JP2019096086A - Information processing device - Google Patents

Abstract

To provide an information processing device with enhanced accuracy concerning a degree of parking difficulty, for example.SOLUTION: A first server device 10 acquires parking operation information indicating a parking operation when parking is performed in a parking space and parking state information indicating position information of a vacant parking space in a parking lot. Whenever parking operation information is acquired, the first server device 10 obtains easiness to park on the basis of parking operation information. The first server device 10 generates easiness to park corresponding to current parking state information on the basis of obtained easiness to park, parking operation information at that time, and a history of parking state information, and outputs the generated easiness.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus, an information processing method, an information processing program, and a recording medium recording the information processing program.

  Conventionally, when a vehicle parks in a parking lot, the use difficulty level (= parking difficulty level) is set for each parking spot based on the “number of turns” and the “opening / closing angle of the door after parking”, There has been proposed a parking lot information provision system for guiding a parking lot of a degree of difficulty according to the driving skill level of the user (Patent Document 1). Further, Patent Document 1 describes that the degree of difficulty of use is corrected based on the vacant rate of the parking lot.

  However, in the conventional parking lot information provision system, there is an issue that the accuracy of the obtained use difficulty level is not very high because the vacant car situation in the surroundings at the time of parking is not considered.

JP, 2010-91465, A

  The present invention takes as an example the problem to address such problems. That is, an object of the present invention is, for example, to provide an information processing apparatus in which the accuracy of the degree of parking difficulty is enhanced.

  The information processing apparatus according to claim 1, which has been made to solve the above-mentioned problems, includes an acquisition unit that acquires parking status information indicating position information of a vacant parking space of the current parking lot, and the acquisition unit acquires And generating means for generating a parking difficulty level corresponding to the parking status information.

  The information processing method according to claim 9 includes the steps of acquiring parking status information indicating position information of a vacant parking space of a current parking lot, and generating a parking difficulty corresponding to the acquired parking status information , And characterized in that.

  The information processing program according to claim 10 is an information processing program executed by a computer that controls the information processing apparatus, and is an acquiring unit that acquires parking status information indicating position information of a vacant parking space of the current parking lot. The computer is caused to function as a generation unit that generates a parking difficulty level corresponding to the parking status information acquired by the acquisition unit.

  A recording medium according to claim 11 is characterized in that the information processing program according to claim 10 is recorded.

FIG. 1 is a block diagram showing an information providing system of a parking lot incorporating an information processing apparatus of the present invention in a first embodiment. It is a block diagram which shows the structure of the 1st server apparatus shown in FIG. It is a block diagram which shows the structure of the vehicle equipment shown in FIG. It is a flowchart which shows the locus | trajectory scoring process procedure of the 1st server apparatus shown in FIG. (A) is a figure which shows the parking locus | trajectory of the vehicle in the parking condition which is hard to park, (B) is a figure which shows the parking locus of the vehicle in the parking condition which is easy to park. It is a time chart for demonstrating the detail of step S10 of FIG. It is explanatory drawing for demonstrating the scoring model used by FIG.4 S14. FIG. 1 is a flowchart showing a processing procedure for calculating the ease of parking of the first server device. It is a figure which shows an example of the screen displayed on the display part of the vehicle equipment shown in FIG. It is a block diagram which shows the information provision system of the parking lot incorporating the information processing apparatus of this invention in 2nd Example. It is a flowchart which shows the determination processing procedure of the 1st server apparatus shown in FIG. It is explanatory drawing for demonstrating the discrimination | determination process shown in FIG.

  Hereinafter, an information processing apparatus according to an embodiment of the present invention will be described. When parking the vehicle in the parking space, it can be easily parked by using the vacant surrounding parking space. In addition, if there is a car in the surrounding parking space, it is psychologically stressed and the degree of parking difficulty rises. That is, the degree of parking difficulty changes depending on which surrounding space the vehicle is at rest. An information processing apparatus according to an embodiment of the present invention, which has been made by paying attention to the above, is an information processing apparatus that generates a parking difficulty level for a parking space, wherein The information processing apparatus is characterized by comprising an acquisition unit that acquires status information, and a generation unit that generates a parking difficulty level corresponding to the parking status information acquired by the acquisition unit. As a result, the parking difficulty level corresponding to the parking status information is generated, so that the accuracy of the parking difficulty level can be enhanced.

