JP2011096061A - Driving-support information management system, driving-support information management server and information processing apparatus for loading in moving body - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To more properly store driving data, including steering timing, in a driving-support information management system. <P>SOLUTION: A driving-support information management system (1) allowing management of a plurality of pieces of the driving data, respectively corresponding to a plurality of drivers, respectively driving a plurality of moving bodies (30) includes a specification means (252, 352, or the like) for specifying a statistical first deviation in one piece of the driving data, corresponding to one driver of the plurality of pieces of the driving data and a statistical second deviation in the plurality of pieces of the driving data; and a control means (250, 350, or the like) for making the plurality of pieces of the driving data be stored in a storage means of one between one storage means (310) and the other storage means (210), which differs from the one storage means, according to the specified first deviation and the specified second deviation. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to a technical field of an information management system for driving support, an information management server for driving support, and an information processing apparatus mounted on a moving body, for example, via a communication network.

  As an information management system for this type of driving support, Patent Document 1 and the like include a data recorder that records data representing vehicle behavior characteristics on a memory card in order to evaluate the driving tendency of the vehicle for each driver. An operation management system provided is disclosed.

  In addition, as an information management system of this type, in Patent Document 2 and the like, an eco-drive diagnosis is performed in which the driving status of a vehicle is transmitted to a management center, and information on eco-driving is generated from information obtained from the management center and distributed. A system is disclosed.

JP 2000-171267 A JP 2004-157842 A

  However, according to Patent Document 1 and the like described above, when driving data is shared among a plurality of vehicles, a data group representing behavior characteristics of vehicles output by a plurality of vehicles driven by a plurality of drivers, respectively. When all of the above are recorded and stored in a database provided in each vehicle, the amount of data in the database provided in each vehicle increases each time driving, and it is necessary to constantly increase the storage capacity of the database in each vehicle. Therefore, a technical problem that the manufacturing cost becomes remarkably high occurs. In addition, as the amount of data in the database increases, the calculation load on the information processing means such as a CPU that performs various types of information processing on the database provided in each vehicle also increases. There arises a technical problem that the product cost for improving the capability also increases.

  The present invention has been made in view of the above-described problems, for example, an information management system for driving assistance, an information management server for driving assistance, and the like capable of more appropriately storing driving data such as steering timing. It is an object of the present invention to provide an information processing apparatus mounted on a moving body.

  In order to solve the above problems, the information management system for driving assistance according to the present invention is information for driving assistance capable of managing a plurality of driving data respectively corresponding to a plurality of drivers who respectively drive a plurality of moving bodies. A management system for specifying a first statistical deviation in one driving data corresponding to one driver among the plurality of driving data and a second statistical deviation in the plurality of driving data One of the storage means and the other storage means different from the one storage means in accordance with the specified first deviation and the specified second deviation, Control means for storing each of the plurality of operation data.

  The driving data according to the present invention means a group of quantitative and qualitative data related to a driver's driving operation timing, driving operation amount, moving body speed or acceleration / deceleration on a predetermined road or a predetermined traveling scene. Typically, the driving data is, for example, a driving operation timing and a driving operation amount at the time of starting driving, stopping driving, right turn driving, or left turn driving performed by a driver on a predetermined road or a predetermined driving scene. Quantitative and qualitative data relating to the data, and quantitative and qualitative data relating to the speed or acceleration / deceleration of the moving object. These driving data are associated with traffic environment information, which is information about the traffic environment and the natural environment in which the moving body travels, such as the presence of traffic lights, the presence of preceding cars or pedestrians, traffic volume, weather, day / night distinction, etc. May be.

  Further, the statistical first deviation according to the present invention means a statistical deviation such as a standard deviation in one driving data output by a moving body driven by one driver among a plurality of drivers. To do.

  In addition, the statistical second deviation according to the present invention means a statistical deviation such as a standard deviation in a plurality of driving data output by a plurality of moving bodies respectively driven by a plurality of drivers.

  According to the information management system for driving support according to the present invention, the statistical first deviation and the statistical second deviation are specified by specifying means configured to include, for example, a memory and a processor. Here, “specific” according to the present invention typically means directly “specifying”, “selecting”, etc. a certain range of a physical quantity or parameter indicating a statistical deviation. Furthermore, it may include indirectly “detecting”, “measuring”, “measuring”, etc., some physical quantity or parameter indicating a statistical deviation.

  For example, one storage means and another storage means different from the one storage means according to the specified first deviation and the specified second deviation by the control means configured to include a memory, a processor, etc. A plurality of operation data is respectively stored in any one of the storage means.

  Thus, according to the present invention, the plurality of driving data output by the plurality of moving bodies respectively driven by the plurality of drivers are classified according to the specified first deviation and the specified second deviation. However, it can be recorded and stored in, for example, storage means provided in one of the management center and each vehicle according to the nature, purpose of use, or type of driving data. Alternatively, a plurality of operation data is classified according to the specified first deviation and the specified second deviation, and a hard disk having a large storage capacity, for example, according to the nature, purpose of use, or type of the operation data It is possible to record and store in any one of the storage means such as SD memory and the portable storage means such as SD memory.

  As a result, in the information management system for driving support, improvement in data utilization efficiency and quick access to data can be realized, which is preferable in practice.

  One aspect of the information management system for driving support according to the present invention is the first storage means provided in each of the plurality of moving bodies as the one storage means and capable of storing the one driving data, and the other And a second storage means provided outside the plurality of moving bodies and capable of communicating with the plurality of moving bodies and capable of storing the plurality of operation data. The plurality of operation data is stored in one of the first storage unit and the second storage unit according to the first deviation and the specified second deviation.

  According to this aspect, a plurality of driving data output by a plurality of moving bodies respectively driven by a plurality of drivers are classified according to the specified first deviation and the specified second deviation, and driving Depending on the nature, purpose of use, or type of data, the data is recorded in one of the first storage means provided in the plurality of moving bodies and the second storage means provided outside the plurality of moving bodies. Can be accumulated.

  As a result, in the information management system for driving support, improvement in data utilization efficiency and quick access to data can be realized, which is preferable in practice.

  In another aspect of the information management system for driving support according to the present invention, the control means is configured such that the specified first deviation does not exceed a first threshold value, and the specified second deviation has a second threshold value. If it exceeds, the one operation data is stored in the one storage means provided in each of the plurality of moving bodies.

  According to this aspect, when the specified first deviation does not exceed the first threshold value and the specified second deviation exceeds the second threshold value, one driving data is for one driver individual. The driving data is stored in, for example, one storage unit installed in the vehicle as the driving data necessary for calculating the optimum driving data. As a result, the information processing means for driving assistance in one moving body driven by one driver can be accessed quickly and easily. Thereby, one storage means provided in each moving body stores one driving data necessary for calculating the optimal driving data for one driver, and other driving other than the one driving data. Data need not be stored. As a result, it is possible to remarkably reduce the data amount of the storage means such as a database provided in each mobile body, and to reduce the storage capacity of the storage means of each mobile body. It is very preferable in practice. Furthermore, this can reduce the calculation load of the information processing means for performing various information processing on the storage means such as a database provided in each moving body, so as to improve the calculation capability of the information processing means such as a CPU This is very preferable in practice.

  Temporarily, when performing driving support for one driver, a plurality of driving data output by each of a plurality of moving bodies respectively driven by a plurality of drivers are all provided for each moving body. When recording and accumulating in one storage means, the amount of data in the database provided in each mobile body increases each time it is operated, and it becomes necessary to constantly increase the storage capacity of one storage means in each mobile body. This causes a technical problem that the manufacturing cost is remarkably increased. In addition, as the amount of data in the database increases, the calculation load on the information processing means such as a CPU that performs various types of information processing on the database provided in each mobile body increases, and the information processing means such as the CPU increases. There arises a technical problem that the product cost for improving the computing ability also increases.

