OA20519A - Leaning-vehicle-traveling-data-analysis method, leaning-vehicle-traveling-dataanalysis device, data processing method using analysis data, and data processing device using analysis data - Google Patents

Abstract

Provided is a ieaning-vehicie-traveiing-dataanalysis method capable of outputting analysis data specific to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources. The leaning-vehicle-traveling-data-analysis method includes: a leaning-vehicle-travelingreference-data-acquiring step of acquiring leaning-vehicle-traveling-reference data; an analysis-leaning-vehicle-traveling-data-acquiring step of acquiring analysis-leaning-vehicletraveling data; and an analysis-data-acquiring step of acquiring analysis data. The leaningvehicle-traveling-reference data is generated based on reference-generation-leaning-vehicletraveling data including a larger amount of traveling data of leaning vehicles traveling on a public road in an intermediate density range than the amount of traveling data of leaning vehicles traveling on the public road in a low density range and a high density range. The analysis-leaningvehicle-traveling data includes analysis-travelingdensity-related data related to the density of analysis-target-leaning vehicles when an analysistarget-leaning vehicle is driven by an analysis target and travels on a public road.

Description

LEANING-VEHICLE-TRAVELING-DATA-ANALYSIS METHOD, LÈANING-VEHICLETRAVELING-DATA-ANALYSIS DEVICE, DATA PROCESSING METHOD USING ANALYSIS DATA, AND DATA PROCESSING DEVICE USING ANALYSIS DATA

TECHNICAL FIELD

[0001] The présent teaching relates to a leaning-vehicle-traveling-data-analysis method for analyzing leaning-vehicle-traveling data of a leaning vehicle, a leaningvehicle-traveling-data-analysis device, a data processing method using analysis data, and a data processing device using analysis data.

BACKGROUND ART

[0002] There is a known device for evaiuating a driving skiil of a rider. An example of the known device for evaiuating a driving skîll of a rider is a configuration disclosed in Patent Document 1.

[0003] Patent Document 1 discloses an évaluation device capable of evaiuating vehicle driving skills, The device disclosed in Patent Document 1 analyzes a riding skill of a rider by using traveling data of a leaning vehicie.

CITATION LIST

PATENT DOCUMENT

[0004] Patent Document 1: International Patent Application Publication No. WO2015/050038

SUMMARY OF INVENTION

TECHNICAL PROBLEM

[0005] Leaning vehicles hâve high mobiîity and excellent convenience, and thus, are used in various scenes. Thus, an analysis spécifie to leaning vehicles in which various application scenes are taken into account has been required.

[0006] If data on various situations such as traveling environments are to be obtained in order to analyze in considération of various application scenes of leaning vehicles, an enormous amount of data is processed by a data processing device, which increases a load on hardware of the device. Accordingiy, hardware resources required in the data processing device increase, and thus, design of hardware resources is restricted. Consequently, design flexibility of hardware resources of the data processing device decreases.

[0007] An object of the présent teaching is to provide a leaning-vehicle-traveling-data analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources.

SOLUTION TO PROBLEM

[0008] Through an analysis of traveling data of leaning vehicles, the inventors of the présent teaching found that traveling data of a leaning vehicle is significantly different from that of a non-leaning vehicle. The leaning vehicle is a vehicle that leans rightward when tuming to the right and leans leftward when tuming to the left.

[0009] A leaning vehicle is smaller in vehicle size than a non-leaning vehicle. That is, the size of the leaning vehicle in the front-rear direction and/or in the left-right direction is smaller than that of the non-leaning vehicle. A rotational operation amount of steering of the leaning vehicle is smaller than 360 degrees, and thus, the rotational operation amount of steering of the leaning vehicle is smaller than that of the non-leaning vehicle. In addition, unlike the non-leaning vehicle, the leaning vehicle is a rider-active vehicle actively operatable by a driver, Thus, driving of the leaning vehicle is different from driving of the non-leaning vehicle. Traveling data of such a leaning vehicle driven in a manner different from a non-leaning vehicle is significantly different from traveling data of the non-leaning vehicle, such as a four-wheeled vehide.

[0010] The inventors of the présent teaching further intensively investigated traveling situations of a leaning vehicle to find that the leaning vehicle has a very high degree of flexibility in traveling by an intension of a driver, as compared to that of a non-leaning vehicle.

[0011] Thus, while a driver drives a leaning vehicle, the number of déterminations by the driver and the number of options in each détermination tend to be larger than those in a case where the driver drives a non-leaning vehicle.

[0012] In addition, while the driver drives the leaning vehicle, the driver is more likely to be subjected to stress from the outside than in the case where the driver drives the nonleaning vehicle. Furthermore, a wide variety of stress is applied from the outside to the driver of the leaning vehicle.

[0013] The leaning vehicle is more lightweight than the non-leaning vehicle. Thus, the leaning vehide has higher mobîlity and is more conveniez than the non-leaning vehicle. The leaning vehide can be used for various applications, and tends to be frequently used. Thus, the leaning vehicle is used in various scenes.

[0014] Through intensive studies of various application scenes of leaning vehides, the inventors of the présent teaching found that traveling flexibility by an intension of a driver of a Ieaning vehicle has an inverse corrélation with the density of Ieaning vehicles traveling on a public road. That is, in a case where the density of Ieaning vehicles traveling on a public road is low, traveling flexibility by in tensions of drivers of the Ieaning vehicles is high, and in a case where frie density of Ieaning vehicles traveling on a public road is high (see, for example, traveling situations of Ieaning vehicles in Indonesia, https://www.youtube.conV watch?v=0A1jYWojQXk, https /7www.youtube.com/watch^?v=NqgDE-XqDVcX traveling flexibility by intensions of drivers of the Ieaning vehicles is low.

[0015] Since four-wheeled vehicles are larger in size than Ieaning vehicles, traveling flexibility by intensions of drivers of the four-wheeled vehicles is restricted. Thus, even when the density of four-wheeled vehicles traveling on a public road varies, traveling flexibility by intensions of drivers of four-wheeled vehicles does not vary or slightîy varies. That is, a four-wheeted vehicle traveling on a public road has traveling flexibility in forward and rearward within the same fane, but since the width of the four-wheeled vehicle is large relative to the width of the lane, as compared to a Ieaning vehicle, traveling flexibility in the left-right direction is low. Accordingly, even when the density of four-wheeled vehicles varies, traveling flexibility does not significantly vary. Thus, in the case of fourwheeled vehicles, there is a weak corrélation between traveling flexibility by intensions of drivers of four-wheeled vehicles and the density of four-wheeled vehicles traveling on a public road. The density of four-wheeled vehicles refers to the number of four-wheeled vehicles located within a predetermined length of a lane on a public road.

[0016] As described above, the inventera of the présent teaching found that in the case of ieaning vehicles, since traveling flexibility by intensions of drivers of Ieaning vehicles has an inverse corrélation with the density of Ieaning vehicles traveling on a public road, considération of the density of Ieaning vehicles traveling on the public road is sufficient for considération of traveling flexibility by intensions of drivers of the Ieaning vehicles.

[0017] In addition, through an analysis of dnving skills of drivers in considération of the degree of traveling flexibility by intensions of the drivers by using traveling data of Ieaning vehicles traveling on a public road, the inventera of the présent teaching found the following points.

[0018] The use of leaning-vehicie-traveling data in considération of the degree of traveling flexibility by intensions of drivers enables an output of analysis data spécifie to Ieaning vehicles that was preyiousfy difFicutt to output, such as driving skills of Ieaning vehicles in considération of various application scenes. For example, in an analysis using leaning-vehicle-traveling data in a state of high flexibility, a driveris skill of a Ieaning vehicle can be more accurately analyzed in more details. In addition, in an analysis using leaning-vehicle-traveling data with flexibility restricted to some degree, for example, â driveris prédiction skilî of predicting traveling environments such as movement of surrounding vehicles can be more accurately analyzed in more details,

[0019] Furthermore, since leaning-vehicle-traveling data is analyzed in considération of the degree of traveling flexibility by an intension of a driver, data to be processed can be limited, as compared to a case where ail the traveling data is analyzed without considération of this state. Accordingly, it was found that design flexibility of hardware resources can be enhanced with réduction of a load on hardware resources of a system. [0020] Through the foregoing findings, the inventors of the présent teaching hâve invented a leaning-vehicie-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of a leaning vehicle with enhanced design flexibility of hardware resources.

[0021] In addition, through an analysis of traveling data of leaning vehicles traveling on a public road in considération of the degree of traveling flexibility by an intention of a driver, the inventors of the présent teaching found that favorable analysis data can be provided by a driver of a leaning vehicle for business applications. This is because of capabiiity of output of analysis data spécifie to leaning vehicles that was previously difficult to output, such as driving skills of leaning vehicles in considération of various application scenes by using leaning-vehicle-traveling data in considération of the degree of traveling flexibility by an intensîon of a driver.

[0022] For example, a possible System détermines vehicle insurance fees of leaning vehicles. This system can be, for example, a remote processing computer including a portable terminal including a sensor for automatically collecting traveling data of a leaning vehicle, a server that receives the leaning-vehicle-traveling data coflected by the portable terminal, a database storing the collected leaning-vehicle-traveling data, and an évaluation engine that détermines an insurance fee of a leaning vehicîe based on the collected leaning-vehicle-traveling data.

[0023] The évaluation engine is capable of determining an insurance risk and an insurance fee based on a driving score of a driver obtained from the collected leaningvehicle-traveling data.

[0024] in the manner described above, the inventors of the présent teaching found that the use of driving skills of a driver of a leaning vehicle for risk évaluation of the driver simplifies analysis of a risk of the driver, and thus, a load on hardware resources of a System by data processing can be reduced and design flexibility of hardware resources can be enhanced.

[0025] In particular, from the viewpoint of risk évaluation, the inventors of the présent teaching found that an analysis of driving skilis of a driver in considération of the degree of iraveîing flexibility by an intension of the driver enables an output of data with high applicability to risk évaluation in business using a leaning vehicle. In addition, the inventors of the présent teaching found that by considering the degree of traveling flexibility by an intension of a driver of a leaning vehicle, data of an analysis target can be further simplified, and thus, a load on hardware resources of a system by data processing can be further reduced, and design flexibility of hardware resources can be further enhanced.

[0026] An analysis of driving skilis includes not only a skill of driving a leaning vehicle but also a skill concerning prédiction (prédiction skill) in driving the leaning vehicle. The driving skilis are included in analysis data obtained by analyzing leaning-vehicle-traveling data of a leaning vehicle obtained when an analysis target drives the leaning vehicle as a driver on a public road, based on leaning-vehicle-traveling-reference data described later. [0027] A teaning-vehicle-traveling-data-analysis method according to one embodiment of the présent teaching includes; a leaning-vehicle-traveling-reference-data-acquiring step of acquiring leaning-vehicle-traveling-reference data, the leaning-vehicle-travelingreference data being traveling reference data of a leaning vehicle that leans rightward when turning to the right and leans leftward when turning to the left; an analysis-leaningvehicle-traveling-data-acquiring step of acquiring leaning-vehicle-traveling data for analysis (analysis-leaning-vehicle-traveliog data), the analysis-leaning-vehicle-traveling data being traveling data of an analysis-target-leaning vehicle that is a leaning vehicle as an analysis target; an analysis-daia-acquiring step of analyzing the acquired anaîysisleaning-vehicle-traveling data based on the acquired leaning-vehicie-traveling-reference data, thereby acquiring analysis data of at least one of an analysis target that is a driver ίο be analyzed or the analysis-target-leaning vehicle; an output-data-generating step of generating output data to be output, by using the analysis data; and an output step of outputting the output data. In a case where a density range between a lowest density and a highest density of leaning vehicles traveling on a public road is divided into four density ranges, the leaning-vehicle-traveling-reference data is generated based on leaning-vehicle-traveling data for reference génération (reference-generation-leaningvehicle-traveling data) including a larger amount of traveling data of leaning vehides traveling on the public road in intermediate density ranges that are two density ranges except for a low density' range with a lowest density and a high density range with a highest density of the four density ranges than traveling data of leaning vehicles traveling on the public road in the low density range and the high density range of the four density ranges. The analysis-leaning-vehicle-traveling data includes analysistraveling-density-related data related to the density of ieaning vehicles when the analysis-target-leaning vehicle is driven by the analysis target and travels on a public road. Leaning-vehicie-traveling data of the analysis-target-leaning vehicle is analyzed in the leaning-vehicle-traveling-data-analysis method.

[0028] Traveling flexibility by an intension of a driver in a leaning vehicle is higher than that in a non-leaning vehicle. Thus, the driver makes a large number of déterminations from many options while driving the leaning vehicle. The driver of the leaning vehicle is iikeiy to be subjected to stress from the outside. In addition, traveling of the leaning vehicle is more greatly affected by driving of the driver than that of the non-leaning vehicle.

[0029] The leaning vehicle is more lightweight than the non-leaning vehicle. Thus, the leaning vehicle has higher mobility and is more convenient than the non-leaning vehicle. In addition, the leaning vehicle can be used for various applications, and tends to be frequently used. Thus, the leaning vehicle is used in various scenes.

[0030] Since the leaning vehicle is used in various scenes as described above, traveling data of the leaning vehicle varies depending on the degree of traveling flexibility by an intension of the driver.

[0031] In the case of the leaning vehicle, traveling flexibility by an intension of the driver varies depending on the density of leaning vehicles traveling on a public road. Specifically, traveling flexibility of the leaning vehicle by an intension of the driver has an inverse corrélation with the density of leaning vehicles traveling on a public road. For exampie, in a case where the density of ieaning vehicles traveling on a public road is low, traveling flexibility of a leaning vehicle by an intension of a driver is high, whereas in a case where the density of leaning vehicles traveling on a public road is high, traveling flexibility of a leaning vehicle by an intension of a driver is low. Thus, in considering traveling flexibility of a leaning vehicle by an intension of a driver, it is sufficient to consider the density of leaning vehicles traveling on a public road.

[0032] In a situation as described above, according to the configuration described above, the use of the leaning-vehicie-traveling data in considération of the degree of traveling flexibility by an intension of a driver enables an output of analysis data spécifie to leaning vehicles that was previously difficult to output, such as a driving skill of a leaning vehicle in which various application scenes are taken into account. For example, in an analysis using leaning-vehicie-traveling data in a state of high flexibility, a driveris skill of a leaning vehicle can be more accurately analyzed in more details. In addition, in an analysis using leaning-vehicie-traveling data with flexibility restricted to some degree, for example, a driver's prédiction skill of predicting traveling environments such as movement of surrounding vehicles can be more accurately analyzed in more details.

[0033] Furthermore, since leaning-vehicle-traveling data is analyzed in considération of the degree of traveling flexibility by an intension of a driver, data to be processed can be limited, as compared to a case where ail the traveling data is analyzed without considération of this State. Accordingly, design flexibility of hardware resources can be enhanced with réduction of a load on hardware resources of a system.

[0034] In this manner, the number of types of data to be processed by the device for analyzing leaning-vehicle-traveling data can be reduced so that a load on hardware ofthe device can be thereby reduced. In addition, hardware resources necessary for the device can be reduced so that design flexibility of hardware resources of the device can be thereby enhanced.

[0035] It is therefore possible to provide a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources of a device for analyzing leaning-vehicle-traveling data by reducing a load on hardware resources ofthe device.

[0036] In another aspect, the leaning-vehicle-traveling-data-analysis method according to the présent teaching preferably includes the following configurations. The referencegeneration-ieaning-vehicie-traveüng data includes classification-reiated data for classifÿing at least one of a driver or a leaning vehicle. The analysis-leaning-vehicletraveling data includes classification-related data for analysis (analysis-classificationretated data) for classifÿing at least one of the analysis target or the analysis-targetleaning vehicle, In the analysjs-data-acquiring step, the anaîysis-leaning-vehicletraveling data is analyzed based on the leaning-vehicle-traveling-reference data generated based on the reference-generation-leaning-vehicle-traveling data, to thereby acquire analysis data of at least one of the analysis target or the analysis-target-leaning vehicle classified by using the analysis-classification-related data.

