JP6230457B2 - Information processing apparatus, information processing method, and information processing program - Google Patents

Information processing apparatus, information processing method, and information processing program Download PDF

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JP6230457B2
JP6230457B2 JP2014059012A JP2014059012A JP6230457B2 JP 6230457 B2 JP6230457 B2 JP 6230457B2 JP 2014059012 A JP2014059012 A JP 2014059012A JP 2014059012 A JP2014059012 A JP 2014059012A JP 6230457 B2 JP6230457 B2 JP 6230457B2
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parking lot
vehicle
information processing
full
processing apparatus
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JP2015184820A (en
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高光 入山
高光 入山
一浩 二宮
一浩 二宮
安昭 兵藤
安昭 兵藤
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ヤフー株式会社
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Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

  Conventionally, when performing navigation (hereinafter also referred to as “guidance”) using an in-vehicle terminal or a mobile terminal, the position of the parking lot is displayed, and full information indicating whether the parking lot is full is displayed. The technology to do is known. In addition, in order to obtain full availability information without depending on the parking management system, if the vehicle passes through the parking lot set as the destination, if the vehicle makes a U-turn after passing, or other parking lot There is known a technique for determining that a parking lot set as a destination is full when a vehicle enters.

JP 2011-215049 A JP2013-210706A

  However, the above-described conventional technique has a problem that full / vacant information may not be acquired. For example, in the prior art, since it is determined whether the parking lot set as the destination is full, it is not possible to determine whether the parking lot not set as the destination is full. In addition, in the prior art, even if the vehicle passes through the parking lot set as the destination, if it does not make a U-turn or does not enter another parking lot, the parking lot set as the destination is It cannot be determined whether the vehicle is full.

  The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program capable of acquiring full / vacant information of an arbitrary parking lot.

  The information processing apparatus according to the present application is configured to determine whether or not the parking lot is full based on a change in the speed of the vehicle around the parking lot, and the determination result by the determination unit to other devices. And an output unit for outputting.

  According to one aspect of the embodiment, full / vacant information of an arbitrary parking lot can be acquired.

FIG. 1 is a diagram illustrating an outline of processing executed by the information processing apparatus according to the embodiment. FIG. 2 is a diagram illustrating an example of a functional configuration of the information processing apparatus according to the embodiment. FIG. 3 is a diagram illustrating an example of information registered in the probe database according to the embodiment. FIG. 4 is a diagram illustrating an example of information registered in the parking lot database according to the embodiment. FIG. 5 is a flowchart for explaining the flow of processing executed by the information processing apparatus according to the embodiment. FIG. 6 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus.

  Hereinafter, an information processing apparatus, an information processing method, and a form for implementing an information processing program (hereinafter referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. Information processing apparatus 10]
First, the information processing apparatus 10 according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an outline of processing executed by the information processing apparatus according to the embodiment.

  The information processing apparatus 10 is an information processing apparatus such as a server that transmits and receives various types of information to and from the vehicle 50 and the information processing apparatus 10 via the Internet or the like. For example, the information processing apparatus 10 receives probe data indicating the position and speed of the vehicle 50 from a terminal device included in the vehicle 50. In addition, for example, the information processing apparatus 10 distributes to the terminal device 51 the full information indicating whether the parking lot is empty or full.

  The vehicle 50 is a vehicle such as a car or a motorcycle operated by a user. In addition, the vehicle 50 includes a terminal device that can communicate with the information processing apparatus 10, and transmits probe data indicating the speed and position of the vehicle 50 to the information processing apparatus 10. Note that the processing executed by the vehicle 50 is, for example, a terminal device similar to the terminal device 51, which is acquired by a terminal device installed on the dashboard of the vehicle 50 using a camera or a GPS (Global Positioning System). This may be realized by transmitting the speed and position of the vehicle 50 as probe data to the information processing apparatus 10.

  The terminal device 51 is a terminal device used by a user who uses various services. Further, for example, the terminal device 51 is a terminal device used by a user, and an arbitrary information processing device such as a tablet terminal, a PC, a PDA, a smartphone, a car navigation system mounted on a vehicle, or the like is applied. The terminal device 51 includes 3G (Generation), 4G, LTE (Long Term Evolution), GSM (registered trademark) (Global System for Mobile Communications) and other wireless communication networks, Bluetooth (registered trademark), wireless LAN, and the like. It is possible to communicate with the information processing apparatus 10 by connecting to the network N via short-range wireless communication.

  Further, the terminal device 51 can perform a user guidance process using an arbitrary system. For example, when the departure point and the destination are set by the user, the terminal device 51 transmits the departure point and the destination to the navigation system that performs route search. When the terminal device 51 receives a route from the departure place to the destination, the terminal device 51 displays the received route and guides the user to the destination. Further, when the destination is not set, the terminal device 51 measures the position of the device itself, collects map information around the measured position, and uses the collected map information as the position of the terminal device 51. Display with

  Here, the information processing apparatus 10 collects probe data indicating the position of the vehicle 50 at predetermined time intervals, and determines whether or not there is an empty parking lot using the collected probe data. For example, in the example illustrated in FIG. 1, the vehicle 50 is traveling on road information facing the parking lot 100. Here, when the user of the vehicle 50 is looking for a parking lot for parking the vehicle 50, it is considered that the user reduces the speed near the parking lot 100 and checks whether there is a vacancy. Moreover, the user of the vehicle 50 parks the vehicle 50 in the parking lot 100 as it is when the parking lot 100 is empty, and passes the parking lot 100 while accelerating when the parking lot 100 is full. it is conceivable that.

  Therefore, the information processing apparatus 10 performs the following process. First, the information processing apparatus 10 includes a parking lot database 15 that stores a parking lot ID that identifies a parking lot and a state flag that indicates whether or not the parking lot is full. The information processing apparatus 10 stores the position of the parking lot 100 in advance and receives probe data of the vehicle 50 (step S1). Then, the information processing apparatus 10 analyzes the behavior of the vehicle 50 in the predetermined area 101 facing the entrance of the parking lot 100. Specifically, the information processing apparatus 10 calculates the speed change of the vehicle 50 in the area 101 outside the parking lot (step S2).