  In another aspect of the information management system for driving support according to the present invention, the control means includes: (i) the specified first deviation exceeds a first threshold value, and the specified second deviation is a second value. When the threshold value is exceeded, or (ii) when the specified first deviation does not exceed the first threshold value and the specified second deviation does not exceed the second threshold value, the one operation data is The plurality of operation data including is stored in the other storage means provided outside the plurality of moving bodies.

  According to this aspect, (i) when the specified first deviation exceeds the first threshold and the specified second deviation exceeds the second threshold, the one operation data and the plurality of operation data are: Stored in other storage means installed outside the moving body, such as a management center, as standard driving data with large standard deviation and large dispersion, both for one driver and multiple drivers Is done.

  Alternatively, according to this aspect, (ii) when the specified first deviation does not exceed the first threshold value and the specified second deviation does not exceed the second threshold value, one driving data and a plurality of driving values The data is standard driving data with a small standard deviation, small variance, and small variation for one driver or a plurality of drivers. For example, other data stored outside a moving body such as a management center. Stored in the means.

  Thereby, the information processing means of each moving body can simply and quickly access other storage means provided outside the moving body. Thereby, since one driving data and a plurality of driving data stored in other storage means outside the moving body can be shared by the plurality of moving bodies, it is possible to improve the data utilization efficiency and to quickly access the data. So it is preferable in practice.

  According to another aspect of the information management system for driving support of the present invention, the one driving data is stored in the one driver according to the specified first deviation and the specified second deviation. It further comprises determination means for determining whether or not the driving data is inherent driving skill or driving data related to the driving wheel, and the control means is (i) wherein the one driving data is driving data related to the driving skill or the driving wheel. If it is determined that there is, the one driving data is stored in the one storage means provided in each of the plurality of moving bodies, and (ii) the one driving data relates to the driving skill or the driving rod. If it is not determined to be operation data, the plurality of operation data including the one operation data is stored in the other storage means provided outside the plurality of moving bodies.

  According to this aspect, when one driving data is determined to be driving data related to driving skills or driving rods by a determination unit configured to include, for example, a memory, a processor, and the like, For example, it is stored in one storage means installed in the vehicle as driving data necessary for calculating the driving data optimal for the individual driver. As a result, it is possible to remarkably reduce the data amount of the storage means such as a database provided in each mobile body, and to reduce the storage capacity of the storage means of each mobile body. It is very preferable in practice. Furthermore, this can reduce the calculation load of the information processing means for performing various information processing on the storage means such as a database provided in each moving body, so as to improve the calculation capability of the information processing means such as a CPU. This is very preferable in practice.

  On the other hand, when the determination means does not determine that one driving data is driving data related to driving skill or driving rod, the one driving data is not driving data related to driving skill or driving rod but to one driver individual. Even for a plurality of drivers, it is stored in other storage means installed outside the moving body, such as a management center, as standard driving data.

  Thereby, the information processing means of each moving body can simply and quickly access other storage means provided outside the moving body. Thereby, since one driving data and a plurality of driving data stored in other storage means outside the moving body can be shared by the plurality of moving bodies, it is possible to improve the data utilization efficiency and to quickly access the data. So it is preferable in practice.

  In another aspect of the information management system for driving support according to the present invention, the specifying means includes the statistical first deviation in a predetermined road or a predetermined traveling scene, and the predetermined road or the predetermined traveling scene. The statistical second deviation in is identified.

  According to this aspect, since the road or the driving scene when specifying the statistical first deviation and the statistical second deviation is substantially the same, the statistical first deviation and the statistical second It is possible to specify the deviation with higher accuracy.

  In order to solve the above problems, the information management server for driving support according to the present invention is information for driving support capable of managing a plurality of driving data respectively corresponding to a plurality of drivers driving a plurality of moving bodies. A management server for receiving each of the plurality of driving data; a statistical first deviation in one driving data corresponding to one driver among the plurality of received driving data; and A specifying means for specifying a statistical second deviation in the plurality of operation data, a storage means and a storage means according to the specified first deviation and the specified second deviation Control means for storing each of the plurality of operation data in one of the other storage means different from the storage means.

  According to the information management server for driving support according to the present invention, a plurality of driving data is received by the receiving means. For example, the statistical first deviation and the statistical second deviation are specified by specifying means configured to include a memory, a processor, and the like. For example, one storage means and another storage means different from the one storage means according to the specified first deviation and the specified second deviation by the control means configured to include a memory, a processor, etc. A plurality of operation data is respectively stored in any one of the storage means.

  Thus, according to the present invention, the plurality of driving data output by the plurality of moving bodies respectively driven by the plurality of drivers are classified according to the specified first deviation and the specified second deviation. However, it can be recorded and stored in, for example, storage means provided in one of the management center and each vehicle according to the nature, purpose of use, or type of driving data. Alternatively, a plurality of operation data is classified according to the specified first deviation and the specified second deviation, and a hard disk having a large storage capacity, for example, according to the nature, purpose of use, or type of the operation data It is possible to record and store in any one of the storage means such as SD memory and the portable storage means such as SD memory.

  As a result, in the information management server for driving support, improvement in data utilization efficiency and quick access to data can be realized, which is preferable in practice.

  In order to solve the above-described problem, an information processing apparatus for mounting a moving body according to the present invention is for mounting a moving body capable of managing a plurality of driving data corresponding to a plurality of drivers respectively driving a plurality of moving bodies. A receiving means for receiving each of the plurality of driving data, and a statistical first deviation in one driving data corresponding to one driver among the plurality of received driving data, And a specifying means for specifying a statistical second deviation in the plurality of operation data, a storage means and the one according to the specified first deviation and the specified second deviation. Control means for storing each of the plurality of operation data in any one of the other storage means different from the storage means.

  According to the information processing apparatus for mounting on a moving body according to the present invention, a plurality of operation data is received by the receiving unit. For example, the statistical first deviation and the statistical second deviation are specified by specifying means configured to include a memory, a processor, and the like. For example, one storage means and another storage means different from the one storage means according to the specified first deviation and the specified second deviation by the control means configured to include a memory, a processor, etc. A plurality of operation data is respectively stored in any one of the storage means.

  Thus, according to the present invention, the plurality of driving data output by the plurality of moving bodies respectively driven by the plurality of drivers are classified according to the specified first deviation and the specified second deviation. However, it can be recorded and stored in, for example, storage means provided in one of the management center and each vehicle according to the nature, purpose of use, or type of driving data. Alternatively, a plurality of operation data is classified according to the specified first deviation and the specified second deviation, and a hard disk having a large storage capacity, for example, according to the nature, purpose of use, or type of the operation data It is possible to record and store in any one of the storage means such as SD memory and the portable storage means such as SD memory.

  As a result, when driving support is performed in an information processing apparatus mounted on a mobile body, it is preferable in practice because it is possible to improve data use efficiency and to quickly access data.

  Such an operation and other advantages of the present embodiment will become apparent from the embodiments described below.