[0037] With this method, în the device for analyzing leaning-vehicle-traveling data, at least one of the driver or the leaning vehicle can be processed for each section. Accordingly, a load on hardware of the device can be reduced. In addition, hardware resources necessary for the device can be reduced so that design flexibility of hardware resourçes of the device can be thereby enhanced.

[0038] In another aspect, the leaning-vehicle-traveling-data-analysis method according to the présent teaching preferably includes the following configurations, the analysis data is obtained by using an analysis resuit of synchronism of the analysis-leanrngvehicle-traveling data with respect to leaning-vehicle-traveling-reference data including data whose density is similar to a density of the analysis-traveling-density-related data, in the leaning-vehicie-traveling-reference data.

[0039] With this method, for example, while a driver as an analysis target drives an analysis-target-leaning vehicle in a crowded state with other leaning vehicles, synchronism between traveling data of the analysis-target-leaning vehicle and traveling data of the other leaning vehicles is evaluated so that analysis data spécifie to the leaning vehicle can be obtained in at least one of the analysis target or the analysis-targetleaning vehicle.

[0040] It is therefore possible to provide a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources of a device for analyzing leaning-vehicle-traveiing data by reducing a load on hardware resources ofthe device.

[0041] In another aspect, the leaning-vehicle-traveling-data-analysis method according to the present teaching preferably includes the following configurations. The analysis data includes data related to an évaluation resuit of a driving prédiction skill when the analysis target drives the analysis-target-leaning vehicle traveling on a public road.

[0042] With this method, analysis data including data related to an évaluation resuit of a driving prédiction skill of an analysis target can be obtained. In the case of driving a leaning vehicle, a driving prédiction skill is more important than in the case of driving a non-leaning vehicle. By including data related to an évaluation resuit of a driving prédiction skill in the analysis data, analysis data spécifie to the leaning vehicle can be obtained.

[0043] It is therefore possible to provide a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources of a device for analyzing leaning-vehicle-traveiing data by reducing a load on hardware resources ofthe device.

[0044] In another aspect, the leaning-vehicle-traveling-data-analysis method according to the present teaching preferably includes the following configurations. The referencegeneration-leaning-vehicle-traveling data includes at least one of leaning-vehicle-drivinginput data for reference génération (reference-generation-leaning-vehicle-driving-input data) related to a driving input by the driver to the leaning vehicle, leaning-vehiclelocation data for reference génération (refërence-generation-leaning-vehicte-location data) related to a traveling location of the leaning vehicle traveling on a public road, or leaning-vehicle-behavior data for reference génération (reference-generation-leaningvehicie-behavior data) related to a behavior of the ieaning vehicle. The analysisieaning-vehicle-traveling data includes at least one of leaning-vehicle-driving-input data for analysis (analysis4eaning-vehicle-driving-input data) related to a driving input by the analysis target to the analysis-target-leaning vehicle, îeanîng-vehicle-location data for analysis (analysis-leaning-vehicle-location data) related to a traveling location of the analysis-target-leaning vehicie traveling on a public road, or leaning-vehicle-behavior data fbr analysis (analysîs-leaning-vehicle-behavior data) related to a behavior of the analysis-target-leaning vehicle.

[0045] With this method, the leaning-vehicle-traveling data for use in analyzing the analysis-leaning-vehicie-traveling data inciudes data strongly refiecting driving skills of a driver of a leaning vehicle.

[0046] That is, analysis-leaning-vehicle-location data related to a traveling location of the analysis-target-leaning vehicle is used for specifying a positional relationship with other leaning vehicles in, for example, a case where an analysis-target-leaning vehicle driven by an analysis target travels in a predetermined density. The analysis-leaningvehicle-behavior data related to a behavior of an analysis-target-leaning vehicle is used for detecting driving skills of an analysis target from an analysis-leaning-vehicle behavior of the analysis-target-leaning vehicle driven by the analysis target in, for example, a case where the analysis-target-leaning vehicle driven by the analysis target travels in a predetermined density.

[0047] With this method, anaiysis-leaning-vehicle-traveling data can be more accurately analyzed based on the leaning-vehicle-traveling-reference data. The use of the analysis-leaning-vehicle-traveling data in which the types of data are specified can reduce the number of types of data to be processed by the device for analyzing leaningvehicle-traveling data and can further reduce a load on hardware of the device. In addition, hardware resources necessary for the device can be reduced so that design flexibility of hardware resources of the device can be thereby further enhanced.

[0048] It is thenefore possible to achieve a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the ieaning vehide with further enhanced design flexibility of hardware resources of the device for analyzing leaning-vehicle-traveling data.

[0049] In another aspect, the leaning-vehide-traveling-data-analysis method according to the présent teaching preferably includes the following configurations. The referencegeneration-leaning-vehicle-traveling data further includes leaning-vehicle-traveling environment data for reference génération (reference-gene ration-lean in g-vehicîetraveling-environment data) related to traveling environments in which the leaning vehicle traveis, The analysis-leaning-vehicle-traveling data further includes leaningvehicle-traveling-environment data for analysis (analysis-leaning-vehicîe-travelingenvironment data) related to traveling environments in which the analysis-target-leaning vehicle traveis,

[0050] The leaning-vehicle-traveling-environment data includes map data., for example. The map data may be associated with, for example, information on road situations, information on road traffic environments such as signais and faciîities, and régulation information on traveling on roads. The leaning-vehicle-traveling-environment data can be used for analyzing leaning-vehicie-traveling data together with the leaning-vehiclebehavior data and the leaning-vehicle-location data.

[0051] With this method, by using the leaning-vehicle-traveling-reference data, the analysis-leaning-vehicle-traveling data obtained when an analysis-target-leaning vehicle driven by an analysis target traveis on a public road can be more accurately analyzed. In addition, the use of the leaning-vehicie-traveling data in which the types of data are specified can reduce the number of types of data to be processed by the device for analyzing leaning-vehicie-traveling data and can further reduce a load on hardware of the device. In addition, hardware resources necessary for the device can be reduced so that design flexibiiity of hardware resources of the device can be thereby further enhanced.

[0052] !t is therefore possible to achieve a leaning-vehicie-traveling-data-analysis method capable of outputting analysis data spécifie to a Îeaning vehicle based on traveîing data of the leaning vehicle with further enhanced design flexibiiity of hardware resources.

[0053] In another aspect, the leaning-vehicle-traveling-data-analysis method according to the présent teaching preferably includes the following configurations. The referencegeneration-leaning-vehicîe-traveling data includes data in a State where options of détermination by the driver are limited by vehicles around the leaning vehicle but some options are left. The analysis-leaning-vehicle-traveling data includes data in a State where options of détermination by the analysis target are limited by vehicles around the anaiysis-target-leaning vehicle but some options are left.

[0054] The leaning-vehicie-traveling data in the State where options of détermination by the driver are limited but some options are left includes data spécifie to a ieaning vehicle, as compared to leaning-vehicie-traveling data in a State where no options of détermination by the driver are left. Thus, analysis data spécifie to a îeaning vehicle can be obtained by using the [eaning-vehicle-traveling data in the state where options of détermination by the driver are limited but some options are left. In addition, the use of the leaning-vehicle-traveling data in which the types of data are specified can reduce the number of types of data to be processed by the device for analyzing leaning-vehicletraveling data and can further reduce a load on hardware of the device. In addition, hardware resources necessary for the device can be reduced so that design flexibility of hardware resources of the device can be thereby further enhanced,

[0055] It is therefore possible to achieve a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with further enhanced design flexibility of hardware resources of the device for analyzing leaning-vehicle-traveling data,

[0056] In anoiher aspect, the leaning-vehicie-traveling-data-analysis method according to the present teaching preferably includes the following configurations, The referencegeneration-leaning-vehicîe-traveling data includes data in a state where at least one of a passenger or an object is mounted. The analysis-leaning-vehicle-traveling data includes data in a state where at least one of a passenger or an object is mounted, [0057] In the leaning vehicle in the state where at least one of a passenger or an object is mounted, a behavior spécifie to the leaning vehicle more greatîy appears than that in a state where none of a passenger and an object are mounted. Thus, leaningvehicle-traveling data of the analysis target as a driver can be more accurately analyzed by using the leaning-vehicle-traveling data including data in the state in the state where at least one of a passenger or an object is mounted. în addition, the use of the leaningvehicle-traveling data in which the types of data are specified can reduce the numb&r of types of data to be processed by the device for analyzing leaning-vehicle-traveîing data and can further reduce a load on hardware of the device. In addition, hardware resources necessary for the device can be reduced so that design flexibility of hardware resources of the device can be thereby further enhanced.

[0058] It is therefore possible to achieve a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with further enhanced design flexibility of hardware resources of the device for analyzing leaning-vehicle-traveling data.

[0059] In another aspect, the îeaning-vehicle-traveling-data-anaiysis method according to the present teaching preferably includes the following configurations. The acquired analysis data is stored. The stored analysis data comprises a plurality of sets of stored analysis data, and the output data is generated by using the plurality of sets of stored analysis data.

[0060] The use of the plurality of sets of analysis data enables more accurate analysis of analysis-leaning-vehicle-traveling data of an analysis target.

[0061] It is therefore possible to achieve a ieaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicie based on traveiing data of the leaning vehicie with enhanced design flexibility of hardware resources of the device for analyzing leaning-vehicle-traveling data.

[0062] In another aspect, the leaning-vehicle-traveling-data-analy sis method according to the présent teaching preferably includes the following configurations. The output data is generated as analysis data for data processing (data-processing-analysis data) to be used in further data processing.

[0063] Accordingiy, analysis data obtained by the leaning-vehicle-tra vélin g-dataanalysis method by using anaiysis-lèaning-vehicïe-traveiing data of an ânaïysis-targêtleaning vehicie driven by an analysis target can be used in another data processing device.

[0064] As a resuli, analysis data capable of being used for further data processing can be acquired with enhanced design flexibility of hardware resources of the device for analyzing leaning-vehicle-traveling data.

[0065] A leaning-vehicle-traveling-data-analysis device according to one embodiment of the présent teaching includes: a leaning-vehicle-traveling-reference-data acquirer configured to acquire leaning-vehicle-traveling-reference data, the leaning-vehicletraveling-reference data being traveiing reference data of a leaning vehicie that leans rightward when turning to the right and leans leftward when turning to the left; an analysis-leaning-vehicle-traveling-data acquirer configured to acquire analysis-leaningvehicle-traveling data, the analysis-leaning-vehicle-traveling data being traveiing data of an analysis-target-leaning vehicie that is a leaning vehicie as an analysis target; an analysis data acquirer configured to analyze the acquired analysis-leaning-vehicleiraveling data based on the acquired leaning-vehicle-traveling-reference data, thereby acquiring analysis data of at least one of an analysis target that is a driver to be analyzed or the analysis-target-leaning vehicie; an output data generator configured to generate output data to be output, by using the analysis data; and a data output section configured to output the output data. !n a case where a density range between a lowest density and a highest density of leaning vehicles traveiing on a public road is divided into four density ranges, the leaning-vehicle-traveiing-reference data is generated based on reference-generation-leaning-vehicle-traveling data including a larger amount of traveiing data of leaning vehicles traveiing on the public road in intermediate density ranges that are two density ranges except for a Iow density range with a lowest density and a high density range with a highest density of the four density ranges than traveling data of Ieaning vehicles traveling on the public road in the low density range and the high density range of the four density ranges. The analysis-leaning-vehicle-traveling data includes analysis-traveling-density-related data related to a density of Ieaning vehicles when the analysis-target-leaning vehicle is driven by the analysis target and travels on a public road. Leaning-vehicle-traveling data of the analysis-target-leaning vehicle is analyzed in that leaning-vehicle-traveling-data-analysis device,

[0066] In another aspect, leaning-vehicle-traveling-data-analysis device according to the présent teaching preferably includes the following configurations. The referencegeneration-leaning-vehicîe-traveling data includes classification-related data for ciassifying at least one of a driver or a Ieaning vehicle. The analysis-leaning-vehicletraveling data includes analysis-ciassificaiion-related data for ciassifying ai least one of the analysis target or the analysis-target-leaning vehicle. The analysis data acquirer analyzes the analysis-leaning-vehicle-traveling data based on the leaning-vehicletraveling-reference data generated based on the reference-generation-leaning-vehicletraveling data, to thereby acquire analysis data of at least one of the analysis target or the analysis-target-leaning vehicle classifted by using the analysis-classification-related data.

[0067] In another aspect, leaning-vehicle-traveling-data-analysis device according to the présent teaching preferably includes the following configurations. The analysis data is obtained by using an analysis resuit of synchronism of the analysis-leaning-vehicletraveling data with respect to the leaning-vehicle-traveling-reference data including data whose density is similar to a density of the analysisrtraveling-density-related data, în the leaning-vehicle-traveling-reference data.

[0068] In another aspect, teaning-vehicle-traveling-data-analysis device according to the présent teaching preferably includes the following configurations. The analysis data includes data related to an évaluation resuit of a driving prédiction skill when the analysis target drives the analysis-target-leaning vehicle traveling on a public road.

[0069] In another aspect, leaning-vehicle-traveling-data-anaiysis device according to the présent teaching preferably includes the following configurations. The référéncegeneration-îeaning-vehicle-traveling data includes at least one of reference-generationleaning-vehicle-driving-input data related to a driving input by the driver to the Ieaning vehicle, reference-generation-leaning-vehicle-location data related to a traveling location of the Ieaning vehicle traveling on a public road, or référénce-generation-leaning-vehiclebehavior data related to a behavior of the Ieaning vehicle. The analysis-leaningvehicle-traveling data includes at least one of anatysis-leaning-vehicle-driving-input data related to a driving input by the analysis target to the analysis-target-leaning vehicle, analysis-leaning-vehicle-location data related to a traveling location of the analysistarget-leaning vehicle traveling on a public road, or analysis-teaning-vehicle-behavior data reîated to a behavior of the anaîysis-target-ieaning vehicle.

[0070] !n another aspect, !eaning’vehic!e-tΓaveling'data-ar>al·ysis device according to the présent teaching preferabiy includes the following configurations. The referencegeneration-leaning-vehicle-traveîing data further includes reference-generation-leaningvehicîe-traveling-environment data related to traveling environments in which the leaning vehicle travels. The analysis-leaning-vehicle-traveling data further includes analysisleaning-vehicle-traveling-environment data related to traveling environments in which the analysis-target-leaning vehicle travels.

[0071] In another aspect, îeaning-vehicle-traveiing-daia-analysis device according to the présent teaching preferably includes the following configurations. The output data is generated as data-processing-analysis data to be used in further data processing.

[0072] A data processing method using analysis data according to one embodiment of the présent teaching is a data processing method using the output data generated as the data-processing-analysis data in the leaning-vehicle-traveling-data-analysis method described above. The data processing method acquires the output data. The data processing method acquires first data, the first data being different from the output data. The data processing method generates second data by using the output data and the first data, the second data being different from the output data and the first data. The data processing method outputs the second data.

[0073] The data processing method using analysis data may be any data processing method as long as the data processing method uses analysis data obtained by analyzing leaning-vehicle-traveling data. For example, the first data and the second data may be data related to markets, products, services, environments, or customers used in businesses of sharing of leaning vehicles, renting of leaning vehicles, leasing of leaning vehicles, vehicle insurance of leaning vehicles, and so forth.

[0074] With this method, the second data different from the acquired output data and the first data is generated by using the output data and the first data, and is output, where the output data is output by using analysis data of at least one of the analysis target or the analysis-target-îeaning vehicle obtained and classifîed by analyzing the analysisleaning-vehicle-traveling data, and the first data is different from the output data, in this manner, the second data can be generated more accurately and output.

[0075] As a resuit, the second data can be generated more precisely and output by using analysis data with enhanced design flexibility of hardware resources of the device for executing the data processing method employing the analysis data.

[0076] A data processing device using analysis data according to one embodiment of the présent teaching is a data processing device using the output data generated as the data-processing-anaiysis data in the leaning-vehicfe-traveling-data-analysis device described above. The data processing device inciudes: an output data acquirer configured to acquire the output data; a first data acquirer configured to acquire first data, the first data being different from the output data; a second data generator configured to generate second data by using the output data and the first data, the second data being different from the output data and the first data; and a second-dataoutput section configured to output the second data.

