Information processing device, information processing method, and storage medium

Abstract

To provide an information processing device, an information processing method, and a storage medium that estimate parking areas based on information obtained by vehicle movement.SOLUTION: An information processing device acquires location information, including parking locations from movable objects, and estimates parking information regarding parking lots in areas outside the road based on the location information of a plurality of movable objects that enter the areas outside the road. By analyzing the movement of the movable object and the parking locations in the areas outside the road, the overall shape of the parking lot, the parking and driving areas, or the like can be determined.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present invention relates to a technique for collecting information about parking lots. [Background technology]

[0002] In conventional map development methods, in order to reflect building shapes, parking lot areas, and other factors in map data, manual drawing was required based on aerial photographs and survey drawings. It was particularly difficult to manually develop map data for the vast number of parking lots attached to facilities. Furthermore, while it was possible to create a pseudo-parking lot area by defining an area surrounded by roads, this method was not effective when multiple parking lots existed in a single area.

[0003] Patent Document 1 describes a technique for estimating the road width for a new road, but does not include a technique for estimating a parking lot area. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Laid-Open No. 2008-164373 Summary of the Invention [Problem to be solved by the invention]

[0005] The above is an example of a problem to be solved by the present invention. An object of the present invention is to estimate a parking lot area based on information obtained by driving a vehicle. [Means for solving the problem]

[0006] The invention described in the claims is an information processing device comprising an acquisition unit that acquires location information including a parking position from a mobile body, and an estimation unit that estimates parking lot information regarding parking lots located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates the driving area within the parking lot based on the location information from when the mobile body enters the off-road area to when it parks.

[0007] The invention described in the claims is an information processing device comprising an acquisition unit that acquires location information including parking locations from a mobile body, and an estimation unit that estimates parking lot information regarding parking lots located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates parking locations with high utilization rates based on the density of the parking locations.

[0008] The invention described in the claims is an information processing device comprising an acquisition unit that acquires location information including parking locations from a mobile body, and an estimation unit that estimates parking lot information regarding parking lots located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates parking locations with high utilization rates based on the parking time of the mobile bodies.

[0009] The invention described in the claims is an information processing method executed by an information processing device, and includes an acquisition process for acquiring location information including a parking position from a mobile body, and an estimation process for estimating parking lot information regarding a parking lot located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, wherein the estimation process estimates the driving area within the parking lot based on location information from the time the mobile body enters the off-road area to the time it parks.

[0010] The invention described in the claims is an information processing method executed by an information processing device, and includes an acquisition process for acquiring location information including parking locations from a mobile body, and an estimation process for estimating parking lot information regarding parking lots located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates parking locations with high utilization rates based on the density of the parking locations.

[0011] The invention described in the claims is an information processing method executed by an information processing device, and includes an acquisition process for acquiring location information including a parking location from a mobile body, and an estimation process for estimating parking lot information regarding parking lots located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates parking locations with high utilization rates based on the parking time of the mobile bodies.

[0012] The invention described in the claims is a program executed by an information processing device having a computer, which causes the computer to function as an acquisition unit that acquires location information including parking locations from mobile bodies, and an estimation unit that estimates parking lot information regarding parking lots located in off-road areas based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates the driving area within the parking lot based on the location information from when the mobile body entered the off-road area to when it was parked.

[0013] The invention described in the claims is a program executed by an information processing device having a computer, which causes the computer to function as an acquisition unit that acquires location information including parking locations from a mobile body, and an estimation unit that estimates parking lot information regarding parking lots located in an off-road area based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates parking locations with high utilization rates based on the density of the parking locations.

[0014] The invention described in the claims is a program executed by an information processing device having a computer, which causes the computer to function as an acquisition unit that acquires location information including parking locations from mobile bodies, and an estimation unit that estimates parking lot information regarding parking lots located in off-road areas based on location information of multiple mobile bodies that have entered the off-road area, and the estimation unit estimates parking locations with high utilization rates based on the parking time of the mobile bodies. [Brief explanation of the drawings]

[0015] [Figure 1]1 shows a configuration of an information processing system according to an embodiment. [Figure 2] An example of probe data is shown. [Figure 3] 10 shows an example of parking lot data. [Figure 4] 10 is a flowchart of a parking lot area estimation process. [Figure 5] 10 is a flowchart of a parking lot identification process and an estimation process. [Figure 6] FIG. 10 is a diagram illustrating off-road driving. [Figure 7] FIG. 10 is a diagram illustrating a method for estimating a parking lot area. [Figure 8] An example of estimating a parking lot area from multiple driving planes is shown. [Figure 9] 10 is a flowchart of a process for estimating popular parking locations. [Figure 10] An example of a process for estimating popular parking locations will be described. DETAILED DESCRIPTION OF THE INVENTION

[0016] In one preferred embodiment of the present invention, an information processing device includes an acquisition unit that acquires location information including a parking location from a mobile body, and an estimation unit that estimates parking lot information regarding parking lots located in the off-road area based on location information of multiple mobile bodies that have entered the off-road area.

