Vehicle traveling data processing device and vehicle traveling data processing method

Abstract

A processor of a vehicle traveling data processing device outputs data used in a system or device including a display function by which visual comparison is possible. The output data includes three information sets (SI(i), SI(ii), SI(iii)), each of which including travel trajectory information used when travel trajectories are displayed to be visually comparable. Namely, the three information sets include: the information set (SI(i)) in which first travel trajectory information (IT1) is associated with first physical quantity A information (IP1A); the information set (SI(ii)) in which second travel trajectory information (IT2) is associated with second physical quantity A information (IP2A); and the information group (SI(iii)) in which the first travel trajectory information (IT1) is at least associated with the second travel trajectory information (IT2), and when the travel trajectories and the physical quantities A displayed on the basis of the three information sets (SI(i), SI(ii), SI(iii)) are visually compared, at least a portion of the travel trajectories included in each of the three information sets (SI(i), SI(ii), SI(iii)) is composed of data granularity that would be a visual clue.

Description

Vehicle driving data processing device and vehicle driving data processing method

[0001] The present invention relates to a vehicle driving data processing method or device for acquiring and processing vehicle driving data relating to a vehicle in motion and outputting the data.

[0002] Conventionally, vehicle driving data processing methods or devices have been proposed that output data used in, for example, a training assistance system or device (see, for example, Patent Document 1), a vehicle control system or device that controls a vehicle (see, for example, Patent Document 2), and a vehicle driving data recording system or device that records vehicle driving data (see, for example, Patent Document 3). For example, data output by the vehicle driving data processing method or device can be acquired by the training assistance system or device, and a display image can be displayed based on the data. For example, data output by the vehicle driving data processing method or device can be acquired by the vehicle control system or device, and a display image can be displayed on a vehicle meter based on the data, allowing the driver to select a type of control, and the vehicle can be controlled in accordance with the selection. For example, data output by the vehicle driving data processing method or device can be acquired by the vehicle driving data recording system or device, and a display image can be displayed based on the data. Note that the vehicle driving data processing method or device can be incorporated into, for example, a training assistance system or device, a vehicle control system or device that controls a vehicle, or a vehicle driving data recording system or device that records vehicle driving data. Furthermore, the vehicle driving data processing method or device can be configured separately from and used in combination with, for example, a driving training support system or device, a vehicle control system or device that controls a vehicle, or a vehicle driving data recording system or device that records vehicle driving data. For example, as disclosed in Patent Documents 4 to 6, the vehicle driving data processing method or device outputs data that associates physical quantity information included in the vehicle driving data with driving trajectory information. The data output by the vehicle driving data processing method or device is generated based on data that associates physical quantity information with driving trajectory information, and therefore strongly reflects the characteristics of the vehicle.Therefore, by using data that strongly reflects vehicle characteristics output by a vehicle driving data processing method or device, it is possible to improve the performance of a vehicle driving data recording system or device, while reducing the amount or type of data and increasing the design flexibility of hardware resources. In particular, Patent Documents 4 and 5 propose systems or devices that have a function of displaying two pieces of data, physical quantity information and driving trajectory information included in the vehicle driving data, in a manner that allows them to be visually compared, for example, by displaying display images side by side. Furthermore, Patent Document 6 proposes a system or device that has a function of displaying two pieces of data, physical quantity information and driving trajectory information included in the vehicle driving data in a manner that allows them to be visually compared, for example, by displaying them in graphs.

[0003] International Publication No. WO 2015 / 083420 JP 2006-274869 A JP 8-331158 A International Publication No. WO 2020 / 100333 International Publication No. WO 2020 / 100332 International Publication No. WO 2020 / 100334

[0004] In particular, in a system or device having a function of displaying data that associates physical quantity information and driving trajectory information contained in vehicle driving data so that the data can be compared visually, there is a demand for further improving the function of displaying the data so that the data can be compared visually while minimizing a decrease in the degree of freedom in designing hardware resources. Therefore, a vehicle driving data processing method or device that outputs data used in a system or device having a function of displaying the data so that the data can be compared visually is desired to output data that can further improve the function of displaying the data so that the data can be compared visually while minimizing a decrease in the degree of freedom in designing hardware resources of the system or device having a function of displaying the data so that the data can be compared visually.

[0005] The object of the present invention is to provide a vehicle driving data processing method or device that outputs data to be used in a system or device with a function to display data so that it can be compared visually, and that can output data that further improves the function to display data so that it can be compared visually, while minimizing a reduction in the design freedom of the hardware resources of the system or device.

