WO2018158862A1

WO2018158862A1 - Accident prediction system for vehicle and accident prediction method for vehicle

Info

Publication number: WO2018158862A1
Application number: PCT/JP2017/008003
Authority: WO
Inventors: 修平茅野
Original assignee: 株式会社イージステクノロジーズ
Priority date: 2017-02-28
Filing date: 2017-02-28
Publication date: 2018-09-07

Abstract

This accident prediction system (11) for a vehicle is provided with a vehicle acceleration acquisition unit (21), a determination unit (23), and a warning unit (24). The vehicle acceleration acquisition unit (21) acquires an X-direction acceleration in the direction of travel when a vehicle is traveling, a Y-direction acceleration which is an acceleration in a Y-direction that is perpendicular to the X-direction in a traveling surface on which the vehicle is traveling, and a Z-direction acceleration which is an acceleration in a Z-direction that is perpendicular to the traveling surface. The determination unit (23) determines which of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the vehicle acceleration acquisition unit (21) is in a warning range that falls outside the acceleration ranges of the X-direction, Y-direction, and Z-direction, the acceleration ranges having been predetermined by assuming a vehicle accident has occurred. The warning unit (24) issues a warning when it is determined by the determination unit (23) that any one among the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration falls outside warning range.

Description

Vehicle accident prediction system and vehicle accident prediction method

The present invention relates to a vehicle accident prediction system and a vehicle accident prediction method.

An accident prevention system that attempts to prevent accidents by predicting accidents is disclosed in Japanese Patent Laying-Open No. 2015-225366 (Patent Document 1). Patent Document 1 discloses an accident prevention system in which one or more monitoring devices installed on a road and an accident prevention device mounted on a vehicle are communicably connected.

Japanese Patent Laying-Open No. 2015-225366

The accident prevention system disclosed in Patent Literature 1 captures an image of a predetermined monitoring area including an intersection by a monitoring device, identifies the imaged vehicle, tracks the identified vehicle, and determines the driving characteristics of the vehicle. It is said. However, with such a configuration, it is not possible to cope with a place where a monitoring device is not installed. That is, a system that predicts the occurrence of an accident with high accuracy under various circumstances is required.

An object of the present invention is to provide a vehicle accident prediction system capable of accurately predicting the occurrence of an accident and preventing the accident.

Another object of the present invention is to provide a vehicle accident prediction method capable of accurately predicting the occurrence of an accident and preventing the accident.

In one aspect of the present invention, the vehicle accident prediction system is a vehicle accident prediction system that predicts a vehicle accident. The vehicle accident prediction system includes a vehicle acceleration acquisition unit, a determination unit, and a warning unit. The vehicle acceleration acquisition unit is an X-direction acceleration that is an acceleration along the traveling direction when the vehicle is traveling, a Y-direction acceleration that is an acceleration in the Y direction perpendicular to the X direction in the traveling surface on which the vehicle is traveling, and a vertical to the traveling surface. The Z direction acceleration, which is the acceleration in the Z direction, is acquired. The determination unit is configured such that any one of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the vehicle acceleration acquisition unit is determined in advance in the event of a vehicle accident. And it is judged whether it is in the warning range which is outside the range of the acceleration in the Z direction. The warning unit issues a warning if the determination unit determines that any of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration is within the warning range.

According to such a vehicle accident prediction system, in addition to the acceleration in the X direction along the traveling direction of the vehicle, the acceleration in the Y direction perpendicular to the X direction in the traveling surface, and the Z in which the vehicle is perpendicular to the traveling surface. The acceleration in the direction is acquired, and it is determined whether these accelerations are in the warning range. If it is within the warning range, a warning is issued. That is, it is possible to issue a warning by determining whether or not the vehicle is in the warning range based on the acceleration in the Y direction perpendicular to the X direction and the acceleration in the Z direction as well as the X direction that is the traveling direction of the vehicle. In this case, the location of the vehicle is not particularly limited. Therefore, it is possible to accurately predict the occurrence of an accident and prevent the accident.

Here, the warning unit may be configured to issue a warning in the vehicle. By doing so, a warning can be issued directly to the driver who drives the vehicle in the vehicle.

Also, the vehicle accident prediction system is provided at a position separated from the vehicle, is communicable with the vehicle, and further includes a management device that manages the traveling of the vehicle. The warning unit may issue a warning in the management device through the communication line. By doing so, it is possible to acquire, store, and accumulate warning information in the management apparatus. Furthermore, it is possible to take some measures for preventing accidents from the management device for the vehicle for which the warning has been issued.