[0017] The information processing device acquires location information including parking locations from mobile objects, and estimates parking lot information about parking lots in off-road areas based on the location information of multiple mobile objects that have entered the off-road area. This information processing device can estimate information about parking lots by analyzing the movements and parking locations of mobile objects in the off-road area.

[0018] In one aspect of the information processing device, the estimation unit estimates the entire area of ​​the parking lot based on the parking positions of a plurality of mobile objects. In this aspect, the area of ​​the entire parking lot can be estimated based on the parking positions of the mobile objects.

[0019] In another aspect of the information processing device, the estimation unit estimates the parking area and the driving area within the parking lot based on position information from when the moving object entered the off-road area to when the moving object was parked. In this aspect, the parking area and the driving area within the parking lot can be distinguished.

[0020] In another aspect of the information processing device, the estimation unit estimates a parking location with a high utilization rate based on the density of the parking locations. In this aspect, a location with a high density of parking locations can be estimated as a location with a high utilization rate.

[0021] In another aspect of the information processing device, the estimation unit estimates a parking location with a high utilization rate based on a parking time of the mobile object. In this aspect, a location with a long parking time can be estimated as a location with a high utilization rate.

[0022] In another aspect of the information processing device, the information processing device further includes a storage unit that stores the parking lot information, and the estimation unit estimates the parking lot information based on the position information of the mobile object for a recent predetermined period or a recent predetermined number of vehicles, and detects a difference by comparing the estimated parking lot information with past parking lot information stored in the storage unit. In this aspect, when there is a change in the parking lot area, the parking lot information in the map data can be updated using the difference.

[0023] In another aspect of the information processing device, the information processing device further includes an output unit that outputs parking lot information to an external device, and the parking lot information includes warning information that is information that should be taken into consideration regarding the parking lot. In this aspect, the warning information regarding the parking lot can be output to an external terminal device or the like.

[0024] In another preferred embodiment of the present invention, an information processing method executed by an information processing device includes an acquisition step of acquiring position information including a parking position from a mobile object, and an estimation step of estimating parking lot information regarding a parking lot present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area. This method also makes it possible to estimate information regarding the parking lot by analyzing the movement and parking positions of the mobile objects in the off-road area.

[0025] In another preferred embodiment of the present invention, a program executed by an information processing device having a computer causes the computer to function as an acquisition unit that acquires location information, including parking locations, from mobile objects, and an estimation unit that estimates parking lot information regarding parking lots located in the off-road area based on location information of multiple mobile objects that have entered the off-road area. By executing this program on a computer, the above-mentioned information processing device can be realized. This program can be stored in a storage medium and used. [Example]

[0026] Preferred embodiments of the present invention will now be described with reference to the drawings.

[0027] [System Configuration] Fig. 1(A) shows the configuration of an information processing system to which the present invention is applied. The information processing system includes a server 10 and a navigation device 20 mounted on a vehicle 3. The server 10 and the navigation device 20 are configured to be capable of wireless communication. Note that for the sake of convenience, only one vehicle 3 is shown in Fig. 1, but in reality, a large number of vehicles 3 communicate with the server 10.

[0028] 1(B) shows the configuration of the server 10. The server 10 includes a communication unit 11, a control unit 12, a map database (hereinafter, "database" will be abbreviated as "DB") 13, and a probe DB .

[0029] The communication unit 11 receives probe data from the navigation device 20. The probe data is generated by the navigation device 20 as the vehicle 3 travels. The map DB 13 stores map data. The map data includes link data indicating links corresponding to roads and node data corresponding to intersections, as well as parking lot data relating to parking lots. The probe DB 14 stores probe data received from a large number of navigation devices 20.

