JP2019152992A - Paring lot search system - Google Patents

Abstract

To provide a technique capable of proposing, to a driver, parking lot information fitted to an attribute of the driver during parking lot search.SOLUTION: A parking lot search system comprises: a holding part for holding the average number of turning back times based on the number of turning back times when a plurality of vehicles were parked in a parking lot in the past, a skill value indicating a parking skill of a driver, a size value indicating a size of a vehicle driven by the driver, and attribute information indicating driver's preference or driving tendency regarding parking; a derivation part for deriving a degree of parking difficulty in the parking lot with regard to the driver on the basis of the skill value indicating the parking skill of the driver and the size value indicating the size of the vehicle; and a generation part for generating a search result of the parking lot by using a degree of the parking difficulty and the attribute information of the driver when the driver searches for the parking lot.SELECTED DRAWING: Figure 4

Description

  The present invention relates to a parking lot search system that provides information related to a parking lot when searching for a parking lot.

  In Patent Literature 1, it is difficult to collect a terminal device that calculates a skill value indicating a driving skill from driving data when parked in a parking lot, and to collect driving data when parked in a parking lot and park in the parking lot. A parking lot search system including a server device that calculates a degree is disclosed. This terminal device determines whether to output parking lot information as a search result based on the difficulty level of the parking lot and the driving skill of the driver. The difficulty level of the parking lot and the driving skill of the driver are based on the number of turnovers during parking.

JP 2017-138639 A

  The technology disclosed in Patent Document 1 provides information on a parking lot according to the driver's technology when the driver searches for a parking lot, and the parking lot is suitable for the driver's preference. Is unknown. When the driver searches for a parking lot, it is preferable that the parking lot information suitable for each attribute of the driver can be proposed.

  An object of the present invention is to provide a technology capable of proposing to a driver parking information that matches a driver's attributes when searching for a parking lot.

  In order to solve the above-described problem, a parking lot search system according to an aspect of the present invention provides an average number of turn-back times derived from the number of turn-back times when a plurality of past vehicles parked in a parking lot, and a driver's parking skill. A holding unit for holding a skill value to be displayed, a size value indicating a size of a vehicle driven by the driver, attribute information indicating a driver's preference or driving tendency related to parking, an average number of times of switching, A derivation unit for deriving the parking difficulty of the parking lot related to the driver based on the skill value indicating the parking skill and the size value indicating the size of the vehicle, and when the driver searches the parking lot, the parking difficulty and the driving A generating unit that generates a search result of the parking lot using the attribute information of the person.

  According to this aspect, since the parking lot information is displayed based on the attribute information indicating the driver's preference or driving tendency regarding parking, the driver can easily select a parking lot suitable for each attribute.

  ADVANTAGE OF THE INVENTION According to this invention, the technique which can propose a parking lot information suitable for a driver | operator's attribute in the case of a parking lot search to a driver | operator can be provided.

It is a figure for demonstrating the function structure of a parking lot search system. It is a figure for demonstrating the function structure of a vehicle-mounted terminal. It is a figure for demonstrating the user information and parking lot information which are hold | maintained at a holding | maintenance part. It is a figure which shows the search result of the parking lot displayed on a display.

  FIG. 1 is a diagram for explaining a functional configuration of the parking lot search system 1. FIG. 2 is a diagram for explaining a functional configuration of the in-vehicle terminal 12. In FIG. 1 and FIG. 2, each element described as a functional block for performing various processes can be configured by a circuit block, a memory, and other LSIs in terms of hardware, and in a memory in terms of software. Realized by a loaded program. Therefore, it is understood by those skilled in the art that these functional blocks can be realized in various forms by hardware only, software only, or a combination thereof, and is not limited to any one.

  The parking lot search system 1 provides information on a parking lot when a driver searches for a parking lot. The parking lot search system 1 includes a server device 10 and an in-vehicle terminal 12 connected via a network.