[0006] (1) A vehicle driving data processing device according to one embodiment of the present invention and a vehicle driving data processing device that executes a vehicle driving data processing method according to one embodiment of the present invention have the following configuration. The vehicle driving data processing device includes a memory and a processor. The processor executes an acquisition process that acquires, into the memory, at least first physical quantity A information (IP1A) and second physical quantity A information (IP2A) related to a physical quantity A included in vehicle driving data related to a vehicle in motion, and first driving trajectory information (IT1) and second driving trajectory information (IT2) related to a driving trajectory included in the vehicle driving data. The processor executes an output process that outputs data used in a system or device having a display function for visual comparison, based on at least the first physical quantity A information (IP1A), the second physical quantity A information (IP2A), the first driving trajectory information (IT1), and the second driving trajectory information (IT2) acquired into the memory. For example, the data output by the output process includes data that can be visually compared by displaying them side by side. The data output in the output process includes three sets of information (SI(i), SI(ii), SI(iii)), each of which includes travel locus information used when displaying the travel locus so that it can be visually compared, namely, a set of information (SI(i)) associating the first travel locus information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) associating the second travel locus information (IT2) with the second physical quantity A information (IP2A), and a set of information (SI(iii)) associating at least the first travel locus information (IT1) with the second travel locus information (IT2). Therefore, using this data, three display images (DI(I), DI(II), DI(III)) each including a visually displayed driving trajectory, i.e., a display image (DI(I)) including a first driving trajectory and a first physical quantity A, a display image (DI(II)) including a second driving trajectory and a second physical quantity A, and a display image (DI(III)) including at least the first driving trajectory and the second driving trajectory, can be displayed so as to be visually compared.Additionally, the data output by the output process is configured with a data granularity that allows at least a portion of the driving trajectories included in each of the three information sets (SI(i), SI(ii), and SI(iii)) to serve as visual clues when visually comparing the driving trajectories and the physical quantities A displayed based on the three information sets (SI(i), SI(ii), and SI(iii)). Each of the three display images (DI(I), DI(II), and DI(III)) includes a visually displayed driving trajectory. By configuring the driving trajectories with a data granularity that provides visual clues, the user can use the shape of the driving trajectory as a visual clue. This allows the user to more easily visually compare the driving trajectories and the physical quantities A displayed based on the three display images (DI(I), DI(II), and DI(III)). For example, the user can check the difference in the physical quantities A by using the shape of the driving trajectory as a visual clue for areas where the difference in the driving trajectories is large and their surrounding areas. Furthermore, for example, differences in the travel locus can be confirmed by visually checking the shape of the travel locus for areas and their surroundings where the difference in physical quantity A is large. The first travel locus information (IT1) and the second travel locus information (IT2) included in the information set (SI(iii)) associating the first travel locus information (IT1) and the second travel locus information (IT2) can utilize the travel locus information included in the remaining two information sets (SI(i) and SI(ii)) of the three information sets (SI(i), SI(ii), and SI(iii)). Additionally, because at least a portion of the travel locus included in each of the three information sets (SI(i), SI(ii), and SI(iii)) can have a data granularity that provides a visual clue, there is no need to specially process the travel locus information. This reduces the load on hardware resources. As a result, the design flexibility of the hardware resources can be minimized.Therefore, the configuration (1) can provide a vehicle driving data processing method or device that outputs data to be used in a system or device that has the function of displaying data so that it can be compared visually, and that can output data that further improves the function of displaying data so that it can be compared visually, while minimizing the reduction in the design freedom of the hardware resources of the system or device that has the function of displaying data so that it can be compared visually.

[0007] In other words, data granularity refers to the fineness of the data or the sampling frequency. For example, when driving trajectory information with coarse data granularity is visually displayed, it appears as a polygonal line connecting points or a virtual line obtained by interpolating the points through calculations (see comparative example 1 and comparative example 2 in Figure 1). Therefore, when driving trajectory information with coarse data granularity is visually displayed, it appears unnatural as a vehicle driving trajectory formed by continuous physical phenomena. For example, when one of the driving trajectory information included in a set of three pieces of information (SI(i), SI(ii), SI(iii)) is displayed as a polygonal line, it becomes difficult to recognize the same area on the driving trajectory when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). For example, if one of the pieces of driving trajectory information included in the three sets of information (SI(i), SI(ii), SI(iii)) is displayed as a virtual line, when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), it is difficult to recognize the same area on the driving trajectory. The data granularity at which the driving trajectory serves as a visual clue is a data granularity at which, when the driving trajectory information composed of that data granularity is visually displayed, it is recognized as a natural driving trajectory of a physically continuous vehicle. The data granularity at which the driving trajectory serves as a visual clue is a data granularity at which, when the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)) are visually compared, the same area on the driving trajectory included in each piece of driving trajectory is recognized.

[0008] As disclosed in the Background Art, when visually comparing information, it is common to display two visual display images side by side or to display the differences in a graph or the like. This is because, when visually comparing information, increasing the amount of visual information increases the amount of information that the user must remember when moving their gaze. The increased amount of visual information that must be remembered increases the difficulty of comparison. For example, increasing two visual display images to three simply increases the amount of visual information. However, the present invention employs the following three features to make the increased visual information easier to remember, thereby making comparison easier even when two visual display images are increased to three. The first feature is that the three visual display images share a common visual cue. This reduces the increase in visual information, making it easier for the user to remember, even when two visual display images are increased to three. The second feature is that the common visual cue among the three visual display images is the vehicle's travel trajectory. The vehicle's travel trajectory is an important key factor that reflects the vehicle's travel conditions. Furthermore, the vehicle's driving trajectory is easy to imagine and remember. The third innovation is to configure the data granularity of the vehicle's driving trajectory, which is common to the three visual display images, so that it serves as a visual clue. This reduces the differences in the visual shape of the vehicle's driving trajectory, which is common to the three visual display images, suppresses the increase in visual information, and makes it easier for the user to remember. The above-mentioned configuration, which includes these three innovations, can achieve the above-mentioned effects.

[0009] The present invention increases visual information to facilitate visual comparison, but by incorporating the above three techniques into the increased visual information, it is possible to minimize a reduction in the design flexibility of hardware resources. For example, the present invention differs in its means and functions from the approach disclosed in the background art, which reduces the amount and type of data to improve the design flexibility of hardware resources while maintaining the ease of visual comparison. The present invention improves the design flexibility of hardware resources while making visual comparison easier by using the vehicle's travel trajectory as a visual cue common to three visual display images. This eliminates the need to display a pointer as a visual cue, for example. In other words, the present invention differs in its means and functions from a data processing device that outputs data for displaying travel trajectories with a pointer displayed so that they can be visually compared. By focusing on the data granularity of the travel trajectory as a visual cue, the present invention improves the design flexibility of hardware resources while making visual comparison easier. For example, without a clear perspective on the data granularity of the travel trajectory as a visual cue when comparing three visual display images, it is difficult to derive the directionality of the means and functions of the present invention.

[0010] The physical quantity A information is information about the physical quantity A that is the basis of data displayed for visual comparison in a system or device having a display function for visual comparison. The physical quantity A may be displayed using different colors relative to the travel trajectory. The physical quantity A may be displayed using different shades of color relative to the travel trajectory. The physical quantity A may be displayed using different colors by increasing the width of the travel trajectory. The physical quantity A may be displayed using different shades of color by increasing the width of the travel trajectory. The physical quantity A may be displayed in any manner that does not significantly distort the shape of the travel trajectory. The method of displaying the data for visual comparison may be a method of displaying multiple display images (DI(I), DI(II), DI(III), etc.) side by side on a single screen. The method of displaying the data for visual comparison may be a method of switching between multiple display images (DI(I), DI(II), DI(III), etc.) on a single screen. The travel trajectory may be displayed as the entire data. The travel trajectory may be displayed as a portion of the entire data. The travel path may be displayed by switching between the entire data and a part of the data, or the travel path may be displayed by displaying both the entire data and a part of the data.

