JP6982237B2 - Candidate position evaluation program, candidate position evaluation device, and candidate position evaluation method - Google Patents

Description

The present invention relates to a candidate position evaluation program, a candidate position evaluation device, and a candidate position evaluation method.

Regarding the location of company bases such as factories and business establishments, distribution bases such as distribution centers, and commercial facilities such as shopping centers, we pay close attention to the role of the facilities, productivity, demand conditions, transportation conditions, etc. Consideration is required.

For this reason, various proposals have been made on how to make a computer execute a process for selecting a place to install a facility. For example, when a company's business establishment is relocated or newly established, a method of presenting a candidate for a station to newly establish a business establishment based on the location information of the nearest station of an employee has been proposed (for example, Patent Document 1). reference).

Japanese Unexamined Patent Publication No. 2016-95706

In recent years, the flow of goods has increased due to the development of electronic commerce, and the importance of distribution bases such as distribution centers has increased. When considering the location of a distribution base, it is important to know the range in which the truck can move to or from the distribution base within a predetermined time.

However, even if the range in which the truck can move to the distribution base or the range in which the truck can move from the distribution base can be grasped within a predetermined time, the occurrence rate of traffic congestion differs between urban areas and rural areas, and the range is simply movable. It may not be appropriate to evaluate by size.

In one aspect, it is an object of the present invention to provide a candidate position evaluation program, a candidate position evaluation device, and a candidate position evaluation method that can facilitate the selection of a facility installation point by a user.

In one embodiment, the candidate position evaluation program accepts a candidate position for a facility installation point, a range in which the moving body can move from the candidate position within a certain time, and the candidate within the time. A computer is made to execute a process of specifying at least one of the movable ranges to the positions and calculating the index value of the candidate positions based on the number of predetermined target objects in the movable range.

In one aspect, it is possible to provide a candidate position evaluation program, a candidate position evaluation device, and a candidate position evaluation method that can facilitate the selection of a facility installation point by a user.

FIG. 1 is a block diagram showing a hardware configuration of the candidate position evaluation device in the first embodiment. FIG. 2 is a block diagram showing a functional configuration of the candidate position evaluation device in the first embodiment. FIG. 3 is a diagram showing an example of node data in road map data. FIG. 4 is a diagram showing an example of link data in road map data. FIG. 5 is a diagram showing an example of the farthest position data. FIG. 6 is a diagram showing an example of a population database. FIG. 7 is an explanatory diagram showing an example of a screen in the candidate position evaluation device. FIG. 8 is a diagram showing a screen in which a candidate position is designated in FIG. 7. FIG. 9 is a diagram showing an example of a screen displaying a history of address data at a candidate position. FIG. 10 is a diagram showing an example of a screen displaying a history of coordinate data at a candidate position. FIG. 11 is a diagram showing an example of a screen displaying the result of specifying the representative farthest position. FIG. 12 is a diagram showing a screen showing a movable range connecting the farthest positions displayed in FIG. 11 with a line. FIG. 13 is a diagram showing a screen in which a movable range displayed in FIG. 12 and a movable range obtained by another moving time are superimposed and displayed. FIG. 14 is a table showing an example of calculating the area of the movable range and the number of residents shown in FIG. 13 based on the population data of the administrative area. FIG. 15 is a table showing the results of calculating the area of the movable range and the number of residents in the travel time in addition to those shown in FIG. FIG. 16 is a diagram showing a screen displaying index values calculated from the area of the movable range and the number of residents shown in FIG. FIG. 17 is a flowchart showing an example of the flow of the process of accepting the candidate position and the moving time and specifying the farthest position. FIG. 18 is a flowchart showing an example of a process flow for specifying a range that can be moved by the movement time. FIG. 19 is a flowchart showing an example of a processing flow for calculating an index value of a candidate position based on a movable range. FIG. 20 is a diagram showing an example of a screen displaying a movable range when a predetermined target is a business establishment. FIG. 21 is a table showing an example of the result of calculating the area of the movable range and the number of business establishments in each travel time. FIG. 22 is a block diagram showing an example of a system configuration including a candidate position evaluation device and capable of acquiring travel history data. FIG. 23 is a block diagram showing an example of the functional configuration of the candidate position evaluation device in the second embodiment. FIG. 24 is a diagram showing an example of travel history data. FIG. 25A is a diagram showing an example of a screen displaying a movable range in the 7 o'clock range. FIG. 25B is a diagram showing an example of a screen displaying a movable range in the 8 o'clock range. FIG. 25C is a diagram showing an example of a screen displaying a movable range in the 9 o'clock range. FIG. 25D is a diagram showing an example of a screen displaying a movable range in the 23:00 range. FIG. 26 is a table showing the area of the movable range and the number of residents shown in FIGS. 25A to 25D. FIG. 27 is a flowchart showing an example of the flow of processing for specifying the farthest position based on the travel history data. FIG. 28 is a diagram showing an example of a method of calculating an index value based on a numerical value in a movable range and a numerical value in a commuting range. FIG. 29 is a diagram showing an example of a population index table. FIG. 30 is a diagram showing an example of a working population index table.

The candidate position evaluation device of the present invention identifies the range in which the moving body can move within a certain time from the candidate position of the facility installation point, and is an index of the candidate position based on the number of predetermined target objects in the movable range. By calculating the value, it is possible to facilitate the user's selection of the facility installation location.

Specifically, first, the candidate position evaluation device accepts the candidate position of the facility installation point.

Here, the candidate position of the facility installation point is a position where the user wants to install the facility for a predetermined purpose.
The facilities are not particularly limited and can be appropriately selected according to the purpose. For example, distribution bases such as distribution centers, company bases such as factories and business establishments, commercial facilities such as shopping centers, and day services can be selected. Examples include social welfare facilities such as nursing homes, ports, and airports.
Users include, for example, developers, construction consultants, national government agencies, local governments, and the like.
The candidate position can be accepted from the user on the map by a pointing device, a touch panel, or the like, and the address can be accepted by a keyboard or the like. Further, when the address is accepted from the user as the candidate position, for example, the center point of the range of the address may be obtained and used as the candidate position. The candidate position evaluation device converts the candidate position received from the user into, for example, a predetermined section closest to the accepted candidate position, a dividing position from the accepted candidate position to the nearest predetermined section, and the like.

The predetermined section means a predetermined section in which the moving body can move.
The moving body is not particularly limited as long as it can be moved, and can be appropriately selected according to the purpose. Examples of the moving body include vehicles such as automobiles and bicycles, ships such as commercial ships and fishing boats, aircraft such as manned aircraft and unmanned aerial vehicles, and people. Examples of automobiles include passenger cars and commercial vehicles. Examples of unmanned aerial vehicles include drones.
As a predetermined section, for example, if the moving body is a vehicle and the moving path is a road, between nodes having intersections, branch points, etc. as delimiter positions (nodes) as used in digital road maps and the like. Road sections (links) and the like can be mentioned. In addition, examples of the predetermined section include, for example, if the moving road is a road, a kilometer post or a road section divided by a predetermined length. If the moving body is a ship or an aircraft, the predetermined section may include a route from a departure point to a destination or a section in which an air route is divided into predetermined lengths.
The movement route (hereinafter, also referred to as “route”) described later has one or a plurality of predetermined sections.