  The in-vehicle terminal 12 is provided in the vehicle, and transmits vehicle state information when the vehicle is parked in the parking lot to the server device 10. Moreover, when the driver searches for a parking lot, the in-vehicle terminal 12 receives information on the parking lot from the server device 10 and includes a parking difficulty indicating difficulty in stopping the parking lot in the search result of the parking lot. To provide

  The server device 10 collects information when parking from a plurality of in-vehicle terminals 12, calculates the parking skill of each driver, and generates driving information for each parking lot. Further, when receiving a request for a parking lot search from the in-vehicle terminal 12, the server device 10 generates information on the parking lot as a search result and transmits the information to the in-vehicle terminal 12. The server device 10 includes a communication unit 20, a skill calculation unit 22, a difficulty level generation unit 24, a holding unit 26, a derivation unit 28, and a generation unit 30.

  As illustrated in FIG. 2, the in-vehicle terminal 12 includes a vehicle state acquisition unit 32, a position information acquisition unit 34, a communication unit 36, and a control unit 38. The in-vehicle terminal 12 is connected to a display 14, an input unit 16, and a vehicle sensor 18 provided on the vehicle.

  The display 14 displays information on the parking lot and map information as an image by display control of the control unit 38. The input unit 16 receives an input from the driver, such as a mechanical switch or a touch pad, and sends it to the control unit 38 as an input signal.

  The vehicle sensor 18 detects vehicle state information, and particularly detects driving information when the driver is parked. The vehicle sensor 18 includes a shift lever position sensor that detects the position of the shift lever, a steering angle sensor that detects the steering angle, a vehicle speed sensor that detects the vehicle speed, an in-vehicle camera that images the periphery of the vehicle, and the like. Based on the vehicle state information detected by the vehicle sensor 18, the number of times of turning back during parking is calculated.

  The vehicle state acquisition unit 32 of the in-vehicle terminal 12 acquires the detected vehicle state information. The position information acquisition unit 34 acquires the position information of the vehicle using GPS (Global Positioning System), and acquires the position information of the vehicle from, for example, a navigation device.

  The control unit 38 causes the communication unit 36 to transmit the vehicle state information acquired by the vehicle state acquisition unit 32 and the position information acquired by the position information acquisition unit 34 to the server device 10 with a user ID. That is, the control unit 38 transmits the driving information during parking and the position information of the parking lot to the server device 10. The control unit 38 transmits a size value indicating the size of the vehicle attached to the driving information during parking. The size value indicating the size of the vehicle may be registered in the server device 10 in advance.

  For example, when receiving a request for searching for a parking lot around the host vehicle from the input unit 16, the control unit 38 sends a request for searching for a parking lot from the server device 10 via the communication unit 36 with a user ID. The control part 38 receives the information regarding a parking lot from the server apparatus 10, produces | generates the image which shows the search result of a parking lot, displays the image on the display 14, and provides a driver | operator.

  Returning to FIG. The skill calculation unit 22 receives the vehicle state information at the time of parking, that is, the driving information at the time of parking and the position information of the parking lot via the communication unit 20, and based on the accumulated driving information at the time of the driver, A skill value indicating a driving skill is calculated. The skill calculation unit 22 calculates the number of turnovers of the vehicle based on the vehicle state information in the parking lot, and the skill of the driver based on the difference between the number of turnovers of the vehicle at the time of parking and the average turnover number of the parking lot. Calculate the value. The skill value of the driver may be an average value of the number of turnovers of the vehicle at the time of parking.

  The skill calculation unit 22 performs one operation each when the position of the shift lever returns from the advance position to the advance position through the reverse position and from the reverse position to the reverse position via the advance position in the parking lot. The vehicle is turned over. The skill calculation unit 22 causes the holding unit 26 to hold the calculated skill value of the driver as user information.