  Next, the information processing apparatus 10 determines whether or not the calculated speed change satisfies a predetermined condition and the vehicle 50 has moved out of the area 101, that is, whether or not the vehicle 50 has passed the parking lot 100 ( Step S3). The information processing apparatus 10 determines that the parking lot 100 is full when the calculated speed change satisfies a predetermined condition and the vehicle 50 passes the parking lot 100 (step S4).

  For example, the information processing apparatus 10 calculates the speed difference between before and after the vehicle 50 enters the area 101. Further, the information processing apparatus 10 is configured such that when the speed after the vehicle 50 enters the area 101 is slower than the speed before the vehicle 50 enters the area 101, that is, when the vehicle 50 decelerates around the parking lot 100. Then, it is determined whether or not the vehicle 50 has passed the entrance of the parking lot 100. When the information processing apparatus 10 determines that the vehicle 50 has passed the entrance of the parking lot 100, the information processing apparatus 10 determines that the parking lot 100 is full. As a specific example, the information processing apparatus 10 determines that the parking lot 100 is full when the speed difference of the vehicle 50 is about 30 kilometers per hour or when the vehicle 50 decelerates the speed by half. May be.

  Further, when the information processing apparatus 10 determines that the parking lot 100 is full, the parking lot database 15 displays a state flag associated with the parking lot ID (eg, “ID0001”) of the parking lot 100 in the parking lot database 15. Is updated to a value “1” (step S5). Thereafter, when the information processing apparatus 10 receives a request for transmission of full / vacant information from the terminal apparatus 51 (step S6), the information processing apparatus 10 stores the parking lot information based on the parking lot state flag stored in the parking lot database 15. Generate full / vacant information.

  In the example illustrated in FIG. 1, the information processing apparatus 10 stores the parking lot ID “ID0001” of the parking lot 100 and the state flag “1” indicating that the parking lot is full, and is therefore the name of the parking lot 100. Fully empty information in which the “first parking lot” and the parking lot state “full” are associated with each other is generated. Further, since the information processing apparatus 10 stores the parking lot ID “ID0002” and the state flag “0” indicating an empty vehicle in association with each other, the name of the parking lot indicated by the parking lot ID “ID0002” (for example, “ Fully empty information that associates the second parking lot ”) with the parking lot state“ available ”is generated. Then, the information processing apparatus 10 transmits the generated full / vacancy information to the terminal device 51 to display the full / vacant information (step S7).

  As described above, the information processing apparatus 10 can determine whether or not the parking lot 100 is full without acquiring the fullness information from the system that manages the parking lot 100. Further, the information processing apparatus 10 determines whether or not the parking lot 100 is full based on a change in the speed of the vehicle 50 in the area 101 around the parking lot 100. For this reason, the information processing apparatus 10 can acquire full / vacant information of the parking lot 100 even when the user of the vehicle 50 does not set the parking lot 100 as the destination of the guidance process.

  In addition, the information processing apparatus 10 specifies full / vacant information by executing the same processing for parking lots other than the parking lot 100. Further, the information processing apparatus 10 may use probe data from a terminal device other than the terminal device mounted on the vehicle 50. As will be described later, the information processing apparatus 10 can determine whether or not the parking lot 100 is full based on the speed change of the vehicle 50 in addition to the above-described conditions.

  In the following description, the vehicle 50, the terminal device mounted on the vehicle 50, the terminal device 51, and any other terminal device are collectively referred to as a terminal device 52. The predetermined area 101 is an area where the driver who drives the vehicle 50 can determine whether or not the parking lot is full, that is, an area where the fullness information can be visually recognized. The size of the area is as follows. Based on the buildings around the parking lot, the traffic volume of the road, etc., it can be freely set for each parking lot. Further, in the following description, a predetermined area in which the vicinity of the entrance of the parking lot 100 or the parking lot 100 can be determined whether or not the parking lot 100 is full is described as the vicinity of the parking lot.

[2. Functional configuration of information processing apparatus 10]
Next, an example of a functional configuration of the information processing apparatus 10 that realizes the above-described processing will be described. FIG. 2 is a diagram illustrating an example of a functional configuration of the information processing apparatus according to the embodiment. In the example illustrated in FIG. 2, the information processing apparatus 10 includes a communication unit 11, a storage unit 12, and a control unit 13. The storage unit 12 stores a probe database 14 and a parking lot database 15.

  The communication unit 11 is realized by, for example, a NIC (Network Interface Card). In addition, the communication unit 11 controls communication between the terminal device 51 and the information processing apparatus 10 by wired or wireless communication via the network N.

  The storage unit 12 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk.

  The probe database 14 is a database in which probe data indicating the position of the terminal device 52 acquired at predetermined time intervals is registered. For example, FIG. 3 is a diagram illustrating an example of information registered in the probe database according to the embodiment. As shown in FIG. 3, the probe database 14 stores probe data in which terminal IDs, time information, position information, and speed information are associated with each other.

  Here, the terminal ID is information for identifying the terminal device 52 from which probe data is acquired. The time information is information indicating the time when the position information and speed information included in the probe data are measured. The position information is information indicating the position of the terminal device 52 indicated by the associated terminal ID. The speed information is information indicating the moving speed of the terminal device 52 indicated by the associated terminal ID. In the example shown in FIG. 3, an example in which conceptual information such as “P1” and “S1” is stored in the position information and the speed information is shown. A numerical value representing an hourly speed or the like is stored as speed information.