The process of accepting is not particularly limited and may be appropriately selected according to the purpose. Examples thereof include a method of accepting information input from a user using a keyboard, a pointing device, a touch panel, or the like.

Next, the candidate position evaluation device specifies at least one of a range in which the moving body can move from the candidate position within a certain time and a range in which the moving body can move to the candidate position within a certain time.

Here, the range in which the moving body can move from the candidate position within a certain time means, for example, a range in which the truck can arrive from the distribution base in 30 minutes if the facility to be installed by the user is a distribution base. Further, the range in which the moving body can move to the candidate position within a certain time means, for example, a range in which the truck can reach the distribution base in 30 minutes if the facility to be installed by the user is a distribution base. The movable range is sometimes referred to as a "reach zone".

A certain time is the length of travel time from the candidate position or the length of travel time to the candidate position. For example, if the facility that the user wants to set up is a distribution base, the certain time corresponds to "30 minutes" when he / she wants to grasp the range that can be delivered in 30 minutes from the candidate position by truck. A certain time may be a predetermined time set in advance or a time specified by the user. The time is not particularly limited and may be appropriately selected depending on the purpose. For example, in the case of a facility installed in an urban area, 15 minutes, 30 minutes, 45 minutes and the like can be mentioned.

The method of specifying the range in which the moving body can move from the candidate position within a certain time is not particularly limited, and can be appropriately selected according to the purpose. As a method of specifying this movable range, for example, if the starting point is a predetermined section or a dividing position closest to the candidate position, the most straight line distance from the candidate position is the most in all routes that can be moved within a certain time from the starting point. Identify a distant position. In the following, the farthest position in one route may be referred to as the "farthest position". Next, among the farthest positions in the angle-specific range divided by predetermined angles around the candidate position, the representative farthest position farthest from the candidate position is obtained in the omnidirectional angle-specific range, and the adjacent representative farthest. An example is a method of specifying a range in which positions are connected by a line as a movable range.

The nearest predetermined section or division position with respect to the candidate position means the predetermined section or division position closest to the candidate position in a straight line distance.
As a method of finding all routes that can be traveled within a certain time from the starting point, for example, first, all routes that are longer than a certain time from the starting point are comprehensively found. Next, in each route, the travel time of the predetermined section is sequentially calculated from the predetermined section adjacent to the starting point, and the route from the starting point to the predetermined section before the predetermined section where the cumulative addition result is a certain time or more. There is a method of finding a route that can be moved in time.
The predetermined section adjacent to the starting point means, for example, a predetermined section adjacent to the predetermined section or the dividing position when the candidate position is converted into the predetermined section or the dividing position.
Further, the travel time means the time required for traveling from one end to the other end of a predetermined section. The travel time may be a value obtained by actually measuring the time or a value calculated from the section length of the predetermined section and the speed of the moving body in the predetermined section.

Examples of the speed of the moving body in the predetermined section include the legal speed of the predetermined section, the speed of the moving body included in the movement history data group, and the like.

Here, as the legal speed of the predetermined section, for example, if the moving body is a vehicle, the legal speed of the link and the like can be mentioned.
The movement history data group means a plurality of movement history data.
The movement history data is not particularly limited and can be appropriately selected according to the purpose, and includes, for example, the date and time, the day of the week, the time, the weather, etc. at which the position, speed, acceleration, etc. of the moving body are measured.
If the moving object is a vehicle, the movement history data is acquired by using a car navigation system mounted on a passenger car or the like, a digital tachograph mounted on a commercial vehicle or the like, or the like. If the moving object is a ship or an aircraft, it is acquired by using a nautical information recording device, a flight information recording device, or the like. If the moving object is a person, it is acquired by using a GPS (Global Positioning System) unit, a mobile terminal having an acceleration sensor, or the like. The weather data may be obtained separately from the Internet or the like based on the position and time of the moving object. The movement history data is acquired, for example, at predetermined time intervals. Examples of the predetermined time interval include 1-second intervals, 5-second intervals, 10-second intervals, and the like. The acquired movement history data is stored as a movement history data group in, for example, a predetermined database.
If the speed of the moving body in the predetermined section is the speed of the moving body included in the movement history data group, the candidate position evaluation device identifies the movable range based on the actual movement of the moving body. The movable range can be specified more accurately, and the index value can be calculated more accurately.

The method of specifying the range in which the moving body can move to the candidate position within a certain time is not particularly limited and can be appropriately selected according to the purpose. For example, the moving body can move from the candidate position within a certain time. The same method as the method of specifying the range can be mentioned.

Next, the candidate position evaluation device calculates an index value of the candidate position based on the number of predetermined target objects in the movable range.

Here, the number of predetermined target objects is not particularly limited and can be appropriately selected according to the purpose. For example, if the facility that the user wants to install is a distribution base, the number of delivery destinations from the distribution base. That is, the number of residents, the number of households, and the like can be mentioned. In addition, the number of predetermined objectives includes the number of large-scale distribution bases in the coastal area where goods are transported to the distribution bases. Further, for example, if the facility that the user wants to install is a business establishment or factory of a company, the number of predetermined objectives includes the number of residences of the employee.

The index value of the candidate position is a numerical value indicating the value of the candidate position when the facility is installed at the candidate position, and is a value referred to by the user for determining the point where the facility is installed.
The method for calculating the index value of the candidate position is not particularly limited and can be appropriately selected according to the purpose. For example, if the facility that the user wants to set up is a distribution base, the index value of the candidate position has good delivery efficiency if the range that can be moved within a predetermined time is large and the number of residents is large within the range that can be moved. Therefore, it may be calculated by multiplying the area of the movable range and the number of residents.

In this way, the candidate position evaluation device identifies the range in which the moving body can move within a certain time from the candidate position, and calculates the index value of the candidate position based on the number of predetermined target objects in the movable range. By doing so, it is possible to facilitate the selection of the facility installation point by the user.

In addition, the candidate position evaluation device calculates the number of residents in the movable range according to the area ratio of the predetermined area included in the movable range based on the population information surveyed in advance for each predetermined area. You may.

Here, the predetermined area is not particularly limited and can be appropriately selected according to the purpose. For example, an administrative area such as a country, a prefecture, a municipality, or an area divided by a predetermined length. A section (mesh) or the like can be mentioned.
The population information surveyed in advance is not particularly limited and can be appropriately selected according to the purpose. For example, the result of the national census can be mentioned.
As a method of calculating according to the area ratio of a predetermined area included in the movable range, for example, the total population of the predetermined area is 100,000, and the area ratio of the predetermined area included in the movable range is Consider the case of 30%. In this case, there is a method of calculating the population of a predetermined area included in the movable range as 30,000.
In this way, the candidate position evaluation device calculates the number of residents according to the area ratio of the predetermined area included in the movable range based on the population information surveyed in advance for each predetermined area. The index value can be calculated more accurately.

In addition, the candidate position evaluation device first accepts further commuting time, identifies the range where commuting is possible at the candidate position within the commuting time, and makes it within the range where commuting is possible based on the population information surveyed in advance for each predetermined area. Calculate the number of residents who can commute according to the area ratio of the included area. Next, the candidate position evaluation device may calculate the index value based on the number of resident who can commute in addition to the number of predetermined target objects.