[0011] The driving trajectory information is information about a driving trajectory that serves as the basis for data displayed for visual comparison in a system or device having a display function for visual comparison. The driving trajectory information may be driving data from driving on a public road. The driving trajectory information may be driving data from driving on a circular path such as a circuit. The driving trajectory information is not limited to a specific location as long as it is vehicle driving data. The driving trajectory information may be acquired using equipment installed in the vehicle. The driving trajectory information may be information about a trajectory of a position inside or on the surface of the vehicle, or information about a trajectory of a position near the vehicle. A position near the vehicle is a specific position relative to the vehicle, such as the driver's head or arm. The driving trajectory information may include, for example, latitude and longitude information. The driving trajectory information may be information generated using a Global Navigation Satellite System (GNSS) or information generated without using a GNSS. The driving trajectory information may be, for example, information about the trajectory of the position of a device that receives radio waves from GNSS satellites. The device that receives radio waves from GNSS satellites may be attached to a vehicle or to an item worn by the driver (for example, a helmet or a wristband). The driving trajectory information may also be obtained by correcting information about the trajectory of the position of a device that receives radio waves from GNSS satellites. The driving trajectory information does not include information that can only identify which roads on a map were traveled. The driving trajectory indicated by the driving trajectory information may deviate slightly from the actual driving trajectory. For example, if the first driving trajectory information (IT1) is generated using GNSS, deviations may occur depending on the accuracy of the GNSS.

[0012] The physical quantity A is a physical quantity related to the vehicle or rider during travel other than the travel trajectory, and is, for example, one of speed, acceleration, jerk, angle, angular velocity, angular acceleration, etc. More specifically, the physical quantity A is one of vehicle speed, longitudinal velocity, lateral velocity, longitudinal acceleration, lateral acceleration, lateral vehicle body tilt angle, lateral rider tilt angle, lateral vehicle body tilt angular velocity, lateral rider tilt angular velocity, lateral vehicle body tilt angular acceleration, lateral rider tilt angular acceleration, etc. The tilt angle, tilt angular velocity, and tilt angular acceleration here refer to the tilt angle, tilt angular velocity, and tilt angular acceleration of the vehicle body or rider in the lateral direction relative to the up-down direction. The physical quantity A information may be acquired using a device provided in the vehicle.

[0013] The first physical quantity A information (IP1A) and the first driving trajectory information (IT1) are information about a vehicle that is acquired while the vehicle is traveling or that is generated based on information acquired while the vehicle is traveling. The second physical quantity A information (IP2A) and the second driving trajectory information (IT2) are information about a vehicle that is acquired while the vehicle is traveling or that is generated based on information acquired while the vehicle is traveling. The first driving trajectory information (IT1) and the second driving trajectory information (IT2) may be information about the same vehicle or about different vehicles of the same model. The first driving trajectory information (IT1) and the second driving trajectory information (IT2) may be information about different types of vehicles. The first driving trajectory information (IT1) and the second driving trajectory information (IT2) may be information about vehicles driven by the same driver or about vehicles driven by different drivers. The first traveling locus information (IT1) and the first physical quantity A information (IP1A) acquired in the acquisition process may each include information related to time (e.g., information including the date and time). In this case, the first traveling locus information (IT1) and the first physical quantity A information (IP1A) may be associated with each other by the information related to time. The first traveling locus information (IT1) and the first physical quantity A information (IP1A) may be associated with each other by information other than the information related to time. The first traveling locus information (IT1) and the first physical quantity A information (IP1A) may include information other than the information related to time (e.g., an identification ID) and may be associated with each other by the information related to time and other information (e.g., the identification ID). In the acquisition process, the first traveling locus information (IT1) and the first physical quantity A information (IP1A) may be acquired separately or as information associated with each other. The association between the second traveling locus information (IT2) and the second physical quantity A information (IP2A) is similar to the association between the first traveling locus information (IT1) and the first physical quantity A information (IP1A).The first traveling locus information (IT1) included in the set of information (SI(i)) associating the first traveling locus information (IT1) with the first physical quantity A information (IP1A) and the first traveling locus information (IT1) included in the set of information (SI(iii)) associating at least the first traveling locus information (IT1) with the second traveling locus information (IT2) may or may not have a different data granularity. The same applies to the second traveling locus information (IT2). The processor may change the data granularity of the acquired data when generating data to be output based on the information acquired in the acquisition process. Note that the data granularity of the first traveling locus information (IT1) and the first physical quantity A information (IP1A) included in the set of information (SI(i)) associating the first traveling locus information (IT1) and the first physical quantity A information (IP1A) may be the same, and the data granularity of the second traveling locus information (IT2) and the second physical quantity A information (IP2A) included in the set of information (SI(ii)) associating the second traveling locus information (IT2) and the second physical quantity A information (IP2A) may be the same.