  The probe data described above is transmitted to the information processing apparatus 10 when the terminal device 52 executes a predetermined application. For example, when a predetermined application is installed, the terminal device 52 measures the position of the terminal device 52 at predetermined time intervals using GPS or the like. In addition, the terminal device 52 calculates the moving speed of the terminal device 52 in conjunction with the mounted vehicle or based on the amount of change in position. Then, the terminal device 52 generates and generates probe data in which the terminal ID, time information indicating the measured time, position information indicating the measured position, and speed information indicating the calculated moving speed are associated with each other. Probe data is transmitted to the information processing apparatus 10. The terminal device 52 may transmit the probe data to the information processing apparatus 10 when generating the probe data, cache the generated probe data, and process all the cached probe data at predetermined time intervals. 10 may be transmitted.

  The parking lot database 15 is a database in which information on parking lots for determining whether the vehicle is full is registered. For example, FIG. 4 is a diagram illustrating an example of information registered in the parking lot database according to the embodiment. As shown in FIG. 4, the parking lot database 15 registers a parking lot ID, a state flag, position information, a full vehicle time, and an expected departure time in association with each other.

  Here, the parking lot ID is an identifier for identifying the parking lot. The parking lot database 15 may store a parking lot name and the like together with the parking lot ID. The state flag is information indicating whether or not the parking lot indicated by the associated parking lot ID is full. For example, when the parking lot indicated by the parking lot ID is full, the information processing apparatus 10 registers the parking lot ID in association with the state flag “1”, and the parking lot indicated by the parking lot ID has an empty space. In this case, the parking lot ID is registered in association with the state flag “0”.

  The position information is information indicating the area where the parking lot indicated by the associated parking lot ID exists and the surroundings of the parking lot. The full vehicle time is information indicating the time when the parking lot indicated by the associated parking lot ID is finally determined to be full. Further, the expected shipping time is an expected value of a time interval from when a certain vehicle is issued until the next vehicle is issued at the parking lot indicated by the associated parking lot ID. For example, the vehicle is issued. This is the average value of the time interval. Note that the expected departure time may be calculated based on the time from when the parking lot is full until it becomes available, or based on an arbitrary parameter depending on the degree of congestion on the road, the size of the parking lot, etc. Or may be calculated in advance.

  Returning to FIG. 2, the control unit 13 executes various programs stored in the storage device inside the information processing apparatus 10 using the RAM as a work area, for example, by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. Is realized. The control unit 13 is realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

  As illustrated in FIG. 2, the control unit 13 includes an information analysis unit 16 and an information distribution unit 17. The information analysis unit 16 includes a collection unit 18, an extraction unit 19, a determination unit 20, and an update unit 21. The information distribution unit 17 includes a request reception unit 22 and an information output unit 23.

[3. Operation and Action of Information Processing Device 10]
The operation of the information processing apparatus 10 configured as described above will be described based on the flowchart of FIG. FIG. 5 is a flowchart for explaining the flow of processing executed by the information processing apparatus according to the embodiment.

  The collection unit 18 determines whether probe data has been received from the terminal device 52 (step S101). Then, when receiving the probe data from the terminal device 52 (step S101: Yes), the collection unit 18 registers the probe data in the probe database 14 (step S102).

  The extraction unit 19 determines whether or not it is a predetermined analysis timing (step S103), and if it is the predetermined analysis timing (step S103: Yes), the probe data of the vehicle that has passed last for each parking lot. Is extracted (step S104). For example, the extraction unit 19 reads out the position information of the parking lot to be processed from the parking lot database 15. And the extraction part 19 extracts the probe data containing the positional information which shows the position contained in the area | region which the positional information read from the parking lot database 15 shows among the probe data registered into the probe database 14. FIG. Such probe data may include not only probe data of vehicles that have passed around the parking lot, but also probe data of vehicles that have entered the parking lot and probe data of vehicles that have exited the parking lot.

  Further, the extraction unit 19 specifies probe data in which the same terminal ID as the probe data in which the latest time information is registered is registered among the extracted probe data. Thereafter, the extraction unit 19 outputs the specified probe data to the determination unit 20.

  The determination unit 20 determines whether or not the parking lot is full based on the change in the vehicle speed around the parking lot (step S105). Specifically, the determination unit 20 determines whether or not the parking lot is full based on a change in the vehicle speed around the entrance of the parking lot. The determination unit 20 determines that the parking lot is full when the speed of the vehicle is decelerated by a predetermined threshold or more and the vehicle passes through the entrance of the parking lot.

  For example, the determination unit 20 receives, from the extraction unit 19, probe data of a vehicle that has finally passed in front of the parking lot indicated by the parking lot ID “ID0001”. In such a case, the determination unit 20 sorts the received probe data in time series using the time information. Then, the determination unit 20 calculates a difference in speed indicated by the speed information registered in each sorted probe data. That is, the determination unit 20 identifies a history of changes in the speed of the vehicle around the parking lot.

  In addition, the determination unit 20 uses the position information registered in each probe data, the specified speed change history, the history before the vehicle passes through the parking lot entrance, and the vehicle passes through the parking lot entrance. It is divided into the history after. For example, the determination unit 20 determines the history of the specified speed change according to whether or not the position of the vehicle is included around the parking lot to be determined, and the history before the vehicle passes through the parking lot entrance. , And the history after the vehicle passes the parking lot entrance.

  Moreover, the determination part 20 determines whether the vehicle decelerated the speed more than a predetermined threshold from the log | history before a vehicle passes the entrance of a parking lot. Then, in the history before the vehicle passes through the entrance of the parking lot, the determination unit 20 determines that the parking lot is full when the vehicle has reduced the speed by a predetermined threshold or more. In the history before the vehicle passes through the parking lot entrance, the determination unit 20 reduces the speed of the vehicle by a predetermined threshold or more and the history after the vehicle passes through the parking lot entrance If the speed has accelerated more than a predetermined threshold, it may be determined that the parking lot is full.

  Further, the determination unit 20 may determine whether or not the parking lot is full based on the vehicle speed and the amount of change in the vehicle speed. For example, the determination unit 20 reduces the speed until the vehicle reaches the periphery of the parking lot below a predetermined threshold, and decelerates the predetermined threshold or more until the vehicle passes through the entrance of the parking lot, and If the vehicle accelerates after passing through the parking lot entrance, it may be determined that the parking lot is full. When such processing is executed, for example, it can be determined whether or not the parking lot is full based on driving by a user who is surely looking for a parking lot.