Here, the commuting time means the commuting time to the facility at the candidate position.
The range in which commuting to the candidate position is possible is, for example, a range in which the commuting time is set to 30 minutes and the candidate position can be reached by a passenger car, transportation, or the like in 30 minutes.
The method for specifying the commuting range is not particularly limited and may be appropriately selected depending on the purpose. For example, the above-mentioned method for specifying the movable range may be mentioned.
In this way, the candidate position evaluation device can easily secure employees working in the facility by calculating the index value based on the number of resident who can commute in addition to the number of predetermined target objects. Can be incorporated into.
The number of residents who can commute may be limited to 15 to 65 years old. As a result, the candidate position evaluation device can more accurately determine the number of residents who can commute, and can calculate a more accurate index value of the candidate position.

Further, the candidate position evaluation device further accepts at least one of the date and time, the day of the week, and the weather, and specifies the movable range based on the movement history data group corresponding to at least one of the accepted date and time, the day of the week, and the weather. You may.

Here, the date and time, the day of the week, and the weather are the date and time, the day of the week, and the weather specified by the user.
The movement history data group of the moving object corresponding to at least one of the received date and time, the day of the week, and the weather is that the movement history data includes the items of the date and time, the day of the week, and the weather, and corresponds to the received items. It means a group from which movement history data is extracted. For example, when the user specifies a sunny day on a weekday, the movement history data acquired on the sunny day on a weekday is extracted and made into a group. In addition, useful results can be obtained by calculating and comparing index values by combining the weather with the date and time or the day of the week. For example, by calculating and comparing the index value of a snowy day on weekdays and the index value of a sunny day on weekdays at the same candidate position, the adaptability to the change of weather in the facility installed at the candidate position can be obtained. Can be evaluated. In addition, by calculating and comparing the index values for sunny days on consecutive holidays and the index values for sunny days on weekdays, where congestion is likely to occur in various places, adaptation to changes in traffic conditions at facilities installed at candidate locations You can evaluate the power.
In this way, the candidate position evaluation device can specify the movable range based on the actual environment by specifying the movable range based on the movement history data corresponding to various conditions such as the weather, and the index value. Can be calculated more accurately. In addition, the user can evaluate the adaptability to various conditions in the facility installed at the candidate position by comparing the index values under various conditions.

Further, when the number of the extracted movement history data is not more than a predetermined number, the candidate position evaluation device may be expanded to a range of a predetermined size including the accepted candidate position.
As a result, the candidate position evaluation device can increase the number of movement history data to a predetermined number, secure a sufficient number of travel history data, and can present the position of the moving body with high accuracy.

Various processes performed by the candidate position evaluation device are executed by a computer having a control unit constituting the candidate position evaluation device.
The computer is not particularly limited as long as it is a device equipped with devices such as storage, calculation, and control, and can be appropriately selected according to the purpose. Examples thereof include personal computers.

Hereinafter, an embodiment of the present invention will be described, but the present invention is not limited to this embodiment.
In this embodiment, the travel time as "a certain time" is specified by the user, but the present invention is not limited to this, and if the travel time is not specified by the user, a preset initial value is used. It is also possible to perform transformations such as executing subsequent operations with the travel time as the travel time.

(First Example)
In the first embodiment, the candidate position and the travel time are specified with the facility to be installed by the user as the distribution base, the range in which the vehicle can move from the candidate position within the travel time is specified based on the legal speed of the road, and the vehicle moves. An example of calculating the index value of the candidate position based on the number of residents in the possible range will be described. For this reason, the facility will be referred to as a distribution base, the mobile body will be referred to as a vehicle, and the number of predetermined target objects will be appropriately read as the number of residents who are the delivery destinations.

(Candidate position evaluation device)
<Hardware configuration of candidate position evaluation device>
FIG. 1 is a block diagram showing an example of the hardware configuration of the candidate position evaluation device 100 in the first embodiment.
As shown in FIG. 1, the candidate position evaluation device 100 has the following parts. Each part is connected via a bus 107.

The CPU (Central Processing Unit) 101 is a processing device that performs various controls and calculations. The CPU 101 realizes various functions by executing an OS (Operating System) or a program stored in the main storage device 102 or the like. That is, in this embodiment, the CPU 101 functions as a control unit 140, which will be described later, by executing the candidate position evaluation program.
The candidate position evaluation program does not necessarily have to be stored in the main storage device 102, the auxiliary storage device 103, or the like from the beginning. Further, the candidate position evaluation program is stored in another information processing device or the like connected to the candidate position evaluation device 100 via the Internet or the like, and the candidate position evaluation device 100 acquires and executes the candidate position evaluation program from these. You may do it.

Further, the CPU 101 controls the operation of the entire candidate position evaluation device 100. In this embodiment, the device that controls the operation of the candidate position evaluation device 100 as a whole is the CPU 101, but the device is not limited to this, and may be, for example, an FPGA (Field Programmable Gate Array).

The main storage device 102 stores various programs and stores data and the like necessary for executing various programs.
The main storage device 102 has a ROM (Read Only Memory) and a RAM (Random Access Memory) (not shown).
The ROM stores various programs such as BIOS (Basic Input / Output System).
The RAM functions as a work range expanded when various programs stored in the ROM are executed by the CPU 101. The RAM is not particularly limited and may be appropriately selected according to the purpose. Examples of the RAM include DRAM (Dynamic Random Access Memory) and SRAM (Static Random Access Memory).

The auxiliary storage device 103 is not particularly limited as long as it can store various types of information, and can be appropriately selected depending on the intended purpose. Examples thereof include a solid state drive and a hard disk drive. Further, the auxiliary storage device 103 may be a portable storage device such as a CD (Compact Disc) drive, a DVD (Digital Versaille Disc) drive, or a BD (Blu-ray (registered trademark) Disc) drive.

The communication interface 104 is not particularly limited, and a known one can be used as appropriate. Examples thereof include a communication device using wireless or wired communication.

The input device 105 is not particularly limited as long as it can accept various requests for the candidate position evaluation device 100, and a known input device 105 can be used as appropriate, and examples thereof include a keyboard, a mouse, and a touch panel.

The output device 106 is not particularly limited, and a known output device 106 can be used as appropriate, and examples thereof include a display and a speaker. The display is not particularly limited, and a known display can be used as appropriate, and examples thereof include a liquid crystal display and an organic EL display.

The candidate position evaluation device 100 may be a part of a cloud, which is a group of computers on the network.

<Functional configuration of candidate position evaluation device>
FIG. 2 is a block diagram showing an example of the functional configuration of the candidate position evaluation device 100 in the first embodiment.
As shown in FIG. 2, the candidate position evaluation device 100 includes a communication unit 110, a storage unit 120, an input unit 130, and a control unit 140.

The communication unit 110 receives various data from other communicable information processing devices using the communication interface 104 based on the instruction of the control unit 140.

The storage unit 120 has a road map database 121, a farthest position database 122, and a population database 123 in the auxiliary storage device 103. Hereinafter, the "database" may be referred to as a "DB".