  Further, the acquisition unit further acquires parking operation information indicating a parking operation when the vehicle is parked in a parking space of the parking lot, and the generation unit is configured to acquire the parking operation information acquired by the acquisition unit and the parking operation. The parking difficulty level corresponding to the parking status information may be generated based on the past history of the status information. As a result, the degree of parking difficulty can be determined according to the actual parking operation, and therefore the accuracy of the degree of parking difficulty can be further enhanced.

  In addition, the parking operation information may include travel information including position information of the vehicle at predetermined time intervals when the parking is performed. Further, the parking operation information may include at least one of a parking operation time indicating a time taken for parking and a number of times of turning back. Thereby, the accuracy of the parking difficulty can be further enhanced.

  Further, the generation unit obtains the parking difficulty level based on the parking operation information each time the parking operation information is acquired, and the parking operation information, the parking status information, and a past history of the parking difficulty level. The parking difficulty level corresponding to the parking status information may be generated on the basis of. Thereby, the accuracy of the parking difficulty can be further enhanced.

  Further, the generation unit includes a learning unit that generates a learning model using the parking operation information as input information and the parking difficulty level as output information, and the learning unit is used each time the parking operation information is acquired. The parking difficulty may be generated using this. The learning model can more accurately determine the parking difficulty level for the parking operation information.

  Further, storage means for storing the parking operation information, the parking status information, and the past history of the parking difficulty, and the parking difficulty having the lowest parking difficulty among the parking operation information corresponding to the current parking status information And output means for outputting As a result, it is possible to notify the user of parking operation information with a low degree of difficulty corresponding to the current parking status information.

  Further, the parking difficulty level may be a score. This makes it possible to generate the parking difficulty with finer precision.

  In the information processing method according to the embodiment of the present invention, a process of acquiring parking status information indicating position information of a vacant parking space of a current parking lot, and a parking difficulty corresponding to the acquired parking status information And a step of generating. Thereby, since the parking difficulty according to the parking status information is output, the accuracy of the parking difficulty can be enhanced.

  In addition, an information processing program that causes a computer to execute the above-described information processing method may be used. Since the program is executed by the computer as described above, dedicated hardware and the like are not required, and the program can be installed and functioned in a general-purpose information processing apparatus.

  Further, the above-described information processing program may be stored in a computer readable recording medium. By doing this, it is possible to distribute the program alone as well as incorporating the program into the device, and to easily upgrade the version.

  In addition, the display control device according to the embodiment of the present invention acquires parking status information indicating position information of a vacant parking space of the current parking lot and parking difficulty information in the current parking status regarding the vacant parking space. And a display means for displaying the vacant parking space and the degree of difficulty of parking.

(First embodiment)
Hereinafter, an information providing system incorporating a server apparatus as an information processing apparatus according to the first embodiment will be described with reference to FIGS. 1 to 3.

  The information providing system 1 includes a plurality of first server devices 10 as information processing devices, a second server device 20, and an in-vehicle device 30 which is a terminal capable of communicating with the first and second server devices 10 and 20. Have. The in-vehicle device 30 is configured of, for example, a navigation device mounted on a vehicle or the like. In the present embodiment, the on-vehicle device 30 mounted on a vehicle as a terminal capable of communicating with the server devices 10 and 20 is described as an example, but a mobile terminal such as a smartphone may be used.

  The first server device 10 is configured of a computer or the like installed in each parking lot. The first server device 10 is connected to a communication network such as the Internet or a public network. The first server device 10 can directly communicate with the in-vehicle device 30 entering the parking lot via the communication network.

  As shown in FIG. 2, the first server device 10 includes a control unit 11, a communication unit 12, a parking locus database (hereinafter, DB) 13, a storage unit 14, and an input unit 15.

  The control unit 11 is configured to include, for example, a central processing unit (CPU) including a memory such as a random access memory (RAM) or a read only memory (ROM). The control unit 11 is in charge of overall control of the first server device 10. The control unit 11 is a parking condition indicating parking operation information indicating a parking operation when parking is executed from locus information (travel information) described later transmitted from the in-vehicle device 30 and a parking condition indicating position information of a vacant parking space of a parking lot Get information and Furthermore, the control unit 11 generates ease of parking (parking difficulty level) according to the parking status information of the parking lot based on the parking operation information and the parking status information.

  The communication unit 12 communicates with the in-vehicle device 30, and receives the trajectory information and the like. The communication unit 12 may directly communicate with the in-vehicle device 30, or may communicate via a communication network such as the Internet or a public network.