[0077] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of ihe invention.

[0078] As used herein, the term “and/or” includes any and ail combinations of one or more ofthe associated listed items.

[0079] It will be further understood that the terms “including,” “comprising or “having” and variations thereof when used in this spécification, specify the presence of stated features, steps, éléments, components, and/or their équivalents but do not preclude the presence or addition of one or more steps, operations, éléments, components, and/or groups thereof

[0080] It will be further understood that the terms mounted,” “connected,” “coupled,” and/or their équivalents are used broadly and encompass both direct and indirect mounting, connecting and coupling. Further, “connected” and “coupled are not restricted to physical or mechanical connections or couplings, and can include connections or couplings, whether direct or indirect.

[0081] Unless otherwise defined, ali terms (including technical and scientific terms) used herein hâve the same meaning as commonly understood by one having ordinary skill in the art to which this invention belongs.

[0082] !t will be further understood that terms, such as those defined in commonly used dictîonaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and the présent disclosure and will not be interpreted in an idealized oroverly formai sense unless expressly so defined herein.

[0083] In describing t’ne invention, it will be understood that a number of techniques and steps are disclosed. Each of these has individual benefit and each can also be used in conjunction with one or more, or in some cases ail, of the other disclosed techniques.

[0084] Accordingly, for the sake of clarity, this description will refrain from repeating every possible combination of the individual steps in an unnecessary fashion. Nevertheless, the spécification and claims should be read with the understanding that such combinations are entireiy within the scope of the invention and the daims.

[0085] in this spécification, embodiments of a leaning-vehicle-traveiing-data-anaiysis method, a leaning-vehicle-traveling-data-analysis device, a data processing method using analysis data, and a data processing device using analysis data according to the présent teaching will be described

[0086] In the following description, numerous spécifie details are set forth in order to provide a thorough understanding of the présent invention. It will be évident, however, to one skilled in the art that the présent invention may be practiced without these spécifie details.

[0087] The présent disclosure is to be considered as an exemplification of the invention, and is not intended to limit the invention to the spécifie embodiments illustrated by the figures or description below.

[0088] [Leaning Vehicle]

A leaning vehicle herein is a vehicle that tums in a leaning posture. Specifically, the leaning vehicle is a vehicle that leans leftward when turning to the left and leans rightward when tuming to the right, in the left-right direction of the vehicle. (n addition, the ieaning vehicle is a vehicle whose width is smalîer than a half of the width of a four-wheeled vehicle, or a vehicle whose width is smalîer than a half of the width of a lane on which a four-wheeled vehicle travels. The leaning vehicle may be a singlepassenger vehicle or a vehicle on which a plurality of passengers can ride. The leaning vehicle includes ail the types of vehicles that tum in leaning postures, such as threewheeled vehicles and four-wheeled vehicles as well as two-wheefed vehicles.

[0089] [Density of Leaning Vehicles]

The density of leaning vehicles herein refers to the number of leaning vehicles traveling within the width of a road on which one four-wheeled vehicle travels, for example. The density of leaning vehicles refers to, for example, the number of leaning vehicles traveling within a front-rear length from the front end to the rear end of two fourwheeled vehicles traveling with a predetermined interval. The density of leaning vehicles refers to, for example, the number of leaning vehicles traveling within a région having a road width on which one four-wheeled vehicle travels and a front-rear length from the front end to the rear end of two four-wheeled vehicles traveling with a predetermined interval.

[0090] A low density of leaning vehicles refers to the smallest density range of four density ranges obtained by dividing a density range between the lowest density and the highest density of leaning vehicles traveling on a public road. A high density of leaning vehicles refers to the highest density range of the four density ranges obtained by dividing the density range between the lowest density and the highest density of leaning vehicles traveling on a public road. An intermediate density of leaning vehicles refers to the remaining two density ranges of the four density ranges obtained by dividing the density range between the lowest density and the highest density of leaning vehicles traveling on a public road,

[0091] The lowest density of leaning vehicles refers to a state where the density of leaning vehicles is the lowest. The lowest density is, for example, a state where no leaning vehicles except the driver's own leaning vehicle are présent in a predetermined région in which the density of leaning vehicle is considered.

[0092] The highest density of ieaning vehicles refers to a state where the density of leaning vehicles is the highest. The highest density is, for example, a state where the maximum number of leaning vehicles travel while keeping distances that allow the vehicles to travel, in a predetermined région in which the density of ieaning vehicles is considered.

[0093] [Traveling Flexibility]

The traveling flexibility herein refers to the degree of flexibility in sélection of driving by a driver while the driver drives a leaning vehide. The sélection of détermination of driving includes, for example, sélection of a travel route of the leaning vehicle, sélection of acceleration/deceleration, sélection of operation of equipment in the leaning vehide.

[0094] Traveling flexibility by an intension of a driver in a leaning vehicle has an inverse corrélation with the density of leaning vehicles traveling on a public road. That is, when the density of leaning vehicles traveling on a public road is iow, traveling flexibility by an intension of a driver in a leaning vehicle is high. When the density of leaning vehicles traveling on a public road is intermediate, traveling flexibility by an intension of a driver in a leaning vehide is intermediate. When the density of leaning vehides traveling on a public road is high, traveling flexibility by an intension of a driver in a leaning vehide is low.

[0095] A low traveling flexibility by an intension of a driver refers to a range with the lowest traveling flexibility of four ranges obtained by diving a range between î'ne lowest traveling flexibility and the highest traveling flexibility into four ranges. A high traveling flexibility by an intension of a driver refers to a range with the highest traveling flexibility of the four ranges obtained by diving the range between the lowest traveling flexibility and the highest traveling flexibility into four ranges. An intermediate traveling flexibility by an intension of a driver refers to the remaining two ranges of the four ranges obtained by diving the range between the lowest traveiing flexibility and the highest traveling flexibility into four ranges.

[0096] In the case of four-wheeled vehicles, when the density of four-wheeled vehicles traveling on a public road is low, traveling flexibility by an intension of a driver in a fourwheeled vehicle is intermediate. When the density of four-wheeled vehicles traveling on a public road is intermediate or high, traveling flexibility by an intension of a driver in a four-wheeled vehicle is low.

[0097] [Flexibility-Related Data]

Flexibility-related data herein refers to data related to traveling flexibility in sélection of driving by a driver while the driver drives a leaning vehicle. The flexibilityrelated data includes, for example, data related to fiexibiiity in sélection in a travel route of a leaning vehicle, data related to flexibility in sélection in acceleration/decele ration, and data related to flexibility in sélection of equipment operation in the leaning vehicle.

[0098] [Classification-Related Data]

Ciassification-related data herein refers to data for ciassifying at least one of a driver or a leaning vehicle. The ciassification-related data includes, for example, data for ciassifying an individual driver, data for ciassifying the sex of the driver, data for classifÿing an âge group of the driver, data for ciassifying a manufacturer of a vehicie, data for ciassifying a vehicle type, and data for ciassifying vehicle performance (e.g., type and power of a driving source, performance of a suspension, etc.).

[0099] [Public Road]

A public road herein is not a roadway in a simulation and a circuit, but a road for public on which general vehicles can travei. The public road includes a private road on which general vehicles can travel.

[0100] [Driving Skill]

Driving skills herein refer to skills related to driving of a driver of a leaning vehicle. The driving skills include not only skills for driving a leaning vehicle, but also prédiction skills conceming prédiction in driving the leaning vehicle.

[0101] [Leaning-Vehicle-Traveling Data]

Leaning-vehicie-traveling data herein refers to data related to traveiing of a leaning vehicle. Specifically, the leaning-vehicie-traveling data includes at ieast one of leaning-vehicle-driving-input data related to a driving input to a leaning vehicle by a driver, leaning-vehicle-behavior data related to a behavior of the leaning vehicle, leaningvehicle-location data related to a traveling location of the leaning vehicle, or leaningvehicie-traveling-environment data related to a traveling environment in which the leaning vehicle travels. The leaning-vehicle-traveling data may include processed data obtained by processing, for example, the leaning-vehide-behavior data, the leaning-vehicletocaiion data, and the leaning-vehicle-traveling-environment data. The leaning-vehicletraveling data may indude processed data obtained by processing the îeaning-vehiclebehavior data, the leaning-vehide-location data, and the leaning-vehicle-travelingenvironment data with other data.

[0102] [Leaning-Vehide-Driving-Input Data]

The leaning-vehicle-driving-input data herein is data related to an operation input of a driver that is performed when the driver drives a leaning vehicle. Specifically, the leaning-vehicie-driving-input data may include data related to, for example, an accelerator operation, a brake operation, steering, or a positionai change of the center of gravity caused by a change in posture of the driver, Specifically, ihe leaning-vehiciedriving-input data may indude data related to, for example, operations of various switches such as a hom switch, a winker switch, and a lighting switch. The leaningvehicie-driving-input data is data related to a driving input by the driver, and thus, more strongly reflects driving skills of the driver, for example. In the leaning vehicle, there are a large number of types of operation by the driver and flexibility in options by the driver during driving is high. Thus, driving skills of the driver, for example, tend to be strongly reflected. The leaning-vehicie-driving-input data may include processed data obtained by processing data acquired from, for example, a sensor. The leaning-vehicie-drivinginput data may include processed data obtained by processing data acquired from, for example, the sensor with other data.

[0103] [Leaning-Vehicîe-Behavior Data]

The leaning-vehide-behavior data herein is data related to a behavior of a leaning vehicle caused by an operation input by a driver while the leaning vehicle is driven by the driver. Specifically, the leaning-vehide-behavior data includes, for example, an accélération, a veloçity, and an angle that vary when the driver as an analysis target drives. That is, the leaning-vehide-behavior data is data showing a behavior of the leaning vehicle occumng, for example, in a case where the driver as an analysis target perforons an accelerator operation or a brake operation to accélérais or decelerate the leaning vehicle, or in a case where steering of the leaning vehicle or a posture change including a positionai change of the center of gravity is performed. [0104] As described above, the leaning-vehide-behavior data may include not only the data conceming an accélération, a veloçity, and an angle of the leaning vehicle but also an operation occurring in the leaning vehicle due to, for example, a switch operation performed on the leaning vehicle by the driver as an analysis target. That is, the leaning-vehicle-behavior data includes data related to operations occurring in the Ieaning vehicle due to operations of various switches such as a hom switch, a winker switch, and a lighting switch. The leaning-vehicie-behavior data strongly reflects a resuit of a driving input by the driver. Thus, the leaning-vehicle-behavior data also tends to strongly refiect 5 leaning-vehicle-driving skills of the driver. The leaning-vehicle-behavior data may include processed data obtained by processing data acquired from, for example, a sensor. The leaning-vehicle-behavior data may include processed data obtained by processing data acquired from, for example, the sensor with other data.

[0105] [Leaning-Vehicle-Location Data]

The leaning-vehicle-location data herein is data related to a location of a

Ieaning vehicle. For example, the leaning-vehicle-location data can be detected based on information from a GPS, or a communication base station of a communication portable terminal. The leaning-vehicle-location data can be calculated by various positioning techniques, a SLAM, or the like. The leaning-vehicle-location data strongly reflects a 15 resuit of a driving input by frie driver. Thus, the leaning-vehicle-location data also includes data spécifie to a Ieaning vehicle. The leaning-vehicle-location data may include processed data obtained by processing data acquired from, for exampie, a sensor. The leaning-vehicle-location data may include processed data obtained by processing data acquired from, for example, the sensor with other data.

[0106] [Leaning-Vehicle-Traveling-Environment Data]

The ieaning-vehicle-traveling-environment data herein includes map data, for example. The map data may be associated with, for example, information on road situations, information on road traffic environments such as signais and facilities, and régulation information on traveling on roads. The map data may be associated with 25 environmental data such as weather, température, and humidity. The leaning-vehicletraveiing-environment data can be used for anaiyzing leaning-vehicle-traveling data together with the leaning-vehicle-behavior data and the leaning-vehicle-location data. [0107] The information on road situations includes information on roads (areas) under crowded conditions, such as a condition in which traffre congestion frequently occurs and 30 a condition in which many vehicles are parked on streets. Précision of the information increases when being combined with time frames. The information on road situations includes information on roads that easily flood upon squaifs.

[0108] The leaning-vehicle-traveling-environment data is considered to be an example of a factor affecting traveling of Ieaning vehicles. The leaning-vehicle-traveling35 environment data affects détermination of a driver, driving, and traveling of a Ieaning vehicle. Thus, with use of the leaning-vehicle-traveling-environment data, data obtained by analyzing traveling data of a leaning vehicle is more likely to include data spécifie to the leaning vehicle. In addition, the user of the leaning-vehide-traveling-envlronment data affects the purpose of use and frequency of use of the îeaning vehicle, and thus, data obtained by analyzing traveling data of the leaning vehicle is more likely to include data spécifie to the leaning vehicle.

[0109] The leaning-vehtcle-traveJing-envitOnment data can be acquired by various configurations. The configuration for acquiring the ieamng-vehide-traveling-environment data is not limited to a spécifie configuration. For example, the configuration for acquiring the leaning-vehicie-traveling-environmeni data is an external-environmentrecognition device mounted on the leaning vehicle More specifically, the configuration for acquiring the leaning-vehicie-traveling-environment data is, for example, a caméra or a radar. Aîtemativery, the configuration for acquiring the leaning-vehicle-travelingenvironment data is a communication device. More specifically, the configuration for acquiring the leaning-vehicie-traveling-environmeni data is a vehicle-to-vehicle communication device or a road-to-vehide communication device. The leaning-vehicletraveling-environment data can also be obtained through the internet, for example.

[0110] [Synchronisai of Leanîng-Vehicle-Traveitng Data]

Synchronisai of leaning-vehide-traveling data herein refers to the degree of déviation of leaning-vehicle-traveling data of a leaning vehicle driven by an analysis target with respect to a group behavior including leaning-vehide-traveling data in a plurality of leaning vehicles including the leaning vehide driven by the analysis target. As the degree of déviation decreases, synchronisai of the analysis target increases. The group behavior may include, for example, data of a mean value or a behavior frequency obtained from leaning-vehide-traveling data ân the plurality of leaning vehicles.

obtained from leaning-vehicle-traveling data of the leaning vehicle driven by the analysis target with respect to a group behavior frequency obtained from leaning-vehide-traveling data in the plurality of leaning vehicles.

[0111] [Including Larger Amount of B Than A]

The expression “induding a larger amount of B than A” herein may include a case where no A is înduded. The expression 'including a larger amount of B than A” may include a case where A is partîally included.

[0112] For example, in a case where a density range between frie lowest density and the highest density of leaning vehicles traveling on a public road is divided into four density ranges, the expression including a larger amount of traveling data of leaning vehicles traveling on a public road in intermediate density ranges that are two density ranges except for a low density range with a lowest density and a high density range with a highest density of the four density ranges than the amount of traveling data of leaning vehicles traveling on the public road in the low density range and the high density range of the four density ranges” may include no traveling data of the leaning vehicles traveling on the public road in the low density range and the high density range. For example, in the case where a density range between the lowest density and the highest density of leaning vehicles traveling on a public road is divided into four density ranges, the expression “including a larger amount of traveling data of leaning vehicles traveling on a public road in intermediate density ranges that are two density ranges except for a low density range with a lowest density and a high density range with a highest density range of the four density ranges than the amount of traveling data of leaning vehicles traveling on the public road in the low densiiy range and ihe high density range of the four density ranges may partially include traveling data ofthe leaning vehicles traveling on the public road in the low density range and the high density range.

ADVANTAGEOUS EFFECTS OF INVENTION

[01131 One embodiment of the présent teaching can provide a leaning-vehicleiraveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources by reducing a load on hardware resources.

BR1EF DESCRIPTION OF DRAWINGS

[0114] [FIG. 1] FIG. 1 is a view illustrating a schematic configuration of a leaningvehicle-traveling-data-analysis device according to an embodiment of the présent teaching.

[FIG. 2] FIG. 2 is a flowchart depicting an example of an operation of the leaning-vehicle-traveling-data-analysis device.

[FIG, 3] FIG, 3 is a view illustrating a schematic configuration of a leaningvehicle-traveîing-data-anaiysis device according to a second embodiment.