[0030] The control unit 12 controls the entire server 10. The control unit 12 is configured with a computer such as a CPU, and performs predetermined processes by executing programs prepared in advance. Specifically, the control unit 12 performs processes such as receiving probe data from the navigation device 20 and estimating a parking lot area based on the probe data stored in the probe DB 14.

[0031] [Probe data] Next, the probe data will be described. Fig. 2 shows an example of the probe data. The probe data is generated by the navigation device 20 at predetermined time intervals (for example, every few seconds) as the vehicle 3 travels, and the example in Fig. 2 shows probe data at multiple locations generated at predetermined time intervals. As shown in the figure, the probe data includes "travel distance," "latitude," "longitude," "date and time," "speed," "direction of travel," "road type," and "back flag."

[0032] "Distance traveled" is the distance traveled by vehicle 3, and the cumulative distance traveled measured by the odometer is used. "Latitude" and "Longitude" indicate the latitude and longitude of the vehicle 3's location. "Date and time" indicates the date and time when each piece of probe data was generated. "Speed" indicates the speed of vehicle 3 at the time of measurement. "Direction of travel" indicates the direction of travel of vehicle 3 at the time of measurement. Note that the direction of travel is indicated by a direction with north being 0 degrees.

[0033] "Road type" is information indicating the type of road on which the vehicle 3 is traveling, with expressways being designated as "1," toll roads as "2," national highways as "3," prefectural roads as "4," and city roads as "5." In this embodiment, the navigation device 20 sets the road type to "-1" when the vehicle 3 is traveling in an area other than a road. Therefore, when the road type is "-1," the vehicle 3 is traveling off a road.

[0034] The "back flag" is a flag that indicates whether the vehicle 3 is backing up (moving backward). A back flag of "0" indicates forward movement, and a back flag of "1" indicates backing up (moving backward). The back flag is generated based on whether the gear of the vehicle 3 is in the reverse position.

[0035] [Parking lot data] Next, we will explain parking lot data. Figure 3 shows an example of parking lot data. Parking lot data is prepared for each entrance to the parking lot. Therefore, if one parking lot has multiple entrances, multiple parking lot data are prepared for one parking lot. As shown in the figure, parking lot data includes "ID," "latitude," "longitude," "direction," and "name."

[0036] "ID" is an identification number that uniquely identifies the entrance to the parking lot. "Latitude" and "Longitude" are the latitude and longitude of the entrance to the parking lot. "Orientation" indicates the direction in which vehicle 3 will travel when entering the entrance to the parking lot. For example, if the entrance to the parking lot faces north, vehicle 3 will enter by traveling south from the north side of the parking lot, so the orientation of the entrance will be south. Note that in this example, the orientation is indicated by an angle with north being 0 degrees.

[0037] "Name" is the name of the parking lot. In the example of FIG. 3, parking lot data is prepared for each entrance to the parking lot, but instead, parking lot data may be prepared for each parking lot. However, even in this case, the parking lot data includes the latitude, longitude, and direction of the parking lot entrance. In other words, it includes information indicating the position and direction of each entrance to the parking lot (if there are multiple entrances).

[0038] [Parking lot area acquisition process] Next, the parking lot area acquisition process will be described. The parking lot area acquisition process is executed by the server 10, and is a process for estimating the area of ​​the parking lot based on probe data obtained from a large number of vehicles 3. This process is mainly executed by the control unit 12 of the server 10. In practice, this process is realized by a computer such as a CPU constituting the control unit 12 executing a program prepared in advance.

[0039] First, the server 10 receives probe data by wireless communication from a large number of vehicles 3 (step S10). The server 10 stores the received probe data in the probe DB 14.

[0040] Next, the server 10 performs parking lot identification (step S11). The parking lot identification process is a process for identifying parking lots from the probe data and parking lot data in the map data. The details of the parking lot identification process are shown in FIG. 5(A). First, the server 10 detects the start point of off-road traveling based on the probe data (step S21).

[0041] FIG. 6 is a diagram illustrating off-road driving. As shown in the figure, multiple roads intersect, with multiple plots (sites) formed by roads running north-south and roads running east-west. A vehicle mark X indicates the location of vehicle 3 indicated by probe data. A white vehicle mark X indicates a location on a prefectural road, and the probe data at this location includes the road type "4 (prefectural road)." A diagonally hatched vehicle mark X indicates a location on a city road, and the probe data at this location includes the road type "5 (city road)." A black vehicle mark X indicates a location off-road, and the probe data at this location includes the road type "-1 (off-road)."