It is the block diagram which showed notionally the basic composition of the information management system 1 which concerns on this embodiment. It is the block diagram which showed notionally the functional basic structure of the information processing apparatus which processes the driving data 120 which concerns on this embodiment. It is the block diagram which showed notionally the functional basic structure of the navigation apparatus which concerns on this embodiment. It is the block diagram which showed notionally the functional basic structure of the information management server which concerns on this embodiment. It is the timing chart which showed the flow of the operation | movement in the information processing apparatus mounted in each vehicle which comprises the information management system which concerns on this embodiment, and an information management server. It is the timing chart which showed the flow of the deviation determination process which determines the statistical deviation which concerns on this embodiment. It is the table | surface which showed the type of the driving | operation data classified into four types by the statistical analysis which concerns on this embodiment. Focusing on the personal characteristics according to the present embodiment, in other words, focusing on the driving characteristics of one driver, when classifying the driving data, statistical deviation from one driving data such as operation timing It is the graph which showed the reference | standard for determining the magnitude level of. Focusing on the characteristics between individuals according to this embodiment, in other words, when classifying driving data focusing on a plurality of drivers, the level of statistical deviation with respect to one driving data such as operation timing 10 is a graph (FIG. 9A and FIG. 9B) showing a reference for determining the

  Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings.

(Embodiment)
(Schematic configuration of information management system)
First, a basic configuration of the information management system according to the present embodiment will be described with reference to FIG. FIG. 1 is a block diagram conceptually showing the basic structure of the information management system 1 according to this embodiment.

  As shown in FIG. 1, the information management system 1 according to the present embodiment includes a communication network 100, an information management server 200, and a vehicle 30 including an information processing device 300 and a navigation device 400. . The information management server 200 and the vehicle 30 including the navigation device 400 are configured to be able to transmit and receive driving support information 110 and driving data 120 via a communication network 100 such as the Internet.

  The information management server 200 is a server device and manages the position of the vehicle 30. In addition, the information management server 200 receives the driving data 120 after requesting the transmission of the driving data 120 to the information processing device 300 of each vehicle 30, or toward the vehicle 30 including the information processing device 300 and the navigation device 400. The driving assistance information 110 and driving data 120 relating to driving assistance of each vehicle, that is, information relating to driving data classification described later is transmitted. Here, the “driving data” according to the present embodiment means a quantitative and qualitative data group regarding the driving operation timing, the driving operation amount, the driving operation direction, the speed of the moving body or the acceleration / deceleration of the moving body. . The details of the operation data and information management server 200 will be described later.

  The information processing device 300 is a device provided in the vehicle 30 together with the navigation device 400. For example, the information processing device 300 transmits the driving data 120 to the information management server 200 in response to a driving data transmission request from the information management server 200. Details of the information processing apparatus 300 will be described later.

(Information processing device)
Next, a functional basic configuration of the information processing apparatus according to the present embodiment will be described with reference to FIG. FIG. 2 is a block diagram conceptually showing the functional basic configuration of the information processing apparatus that processes the operation data 120 according to this embodiment.

  As shown in FIG. 2, the information processing apparatus 300 is mounted on a moving body such as a vehicle 30. As illustrated in FIG. 2, the information processing apparatus 300 includes a transmission / reception unit 301, a measurement unit 302, a driving support unit 303, a driving database 310, and a control unit 350.

  Specifically, the control unit 350 is a CPU or the like, and comprehensively controls the information processing apparatus 300 as a whole. The control unit 350 includes a driving behavior analysis estimation unit 351 and a deviation determination unit 352. That is, when the control unit 350 executes a predetermined program, the driving behavior analysis estimation unit 351 and the deviation determination unit 352 are realized. An example of the “control unit” according to the present invention is configured by the control unit 350.

  The transmission / reception unit 301 receives, for example, various types of information related to GPS signals, map information, and road traffic information, and transmits various types of information such as position information of the information processing device 300 and driving data 120 to the information management server 200. Here, the “driving data” according to the present embodiment means a quantitative and qualitative data group regarding the driving operation timing, the driving operation amount, the driving operation direction, the vehicle speed or the acceleration / deceleration of the driver. In particular, the transmission / reception unit 301 may receive driving support information described later.

  Specifically, the transmitting / receiving unit 301 receives radio waves carrying downlink data including positioning data from a plurality of GPS satellites in order to receive GPS signals. The positioning data is used to detect the absolute position of the vehicle from latitude and longitude information. More specifically, the transmission / reception unit 301 may be configured by, for example, an FM tuner, a beacon receiver, a mobile phone, a dedicated communication card, and the like, and a traffic such as a VICS (Vehicle Information Communication System) center via a communication interface. So-called road traffic information such as traffic congestion and traffic information distributed from the environment information server and other information are received via the communication network 100 such as radio waves. More specifically, the transmission / reception unit 301 receives information regarding all of the map information or a part of the map information that has been updated.

  The measurement unit 302 is, for example, a self-supporting positioning device, and includes an acceleration sensor, an angular velocity sensor, and a distance sensor. The acceleration sensor is made of, for example, a piezoelectric element, detects the acceleration of the vehicle, and outputs acceleration data. The angular velocity sensor is composed of, for example, a vibrating gyroscope, detects the angular velocity of the vehicle when the direction of the vehicle is changed, and outputs angular velocity data and relative azimuth data. A distance sensor measures the vehicle speed pulse which consists of a pulse signal generated with rotation of the wheel of a vehicle.

  The driving support unit 303 actually performs driving support for the own vehicle so as to realize the set traveling direction, the target value of the traveling speed, or the target value of the traveling acceleration. Here, the driving support according to the present embodiment means assisting the driver's driving operation such as acceleration, deceleration, start, stop, or turning of the vehicle. Typically, the driving assistance according to the present embodiment may mean changing the traveling direction, traveling speed, or traveling acceleration of the vehicle by a predetermined amount toward the safe side.

  The operation database 310 is configured by a storage device such as an HDD (Hard Disk Drive), for example, and is a database that stores and accumulates operation data. Further, the operation database 310 can store various data such as map information and facility data. In particular, the driving database 310 can store driving data in association with traffic environment information. Here, the traffic environment information according to the present embodiment can be specified based on, for example, map information, an on-vehicle camera image or received road traffic information, the presence or absence of a traffic light, the presence or absence of a preceding vehicle or a pedestrian, It means information about traffic environment and natural environment where vehicles travel, such as traffic volume, weather, day / night distinction. An example of the “one storage unit” according to the present invention is configured by the operation database 310.

  The driving behavior analysis and estimation unit 351 analyzes the driving behavior of the driver according to the driving data accumulated in the driving database, and in the future only a minute time such as several tens of microseconds or several microseconds after the driver. The driving behavior of the driver is estimated, and the target traveling direction, the target value of the traveling speed, or the target value of the traveling acceleration when the driving support of the host vehicle is performed is set.

  The deviation determination unit 352 performs a deviation determination process for determining a statistical deviation of the operation data. This deviation determination process will be described later. An example of the “specifying means” according to the present invention is configured by the deviation determination unit 352. An example of the “determination unit” according to the present invention is configured by the deviation determination unit 352.

  In the present embodiment, for example, an inter-vehicle distance measuring unit that measures an inter-vehicle distance between another vehicle such as a preceding vehicle and the host vehicle using, for example, an in-vehicle camera or a GPS signal may be provided. Specifically, the inter-vehicle distance measuring unit may measure the distance between the host vehicle and the preceding vehicle, or the distance between the host vehicle and the surrounding pedestrians using, for example, an in-vehicle camera. In this case, the in-vehicle camera is fixed by an electrically controllable fixing device, and its direction may be changed by an external signal. In addition, the image captured by this in-vehicle camera may be a still image or a moving image.

  In the present embodiment, one vehicle having the information processing apparatus 300 is defined as the own vehicle, and the description will proceed while distinguishing from other vehicles excluding the own vehicle. In addition, the acceleration or the running acceleration according to the present embodiment includes the acceleration when the speed increases and the acceleration when the speed decreases.

(Navigation device)
Next, a functional basic configuration of the navigation device according to the present embodiment will be described with reference to FIG. FIG. 3 is a block diagram conceptually showing the functional basic configuration of the navigation apparatus according to this embodiment.

