes high with respect to the area in which the driver of the taxi Tx has land perception.

  As a result, the taxi Tx can pick up passengers many times while traveling around an area well known to the driver, and therefore, it is possible to earn sales efficiently. That is, by selectively running the area in which the driver has a sense of land, it is possible to utilize the information on the area acquired by the driver empirically.

  The calculating unit 32 can also calculate the customer expected value of each area based on the customer expected value of the destination area having the main destination of each area. This point will be described with reference to FIG. FIG. 6 is a diagram showing an example of calculation of a customer expected value.

  As shown in FIG. 6, the calculation unit 32 calculates the customer expectation value of the departure area As with each area as the departure area As based on the customer expectation value of the destination area Ag having the main destinations of the departure area As. .

  For example, even if the customer expected value of the departure area As is high, the calculation unit 32 actually determines the customer expected value of the departure area As when the customer expected value of the destination area Ag associated with the departure area As is low. Calculate lower than customer expectations.

  It is easy for the taxi Tx to pick up passengers again in the destination area Ag after arriving at the destination area Ag if the customer expectation value of the departure area As is high but the customer expectation of the destination area Ag is low It is not. For example, if the taxi Tx brings passengers from the central area to the suburbs and if there are empty cars from the suburbs to the central area, sales will decrease by the amount of empty cars.

  In other words, taxi Tx is more efficient when carrying passengers from areas with high customer expectations to areas with high customer expectations than carrying passengers from areas with high customer expectations to areas with low customer expectations. It can be expected to shorten the time.

  Thus, the calculation unit 32 calculates the customer expected value of each area based on the destination area Ag associated with each area. As a result, the taxi Tx can efficiently pick up passengers near the destination even after arriving at the destination with passengers.

  In addition, although the case where the calculation part 32 calculates the customer expected value of each departure area As based on the customer expected value of the destination area Ag was demonstrated here, the customer expected value of the peripheral area of the destination area Ag is described. The customer expected value of each departure area As may be calculated based on the above.

  That is, even if the customer expectation value of the destination area Ag itself is low, the calculation unit 32 can calculate the customer expectation value of the destination area Ag high if the customer expectation value of the surrounding area is high.

  In addition, when the customer expectation value of each departure area As is low and the customer expectation value of each destination area Ag is high, the calculation unit 33 calculates the customer expectation value of each departure area As higher than the actual customer expectation value. It is also possible.

  The calculating unit 33 does not have to calculate the customer expectation value based on the destination area Ag for all areas, and calculates the customer expectation value by limiting the area to the area where the customer expectation value is a predetermined value or more. May be In other words, the customer expected value may be calculated in detail by limiting to an area where the customer expected value is high. Thereby, the processing load of the calculation unit 33 can be suppressed.

  Returning to the description of FIG. 3, the providing unit 33 will be described. The providing unit 33 provides recommended movement information based on the customer expected value calculated by the calculating unit 32. Here, the recommended movement information includes information on recommended movement destination information on the passage area described above, and information on recommended movement route information including the passage area.

  For example, when the movement status of the taxi Tx changes from an actual vehicle to an empty vehicle, the providing unit 33 provides information on an area having a high customer expectation value within a predetermined range from the current location of the taxi Tx as recommended travel destination information. That is, the providing unit 33 does not provide the recommended movement information of the entire range but provides the recommended movement information limited to the current location around the taxi Tx.

  This makes it possible to reduce the distance traveled by an empty car for each taxi Tx. That is, it is possible to increase the unit price of sales of each taxi Tx.

  Here, a specific example of the process performed by the providing unit 33 will be described with reference to FIGS. 7 and 8. FIG. 7 is a diagram showing a specific example of processing by the providing unit 33 when the destination is set. FIG. 8 is a diagram illustrating a specific example of processing by the providing unit 33 when the destination is not set. In addition, the destination in the following shows the destination in the case where the movement of the taxi Tx is an empty car.

  As shown in FIG. 7, when the destination Pd of the taxi Tx is set, the providing unit 33 selects a passage area from the current position Pc of the taxi Tx to a selection range La including the destination Pd.