[0042] Now, as shown in the figure, assume that vehicle 3 travels west on road R3 (prefectural road), turns left at the intersection of roads R2 and R3 onto road R2 (city road), turns left again to enter section 50 where a parking lot is located, travels through the parking lot, and finally parks vehicle 3 facing west (see dashed line 62). In this case, server 10 refers to the probe data showing the travel trajectory shown in Figure 6, and determines that the point where the road type first becomes "-1 (off-road)" (the point indicated by dashed line 61 in Figure 6) is the start point of off-road travel.

[0043] Next, the server 10 refers to the parking lot data in the map DB 13 and searches for parking lots having entrances within a predetermined threshold range from the coordinates of the start point of the off-road traveling obtained in step S21 (step S22). Then, from among the multiple parking lots obtained by the search, the server 10 identifies a parking lot whose entrance direction matches the traveling direction of the vehicle 3 at the start point of the off-road traveling and has an entrance that is closest to the start point of the off-road traveling (step S23). Then, the process returns to the main routine shown in FIG.

[0044] Next, the server 10 determines whether or not the parking lot has been identified in the parking lot identification process of step S11, i.e., whether or not a corresponding parking lot has been found (step S12). If a corresponding parking lot has not been found (step S12: No), the server 10 determines that the parking lot indicated by the currently obtained probe data has not yet been registered in the map DB 13, and registers the parking lot in the map DB 13 (step S13). Specifically, the server 10 generates new parking lot data and registers it in the map DB 13. At this time, a new ID is assigned to the new parking lot data, the coordinates of the start point of the off-road traveling are set as "latitude" and "longitude," the traveling direction of the vehicle 3 at the start point of the off-road traveling is set as "direction," and the name of the facility or the like closest to the start point of the off-road traveling is set as "name."

[0045] In this way, when a new parking lot is registered in step S13, or when it is determined that a parking lot has been identified in step S12, the server 10 extracts off-road driving data from the probe data and stores it in the probe DB 14 (step S14). In the example of Fig. 2, data on points where the road type is "-1" is stored as off-road driving data.

[0046] Next, the server 10 executes estimation processing using the off-road driving data (step S15). FIG. 5(B) is a flowchart of the estimation processing. First, the server 10 acquires off-road driving data obtained for the same parking lot from the probe DB 14 (step S31). Next, the server 10 generates a driving surface based on each off-road driving data (step S32). Here, a "driving surface" is a surface having a certain distance centered on coordinates included in the off-road driving data. Now, assuming that the off-road driving data has a trajectory 42 shown in FIG. 7(A), the server 10 generates a driving surface 44 that has a width approximately the width of a standard vehicle relative to the trajectory 42, as schematically shown in FIG. 7(B). The server 10 generates such a driving surface 44 for each piece of off-road driving data.

[0047] The server 10 then spatially combines the multiple travel surfaces 44 generated in step S32 to estimate a parking lot area (step S33). FIG. 8 shows an example of estimating a parking lot area from multiple travel surfaces 44, showing multiple travel surfaces 44 obtained in the same parking lot. In this example, it is possible to distinguish between an area where the vehicle 3 is moving in a relatively linear manner and an area where the vehicle 3 has turned around and parked. Therefore, the server 10 estimates the area where the vehicle 3 has turned around and parked as a parking area 51, and estimates the area where the vehicle 3 is moving in a relatively linear manner as a travel area 52. In the example of FIG. 8, two parking areas 51a and 51b are obtained, and two corresponding travel areas 52a and 52b are obtained, respectively.

[0048] Generally, when parking a vehicle, the vehicle moves to the parking position at a certain speed, but when parking the vehicle by changing direction, the vehicle speed is sufficiently low. Therefore, the parking area 51 and the driving area 52 may be distinguished from each other by taking into account not only the position coordinates of the vehicle 3 but also the vehicle speed in the off-road driving data.

[0049] Furthermore, the shape of the entire parking lot can be estimated by combining the one or more parking areas 51 thus obtained with one or more driving areas 52. In the example of Figure 8, the overall shape of the parking lot is roughly the shape shown by the dashed line 48. Once the parking lot area has been estimated in this way, the parking lot area estimation process ends.

[0050] As described above, according to this embodiment, the parking lot area can be estimated based on the probe data of multiple vehicles, i.e., the driving history. In addition to the overall shape of the parking lot area, it is also possible to distinguish between the driving area and the parking area within the parking lot area.