  Moreover, the determination part 20 determines whether the vehicle entered the parking lot or the vehicle left using the probe data received from the extraction part 19 (step S106). And when the determination part 20 determines with the vehicle having arrived at the parking lot, or having judged that the vehicle has left, it determines with the parking lot having space, and updates the notification that the parking lot had the entry / exit To the unit 21.

  The update unit 21 updates various information registered in the parking lot database 15 based on the determination result of the determination unit 20 (step S107). For example, when the determination unit 20 determines that the parking lot is full, the updating unit 21 specifies an entry including the parking lot ID of the parking lot that is the determination target from the parking lot database 15. Then, the update unit 21 updates the value of the status flag of the identified entry to a value “1” indicating full. Further, when the value of the status flag of the specified entry is updated to “1”, the update unit 21 stores the time when the value of the status flag is updated as the full time of the specified entry.

  In addition, the update unit 21 executes the following processing for each entry in the parking lot database 15. First, the update unit 21 compares the full time registered in the entry with the expected shipping time, and if the current time is later than the time when the expected shipping time is added to the full time, the update unit 21 sets the entry. The value of the registered status flag is updated to “0”. Moreover, the update part 21 updates the state flag matched with the parking lot ID of this parking lot to "0", when the notification to the effect of entering / exiting the parking lot from the determination part 20 is received. .

  The request receiving unit 22 determines whether or not the full availability information requesting transmission of full availability information has been received from the terminal device 52 (step S108). And the request | requirement reception part 22 produces | generates full / vacant information using each parking lot ID registered in the parking lot database 15 and a state flag, when full / vacant information is received (step S108: Yes), The generated full / vacancy information is output to the information output unit 23.

  The request receiving unit 22 receives position information indicating the current position of the terminal device 52 from the terminal device 52, and generates only full information on parking lots existing within a predetermined range from the position indicated by the position information. May be. For example, the request reception unit 22 determines whether or not the position or area indicated by the position information registered in the parking lot database 15 falls within a predetermined range from the position information received from the terminal device 52. And the request | requirement reception part 22 is registered into the parking lot database 15, when the position and area | region which the position information registered into the parking lot database 15 show are in the predetermined range from the positional information received from the terminal device 52. Fullness information is generated using the parking lot ID and the state flag associated with the position information.

  The information output unit 23 outputs the determination result by the determination unit 20 to another device. Specifically, when the information output unit 23 receives full / vacant information from the request receiving unit 22, the information output unit 23 distributes the received full / vacant information to the terminal device 52 that is a request source of full / vacant information (step S109).

  Note that the collection unit 18 skips step S102 when probe data is not received (step S101: No). In addition, when the extraction unit 19 determines that it is not the predetermined analysis timing (step S103: No), the extraction unit 19 skips steps S104 to S107. If the request reception unit 22 has not received a request for full information (step S108: No), the request reception unit 22 skips step S109.

[4. Modified example]
The information processing apparatus 10 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the information processing apparatus 10 will be described.

[4-1. About criteria for determining whether or not the vehicle is full]
The information processing apparatus 10 described above determines that the parking lot is full when the vehicle decelerates around the parking lot by a predetermined threshold or more and passes around the parking lot. However, the embodiment is not limited to this. For example, the information processing apparatus 10 may determine whether the parking lot is full based on a change in the speed of the vehicle around the entrance of the parking lot and a state of the vehicle located around the vehicle. Good.

  Specifically, the extraction unit 19 includes probe data of the last vehicle that is the last vehicle that has passed around the parking lot, and probe data of a preceding vehicle that is one or more vehicles traveling in front of the vehicle. To extract. Further, the determination unit 20 calculates changes in the position, speed, and speed of the final vehicle and the preceding vehicle around the parking lot from the probe data of the final vehicle and the preceding vehicle. Then, the determination unit 20 determines whether or not the parking lot is full according to the inter-vehicle distance, which is the difference in position between the last vehicle and the preceding vehicle, both speeds, changes in both speeds, and the like.

  For example, when the inter-vehicle distance between the last vehicle and the preceding vehicle is shorter than a predetermined threshold and the speed of the preceding vehicle is slow, the speed of the final vehicle is also slowed by the preceding vehicle. As a result, when the information processing apparatus 10 determines whether the parking lot is full based on the speed change of the final vehicle, the information processing apparatus 10 may make an erroneous determination. Therefore, if the inter-vehicle distance is less than the predetermined threshold and both speeds are slower than the predetermined threshold, the determination unit 20 cancels the determination whether the parking lot is full and ends the process. To do. On the other hand, the determination unit 20 determines whether the parking lot is full based on the speed change of the final vehicle when the inter-vehicle distance is longer than a predetermined threshold or when both speeds are higher than the predetermined threshold. Determine whether.

  Note that the determination unit 20 reduces the vehicle speed by a predetermined threshold value or more, accelerates the vehicle speed by a predetermined threshold value after the vehicle passes through the entrance of the parking lot, and leads the preceding vehicle around the parking lot. If the vehicle speed has not decreased more than a predetermined threshold value, it may be determined that the parking lot is full. In addition, when it is not appropriate to determine whether the parking lot is full based on the speed change of the final vehicle, the determination unit 20 obtains probe data of a vehicle traveling ahead of the final vehicle. It may be determined that it is probe data of a new final vehicle, and whether or not the parking lot is full is determined according to the vehicle interval, speed, speed change, and the like with the preceding vehicle.

  In addition, if the final vehicle decelerates around the parking lot even though the preceding vehicle is traveling at a predetermined speed, the driver of the final vehicle checks whether the parking lot is full. It is estimated that Therefore, the determination unit 20 decelerates the speed of the final vehicle by a predetermined threshold value or more, accelerates the final vehicle by a predetermined threshold value after passing through the entrance of the parking lot, and speeds the preceding vehicle around the parking lot. May not be decelerated more than a predetermined threshold, it may be determined that the parking lot is full.