[0014] The vehicle driving data may include more information, such as third physical quantity A information (IP3A) and third driving trajectory information (IT3). The data output by the output process may include more than three sets of information. For example, the data may include a set of information (SI(i)) associating the first driving trajectory information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) associating the second driving trajectory information (IT2) with the second physical quantity A information (IP2A), a set of information (SI(iv)) associating the third driving trajectory information (IT3) with the third physical quantity A information (IP3A), and a set of information (SI(iii)) associating the first driving trajectory information (IT1), the second driving trajectory information (IT2), and the third driving trajectory information (IT3). It is possible to increase the number of pieces of information and sets of information. The vehicle driving data may include information on multiple types of physical quantities, such as physical quantity B information, in addition to physical quantity A information. The data output by the output process may include more than three sets of information. For example, the data may include a set of information (SI(i)) associating the first traveling locus information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) associating the second traveling locus information (IT2) with the second physical quantity A information (IP2A), a set of information (SI(iii)) associating the first traveling locus information (IT1) with the second traveling locus information (IT2), a set of information (SI(v)) associating the first traveling locus information (IT1) with the first physical quantity B information (IP1B), and a set of information (SI(vi)) associating the second traveling locus information (IT2) with the second physical quantity B information (IP2B).For example, a set of information (SI(i)) associating the first traveling locus information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) associating the second traveling locus information (IT2) with the second physical quantity A information (IP2A), a set of information (SI(iv)) associating the third traveling locus information (IT3) with the third physical quantity A information (IP3A), a set of information (SI(iv)) associating the first traveling locus information (IT1), the second traveling locus information (IT2), and the third traveling locus information (IP3A), The output data may include a set of information (SI(iii)) associating the first travel locus information (IT1) with the first physical quantity B information (IP1B), a set of information (SI(v)) associating the second travel locus information (IT2) with the second physical quantity B information (IP2B), and a set of information (SI(vi)) associating the third travel locus information (IT3) with the third physical quantity B information (IP3B). It is possible to increase the number of pieces of information and sets of information included in the data output by the output process. Note that, based on a plurality of sets of information including travel locus information (SI(i), SI(ii), SI(iii), SI(iv), SI(v), SI(vi), SI(vii), etc.), a plurality of display images (DI(I), DI(II), DI(III), DI(IV), DI(V), DI(VI), DI(VII), etc.) including travel locus information may be displayed so as to be visually comparable. For example, a display image (DI(I)) including a first driving locus and a first physical quantity A, a display image (DI(II)) including a second driving locus and a second physical quantity A, a display image (DI(III)) including a first driving locus and a second driving locus, a display image (DI(IV)) including a third driving locus and a third physical quantity A, a display image (DI(III)) including a first driving locus, a second driving locus, and a third driving locus, a display image (DI(V)) including a first driving locus and a first physical quantity B, a display image (DI(VI)) including a second driving locus and a second physical quantity B, and a display image (DI(VII)) including a third driving locus and a third physical quantity B may be displayed.

[0015] The vehicle driving data processing device of the present invention may be incorporated into a system or device having a function of displaying data for visual comparison, such as a training assistance system or device (see, for example, Patent Document 1), a vehicle control system or device for controlling a vehicle (see, for example, Patent Document 2), or a vehicle driving data recording system or device for recording vehicle driving data (see, for example, Patent Document 3). In this case, the processing of the present invention may be executed by the memory and / or processor of the system or device having the function of displaying data for visual comparison. The processing of the present invention may be executed by a memory and / or processor different from the memory and / or processor of the system or device having the function of displaying data for visual comparison. The vehicle driving data processing device of the present invention may be configured as a device separate from the system or device having the function of displaying data for visual comparison, such as a training assistance system or device (see, for example, Patent Document 1), a vehicle control system or device for controlling a vehicle (see, for example, Patent Document 2), or a vehicle driving data recording system or device for recording vehicle driving data (see, for example, Patent Document 3). In this case, the data output from the processor of the present invention may be configured to be acquired by the processor of the system or device having the function of displaying data for visual comparison. The method of data exchange is not limited to communication, via the cloud, etc. A system or device with a function of displaying data for visual comparison may have, for example, a display device or a printing device. In the present invention, outputting data in the output process may mean outputting data to a device external to the vehicle driving data processing device. Outputting data in the output process may mean outputting data to a processor included in the vehicle driving data processing device, which may be the same as or different from the processor that executes the acquisition process and the output process.

[0016] (2) In addition to the configuration described in (1), the vehicle driving data processing device and vehicle driving data processing method according to one embodiment of the present invention may have the following configuration: The data output in the output process is configured at a data granularity such that, when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) can be used as a visual cue without displaying a pointer. Therefore, displaying a pointer is not necessary when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). Using the driving trajectories without displaying a pointer as a visual cue, the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)) can be more easily visually compared. For example, when a pointer is displayed on a display image (DI(I)) including a first travel trajectory and a first physical quantity A and a display image (DI(III)) including a first travel trajectory and a second travel trajectory, the data output by the output process needs to associate pointer position information, travel trajectory information, and physical quantity A information so that the pointer positions can be synchronized between the two display images (DI(I) and DI(III)). Because a pointer is not required, adding pointer position information for displaying the pointer and associating the pointer position information, travel trajectory information, and physical quantity A information is not required. This reduces the load on hardware resources. As a result, the reduction in the design flexibility of hardware resources is minimized. Therefore, the configurations (1) and (2) above can provide a vehicle travel data processing method or device that outputs data for use in a system or device with a visually comparable display function, which can output data that further improves the visually comparable display function while minimizing the reduction in the design flexibility of the hardware resources of the system or device.If there are sufficient hardware resources, the travel path with the pointer displayed may be used as a visual cue in addition to the travel path without the pointer displayed.

[0017] (3) In addition to the configuration of (1) or (2), the vehicle driving data processing device and vehicle driving data processing method according to one embodiment of the present invention may have the following configuration: The data output in the output process is configured at a data granularity such that, when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the turning portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) serves as a visual clue. The turning portion of the driving trajectory is a portion that is characteristic in terms of visual shape. Therefore, using the turning driving trajectory, which is characteristic in terms of visual shape, as a visual clue, it is possible to more easily visually compare the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). Because the driving trajectory during a turn, which has a distinctive visual shape, serves as a visual cue, for example, displaying a pointer is not required when visually comparing driving trajectories and physical quantities A displayed based on three sets of information (SI(i), SI(ii), and SI(iii)). For example, if a pointer is displayed on a display image (DI(I)) including a first driving trajectory and a first physical quantity A and a display image (DI(III)) including a first driving trajectory and a second driving trajectory, the data output by the output processing must associate pointer position information, driving trajectory information, and physical quantity A information so that the pointer positions can be synchronized between these two display images (DI(I) and DI(III)). Because displaying a pointer is not required, adding pointer position information for displaying the pointer and associating the pointer position information, driving trajectory information, and physical quantity A information are not required. This reduces the load on hardware resources. As a result, the design flexibility of hardware resources can be minimized.Therefore, by the configurations (1) and (3), it is possible to provide a vehicle driving data processing method or device that outputs data to be used in a system or device having a function of displaying data to allow visual comparison, which can output data that further improves the function of displaying data to allow visual comparison while further minimizing a decrease in the degree of freedom in designing the hardware resources of the system or device having the function of displaying data to allow visual comparison. Note that if there are spare hardware resources, the driving trajectory with the pointer displayed may be used as a visual clue in addition to the driving trajectory without the pointer displayed.