FIG. 3 is a diagram showing an example of node data in the road map data stored in advance in the road map DB 121.
As shown in FIG. 3, the node data indicating an intersection, a branch point, or the like in the road map data includes data items of "node number" and "node position (latitude, longitude)" in this embodiment.
The data item of "node number" is a number for identifying a node in this embodiment.
The data item of "node position (latitude, longitude)" is the latitude / longitude indicating the position of the node in this embodiment.

FIG. 4 is a diagram showing an example of link data in the road map data stored in advance in the road map DB 121.
As shown in FIG. 4, the link data as a road section in the road map data includes data items of "link number", "link position", and "link length" in this embodiment.
The data item of "link number" is a number for identifying a link in this embodiment.
The data item of "link position" indicates the positions of both ends of the link in this embodiment. In this embodiment, the positions at both ends of the link are shown as the positions (latitude, longitude) of the nodes at both ends of the link. When the shape of the link is not a straight line, the positions (latitude, longitude) of the complementary points as inflection points are shown in addition to the positions of the nodes at both ends of the link. In this embodiment, as shown in FIG. 4, one complementary point is described, but a plurality of complementary points may be described.
The data item of "link length" indicates the distance from one end to the other end of the link in this embodiment.

FIG. 5 is a diagram showing an example of the farthest position data stored in the farthest position DB 122.
As shown in FIG. 5, the farthest position data is the data of the farthest position specified in one route in this embodiment, and is the “route number”, “farthest position (longitude, latitude)”, and “candidate”. Includes data items for "distance from position" and "angle from candidate position".
The data item of "route number" is a number for identifying a route in this embodiment.
The data item of "farthest position (latitude, route)" indicates the specified farthest position in latitude and longitude in this embodiment.
The data item of "distance from the candidate position" is the distance from the candidate position to the farthest position in this embodiment.
In this embodiment, the data item of "angle from the candidate position" is the angle when the farthest position is viewed from the candidate position when the east direction is 0 ° with the candidate position as the center in the road map.

FIG. 6 is a diagram showing an example of population data stored in advance in the population DB 123.
As shown in FIG. 6, in this embodiment, the population data is data on the population and area of each administrative area of a municipality, and includes data items of “administrative area name”, “population”, and “area”.
In this embodiment, the data item of "administrative area name" is shown by the name of the administrative area for each municipality.
The data item of "population" is the population of each municipality in this embodiment.
The data item of "area" is the area of each municipality in this embodiment.

Returning to FIG. 2, the input unit 130 receives the candidate position from the user, the movement time as a “certain time”, and various instructions to the candidate position evaluation device 100.

<< Control unit >>
The control unit 140 includes a specific unit 141 and a calculation unit 142.
The identification unit 141 specifies a range in which the vehicle can move from the candidate position within the travel time based on the road map data.
The calculation unit 142 calculates the index value of the candidate position based on the number of residents in the movable range.
The specific operations of the specific unit 141 and the calculation unit 142 will be described later in the description of the following flowchart.

Next, the screen user interface used in this embodiment will be described, and a method of calculating the index value of the candidate position will also be described.
FIG. 7 is an explanatory diagram showing an example of the screen 500 in the candidate position evaluation device 100.
As shown in FIG. 7, the screen 500 has a map display area 501, a registered name input field 502, a candidate position display field 503, a movement time designation field 504, a target target designation field 505, and a data type designation field. 506 and a detailed condition designation column 507 are provided. Further, the screen 500 is provided with an index value display field 508, an execution button 509, and a history display button 510. The explanation of the month / day / time zone designation column 507a, the day of the week designation column 507b, and the weather designation column 507c in the detailed condition designation column 507 will be described later.

The map display area 501 is an area for displaying a road map, and in this embodiment, it is an area for receiving a candidate position with the mouse pointer p and displaying a specified movable range or the like. Further, the map display area 501 is provided with an enlargement / reduction display button for enlarging / reducing the displayed road map.
When the user drags the map display area 501, the candidate position evaluation device 100 appropriately changes the range of the road map displayed in the map display area 501. Further, the candidate position evaluation device 100 accepts the candidate position when the user clicks the map display area 501.
In addition to the road map, the candidate position evaluation device 100 may appropriately display information such as road peripheral facilities and signals in the map display area 501 according to the purpose.

The registered name input field 502 is a field for the user to input the registered name. When the user inputs the registered name and the candidate position evaluation device 100 displays the registered name in the history, it becomes easy for the user to call the past evaluation conditions.
Note that FIG. 7 shows an example in which the user inputs the registered name as “Survey 1”.

The candidate position display field 503 is a field for displaying the address, latitude / longitude, name, etc. of the candidate position where the user clicks the map display area 501. In the candidate position display field 503, the user may input the address, latitude / longitude, name, etc. of the candidate position using a keyboard or the like.

The movement time designation field 504 is a field for designating the movement time in the movable range to be displayed in the map display area 501. In this embodiment, the travel time designation field 504 is provided with a check box for selecting at least one of 15 minutes, 30 minutes, and 45 minutes for the travel time.

The target object designation column 505 is a column for designating a predetermined target object to be counted within a movable range when calculating an index value. In this embodiment, the purpose target designation column 505 is provided with a check box in which at least one of a resident and a large-scale distribution base in the coastal area can be selected.

The data type designation column 506 is a column for designating the type of data used when specifying the movable range, that is, when calculating the index value. In this embodiment, the data type designation field 506 is provided with a check box in which either "legal speed" or "travel history data" can be selected, and "legal speed" is checked. The case where "driving history data" is checked will be described later.

The index value display column 508 is a column for displaying the calculated index value.

When the execution button 509 is pressed by the user, the candidate position evaluation device 100 executes a process of calculating an index value under the conditions set in the above columns and the like.

When the history display button 510 is pressed by the user, the position information of the address and the latitude / longitude at the candidate position designated by the user in the past is displayed on the screen 500.

FIG. 8 is a diagram showing an example of a screen in which a candidate position P is specified by clicking the map display area 501 with the mouse pointer p in FIG. 7.
As shown in FIG. 8, when the candidate position P is designated by the mouse pointer p, the candidate position evaluation device 100 displays the address and coordinates of the candidate position P based on the road map data stored in the road map DB 121. Displayed in column 503. Further, as shown in FIG. 9 or FIG. 10, the history of the address and longitude / latitude data of the designated candidate position P is saved in the storage unit 120, and when the user clicks the history display button 510, the address and coordinate data are stored. View the history of.

FIG. 11 is a diagram showing an example of a screen displaying the result of specifying the representative farthest position O having a movement time of “15 minutes”.
FIG. 12 is a diagram showing an example of a screen in which the representative farthest position O of FIG. 11 is connected by a line and the range 600a that can be moved in “15 minutes” is displayed.
FIG. 13 shows the range 600a that can be moved in “15 minutes” and the range 600b that can be moved in “45 minutes” as shown in FIGS. 11 and 12. It is a figure which shows an example of the displayed screen.

FIG. 14 is a table showing an example of calculating the population within the movable range in “45 minutes” shown in FIG. 13 based on the population data of the administrative area.
As shown in FIG. 14, the area of the movable range and the number of residents are read from the population data, and the population within the movable range from the overlap ratio between the ward and the movable range, that is, the residents in the movable range. Calculate the number of people.
The method for calculating the overlap ratio is not particularly limited and may be appropriately selected depending on the purpose. For example, a method by overlay analysis of polygons on a map may be mentioned.