  As shown in FIG. 3, the navigation device 400 includes a system controller 20, a disk drive 31, a data storage unit 36, a display unit 40, an audio output unit 50, an input device 60, a camera 65, and a communication device 38.

  The system controller 20 includes an interface 21, a CPU 22, a ROM 23, and a RAM 24. The system controller 20 controls the navigation device 400 as a whole, and can realize route guidance that allows the vehicle driver to perceive guidance information that leads to a destination or a meeting point. Various controls are performed.

  The interface 21 performs an interface operation with the information processing apparatus 300 described above. From the information processing apparatus 300, vehicle speed pulses, acceleration data, relative azimuth data, angular velocity data, GPS positioning data, absolute azimuth data, and the like are input to the system controller 20. The CPU 22 controls the entire system controller 20. The ROM 23 includes a nonvolatile memory (not shown) in which a control program for controlling the system controller 20 is stored. The RAM 24 stores various data such as route data preset by the user via the input device 60 so as to be readable, and provides a working area to the CPU 22.

  The system controller 20, the disk drive 31 such as a CD-ROM drive or DVD-ROM drive, the data storage unit 36, the display unit 40, the audio output unit 50, and the input device 60 are connected to each other via the bus line 30. .

  The disk drive 31 reads and outputs content data such as music data and video data from a disk 33 such as a CD or DVD under the control of the system controller 20. The disk drive 31 may be either a CD-ROM drive or a DVD-ROM drive, or may be a CD and DVD compatible drive.

  The data storage unit 36 is composed of, for example, an HDD and stores various data used for navigation processing such as map information and facility data.

  The display unit 40 displays various display data on a display device such as a display under the control of the system controller 20. Specifically, the system controller 20 reads map information from the data storage unit 36. The display unit 40 displays the map information read from the data storage unit 36 by the system controller 20 on a display screen such as a display. The display unit 40 includes a graphic controller 41 that controls the entire display unit 40 based on control data sent from the CPU 22 via the bus line 30 and a memory such as a VRAM (Video RAM), and can display image information that can be displayed immediately. A buffer memory 42 that temporarily stores, a display control unit 43 that controls display of a display 44 such as a liquid crystal display or a CRT (Cathode Ray Tube) based on image data output from the graphic controller 41, and a display 44 are provided. . The display 44 is composed of, for example, a liquid crystal display device having a diagonal of about 5 to 10 inches, and is mounted near the front panel in the vehicle.

  The audio output unit 50 includes a D / A converter 51 that performs D / A conversion of audio digital data sent from the disk drive 31 or the RAM 24 via the bus line 30 under the control of the system controller 20, and a D / A converter. An amplifier (AMP) 52 that amplifies the audio analog signal output from 51, and a speaker 53 that converts the amplified audio analog signal into audio and outputs it to the vehicle are configured.

  The input device 60 includes keys, switches, buttons, a remote controller, a voice input device, and the like for inputting various commands and data. The input device 60 is disposed around the front panel and the display 44 of the main body of the in-vehicle electronic system mounted in the vehicle. When the display 44 is a touch panel system, the touch panel provided on the display screen of the display 44 also functions as the input device 60.

(Information management server)
Next, a functional basic configuration of the information management server according to the present embodiment will be described with reference to FIG. FIG. 4 is a block diagram conceptually showing the functional basic configuration of the information management server according to this embodiment.

  As shown in FIG. 4, the information management server 200 is actually a server device. As shown in FIG. 4, the information management server 200 includes a transmission / reception unit 201, a driving support unit 203, a driving database 210, and a control unit 250.

  Specifically, the control unit 250 is a CPU or the like, and performs overall control of the information management server 200 as a whole. The control unit 250 includes a driving behavior analysis estimation unit 251 and a deviation determination unit 252 in substantially the same manner as the control unit 350 of the information processing apparatus 300 described above. That is, when the control unit 250 executes a predetermined program, the driving behavior analysis estimation unit 251 and the deviation determination unit 252 are realized. An example of the “control unit” according to the present invention is configured by the control unit 250.

  The receiving unit 201 receives various information such as the position information of each vehicle 30, the driving data 120 of each vehicle 30, the traffic environment information in each vehicle 30, and the inter-vehicle distance between any two vehicles. Received from the information processing apparatus 300.

  The driving database 210 is configured by a storage device such as an HDD (Hard Disk Drive), for example, and is a database that stores and accumulates driving data for each vehicle 30. Further, the operation database 210 can store various data such as map information and facility data. In particular, the driving database 210 can store driving data for each vehicle 30 while associating it with traffic environment information. An example of the “other storage means” according to the present invention is configured by the operation database 210.

  The driving behavior analysis / estimation unit 251 analyzes the driving behavior of the driver of each vehicle according to the driving data for each vehicle accumulated in the driving database, and after several tens of microseconds or several times of the driver of each vehicle. Estimate the driver's driving behavior in the future for a minute time such as after microseconds, and calculate the target driving direction, target speed, or target acceleration value for each vehicle when driving support for each vehicle. Set.

  The deviation determination unit 252 performs a deviation determination process for determining a statistical deviation of driving data in each vehicle. This deviation determination process will be described later. An example of the “specifying means” according to the present invention is configured by the deviation determination unit 252. An example of the “determination unit” according to the present invention is configured by the deviation determination unit 252.

  The transmission unit 203 is quantitative or qualitative information related to driving support such as a target driving direction of each vehicle, a target value of driving speed, or a target value of driving acceleration when driving support of each vehicle is performed. The driving support information 100 is transmitted to the information processing device 300 of each vehicle 30.

(Operational principle of information management system)
Next, the operation principle of the information management system according to the present embodiment will be described with reference to FIGS. FIG. 5 is a timing chart showing an operation flow in the information management apparatus and the information management server mounted on each vehicle constituting the information management system according to the present embodiment.

(Control processing of information processing device)
First, as shown in the control processing of the information processing device mounted on each vehicle in FIG. 5, for example, driving such as the driving operation timing of the driver under the control of the control unit of the information processing device such as a CPU. Data is acquired (step S101). Here, the “driving data” according to the present embodiment means a quantitative and qualitative data group regarding the driving operation timing, the driving operation amount, the speed or acceleration / deceleration of the moving body of the driver. Specifically, this driving data includes, for example, traffic environment information that is information on the traffic environment and natural environment in which the moving body travels, such as the presence or absence of traffic lights, the presence or absence of a preceding vehicle or pedestrian, traffic volume, weather, day / night distinction, etc. Quantitative and qualitative data regarding the driver's driving operation timing, driving operation amount, driving operation direction, vehicle speed or acceleration / deceleration on a predetermined road or a predetermined driving scene. You can do it. Examples of the driving operation of the driver include a start operation, a stop operation, a right turn operation, and a left turn operation.

  Next, for example, under the control of a control unit such as a CPU, the acquired operation data is transmitted to, for example, an information management server provided in an information management center or the like via a communication network (step S102).

  Next, under the control of a control unit such as a CPU, for example, the acquired operation data is stored in an operation database (DB: Database) (step S103).

  Next, under the control of a control unit such as a CPU of the information processing apparatus, a deviation determination process for determining a statistical deviation of the operation data for classifying the operation data stored in the operation database is performed (step S104). .

(Operation data deviation judgment process)
Here, with reference to FIG. 6, the deviation determination process which determines the statistical deviation of the driving | running data which concerns on this embodiment is demonstrated. FIG. 6 is a timing chart showing the flow of the deviation determination process for determining the statistical deviation according to this embodiment.