  The selection range La is, for example, a range of, for example, 3 km or less each around a straight line (broken line shown in the figure) connecting the current location Pc and the destination Pd. That is, an area with a high customer expectation value is selected as a passing area on the road from the current location Pc of the taxi Tx to the destination Pd.

  At this time, the providing unit 33 selects, for example, the top five areas in the selection range La from the descending order of the customer expected value as the passing area. Thus, the taxi Tx can select a route that preferentially passes through the area where the customer expectation value is high. In the example shown in FIG. 7, the passing area is indicated by a black square, and the area not selected as the passing area is indicated by a dashed square.

  As described above, when the destination Pd is set, the providing unit 33 selects an area where the possibility of efficiently picking up passengers is high as the passing area, while the taxi Tx of the empty car goes to the destination Pd.

  That is, the taxi Tx can efficiently search for passengers while heading for the destination Pd. That is, the taxi Tx can efficiently utilize the clearance time on the way to the destination Pd. Although FIG. 7 exemplifies the case where the selection range La is a band, the selection range La is not limited to the band.

  In addition, the providing unit 33 selects a recommended moving route passing through the selected passing area. In the example shown in the figure, the case where the recommended travel route is a route passing through the passing area in order of proximity from the current position Pc is illustrated. However, the recommended travel route may be a route passing through the passing area in the descending order of the customer expectation value, or a route which can travel all the passing areas at the earliest based on the traffic volume of each area.

  Next, processing by the providing unit 33 when the destination of the taxi Tx is not set will be described using FIG. 8. As shown in FIG. 8, first, the providing unit 33 sets a destination when the destination of the taxi Tx is not set (step S21).

  The providing unit 33 sets, for example, an area with the highest customer expectation value from among the selection range Lb within a radius of 10 Km, centering on the current location Pc of the taxi Tx, as the destination. That is, the providing unit 33 sets, as a destination, an area where the taxi Tx is most likely to pick up a passenger.

  Subsequently, the providing unit 33 sets a selection range La connecting the current position Pc described above and the destination (step S22). Then, the providing unit 33 selects a plurality of passage areas in the descending order of the customer expected value from the selection range La (step S23).

  As described above, when the destination is not set, the providing unit 33 sets the area with the highest customer expectation value as the destination, and selects the passing area based on the destination.

  That is, by setting a destination, it is possible to set an appropriate destination for a driver who does not have a fixed route, such as an inexperienced driver or a driver who does not know the ground.

  As a result, it is possible to shorten the time for setting the destination and provide information on an efficient route for picking up passengers for a driver whose destination is not determined.

  In addition, the provision part 33 can also set a destination based on the travel history of each taxi Tx, for example, when the customer expected value of the area which should be set to a destination is the same as another area.

  In such a case, the providing unit 33 sets an area in which the taxi Tx frequently travels as a destination. In other words, the providing unit 33 sets the area with the land instinct as the destination.

  As a result, it is possible to utilize the information on the area acquired by the driver empirically, so it is possible to travel an efficient route such as a back road based on the driver's experience.

  If the customer expected value of the area to be set as the destination is the same as that of the other area, the providing unit 33 sets the higher one of the customer expected values of the passing area as the destination. It is also good. In other words, the providing unit 33 may set the destination based on the sum of the customer expectation values of the plurality of areas.

  Next, the configuration of the terminal device 50 mounted on the taxi Tx will be described using FIG. FIG. 9 is a block diagram of the terminal device 50. As shown in FIG. As shown in FIG. 9, the terminal device 50 is connected to a meter 55 and a GPS (Global Positioning System) 56.

  The meter 55 is a so-called taxi meter, and measures the fare in a real vehicle. Further, the meter 55 transmits movement information indicating movement of the taxi Tx to the information providing device 1 via the terminal device 50. The GPS 56 detects the current location of the taxi Tx, and transmits it to the information providing device 1 via the terminal device 50.

  The terminal device 50 includes a communication unit 51, a control unit 52, a display unit 53, and an operation unit 54. The communication unit 51 is a communication interface that communicates with the information providing device 1 via the network N illustrated in FIG.