  The return calculation unit 24 collects the driving information of the vehicle when parked in the parking lot, and calculates the average number of times the vehicle is turned back during parking based on the collected driving information. The switching calculation unit 24 identifies which parking lot is the driving information based on the parking lot position information associated with the vehicle driving information. The average number of turn-backs in the parking lot is an average value when each vehicle is parked in the parking lot. Note that the average number of turnovers of the parking lot may be calculated by classification according to the size of the vehicle. For example, the size of the vehicle is divided into three stages, and the average number of turnovers of the parking lot is calculated for each stage. Thereby, the parking difficulty can be calculated with high accuracy. The switching calculation unit 24 causes the holding unit 26 to store driving information indicating the number of switchings as parking lot information. When searching for a parking lot, the average number of turn-backs is provided according to the size of the vehicle on which the searched driver gets.

  The holding unit 26 holds user information and parking lot information. The user information includes attribute information indicating the driver's preference and / or driving tendency. The parking lot information includes driving information indicating the average number of times of turnover.

  FIG. 3 is a diagram for describing user information and parking lot information held in the holding unit 26. FIG. 3A shows user information, and the user information includes a user ID, a skill value, a size value, and attribute information. The skill value is a value indicating the user's parking skill calculated by the skill calculation unit 22, and is calculated based on the number of times of return in the past parking. The size value indicates the size of the vehicle on which the vehicle is boarded.

  The driver's attribute information indicates the driver's preference and / or driving tendency regarding parking, and is calculated based on the parking information and driving information that the driver has parked in the past. Used to extract. Based on the driver's attribute information, the driver can be guided to a parking lot that is similar to the parking lot information that the driver has parked in the past.

  The attribute information of the driver includes information indicating a driving tendency at the time of parking calculated based on the number of times of forward parking, the number of times of parking backward, the number of times turned back to the right, the number of times turned back to the left, and the like. Thereby, it is possible to guide a parking lot where there is a parking space that matches the driving tendency of the driver, such as a parking space that is easy to turn to the right side or a parking space that is easy to turn to the left side. Moreover, the positional information on the parking space where the driver parked is held as attribute information. The position of the parking space where the driver parked is identified by analyzing the captured image acquired by the in-vehicle camera. Thereby, the driving tendency that the driver avoids the rightmost parking space, the driving tendency that avoids the leftmost parking space, and the like are stored as attribute information.

  FIG.3 (b) has shown parking lot information, parking lot information is parking lot ID, position information, driving information which shows the average number of times of return, empty information, presence or absence of a lock board, payment means, business hours, roof Including the presence or absence of The location information is used to specify which parking lot the driving information at the time of parking received from the in-vehicle terminal 12 corresponds to.

  The driving information indicating the average number of turn-backs is an index indicating the difficulty of stopping the parking lot, and is calculated based on the number of times each user turns back at the parking lot when parked. The vacancy information includes information indicating whether or not the parking space is vacant and position information of the vacant parking space in the parking lot. The position information of the vacant parking space is used to determine whether the parking space matches the driving tendency of the driver. The position information of the parking space can be acquired by analyzing a captured image of a camera provided in the parking lot.

  The presence or absence of the lock plate is used as one of the elements for determining whether the parking lot is preferred by the driver. The payment means indicates whether or not the credit card can be used, and is used as one of the elements for determining whether the parking lot is preferred by the driver. The business hours indicate a time zone during which the parking lot can be taken in and out. The presence / absence of a roof indicates whether the parking lot has a roof and is used as one of the elements for determining whether the parking lot is preferred by the driver. Thus, the parking lot information includes information for determining whether the parking lot matches the user's preference.

  Returning to FIG. The deriving unit 28 derives the parking difficulty level of the parking lot for the driver based on the average number of turnovers, the skill value indicating the driver's parking skill, and the size value indicating the size of the vehicle driven by the driver. . When the deriving unit 28 receives a request for a parking lot search, the deriving unit 28 derives a parking difficulty level according to the parking skill of the driver and the size of the vehicle driven by the driver. The deriving unit 28 may derive the parking difficulty level by correcting the average number of turnovers held in the holding unit 26 according to the skill value of the driver and the size value of the vehicle. Further, the deriving unit 28 may derive the parking difficulty level by correcting the average number of turn-backs corresponding to the vehicle size value according to the skill value of the driver. Thereby, the parameter | index which shows the difficulty of stopping parking reflecting the driver | operator's parking skill and the magnitude | size of a vehicle can be provided.