[FIG. 4] FIG. 4 is a view illustrating a schematic configuration of a leaningvehicle-traveling-data-analysis System according to a third embodiment.

[FIG, 5] FIG, 5 is a flowchart depicting an example of an operation of a data processing device.

[FIG. 6] FIG, 6 is a view of leaning vehicles when viewed from above in order to describe the density of leaning vehicles traveling on a public road.

[FIG. 7] FIG. 7 is a view showing a relationship between the density of leaning vehides traveling on a public road and traveling flexibility by an intension of a driver.

[FIG. 8] FIG. 8 is a view showing a relationship between the density of fourwheeled vehicles traveling on a public road and traveling flexibility by an intension of a driver.

[FIG. 9] FIG. 9 is a view illustrating a schematic configuration of a ieaningvehrcle-traveling-data-analysis device and showing a relationship between the density of leaning vehicles traveling on a public road and traveling flexibility by an intension of a driver.

DESCRIPTION OF EMBODIMENT

[0115] Embodiments will be described hereinafter with reference to the drawings. The dimensions of components in the drawings do not strictly represent actuel dimensions of the components and dimensional proportions of the components.

[0116] <First Embodiment* ( Leaning-Veh icle-Τraveli ng-Data-Ana lysis Device)

FIGS. 1 and 9 illustrate schematic configurations of a leaning-vehide-travelingdata-analysis device 1 according to an embodiment of the présent teaching, The leaning-vehicle-traveling-data-analysis device 1 is a device that analyzes leaning-vehicletraveling data while an analysis target drives a leaning vehicle X on a public road, The leaning-vehicle-traveling-data-analysis device 1 according to this embodiment analyzes traveling data (analysis-target-leaning-vehicle-traveling data) of the leaning vehicle X (analysis-target-leaning vehicle) obtained when the analysis target drives the leaning vehicle X on a public road, and outputs a resuit of the analysis.

[0117] The leaning-vêniciê-travêling data according to this embodirnent is data related to traveling of a leaning vehicle. The leaning-vehicle-traveling data refers to data used for obtaining analysis data including data related to, fer example, driving skills of a driver in data related to traveling of a leaning vehicle obtained when the driver drives the leaning vehicle,

[0118] Specifically, the leaning-vehicle-traveling data includes, for exampie, leaningvehicle-driving-input data related to a driving input to a leaning vehicle by a driver, leaning-vehicie-behavior data related to a behavior of the leaning vehicle, leaningvehide-location data related to a traveling location of the leaning vehicle, and a leaningvehicle-traveîing-environment data related to a traveling environment in which the leaning vehicle travels. The leaning-vehicle-traveling data may include data other than the leaning-vehicle-driving-input data, the leaning-vehicie-behavior data, the leaning-vehidelocation data, and the leanîng-vehicie-traveling-environment data. The leaning-vehicletraveling data may indude only one or more of the leaning-vehide-driving-input data, the leaning-vehicle-behavior data, the leaning-vehicle-location data, and the leaning-vehicletraveling-environment data.

[0119] For example, in a case where the îeaning venicie is the leaning vehicle X that is an analysis leaning vehicle, the leaning-vehicie-traveling data is leaning-vehicie-traveling data for analysis (analysis-leaning-vehicle-traveling data), the Ieaning-vehicle-drivinginput data is Ieaning-vehicle-driving-input data for analysis (analysis-leaning-vehicledriving-input data), the leaning-vehicle-behavior data is leaning-vehicle-behavior data for analysis (analysis-leaning-vehicle-behavior data), the leaning-vehicle-location data is leaning-vehicle-location data for analysis (analysis-leaning-vehicle-location data), and the leaning-vehicle-traveling-environment data is ieaning-vehicle-traveling-environment data for analysis (analysis-leaning-vehicle-traveling-environment data).

[0120] The îeaning-vehicle-iraveling data may include processed data obtained by processing, for example, the Ieaning-vehicle-driving-input data, the leaning-vehiclebehavior data, the leaning-vehicle-location data, and the leaning-vehicle-travelingenvironment data. The leaning-vehicie-traveling data may include processed data obtained by processing, for example, the Ieaning-vehicle-driving-input data, the leaningvehicle-behavior data, the leaning-vehicle-location data, and the leaning-vehicletraveling-environment data with other data.

[0121] The Ieaning-vehicle-driving-input data is data related to an operation input of a driver that is performed when the driver drives a leaning vehicle. Specifically, the ieaning-vehicle-driving-input data may include data related to, for example, an accelerator operation, a brake operation, steering, or a positional change of the center of gravity caused by a change in posture of the driver. Specifically, the Ieaning-vehicle-drivinginput data may include data related to, for example, operations of various switches such as a hom switch, a winker switch, and a lîghting switch. The Ieaning-vehicle-drivinginput data is data related to a driving input by the driver, and thus, more greatly reflects driving skills of the driver, for example. In the leaning vehicle, there are a large number of types of operation by the driver and flexibiiity in sélection by the driver during driving is high. Thus, driving skills ofthe driver, for example, tends to be strongly reflected. The Ieaning-vehicle-driving-input data may include processed data obtained by processing data acquired from, for example, a sensor. The Ieaning-vehicle-driving-input data may include processed data obtained by processing data acquired from, for example, the sensor with other data.

[0122] The leaning-vehicle-behavior data is data related io a behavior of a leaning vehicle caused by a driving input by a driver while the leaning vehicle is driven by the driver. Specifically, the leaning-vehicle-behavior data includes, for example, an accélération, a velocity, and an angle that vary when the driver drives the leaning vehicle. That is, the leaning-vehicle-behavior data is data showing a behavior of the leaning vehicle occurring, for example, in a case where the driver performs an accelerator operation or a brake operation to accelerate or decelerate the leaning vehicle, or in a case where steering of the leaning vehicle or a posture change including a positional change of the center of gravity is performed.

[01231 As described above, the leaning-vehicle-behavior data may include not only the data concerning an accélération, a velocity, and an angle of the leaning vehicle but also an operation occurring in the leaning vehicîe due to, for exampîe, a switch operation performed on the leaning vehicle by the driver. That is, the leaning-vehicle-behavior data includes data related to operations occurring in the leaning vehicle due to operations of various switches such as a horn switch, a winker switch, and a ïighting switch. The leaning-vehicle-behavior data strongly reflects driving skilis of the driver, for example. Thus, the leaning-vehicle-behavior data also tends to strongly reflect driving skills of the driver, for example. The leaning-vehicle-behavior data may include processed data obtained by processing data acquired from, for example, a sensor, The leaning-vehiclebehavior data may include processed data obtained by processing data acquired from, for example, the sensor with other data.

[0124] The Ieaning-vehicle4ocation data is data related to a traveling location of a ieaning vehicle. For example, the leaning-vehicle-location data can be detected based on, for example, information from a GPS, or a communication base station of a communication portable terminai. The leaning-vehicîe-location data can be calculated by various position ing techniques, a SLAM, or the like. The leaning-vehicle-location data strongly reflects driving skills of the driver, for exampîe. Thus, the leaning-vehiclelocation data also tends to strongly reflect driving skills of the driver, for example. The leaning-vehicle-location data may include processed data obtained by processing data acquired from, for exampîe, a sensor. The leaning-vehicle-location data may include processed data obtained by processing data acquired from, for example, the sensor with other data.

[0125] The ieaning-vehicle-traveling-environment data includes map data, for example. The map data may be associated with, for example, information on road situations, information on road traffic environments such as signais and facilities, and régulation information on traveling on roads. The map data may be associated with environmental data such as weather, température, and humidity. The leaning-veh icle-travelingenvironment data can be used for analyzing ieaning-vehicie-traveling data, together with the leaning-vehicle-driving-input data, the leaning-vehicle-behavior data, and the leaning25 vehicle-location data.

[0126] The information on road situations includes information on roads (régions) under crowded conditions, such as a condition in which traffic congestion frequently occurs and a condition in which many vehicles are parked on streets. Précision of this 5 information increases when being combined with time frames. The information en road situations includes information on roads that easily flood upon squalls.

[0127] The leaning-vehicle-traveling-environment data is considered to be an exampie of stress on the driver from the outside. The leaning-vehicle-traveling-environment data affects driving of the driver. Thus, the use of the leaning-vehicle-tnaveling-environment tO data causes driving skills of the driver, for example, to more strongly appear in traveling data of the leaning vehicle. The use of the lean ing-vehicle-traveling-environ ment data affects the purpose of use and frequency of use of the leaning vehicle, and thus, traveling data of the leaning vehicle is more lîkely to include data spécifie to a leaning data.

[0128] The leaning-vehicle-travsling-data-analysis device 1 includes a leaning-vehicle15 traveling-reference-data acquirer 10, an analysis-leaning-vehicle-traveling-data acquirer

20, an analysis data acquirer 30, an output data generator 40, a data output section 50, and a data memory 60. In this embodiment, the leaning-vehicle-traveling-data-analysis device 1 is, for exampie, a portable terminal held by an analysis target. The leaningvehicie-traveling-data-analysis device 1 may be an arithmetic processing unit that 20 acquires data through communication and performs a computation process.

[0129] The analysis-Ieaning-vehicle-traveiing-data acquirer 20 acquires analysisleaning-vehicle-traveling data including traveling data when a driver as an analysis target drives the leaning vehicle X on a public road.

[0130] Specificalîy, the anaiysis-leaning-vehicîe-traveling-data acquirer 20 acquires 25 data included in leaning-vehicle-traveling data of the leaning vehicle X when the analysis target drives the leaning vehicle X, that is, analysis-leaning-vehicle-driving-input data, analysis-leaning-vehicle-behavior data, analysis-leaning-vehicle-iocation data, analysisleaning-vehîcle-traveling-environment data, and so forth.

[0131] The analysis-leaning-vehicle-traveling-data acquirer 20 may acquire, for 30 example, driving ofthe leaning vehicle X by the analysis target as an operation signal to thereby acquire the anaiysis-leaning-vehicle-driving-input data. Specificalîy, the analysis-leaning-vehicle-traveling-data acquirer 20 may acquire data related to an operation input by the driver in the leaning vehicle X, that is, data related to, for example, an acceîerator operation, a brake operation, steering, or a positional change of the 35 center of gravity caused by a change in posture of the driver, and data related to, for example, operations of various switches such as a hom switch, a winker switch, and a lighting switch. These sets of data are transmitted from the leaning vehicle X.

[0132] The analysis-leaning-vehrcle-traveling-data acquirer 20 may acquire, for example, data including an accélération, a velocity, and an angle ofthe leaning vehicle X that change when the driver as an analysis target drives the leaning vehicle X as analysis-lsaning-vehicle-behavior data. The analysis-leaning-vehide-traveling-data acquirer 20 acquires the analysis-leaning-vehicle-behavior data by, for example, a gyro sensor. The analysis-feaning-vehide-behavior data is data showing a behavior of the leaning vehicle X occurring in a case where the driver as an analysis target performs an accelerator operation or a brake operation to accelerate or decelerate the leaning vehicle X or in a case where steering of the leaning vehicle X or a posture change including a positionat change of the center of gravity is performed, for example.

[0133] The analysis-ieaning-vehide-iraveling-data acquirer 20 may acquire an operation occurring in the leaning vehicle X by, for example, a switch operation performed by the driver as an analysis target on the leaning vehicle X, as the leaningvehicle-behavior data, That is, the anaiysis-leaning-vehicle-traveling-data acquirer 20 may acquire data related to an operation occurring in the leaning vehicle X by, for example, operations of various switches such as a hom switch, a winker switch, and a lighting switch, as the analysis-leaning-vehicle-behavior data, These sets of data are transmitted from the leaning vehicle X to the leaning-vehicle-traveling-data-analysis device 1.

[0134] The analysis-teaning-vehrcle-traveling-data acquirer 20 may acquire analysisleaning-vehicle-location data related to a traveling location of the leaning vehicle X, based on information from GPS or a communication base station of a communication portable terminal, for example. The analysis-leaning-vehicle-location data can be calculated by various positioning techniques, a SLAM, or the like.

[0135] The analysis-leaning-vehide-traveling-data acquirer 20 may acquire the analysis-leaning-vehicle-traveling-environment data from for example, map data. The map data may be associated with, for example, information on road situations, information on road traffic environments such as signais and facilities, or régulation information on traveling on roads. The map data may be associated with environmental data such as weather, température, and humidity, The map data may include information in which road information and information on road traffic environments (accompanying information to a road such as a signal) are associated with rule information on traveling on a road.

[0136] The analysis-leaning-vehicle-traveling-data acquirer 20 may acquire the analysis-leaning-vehide-traveling-environment data by, for example, an extemal envtronment-recognition device mounted on the ieaning vehicle X, More specificalîy, the anaîysis-leaning-vehicie-traveling-data acquirer 20 may acquire the analysis-leaningvehicle-traveiing-environment data from a caméra or a radar, for exampîe. The analysisleaning-vehîcle-traveling-data acquirer 20 may also acquire the analysis-leaning-vehicîetraveling-environmenl data by, for example, a communication device. More specificalîy, the analysis-leaning-vehicle-traveling-data acquirer 20 may acquire the anaîysis-leaningvehicle-traveiing-envifonment data by a vehicle-to-vehicle communication device or a road-to-vehicie communication device. The analysis-ieaning-vehicîe-traveling-data acquirer 20 may acquire the analysis-leaning-vehicle-traveling-environment data through, for example, the Internet. As described above, the analysis-leaning-vehicle-traveiingenvironment data can be acquired by various configurations. The configuration for acquiring the anaiysis-ieaning-vehicïe-traveïing-environmeni data is not îimited to a spécifie configuration.

[0137] In this embodiment, the analysis-leaning-vehicle-traveling-data acquirer 20 may also acquire information (e.g., classification-related data) reîated to an analysis target and the leaning vehide X, for example. The analysis-ieaning-vehicle-traveling-data acquirer 20 may acquire the data from the data memory 60 storing input data or acquire data directly input to the leaning-vehicle-traveling-data-analysis device 1. The analysisleaning-vehicie-traveiing-data acquirer 20 may acquire information from the leaning vehide X.

[0138] The analysis-leaning-vehicle-traveling-data acquirer 20 may receive and acquire a détection signai from, for example, a detector for detecting operation signais of a gyro sensor mounted on the leaning vehicle X, a GPS, and various switches.

[0139] The analysis-îeaning-vehide-traveling data includes anaîysis-traveling-densityrelated data related to the density of leaning vehicles X traveling on a public road. The analysis-leaning-vehide-traveling data may include classification-reîated data for analysis (anaiysis-dassifiçation-related data) used for dassifying the analysis target.

[0140] The density of leaning vehicles refers to the number of leaning vehicles traveling within the width of a road on which one four-wheeled vehicle travels. The density of leaning vehicles refers to, for example, the number of ieaning vehicles traveling within a front-rear length from the front end to the rear end of two four-wheeled vehicles traveling with a predetermined interval. The density of ieaning vehicies refers to, for example, the number of ieaning vehicles traveling within a région having a road width on which one fourwheefed vehicle travels and a front-rear length from the front end to the rear end of two four-wheeled vehicles traveling with a predetermined interval.

[0141] FIG. 6 is a view of leaning vehicles X when viewed from above in order to describe the density of leaning vehicles X traveling on a public road. In FIG. 6, (A) schematîcally illustrâtes a case where the density of leaning vehicles X is low, (B) schematically illustrâtes a case where the density of leaning vehîcies X is high, and (C) schematîcally illustrâtes a case where the density of four-wheeled vehicles P is high. In

FIG. 6, bold solid lines represent lane boundaries L on a public road. The road width refers to a distance between a pair of lane boundaries L.

[0142] In FiG. 6, the number of leaning vehicles X located between a pair of Chain lines is the density of leaning vehicles X traveling on the public road. As illustrated in FIG. 6, four-wheeled vehicles P traveling on a public road need to keep an appropriate intervai therebetween in the front-back direction, and thus, the number of four-wheeled vehicles P located between a pair of Chain lines does not significantly vary. On the other hand, leaning vehicles X traveling on the public road has a smaller width than fourwheeled vehicles, and thus, the density of ieaning vehicles X tends to vary greatly.