[0051] [Estimation of popular parking locations] Next, we will explain a method for estimating highly utilized (popular) parking locations within an estimated parking lot area. Even within a single parking lot, there are popular parking locations and unpopular parking locations for various reasons, such as being close to the facility entrance or having a roof. Therefore, the server 10 collects actual parking locations of vehicles 3 within each parking lot and calculates their density to estimate popular and unpopular locations in the parking lot.

[0052] 9 shows an example of a process for estimating a popular parking location. This process is performed by the server 10. First, the server 10 receives probe data from the navigation device 20 of the vehicle 3 (step S41).

[0053] Next, the server 10 acquires the coordinates of the parking positions of the multiple vehicles 3 from the probe data (step S42). Specifically, the server 10 determines the point in the probe data where the speed = 0 as the parking position of the vehicle 3, and sets the latitude and longitude of that point as the coordinates of the parking position. Note that, in order to distinguish from a simple stop that occurs when waiting for a preceding vehicle to park, the server 10 preferably determines that the vehicle is parked when the vehicle has been stopped at less than a predetermined speed for a predetermined period of time or more. For example, the server 10 determines that the vehicle is parked when the speed is less than 1 km / h for three minutes or more. FIG. 10(A) shows an example of extracted parking positions.

[0054] Next, the server 10 counts the density of the coordinates of the parking positions obtained in step S42 and estimates popular parking positions (step S43). For example, the server 10 calculates the density of vehicle parking positions in the parking lot space using a method such as kernel density estimation. Then, the process ends.

[0055] Figure 10(B) shows a schematic diagram of the results of calculating the density of parking locations based on the parking location data shown in Figure 10(A). In Figure 10(B), the brighter the color, the higher the density of parking locations, indicating that the area is more popular.

[0056] In the above example, popular (highly utilized) parking locations are estimated based on the density of parking locations. However, popular parking locations may instead be estimated based on the length of parking time. Generally, the longer the parking time, the higher the utilization rate. Therefore, the server 10 can extract parking locations with long parking times based on the probe data and estimate these locations as highly utilized parking locations.

[0057] The parking location distribution information and information on popular parking locations obtained in the manner described above can be used for a variety of purposes, such as considering measures to prevent congestion in parking lots and disperse parking locations, and considering when changing / adding parking lot entrance locations.

[0058] [Parking lot information update process] Next, we will describe an example of using estimated parking lot information for map updates. If the parking lot area estimated from driving data for a certain period (for example, the most recent year) differs from the parking lot area estimated from driving data from before the certain period, it is assumed that there has been a change in the actual parking lot area, and the stored parking area information is updated. Specifically, this includes changes in the parking lot, such as expansion or contraction of the parking lot, or changes in parking spaces. The same applies to driving areas, parking areas, and popular parking locations.

[0059] As described above, by focusing on changes in parking areas, it is possible to utilize the latest information, such as reorganizing the corresponding parking lot map and updating map information. Furthermore, by focusing on changes in popular parking locations, it is possible to utilize the latest information that corresponds to changes in the parking lot environment.

[0060] [Use in advanced maps] Next, an example of creating a high-precision map of a parking lot using additional sensing information from a lidar or the like will be described. Using a lidar or the like makes it possible to create a high-precision map of a parking lot from white line information and the like. However, it is difficult to detect parking lot attributes, such as monthly parking lots that have usage conditions, using sensing information alone. Therefore, parking lot attributes are detected by using driving information as in the above-mentioned example. For example, if parking information is obtained from multiple mobile objects, it is estimated that the parking lot is generally available for use. This makes it possible to assign parking lot attributes to a high-precision map.

[0061] In addition, by using driving history, parking lot information can be identified more accurately even in parking lots without white lines or temporary parking lots.

[0062] In addition, using sensing information, it is possible to detect the height of vehicle stops in parking areas, the height of the roof, etc., which can be used to create high-precision maps together with driving information showing parking history.In addition, by detecting longitudinal gradients at parking floor entrances and utilizing driving information showing driving history, it is possible to generate accurate warning information, such as warnings about skidding.

[0063] [Parking lot warning information] From the driving information within the parking lot, it is possible to create information on locations within the parking lot where sudden decelerations and other abnormalities occur. This information can be used to encourage caution when guiding the user to the parking lot, or to notify the user that a parking lot with a lot of such information is not recommended, thereby contributing to the user's safe driving. Furthermore, when focusing on speed information, parking lots with a high average speed within the parking lot are parking lots where pedestrians need to be careful. In such parking lots, it is possible to warn the user by notifying them that they should be careful when walking within the parking lot.