  The conditions for determining whether the parking lot is full are not limited to those described above. For example, the determination unit 20 determines whether the parking lot is full by using any combination of the speed and speed change of the final vehicle, the speed and speed change of the preceding vehicle, the inter-vehicle distance between the final vehicle and the preceding vehicle, and the like. It may be determined whether or not. That is, the determination unit 20 changes the speed of the reference vehicle as a reference when determining whether the parking lot is full and the state of the vehicle traveling around the reference vehicle (for example, speed, position, etc.). Based on this, it may be determined whether the parking lot is full.

[4-2. About the update of expected shipping time]
The update unit 21 described above returns the state flag to “0” when the expected departure time has elapsed from the full vehicle time or when the parking lot has been loaded or unloaded, thereby filling the parking lot indicated by the parking lot ID. Updated empty information. Here, the update unit 21 calculates an average delivery interval that is an average value of the time intervals at which the vehicle exits from the parking lot, and detects that the vehicle has entered the parking lot that is determined to be full by the determination unit. When it does, you may update the average delivery interval of a parking lot.

  For example, when the determination unit 20 determines whether the vehicle has left the parking lot using the probe data, and determines that the vehicle has left the parking lot, the determination unit 20 and the time at which the vehicle has left Is notified to the update unit 21. The update unit 21 registers the history of the time when the vehicle leaves for each parking lot in the storage unit 12 or the like. And if the update part 21 receives that the vehicle left from the parking lot and the time when the vehicle left, using the history of the time when the vehicle left from the parking lot and the newly received time, The average value of the time interval at which the vehicle leaves from the parking lot is calculated, and the calculated value is registered in the parking lot database 15 as the expected departure time.

  In addition, the update unit 21 receives a notification that the vehicle has entered from the determination unit 20 and the time. In such a case, the update unit 21 determines whether or not the status flag of the parking lot where the vehicle has entered is “1”. Then, when the status flag of the parking lot where the vehicle has entered is “1”, the update unit 21 sets the status flag to “0” and sets the received time as the time when the vehicle leaves the parking lot database. The expected shipping time registered in 15 is updated.

  That is, in a certain parking lot, it is assumed that the information processing apparatus 10 could not properly detect the warehousing when the warehousing is performed despite the fact that the information processing apparatus 10 is full. Is done. Therefore, when the update unit 21 stores that the parking lot is full, but detects that the vehicle has entered, the update unit 21 indicates the time when the entry was performed. As a result, the expected shipping time is updated.

[4-3. About the process to determine the vacancy of the parking lot]
In the above description, the update unit 21 determines that there is a vacancy in the parking lot when the vehicle is loaded and unloaded. Moreover, the update part 21 determined with the parking lot having space | vacation, when the expected leaving time passed from the full time. However, the embodiment is not limited to this.

  For example, the information processing device 10 performs the following processing when the terminal device 52 has the function of a navigation server that performs route search and provision of route information when the terminal device 52 executes guidance processing, or when the terminal device 52 can communicate with the navigation server. Run. First, the information processing apparatus 10 acquires the position of the terminal device 52 that has started an application that causes the terminal device 52 to execute a guidance process. It is assumed that such a position is transmitted from the terminal device 52 to the navigation server at the time of a route search request or processing at the time of application activation.

  In addition, when the information processing apparatus 10 acquires the position of the terminal device 52 that started the application, the information processing apparatus 10 determines whether or not the position is included in the parking lot area. Here, when the application which performs a guidance process in the area | region of a parking lot is started, it is estimated that the user who started this application leaves a vehicle. Therefore, when the position of the terminal device 52 that started the application is included in the parking lot area, the information processing device 10 outputs a notice to the effect that the parking lot is vacant to other terminal devices. Also good.

[4-4. About other parking lot recommendations]
The information distribution part 17 mentioned above transmitted the fullness information of the parking lot located in the vicinity of the terminal device 52. However, the embodiment is not limited to this. For example, when the parking lot located closest to the terminal device 52 is full or when the parking lot located near the terminal device 52 is full, the information distribution unit 17 Other parking lots may be recommended.

  Specifically, the information distribution unit 17 calculates a full rate based on a time interval when each parking lot is full, and the terminal device 52 is out of the parking lots within a predetermined range from the terminal device 52. The parking lot information with a full vehicle rate lower than a predetermined threshold may be transmitted. For example, the information distribution unit 17 monitors the parking lot database 15 and measures the time when the value of the state flag is “1” for each parking lot. Moreover, the information delivery part 17 calculates the value which divided the measured time by predetermined time (for example, 24 hours) as a vehicle full rate. Moreover, when the status flag of the parking lot located in the nearest vicinity of the terminal device 52 is “1”, the information distribution unit 17 specifies the full rate of the parking lot existing within a predetermined range from the terminal device 52. . And the information delivery part 17 recommends to the terminal device 52 the parking lot with the lowest value of a full vehicle rate among the parking lots which exist in the predetermined range from the terminal device 52.

  In addition, the information distribution unit 17 may calculate a score based on the full rate and the distance between the parking lot and the terminal device for each parking lot, and notify the terminal device of the parking lot according to the calculated score. . For example, when the status flag of the parking lot located in the nearest vicinity of the terminal device 52 is “1”, the information distribution unit 17 and each terminal parking lot within the predetermined range from the terminal device 52 and the terminal device 52 And the distance to each is calculated. In addition, the information distribution unit 17 calculates the full rate of each parking lot within a predetermined range from the terminal device 52, and calculates the product of the calculated full rate and distance as a score. And the information delivery part 17 recommends to the terminal device 52 the parking lot where the calculated score is the lowest among the parking lots which exist in the predetermined range from the terminal device 52 as a secret parking lot.