  The parking locus DB 13 as the storage means is such that whenever one vehicle parks in the parking lot and receives locus information from the in-vehicle device 30, the parking operation information, the parking status information at that time, the parking difficulty at that time It is a database in which degrees and the like are associated and stored. That is, the parking locus DB 13 stores parking operation information, parking status information, and a past history of parking difficulty.

  The storage unit 14 stores various types of information necessary for processing in the first server device 10.

  By the way, a plurality of parking spaces are provided in the parking lot. Each parking space is provided with a sensor that detects the presence or absence of a vehicle and detects a vacant state. Detection results of sensors provided in a plurality of parking spaces are input to the input unit 15.

  In the present embodiment, one first server device 10 is provided for one parking lot, but the present invention is not limited to this. Only one first server device 10 may be provided for a plurality of parking lots. Further, two or more first server devices 10 may be provided for one parking lot. For example, the operation performed by the control unit 11 and the operation performed by the communication unit 12 may be divided into separate first server devices (a calculation server device and a distribution server device). In such a case, the respective first server devices may be installed at mutually separated positions and configured to communicate with each other through a communication network.

  The second server device 20 is configured of a computer (not shown), and is provided to be communicable with the plurality of first server devices 10 and the in-vehicle device 30. The second server device 20 receives the ease of parking according to the parking status information generated by the first server device 10, and provides the in-vehicle device 30 with the ease of parking.

  As illustrated in FIG. 3, the in-vehicle device 30 includes a control unit 31, a communication unit 32, a GPS reception unit 33, a storage device 34, an input unit 35, and a display unit 36.

  The control unit 31 is configured by a CPU including a memory such as a RAM or a ROM, for example, and controls the entire on-vehicle apparatus 30.

  The communication unit 32 communicates with the first server device 10. In the present embodiment, an example in which the communication unit 32 is integrally provided to the in-vehicle device 30 is shown, but the communication unit 32 is configured separately, such as connecting a card type communication device or a mobile telephone by a cable or the like. , And the vehicle-mounted device 30 may be detachable.

  The GPS receiving unit 33 periodically receives radio waves oscillated from a plurality of GPS (Global Positioning System) satellites as is well known, obtains current position information and time, and outputs it to the control unit 31. In the present embodiment, an example in which the GPS receiving unit 33 is integrally provided to the in-vehicle device 30 is shown, but the GPS receiving unit 33 may be configured separately and be detachable from the in-vehicle device 30. .

  The storage device 34 is configured of, for example, a hard disk or a non-volatile memory, and is read and written under the control of the control unit 31.

  The input unit 35 inputs information of various sensors that detect the driving operation of the vehicle. Examples of the various sensors include a gyro sensor that detects the direction of the vehicle, a position detection sensor that detects the position of a gear, and a speed sensor that detects the speed of the vehicle.

  The display unit 36 displays the ease of parking according to the parking situation of each parking lot transmitted from the second server device 20 and the ease of parking of each parking space.

  Next, an example of the operation of the information providing system 1 configured as described above will be described with reference to FIGS. The flowcharts of FIGS. 4 and 8 are executed by the first server device 10. Moreover, the control part 11 of the 1st server apparatus 10 becomes an information provision program which makes a computer perform the information provision method by making this flowchart into a computer program.

  First, when the vehicle-mounted device 30 enters from the entrance of a parking lot where a plurality of parking spaces are arranged, the vehicle-mounted device 30 transmits trajectory information to the first server device 10 at predetermined time intervals. The locus information xi is time series data including the time ti, the speed v of the vehicle at the time ti, the position information of the vehicle at the time ti (coordinates lat_i, lon_i), and the direction / angle α of the vehicle at the time ti It is information indicating a movement locus. Time ti, position information, (coordinates lat_i, lon_i) are information received from the GPS receiving unit 33. The velocity vi and the direction / angle α are detection results of the velocity sensor and the gyro input from the input unit 35.

  The first server device 10 receives the trajectory information transmitted from the in-vehicle device 30, and accumulates and stores the information in a temporary storage unit (not shown). The control unit 11 of the first server device 10 (hereinafter simply referred to as "first server device 10") is easily parked from the trajectory information of the vehicle at that time, whenever one vehicle enters the entrance from the entrance and parking is completed. The trajectory scoring process shown in FIG.

  In the trajectory scoring process, the first server device 10 actually starts parking from the trajectory information transmitted from the time when the vehicle is received from the entrance of the parking lot to the time when the parking is ended. Trajectory information until the end is extracted (step S10).