[0143] FIG. 7 is a view showing a relationship between the density of leaning vehicles 15 X traveling on a public road and traveling flexibility by an intension of a driver. As shown in FIG. 7, traveüng flexibility by an intension of a driver in a leaning vehicle X has an inverse corrélation with the density of leaning vehicles X traveling on the public road.

[0144] That is, when the density of leaning vehicles X traveling on a public road is low, traveling flexibility by an intension of a driver in the leaning vehicle X is high. When the 20 density of leaning vehicles X traveling on a public road is intermediate, traveling flexibility by an intension of a driver in a leaning vehicle X is intermediate. When the density of ieaning vehicles X traveling on a public road is high, traveling flexibility by an infension of a driver in a leaning vehicle X is low.

[0145] FIG. 8 is a view showing a relationship between the density (number) of four25 wheeled vehicles P and traveling flexibility by an intensîon of a driver. As shown in FIG.

8, there is no strong inverse corrélation as in the case of a leaning vehicle, between the density of four-wheeled vehicles P traveling on a public road and traveling flexibility by an intension of a driver.

[0146] A low density of leaning vehicles refers to the smallest density range of four 30 density ranges obtained by dividing a density range between the lowest density and frie highest density of leaning vehicles traveling on a public road into four. A high density of ieaning vehicles refers to the highest density range of the four density ranges obtained by dividing the density range between the lowest density and the highest density of leaning vehicles traveling on a public road into four. An intermediate density of leaning vehicles 35 refers to the remaining two density ranges of the four density ranges obtained by dividing the density range between the lowest density and the highest density of leaning vehicles traveiing on a public road into four density ranges.

[0147] Traveling-density-related data is data related to a density including other ieaning vehicles traveling on a public road when a driver drives a leaning vehicle on the public road.

[0148] The traveling flexibility refers to the degree of flexibility in sélection of détermination by an analysis target when the analysis target drives a leaning vehicle. Examples of the sélection of détermination of driving include sélection of a travel route of the leaning vehicle X, sélection of acceleration/deceleration, sélection of operation of equipment in the leaning vehicle.

[0149] Flexibility-related data refers to data related to traveling flexibility in sélection of driving by a driver while the driver drives a leaning vehicle. Thus, the flexibility-related data includes, for example, data related to flexibility in Sélection in a travel route of a leaning vehicle, data related to flexibility in sélection of acceleration/deceleration, and data related to flexibility in sélection of equipment operation in the leaning vehicle.

[0150] The flexibility-related data is generated by using, for example, leaning-vehiclelocation data and leaning-vehicle-traveling-environment data. The flexibility-related data may be generated by using at least one of the leaning-vehicîe-driving-input data or the leaning-vehicle-behavior data.

[0151] Ciassification-related data refers to data for ciassifying at least one of a driver or a leaning vehicle. The ciassification-related data includes, for example, data for ciassifying an individual driver, data for classifÿing the sex of the driver, data for ciassifying an âge group of the driver, data for ciassifying a manufacturer of a vehicle, data for ciassifying a vehicie type, and data for ciassifying vënicle performance (e.g., type and power of a driving source, performance of a suspension, etc.).

[0152] For example, in a case where the leaning vehicle is a leaning vehicle X that is an analysis-target-leaning vehicle, the traveling-density-related data is analysis-travelingdensity-related data, the flexibility-related data is flexibility-related data for analysis (analysis-flexibility-related data), and the ciassification-related data is analysisclassification-related data.

[0153] The leaning-vehicle-traveling-data-analysis device 1 takes the analysistraveling-density-related data in to considération in generating analysis data by analyzing anaiysis-leaning-vehicîe-traveling data to thereby enabie an output of analysis data spécifie to leaning vehicles that was difficult to output, such as driving skills of leaning vehicles X in which various application scenes are taken into account. The leaningvehicle-traveling-data-analysis device 1 enables skills of an analysis target in driving a leaning vehicle X to be analyzed more accurateîy in more details in an analysis using leaning-vehicle-traveling data in a state where the density of leaning vehicles is iow, that is, a state where flexibility in driving by a driver is high, for example. The leaningvehicle-traveling-data-analysis device 1 enabîes a prédiction skiil ofthe analysis target in predicting traveiing environments such as movement of vehicles in the vicinity to be analyzed more accurately in more details in an analysis using leaning-vehicle-traveling data in a state where the density of leaning vehicles is about intermediate, that is, a state where flexibility in driving by the driver is restricted to some degree, for example.

[0154] The analysis-traveling-density-related data may be used for limiting leaningvehicle-traveling-reference data described later to data showing similar densities of leaning vehicles in analyzing analysis-leaning-vehicle-traveling data to generate analysis data. With the use of anaiysis-traveling-density-related data described above, data to be processed can be limited in analyzing analysis-leaning-vehicie-traveling data to generate analysis data so that a ioad on hardware resources can be thereby reduced.

[0155] The analysis-classifîcation-related data is used to limit leaning-vehicle-travelingreference data described later to data associated with categories such as attributes (e.g., sex, âge, etc.) of an analysis target, a manufacturer, and a vehicie type in analyzing analysis-leaning-vehicle-traveling data to generate analysis data. With the use of this analysrs-classification-related data described above, data to be processed can be limited in analyzing analysis-leaning-vehicle-traveling data to generate analysis data so that a load on hardware resources can be thereby reduced.

[0156] The leaning-vehicie-traveling-reference-data acquirer 10 acquires îeaningvehicle-traveling-reference data to be used in analyzing analysis-leaning-vehicle-traveling data. The leaning-vehicle-traveling-reference data is generated based on referencegeneration-lean ing-vehicie-trave lin g data.

[0157] In a case where a density range between the lowest density and the highest density of leaning vehicles traveiing on a public road is divided into four density ranges, the referance-generation-leaning-vehicle-traveling data includes a larger amount of traveiing data of leaning vehicles traveiing on a public road in intermediate density ranges that are two density ranges except for a Iow density range with a lowest density and a high density range with a highest density range of the four density ranges than the amount of traveiing data of the leaning vehicles traveiing on the public road in the Iow density range and the high density range. The reference-generation-leaning-vehicletraveling data may include classification-related data for classifying at least one of a driver or a leaning vehicie. The reference-generaticn-leaning-vehicle-traveling data may also include leaning-vehicle-traveling data of a plurality of leaning vehicles in different categories.

[0158] The reference-generation-leaning-vehicle-traveling data includes, for exampie, leaning-vehicle-driving-input data for reference génération (reference-generation-leaningvëhicle-driving-inpui data] related to driving inpuis to leaning vehicles by different drivers, leaning-vehide-location data for reference génération (reference-generation-leaning5 vehicle-location data) related to traveling locations of leaning vehicles driven by different drivers and traveling on a public roads, leaning-vehicle-behavior data for reference génération (reference-generation-leaning-vehicle-behavior data) related to behaviors of leaning vehicles driven by different drivers and traveling on a plurality of public roads, and leaning-vehicle-traveling-environment data for reference génération (reference10 generation-leaning-vehicle-traveling-environment data) related to environments in which leaning vehicles travel.

[015S] The reference-generation-lêâning-vehicle-traveling data may include data other than the reference-generation-leaning-vehicle-driving-input data, the referencegenerationdeaning-vehicle-behavior data, the reference=generation-leaning-vehici®= 15 location data, and the reference-generation-leaning-vehicle-traveling-environment data.

The reference-generation-leaning-vehicle-traveling data may include one or more of the reference-generation-leaning-vehicle-driving-input data, the reference-generationleaning-vehicle-behavior data, the reference-generation-leaning-vehicle-location data, and the reference-generation-leaning-vehicle-traveling-environment data,

[0160] In the case of leaning vehicles driven by different drivers and traveling on a plurality of public roads, the leaning-vehicle-traveling data is reference-generationleaning-vehicle-traveling data, the leaning-vehicle-driving-input data is referencegeneration-leaning-vehicîe-driving-input data, the leaning-vehicle-behavior data is reference-generation-leaning-vehicle-behavior data, the leaning-vehide-location data is 25 reference-generation-leaning-vehidedocation data, and the leaning-vehicle-travelingenvironment data is reference-generation-leaning-vehicle-traveling-environment data, [0161] The reference-generation-leaning-vehicle-traveling data includes traveiingdensity-related data. The reference-generation-leaning-vehîcle-traveling data may include classification-related data.

[0162] The traveling-density-related data is considered in analyzing analysis-leaning' vehicie-traveling data to generate analysis data. Accordingly, it is possible to output analysis data spécifie to leaning vehicles that was previousSy diffieuît to output, such as skills of driving a leaning vehicle X in which various application scenes are taken into account. For exampie, it is possible to analyze skilis of an analysis target in driving a 35 leaning vehicle X more accurately in more details in an analysis using leaning-vehicletraveling data in a state where the density of leaning vehicles is low, that is, a state where flexibility in driving by a driver is high, for example. It is, for example, also possible to analyze a prédiction skiîl of an analysis target in predicting traveling environments such as movement of vehicles in the vicinity more accurately in more details in an analysis using leaning-vehicle-traveling data in a state where the density of leaning vehicles is about intermediate, thaï is, a state where flexibility in driving by the driver is restricted to some degree, for example.

[0163] The traveling-density-related data may be used to limit leaning-vehicletraveling-reference data described later to data showing similar densities of leaning vehicles in analyzing anaiysis-leaning-vehicle-traveling data to generate analysis data. With the use of traveling-density-related data described above, data to be processed can be limited in analyzing analysis-teaning-vehicîe-traveling data to generate analysis data so that a load on hardware resources can be thereby reduced.

[0164] The classification-related data may be used for generating analysis data associated with categories such as attributes (e.g., sex, âge, etc.) of a driver, a manufacturer, and a vehicle type, in analyzing analysis-leaning-vehicle-traveling data. With the use of this classification-related data, data to be processed can be limited in generating analysis data so that a load on hardware re source s can be thereby reduced.

[0165] The leaning-vehicle-travehng-reference data is used for analyzing the analysisleaning-vehicle-traveling data, The leaning-vehicle-traveling-reference data is used as, for example, a reference for classifying leaning-vehicîe-driving skills of a driver as an analysis target. The leaning-vehicle-traveling-reference data is, for example, generated based on the reference-generation-leaning-vehicle-traveling data and stored in the data memory 60.

[0166] Based on leaning-vehicle-traveling-reference data obtained by the leaningvehicle-traveüng-reference-dota acquirer 10, the analysis data acquirer 30 acquires analysis data obtained by analyzing analysis-leaning-vehicle-traveling data obtained by the analysis-leaning-vehicle-traveling-data acquirer 20. This analysis data may be analysis data of at least one of an analysis target or a leaning vehicle X classified by using the analysis-classification-related data.

[0167] The analysis data includes, for example, data related to driving skills of an analysis target in driving a leaning vehicle. The driving skills refer to skills related to driving of a driver in driving a leaning vehicle. The driving skills include not only skills of driving the leaning vehicle, but also a prédiction skil! conceming prédiction in driving the leaning vehicle. The analysis data includes, for example, data related to traveling of a leaning vehicle X. This data is, for example, data related to driving skills of an analysis target as a driver.

[0168] The output data generator 40 generates output data to be output, from the analysis data. For exampie, the output data generator 40 generates output data by using a plurality of sets of analysis data stored in the data memory 60. Accordingly, accurate output data can be generated. The output data generator 40 may generate analysis data as output data without any processing.

[0169] The data output section 50 outputs the output data generated by the output data generator 40 from the lean ing-vehicle-traveling-data-analysis device 1.

[0170] With the configuration described above, the leaning-vehicle-traveling-dataanalysis device 1 analyses leaning-vehicle-traveling data of a Ieaning vehicle X driven by an analysis target, based on leaning-vehicle-traveling-reference data, and outputs the analysis data as output data.

[0171] (Leaning-Vehicle-Traveling-Dâta-Analysis Method)

Next, with reference to FIG. 2, a ieaning-vehicle-traveling-data-analysis method conducted by the leaningwehide-traveiing-data-analysis device 1 having the foregoing configuration will be described. FIG. 2 is a flowchart depicting the leaning-vehicletraveling-data-anaiysis method.

[0172] First, the leaning-vehicle-traveiing-reference-data acquirer 10 acquires leaningvehicle-traveling-reference data generated based on reference-generation-leaningvehicle-traveling data (step SA1). The Ieaning-vehicle-traveling-reference data is generated based on reference-generation-leaning-vehicle-traveiing data, and is previousiy stored in the data memory 60.

[0173] in a case where a density range between the lowest density and the highest density of Ieaning vehicles traveling on a public road is divided into four density ranges, the reference-generation-leaning-vehicle-traveling data includes a larger amount of traveling data of Ieaning vehicles traveling on a public road in intermediate density ranges that are two density ranges except for a low density range with a lowest density and a high density range with a highest density of the four density ranges than the amount of traveling data of the Ieaning vehicles traveling on a public road in the low density range and the high density range. The reference-generation-leaning-vehicle-traveling data may include classification-related data for ciassifying ai least one of a driver or a Ieaning vehicle. The reference-generation-leaning-vehicle-traveling data may also include leaning-vehicle-traveling data of a plurality of ieaning vehicles in different categories.

[0174] Thereafter, the analysis4eaning-vehicle-traveling-data acquirer 20 acquires analysis-leaning-vehicle-traveling data that is traveling data of a Ieaning vehicle X driven by an analysis target and traveling on a public road (step SA2).

[0175] The analysis-leaning-vehicle-traveling data includes traveling-flexibility-related data for analysis (analysis-traveiing-flexibility-related data) related to traveling flexibility by an intension of an analysis target when the Ieaning vehicle X travels on the public road. The analysis-iëëning-vehicfe-traveiing data may include analysis-classification-reiated data for classifying at least one of the analysis target or the Ieaning vehicie X.

[0176] The analysis-leaning-vehicle-traveling data includes leaning-vehicle-drivinginput data for analysis (analysis-leaning-vehicîe-driving-input data) related to a driving input to a Ieaning vehicle by an analysis target, analysis-leaning-vehicie-location data related to a traveling location of the Ieaning vehicle X traveling on a public road, analysisieaning-vehicîe-behavior data related to a behavior of the Ieaning vehicle X traveling on the public road, and leaning-vehicle-traveling-environment data for analysis (analysisleaning-vehicle-traveling-environment data) related to traveling environments of the Ieaning vehicle X iraveiing on the public road.

[0177] The analysis-leaning-vehicle-traveling-data acquirer 20 includes, for example, an information acquirer that acquires information on an analysis target and a Ieaning vehicle X, and détection sensors including, for example, a gyro sensor and a GPS. The anaiysis-leaning-vehicle-traveling-data acquirer 20 acquires the anaiysis-ieaning-vehiclelocation data and the analysis-leaning-vehicle-behavior data from outputs of the détection sensors, for example. The analysis-leaning-vehicle-traveling-data acquirer 20 acquires analysis-cîassification-related data from data acquired by the information acquirer, for example. The analysis-traveling-flexibility-related data is acquired by using the analysisleaning-vehicle-location data obtained from outputs of the détection sensor and other data, for example.

[0178] Subsequently, the analysis data acquirer 30 analyses the analysis-leaningvehicle-traveiing data based on the leaning-vehicle-traveiing-reference data to thereby acquire analysis data (step SA3).

[0179] The analysis data includes, for example, data related to driving skills of an analysis target of a Ieaning vehicle traveling on a public road, The analysis data may be analysis data of at least one of a classified analysis target or a classified Ieaning vehicle X.

[0180] The output data generator 40 generates output data to be output, from the analysis data (step SA4). Then, the data output section 50 outputs the output data (step SA5). Subsequently, this flow is finished (end).

[0181] With the configuration described above, analysis data can be acquired by anaiyzing leaning-vehicle-traveling data of a Ieaning vehicle X driven by a driver as an analysis target and traveling on a public road.