  In the above description, the information distribution unit 17 recommends the parking lot with the lowest value of the full vehicle rate or the parking lot with the lowest calculated score, but the embodiment is not limited to this. For example, the information distribution unit 17 may recommend all parking lots whose full vehicle rate or score is lower than a predetermined threshold. In addition, when calculating the score, the information distribution unit 17 may apply a predetermined coefficient or weight instead of the product of the full vehicle rate and the distance, or may consider other parameters.

  In addition, when the terminal device 52 sets the purpose to a parking lot, the information distribution unit 17 determines whether or not the parking lot is full. Other parking lots may be recommended.

[4-5. About judgment processing using other information]
The information processing apparatus 10 described above determines whether the parking lot is full using the probe data registered in the probe database 14. In addition, the information processing apparatus 10 determines whether or not to determine whether or not the parking lot is full using probe data of the last vehicle and the preceding vehicle. However, the embodiment is not limited to this. For example, the information processing apparatus 10 may determine whether to determine whether or not the parking lot is full based on geographical information and the content of an operation on the vehicle on which the terminal device 52 is installed.

  For example, the information processing apparatus 10 stores map data including the position of a traffic signal installed on a road. And the extraction part 19 determines whether the traffic signal is installed in the vicinity of this parking lot, when extracting the probe data which concern on a parking lot. Here, when the road adjacent to the parking lot is a double track road, the extraction unit 19 may determine whether or not the traffic light is set before the entrance of the parking lot. And when the extraction part 19 determines with the traffic signal being installed in the vicinity of a parking lot, what is necessary is just to extract the probe data which concerns on another parking lot, without extracting probe data.

  In addition, if the information processing apparatus 10 can identify whether the signal is red or blue, if the signal is blue, the probe data related to the parking lot near the signal is used. Whether the parking lot is full is determined, and if the signal is red, it is not necessary to determine whether the parking lot near the signal is full. Here, as a method for identifying whether the signal is red or blue, for example, an intelligent transport system (ITS) can be obtained from a camera of the vehicle 50 or the terminal device 52, a signal control system, or the like. It is only necessary to determine whether the signal is red or blue by receiving information through the network or other technical means.

  Further, the information processing apparatus 10 may determine whether to determine whether or not the parking lot is full based on the traffic jam information. For example, the information processing apparatus 10 acquires traffic jam information from VICS (registered trademark) (Vehicle Information and Communication System) or the like. And the extraction part 19 does not need to extract probe data about the parking lot located in the vicinity of this area, specifying the area | region where the traffic jam has arisen based on the acquired traffic jam information.

  Further, the information processing apparatus 10 may determine whether to determine whether or not the parking lot is full in response to an operation on the vehicle on which the terminal device 52 is installed. For example, the information processing apparatus 10 determines whether or not the vehicle 50 is taking out the blinker in the direction of the parking lot from the control system of the vehicle 50, an image taken by the camera of the terminal device 52 installed in the vehicle 50, or the like. To do. And when the information processing apparatus 10 takes out the turn signal in the direction of the parking lot around the parking lot and the vehicle 50 decelerates around the parking lot, or when the vehicle 50 stops around the parking lot, It may be determined that the parking lot is full. In other words, the information processing apparatus 10 may determine that the parking lot is full, for example, when it can be determined that the vehicle 50 is waiting for the exit of another vehicle while taking out the blinker around the parking lot.

  Even if the use of turn signals is not a condition, if one or more vehicles have stopped near the entrance of the parking lot, that is, in front, for a predetermined time (for example, several minutes) or more, It can be determined that the parking lot is full. As a result, since the vehicle waiting for delivery has already stopped before the parking lot, even when another vehicle that does not intend to park until it waits passes without changing the speed, it can be determined that the vehicle is full. This criterion for determination may be used in combination with a change in the speed of the vehicle around the parking lot, or may be used alone.

  In addition, if the information processing apparatus 10 transmits the number of parked vehicles to the terminal device 51 together with the full availability information and displays it together with the full availability information, the user of the terminal device 51, that is, the vehicle 50 The driver can use the number of parked vehicles in determining whether he / she waits after that.

[4-6. About Embodiment]
In the embodiment described above, the information processing apparatus 10 receives probe data from the terminal device 52 such as a terminal device mounted on the vehicle 50, and executes the above-described processing using the received probe data. However, the embodiment is not limited to this. For example, the information processing device 10 may be a terminal device installed in the vehicle 50. That is, the information processing apparatus 10 determines whether or not the parking lot is full based on the position and speed of other vehicles in a network in which a plurality of vehicles notify each other of the position and speed. Good.

  That is, the information processing apparatus 10 may operate as a terminal device installed in each vehicle in a network in which vehicles transmit and receive probe data. Further, the information processing apparatus 10 determines whether or not the parking lot is full using the position and speed of the vehicle in which the apparatus is installed, and information on the parking lot determined to be full, You may notify with respect to the information processing apparatus of another vehicle. Similarly to the information processing apparatus 10, the information processing apparatus 10 collects the parking lot availability information from the terminal device 52 that determines whether the parking lot is full, and variously collects the collected availability information. You may distribute to a terminal device etc.

  Further, the information processing apparatus 10 may be realized by cooperation of a plurality of terminal devices 52. For example, the terminal device 52 has a parking lot database, and measures the position of the own device and the speed of the vehicle on which the own device is installed. Then, the terminal device 52 uses the measured position and speed to determine whether the parking lot through which the vehicle on which the device is installed is full and notifies the other terminal devices of the determination result. May be.

  As described above, when the information processing apparatus 10 is a terminal device mounted on the vehicle 50, the distance between the front vehicle and the distance between the front vehicle and the front vehicle are measured using a camera or the like that captures the front of the vehicle 50. The speed, the speed of the vehicle in which the device is installed, and the presence / absence of a blinker may be measured, and the measurement result may be used to determine whether to execute a process for determining whether the parking lot is full.