  The control unit 52 functions as a CPU that controls the entire terminal device 50. For example, the control unit 52 can control the display screen of the display unit 53, or change the display screen of the display unit 53 based on operation information input from the operation unit 54.

  The display unit 53 is, for example, a touch panel display, and the display screen is changed according to the control of the control unit 52. On the display screen, for example, a map image indicating the vicinity of the current location of the taxi Tx, a navigation screen indicating a route to the destination, and the like are displayed.

  In addition, the display unit 53 can also display a map image in which the display mode is changed for each area based on the customer expected value. The customer expectation value is transmitted from the information providing device 1 to the terminal device 50 at a predetermined cycle, for example.

  Here, a specific example of the display screen displayed on the display unit 53 will be described with reference to FIG. FIG. 10 is a diagram showing a specific example of the display screen. As shown in FIG. 10, for example, customer expectation values of the respective areas are visually highlighted and displayed on the display screen.

  Here, for convenience of explanation, it is indicated that the customer expected value is higher as the height of the cell displayed in each area is higher. However, in order to make the driver in operation more intuitively understand the customer expected value of each area, it is preferable to change the color for each area according to the customer expected value, for example. In this case, for example, as the customer expectation value becomes higher, the color of the area is sequentially changed from none → blue → yellow → red.

  As a result, the driver can see the display unit 53 and instantly grasp the customer expected value of each area. By the way, generally, the demand for taxis can be divided into daily demand and extraordinary demand.

  Extraordinary demand refers to extra demand for a specific area, such as train delays or holding events. On the other hand, the daily demand is, unlike the special demand, a demand that occurs almost regularly.

  In the information providing system 100 according to the embodiment, as shown in FIG. 10, it is also possible to change the display mode of the customer expected value according to the daily demand and the non-daily demand.

  In the example shown in FIG. 10, the customer expectation value based on the non-daily demand is hatched. This enables the driver to intuitively grasp the daily demand and the non-daily demand.

  In particular, by making inexperienced drivers understand daily demand and non-daily demand, empirically learn the distribution of daily demand and the distribution of non-daily demand. It becomes possible.

  That is, the information providing system 100 not only proposes a route but also helps the driver to learn an efficient route for picking up a passenger. This makes it possible to eliminate the variation in skill for finding passengers between drivers.

  Returning to the description of FIG. 9, the operation unit 54 will be described. The operation unit 54 is an interface that receives an operation from a user (driver). For example, the operation unit 54 receives a selection operation of “supply of demand information” of the communication registration function registered in advance in the terminal device 50.

  As a result, a request such as information on a passing area based on the customer expected value is transmitted from the terminal device 50 to the information providing device 1. Then, information based on the request is transmitted from the information providing device 1 to the terminal device 50. As a result, the driver can grasp an area having a high customer expectation value by a simple operation.

  The terminal device 50 may receive only the information based on the passing area from the information providing device 1 and set the route passing through each passing area by the terminal device 50. May be received from the

  Next, a processing procedure executed by the information providing device 1 according to the embodiment will be described using FIG. FIG. 11 is a flowchart showing the processing procedure executed by the information providing device 1.

  As shown in FIG. 11, first, the calculation unit 32 calculates a customer expected value for each area (step S101). Subsequently, the providing unit 33 determines whether there is a transmission request for information based on the customer expected value (step S102).

  Here, when there is a transmission request (step S102, Yes), the providing unit 33 determines whether or not the destination has already been set for the taxi Tx whose dynamics is an empty car (step S103). On the other hand, when there is no transmission request (No at Step S102), the calculation unit 32 continues the process at Step S101.

  Next, when the destination has not been set (No at Step S103), the providing unit 33 sets an area with the highest customer expectation value as the destination (Step S104). The providing unit 33 selects a passage area from the selection range La from the current location to the destination (step S105).

  When the destination is set (Yes at step S103), the providing unit 33 omits the process at step S104 and executes the process at step S105. Then, the providing unit 33 provides the recommended movement information to the terminal device 50 via the communication unit 2 (step S106), and ends the process.