  As shown in FIG. 6, under the control of a control unit of an information processing device such as a CPU, for example, whether or not the statistical deviation focusing on the characteristics between individuals in the stored driving data is a large level first. Is determined (step S301). A detailed determination method for determining whether or not the statistical deviation focusing on the characteristics between individuals is a large level will be described with reference to FIG. 9 described later. Here, when it is determined that the statistical deviation focusing on the characteristics between individuals in the driving data is at a high level (step S301: Yes), the statistics focusing on the characteristics within the individuals in the stored driving data. It is determined whether or not the actual deviation is a large level (step S302). A detailed determination method for determining whether or not the statistical deviation focusing on the in-person characteristic is a large level will be described with reference to FIG. Here, when it is determined that the statistical deviation focusing on the in-person characteristics in the driving data is at a high level (step S302: Yes), the driving data is determined as the first driving data group (step S302). S303). The details of the first operation data group will be described later.

  On the other hand, as a result of the determination in step S302, if it is not determined that the statistical deviation focusing on the in-person characteristics in the driving data is a large level, in other words, the statistical deviation focusing on the in-person characteristics in the driving data. Is determined to be a small level (step S302: No), the operation data is determined as the second operation data group (step S304). Details of the second operation data group will be described later.

  On the other hand, as a result of the determination in step S301 described above, if it is not determined that the statistical deviation focusing on the characteristics between individuals in the driving data is a large level, in other words, the statistics focusing on the characteristics between individuals in the driving data. If it is determined that the actual deviation is at a low level (step S301: No), it is further determined whether or not the statistical deviation focusing on the in-person characteristics in the stored operation data is at a low level. (Step S305). Here, when it is determined that the statistical deviation focusing on the in-person characteristics in the driving data is a low level (step S305: Yes), the driving data is determined as the third driving data group (step). S306). Details of the third operation data group will be described later.

  On the other hand, as a result of the determination in step S305, if it is not determined that the statistical deviation focused on the in-person characteristic is a low level, in other words, the statistical deviation focused on the in-person characteristic is determined to be a large level. If (step S305: No), the operation data is determined as a fourth operation data group (step S307). Details of the fourth operation data group will be described later.

(Overall operation: continued)
Returning to FIG. 5 again, after the deviation determination process for determining the statistical deviation of the operation data in step S104 described above, for example, under the control of the control unit of the information processing device such as a CPU, the operation data is classified. Accordingly, the operation database is organized (step S105). Specifically, as described later, the driving data determined to be the first driving data group is stored in the driving database of the information management server installed outside the vehicle as standard driving data. Is done. Alternatively, the driving data determined to be the second driving data group is, for example, a driving database installed in a vehicle, assuming that the driving data is necessary when calculating driving data optimal for an individual driver. Is remembered. Alternatively, the driving data determined to be the third driving data group is stored as a standard driving data in a driving database installed outside the vehicle such as a driving database of an information management server. Alternatively, the driving data determined to be the fourth driving data group may be stored in a driving database installed outside the vehicle, such as a driving database of an information management server, as standard driving data. Alternatively, it may be stored in, for example, a driving database installed in the vehicle as driving data necessary for calculating driving data optimal for one driver. After this step S105, the process returns to the above-described step S102 and, for example, the operation data determined to be the first operation data group and the third operation data under the control of the control unit of the information processing apparatus such as a CPU. The operation data determined to be a group is transmitted to at least the information management server.

  Simultaneously with or before or after the above-described step S105, for example, under the control of a control unit of an information processing device such as a CPU, analysis and estimation processing of driving behavior of the driver is performed according to the classification of driving data (step S106) ).

  Next, under the control of a control unit of an information processing apparatus such as a CPU, for example, a driving support process for the driver is performed according to the classification of the driving data (step S107). Specifically, in a road or a driving scene where driving data determined to be the first driving data group is acquired, an average of a plurality of driving data acquired when a plurality of drivers perform driving operations, respectively. For example, the standard driving data indicating the standard driving operation of the majority of drivers such as the majority is calculated from the values, etc., and one driver is calculated based on the calculated standard driving data. Driving assistance may be provided. Alternatively, in a road or a driving scene where driving data determined to be the second driving data group is acquired, an average value of driving data acquired when the one driver performs driving operation is Driving data that is optimal for one driver and that is optimal for one driver may be calculated, and driving assistance may be provided to one driver based on the calculated driving data. Alternatively, in a road or a driving scene where driving data determined to be the third driving data group is acquired, from an average value of a plurality of driving data acquired when a plurality of drivers perform driving operations, respectively. For example, standard driving data indicating a standard driving operation of a majority of drivers such as a majority may be calculated, and driving assistance may be provided to one driver based on the calculated driving data. . Alternatively, in the road and the driving scene where the driving data determined to be the fourth driving data group is acquired to some extent, in the same manner as the first driving data group or the third driving data group, Based on standard driving data, driving assistance may be provided to one driver. Alternatively, on the road or the driving scene where the driving data determined to be the fourth driving data group is acquired to some extent, the driving data is generally similar to the second driving data group for one individual driver. Based on the optimum driving data, driving assistance may be provided for one driver.

(Information management server control processing)
Next, as shown in the control process of the information management server in FIG. 5, for example, the identification process for confirming the position of each vehicle and identifying each vehicle under the control of the control unit of the information management server such as a CPU, for example. The initial setting process is performed (step S201).

  Next, the information management server receives driving data acquired in each vehicle via the communication network (step S202).

  Next, under the control of the control unit of the information management server, the received operation data is stored in an operation database (DB: Database) (step S203).

  Next, under the control of the control unit of the information management server, a deviation determination process for determining a statistical deviation of the operation data for classifying the operation data stored in the operation database is performed (step S204). The deviation determination process in the information management server may be substantially the same as the deviation determination process performed in the information communication process of each vehicle described above, or in the information communication process of each vehicle described above. You may share the result itself of the performed deviation determination processing.

  Next, after the deviation determination process for determining the statistical deviation of the operation data, for example, the operation database of the information management server is arranged according to the classification of the operation data under the control of the control unit of the information management server such as a CPU. Processing is performed (step S205).

  At the same time as or before or after step S205, for example, under the control of a control unit of an information management server such as a CPU, analysis and estimation processing of the driving behavior of the driver is performed according to the classification of the driving data (step S206).

  Next, driving support information is transmitted to each vehicle via a communication network, for example under control of the control part of information management servers, such as CPU (step S207).

(An example of a method for classifying operation data by statistical analysis)
Next, an example of the operation data classification method based on the statistical analysis according to the present embodiment will be described with reference to FIGS. FIG. 7 is a table showing types of operation data classified into four types by statistical analysis according to the present embodiment. FIG. 8 focuses on personal characteristics according to the present embodiment, in other words, when driving data is classified by focusing on driving characteristics of one driver, for one driving data such as operation timing, It is the graph which showed the standard for judging the level of statistical deviation.

  FIG. 9 is a statistical diagram for one driving data such as operation timing when focusing on the characteristics between individuals according to the present embodiment, in other words, when driving data is classified by focusing on a plurality of drivers. It is the graph (Drawing 9 (a) and Drawing 9 (b)) showing the standard for judging the size level of deviation.

(Classification of operation data)
In particular, in the present embodiment, as shown in FIG. 7, the operation data acquired by being measured and stored based on statistical analysis is classified into the following four types. These four types of driving data are (i) the first driving in which the statistical deviation focusing on individual characteristics is a large level and the statistical deviation focusing on characteristics between individuals is a large level. (Ii) a second driving data group in which statistical deviation focusing on individual characteristics is at a low level and statistical deviation focusing on characteristics between individuals is at a high level, (iii) individuals The third driving data group in which the statistical deviation focusing on the internal characteristics is at a low level and the statistical deviation focusing on the characteristics between individuals is at a low level, and (iv) focusing on the internal characteristics This is a fourth operating data group in which the statistical deviation is at a large level and the statistical deviation focusing on the characteristics between individuals is at a low level.