  The purpose of performing this step S10 will be described. Now, as shown to FIG. 5 (A), it is assumed that locus | trajectory information x1-x11 from the time of warehousing to the time of completion | finish of parking is transmitted to the 1st server apparatus 10. In FIG. Generally, when the vehicle enters the parking lot, the vehicle travels while searching for a parking space to be parked and then moves to the vicinity of the parking space (locus information x1 to x3 in FIG. 5A is input) While). Thereafter, the vehicle starts parking and ends parking (while trajectory information x4 to x11 in FIG. 5A is input). That is, the locus information related to the ease of parking is only the locus information x4 to x11 among the locus information x1 to x11. The locus information x4 to x11 is extracted in step S10.

  Next, an example of a specific extraction method of step S10 will be described with reference to FIG. In the example shown in the figure, locus information is input at timings of time {t0, t2... T (i-1), ti, t (i + 1). Generally, a vehicle travels at a certain speed until it moves in the vicinity of a parking space that it is desired to park after receiving it. Moving close to the parking space, the vehicle slows down and starts parking. After that, the vehicle parks at a low speed, and when the parking is completed, the speed becomes zero and the vehicle stops.

  Therefore, in the present embodiment, the trajectory information during the continuation of the vehicle speed equal to or less than the threshold SPth is extracted as trajectory information from the parking start time ti to the parking completion time tstp. In the example shown in FIG. 6, the vehicle speed is continuously higher than the threshold value SPth during the storage time t0 to the time t (i-1), and continuously between the time t (i-1) and the parking end time tstp. The vehicle speed is equal to or less than the threshold SPth. Therefore, time t (i-1) is extracted as locus information from parking start time ti to parking end time tstp, with the parking start time.

  According to the operation of step S1, as shown in FIG. 5A, when parked in the parking space B slightly behind the entrance, the track information x1 to x3 whose vehicle speed is larger than the threshold SPth is excluded and is smaller than the threshold SPth. Trajectory information x4 to x11 is extracted. On the other hand, as shown in FIG. 5 (B), when the vehicle is parked in the parking space A near the entrance, the vehicle speed continues to be equal to or lower than the threshold SPth from the time of entering the entrance Thus, locus information x1 to x6 is extracted.

  Next, the first server device 10 obtains the time taken for parking (parking operation time) based on the extracted trajectory information (step S11). In step S11, the first server device 10 sets the time from the parking start time ti to the parking end time tstp as the parking operation time.

  Next, the first server device 10 obtains the number of times of switching based on the extracted trajectory information (step S12). By the operations of steps S10 to S12, the first server device 10 functions as an acquisition unit, and acquires parking operation information including the extracted trajectory information, the parking operation time, and the number of times of turning back.

Next, the first server device 10 functions as an acquisition unit, and acquires parking status information indicating position information of a vacant parking space of the parking lot based on the sensor result input from the input unit 15 (step S13). In the example shown in FIG. 5, since the parking lot is a small parking lot having only six parking spaces, the first server device 10 acquires parking status information as the availability of the entire parking lot as the availability around the parking space. Thereafter, the first server device 10 obtains the ease of parking based on the parking operation information (step S14). Next, the first server device 10 functions as a storage unit, and uses a parking table (shown in Table 1 below) in which the parked parking space, the parking status information, the parking operation information, and the parking ease are associated After saving (step S15), the process ends.

  The upper part of Table 1 shows an example of the parking table stored in the case shown in FIG. 5A, and the lower part of Table 1 shows an example of the parking table stored in the case shown in FIG. 5B. Indicates

  Next, the details of step S14 described above will be described with reference to FIG. The first server device 10 of the present embodiment determines the ease of parking using a scoring model which is a general learning model. First, teacher data is stored in advance in the scoring model (learning unit) of the first server device 10. The teacher data is data of points indicating ease of parking for a plurality of types of trajectory information. In the present embodiment, the score indicating the ease of parking is low if it is determined that the locus is difficult to park, and the score is high if it is determined that the locus is easy to park. Become.

  The scoring model of the first server device 10 is a scoring model that inputs trajectory information and outputs a score. When trajectory information is input, it outputs a score corresponding to the input trajectory information based on teacher data. Furthermore, the first server device 10 re-learns the inputted trajectory information and the score output by the learning model as teacher data, and improves the performance of the scoring model.

  In the example shown in FIG. 7, the input of the scoring model is only trajectory information, but it is not limited to this. It may be a scoring model in which one or more of the trajectory information, the parking time, and the number of times of turning back described above are input and the score is output. In addition, it is not essential to use a scoring model to determine how easy it is to park, and the number of turns is simply high, the score decreases as the parking time increases, the number of turns decreases, and the score decreases as the parking time decreases. It may be made higher.