[01821 Thus, as in the configuration described above, the use of the Ieaning-vehicle traveling data in which the density of leaning vehicles traveling on a public road is taken into account enables output of analysis data spécifie to leaning vehides that was previously difficult to output, such as skilis of driving a leaning vehicle in considération of various application scenes. For example, it is possible to analyze driving skilis of a driver in driving a leaning vehicle more accurately in more details in an analysis using leaning-vehicle-traveling data in a case where the density of leaning vehides is low, that is, a state where flexibility in driving by a driver is high, for example. It is, for example, also possible to analyze a prédiction skill of a driver in predicting traveling environments such as movement of vehides in the vicinity more accurately in more details in an analysis using leaning-vehicle-traveling data in a case where the density of leaning vehicles is about intermediate, that is, a state where flexibility in driving by the driver is restricted to some degree, for example.

[0183] In addition, since leaning-vehicle-traveling data is analyzed in considération of the density of leaning vehicles traveling on a public road, data to be processed can be limited, as compared to a case where ail the traveling data is analyzed without considération of this state. Accordingly, design flexibility of hardware resources can be enhanced with réduction of a load on hardware resources of the leaning-vehicle-travelingdata-analysis device 1.

[0184] In this manner, the number of types of data to be processed by the leaningvehicle-traveling-data-analysis device 1 can be reduced so that a load on hardware of the device can be thereby reduced. In addition, hardware resources necessary for the device can be reduced so that design flexibility of hardware resources of the device can be thereby enhanced.

[0185] Thus, it is possible to acquire analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility- of hardware resources.

[0186] This embodiment is an example of a leaning-vehicle-traveling-data-analysis method for analyzing leaning-vehicle-traveling data. The leaning-vehicle-traveling-dataanalysis method according to this embodiment includes the following steps.

[0187] In the leaning-vehicle-traveling-data-analysis method according to this embodiment, leaning-vehicle-traveling-reference data generated based on referencegeneration-leaning-vehicle-traveling data is acquired. in a case where a density range between the lowest density and the highest density of leaning vehicles traveling on a public road is divided into four density ranges, the reference-generation-leaning-vehicletraveling data includes a larger amount of traveling data of leaning vehicles traveling on a public road in intermediate density ranges that are two density ranges except for a low density range wiih a lowest density and a high density range with a highest density of the four density ranges than the amount of traveling data of the leaning vehicles traveling on the public road in the low density range and the high density range.

[0188] The reference-generation-leaning-vehicle-tnaveling data means leaning-vehicletraveling data by a plurality of drivera. The leaning vehicle is a vehicle that leans rightward when tuming to the right and leans leftward when turning to the left.

[0189] For example, the reference-generation-leaning-vehicle-traveling data may be acquired by various sensors mounted on the leaning vehicle. The reference-generationteaning-vehicle-traveling data may be acquired by various sensors mounted on the leaning vehicle such that the sensors can be easily attached or detached. The reference-generation-leaning-vehicle-traveling data may be acquired by various sensors temporanly mounted on the ieaning vehicle in order to collect data.

[0190] In the leaning-vehicle-traveling-data-analysis method, analysis-leaning-vehicletraveling data related to traveling data of a leaning vehicle X that is an analysis-targetleaning vehicle obtained when an analysis target drives the leaning vehicle X is acquired. [0191] The analysis-leaning-vehicle-traveling data means leaning-vehicle-traveling data of the leaning vehicle X driven by the analysis target. The analysis leaning vehicle means a leaning vehicle X driven by the analysis target as a target from which analysisleaning-vehicle-traveling data is acquired.

[0192] The analysis target may be included in the plurality of drivers. The analysis target may not be included in the plurality of drivers. The analysis-target-leaning vehicle may be included in leaning vehicles from which the reference-generation-leaning-vehicletraveling data is acquired. The analysis-targei-lêariing vehicle may not be included in leaning vehicles from which the reference-generation-leaning-vehicle-traveling data is acquired. The analysis-targeWeaning-vehide data may be included in the referencegeneration-leaning-vehicle-traveling data. The analysis-leaning-vehicle-traveling data may not be included in the reference-generation-leaning-vehicle-traveling data.

[0193] For example, the analysis-leaning-vehicle-traveling data may be acquired by various sensors mounted on the analysis-target-leaning vehicle. The analysis-leaningvehicie-traveling data may be acquired by various sensors mounted on the analysistarget-leaning vehicle such that the sensors can be easily attached or detached. The analysis-leaning-vehicle-traveling data may be acquired by various sensors temporanly mounted on the analysis-target-leaning vehicle in order to collect data.

[0194] The various sensors for collecting the analysis-leaning-vehicle-traveling data may hâve lower détection accuracy than various sensors for collecting the referencegeneration-leaning-vehicle-traveling data.

[0195] The various sensors for collecting the analysis-îeaning-vehicle-traveüng data may be the same as the various sensors for cotlecting the reference-generation-leaningvehicle-traveling data.

[0196] The number of types of data included in the anatysis-leaning-vehicle-traveling data may be smaller than the number of types of data included in the referencegeneration-leaning-vehicle-traveiîng data. The types of data included in the analysisleaning-vehicie-traveling data may be the same as the types of data included in the reference-generation-leaning-vehicie-traveiing data.

[0197] Based on the acquired leaning-vehicle-traveling-reference data, the leaningvehicle-traveling-data-analysis device 1 analyzes the acquired anaiysis-leaning-vehicletraveling data to thereby acquire analysis data.

[0198] The leaning-vehicle-îraveling-data-analysis device 1 generates output data to be output by using the analysis data.

[0199] The leaning-vehicle-traveiing-data-analysis device 1 outputs the output data.

[0200] In another aspect, the leaning-vehicle-traveling-data-analysis method preferably includes the following configurations. Trie reference-generation-leaning-vehicle-traveling data includes at least one of Ieaning-vehicle-driving-input data related to a driving input by the driver to a leaning vehicle, reference-generation-leaning-vehicle-location data related to a traveling location of the leaning vehicle traveling on a public road, or reference-generation-leaning-vehicle-behavior data reiated to a behavior of the leaning vehicle. The analysis-ieaning-vehicie-traveling data includes at least one of analysisleaning-vehicle-driving-input data related to a driving input by the analysis target to the analysis-target-leaning vehicle, analysis-leaning-vehiciê-location data related to a traveling location of the analysis-target-leaning vehicie traveling on a public road, or analysis-leaning-vehicle-behaviordata related to a behaviorofthe analysis-target-leaning vehicle.

[0201] Leaning-vehicle-driving-input data ïs data related to a driving input by a driver. In a leaning vehicle, there are a large number of types of operation by a driver and flexibiiity in sélection by the driverduring driving is high. Thus, driving skills ofthe driver, for example, tend to be strongly reflected on the leaning-vehicle-driving-input data.

[0202] The leaning-vehicle-behavior data strongly reflects a resuit of a driving input by the driver in which driving skilis of the driver is, for example, strongly reflected. Thus, the leaning-vehicle-behavior data also tends to strongly reflect driving skilis of the driver, for example.

[0203] The leaning-vehicle-location data strongly reflects a resuit of a driving input by the driver in which driving skills ofthe driver is, for example, strongly reflected. Thus, the leaning-vehide-location data also tends to strongly refiect driving skiils of the driver, for exampie.

[0204] Accordingly, leaning-vehide-traveling data used in generating analysis data includes data more strongly reflecting driving skiils of an analysis target as a driver, for example.

[0205] In another aspect, the leaning-vehicle-traveling-data-analysis method preferably includes the following configurations. The reference-generation-leaning-vehicle-traveling data further includes reference-generation-leaning-vehide-traveling-environment data related to traveling environments in which the leaning vehicle travels. The analysisleaning-vehide-iraveling data further includes analysis-leaning-vehicle-traveiingenvironment data related to traveling environments in which the analysis-target-leaning vehide travels.

[0206] The leaning-vehicle-traveling-environment data includes map data, for example. The map data may be assocîated with, for example, information on road situations, information on road traffic environments such as signais and facilities, and régulation information on traveling on roads, The leaning-vehicle-traveling-environment data can be used for analyzing leaning-vehide-traveling data together with the leaning-vehidebehavior data and the leaning-vehide-location data.

[0207] With this configuration, by using the leaning-vehicle-traveling-reference data, the analysis-leaning-vehicle-traveling data obtained when an analysis-target-leaning vehicle driven by an analysis target travels on a public road can be more accurately analyzed. In addition, the use of the leaning-vehicle-traveling data in which the types of data are specified can reduce the number of types of data to be processed by the device for analyzing leaning-vehide-traveling data and can further reduce a load on hardware of that design flexibility of hardware resources of the device can be thereby further enhanced.

[0208] It is therefore possible to achieve a leaning-vehicle-traveling-data-analysis method capable of outputting analysis data spécifie to a leaning vehide based on traveling data of the leaning vehicle with further enhanced design flexibility of hardware resources.

[0203] In another aspect, the ieaning-vehicle-traveling-data-analysis method preferably includes the following configurations. The reference-generation-leaning-vehicle-traveling data includes data in a state where options of détermination by the driver are limited by vehicles around the leaning vehide but some options are left. The analysis-leaningvehide-traveiing data indudes data in a state where options of détermination by an analysis target are limited by vehides around the anaîysis-target-leaning vehicle but some options are left.

[0210] For example, the state where options of détermination by a driver are limited by vehicles around a ieaning vehide but some options are left may be determined from leaning-vehicle-location data and leaning-vehicle-1 rave lin g-environ ment data, More specifically, the state may be estimated based on date, time, and location where the leaning vehide travels, Leaning-vehicle-traveling data for a leaning vehicle traveling in an urban distinct indudes data in the state where options of détermination by the driver are limited by vehides around the leaning vehicle but some options are left, The state may be estimated by acquiring data on an actual situation around the leaning vehicle, A plurality of methods for estimating a state may be combined.

[0211] The state where options of détermination by a driver are limited by vehides around a leaning vehide but some options are left refers to a traveling state of the leaning vehicle where options are limited but some options are left when a driver of the leaning vehicle détermines driving among a group of vehides including the leaning vehicle, [0212] In another aspect, the leaning-vehicle-traveling-data-analysis method preferably includes the following configuration. The reference-generation-leaningvehicîe-traveling data indudes data in a state where at least one of a passenger or an object is mounted. The analysis-leaning-vehicle-traveling data includes data in a state where at least one of a passenger or an object is mounted.

[0213] For example, it may be determined from various sensors whether at least one of a passenger or an object is mounted or not The détermination may be made based on a déclaration by a driver

[0214] In another aspect, the îeaning-vehicie-traveling-data-analysis method preferably includes the following configurations. In the leanrng-vehide-traveling-data-analysis method, the acquired analysis data is stored. In the leaning-vehicie-traveling-daÏaanalysis method, the output data is generated by using the stored plurality of sets of analysis data.

[0215] The term “storing” includes not only storing for the storage but also temporarily storing of results. For example, for storing, analysis data stored in the storage and analysis data stored in analysis data may be used. These sets of data may be used to update analysis data stored in the storage. These sets of data may be used to generate new analysis data. These sets of data may be used to perform statistical processing. These sets of data may be used to update analysis data stored in the storage.

[0216] The use of the plurality of sets of analysis data described above enables, for exampîe, statistical processing and more accurate analysis of analysis-leaning-vehicie traveling data. More specifically, leaning-vehicle-traveling data of a leaning vehicle X driven by an analysis target can be more accurately analyzed by using old analysis data and new analysis data.

[0217] This embodiment is an example of a leaning-vehicle-traveiing-data-anaiysis device for analyzing leaning-vehicle-traveling data. The leaning-vehicle-traveling-dataanalysis device according to this embodiment includes the following configurations.

[0218] The leaning-vehicle-traveling-data-analysis device according to this embodiment is a leaning-vehicle-traveling-data-analysis device for analyzing leaningvehicle-traveling data of a leaning vehicle that îeans rightward when tuming to the right and Ieans leftward when tuming to the left.

[0219] The lean ing-vehicie-traveling-data-analy sis device 1 according to this embodiment includes: the leaning-vehicie-traveling-reference-data acquirer 10 configured to acquire leaning-vehicle-traveling-reference data that is traveling reference data of a leaning vehicle that Ieans rightward when tuming to the right and Ieans leftward when tuming to the left; the analysis-leaning-vehicle-traveling-data acquirer 20 configured to acquire analysis-leanîng-vehicîe-traveling data that is traveling data of an analysis-targetleaning vehicle that is a leaning vehicle as an analysis target; the analysis data acquirer 30 configured to acquire analysis data of at least one of an analysis target as a driver to be analyzed or the analysis-target-leaning vehicle by analyzing the acquired analysisleaning-vehicle-traveling data based on the acquired leaning-vehicle-traveling-reference data; the output data generator 40 configured to output output data for output by using the analysis data; and the data output section 50 configured to output the output data.

[0220] In a case where a density range between the lowest density and the highest density of leaning vehicles traveling on a public road is divided into four density ranges, the leaning-vehicle-traveling-reference data is generated based on reference-generationleaning-vehicle-traveling data including a larger amount of traveling data of leaning vehicles traveling on the public road in intermediate density ranges that are two density ranges except for a low density range with a lowest density and a high density range with a highest density of the four density ranges than traveling data of leaning vehicles traveiing on the public road in the low density range and the high density range of the four density ranges.

[0221] The analysis-leaning-vehicie-traveling data includes anaiysis-traveling-densityrelated data related to the density of leaning vehicles when the analysis-target-leaning vehicle is driven by the analysis target and travels on a public road.

[0222] The leaning-vehicle-traveling-data-analysis device 1 analyzes leaning-vehicletraveling data ofthe analysis-target-leaning vehicle.

[0223] In another aspect, the leaning-vehicle-traveling-data-analysis device 1 preferably includes the following configuration. The reference-generation-leaningvehicie-traveling data inciudes ciassification-related data for ciassifying at least one of a driver or a leaning vehicle. The an alysis-leaning-vehicle-traveling data includes analysis-classifîcation-related data for ciassifying at least one of an analysis target or an analysis-target-leaning vehicie. The analysis data acquirer analyzes the analysisleaning-vehicle-traveling data based on the leaning-vehicie-traveling-reference data generated based on the reference-generation-leaning-vehicle-traveiing data, to thereby acquire analysis data of at least one of the analysis target or the analysis-target-leaning vehicle ciassified by using the analysis-classifrcation-related data.

[0224] In another aspect, the leaning-vehicle-traveiing-data-analysîs device 1 preferably includes the following configuration. The analysis data is obtained by using an analysis resuit of synchronism of the analysis-leaning-vehicle-traveling data with respect to the leaning-vehicle-traveling-reference data including data whose density is similar to the analysis-traveling-density-related data, in the leaning-vehicle-travelingreference data.

[0225] In another aspect, the leaning-vehicle-traveling-data-analysis device 1 preferably includes the following configuration. The analysis data includes data related to an évaluation resuit of a driving prédiction skill when the analysis target drives a leaning vehicle X traveling on a public road.

[0226] In another aspect, the leaning-vehicie-traveling-data-analysis device 1 preferably includes the following configuration. The reference-generation-leaningvehicle-traveling data includes ai least one of reference-gene ration-ieaning-vehidedriving-input data related to a driving input by the driver to the leaning vehicle, referencegeneration-leaning-vehicle-location data related to a traveling location of the leaning vehicle traveiing on a public road, or reference-generation-leaning-vehicle-behavior data related to a behavior of the leaning vehicle. The analysis-leaning-vehicle-traveling data includes at least one of analysis-leaning-vehicle-driving-input data related to a driving input by the analysis target to a leaning vehicle X, analysis-leaning-vehicle-location data related to a traveling location of the leaning vehicle X traveling on a public road, or analysîs-leaning-vehicie-behavior data related to a behavior of the leaning vehicie X.

[0227] în another aspect, the ieaning-vehicïë-Ïravëîing-data-analysis device 1 preferably includes the following configuration. The reference-generation-leaningvehicie-traveling data further inciudes reference-generation-leaning-vehicle-travelingenvironment data related to traveling environments in which the leaning vehicle travels. The analysis-leaning-vehicle-traveling data further includes anaiysis-leaning-vehicle traveling-environment data related to traveling environments in which the leaning vehicle travels.