(Method for judging statistical deviations of individual characteristics)
Here, referring to FIG. 8, focusing on the in-person characteristics according to the present embodiment, in other words, focusing on the driving characteristics of one driver such as “Mr. A”, one driver. A determination method for determining the level of statistical deviation with respect to the driving data output by the vehicle driving the vehicle will be described.

  The vertical axis in FIG. 8 indicates the timing at which one driver turns off the vehicle accelerator, and the horizontal axis in FIG. 8 indicates the intersection K1 and the intersection K2 in this order. Specifically, the vertical axis in FIG. 8 indicates the distance between an intersection and a point where one driver turns off the vehicle accelerator as an index indicating the timing when one driver turns off the vehicle accelerator. .

  As shown in FIG. 8, the level of statistical deviation with respect to one driving data corresponding to the driving characteristics of one driver such as the timing when “Mr. A” turns off the vehicle accelerator is “Mr. A”. Is determined by comparing the statistical deviation with respect to the driving data output by the vehicle driving and the reference value. Here, the reference value according to the present embodiment is, for example, the type of driving operation such as stop, right turn or left turn, or the presence or absence of traffic lights, preceding cars or pedestrians, traffic volume, weather, day / night, etc. It may be specifically defined based on the traffic environment information. Typically, the reference value according to the present embodiment is obtained when traveling in a predetermined place under the condition that the type of driving operation and the change in traffic environment information are hardly or completely affected. It may mean the standard deviation of the operating data obtained.

  Specifically, as shown in the left side of FIG. 8 and the following formula (1a), the distance between the point where “Mr. A” turned off the vehicle accelerator and the intersection K1 is acquired a plurality of times. As a result, when the magnitude of the standard deviation σ of the obtained frequency distribution exceeds the reference value Th0, it is determined that the statistical deviation with respect to the driving data corresponding to the driving characteristics of “Mr. A” is a large level. Is done.

(Size of standard deviation σ) ≧ Th0 (1a)
More specifically, the distance in front of the intersection K1 where “Mr. A” turns off the accelerator is the driving environment information such as stop, right turn or left turn, traffic volume around the intersection K1, weather conditions around the intersection K1, etc. Or “Mr. A” 's emotional feeling is determined to vary greatly.

  On the other hand, as shown in the right side of FIG. 8 and the following formula (1b), as a result of acquiring the distance between the point where “Mr. A” turned off the accelerator of the vehicle and the intersection K1 multiple times, When the magnitude of the standard deviation of the obtained frequency distribution does not exceed the reference value Th0, the statistical deviation with respect to the driving data corresponding to the driving characteristics of “Mr. A” is determined to be a small level.

(Size of standard deviation σ) <Th0 (1b)
More specifically, the distance in front of the intersection K2 at which "Mr. A" turns off the accelerator is the driving environment such as right or left turn, traffic volume around the intersection K2, traffic environment information such as weather around the intersection K2, or It is determined that it does not vary greatly depending on the emotional feeling of “Mr. A”.

  Instead of the standard deviation described above, the so-called boxplot box length in probability statistics may be compared with the reference value, or the median value of the boxplot may be compared with the reference value. It's okay.

(Method for judging statistical deviation of individual characteristics)
Next, referring to FIG. 9, focusing on the characteristics between individuals according to the present embodiment, in other words, the driving characteristics of a plurality of drivers such as “Mr. A”, “Mr. B”, and “Mr. C”. A determination method for determining the level of statistical deviation with respect to a plurality of driving data output by a plurality of vehicles respectively driven by a plurality of drivers will be described.

  The vertical axes in FIGS. 9A and 9B indicate the timing at which a plurality of drivers turn off the vehicle accelerator, and the horizontal axes in FIGS. 9A and 9B are In order, “Mr. A”, “Mr. B”, and “Mr. C” are shown. Specifically, the vertical axis in FIGS. 9A and 9B is an index indicating the timing at which the plurality of drivers turn off the vehicle accelerator, and the plurality of drivers turn off the vehicle accelerator. Shows the distance between the intersection and the intersection.

  As shown in FIG. 9A, “Mr. A”, “Mr. B” and “Mr. C” correspond to a plurality of driving data respectively corresponding to a plurality of drivers, such as the timing at which the vehicle accelerator is turned off. The level of statistical deviation is indicated by a plurality of standard deviation values corresponding to a plurality of driving data output by a plurality of vehicles driven by “Mr. A”, “Mr. B” and “Mr. C”, respectively. It is determined by comparing the width of the existing or distributed range with the reference width. Here, the reference width according to the present embodiment is, for example, the type of driving operation such as stop, right turn or left turn, or the presence or absence of traffic lights, preceding cars or pedestrians, traffic volume, weather, day / night, etc. It may be specifically defined based on the traffic environment information. Typically, the reference width according to the present embodiment is a plurality of driving operations and a plurality of drivers corresponding to a plurality of drivers in a state where they are hardly or completely affected by changes in traffic environment information. May mean the width of a range in which a plurality of standard deviation values are scattered or distributed.

  Specifically, as shown in FIG. 9A and the following equation (2a), when “Mr. A” turns right at the intersection K, the vehicle accelerator is turned off, and the intersection K As a result of acquiring the distance to the frequency several times, the standard deviation σa of the obtained frequency distribution, the standard deviation σb of “Mr. B” obtained in a similar manner, and “Mr. C” obtained in a substantially similar manner When the width X of the range in which the standard deviation σc exists exceeds the reference width Th1, the statistical deviation for a plurality of operation data respectively corresponding to “Mr. A”, “Mr. B”, and “Mr. C” is Determined to be at a high level.

(Width X of the range in which standard deviations σa, σb, and σc exist) ≧ Th1 (2a)
More specifically, the distance in front of the intersection K where “Mr. A”, “Mr. B” and “Mr. C” turn off the accelerator respectively is the driving operation such as stop, right turn or left turn, and the traffic volume around the intersection K It is determined that the traffic changes greatly depending on the traffic environment information such as the weather around the intersection K or the emotional feelings of “Mr.

  On the other hand, as shown in FIG. 9B and the following equation (2b), when “Mr. A” turns right at the intersection K, the distance between the intersection where the vehicle accelerator is turned off and the intersection K Obtained a plurality of times, the standard deviation σa of the obtained frequency distribution, the standard deviation σb of “Mr. B” obtained in the same manner, and the standard deviation of “Mr. C” obtained in the same manner When the width X of the range in which σc exists does not exceed the reference width Th1, the statistical deviation with respect to a plurality of operation data corresponding to “Mr. A”, “Mr. B”, and “Mr. C” is small. It is determined that there is.

(Width X of the range in which standard deviations σa, σb, and σc exist) <Th1 (2b)
More specifically, the distance in front of the intersection K where “Mr. A”, “Mr. B” and “Mr. C” turn off the accelerator respectively is the driving operation such as stop, right turn or left turn, and the traffic volume around the intersection K , Traffic environment information such as weather around intersection K, or emotional moods of “Mr. A”, “Mr. B” and “Mr. C”, etc. Determined.

  Specifically, for example, a plurality of driving data respectively corresponding to a plurality of drivers such as “Mr. A”, “Mr. B”, and “Mr. C” are obtained at a predetermined point under a predetermined condition regarding traffic environment information. You may acquire by the following methods. That is, the driving data transmitted from each vehicle to the information management server via the communication network is aggregated and statistically analyzed by the information management server to determine the level of statistical deviation for a plurality of driving data. It's okay. Alternatively, communication from another vehicle traveling on a predetermined road, another vehicle driving under a predetermined traveling scene, or another vehicle traveling in the vicinity of the own vehicle toward the own vehicle The driving data transmitted via the network, in other words, the driving data transmitted by inter-vehicle communication is aggregated and statistically analyzed by the own vehicle, and statistically calculated for a plurality of driving data including the driving data of the own vehicle. The magnitude level of the deviation may be determined.