FIG. 15 is a table showing the results of calculating the area of the movable range and the number of residents within the travel time in addition to those shown in FIG.
As shown by calculating and showing the area of the range that can be moved in "45 minutes" and the number of residents in FIG. 14, in FIG. 15, the area of the range that can be further moved in "15 minutes" and "30 minutes" and the area of the range that can be moved in "30 minutes". The result of calculating the number of residents is shown.

FIG. 16 is a diagram showing a screen displaying index values calculated from the area of the movable range and the number of residents shown in FIG.
In this embodiment, the index value displayed in FIG. 16 is obtained by multiplying the area of the movable range (km ² ) and the number of residents (10,000 people) in each travel time, and using the sum as the index value. Specifically, the index value is based on the value shown in FIG. 15 and has the following equation: {38.6 (km ² ) × 35.91 (10,000 people)} + {72.8 (km ² ) × 65. It was calculated by 32 (10,000 people)} + {108.2 (km ² ) × 92.99 (10,000 people)} = 16,203.

Next, the flow of the process of accepting the candidate position and the moving time and specifying the farthest position, the process of specifying the movable range within the moving time, and the process of calculating the index value of the candidate position will be described.

FIG. 17 is a flowchart showing an example of the flow of the process of accepting the candidate position and the moving time and specifying the farthest position.
Here, the flow of specifying the farthest position for each movable route within the travel time based on the road map data will be described according to the flowchart shown in FIG.

In step S101, in this embodiment, the control unit 140 receives the registered name, the candidate position, and the movement time from the user by the input unit 130, and shifts the process to S102.
Further, in this embodiment, since the travel time set by the user is 15 minutes, 30 minutes, and 45 minutes, the control unit 140 processes the loop 1 from S102 to S108 at the respective set travel times. conduct.

In step S102, the control unit 140 identifies the link closest to the candidate position (hereinafter, may be referred to as “candidate link”) from the road map data stored in the road map DB 121, and shifts the process to S103. ..

In step S103, when the control unit 140 shifts from S102 or S108, the processing target for calculating the travel time of the link is set to the link adjacent to the candidate link, and the processing shifts to S104. When the control unit 140 shifts from S105, the processing target for calculating the travel time of the link is a link adjacent to the link being processed, and the processing shifts to S104.

In step S104, the control unit 140 reads the link length and the legal speed of the link to be processed from the road map data stored in the road map DB 121, calculates the travel time of the link, and cumulatively adds them, and processes S105. Move to.

In step S105, the control unit 140 determines whether or not the cumulatively added travel time is equal to or longer than the set travel time. When the control unit 140 determines that the cumulatively added travel time is equal to or longer than the set travel time, the process shifts to S106, and when it determines that the cumulatively added travel time is less than the set travel time, the process shifts to S103. return.

In step S106, the control unit 140 identifies the farthest position from the candidate link in the route to the link before the link determined that the cumulatively added travel time is equal to or longer than the travel time, and determines the farthest position DB 122. After saving, the process shifts to S107.

In step S107, the control unit 140 determines whether or not there is another route from the candidate position. When the control unit 140 determines that there is another route from the candidate position, the control unit 140 shifts the process to S108. When the control unit 140 determines that there is no other route from the candidate position, the control unit 140 returns the process to S102 if the process of the loop 1 is not completed, and ends the present process when the process of the loop 1 is completed.

In step S108, the control unit 140 returns the process to the candidate link and shifts the process to S103.

As a result, the control unit 140 identifies the farthest position for each route that can be moved within the travel time based on the road map data.

FIG. 18 is a flowchart showing an example of a process flow for specifying a movable range within the moving time.
Here, a flow of specifying the representative farthest position of the range according to the angle from the farthest position of each route and specifying the movable range within the moving time will be described according to the flowchart shown in FIG. In this embodiment, the control unit 140 processes the loop 2 from S201 to S206 in the set travel time because the travel time set by the user is 15 minutes, 30 minutes, and 45 minutes. ..

In step S201, the control unit 140 calculates the distance and angle from the candidate position at the farthest position of each route, stores them in the farthest position DB 122, and shifts the process to S202.

In step S202, the control unit 140 identifies the farthest representative farthest position among the farthest positions and saves it in the farthest position DB 122 in each angle range in which all directions are divided at 1 ° intervals around the candidate position. Then, the process is transferred to S203.

In step S203, the control unit 140 determines whether or not the representative farthest position exists within + 1 ° from the maximum angle of the angle-specific range being processed. When the control unit 140 determines that the representative farthest position exists within + 1 ° from the maximum angle of the angle-specific range during processing, the control unit 140 shifts the processing to S204 and represents within + 1 ° from the maximum angle of the angle-specific range during processing. If it is determined that the farthest position does not exist, the process shifts to S205.
Further, the loop 3 from S203 to S204 or S205 is processed in the range of each angle in all directions, and the representative farthest position is sequentially connected by a line.

In step S204, the control unit 140 connects the representative farthest position of the angle-specific range being processed and the representative farthest position within + 1 ° from the maximum angle of the angle-specific range being processed by a line. Here, if the processing of the loop 3 is not completed, the processing is returned to S203, and if the processing of the loop 3 is completed, the processing is transferred to S206.

In step S205, the control unit 140 connects the representative farthest position in the range for each angle during processing and the candidate position with a line. Here, if the processing of the loop 3 is not completed, the processing is returned to S203, and if the processing of the loop 3 is completed, the processing is transferred to S206.

In step S206, the control unit 140 connects the representative farthest position and the adjacent representative farthest position with a line, or connects the representative farthest position with the candidate position with a line, and specifies the range connected by the line as a movable range. Then, the process is transferred to S202. Here, if the processing of the loop 2, that is, the processing of the set number of movement times is not completed, the processing is returned to S201, and if the processing of the loop 2 is completed, the main processing is terminated.

In this way, the control unit 140 can specify the movable range by finding the farthest representative farthest position in the range of each angle among the farthest positions of each route and connecting the adjacent representative farthest positions with a line. ..

FIG. 19 is a flowchart showing an example of a processing flow for calculating an index value of a candidate position based on a movable range.
Here, the flow of calculating the index value of the candidate position based on the area of the movable range of the candidate position evaluation device 100 and the number of residents will be described according to the flowchart shown in FIG.

In step S301, when the control unit 140 calculates the area of the movable range and the number of residents, the process shifts to S302.
Further, in the present embodiment, since the movement time set by the user is 15 minutes, 30 minutes, and 45 minutes, the control unit 140 processes the loop 4 that performs S301 for each set movement time. ..

In step S302, when the control unit 140 calculates the index value of the candidate position based on the area of the movable range and the number of residents, the process shifts to S303.

In step S303, when the control unit 140 displays the index value of the candidate position, the present process ends.

In this way, the candidate position evaluation device identifies the range in which the moving body can move within the moving time from the candidate position, and calculates the index value of the candidate position based on the number of predetermined target objects in the movable range. This makes it possible for the user to easily select the facility installation location.