[4-7. About device configuration]
The information processing apparatus 10 does not have to be a single information processing apparatus, and may be realized by a plurality of information processing apparatuses such as a cloud system operating in cooperation. For example, the information processing apparatus 10 is empty from the parking lot database 15 in the same manner as the information analysis server and the information distribution unit 17 that manages the parking lot database 15 as well as the collection server that collects probe data and the information analyzing portion 16. It may be realized by operating in cooperation with an information distribution server that distributes information. Further, the information processing apparatus 10 may have a function of a navigation server that specifies and distributes a route displayed in the guidance process. Further, the function exhibited by the information distribution unit 17 is not necessarily an essential configuration.

[4-8. Others]
Of the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or all of the processes described as being performed manually or A part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information. Further, for example, the UI (User Interface) of the application shown in each drawing is not limited to this.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

[5. effect]
As described above, the information processing apparatus 10 determines whether or not the parking lot is full based on a change in the speed of the vehicle around the parking lot, and outputs the determination result to another device. For this reason, the information processing apparatus 10 can acquire vacancy information of an arbitrary parking lot without setting the parking lot as a destination in the guidance process or acquiring vacancy information from the parking lot management system.

  Further, the information processing apparatus 10 determines whether or not the parking lot is full based on a change in the vehicle speed around the entrance of the parking lot. Therefore, the information processing apparatus 10 can accurately determine whether or not the parking lot is full.

  Further, the information processing apparatus 10 determines that the parking lot is full when the speed of the vehicle decelerates by a predetermined threshold or more and the vehicle passes through the entrance of the parking lot. Therefore, the information processing apparatus 10 can accurately determine whether or not the parking lot is full even when the parking lot is not set as the destination.

  In addition, the information processing apparatus 10 determines that the parking lot is full when the vehicle speed is reduced by a predetermined threshold value or more and the vehicle speed is accelerated by a predetermined threshold value or more after the vehicle passes through the parking lot entrance. It is determined that Therefore, the information processing apparatus 10 can accurately determine whether or not the parking lot is full even when the parking lot is not set as the destination.

  Further, the information processing apparatus 10 determines whether or not the parking lot is full based on the change in the speed of the vehicle around the entrance of the parking lot and the state of the vehicle located around the vehicle. For this reason, since the information processing apparatus 10 determines whether the parking lot is full in consideration of the flow of a plurality of vehicles, it can determine more accurately whether the parking lot is full.

  In addition, the information processing apparatus 10 reduces the vehicle speed by a predetermined threshold value or more, accelerates the vehicle speed by a predetermined threshold value after the vehicle passes the parking lot entrance, and precedes the parking lot. If the vehicle speed has not decreased more than a predetermined threshold, it is determined that the parking lot is full. For this reason, the information processing apparatus 10 can determine more accurately whether the parking lot is full.

  Further, when the information processing apparatus 10 detects that the vehicle has left the parking lot, the information processing apparatus 10 determines that the parking lot is empty. For this reason, the information processing apparatus 10 can appropriately manage the availability information.

  The information processing apparatus 10 determines that the parking lot is full when a predetermined number or more of vehicles stop around the entrance of the parking lot. Therefore, the information processing apparatus 10 can accurately determine whether or not the parking lot is full.

  Further, the information processing apparatus 10 outputs information indicating the number of vehicles parked around the entrance of the parking lot together with the fullness information. For this reason, the information processing apparatus 10 can provide the number of parked vehicles around the entrance of the parking lot as a material for the user to determine whether to wait until the parking lot is free.

  In addition, the information processing apparatus 10 calculates an expected delivery time that is an average value of the time interval at which the vehicle leaves, and if it detects that the vehicle has entered the parking lot that is determined to be full, the parking lot Update the expected shipping time for. For this reason, since the information processing apparatus 10 updates the expected delivery time in accordance with the receipt of the vehicle even when it is not possible to detect that the parking lot is vacant, as a result of reducing the expected delivery time error, It is possible to improve the accuracy of fullness information.

  In addition, the information processing apparatus 10 outputs a notice that the parking lot is vacant when the activation of the application for executing the guidance process is detected in the parking lot area determined to be full. For this reason, since the information processing apparatus 10 can notify the user of a parking space vacancy notice, the convenience of the user can be improved.

  In addition, the information processing device 10 calculates a full rate based on a time interval when each parking lot is full, and the full rate is lower than a predetermined threshold among the parking lots existing within a predetermined range from the terminal device. Send parking information. For this reason, since the information processing apparatus 10 can notify the user of information for predicting whether or not the parking lot is vacant, the convenience of the user can be improved.

  In addition, the information processing device 10 calculates a score based on a full rate based on a time interval when the parking lot is full and a distance from the terminal device for each parking lot, and sets a parking lot corresponding to the calculated score. Notify the terminal device. For this reason, since the information processing apparatus 10 can notify the user of information for predicting whether or not the parking lot is vacant, the convenience of the user can be improved.

[6. program]
The information processing apparatus 10 and the terminal apparatus 52 according to the above-described embodiments are realized by a computer 1000 having a configuration as shown in FIG. 6, for example. Hereinafter, the information processing apparatus 10 will be described as an example. FIG. 6 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the network N.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the information processing apparatus 10 or the terminal device 52 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 13 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 12, that is, various databases 14 and 15. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

  As mentioned above, although this invention was demonstrated using embodiment, the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be made to the above-described embodiment. In addition, it is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

DESCRIPTION OF SYMBOLS 10 Information processing apparatus 11 Communication part 12 Storage part 13 Control part 14 Probe database 15 Parking lot database 16 Information analysis part 17 Information distribution part 18 Collection part 19 Extraction part 20 Determination part 21 Update part 22 Request reception part 23 Information output part 23

Claims (17)