The warning unit may issue a warning to other vehicles via the management device. In this way, while managing the vehicle that issued the warning in the management device, for example, guidance can be transmitted to the other vehicle so as not to bring the other vehicle closer to the vehicle that issued the warning from the management device. Therefore, the possibility that an accident will occur can be reduced.

The warning unit may issue a warning directly to other vehicles. By doing so, a warning can be directly notified to another vehicle without going through the management device or the like. If it does so, time reduction and efficiency at the time of issuing a warning can be aimed at. Therefore, it is possible to reduce the possibility of an accident occurring efficiently. In this case, an audio warning may be issued directly to the other vehicle, or if the vehicle is equipped with a similar vehicle accident prediction system, it is mounted on the other vehicle using a communication line. A warning may be issued from the vehicle accident prediction system.

The warning unit is an X-direction swing, a Y-direction swing, and a Z-direction swing of the vehicle during traveling of the vehicle derived from the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the vehicle acceleration acquisition unit. Depending on the situation, the warning may be changed and the warning may be issued. By doing this, for example, a risk caused by a shake based on a periodic change in acceleration, a shake caused by a shake based on repeated changes in acceleration, or a shake based on a minute change in acceleration. More appropriate warnings can be issued in response to low shaking.

Further, the vehicle accident prediction system further includes a travel information acquisition unit that acquires information on the travel distance of the vehicle, information on the travel time of the vehicle, and information on the travel speed of the vehicle. The warning unit may issue a warning based on the vehicle travel distance information, the vehicle travel time information, and the vehicle travel speed information acquired by the travel information acquisition unit. By doing so, it is possible to more accurately predict the occurrence of an accident from the acquired travel information and prevent the accident.

Further, the vehicle accident prediction system further includes a physical information detection unit that detects physical information of a driver who drives the vehicle. The warning unit may issue a warning based on the driver's physical information detected by the physical information detection unit. By doing so, a warning can be appropriately issued based on the physical condition of the driver of the vehicle.

In addition, the vehicle accident prediction system acquires accelerator work information in which the vehicle driver adjusts the accelerator opening to control acceleration in the traveling direction of the vehicle when the vehicle is running. It is set as the structure further provided with an acquisition part. The warning unit may issue a warning based on the accelerator work information acquired by the accelerator work information acquisition unit. By doing so, it is possible to determine whether or not it is based on the accelerator work and issue a warning.

The vehicle may include a tachograph, and the vehicle acceleration acquisition unit may be mounted on the tachograph. By doing so, it is possible to save the space in the vehicle by including a vehicle acceleration acquisition unit in a tachograph generally provided in a vehicle such as an automobile.

The vehicle may include a car navigation device that performs vehicle route guidance, and the vehicle acceleration acquisition unit may be mounted on the car navigation device. By doing so, a warning can be appropriately issued to the driver.

In another aspect of the present invention, the vehicle accident prediction method includes an X-direction acceleration that is an acceleration along a traveling direction during traveling of the vehicle, and an acceleration in a direction perpendicular to the X-direction in a traveling plane on which the vehicle travels. The step of acquiring the Y-direction acceleration and the Z-direction acceleration that is the acceleration in the direction perpendicular to the running surface, and any one of the acquired X-direction acceleration, Y-direction acceleration, and Z-direction acceleration is a vehicle accident. A step of determining whether or not a warning range that is outside the range of acceleration in the X direction, Y direction, and Z direction that is predetermined in consideration of occurrence, and X direction acceleration, Y direction acceleration, and Z direction acceleration A step of issuing a warning if any of the above is determined to be within the warning range.

According to the vehicle accident prediction method having such a configuration, it is possible to accurately predict the occurrence of an accident and prevent the accident.

According to such a vehicle accident prediction system and vehicle accident prediction method, it is possible to accurately predict the occurrence of an accident and prevent an accident.

It is the schematic which shows the external appearance of the accident prevention system for vehicles which concerns on one Embodiment of this invention. A track provided in the accident prediction system for a vehicle shown in FIG. 1 is a view from the direction indicated by the arrow D ₂ in FIG. It is a block diagram which shows the structure of the accident prediction system for vehicles shown in FIG. It is the conceptual diagram which showed the warning range. It is a flowchart which shows the typical process of the accident prediction method for vehicles which concerns on one Embodiment of this invention. It is a figure which shows the state from which the acceleration of a Y direction changes. It is a figure which shows the state from which the acceleration of a Z direction changes.