  In addition, the first server device 10 is configured to calculate the ease of parking corresponding to the current parking situation shown in FIG. 8 every predetermined trigger (for example, every predetermined time, every time the parking situation changes). Execute the ease calculation process. In the ease-of-parking calculation process, the first server device 10 works as an acquisition unit, and obtains current parking status information from the input of the input unit 35 (step S21). Thereafter, the first server device 10 obtains an available parking space from the current parking status information (step S22). Next, the first server device 10 selects one of the obtained free parking spaces (step S23). Then, among the plurality of parking tables stored in the parking locus DB 13, the first server device 10 determines the “parking space”, the vacant parking space selected by the “parking status information” in step S23, and the current parking status information obtained. And extract the parking locus table that matches (step S24).

  Next, the first server device 10 functions as a generation means and an output means, calculates an average value of the points of the extracted parking locus table, and scores the ease of parking with respect to the current parking condition information of the selected vacant parking space. As (step S25). In step S25, the highest score among the extracted points in the parking path table may be stored as the score for the ease of parking with respect to the current parking status information of the selected empty parking space. If the average calculation of the parking easiness scores for all the vacant parking spaces is completed (N in step S26), the first server device 10 returns to step S23, and selects the next vacant parking space. Calculate the average of the ease of parking for the next vacant parking space.

  On the other hand, if the first server device 10 has calculated the average of the parking easiness scores for all the vacant parking spaces (Y in step S26), the parking easiness scores calculated for each vacant parking space Further, the average of the average of the two is calculated (step S27). The average calculated in step S27 is the score for the ease of parking of the entire parking lot. In step S27, the first server device 10 may set the highest score among the extracted parking locus tables as the score for the ease of parking of the entire parking lot. After that, the first server device 10 adds to the score of ease of parking for each vacant parking space calculated in step S25 and the score of ease of parking of the entire parking lot calculated in step S27. The 1 server device 10 ends the process after transmitting, to the second server device 20, trajectory information having the highest score in the parking trajectory table that matches the current parking condition information (step S28). Thereby, the score of the ease of parking corresponding to the present parking condition of each parking lot is transmitted to the second server device 20.

  In addition, when the user who is in the vehicle performs an operation to request information on parking lots a to f near the destination set by the navigation function of the in-vehicle device 30, the in-vehicle device 30 causes the second server device 20 to A request signal is transmitted via the communication network. In response to the request signal, the second server device 20 acts as an output means, and for each of the parking lots a to f near the destination, the parking ease received from the first server device 10 by the parking ease calculation process described above The site map of the parking lots a to f is transmitted to the on-vehicle device 30 in addition to the point information and the locus information with the highest point value.

  When the on-vehicle device 30 receives this, as shown in FIG. 9, the on-map score for the ease of parking is displayed on the map at the positions of the parking lots a to f. In addition, when the user clicks one of the parking lots a to f displayed on the display unit 36, the on-vehicle device 30 switches the screen of the display unit 36, and the site map of the selected parking lot a to f The current parking status information, the score for parking availability of the vacant parking space, and the locus information with the highest score are displayed.

  In the example shown in FIG. 9, the points are displayed on all the vacant parking spaces, but the points may be displayed only on the vacant parking space selected by the user. Further, in the example shown in FIG. 9, only the locus information of the parking locus table having the highest score among all the vacant parking spaces is displayed, but the present invention is not limited to this. The locus information of the parking table having the highest score may be displayed for each vacant parking space. In this case, the score and the trajectory information may be displayed only in the vacant parking space selected by the user.

  According to the first embodiment described above, the first server device 10 acquires parking status information indicating position information of a vacant parking space of the current parking lot. The first server device 10 generates ease of parking corresponding to the acquired parking status information. As a result, the ease of parking according to the parking status information is generated, so the accuracy of the ease of parking can be improved.

  According to the first embodiment described above, the first server device 10 further acquires parking operation information indicating the parking operation when the vehicle is parked in the parking space of the parking lot, and the parking operation stored in the parking locus DB 13 The parking ease corresponding to the parking status information is generated based on the information and the past history of the parking status information. As a result, the ease of parking can be determined according to the actual parking operation, so the accuracy of the parking difficulty can be further enhanced.

  According to the first embodiment described above, the first server device 10 acquires parking operation information from locus information including position information for each predetermined time at the time of parking execution. The parking operation information includes a parking operation time indicating the time taken for parking and the number of times of turning back. This can further increase the accuracy of the ease of parking.