[0018] (4) In addition to any one of the configurations (1), (2), and (3) described above, the vehicle driving data processing device and vehicle driving data processing method according to one embodiment of the present invention may have the following configuration. The data output by the output process is configured with a time-series data granularity such that, when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), and SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), and SI(iii)) can serve as visual clues. This makes it easier to acquire driving trajectory information at a sampling frequency matched to the expected vehicle speed during vehicle travel. Note that if the sampling frequency is too low, the vehicle driving trajectory will be displayed unnaturally and will not be usable as a visual clue. On the other hand, if the sampling frequency is too high, the load on hardware resources will increase, significantly reducing the design flexibility of the hardware resources. Therefore, the configurations (1) and (4) above make it possible to provide a vehicle driving data processing method or device that outputs data to be used in a system or device having a function of displaying data to allow for visual comparison, which can output data that further improves the function of displaying data to allow for visual comparison while further minimizing a decrease in the degree of freedom in designing the hardware resources of the system or device having the function of displaying data to allow for visual comparison. Note that the data granularity in the time series direction that provides a visual clue can be rephrased as data granularity acquired at a sampling frequency that matches the vehicle speed while the vehicle is traveling, which is expected to provide a visual clue.

[0019] (5) A vehicle driving data processing device and a vehicle driving data processing method according to an embodiment of the present invention may have the following configuration in addition to any one of the configurations (1), (2), (3), and (4) above. The data output in the output process is configured at a data granularity such that, when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is displayed as a line including a curve to provide a visual clue. The curve of the driving trajectory is smooth and is a visually distinctive part. Therefore, by using the driving trajectory as a line including a curve that is a distinctive visual shape as a visual clue, it is possible to more easily visually compare the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). Because the driving trajectory, which is a line including a characteristic curve as a visual shape, is used as a visual cue, for example, when visually comparing driving trajectories and physical quantities A displayed based on three sets of information (SI(i), SI(ii), and SI(iii)), displaying a pointer is not required. For example, if a pointer is displayed on a display image (DI(I)) including a first driving trajectory and a first physical quantity A and a display image (DI(III)) including the first driving trajectory and a second driving trajectory, the data output by the output processing must associate pointer position information, driving trajectory information, and physical quantity A information so that the pointer positions can be synchronized between these two display images (DI(I) and DI(III)). Because displaying a pointer is not required, adding pointer position information for displaying the pointer and associating the pointer position information, driving trajectory information, and physical quantity A information are not required. This reduces the load on hardware resources. As a result, the design flexibility of hardware resources can be minimized.Therefore, by the configurations (1) and (5) above, it is possible to provide a vehicle driving data processing method or device that outputs data to be used in a system or device having a function of displaying data to allow visual comparison, which can output data that further improves the function of displaying data to allow visual comparison while further minimizing a decrease in the degree of freedom in designing the hardware resources of the system or device having the function of displaying data to allow visual comparison. Note that if there are spare hardware resources, the driving trajectory with the pointer displayed may be used as a visual clue in addition to the driving trajectory without the pointer displayed.

[0020] (6) A vehicle driving data processing device and a vehicle driving data processing method according to an embodiment of the present invention may have the following configuration in addition to any one of the configurations (1), (2), (3), (4), and (5) above. The data output in the output process has a data granularity of 10 Hz to 50 Hz, in terms of a sampling frequency, so that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) are displayed naturally as the vehicle's driving trajectory, providing a visual clue. A motorcycle, which is classified as a small vehicle, has a wheelbase of approximately 100 to 150 cm. The expected maximum vehicle speed during a turn is 30 to 150 km / h. For example, when traveling at 30 km / h with a turning radius of 10 m, the lateral acceleration is approximately 0.7 G. For example, when displayed on a tablet, a 20-meter diameter is scaled down to approximately 1 / 200 so that a 20-meter diameter fits into approximately 10 cm. To display the vehicle's travel path naturally and provide a visual cue, the data interval is preferably smaller than the wheelbase at the expected vehicle speed. If the vehicle's wheelbase is 100 cm, the expected vehicle speed is 30 km / h, and the sampling frequency is 10 Hz, the data interval will be approximately 83 cm. For example, the data interval on a tablet will be 5 mm or less. Data interpolation makes the travel path appear natural. On the other hand, if the vehicle's wheelbase is 150 cm, the expected vehicle speed is 150 km / h, and the sampling frequency is 50 Hz, the data interval will be approximately 83 cm. In either case, since the data interval is smaller than the wheelbase of a motorcycle, which is approximately 100 to 150 cm, the vehicle's travel path can be displayed naturally and provide a visual cue. Note that the wheelbase of an automobile is longer than that of a motorcycle, and therefore can be covered within the above range. If the sampling frequency is lower than 10 Hz, the vehicle's travel path will appear unnatural when displayed for visual comparison. Therefore, 10 Hz is the lower limit.On the other hand, even if the sampling frequency is higher than 50 Hz, for example, when displaying the vehicle driving trajectories and the physical quantities A based on the three sets of information (SI(i), SI(ii), SI(iii)) on a tablet screen and visually comparing them, no differences can be detected from the perspective of visual clues. 50 Hz is the upper limit to reduce the load on hardware resources. Because the data is configured with a data granularity of 10 to 50 Hz, which is converted into a sampling frequency that naturally displays the vehicle driving trajectories to provide visual clues, the visual comparison display function can be improved while minimizing the reduction in the design flexibility of the hardware resources of a system or device equipped with a display function that allows visual comparison. Furthermore, when the data is configured with a data granularity of 15 to 35 Hz, which is near the center of the 10 to 50 Hz sampling frequency range that naturally displays the vehicle driving trajectories to provide visual clues, the balance between the design flexibility of the hardware resources, the functionality for displaying the visual comparison, and the versatility proportional to the number of target vehicle models can be further improved. The data granularity converted into sampling frequency in (6) above refers to the interval between data at a certain sampling frequency at the assumed maximum vehicle speed during a turn of the assumed vehicle. The data acquired in the acquisition process may be data with a sampling frequency of 10 to 50 Hz, and may be output with that data granularity as is. Even if the data acquired in the acquisition process has a sampling frequency higher than 10 to 50 Hz, it may be converted into a sampling frequency of 10 to 50 Hz and output.