In this embodiment, the target to be delivered from the distribution base is a resident, but the target is not limited to this, and as shown in FIGS. 20 and 21, the target to be delivered from the distribution base is the business establishment C such as a company. , The index value may be calculated by using the number of predetermined target objects as the number of establishments C.

(Second Example)
In the first embodiment, the candidate position evaluation device 100 calculates the travel time using the speed of the moving object as the legal speed, cumulatively adds the travel time, obtains a route that can be moved within the travel time, and determines the farthest position in the route. I tried to specify. In the second embodiment, the candidate position evaluation device 100 calculates and cumulatively adds the average travel time using the speed of the moving object as the speed of the travel history data, obtains a route that can be moved within the travel time, and finds a route within the route. Identify the farthest position.
As a result, the candidate position evaluation device 100 of the second embodiment can more accurately specify the movable range by specifying the farthest position based on the actual movement of the moving body, and can determine the index value. It can be calculated more accurately.
Hereinafter, the specification of the farthest position based on the travel history data and the travel history data, which is different from the first embodiment, will be described.

FIG. 22 is a block diagram showing a configuration of a system 10 including a candidate position evaluation device 100 and capable of acquiring travel history data.
As shown in FIG. 22, the system 10 includes a candidate position evaluation device 100 of the present invention and terminal devices 200a, 200b, 200c, ... Mounted on vehicles A, B, C, ..., Respectively. However, they are connected to each other via the network 300 so that they can communicate with each other.
The candidate position evaluation device 100 acquires and stores travel history data from the terminal devices 200a, 200b, 200c, ... Mounted on the vehicles A, B, C, ..., Respectively.
Since the hardware configuration of the candidate position evaluation device 100 is the same as that of the first embodiment, the description thereof will be omitted.

Since the terminal devices 200a, 200b, 200c, ... Are the same in terms of the configuration of the devices, they will be collectively referred to as "terminal device 200" below.
The terminal device 200 is not particularly limited and may be appropriately selected depending on the intended purpose. Examples thereof include a digital tachograph and an in-vehicle device of a car navigation system.

(Candidate position evaluation device)
<Functional configuration of candidate position evaluation device>
FIG. 23 is a block diagram showing an example of the functional configuration of the candidate position evaluation device 100 in the second embodiment.
As shown in FIG. 23, as in the first embodiment, the candidate position evaluation device 100 includes a communication unit 110, a storage unit 120, an input unit 130, and a control unit 140.

The communication unit 110 receives travel history data from each terminal device 200 using the communication interface 104 based on the instruction of the control unit 140.

The storage unit 120 has a road map DB 121, a farthest position DB 122, and a population DB 123, as in the first embodiment, and further has a travel history DB 124 in the second embodiment. Although the travel history DB 124 is assumed to be possessed by the storage unit 120 in the second embodiment, the traveling history DB 124 is not limited to this, and may be stored in the storage unit of another information processing device capable of communication.
The travel history DB 124 stores the travel history data received by the communication unit 110 as a travel history data group.

FIG. 24 is a diagram showing an example of a data structure of travel history data.
As shown in FIG. 24, in this embodiment, the travel history data is "vehicle ID, trip ID, acquisition date / time, position (longitude, latitude), speed, departure date / time, departure place (longitude, latitude), arrival date / time, purpose". Includes data items for "target (longitude, latitude)".

In this embodiment, the data item of the "vehicle ID" is data for identifying the vehicle on which the terminal device 200 is mounted, and is set in advance.
In this embodiment, the data item of "trip ID" is data for identifying a trip which is a unit for moving from a certain departure place to a certain arrival place with a purpose.
In this embodiment, the data items of "acquisition date and time" and "position information (longitude, latitude)" are acquired by a GPS (Global Positioning System) unit mounted on the terminal device 200.
In this embodiment, the data item of "speed" is the result of synchronization with the GPS unit and measurement from the axle of the vehicle using the speed sensor included in the terminal device 200.
The data items of "departure date and time" and "departure place (longitude, latitude)" are the departure date and time of the trip and the longitude and latitude of the departure place in this embodiment.
The data items of "arrival date and time" and "target object (longitude, latitude)" are the arrival date and time of the trip and the longitude and latitude of the target object in this embodiment.

Returning to FIG. 23, the input unit 130 receives the candidate position and the movement time from the user, and also receives various instructions to the candidate position evaluation device 100.
As various instructions to be input, extraction conditions for extracting travel history data can be included. As the extraction condition, the type of vehicle and the time element can be mentioned. Examples of the vehicle type include commercial vehicles, general vehicles, large vehicles, medium-sized vehicles, ordinary vehicles, and the like. Examples of the time element include information corresponding to at least one of a date, a day of the week, and a time zone, or the latest predetermined time range.

<< Control unit >>
The control unit 140 has a specific unit 141 and a calculation unit 142 as in the first embodiment, and further has an extraction unit 143 in the second embodiment.

The extraction unit 143 extracts the travel history data in which the vehicle has passed the candidate position from the travel history data group.
Here, the travel history data in which the vehicle has passed the candidate position is the travel history data in which the candidate position exists on or near the line connecting the points of the travel history data sequentially acquired at predetermined time intervals. Means. As a method of determining whether or not the moving body has passed the candidate position, for example, the determination is made based on the distance from the line connecting the points of the travel history data sequentially acquired at predetermined time intervals to the candidate position. The method etc. can be mentioned.
The extraction process is not particularly limited as long as it is a process of extracting data satisfying a predetermined condition from a population of data or a process of extracting and processing the data, and can be appropriately selected depending on the purpose.

Further, as shown in FIGS. 25A to 25D and 26, the movable range expands and contracts depending on the time zone designated by the user. 25A shows the movable range of 7 o'clock, 25B shows the movable range of 8 o'clock, 25C shows the movable range of 9 o'clock, and 25D shows the movable range of 23:00. FIG. 26 shows the area of the movable range and the movable range. Shows the number of residents.
In this way, since the movable range expands and contracts depending on the time zone, the extraction unit 143 extracts the travel history data corresponding to the time zone specified by the user from the movement history data including the acquisition time, and the specific unit 141 extracts the travel history data. The range of movement corresponding to the time zone can be specified.

In the first embodiment, the specific unit 141 specifies a movable range based on the road map data, but in the second embodiment, the vehicle can move from the candidate position within the travel time based on the travel history data. Specify a range.

In the first embodiment, the calculation unit 142 calculates the travel time from the legal speed, but in the second embodiment, the calculation unit 142 calculates the average travel time from the speed of the vehicle included in the extracted travel history data. The average travel time means the average time taken for the moving body to move from one end to the other end of the predetermined section based on the extracted movement history data.
Further, the calculation unit 142 of the second embodiment calculates the index value of the candidate position based on the area of the movable range and the number of residents specified by using the travel history data.

Next, returning to FIG. 7, the screen user interface used in the second embodiment will be described. Since the screen 500 to the data type designation field 506 and the index value display field 508 to the history display button 510 are the same as those in the first embodiment, the description thereof will be omitted.

The detailed condition designation column 507 is a column in which the user can specify at least one of the date and time, the day of the week, and the weather when using the travel history data.