  The generation unit 30 generates a search result when the driver searches for a parking lot, and generates parking lot information using the parking difficulty level and the driver's attribute information. The generation unit 30 generates data including the parking difficulty level derived by the deriving unit 28 in the search result of the parking lot. Further, the generation unit 30 calculates a recommendation score for each parking lot based on the attribute information of the driver, and generates data including the recommendation score in the search result of the parking lot. The generation unit 30 causes the generated parking lot search result to be transmitted to the in-vehicle terminal 12 via the communication unit 20 and displayed on the display 14.

  The control unit 38 of the in-vehicle terminal 12 generates an image on the display 14 based on the parking lot search result generated by the generation unit 30.

  FIG. 4 shows a parking lot search result displayed on the display 14. In the right area of the display 14, a map is displayed and an icon 46 indicating the position of the host vehicle and an icon indicating the position of the parking lot from "A" to "E" are displayed.

  Parking areas are displayed side by side in the left area of the display 14, and an item 40 indicating a parking lot name, an item 42 indicating a parking difficulty level, and an item 44 indicating a recommendation level, which is a recommendation score, are used as parking lot information. Is displayed. In FIG. 4, they are displayed in a sorted state in descending order of recommendation. The parking difficulty level is displayed in three levels: “easy”, “normal”, and “difficult”. The recommendation level is a recommendation level score calculated by the generation unit 30 based on the driver attribute information and the parking lot information, and recommends a parking lot according to the driving tendency of the driver or a parking lot preferred by the driver. It is an indicator. In this example, a parking lot “A” having a high parking difficulty is recommended than a parking lot “C” having a low parking difficulty. The driver can select a parking lot by looking at the parking difficulty level and the recommendation level.

  FIG. 4 shows an aspect in which both the parking difficulty level and the recommendation level are displayed on the display 14. However, the generation unit 30 calculates the recommendation level score using the parking difficulty level and the driver attribute information, and recommends the recommended level score. Only the degree may be displayed.

  It is to be understood by those skilled in the art that the embodiments are merely examples, and that various modifications can be made to combinations of the constituent elements, and that such modifications are within the scope of the present invention.

  In the Example, although the aspect which comprises the parking lot search system 1 with the server apparatus 10 and the vehicle-mounted terminal 12 was shown, it is not restricted to this aspect. For example, the terminal for searching for a parking lot may be a driver's mobile terminal. The driver's mobile terminal may request a search for a parking lot by attaching a user ID to the server device 10, and the server device 10 may transmit the search result of the parking lot to the mobile terminal.

  DESCRIPTION OF SYMBOLS 1 Parking lot search system, 10 Server apparatus, 12 In-vehicle terminal, 14 Display, 16 Input part, 18 Vehicle sensor, 20 Communication part, 22 Skill calculation part, 24 Return calculation part, 26 Holding part, 28 Derivation part, 30 Generation Part, 32 vehicle state acquisition part, 34 position information acquisition part, 36 communication part, 38 control part.

Claims (1)

An average number of turnovers derived from the number of turnovers when a plurality of past vehicles parked in the parking lot, a skill value indicating the driver's parking skill, and a size value indicating the size of the vehicle driven by the driver A holding unit that holds attribute information indicating a driver's preference or driving tendency regarding parking;
A deriving unit for deriving the parking difficulty level of the parking lot related to the driver based on the average number of turnovers, the skill value indicating the driver's parking skill, and the size value indicating the size of the vehicle;
A parking lot search system, comprising: a generation unit that generates a search result of a parking lot using a parking difficulty level and attribute information of the driver when the driver searches for a parking lot.

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