  As described above, the information providing device 1 according to the embodiment includes the calculating unit 32 and the providing unit 33. The calculation unit 32 calculates a customer expected value indicating a substantial demand for each area based on the demand forecast value of the customer for each area and the number of supplies of the taxi Tx (an example of a mobile body) that can be supplied for each area. Do. The providing unit 33 provides the recommended movement information based on the customer expected value for each area calculated by the calculating unit 32. Therefore, according to the information providing device 1 according to the embodiment, it is possible to propose an efficient route.

  By the way, although embodiment provided above demonstrated the case where provision part 33 certainly selected a passage area, it is not limited to this. That is, the providing unit 33 may not necessarily select the passage area.

  Next, the details of this point will be described using FIG. FIG. 12 is a diagram showing processing by the providing unit 33 according to the modification. In addition, in FIG. 12, a temporal transition of a customer expected value is shown.

  As shown in FIG. 12, the provider 33 passes from time t0 (present) to a predetermined period later, for example, when the customer expectation value of the area adjacent to the taxi Tx is low and the customer expectation value can be expected thereafter Do not select an area.

  In this case, the providing unit 33 instructs the terminal device 50 (taxi Tx) to take a rest, instead of the process of selecting the passage area. The example shown in FIG. 12 shows the case where the customer expectation value is low in the period from time t0, which is the current time, to time t1, and the customer expectation value rises after time t1.

  For this reason, the providing unit 33 instructs rest from the time t0 to the time t1. This allows the driver to operate only during times when it is likely to pick up a passenger.

  That is, it is possible to improve the time efficiency of the driver. Further, in such a case, the driver can expect an effect of suppressing the fuel consumption of the taxi Tx by taking a rest.

  By the way, although the case where a mobile was taxi taxi was explained in the embodiment mentioned above, it is not limited to this. That is, the moving body may be a truck for transporting goods or another sales vehicle. Moreover, the information providing device 1 according to the embodiment can be applied by replacing the mobile body with a person.

  Further effects and modifications can be easily derived by those skilled in the art. Thus, the broader aspects of the invention are not limited to the specific details and representative embodiments represented and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and their equivalents.

DESCRIPTION OF SYMBOLS 1 information provision apparatus 32 calculation part 33 provision part 50 terminal device Tx taxi (an example of a moving body)

Claims (9)

A calculation unit that calculates a customer expected value indicating a substantial demand for each area based on the demand forecast value of the customer for each area and the supply number of mobiles that can be supplied for each area;
An information providing apparatus, comprising: a providing unit that provides recommended movement information based on the customer expected value for each area calculated by the calculating unit. The providing unit is
The information providing apparatus according to claim 1, wherein recommended movement destination information on the area of a recommended movement destination is provided as the recommended movement information. The providing unit is
The information providing apparatus according to claim 2, wherein recommended movement path information including the recommended movement destination is provided as the recommended movement information. The moving body is
Being a taxi,
The providing unit is
The information providing apparatus according to claim 1, 2 or 3, wherein the recommended movement information on the area within a predetermined range from the current location of the taxi is provided. The providing unit is
When the movement of the taxi is an empty car and the destination of the taxi is not set, the area having the highest customer expectation value within the predetermined range from the current location is set as the destination. The information provision apparatus according to claim 4. The calculation unit
The information providing apparatus according to any one of claims 1 to 5, wherein the customer expected value is calculated based on the customer's boarding history for each area. An information providing apparatus according to any one of claims 1 to 6.
An information providing system comprising: a terminal device mounted on the mobile unit and transmitting and receiving information to and from the information providing device. The terminal device is
Equipped with a display,
The display unit is
The display system is changed and displayed for every area based on the said customer expectation value. The information provision system of Claim 7 characterized by the above-mentioned. Calculating a customer expected value indicating a substantial demand for each area based on the demand forecast value of the customer for each area and the number of supplies of mobiles that can be supplied for each area;
A providing step of providing recommended movement information based on the customer expected value for each area calculated by the calculating step.

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