[0228] In another aspect, the leaning-vehicle-traveiing-data-analysis device 1 preferably includes the following configuration. The reference-generation-leaningvehicle-traveling data includes data in a State where options of détermination by the driver are limited by vehicles around the leaning vehicle but some options are teft. The analysis-leaning-vehicîe-traveling data includes data in a State where options of détermination by an analysis target are limited by vehicles around the analysis-targetleaning vehicle but some options are left.

[0229] In another aspect, the leaning-vehicle-traveling-data-analysis device 1 preferably includes the following configuration. The reference-generation-leaningvehicïe-traveïing data includes data in a state where at least one of a passenger or an object is mounted. The analysis-leaning-vehicle-traveling data includes data in a state where at least one of a passenger or an object is mounted.

[0230] In another aspect, the leaning-vehicle-traveling-data-analysis device 1 preferably includes the following configuration. The leaning-vehicle-travelîng-dataanalysis device 1 includes the data memory 60 configured to store the acquired analysis data. The output data generator 40 generates the output data by using a plurality of sets of analysis data stored in the data memory 60.

[0231] In another aspect, the leaning-vehicle-traveling-data-analysis device 1 preferably includes the following configuration. The output data is generated as analysis data for data processing (data-processing-analysis data) to be used in further data processing.

[0232] <Second Embodiment>

FIG. 3 illustrâtes an example of a leaning-vehicle’traveiing-data-analysis device 100. The leaning-vehicle-traveling-data-analysis device 100 analyzes synchronism between a leaning vehicle X driven by an analysis target and other leaning vehicles Y traveling around the leaning vehicle X to thereby evaluate a prédiction skili of the analysis target in driving and outputs a resuit ofthe évaluation as analysis data.

[0233] Specificalîy, the leaning-vehicle-traveling-data-analysis device 100 includes a group behavior calculator 110, an analysis-leaning-vehicle-traveling-data acquirer 120, a synchronism analyzer 130, a prédiction skili evaluator 140, and an évaluation output section 150.

[0234] The ana!ysis4eaning=vehicle-trave!ing-data acquirer 120 acquires analysisieaning-vehicie-traveiing data that is traveling data of the îeaning vehicle X driven by the analysis target. The analysis-leaning-vehiçle-traveling data includes analysis-leaning vehicle-location data and analysis-leaning-vehicie-behavior data of the leaning vehide X. [0235] The group behavior calcuiator 110 acquires leaning vehide data for reference génération (reference-generation-leaning-vehide data) in a group including the ieaning vehide X and other leaning vehicles Y (hereinafter referred to as a group). The reference-generation-leaning-vehicle data includes leaning-vehicle-location data and leaning-vehicle-behavior data of a plurality of leaning vehicles. Whether a target vehide is a leaning vehide belonging to a group or not is determined by acquiring leaningvehicle-location data of each of the leaning vehide X and the other leaning vehicles Y and determining whether the other leaning vehicles Y are iocated within a predetermined range from the leaning vehicle X or not. Leaning vehicles belonging to the same group trave! on a public road in similar densifies, that is, the leaning vehicles travei with similar traveling flexibility.

[0236] The group behavior calcuiator 110 obtains traveling data related to a group behavior by using the acquired reference-generation-leaning-vehicle-traveling data. In this embodiment, the traveling data related to the group behavior is a mean value of leaning-vehicle-traveiing data of a plurality of leaning vehicles constituting a group. The traveling data related to the group behavior corresponds to leaning-vehide-travelingreference data.

[0237] The synchronism anaiyzer 130 performs a synchronism analysis by using the anaiysis-leaning-vehide-traveling data acquired by the analysis-leaning-vehicle-travelingdata acquirer 120 and traveling data related to a group behavior obtained by the group behavior calcuiator 110.

[0238] The synchronism refers to the degree of déviation of analysis-leaning-vehicletraveling data of the leaning vehicle X driven by the analysis target from a group behavior including leaning-vehicle-traveiing data of a plurality of leaning vehicles including the leaning vehicle X driven by the analysis target. As the degree of déviation decreases, synchronism of the analysis target increases. The group behavior may include, for example, data of a mean value or a behavior frequency of the plurality of leaning vehicles obtained from leaning-vehicle-traveiing data of the plurality of leaning vehicles. That is, the degree of déviation may be the degree of déviation of a behavior frequency obtained from leaning-vehicle-traveiing data of the leaning vehicle X driven by the analysis target from a group behavior frequency obtained by using a mean value of leaning-vehicletraveiing data ofthe plurality of leaning vehicles.

[0239] In this embodiment. a resuît of the synchronism analysis output from the synchronism analyzer 130 corresponds to analysis data in the first embodiment,

[0240] The prédiction skill evaluator 140 évaluâtes a driving prédiction skill conceming prédiction when the analysis target drives the leaning vehicie X on a public road by using a resuit of the synchronism analysis of the synchronism analyzer 130. That is, the prédiction skill evaluator 140 classifies a driving prédiction skill of the analysis target based on the resuit of the synchronism analysis. The évaluation resuit of the driving prédiction skill obtained by the prédiction skill evaiuator 140 may be a resuit obtained by classifying an analysis resuit of the synchronism using a threshold or may be a numerical value obtained by the analysis resuit of synchronism or an évaluation value corresponding to the numerical value.

[0241] The évaluation output section 150 outputs the évaluation resuit of driving skill prédiction obtained by the prédiction skill evaluator 140 as output data. The output data may be output from the leaning-vehicle-traveling-data-analysis device 100 without any processing. The ouipui data may be stored in an uniilustrated memory of the leaningvehicle-traveling -data-analysis device 100 and then used in computation of output data in the évaluation output section 150.

[0242] The analysis data may be obtained from data except for the analysis resuit of the synchronism described above. The analysis data may include an évaluation resuit of a prédiction skill obtained from data except for the analysis resuit of the synchronism described above.

[0243] In the leaning-vehicle-traveling-data-analysis device 100 of this embodiment, the group behavior calculator 110 corresponds to the leaning-vehicle-traveling-referencedata acquirer 10 of the leaning-vehicle-travehng-data-analysis device 1 of the embodiment, the analysis-leaning-vehicle-traveling-data acquirer 120 corresponds to the analysis-leaning-vehicle-travelîng-dgta acquirer 20 of the leaning-vehicle-traveling-dataanalysis device 1 of the first embodiment, the synchronism analyzer 130 corresponds to the analysis data acquirer 30 of the leaning-vehicle-traveling-data-anaiysis device 1 of the first embodiment, the prédiction skill evaluator 140 corresponds to the output data generator 40 of the leaning-vehicle-traveling-data-analysis device 1 of the first embodiment, and the évaluation output section 150 corresponds to the data output section 50 ofthe leaning-vehicle-traveling-data-analysis device 1 ofthe first embodiment. [0244] In this embodiment, analysis data ts obtained by using an analysis resuit of synchronism of analysis-leaning-vehicle-traveüng data with respect to leaning-vehicletraveling-reference data including data having flexibility similar to that of analysisflexibility-related data, in leaning-vehicle-traveling-reference data.

[0245] With this configuration, for exampie, while a driver as an analysis target drives an analysis-target-leaning vehicie in a crowded state with other leaning vehicles, synchronism between traveiing data of the analysis-target-leaning vehicie and traveiing data of the other leaning vehicles is evaluated so that analysis data spécifie to the leaning vehicle can be obtained in at least one of the analysis target or the analysis-targetleaning vehicle.

[0246] li is therefore possible to provide a lean ing-vehicle-traveling-data-analy sis 5 method capable of outputting analysis data spécifie to a leaning vehicle based on traveling data of the leaning vehicle with enhanced design flexibility of hardware resources of a device for analyzing leaning-vehicle-traveling data by reducing a load on hardware resources ofthe device.

[0247] This embodiment is an example of a leaning-vehicle-traveling-data-analysis 10 method for analyzing leaning-vehicle-traveling data. The leaning-vehicie-traveling-dataanalysis method according to this embodiment includes the following steps.

[0248] In the iêaning-vêhicie-iravëïing-dâta-analysis method according to this embodiment, the analysis data is obtained by using an analysis resuit of synchronism of the analysis-leaning-vehicle-traveling data with respect to leaning-vehicle-fraveling15 reference data including data having flexibility similar to that of the analysis-flexibilityreiated data in the leaning-vehicle-traveling-reference data.

[0249] The similar traveling flexibility includes not only a case where traveling flexibiiities completely coïncide with each other but also a case where analysis data obtained by analyzing leaning-vehicle-traveling data is within a predetermined range.

[0250] In another aspect, the îeaning-vehicle-traveling-data-anaîysis method preferably includes the following configurations. The analysis data includes data related to an évaluation resuit of a driving prédiction skiîl when an analysis target drives an analysistarget-leaning vehicle traveling on a public road.

[0251] In the case of driving a leaning vehicle, a driving prédiction skill of a driver is 25 more important than in the case of driving a non-leaning vehicle. By including data related to an évaluation resuit of a driving prédiction skill in the analysis data, analysis data spécifie to a leaning vehicle can be obtained.

[0252] «Third Embodiment>

FIG. 4 illustrâtes an example of a leaning-vehicle-traveiing-data-analysîs 30 system 200 including the leaning-vehicle-traveling-data-analysis device 1 of the first embodiment. In the following description, components similar to those of the first embodiment are denoted by the same reference characters and will not be described again, and only components different from those of the first embodiment will be described.

[0253] The leaning-vehicle-traveling-data-analysis System 200 includes the leaningvehicle-traveling-data-analysis device 1 and a leaning-vehicle-traveling-reference data génération device 201 configured to generate leaning-vehicle-traveling-reference data.

[0254] The leaning-vehrcie-traveling-refërence data génération device 201 is, for exemple, a data-processing-computation device capable of commun icating with the leaning-vehicle-traveling-data-analysis device 1 and including a processor. In the case where the leaning-vehicîe-traveling-data-analysis device 1 is the data-processingcomputation device including the processor, the leaning-vehicle-traveling-reference data génération device 201 may be the same data-processing-computation device as the leaning-vehicle-traveling-data-analysis device 1.

[0255] The leaning-vehicle-tra vélin g-reference data génération device 201 acquires leaning-vehicle-traveling data and ciassification-reîated data, and based on referencegeneration-teaning-vehicle-traveling data including these data units, generates leaningvehiclë-traveling-rêferênce data.

[0256] Specifically, the leaning-vehicle-traveling-reference data génération device 201 includes a data memory 211 and a leaning-vehicle-traveling-reference-data generator 212. Although not specifically shown. the leaning-vehicle-traveling-reference data génération device 201 includes an acquirer configured to acquire leaning-vehicietraveling data and classification-related data. Although not specifically shown, the leaning-vehicle-traveling-reference data génération device 201 includes an output section configured to output the generated leaning-vehicle-traveling-referance data.

[0257] The data memory 211 stores reference-generation-leaning-vehicle-traveling data and ieaning-vehicle-traveling-referance data. Specifically, the data memory 211 stores leaning-vehicle-traveling data and reference-generation-îeaning-vehicle-traveling data including classification-related data, indîvîdually obtained when a plurality of drivers drive Ieaning vehicles Y. The data memory 211 also stores leaning-vehicle-travelingreference data generated by a leaning-vehicle-traveling-reference-data generator 212 described later.

[0258] The leaning-vehicle-traveling data includes, for example, Ieaning-vehicîedriving-input data of the Ieaning vehicles Y, leaning-vehicle-behavior data of the Ieaning vehicles Y, leaning-vehicle-location data of the ieaning vehicles Y, and leaning-vehicietraveling-environment data of the Ieaning vehicles Y.

[0259] The leaning-vehicle-traveling-reference-data generator 212 generates leaningvehicle-traveling-reference data based on reference-gene ration-leaning-vehicle-traveling data stored in the data memory 211. The leaning-vehicle-traveling-reference data generated by the leaning-vehicle-traveling-reference-data generator 212 is stored in the data memory 211.

[0260] The leaning-vehicle-traveling-refe rance data stored in the data memory 211 is used when the ieaning-vehicie-traveling-data-analysÎs device 1 analyzes leaning-vehicletraveling data (analysis-leaning-vehicle-traveling data) of the leaning vehicle X (analysis leaning vehicle). In the leaning-venicie-traveling-daia-analysis device 1, the method for analyzing leaning-vehicle-traveling data is similar to that of the first embodiment, and thus, the detailed description will be omitted.

[0261] That is, the leaning-vehicle-traveling-data-analysis device 1 analyzes leaningvehicle-traveling data of the leaning vehicle X based on the leaning-vehicle-travelingreference data to thereby acquire analysis data of at least one of the classified analysis target or the classified leaning vehicle X, and outputs output data generated from the analysis data. The configuration of the leaning-vehicle-traveling-data-analysis device 1 is similar to that of the first embodiment, and thus, the leaning-vehicle-traveling-dataanaiysîs device 1 will not be described specifically. Leaning-vehicle-traveling data may be analyzed in a manner similar to the leaning-vehide-traveling-data-analysis device 100 of the second embodiment.

[0262] The output data output from the lean ing-vehicle-traveling-data-analy sis device 1 may be input to, for example, a data processing device 202. !n this case, the output data is generated as data for data processing to be used for data processing by the data processing device 202 in the leaning-vehicle-traveling-data-analysis device 1.

[0263] The data processing device 202 may be a device that performs data processing related to insurance, markets, products, services, environments, or customers used in businesses of sharing of leaning vehicles, renting of leaning vehicles, leasing of leaning vehicles, vehicle insurance of leaning vehicles, and so forth. In a case where the leaning-vehicle-traveling-data-analysis device 1 is a data-processing-computation device, the data processing device 202 may be the same device as the leaning-vehicle-traveiingdata-analysis device 1. The data processing device 202 may be the same dataprocessing-computation device as the leaning-vehicle-traveling-reference data génération device 201.

[0264] The data processing device 202 includes, for example, an output data acquirer 221, a first data acquirer 222, a second data generator 223, a second-data-output section 224, and a data memory 225.

[0265] The output data acquirer 221 acquires the output data output from the leaningvehicle-traveling-data-analysis device 1.

[0266] The first data acquirer 222 acquires first data different from the output data. The first data is data as a data processing target in the data processing device 202. The first data may be data related to insurance, markets, products, services, environments, or customers used in businesses of sharing of leaning vehicles, renting of leaning vehicles, leasing of Ieaning vehicles, vehicle insurance of Ieaning vehicles, and so forth. The first data is stored in the data memory 225.

[0267] The second data generator 223 generates second data different from the output data and the first data, by using the output data and the first data. In a manner similar to the first data, the second data is data related to insurance, markets, products, services, environments, or customers used in businesses of sharing of Ieaning vehicles, renting of ieaning vehicles, leasing of Ieaning vehicles, vehicle insurance of Ieaning vehicles, and so forth.

[0268] The second-data-output section 224 outputs the second data generated by the second data generator 223.

[0269] (Data Processing Method Using Analysis Data)

Next, a data processing method that performs data processing by using output data by the data processing device 202 having the configuration described above will be described with reference to the flowchart shown in FIG. 5. FIG. 5 is a flowchart depicting an operation of data processing by the data processing device 202.

[0270] As shown in FIG, 5, first, the output data acquirer 221 of the data processing device 202 acquires output data output from the îeaning-vehicle-traveling-data-analysis device 1 (step SB1).

[0271] Next, the first data acquirer222 ofthe data processing device 202 acquires first data stored in the data memory 225 (step SB2). The first data is data different from the output data.

[0272] Thereafter, the second data generator 223 of the data processing device 202 generates second data by using the acquired output data and the acquired first data (step SB3). The second data is data different from the output data and the first data.

[0273] Subsequently, the second-data-output section 224 of the data processing device 202 outputs the generated second data (step SB4),

[0274] In the manner described above, the output data output from the leaning-vehicletraveling-data-analysis device 1 can be used in computing a crédit risk or a crédit score by the data processing device in the fields of, for exampie, sharing of Ieaning vehicles, renting of Ieaning vehicles, leasing of Ieaning vehicles, and vehicle insurance of Ieaning vehicles. That is, analysis data obtained by analyzing leaning-vehicle-traveling data can be used for computation by the data processing device in the fields of, for example, sharing of Ieaning vehicles, renting of Ieaning vehicles, leasing of Ieaning vehicles, and vehicle Insurance of Ieaning vehicles.