  According to the first embodiment described above, the first server device 10 calculates the ease of parking based on the parking operation information every time the parking operation information is acquired, and the parking operation information, the parking status information at that time, and The parking difficulty corresponding to the parking status information is generated on the basis of the obtained history of parking easiness. Thereby, the accuracy of the parking difficulty can be further enhanced.

  Further, according to the first embodiment described above, the first server device 10 generates a scoring model with the parking operation information as the input information and the ease of parking as the output information, and each time parking is executed, A marking model is used to find the ease of parking for the parking operation information at that time. The learning model can more accurately determine the ease of parking for the parking operation information.

  Further, according to the first embodiment described above, the first server device 10 associates the generated parking easiness with the locus information and the parking status information for generating the easiness of parking. It stores in parking locus DB13. Then, the first server device 10 transmits (outputs), to the second server device 20, the one with the lowest degree of difficulty (the one with the highest score) among the trajectory information corresponding to the current parking status information. As a result, it is possible to notify the user of trajectory information with a low degree of difficulty corresponding to the current parking condition information.

  Further, according to the first embodiment described above, the ease of parking is indicated by a score. This makes it possible to generate ease of parking with finer precision.

  In the first embodiment described above, the first server device 10 stores the ease of parking stored in the parking locus DB 13 according to the past history of the parking operation information and the parking status information at that time. Although the ease of parking corresponding to the current parking status information has been generated, it is not limited to this. For example, a table indicating the ease of parking determined in advance for each piece of parking status information is stored in the memory, and the first server device 10 may calculate the ease of parking corresponding to the current parking status information from this table. Good. In this case, the first server device 10 may not acquire the parking operation information.

  Further, in the first embodiment described above, the parking operation information includes locus information having position information, and the number of times of switching is obtained from the locus information, but the present invention is not limited to this. The number of times of switching may be determined from the detection result of a position detection sensor that detects the position of the gear. That is, it is not essential to include trajectory information in the parking operation information.

  In the first embodiment described above, the parking operation information includes the parking operation time and the number of turns back, but the present invention is not limited to this. As parking operation information, only trajectory information may be used.

  Further, in the first embodiment described above, the ease of parking is indicated by a score, but is not limited to this. For example, the ease of parking may be indicated by only two stages of "easy to park" and "hard to park".

  Further, in the first embodiment described above, for example, when two parking spaces A and D are vacant as shown in FIG. 5 (B), the parking easiness of FIG. 8 is calculated. The score calculated in step S22 of the process is an average value of scores with respect to trajectory information when parked in the parking spaces A and D in the past. The first server device 10 is not limited to this, and an average value of scores for parking information when parked in the parking space A in the past and an average value of scoring for parking information when parked in the parking space B in the past And may be calculated separately. In this case, the first server device 10 needs to associate and store the identification information of the parking space in the parking table in step S15 of FIG. Then, the first server device 10 may obtain the higher one of the scores among the average values calculated separately as the ease of parking according to the current parking status information, and may transmit it to the second server device 20. .

Second Embodiment
Next, an information providing system 1 according to a second embodiment will be described with reference to FIG. In the figure, parts equivalent to those of the information providing system 1 shown in FIG. 1 already described in the first embodiment described above are assigned the same reference numerals and detailed explanations thereof will be omitted. The information providing system 1 includes a first server device 10 and an on-vehicle device 30 which is a terminal capable of communicating with the first server device 10. The configurations of the first server device 10 and the in-vehicle device 30 are the same as those of the first embodiment, and thus the detailed description will be omitted here.

  In the second embodiment, the first server device 10 causes the on-vehicle device 30 entering the parking lot to display the ease of parking of the currently available parking space. In the second embodiment, as in the first embodiment, the vehicle-mounted device 30 transmits trajectory information to the first server device 10 every predetermined time, when entering from the entrance of the parking lot where a plurality of parking spaces are arranged. The first server device 10 receives the trajectory information transmitted from the in-vehicle device 30, and accumulates and stores the information in a temporary storage unit (not shown).

  By the way, the parking easiness of each parking space changes according to the vacancy situation around a parking space, as explained in the 1st example. For example, when it is desired to park in the parking space D as shown in FIG. 5 (B), if there are vehicles already parked in the parking spaces A, B and E, the parking difficulty becomes high. However, the parking spaces C and F apart from the parking space D do not change the ease of parking into the parking space D regardless of whether there are vehicles parked.