The month / day / time zone designation column 507a is a column in which the user can specify the acquisition date and time zone of the travel history data used when specifying the farthest position. In this embodiment, the month / day / time zone designation field 507a is provided with a pull-down box in which the month / day / time zone can be selected.

The day of the week designation field 507b is a field in which the user can specify the acquisition day of the travel history data used when specifying the farthest position. In this embodiment, the day of the week designation field 507b is provided with a pull-down box in which the day of the week can be selected.

The weather designation column 507c is a column in which the user can specify the weather when the travel history data used for specifying the farthest position is acquired. In this embodiment, the weather designation field 507c is provided with a pull-down box in which the weather can be selected.

In this way, the candidate position evaluation device 100 accurately calculates the index value of the candidate position by specifying the movable range using the travel history data including the acquired information such as the date and time, the day of the week, and the weather. Can be done.

Next, returning to FIG. 22, the terminal device 200 connected to the candidate position evaluation device 100 via the network 300 will be described.

The terminal device 200 includes a GPS unit, a speed sensor, an acceleration sensor, and the like. The terminal device 200 acquires travel history data by associating the position and speed of the vehicle during travel acquired by synchronizing the GPS unit and the speed sensor with the synchronized time. The terminal device 200 transmits the acquired travel history data to the candidate position evaluation device 100 via the network 300.

FIG. 27 is a flowchart showing an example of the flow of processing for specifying the farthest position based on the travel history data.
Here, the flow of specifying the farthest position for each movable route within the travel time based on the travel history data will be described according to the flowchart shown in FIG. 27.
Since S401 and S402 are the same as S101 and S102 in FIG. 17, the description thereof will be omitted. Further, in this embodiment, since the travel time set by the user is 15 minutes, 30 minutes, and 45 minutes, the control unit 140 processes the loop 5 from S402 to S414 at the respective set travel times. conduct.

In step S403, the control unit 140 that identifies the candidate link extracts the travel history data of the vehicle that has passed the candidate link, and shifts the processing to S404.

In step S404, the control unit 140 determines whether or not the number of extracted travel history data is a predetermined number or more. When the control unit 140 determines that the number of the extracted travel history data is equal to or greater than a predetermined number, the control unit 140 shifts the process to S409. When the control unit 140 determines that the number of the extracted travel history data is not equal to or more than a predetermined number, the control unit 140 shifts the process to S405.

In step S405, the control unit 140 determines whether or not it has already been set in the designated range including the designated position from the initially set designated position. When the control unit 140 determines that it has not yet been set in the designated range including the designated position from the initially set designated position, the control unit 140 shifts the process to S406. When the control unit 140 determines that it has already been set in the designated range including the designated position from the initially set designated position, the control unit 140 shifts the process to S407.

In step S406, when the control unit 140 sets a designated range of a predetermined radius centered on the designated position, the process shifts to S408.

In step S407, when the radius of the designated range already set is expanded, the control unit 140 shifts the process to S408.

In step S408, when the control unit 140 specifies the link number in the link closest to the designated position or the link within the designated range from the road map DB 121, the process returns to S403.

In step S409, when the control unit 140 shifts from S404 or S414, the processing target for calculating the travel time of the link is set to the link adjacent to the candidate link, and the processing shifts to S410. When the control unit 140 shifts from S411, the processing target for calculating the travel time of the link is a link adjacent to the link being processed, and the processing shifts to S410.

In step S410, the control unit 140 calculates and accumulates the average travel time of the link based on the link length of the processing target read from the road map DB 121 and the speed of the vehicle included in the travel history data read from the travel history DB 124. Addition is performed, and the process shifts to S411.

In step S411, the control unit 140 determines whether or not the cumulatively added average travel time is equal to or longer than the set travel time. When the control unit 140 determines that the cumulatively added average travel time is equal to or longer than the set travel time, the control unit 140 shifts the process to S412. When the control unit 140 determines that the cumulatively added average travel time is less than the set travel time, the control unit 140 returns the process to S409.

In step S412, the control unit 140 identifies the farthest position from the candidate link in the route to the link before the link determined that the cumulatively added average travel time is equal to or longer than the travel time, and determines the farthest position DB 122. After saving, the process shifts to S413.

In step S413, the control unit 140 determines whether or not there is another route from the candidate position. When the control unit 140 determines that there is another route from the candidate position, the control unit 140 shifts the process to S414. When the control unit 140 determines that there is no other route from the candidate position, the control unit 140 returns the process to S402 if the process of the loop 5 is not completed, and ends the present process when the process of the loop 5 is completed.

In step S414, the control unit 140 returns the process to the candidate link and shifts the process to S409.

As described above, in the first embodiment, the auxiliary position evaluation device specifies the farthest position based on the legal speed, but in the second embodiment, the farthest position is based on the actual movement of the moving body. By specifying the position, the movable range can be specified more accurately, and the index value can be calculated more accurately.

(Third Example)
In the third embodiment, the index value of the candidate position is not calculated based only on the parameters of the movable range as in the first embodiment or the second embodiment, but the parameters of the commuting range are further calculated. Also, the index value of the candidate position is calculated.
As a result, the candidate position evaluation device can calculate the index value considering that it is easy to secure the employees working in the facility.

In the third embodiment, since the specification of the farthest position and the specification of the movable range are the same as those in the first embodiment or the second embodiment, only the method of calculating the index value will be described.
FIG. 28 is a diagram showing an example of a method of calculating an index value based on a numerical value in a movable range and a numerical value in a commuting range.
As shown in FIG. 28, the area of the movable range and the number of residents at each travel time are multiplied, and the sum of them, “16,203”, is preset as shown in FIG. 29. With reference to the population index table, the integrated index value "88" for residents can be obtained.
Next, referring to the number of resident who can commute as the number of residents within the range that can be moved in 30 minutes in the preset working population index table as shown in FIG. 30, integration of resident who can commute. The index value "100" is obtained.
Then, when the index value is calculated by setting the ratio of the value in the movable range to the value in the commuting range as 9: 1, the following equation, "88" × 0.9 + “100” × 0.1 = 89.2. Will be.

In this way, the candidate position evaluation device of the third embodiment is also an index that it is easy to secure employees working in the facility by calculating the index value of the candidate position based on the parameters in the range where commuting is possible. It can be calculated by incorporating it into the value.

As described above, the candidate position evaluation device identifies the range in which the moving body can move within the moving time from the candidate position of the facility installation point, and is a candidate based on the number of predetermined target objects in the movable range. By calculating the index value of the position, it becomes easy for the user to select the facility installation point.