[0064] In the above embodiment, the server generates information about the parking lot using the probe information, but this is not limiting. Alternatively, a terminal installed in the parking lot may collect data via communication and generate information about the parking lot. Furthermore, the terminal installed in the vehicle may transmit data only when necessary. [Explanation of symbols]

[0065] 3 vehicles 10 Servers 12 Control Unit 13 Map DB 14 Probe DB 20 Navigation devices

Claims

1. an acquisition unit that acquires location information including a parking location from the mobile object; an estimation unit that estimates parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area; Equipped with The estimation unit is an information processing device that estimates a driving area within the parking lot based on position information from when the moving object enters the off-road area until when the moving object is parked.

2. The information processing device according to claim 1 , wherein the estimation unit estimates the parking area within the parking lot based on position information from when the mobile object enters the off-road area until when the mobile object is parked.

3. The information processing device according to claim 2 , wherein the estimation unit estimates an area in which the moving object is moving linearly as the travel area, and estimates an area in which the moving object has changed direction and stopped as the parking area.

4. The information processing device according to claim 2 , wherein the estimation unit estimates an area where the speed of the moving object is higher than a predetermined value as the travel area, and estimates an area where the speed of the moving object is lower than the predetermined value as the parking area.

5. an acquisition unit that acquires location information including a parking location from the mobile object; an estimation unit that estimates parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area; Equipped with The estimation unit is an information processing device that estimates parking locations with high utilization rates based on the density of the parking locations.

6. an acquisition unit that acquires location information including a parking location from the mobile object; an estimation unit that estimates parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area; Equipped with The estimation unit is an information processing device that estimates a parking location with a high utilization rate based on a parking time of the mobile object.

7. Further, a storage unit that stores the parking lot information is provided. The information processing device described in any one of claims 1 to 6, characterized in that the estimation unit estimates the parking lot information based on the location information of the mobile body over a recent predetermined period, and if the estimated parking lot information differs from past parking lot information stored in the memory unit, updates the parking lot information stored in the memory unit using the estimated parking lot information.

8. An output unit that outputs the parking lot information to an external device is further provided. The parking lot information includes caution information that is information that should be noted regarding the parking lot, The information processing device according to any one of claims 1 to 7, characterized in that the warning information includes at least one of information about locations within the parking lot where sudden deceleration is occurring and information indicating parking lots where the average speed within the parking lot is high.

9. An information processing method executed by an information processing device, an acquisition step of acquiring location information including a parking location from the mobile object; an estimation step of estimating parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area; Equipped with The estimation step is an information processing method for estimating a driving area within the parking lot based on position information from when the mobile object enters the off-road area until when the mobile object is parked.

10. An information processing method executed by an information processing device, an acquisition step of acquiring location information including a parking location from the mobile object; an estimation step of estimating parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area; Equipped with The information processing method includes: estimating a parking location with a high utilization rate based on the density of the parking locations;

11. An information processing method executed by an information processing device, an acquisition step of acquiring location information including a parking location from the mobile object; an estimation step of estimating parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile objects that have entered the off-road area; Equipped with The estimation unit estimates a parking location with a high utilization rate based on the parking time of the mobile object.

12. A program executed by an information processing device having a computer, an acquisition unit that acquires location information including a parking location from the mobile object; an estimation unit that estimates parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile bodies that have entered the off-road area; causing the computer to function as The estimation unit is a program that estimates a driving area within the parking lot based on position information from when the moving object enters the off-road area until when the moving object is parked.

13. A program executed by an information processing device having a computer, an acquisition unit that acquires location information including a parking location from the mobile object; an estimation unit that estimates parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile bodies that have entered the off-road area; causing the computer to function as The estimation unit is a program that estimates parking locations with high utilization rates based on the density of the parking locations.

14. A program executed by an information processing device having a computer, an acquisition unit that acquires location information including a parking location from the mobile object; an estimation unit that estimates parking lot information regarding parking lots present in the off-road area based on position information of a plurality of mobile bodies that have entered the off-road area; causing the computer to function as The estimation unit is a program that estimates a parking location with a high utilization rate based on the parking time of the mobile object.

15. A storage medium storing the program according to any one of claims 12 to 14.

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