  In the second embodiment, the first server device 10 performs the parking operation on the parking space D based on the trajectory information of a vehicle parked in the past in the parking space D, for example, when the trajectory information is accumulated a predetermined amount or more. A determination process is performed to determine the related parking spaces A, B, and E to be affected. The first server device 10 similarly performs a determination process of determining the related parking space for the parking spaces A to C and E to F.

  This discrimination process will be described with reference to FIGS. 11 and 12. The first server device 10 selects one of a plurality of parking spaces in the parking lot (step S30). Next, the first server device 10 extracts a parking table corresponding to the parking space selected in step S30 from the parking locus DB 13 (step S31). For example, as shown in FIG. 12, when the parking space B is selected in step S30, all the parking tables for the parking space B are extracted. Thereafter, the first server device 10 acquires a site map of the parking lot from the storage unit 14 (step S32). The site map contains the location information of each parking space.

  Next, as shown in FIG. 12, the first server device 10 plots locus information included in all parking tables extracted in step S31 on the site map, and sets an area including all the plotted locus information. The parking utilization area Au is set (step S33). Further, the first server device 10 analyzes all the trajectory information to calculate a turning point, and sets a turning area Ak within a predetermined distance from the calculated turning point (step S34).

  Then, the first server device 10 functions as a determination unit, and determines another parking space overlapping with at least one of the parking utilization area Au and the turnaround area Ak as a related parking space (step S35). For example, as shown in FIG. 12, when the first server device 10 selects the parking space B in step S30, the other parking spaces A and C overlapping with the parking utilization area Au and the other overlapping with the turnaround area Ak are selected. The parking space E is determined as the related parking space. If the determination of the related parking space has not been completed for all the parking spaces (N in step S36), the first server device 10 returns to step S30, selects the next parking space, and relates the next parking space. Determine the parking space. On the other hand, if the determination of the related parking space has been completed for all the parking spaces (Y in step S36), the first server device 10 ends the process.

  Also, as in the first embodiment, the first server device 10 scores the ease of parking from the trajectory information of the vehicle each time one vehicle enters from the entrance and parking is completed. Execute the trajectory scoring process shown in. In the trajectory scoring process, the first server device 10 executes steps S10 to S12 as in the first embodiment. The operation which differs between the second embodiment and the first embodiment is the acquisition of the parking condition information at step S13. In the first embodiment, the first server device 10 acquires the availability of the entire parking lot as the parking status information. In the second embodiment, the first server device 10 acquires parking status information of the related parking space with respect to the parked parking space. For example, in the case of performing scoring based on the trajectory information according to the parking in the parking space B, the first server device 10 acquires the parking status information of the related parking spaces A, C, and E.

Next, the first server device 10 stores the parking space, the parking status information of the related parking space, the parking operation information, and the parking table (shown in Table 2 below) in which the parking ease is associated in the parking path DB (Step S15), the process ends.

  In addition, the first server device 10 calculates the ease of parking for each piece of parking status information of each parking space every time the parking table is stored in the parking locus DB 13. The first server device 10 extracts a parking table that matches both the parking space of the parking table stored immediately before and the parking status information among the plurality of parking tables stored in the parking locus DB 13.

  Next, the first server device 10 calculates an average value of the points of the extracted parking table, and stores the calculated average value as the ease of parking corresponding to the parking status information of the parking space. If this is performed every time the parking table is stored in the parking locus DB 13, it is possible to obtain the score of the ease of parking for each parking status information of each parking space.

  In addition, when the user who is in the vehicle enters the parking lot, the first server device 10 displays the score for the parking status information of the current related parking space on the vacant parking space. Send site map. In addition, the first server device 10 transmits a parking lot site map showing the associated parking spaces of the vacant parking spaces. When receiving the site map, the on-vehicle device 30 displays the site map on which the score is displayed on the display unit 36. This display allows the user to grasp which vacant parking space is easy to park. In addition, when the user clicks a vacant parking space on the site map, the in-vehicle device 30 displays the site map showing the related parking space of the clicked parking space.

  According to the second embodiment described above, by determining the related parking space, it is possible to use this to improve the accuracy of the parking difficulty.

  Further, according to the second embodiment described above, the first server device 10 determines another parking space on the plurality of parking information acquired in the past as the related parking space. Thereby, the determination accuracy of the related parking space can be improved.

  Further, according to the second embodiment described above, the first server device 10 transmits a map indicating the position of the associated parking space with respect to the parking space selected by the user. The user can be informed of the relevant parking space.