[0021] In the present invention, the processor of the vehicle driving data processing device includes a microcontroller, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a microprocessor, a multiprocessor, an application specific integrated circuit (ASIC), a programmable logic circuit (PLC), a field programmable gate array (FPGA), and any other circuit capable of executing the processing described in this specification.

[0022] In the present invention, the vehicle may or may not have wheels. In the present invention, the vehicle travels on at least one of ground, snow, water, and air. In the present invention, the vehicle may or may not have a power source that generates power for travel. In the present invention, the vehicle may include a saddle-type vehicle. A saddle-type vehicle generally refers to a vehicle on which a driver rides while straddling a saddle. Examples of saddle-type vehicles include motorcycles, motor tricycles, four-wheeled buggies (ATVs: All Terrain Vehicles), snowmobiles, jet skis (personal watercraft), etc. Examples of motorcycles include scooters, motorized bicycles, mopeds, etc. In the present invention, the vehicle may include a four-wheeled vehicle (automobile) other than a saddle-type vehicle. In the present invention, the vehicle may include a watercraft other than a saddle-type vehicle. In the present invention, the vehicle may be an air vehicle such as a drone. In the present invention, the vehicle may be capable of traveling automatically without being operated by a driver. In the present invention, the vehicle traveling data may be data related to the vehicle when traveling by being operated by a driver, or may be data related to the vehicle when traveling automatically without being operated by a driver.

[0023] In this specification, the forward direction of a vehicle refers to the direction in which an upright vehicle travels straight on a horizontal plane. In this specification, the left-right direction of a vehicle refers to the direction perpendicular to the fore-aft direction of the vehicle, as seen by the driver of the vehicle.

[0024] The data output in the output process includes three sets of information (SI(i), SI(ii), SI(iii)) each including travel locus information used when displaying travel loci so that they can be visually compared, that is, a set of information (SI(i)) associating the first travel locus information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) associating the second travel locus information (IT2) with the second physical quantity A information (IP2A), and a set of information (SI(ii)) associating at least the first travel locus information (IT1) with the second travel locus information (IT2). When visually comparing the driving trajectories and the physical quantities A that are displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), including the set (SI(iii)), whether at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) are configured with a data granularity that can provide a visual clue can be determined using a system or device that uses the data output in the output process and has a display function that allows for visual comparison.

[0025] In this invention and this specification, unless otherwise specified, "obtaining, generating, or controlling based on certain data" may mean obtaining, generating, or controlling based on only this data, or obtaining, generating, or controlling based on this data and other data. This definition also applies to operations other than obtaining, generating, or controlling based on certain data.

[0026] As used herein, the terms including, comprising, having, and derivatives thereof are intended to encompass additional items in addition to the listed items and their equivalents. As used herein, the terms mounted, connected, coupled, and supported are used broadly to specifically include direct mounting, connection, coupling, and support, as well as indirect mounting, connection, coupling, and support. Furthermore, connected and coupled are not limited to physical or mechanical connections / couplings; they also include direct or indirect electrical connections / couplings.

[0027] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those skilled in the art to which this invention belongs. Terms, such as those defined in commonly used dictionaries, should be interpreted to have a meaning consistent with the meaning in the context of the relevant technology and this disclosure, and should not be interpreted in an idealized or overly formal sense.

[0028] In this specification, the term "preferable" is non-exclusive. "Preferable" means "preferable, but not limited to." In this specification, a configuration described as "preferable" at least achieves the above-mentioned effect obtained by the configuration (1). Also, in this specification, the term "may" is non-exclusive. "may" means "may, but not limited to." In this specification, a configuration described as "may" at least achieves the above-mentioned effect obtained by the configuration (1).

[0029] The present invention does not restrict the above-described preferred configurations from being combined with each other. Before describing the embodiments of the present invention in detail, it should be understood that the present invention is not limited to the details of the configuration and arrangement of components set forth in the following description or illustrated in the drawings. The present invention is also possible in embodiments other than the embodiments described below. The present invention is also possible in embodiments in which various modifications are made to the embodiments described below. Furthermore, the present invention can be implemented by appropriately combining the embodiments and modifications described below.

[0030] According to the present invention, a vehicle driving data processing method or device that outputs data used in a system or device that has the function of displaying data so that it can be compared visually can output data that further improves the function of displaying data so that it can be compared visually, while minimizing the reduction in the design freedom of the hardware resources of the system or device that has the function of displaying data so that it can be compared visually.

[0031] FIG. 1 is a diagram showing several examples of the configuration of a vehicle driving data device according to an embodiment of the present invention. FIG. 2 is a diagram showing one example of the several examples in FIG. 1. FIG. 3 is a diagram showing another example of the several examples in FIG. 1. FIG. 4 is a diagram showing yet another example of the several examples in FIG. 1. FIG. 5 is a diagram showing yet another example of the several examples in FIG. 1. FIG. 6 is a diagram for explaining one example of data output in the output processing of the vehicle driving data device of the present invention. FIG. 7 is a diagram for explaining another example of data output in the output processing of the vehicle driving data device of the present invention. FIG. 8 is a diagram for explaining yet another example of data output in the output processing of the vehicle driving data device of the present invention.