(Classification of driving data as a result of determination of statistical deviation of intra-individual and inter-individual characteristics)
(First operation data group)
Regarding the first driving data group, the statistical deviation is a large level focusing on the driving characteristics of one driver, and the statistical deviation is also a large level focusing on a plurality of drivers. In such roads and driving scenes where the first driving data group is acquired, even if standard driving assistance is performed, one driver can perform driving desired for standard driving assistance. Since it is expected that there will be little sense of incongruity if it is far from the vehicle, it is expected that the degree of acceptance of standard driving assistance by a single driver will be large.

  More typically, as an example of the first operation data group, for example, the timing of turning off the accelerator in front of a traffic signal in the suburbs or the countryside can be given. This is because, for example, in the suburbs and the countryside, there is a possibility that there is a driver who slows down with the accelerator turned off 100m before because the road space is wide, and the driver who applies the brake at the same time as turning off the accelerator 50m before This is because there is a possibility that there exists.

  In the present embodiment, in such roads and driving scenes where the first driving data group is acquired, from the average value of a plurality of driving data acquired when a plurality of drivers respectively drive, for example, Calculate standard driving data indicating the standard driving operation of the majority of drivers, etc., and provide driving assistance to one driver based on the calculated standard driving data. Good.

  Typically, when one driver travels on a road or a driving scene from which the first driving data group is acquired, driving data approximated by the calculated standard driving data is used as one driving data. Driving assistance may be provided so that the person's vehicle automatically outputs. More typically, for driving data that is highly likely to have a significant impact on safe driving, such as when to apply a brake, for example, instead of the average value of a plurality of driving data corresponding to the first driving data group, Timing for applying a brake earlier than the average value may be calculated as standard driving data.

  Such a first driving data group is assumed to be standard driving data, and is stored in a driving database installed outside the vehicle, such as a driving database of an information management server. Easy and quick access to the server. Thereby, since the first driving data group stored in the driving database of the information management server can be shared by a plurality of vehicles, it is preferable in practice because it is possible to improve the use efficiency of the data and to quickly access the data. .

  Specifically, such a first operation data group is standard operation data, for example, registered in the operation database of the information management server installed in the information management center, and the operation database of the information management server. And is not recorded in the database of each vehicle, or deleted once recorded. After such first driving data group is registered in the driving database of the information management server as being standard driving data, the first driving data group is stored in the storage means installed in each vehicle. Data relating to roads, driving scenes, types of driving operations, or traffic environment information corresponding to the driving data group is not newly recorded.

(Second operation data group)
Regarding the second driving data group, when focusing on one driver, the statistical deviation is at a small level, and the one driver can obtain a road or a driving scene from which the second driving data group is acquired. Is expected to be sensitive to the driving operation itself, paying close attention so that the desired driving operation can be performed. If standard driving assistance is performed on a road or a driving scene where such a second driving data group is acquired, one driver can start from driving desired for standard driving assistance. It is expected that the degree of discomfort will increase as it is far away. Therefore, in such roads and driving scenes where the second group of driving data is acquired, the driver's optimal driving support for the one driver is paid attention to the driving habits and driving skills of the one driver. The need to do is high.

  More typically, as an example of the second operation data group, for example, timing for turning off the accelerator at a corner with a good view can be given. This is because, for example, at a corner with a good view, there is a great degree of dependence on one person's driving skills and driving habits due to large variations in driving operations among individuals, such as the timing of slow-in first-out.

In the present embodiment, in such roads and driving scenes where the second driving data group is acquired, one driving is calculated from the average value of driving data acquired when the one driver performs driving operation. Driving data that is optimal for one driver and that is optimal for one individual driver may be calculated, and driving assistance may be provided to one driver based on the calculated driving data.
More typically, for driving data that is highly likely to have a significant impact on safe driving, such as when to apply a brake, the driving data is earlier than the driving data corresponding to the second driving data group. The brake timing may be calculated as optimal driving data for one driver.

  Such a second driving data group is stored as a driving database installed in a vehicle, for example, as driving data necessary for calculating driving data optimal for an individual driver. One driver's personal vehicle can be accessed quickly and conveniently. Thus, the database provided in each vehicle stores the second driving data group necessary for calculating the driving data optimal for the individual driver, and the first driving data group other than the second driving data group is stored. The operation data group and the third operation data group need not be stored. As a result, the amount of data in the database provided in each vehicle can be remarkably reduced, and the storage capacity of the storage means of each vehicle can be reduced. Therefore, the manufacturing cost can be reduced, which is very preferable in practice. Furthermore, this can reduce the calculation load of the control means such as the CPU that performs various information processing on the database provided in each vehicle, so that the product cost for improving the calculation capability of the control means such as the CPU can be reduced. Since it can reduce, it is very preferable in practice.

(Third operation data group)
As for the third driving data group, the statistical deviation is small level focusing on the driving characteristics of one driver, and the statistical deviation is small level focusing on a plurality of drivers. In such roads and driving scenes where the third driving data group is acquired, even if the standard driving assistance is provided for all the drivers, the driver desires for the standard driving assistance. It is expected that the driver will not feel a sense of incongruity if he / she is far from driving, and thus the driver is expected to have a high degree of acceptance of standard driving assistance.

  More typically, as an example of the third operation data group, for example, timing for turning off the accelerator in front of traffic lights in the city can be given. This is because, for example, in a city, the road is narrower and there are many vehicles compared to the suburbs, so the majority of vehicles are likely to turn off the accelerator at approximately the same point or at approximately the same timing. is there.

  In the present embodiment, in a road or a driving scene where such a third driving data group is acquired, for example, from an average value of a plurality of driving data acquired when a plurality of drivers perform driving operations, for example, Standard driving data indicating a standard driving operation of a majority of drivers or the like may be calculated, and driving assistance may be provided to one driver based on the calculated driving data.

  Typically, when one driver travels on a road or a driving scene where the third driving data group is acquired, driving data approximated by the calculated driving data is used as the vehicle of the one driver. Driving assistance may be provided to automatically output. More typically, for driving data that is highly likely to have a significant impact on safe driving, such as when to brake, for example, instead of the average value of a plurality of driving data corresponding to the third driving data group, Brake timing earlier than the average value may be calculated as standard driving data.

  Such a third driving data group is assumed to be standard driving data, and is stored in a driving database installed outside the vehicle, such as a driving database of an information management server. Easy and quick access to the server. Thereby, since the 3rd driving | running data group memorize | stored in the driving | operation database of the information management server can be shared with a some vehicle, since it can implement | achieve improvement in the utilization efficiency of data and quick access of data, it is preferable in practice. .

(Fourth operation data group)
Regarding the fourth driving data group, the statistical deviation is large level focusing on the driving characteristics of one driver, while the statistical deviation is small level focusing on a plurality of drivers. The driving data that is present is remarkably low that the fourth driving data group exists in view of the fact that a plurality of drivers are a set of one driver and a phenomenon that is statistically estimated. I think. As a result, in the present embodiment, the fourth driving data group includes a plurality of road data and driving scenes that are acquired somewhat in the same manner as the first driving data group or the third driving data group. The standard driving data indicating the standard driving operation of the majority of drivers, such as the majority, is calculated from the average value of the driving data acquired when each driver operates, and this calculated Based on the driving data, driving assistance may be provided to one driver. Alternatively, in a road or a driving scene in which the fourth driving data group is acquired to some extent, the fourth driving data group is acquired when the one driver performs a driving operation in substantially the same manner as the second driving data group. Based on the average value of the driving data, etc., the driving data that is optimal for one driver is calculated, and the driving data that is optimal for one driver is calculated, and one driver is calculated based on the calculated driving data. Driving assistance.