Further, the following additional notes will be disclosed with respect to the above embodiments.
(Appendix 1)
Accepting candidate locations for facility installation points,
At least one of a range in which the moving body can move from the candidate position within a certain time and a range in which the moving body can move to the candidate position within a certain time is specified.
The index value of the candidate position is calculated based on the number of predetermined target objects in the movable range.
A candidate position evaluation program characterized by having a computer execute processing.
(Appendix 2)
The number of the predetermined purpose objects is the number of residents.
The candidate position evaluation program according to Appendix 1, characterized in that.
(Appendix 3)
The number of residents is calculated according to the area ratio of the predetermined area included in the movable range based on the population information surveyed in advance for each predetermined area.
The candidate position evaluation program according to Appendix 2, characterized in that.
(Appendix 4)
Accept more commuting time,
Specify the range where you can commute to the candidate position within the commuting time,
Based on the population information surveyed in advance for each predetermined area, the number of resident who can commute is calculated according to the area ratio of the predetermined area included in the commuting range.
The index value is calculated based on the number of resident who can commute in addition to the number of the predetermined purpose objects.
The candidate position evaluation program according to any one of Supplementary note 1 to 3, wherein the candidate position evaluation program is characterized by the above.
(Appendix 5)
The movable range is specified based on the movement history data group of the moving body.
The candidate position evaluation program according to any one of Supplementary note 1 to 4, wherein the candidate position evaluation program is characterized by the above.
(Appendix 6)
Further accept at least one of the date, time, day of the week, and weather,
The movable range is specified based on the movement history data group corresponding to at least one of the received date and time, the day of the week, and the weather.
The candidate position evaluation program according to Appendix 5, characterized in that.
(Appendix 7)
Accepting candidate locations for facility installation points,
At least one of a range in which the moving body can move from the candidate position within a certain time and a range in which the moving body can move to the candidate position within a certain time is specified.
The index value of the candidate position is calculated based on the number of predetermined target objects in the movable range.
A candidate position evaluation device, characterized by having a control unit that executes processing.
(Appendix 8)
The number of the predetermined purpose objects is the number of residents.
The candidate position evaluation device according to Appendix 7, wherein the candidate position evaluation device is characterized in that.
(Appendix 9)
The number of residents is calculated according to the area ratio of the predetermined area included in the movable range based on the population information surveyed in advance for each predetermined area.
The candidate position evaluation device according to Appendix 8, wherein the candidate position evaluation device is characterized in that.
(Appendix 10)
Accept more commuting time,
Specify the range where you can commute to the candidate position within the commuting time,
Based on the population information surveyed in advance for each predetermined area, the number of resident who can commute is calculated according to the area ratio of the predetermined area included in the commuting range.
The index value is calculated based on the number of resident who can commute in addition to the number of the predetermined purpose objects.
The candidate position evaluation device according to any one of Supplementary note 7 to 9, wherein the candidate position evaluation device is characterized by the above.
(Appendix 11)
The movable range is specified based on the movement history data group of the moving body.
The candidate position evaluation device according to any one of Supplementary note 7 to 10, wherein the candidate position evaluation device is characterized by the above.
(Appendix 12)
Further accept at least one of the date, time, day of the week, and weather,
The movable range is specified based on the movement history data group corresponding to at least one of the received date and time, the day of the week, and the weather.
The candidate position evaluation device according to Appendix 11, wherein the candidate position evaluation device is characterized in that.
(Appendix 13)
Accepting candidate locations for facility installation points,
At least one of a range in which the moving body can move from the candidate position within a certain time and a range in which the moving body can move to the candidate position within a certain time is specified.
The index value of the candidate position is calculated based on the number of predetermined target objects in the movable range.
A candidate position evaluation method characterized by a computer performing processing.
(Appendix 14)
The number of the predetermined purpose objects is the number of residents.
The candidate position evaluation method according to Appendix 13, wherein the candidate position is evaluated.
(Appendix 15)
The number of residents is calculated according to the area ratio of the predetermined area included in the movable range based on the population information surveyed in advance for each predetermined area.
The candidate position evaluation method according to Appendix 14, wherein the candidate position is evaluated.
(Appendix 16)
Accept more commuting time,
Specify the range where you can commute to the candidate position within the commuting time,
Based on the population information surveyed in advance for each predetermined area, the number of resident who can commute is calculated according to the area ratio of the predetermined area included in the commuting range.
The index value is calculated based on the number of resident who can commute in addition to the number of the predetermined purpose objects.
The candidate position evaluation method according to any one of Supplementary note 13 to 15, wherein the candidate position is evaluated.
(Appendix 17)
The movable range is specified based on the movement history data group of the moving body.
The candidate position evaluation method according to any one of Appendix 13 to 16, wherein the candidate position is evaluated.
(Appendix 18)
Further accept at least one of the date, time, day of the week, and weather,
The movable range is specified based on the movement history data group corresponding to at least one of the received date and time, the day of the week, and the weather.
The candidate position evaluation method according to Appendix 17, wherein the candidate position is evaluated.

100 Candidate position evaluation device 110 Communication unit 120 Storage unit 130 Input unit 140 Control unit

Claims (8)

Accepting candidate locations for distribution base installation points,
Extracting travel history data according to the type of moving object, which is at least one of a large vehicle, a medium-sized vehicle, and an ordinary vehicle,
The time in which the moving object can be moved from the candidate position within a certain time, the time obtained by accumulating the average travel time calculated from the speed in the traveling history data of the moving object in a predetermined section, and the average traveling time are accumulated. Specified by one of the added times,
The index value of the candidate position is calculated based on the number of predetermined target objects in the movable range.
A candidate position evaluation program characterized by having a computer execute processing. The number of the predetermined purpose objects is at least one of the number of residents, the number of households, and the number of business establishments .
The candidate position evaluation program according to claim 1. The number of the predetermined purpose objects is the number of residents.
The number of residents is calculated according to the area ratio of the predetermined area included in the movable range based on the population information surveyed in advance for each predetermined area.
2. The candidate position evaluation program according to claim 2. Accept more commuting time,
Specify the range where you can commute to the candidate position within the commuting time,
Based on the population information surveyed in advance for each predetermined area, the number of resident who can commute is calculated according to the area ratio of the predetermined area included in the commuting range.
The index value is calculated based on the number of resident who can commute in addition to the number of the predetermined purpose objects.
The candidate position evaluation program according to any one of claims 1 to 3, wherein the candidate position evaluation program is characterized in that. The movable range is specified based on the movement history data group of the moving body.
The candidate position evaluation program according to any one of claims 1 to 4, wherein the candidate position evaluation program is characterized in that. Further accept at least one of the date, time, day of the week, and weather,
The movable range is specified based on the movement history data group corresponding to at least one of the received date and time, the day of the week, and the weather.
The candidate position evaluation program according to claim 5, characterized in that. Accepting candidate locations for distribution base installation points,
Extracting travel history data according to the type of moving object, which is at least one of a large vehicle, a medium-sized vehicle, and an ordinary vehicle,
The time in which the moving object can be moved from the candidate position within a certain time, the time obtained by accumulating the average travel time calculated from the speed in the traveling history data of the moving object in a predetermined section, and the average traveling time are accumulated. Specified by one of the added times,
The index value of the candidate position is calculated based on the number of predetermined target objects in the movable range.
A candidate position evaluation device, characterized by having a control unit that executes processing. Accepting candidate locations for distribution base installation points,
Extracting travel history data according to the type of moving object, which is at least one of a large vehicle, a medium-sized vehicle, and an ordinary vehicle,
The time in which the moving object can be moved from the candidate position within a certain time, the time obtained by accumulating the average travel time calculated from the speed in the traveling history data of the moving object in a predetermined section, and the average traveling time are accumulated. Specified by one of the added times,
The index value of the candidate position is calculated based on the number of predetermined target objects in the movable range.
A candidate position evaluation method characterized by a computer performing processing.

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