[0032] Next, a vehicle driving data processing device 1 according to an embodiment of the present invention will be described with reference to FIGS. 1 to 5. FIGS. 1 to 5 show an overview of the configuration of the vehicle driving data processing device 1 and an overview of a vehicle driving data processing method executed by the vehicle driving data processing device 1. FIG. 1 shows four examples of the vehicle driving data processing device 1. The vehicle driving data processing devices 1 shown in FIGS. 2 to 5 correspond to the four examples shown in FIG. 1, respectively. As shown in FIGS. 2 to 5, the vehicle driving data processing device 1 includes a memory 3 and a processor 2. The processor 2 executes an acquisition process S1 and an output process S2. In the acquisition process S1, the processor 2 acquires at least first physical quantity A information IP1A, second physical quantity A information IP2A, first driving trajectory information IT1, and second driving trajectory information IT2 into the memory 3. The data output in output process S2 includes three sets of information SI(i), SI(ii), and SI(iii), each containing travel locus information used when displaying travel loci for visual comparison, namely, a set of information SI(i) associating first travel locus information IT1 with first physical quantity A information IP1A, a set of information SI(ii) associating second travel locus information IT2 with second physical quantity A information IP2A, and a set of information SI(iii) associating at least the first travel locus information IT1 with the second travel locus information IT2.

[0033] The upper right diagram in Fig. 1 and Fig. 2 show two examples of data output in the output process S2. In the upper left diagram in Fig. 1 and Fig. 3, the output data includes three sets of information SI(i), SI(ii), and SI(iii), as well as an information set SI(iv) that associates the third traveling locus information IT3 with the third physical quantity A information IP3A. The information set SI(iii) is an information set that associates the first traveling locus information IT1, the second traveling locus information IT2, and the third traveling locus information IT3. In the lower right diagram in Fig. 1 and Fig. 4, the output data includes, in addition to the three sets of information SI(i), SI(ii), and SI(iii), an information set SI(v) that associates the first traveling locus information IT1 with the first physical quantity B information IP1B, and an information set SI(vi) that associates the second traveling locus information IT2 with the second physical quantity B information IP2B. In the lower left diagram of Fig. 1 and Fig. 5, the output data includes, in addition to the three sets of information SI(i), SI(ii), and SI(iii), a set of information SI(iv) associating the third traveling locus information IT3 with the third physical quantity A information IP3A, a set of information SI(v) associating the first traveling locus information IT1 with the first physical quantity B information IP1B, a set of information SI(vi) associating the second traveling locus information IT2 with the second physical quantity B information IP2B, and a set of information SI(vii) associating the third traveling locus information IT3 with the third physical quantity B information IP3B. Figs. 1 to 5 also show display images DI(I), DI(II), DI(III), DI(IV), DI(V), DI(VI), and DI(VII) when the data output in output process S2 is used in a system or device (not shown) having a function for displaying the data for visual comparison and displayed for visual comparison. Display images DI(I), DI(II), DI(III), DI(IV), DI(V), DI(VI), and DI(VII) correspond to information sets SI(i), SI(ii), SI(iii), SI(iv), SI(v), SI(vi), and SI(vii), respectively.

[0034] 2 to 5, the line width Wa1 when the first traveling locus information IT1 included in the information set SI(iii) is displayed for visual comparison may be smaller than the line width Wb1 when the first traveling locus information IT1 included in the information set SI(i) is displayed for visual comparison. Similarly, the line width Wa2 when the second traveling locus information IT2 included in the information set SI(iii) is displayed for visual comparison may be smaller than the line width Wb2 when the second traveling locus information IT2 included in the information set SI(ii) is displayed for visual comparison.

[0035] In the display image DI(III) in FIGS. 1 to 5 , the travel locus indicated by the first travel locus information IT1 is displayed with a dashed line, and the travel locus indicated by the second travel locus information IT2 is displayed with a solid line. Furthermore, in the display image DI(III) in FIGS. 1 , 3 , and 5 , the travel locus indicated by the third travel locus information IT3 is displayed with a dashed line. The display format for the first travel locus information IT1, the second travel locus information IT2, and the third travel locus information IT3 in the display image DI(III) is not limited to this. For example, the travel locus indicated by the first travel locus information IT1 and the travel locus indicated by the second travel locus information IT2 may be displayed with solid lines of different colors. In FIGS. 1 to 5 , the physical quantities A and B are displayed with a combination of shades of a single color and diagonal hatching, but the display format for the physical quantities A and B is not limited to this.

[0036] 6 to 8 show other specific examples of multiple display images including driving trajectories that are displayed for visual comparison based on the data output in output process S2. In the examples of FIGS. 6 to 8, physical quantity A is forward acceleration, and physical quantity B is lateral acceleration. FIGS. 6 to 8 show examples of display images DI(I), DI(II), DI(III), DI(V), and DI(VI). In the display images DI(V) and DI(VI) of FIGS. 6 to 8, the display form changes depending on the absolute value of the lateral acceleration, regardless of whether the lateral acceleration is positive or negative. However, the display form may also change depending on whether the lateral acceleration is positive or negative.

[0037] In the example of FIG. 6 , the first driving locus information IT1 and the second driving locus information IT2 are information on the driving of the same vehicle driven by the same driver. The first driving locus information IT1 is information on the driving of a vehicle before the second driving locus information IT2. In the example of FIG. 7 , the first driving locus information IT1 and the second driving locus information IT2 are information on the driving of a vehicle of the same model driven by a different driver. In the example of FIG. 8 , the first driving locus information IT1 is information on the driving of vehicle A, and the second driving locus information IT2 is information on the driving of vehicle B, a different model from vehicle A. Vehicle B has a smaller maximum forward acceleration than vehicle A. Once vehicle B decelerates, it takes time to return to its pre-deceleration speed. Therefore, in the example of FIG. 8 , vehicle B is driving with a larger turning radius than vehicle A.