  Such a fourth driving data group may be stored in a driving database installed outside the vehicle, such as a driving database of an information management server, for example, as a standard driving data, or a single driver For example, it may be stored in a driving database installed in a vehicle as driving data necessary when calculating driving data optimal for an individual.

  As a result, according to the present embodiment, the plurality of driving data output by the plurality of vehicles respectively driven by the plurality of drivers are represented by the first driving data group, the second driving data group, and the first driving data group described above. The data is classified into three driving data groups, and is recorded and stored in, for example, a database provided in either the information management server or each vehicle according to the nature, usage purpose, or type of the driving data. As a result, it is preferable in practice because it is possible to improve the data utilization efficiency and to quickly access the data.

  Typically, the first driving data group and the third driving data group are stored in a driving database installed outside the vehicle, such as a driving database of an information management server, as standard driving data. Thus, each vehicle can easily and quickly access this information management server. Thereby, since the 1st driving data group and the 3rd driving data group memorized by the driving database of the information management server can be shared by a plurality of vehicles, the improvement of the data utilization efficiency and the quick access of the data are achieved. Since it can be realized, it is preferable in practice. Further, typically, the second driving data group is stored in, for example, a driving database installed in the vehicle, as driving data necessary for calculating the driving data optimum for one driver. Thus, one driver's individual vehicle can be accessed quickly and easily. Thus, the database provided in each vehicle stores the second driving data group necessary for calculating the driving data optimal for the individual driver, and the first driving data group other than the second driving data group is stored. The operation data group and the third operation data group need not be stored. As a result, the amount of data in the database provided in each vehicle can be remarkably reduced, and the storage capacity of the storage means of each vehicle can be reduced. Therefore, the manufacturing cost can be reduced, which is very preferable in practice. Furthermore, this can reduce the calculation load of the control means such as the CPU that performs various information processing on the database provided in each vehicle, so that the product cost for improving the calculation capability of the control means such as the CPU can be reduced. Since it can reduce, it is very preferable in practice.

  For example, when driving assistance is provided for one driver, all of a plurality of driving data output by a plurality of vehicles respectively driven by a plurality of drivers are recorded and stored in a database provided for each vehicle. In such a case, the amount of data in the database provided in each vehicle increases each time it is driven, and it becomes necessary to constantly increase the storage capacity of the storage means of each vehicle, resulting in a significant increase in manufacturing cost. Problems arise. In addition, as the amount of data in the database increases, the calculation load of the control means such as the CPU that performs various information processing on the database provided in each vehicle also increases, and the calculation capability of the control means such as the CPU increases. There arises a technical problem that the product cost for improvement is increased.

  In the above-described embodiment, the case has been described in which the data is recorded and stored in one of the operation database 210 of the information management server 200 and the operation database 310 of the information processing device 300 according to the classification of the operation data. The present invention is not limited to this, and is recorded and accumulated in one of the one operation database provided in the information processing apparatus 300 and the other operation database according to the classification of the operation data. Good. Alternatively, the present invention may be recorded and accumulated in one of the one operation database and the other operation database provided in the information management server 200 according to the classification of the operation data.

  The present invention is not limited to the above-described embodiments, and can be appropriately changed without departing from the spirit or idea of the invention that can be read from the claims and the entire specification. An information management system, an information management server for driving support, and an information processing device mounted on a moving body are also included in the technical scope of the present invention.

  The present invention can be used for, for example, an information management system for driving support provided with an operation management database and the like, an information management server for driving support, and an information processing apparatus mounted on a moving body.

  DESCRIPTION OF SYMBOLS 1 ... Information management system, 30 ... Vehicle, 100 ... Communication network, 200 ... Information management server, 201 ... Reception part, 203 ... Transmission part, 210 ... Driving database, 250 ... Control part, 251 ... Analysis estimation part of driving action, 252 ... Deviation determination unit, 300 ... Information processing device, 301 ... Transmission / reception unit, 302 ... Measurement unit, 303 ... Driving support unit, 310 ... Driving database, 350 ... Control unit, 351 ... Analysis estimation unit for driving behavior, 352 ... Deviation Determination unit, 400... Navigation device.

Claims (8)

An information management system for driving support capable of managing a plurality of driving data corresponding to a plurality of drivers respectively driving a plurality of moving bodies,
A specifying means for specifying a statistical first deviation in one driving data corresponding to one driver among the plurality of driving data, and a statistical second deviation in the plurality of driving data;
In accordance with the specified first deviation and the specified second deviation, one of the storage means and the other storage means different from the one storage means may include the plurality of storage means. An information management system for driving support, comprising: control means for storing driving data. As the one storage means, a first storage means provided in each of the plurality of moving bodies and capable of storing the one operation data;
The other storage means includes a second storage means provided outside the plurality of moving bodies, capable of communicating with the plurality of moving bodies, and capable of storing the plurality of operation data.
In accordance with the specified first deviation and the specified second deviation, the control means stores the plurality of the storage means in one of the first storage means and the second storage means. The driving management information management system according to claim 1, wherein driving data is stored.   When the specified first deviation does not exceed the first threshold and the specified second deviation exceeds the second threshold, the control means stores the one operation data in the plurality of moving bodies. The information management system for driving support according to claim 1 or 2, wherein the information is stored in the one storage means provided respectively.   The control means is (i) when the specified first deviation exceeds a first threshold and the specified second deviation exceeds a second threshold, or (ii) the specified first deviation When one deviation does not exceed the first threshold and the specified second deviation does not exceed the second threshold, the plurality of operation data including the one operation data is provided outside the plurality of moving bodies. The information management system for driving support according to any one of claims 1 to 3, wherein the information is stored in the other storage unit. According to the specified first deviation and the specified second deviation, whether or not the one driving data is driving data related to a driving skill or driving rod unique to the one driver. A determination means for determining;
The control means (i) when it is determined that the one driving data is driving data related to the driving skill or the driving rod, the one driving data is provided in each of the plurality of moving bodies. (Ii) when it is not determined that the one driving data is driving data related to the driving skill or the driving rod, the plurality of driving data including the one driving data are stored in the plurality of driving data. The information management system for driving assistance according to any one of claims 1 to 4, wherein the information is stored in the other storage means provided outside the moving body.   The specifying means specifies the statistical first deviation in a predetermined road or a predetermined traveling scene, and the statistical second deviation in the predetermined road or the predetermined traveling scene. The information management system for driving assistance according to any one of claims 1 to 5. An information management server for driving support capable of managing a plurality of driving data corresponding to a plurality of drivers respectively driving a plurality of moving bodies,
Receiving means for receiving each of the plurality of operation data;
A specifying means for specifying a statistical first deviation in one driving data corresponding to one driver among the plurality of received driving data, and a statistical second deviation in the plurality of driving data;
In accordance with the specified first deviation and the specified second deviation, one of the storage means and the other storage means different from the one storage means may include the plurality of storage means. An information management server for driving support, comprising: control means for storing driving data. An information processing apparatus for mounting a mobile body capable of managing a plurality of driving data corresponding to a plurality of drivers respectively driving a plurality of mobile bodies,
Receiving means for receiving each of the plurality of operation data;
A specifying means for specifying a statistical first deviation in one driving data corresponding to one driver among the plurality of received driving data, and a statistical second deviation in the plurality of driving data;
In accordance with the specified first deviation and the specified second deviation, one of the storage means and the other storage means different from the one storage means may include the plurality of storage means. An information processing apparatus for mounting on a moving body, comprising: control means for storing operation data.

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