[0275] Specifically, in the fields of, for example, sharing of Ieaning vehicles, renting of Ieaning vehicles, leasing of Ieaning vehicles, and vehicle insurance of Ieaning vehicles, the data processing device can acquire output data, and by using the acquired output data, can output a crédit risk ora crédit score through computation.

[0276] in the fieîds of, for example, sharing of ieaning vehicles, renting of leaning vehicles, leasing of leaning vehicles, and vehicle insurance of leaning vehicles, the data processing method may include the step of acquiring output data output from the leaningvehicle-traveling -data-anaiysis device 1, and the step of outputting crédit risk data related to a crédit risk or crédit score data related to a crédit score by using the acquired output data.

[0277] In the fields of, for example, sharing of leaning vehicles, renting of leaning vehicles, leasing of leaning vehicles, and vehicle insurance of leaning vehicles, the data processing device may include an output data acquirer configured to acquire output data output form the ieaning-vehicié-travei in g-data-anaiysis device 1, and either a credii-riskoutput section configured to output crédit risk data related to a crédit risk or a creditscore-output section configured to output crédit score data related to a crédit score by using the acquired output data.

[0278] In the data processing method and the data processing device described above, in a case where the output crédit risk is low or a case where the output crédit score is high, it may be configured such that an analysis target can easily lent a leaning vehicle, or if the analysis target lends a ieaning vehicle, a fee is préférantiaîîy treated, or the analysis target receives a preferential insurance rate, for example.

[0279] The leaning-vehicle-traveling-data-analysis method in each embodiment described above is an example of a leaning-vehicle-traveiing-data-analysis method for analyzing leanfng-vehîcie-traveiing data of an analysis target.

[0280] The leaning-vehicle-traveling-data-analysis method according to the présent teaching preferably includes the following configurations. The output data is generated as data for data processing to be used in further data processing.

[0281] Examples of the further data processing include data processing related to insurance, markets, products, services, environments, or customers used in businesses of sharing of leaning vehicles, renting of leaning vehicles, leasing of leaning vehicles, vehicle insurance of leaning vehicles, and so forth.

[0282] In another aspect, output data output in the leaning-ve hicle-travelin g-dataanalysis method according to the présent teaching is preferably used for a data processing method using analysis data described below. In this data processing method, the output data that has been output is acquired. In the data processing method, first data different from the output data is acquired. In the data processing method, the second data different from the output data and the acquired first data is generated by using the output data and the acquired first data. In the data processing method, the generated second data is output.

[0283] The data processing method may be any data processing method as long as the data processing method uses analysis data obtained by analyzing leaning-vehicletraveling data. For example, the first data and the second data may be data related to insurance, markets, products, services, environments, or customers used in businesses of sharing of leaning vehicles, renting of leaning vehicles, leasing of leaning vehicles, vehicle insurance of leaning vehicles, and so forth.

[0284] With the configuration of this embodiment, the ieaning-vehicle-traveling-dataanalysis device 1 and the leaning-vehicle-traveiing-data-analysis method can acquire analysis data capable of being used in the data processing device 202. As described in the first embodiment, by obtaining the analysis data by analyzing leaning-vehicletraveling data, the number of types of data to be processed by the system can be reduced so that a load on hardware of the leaning-vehicle-traveiing-data-analysis device 1 can be thereby reduced.

[0285] As a resuit, analysis data usable in a data processing device can be acquired with enhanced design flexibility of hardware resources.

[0286] In each of the embodiments described above, leaning-vehicie-travelingreference data is generated by using leaning-vehicle-traveling data. Altematively, leaning-vehicle-traveling-reference data may be generated by using not only leaningvehicle-traveling data but also data except for the leaning-vehicle-traveling data.

[0287] in each of the embodiments, leaning-vehicle-traveling data is acquired as analysis-leansng-vehicle-traveîing data, and based on leaning-vehicle-traveling-reference data, the analysis-leaning-vehicle-traveling data is analyzed to thereby acquire analysis data. Altematively, analysis data may be acquired by acquiring data other than the leaning-vehicle-traveling data and analyzing the data and the leaning-vehicle-traveling data.

[0288] The output data combined with the data other than the leaning-vehicle-traveling data may be used.

[0289] As described above, various types of data described in each of the embodiments may be combined with data except for the leaning-vehicle-traveling data.

INDUSTRIAL APPLICABILITE

[0290] The présent teaching is applicable to a leaning-vehicie-traveling-data-analysis method and a leaning-vehicle-ïfaveling-data-analysis device for analyzing leaningvehicle-traveling data of an analysis target, and also applicable to a data processing method using analysis data and a data processing device using analysis data obtained by the method and the device.

Reference Signs List

[0291] 1, 100 ieaning-vehicle-traveiing-data-analysis device leaning-vehicîë-trâvëiing-reference-data acquirer , 120 analysis-leaning-vehicle-traveling-data acquirer analysis data acquirer output data generator data output section

60, 211 data memory

110 group behavior calculator

130 synchronisai analyzer

140 prédiction skill evaluator

150 évaluation output section

200 îeaning-vehicle-traveling-data-analysis system

201 ieaning-vehicle-traveling-reference data génération device

202 data processing device

212 lean in g-vehicle-traveling-reference-data generator

221 output data acquirer

222 first data acquirer

223 second data generator

224 second-data-output section

X leaning vehicle (analysis-target-leaning vehicle)

Y leaning vehicle

P four-wheeled vehicle

L lane boundary

Claims (19)

1. A ieaning-vehicle-traveling-daîa-analysis method comprising:

a leaning-vehicie-traveling-reference-data-acquiring step of acquiring ieaning-

5 vehicle-traveling-reference data, the leanîng-vehicle-traveling-reference data being traveling reference data of a leaning vehicle that leans rightward when tuming to the right and leans leftward when tuming to the left;

an analysis-ieaning-vehicle-traveling-data-acquiring step of acquiring analysisleaning-vehicle-traveling data, the analysis-leaning-vehicle-traveling data being traveling

10 data of an analysis-target-leaning vehicle that is a leaning vehicle as an analysis target: an analysis-data-acquiring step of analyzing the acquired analysis-leaningvehicle-traveling data based on the acquired îeâning-vehicie-travêiing-reference data, thereby acquiring analysis data of at least one of an analysis target that is a driver to be analyzed or the analysis-target-leaning vehicle;

15 an output-data-generating step of generating output data to be output, by using the analysis data; and an output step of outputting the output data, wherein in a case where a density range between a lowest density and a highest density of leaning vehicles traveling on a public road is divided into four density ranges, 20 the leaning-vehicle-traveling-reference data is generated based on referencegeneration-leaning-vehicle-traveling data including a larger amount of traveling data of leaning vehicles traveling on the public road in intermediate density ranges that are two density ranges except for a low density range with a lowest density and a high density range with a highest density of the four density ranges than traveling data of leaning 25 vehicles traveling on the public road in the low density range and the high density range of the four density ranges, the analysis-ieaning-vehicle-traveling data includes analysis-traveling-densityrelated data related to the density of leaning vehicles when the analysis-target-leaning vehicle is driven by the analysis target and travels on a public road, and

30 leaning-vehicle-traveling data of the analysis-target-leaning vehicle is analyzed.

2. The leaning-vehicle-traveling-data-analysis method according to claim 1, wherein

35 the reference-generation-leaning-vehicîe-traveÏing data includes classificationrelated data for classifying at least one of a driver or a leaning vehicle, the analysis-leaning-vehîcle-traveling data includes analysis-classificationrelated data for classifÿing at least one of the analysis target or the anaîysis-targetleaning vehicle, in the analysis-data-acquiring step, the analysis-leaning-vehicle-traveling data is analyzed based on the leaning-vehide-traveling-reference data generated based on the reference-gene ration-leaning-vehide-travel in g data, to thereby acquire analysis data of at least one of the analysis target or the anaîysis-target-leaning vehicle classified by using the analysis-classification-related data.

3. The leaning-vehicle-traveling-data-analysis method according to daim 1 or 2, wherein the analysis data is obtained by using an anâïysis resuit of synchronism of the analysis-ieaning-vehicle-traveling data with respect to leaning-vehicle-travelingreference data including data whose density is similar to a density of the anafysistraveüng-density-reiated data, in the leaning-vehîcle-traveling-referen ce data.

4. The leaning-vehide-traveling-data-analysis method according to any one of claims 1 to 3, wherein the analysis data includes data related to an évaluation resuit of a driving prédiction skill when the analysis target drives the anaîysis-target-leaning vehicle traveling on a public road.

5. The leaning-vehicle-traveling-data-analysis method according to any one of claims 1 to 4, wherein the reference-generation-leaning-vehide-travelîng data includes at least one of reference-generation-leaning-vehicle-driving-input data related to a driving input by the driver to the leaning vehicle, reference-generation-leaning-vehicle-location data related to a traveling location of the leaning vënicië traveling on a public road, or referencegeneration-leaning-vehicle-behavior data related to a behavior of the leaning vehicle, and the analysis-leaning-vehicle-traveling data includes at least one of anaiysisleaning-vehicie-driving-input data related to a driving input by the analysis target to the anaîysis-target-leaning vehicle, analysis-leaning-vehicle-location data related to a traveling location of the anaîysis-target-leaning vehicle traveling on a public road, or analysis-leaning-vehicle-behavior data related to a behavior of the anaîysis-targetleaning vehicle.

6. The leaning-vehicle-traveling-data-analysis method according to any one of daims 1 to 5, wherein the reference-generation-leaning-vehicle-traveling data further includes reference-generation-leaning-vehicle-traveling-environment data related to traveling environments in which the leaning vehicle traveis, and the analysis-leaning-vehicle-iraveling data further includes analysis-leaningvehide-traveling-environment data related to traveling environments in which the analysis-target-ieaning vehicle traveis,

7. The leaning-vehicle-traveling-data-analysis method according to any one of daims 1 to 6, wherein the reference-generation-leaning-vehide-travêling data inciudes data in a State where options of détermination by the driver are limited by vehicles around the leaning vehicle but some options are left, and the analysis-leaning-vehicle-traveiing data includes data in a State where options of détermination by the analysis target are limited by vehicles around the analysis-target-leaning vehicle but some options are left.

8. The feaning-vehicle-traveling-data-analysîs method according to any one of daims 1 to 7, wherein the referènce-generation-lëaning-vëhicîe-travëüng data indu des data in a State where at ieast one of a passenger or an object is mounted, and the analysis-feaning-vehidsTravsüng data includes data in a State where at least one of a passenger or an object is mounted,

9. The leaning-vehicle-traveling-data-analysis method according to any one of daims 1 to 8, wherein the acquired analysis data is stored, and the stored analysis data comprises a plurality of sets of stored analysis data, and the output data is generated by using the plurality of sets of stored analysis data.

10. The leaning-vehide-traveling-data-analysîs method according to any one of daims 1 to 9, wherein the output data is generated as data-processing-analysis data to be used in further data processing.

11. A leaning-vehicle-traveling-data-analysis device, comprising:

a leaning-vehicle-traveling-reference-data acquirer configured to acquire leaning-vehicle-traveling-reference data, the leaning-vehicle-traveling-reference data being traveling reference data of a leaning vehicle that Ieans rightward when tuming to the right and Ieans leftward whsn tuming to the left;

an analysis-leaning-vehicle-traveling-data acquirer configured to acquire anaiysis-leaning-vehicle-traveling data, the analysis-leaning-vehicie-traveling data being traveling data of an analysis-target-leaning vehicle that is a leaning vehicle as an analysis target;

an analysis data acquirer configured to analyze the acquired analysis-leaningvehicle-traveling data based on the acquired leaning-vehicle-traveling-reference data, thereby acquiring analysis data of at least one of an analysis target that is a driver to be analyzed or the analysis-target-leaning vehicle;

an output data generator configured to generate output data to be output, by using the analysis data; and a data output section configured to output the output data, wherein in a case where a density range between a lowest density and a highest density of leaning vehicles traveling on a public road is divided into four density ranges, the leaning-vehicle-traveling-reference data is generated based on referencegeneration-leaning-vehicle-traveling data including a larger amount of traveiing data of leaning vehicles traveiing on the public road in intermediate density ranges that are two density ranges except for a low density range with a lowest density and a high density range with a highest density of the four density ranges than traveiing data of leaning vehicles traveling on the public road in the low density range and the high density range of the four density ranges, the analysis-leaning-vehicle-traveling data includes analysis-traveling-densityrelated data related to a density of leaning vehicles when the analysis-target-leaning vehicle is driven by the analysis target and travels on a public road, and leaning-vehicle-traveling data of the analysis-target-leaning vehicle is analyzed.

12. The leaning-vehicle-traveiing-data-analysis device according to claim 11, wherein the reference-generation-ieaning-vehicie-traveling data includes ciassificationrelated data for ciassifying at least one of a driver or a leaning vehicle, the analysis-leaning-vehicle-traveling data includes analysis-classificationrelated data for ciassifying at least one of the analysis target or the analysis-targetleaning vehicle, and the analysis data acquirer anaiyzes the anaiysis-leaning-vehicle-traveling data based on the leaning-vehicle-traveling-reference data generated based on the reference-generation-leaning-vehicle-traveling data, to thereby acquire analysis data of at least one of the analysis target or the analysis-target-leaning vehicle classified by using the analysis-classification-reîated data.

13. The ieaning-vehicie-travefing-data-anaiysis device according to claim 11 or 12, wherein the analysis data is obtained by using an analysis resuit of synchronism of the analysis-leaning-vehicie-traveling data with respect to the leaning-vehicle-travelingreference data including data whose density is similar to a density of the analysistraveling-density-related data, in the leaning-vehicle-traveling-reference data.

14. The leaning-vehicie-traveling-data-analysis device according to any one of claims 11 to 13, wherein the analysis data includes data related to an évaluation resuit of a driving prédiction skill when the analysis target drives the analysis-target-leaning vehicle il niiKIi/* γλώΗ Linv^iiri^ ksi j u

15. The leanîng-vehicle-traveling-data-analysis device according to any one of claims 11 to 14, wherein the reference-generation-leaning-vehicie-traveling data includes at least one of reference-generation-ieaning-vehicle-driving-input data related to a driving input by the driver to the leaning vehicle, reference-generation-leaning-vehicle-location data related to a traveling location of the leaning vehicie traveling on a public road, or referencegeneration-leaning-vehicle-behavior data related to a behavior of the leaning vehicie, and the analysis-leaning-vehicle-traveling data includes at least one of analysisleaning-vehicle-driving-input data related to a driving input by the analysis target to the analysis-target-leaning vehicle, analysis-leaning-vehicle-location data related to a traveling location of the analysis-target-leaning vehicle traveling on a public road, or analysis-leaning-vehicle-behavior data related to a behavior of the analysis-targetleaning vehicle.

16. The ieaning-vehicie-traveling-data-analysis device according to any one of claims 11 to 15, wherein the reference-generation-leaning-vehicle-traveiing data further includes reference-generation-ieaning-vehicle-traveiing-environment data related to traveling environments in which the leaning vehicle travels, and the a nalysis-leaning-vehicle-traveling data further includes anaiysis-leaningvehîcle-traveiing-environment data related to traveling environments in which the analysis-target-leaning vehicle travels.

17. The îeaning-vehicle-traveiing-data-analysis device according to any one of claims 11 to 16, wherein the output data is generated as analysis data for data processing, the analysis data for data processing being to be used în further data processing.

18. A data processing method using the output data generated as the dataprocessing-analysis data in the leaning-vehicle-traveîing-data-analysis method as claimed in claim 10, the data processing method comprising:

acquiring the output data;

acquiring first data, the first data being different from ths output data;

generating second data by using the output data and the first data, the second data being different from the output data and the first data; and outputting the second data.

19. A data processing device using the output data generated as the dataprocessing-analysis data in the leaning-vehicle-traveling-data-analysis device as claimed in claim 17, the data processing device comprising:

an output data acquirer configured to acquire the output data;

a first data acquirer configured to acquire first data, the first data being different from the output data;

a second data generator configured to generate second data by using the output data and the first data, the second data being different from the output data and the first data; and a second-data-output section configured to output the second data.