Embodiments of the present invention will be described below. In the following drawings, the same or corresponding parts are denoted by the same reference numerals, and description thereof will not be repeated. FIG. 1 is a schematic diagram showing the appearance of a vehicle accident prediction system according to an embodiment of the present invention. Figure 2 is a view seen from the direction indicating a track provided in the accident prediction system for a vehicle shown in FIG. 1 by the arrow D ₂ in FIG. FIG. 3 is a block diagram showing a configuration of the vehicle accident prediction system shown in FIG.

1 to 3, a vehicle accident prediction system 11 according to an embodiment of the present invention is a vehicle accident prediction system that predicts an accident of a first truck 12a as a vehicle. Here, although the truck 12a is shown as a vehicle, it is not limited to this, and any vehicle such as a bus, a motorcycle, a bicycle, or the like that is driven by the driver may be used. It is assumed that the truck 12a is traveling on the road surface 14a of the road 13a. In FIG. 2, the adjacent road 13b adjacent to the right side with respect to the traveling direction of the road 13a, that is, the adjacent lane is also shown. In FIG. 3, the other track 12b is also shown.

Traveling direction of the track 12a is indicated by the arrow _{D 1.} 1 and 2, the traveling direction of the truck 12a is indicated by an X direction in which the direction indicated by the arrow X is the forward direction. In this case, the traveling surface on which the truck 12a travels corresponds to the plane shown in FIG. A direction perpendicular to the X direction on this running surface is defined as a Y direction. The right direction is indicated by an arrow Y with respect to the traveling direction of the track 12a. In addition, the surface perpendicular to the traveling surface corresponds to the plane shown in FIG. The direction perpendicular to the traveling surface is taken as the Z direction. The upward direction in which the track 12a is positioned with respect to the road surface 14a is defined as an arrow Z.

The vehicle accident prediction system 11 includes a management device 16 and a truck 12a, and includes an acceleration sensor 21 as a vehicle acceleration acquisition unit, a tachograph 22, a determination unit 23, a warning unit 24, and a first memory. 25a, a second memory 25b, a third memory 25c, and a communication unit 26. The acceleration sensor 21 acquires the X direction acceleration that is the X direction acceleration of the track 12a, the Y direction acceleration that is the Y direction acceleration, and the Z direction acceleration that is the Z direction acceleration when the track 12a travels. . The acceleration sensor 21 here is a concept including a gyro sensor that detects the rotational angular velocity of an object and a compass that acquires azimuth information, and numerical values obtained from the gyro sensor and the compass are used. X direction acceleration or the like may be acquired.

The X-direction acceleration refers to the acceleration state of the track 12a, that is, the running state of the track 12a, the deceleration state of the track 12a when the track 12a is stopped, and the centrifugal force state when the track 12a turns around a corner. It changes by etc. The acceleration in the Y direction varies depending on the situation when the truck 12a turns around a corner, the situation when the truck 12a changes a so-called lane, the situation where the so-called truck 12a fluctuates during traveling, and the like. The Z-direction acceleration changes depending on the situation where the track 12a is going uphill, downhill, whether the road surface has been stepped, and the road surface unevenness.

The tachograph 22 measures the travel distance of the truck 12a, the travel speed of the truck 12a, and the travel time of the truck 12a. The acquisition and storage of data such as these are stipulated by laws and regulations depending on the vehicle such as a certain truck 12a or automobile. As the tachograph 22, for example, a digital tachograph is employed.

In the determination unit 23, any one of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the acceleration sensor 21 is set in advance in the X-direction and the Y-direction, assuming the occurrence of an accident in the track 12a. And whether it is within a warning range that is outside the range of acceleration in the Z direction.

FIG. 4 is a conceptual diagram showing a warning range. Referring to FIG. 4, a normal range 28a and a warning range 28b are defined based on data acquired by accident statistics or the like. The normal range 28a indicates a situation where the probability of an accident occurring is lower than a predetermined value, and is an acceleration range corresponding to a situation where a so-called safe driving is performed. The warning range 28b is derived from the acceleration at the time of accident statistics and the probability of occurrence of the accident. The acceleration included in the warning range 28b includes an acceleration corresponding to an acceleration value equal to or greater than a predetermined value. Further, there are positive and negative accelerations in the Y direction that are equal to or greater than a periodic predetermined value. This is presumed to be caused by the wobbling at the time of traveling of the truck 12a based on the driver's snoozing or the like of the truck 12a. Based on the relationship between the acceleration in the Y direction and the occurrence of an accident, for example, if the positive and negative acceleration in the Y direction equal to or greater than a predetermined value is equal to or greater than a predetermined period, the warning range 28b is set. If the positive and negative acceleration in the Z direction is equal to or greater than a predetermined period, it is assumed that the vehicle is traveling on a so-called rough road with a high degree of unevenness. Based on the relationship between the Z-direction acceleration and the occurrence of an accident, for example, if the positive and negative acceleration in the Y direction equal to or greater than a predetermined value is equal to or greater than a predetermined period, the warning range 28b is set.