  1. When the difference in position between a predetermined vehicle traveling around the parking lot and a preceding vehicle traveling in front of the vehicle is shorter than a predetermined threshold and the speed of the preceding vehicle is slower than the predetermined threshold The determination whether the parking lot is full is not performed, and the difference in position between the predetermined vehicle and the preceding vehicle is longer than a predetermined threshold, or the speed of the preceding vehicle is a predetermined threshold If faster than, a determination unit that determines whether the parking lot is full based on a change in the speed of the predetermined vehicle around the parking lot;
    An information processing apparatus comprising: an output unit that outputs a determination result by the determination unit to another device.
  2. A determination unit that determines whether the parking lot is full based on a change in the speed of the vehicle around the parking lot;
    A full rate is calculated based on the time interval at which each parking lot is full, and the full rate is within the predetermined range from the terminal device to the terminal device that is the transmission destination of the determination result. An information processing apparatus comprising: an output unit that outputs information on a parking lot lower than a predetermined threshold value to another apparatus.
  3. The output unit calculates, for each parking lot, a score based on a full rate based on a time interval in which the parking lot is full and a distance from a terminal device that is a transmission destination of the determination result. The information processing device according to claim 2 , wherein a parking lot corresponding to the score is notified to the terminal device.
  4. Furthermore, the determination unit does not determine whether the parking lot is full when there is a traffic signal around the parking lot, and does not determine whether the parking lot is around the parking lot. Determine whether the parking lot is full based on changes in vehicle speed around the parking lot
    The information processing apparatus according to any one of claims 1 to 3.
  5. Further, when the traffic jam occurs around the parking lot , the determination unit does not determine whether or not the parking lot is full, and the traffic jam does not occur around the parking lot. Determines whether the parking lot is full based on a change in vehicle speed around the parking lot.
    The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus.
  6. The said determination part determines whether the said parking lot is full based on the change of the speed of the vehicle around the entrance of the said parking lot. The any one of Claims 1-5 characterized by the above-mentioned. Information processing apparatus described in one.
  7.   The said determination part determines that the said parking lot is full when the speed of the said vehicle decelerates more than a predetermined threshold value, and the said vehicle passes the entrance of the said parking lot. The information processing apparatus according to any one of 1 to 6.
  8.   If the vehicle speed is reduced by a predetermined threshold value or more and the vehicle speed is accelerated by a predetermined threshold value or more after the vehicle has passed through the entrance of the parking lot, The information processing apparatus according to claim 1, wherein the information processing apparatus determines that the vehicle is full.
  9. The determination unit determines whether or not the parking lot is full based on a change in the speed of the vehicle around the entrance of the parking lot and a state of a vehicle located around the vehicle. The information processing apparatus according to any one of claims 1 to 8.
  10.   The determination unit is configured such that the speed of the vehicle decelerates by a predetermined threshold or more, and the speed of the vehicle accelerates by a predetermined threshold or more after the vehicle passes through the entrance of the parking lot, and the surroundings of the parking lot In any one of Claims 1-9, when the speed of the vehicle which drive | works ahead of the said vehicle does not decelerate more than a predetermined threshold value, it determines with the said parking lot being full. The information processing apparatus described.
  11. The information according to any one of claims 1 to 10, wherein the determination unit determines that there is an empty space in the parking lot when detecting that the vehicle has left the parking lot. Processing equipment.
  12. The determination unit determines that the parking lot is full when a predetermined number or more of vehicles stop around the entrance of the parking lot. The information processing apparatus as described in any one.
  13. The information processing apparatus according to claim 12, wherein the output unit outputs information indicating a number of vehicles parked around an entrance of the parking lot together with a determination result by the determination unit.
  14. An average delivery interval that is an average value of the time intervals at which vehicles exit from the parking lot is calculated, and when it is detected that the vehicle has entered the parking lot that is determined to be full by the determination unit, 14. The information processing apparatus according to claim 1, further comprising an update unit configured to update the average delivery interval of the parking lot.
  15. The output unit outputs a notice that an empty space is generated in the parking lot when activation of an application for executing the guidance process is detected in the parking lot area determined to be full by the determination unit. The information processing apparatus according to any one of claims 1 to 14, wherein the information processing apparatus includes:
  16. An information processing method executed by an information processing apparatus,
    When the difference in position between a predetermined vehicle traveling around the parking lot and a preceding vehicle traveling in front of the vehicle is shorter than a predetermined threshold and the speed of the preceding vehicle is slower than the predetermined threshold The determination whether the parking lot is full is not performed, and the difference in position between the predetermined vehicle and the preceding vehicle is longer than a predetermined threshold, or the speed of the preceding vehicle is a predetermined threshold If it is faster, a determination step of determining whether the parking lot is full based on a change in speed of the predetermined vehicle around the parking lot;
    And an output step of outputting the determination result in the determination step to another device.
  17. On the computer,
    When the difference in position between a predetermined vehicle traveling around the parking lot and a preceding vehicle traveling in front of the vehicle is shorter than a predetermined threshold and the speed of the preceding vehicle is slower than the predetermined threshold The determination whether the parking lot is full is not performed, and the difference in position between the predetermined vehicle and the preceding vehicle is longer than a predetermined threshold, or the speed of the preceding vehicle is a predetermined threshold A determination procedure for determining whether the parking lot is full based on a change in the speed of the predetermined vehicle around the parking lot,
    And an output procedure for outputting a determination result in the determination procedure to another device.
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JP2001325379A (en) * 2000-05-18 2001-11-22 Mitsubishi Electric Systemware Corp Parking lot information retrieval system
JP2008158562A (en) * 2006-12-20 2008-07-10 Toyota Motor Corp Traffic information distribution center, probe device for vehicle, traffic information system, and traffic information distribution method for traffic information distribution center
JP4893465B2 (en) * 2007-05-17 2012-03-07 株式会社デンソー Route information providing system and route information providing device
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JP2009289174A (en) * 2008-05-30 2009-12-10 Aisin Aw Co Ltd Parking lot information determination system and program
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JP2011198222A (en) * 2010-03-23 2011-10-06 Nec Corp Parking lot guide system, parking lot guide method, and program
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