[0038] In the examples of FIGS. 6 to 8 , in addition to display images DI(I), DI(II), DI(III), DI(V), and DI(VI), two display images IM1 and IM2 are displayed. Display image IM1 shows first physical quantity A information IP1A and first physical quantity B information IP1B. Display image IM2 shows second physical quantity A information IP2A and second physical quantity B information IP2B. Display images IM1 and IM2 are graphs with the forward acceleration (physical quantity A) on the vertical axis and the left-right acceleration (physical quantity B) on the horizontal axis. In display images IM1 and IM2, a negative value of the left-right acceleration indicates acceleration to the left, and a positive value of the left-right acceleration indicates acceleration to the right.

[0039] According to the examples of Figures 6 to 8, the driving trajectories, physical quantities A, and physical quantities B displayed based on the display images DI(I), DI(II), DI(III), DI(V), and DI(VI) can be more easily visually compared. Therefore, while visually grasping the differences between the two driving trajectories, it is possible to visually grasp the changes in forward acceleration and lateral acceleration that resulted in the two driving trajectories. Therefore, for example, it is possible to more efficiently analyze whether improvements to driving technique based on the driver's driving skill and / or vehicle characteristics are related to the driving trajectory, forward acceleration, or lateral acceleration. Therefore, data can be output that further improves the visual comparison display function while minimizing the reduction in the design flexibility of the hardware resources of a system or device equipped with a visual comparison display function. Furthermore, by including information for displaying the display images IM1 and IM2 in the output data, it is possible to further improve the visual comparison display function.

[0040] In the examples of Figures 6 to 8, the display images DI(I), DI(II), DI(III), DI(V), and DI(VI) include grid lines to facilitate visual comparison, but they do not have to include such grid lines. The display image DI(I) may also include an aerial photograph of the course taken from above. If the display image DI(I) includes an aerial photograph, it may or may not include grid lines.

[0041] The first physical quantity A information of the present invention corresponds to the first physical quantity information of the basic application of the present application (Patent Application No. 2023-020263), and the second physical quantity A information of the present invention corresponds to the second physical quantity information of the same basic application.

[0042] 1: Vehicle driving data processing device 2: Processor 3: Memory IP1A: First physical quantity A information IP2A: Second physical quantity A information IT1: First driving trajectory information IT2: Second driving trajectory information S1: Acquisition process S2: Output process SI(i): Set of information associating the first driving trajectory information with the first physical quantity A information SI(ii): Set of information associating the second driving trajectory information with the second physical quantity A information SI(iii): Set of information associating the first driving trajectory information with the second driving trajectory information

Claims

1. A memory and a processor, an acquisition process in which the processor acquires, in the memory, at least first physical quantity A information (IP1A) and second physical quantity A information (IP2A) relating to a physical quantity A included in vehicle travel data relating to a vehicle currently travelling, and first travel locus information (IT1) and second travel locus information (IT2) relating to a travel locus included in the vehicle travel data; A vehicle driving data processing device that performs an output process to output data used in a system or device having a function of displaying data for visual comparison based on at least the first physical quantity A information (IP1A), the second physical quantity A information (IP2A), the first driving locus information (IT1), and the second driving locus information (IT2) acquired in the memory, The data output in the output process includes three sets of information (SI(i), SI(ii), SI(iii)), each including travel locus information used when displaying the travel locus so as to be visually compared, that is, a set of information (SI(i)) that associates the first travel locus information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) that associates the second travel locus information (IT2) with the second physical quantity A information (IP2A), and a set of information (SI(ii)) that associates the first travel locus information (IT1) with the second physical quantity A information (IP2A). A vehicle driving data processing device comprising a set of information (SI(iii)) associated with at least driving trajectory information (IT2), and characterized in that when the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)) are visually compared, at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) are configured with a data granularity that provides a visual clue.

2. The data output in the output process is The vehicle driving data processing device according to claim 1, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that provides a visual clue without displaying a pointer.

3. The data output in the output process is 3. The vehicle driving data processing device according to claim 1 or 2, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories during a turn included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that provides a visual clue.

4. The data output in the output process is 3. The vehicle driving data processing device according to claim 1 or 2, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity in the time series direction that provides a visual clue.

5. The data output in the output process is 3. The vehicle driving data processing device according to claim 1 or 2, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that is displayed as lines including curves to provide visual clues.

6. The data output in the output process is 3. The vehicle driving data processing device according to claim 1 or 2, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity of 10 Hz to 50 Hz in terms of a sampling frequency that is displayed naturally as the vehicle's driving trajectory so as to provide a visual clue.

7. A vehicle driving data processing device including a memory and a processor, the processor comprising: an acquisition process for acquiring, at least in the memory, first physical quantity A information (IP1A) and second physical quantity A information (IP2A) relating to a physical quantity A included in vehicle travel data relating to a vehicle in motion, and first travel locus information (IT1) and second travel locus information (IT2) relating to a travel locus included in the vehicle travel data; A vehicle driving data processing method for executing an output process for outputting data used in a system or device having a function of displaying data for visual comparison based on at least the first physical quantity A information (IP1A), the second physical quantity A information (IP2A), the first driving locus information (IT1), and the second driving locus information (IT2) acquired in the memory, comprising: The data output in the output process includes three sets of information (SI(i), SI(ii), SI(iii)), each including travel locus information used when displaying the travel locus so as to be visually compared, that is, a set of information (SI(i)) that associates the first travel locus information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) that associates the second travel locus information (IT2) with the second physical quantity A information (IP2A), and a set of information (SI(ii)) that associates the first travel locus information (IT1) with the second physical quantity A information (IP2A). A vehicle driving data processing method comprising: a set of information (SI(iii)) associated with at least driving trajectory information (IT2); and when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) are configured with a data granularity that provides a visual clue.

8. The data output in the output process is The vehicle driving data processing method of claim 7, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that provides a visual clue without displaying a pointer.

9. The data output in the output process is The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories during turns included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that provides a visual clue.

10. The data output in the output process is The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity in the time series direction that provides a visual clue.

11. The data output in the output process is The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that is displayed as lines including curves to provide visual clues.

12. The data output in the output process is The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and the physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity of 10 Hz or more and 50 Hz or less in terms of a sampling frequency that is displayed naturally as the vehicle's driving trajectory so as to provide a visual clue.