  Moreover, according to the second embodiment described above, although a line is plotted as locus information, it is not limited to this. For example, trajectory information having a width equal to the width of a vehicle may be plotted to set the parking utilization area Au. Thereby, the determination accuracy of the related parking space can be further improved.

  According to the second embodiment described above, the first server device 10 sets both the parking utilization area Au and the turning area Ak. And although the 1st server apparatus 10 had distinguished other parking space which overlaps with at least 1 side of field Au and Ak as a related parking space, it is not what was restricted to this. The first server device 10 may set only the parking utilization area Au and determine another parking space overlapping only the area Au as the related parking space. Further, the first server device 10 may set only the turnaround area Ak, and determine another parking space overlapping only the area Ak as the related parking space.

(Modification)
As a modification of the embodiment described above, an application example to an autonomous parking system is shown. The automated parking system initiates control of the vehicle upon detection of a parking lot intrusion or a user instruction. At that time, the vacant parking space and the degree of difficulty are acquired. The automated driving parking system selects a parking space with the lowest degree of parking difficulty and performs parking control. As described above, in a system that automatically controls a vehicle to an open parking space and performs parking, it is better to select a parking space with a low degree of difficulty, such as a short time required for parking even in automatic operation control. . Also, by transmitting parking path information and the like to the server, it can also be used for marking parking spaces. In that case, it is good to add a flag etc. which can determine whether it is parking by automatic driving or parking by manual driving, and it is good to set it as data which can be distinguished by a server. Can be calculated. As mentioned above, even if it is automatic operation control, the Example mentioned above is applicable suitably.

  In addition, in the automatic driving parking system, the system side determines on which path the parking is to be performed by the automatic driving control, and the control is performed according to the determination. For example, more appropriate parking becomes possible.

  The present invention is not limited to the above embodiment. That is, various modifications can be made without departing from the scope of the present invention.

10 First server device (information processing device)
11 control unit (acquisition means, generation means, learning means, output means)
13 Parking locus DB (storage means)

Claims (12)

In an information processing apparatus that generates a parking difficulty level for a parking space,
Acquisition means for acquiring parking status information indicating position information of the vacant parking space of the current parking lot,
An information processing apparatus comprising: generation means for generating a parking difficulty level corresponding to the parking status information acquired by the acquisition means. The acquisition means further acquires parking operation information indicating a parking operation when the vehicle is parked in a parking space of the parking lot,
The generation unit generates the parking difficulty corresponding to the parking status information based on the parking operation information acquired by the acquisition unit and the past history of the parking status information. Information processing equipment.   The information processing apparatus according to claim 2, wherein the parking operation information includes travel information having position information of a vehicle for each predetermined time at the time of the parking execution.   The information processing apparatus according to claim 2, wherein the parking operation information includes at least one of a parking operation time indicating a time taken for parking and a number of times of turning back.   The generation unit obtains the parking difficulty level based on the parking operation information each time the parking operation information is acquired, and is based on the parking operation information, the parking status information, and a past history of the parking difficulty level. The information processing apparatus according to any one of claims 2 to 4, wherein a parking difficulty level corresponding to the parking status information is generated.   The generation unit includes a learning unit that generates a learning model using the parking operation information as input information and the parking difficulty level as output information, and using the learning unit each time the parking operation information is acquired. The information processing apparatus according to claim 5, generating the parking difficulty level. Storage means for storing the parking operation information, the parking state information, and the past history of the parking difficulty level;
7. The information processing apparatus according to claim 5, further comprising: output means for outputting one of the parking operation information corresponding to the current parking state information, which has the lowest degree of parking difficulty.   The information processing apparatus according to any one of claims 1 to 7, wherein the parking difficulty level is a score. Obtaining parking status information indicating position information of a vacant parking space of the current parking lot;
And D. generating a parking difficulty level corresponding to the acquired parking status information. An information processing program executed by a computer that controls an information processing apparatus,
Acquisition means for acquiring parking status information indicating position information of the vacant parking space of the current parking lot,
An information processing program characterized by causing the computer to function as a generation unit that generates a parking difficulty level corresponding to the parking status information acquired by the acquisition unit.   A recording medium on which the information processing program according to claim 10 is recorded. Obtaining means for obtaining parking status information indicating position information of a vacant parking space of the current parking lot, parking difficulty information in the current parking status regarding the vacant parking space,
Display means for displaying the vacant parking space and the parking difficulty level;
A display control apparatus comprising:

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