The warning unit 24 issues a warning if the determination unit 23 determines that any of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration is within the warning range. Here, the warning to be issued is performed using a voice warning or a display of a warning message on a display screen included in the car navigation device. The warning content may also be changed according to the state of each acceleration. For example, when the road surface has a high degree of unevenness due to the acceleration in the Z direction and a warning is issued, the voice guidance “The road surface has large unevenness. Further, when issuing a warning based on the positive / negative repetition of the Y-direction acceleration, it is determined that it is due to the wobbling of the truck 12a based on the drowsy driving, and a warning is issued to make a loud sound in the vehicle.

Further, the first memory 25a stores data acquired by the acceleration sensor 21. The second memory 25b stores travel distance data, travel speed data, and travel time data measured by the tachograph 22. The third memory 25c stores data of determination results by the determination unit 23. The third memory 25c stores data related to the warning range 28b. These first to third memories 25a to 25c may be provided in one SD card. The SD card may be detachable from the track 12a.

By the communication unit 26, the track 12a can communicate with the management device 16 via the network 15 such as the Internet. That is, the communication unit 26 and the management device 16 are configured to be connectable. For example, the information and data of the track 12a are acquired and stored in the management device 16 through wireless communication by the communication unit 26. The management device 16 is provided, for example, in a management company that manages the operation of the truck 12a.

The management device 16 is provided at a position separated from the track 12a. The management device 16 includes a control unit 17 and a database 18 that stores data. The control unit 17 controls the management device 16 itself. The database 18 stores various data related to accident information. Here, the data in the normal range 28a and the warning range 28b are stored in the database 18, and the data may be periodically transmitted to the track 12a side through wireless communication while being constantly updated. .

Next, accident prediction and warning using the vehicle accident prediction system according to the embodiment of the present invention will be described. FIG. 5 is a flowchart showing typical steps of the vehicle accident prediction method according to the embodiment of the present invention.

Further, referring to FIG. 5, first, when the start of traveling of the truck 12 a by the driving of the driver is detected (in FIG. 5, YES in step S <b> 11, hereinafter “step” is omitted), in the vehicle acceleration acquisition step, The acceleration is acquired by the acceleration sensor 21 (S12). For acceleration, all accelerations in the X direction, Y direction, and Z direction are acquired. That is, the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration of the track 12a when the track 12a is traveling are acquired. At this time, travel information is acquired by the tachograph 22. That is, the travel distance, travel speed, and travel time of the truck 12a are acquired. The acquired acceleration data is stored in the first memory 25a. The acquired travel information data is stored in the second memory 25b.

Here, an example of the acquired acceleration will be described. FIG. 6 is a diagram illustrating a state in which the acceleration in the Y direction changes. FIG. 6 corresponds to FIG. Further referring to FIG. 6, the traveling truck 12a is like a truck 12d shown by a two-dot chain line after approaching the left end of the road 13a, that is, a negative direction in the Y direction, like a truck 12c shown by a one-dot chain line. When approaching the right end of the road 13a, that is, the positive direction in the Y direction, the acceleration in the Y direction changes from a negative value to a positive value in a relatively short time. If this change occurs periodically, it appears in the acquired Y-direction acceleration. In such a situation, there is a risk of meandering operation by the driver. That is, the situation is included in the warning range 28b. Even when the lane is suddenly changed from the road 13a to the road 13b, the acceleration in the Y direction changes greatly in a short time. Such driving is also highly dangerous and is included in the warning range 28b.

FIG. 7 is a diagram showing a state in which the acceleration in the Z direction changes. FIG. 7 corresponds to FIG. Referring to FIG. 7, when the degree of unevenness of road surface 14c of road 13c on which truck 12a travels is large, the positive acceleration in the Z direction and the acceleration in the negative direction alternately and periodically change. Such a situation is also included in the warning range 28b.

For such a situation, the acquired Y-direction acceleration and Z-direction acceleration are different from those during traveling in the situation shown in the normal range 28a.

Thereafter, in the determination step, it is determined whether or not the X direction acceleration, the Y direction acceleration, and the Z direction acceleration acquired by the determination unit 23 are within the warning range 28b. That is, the warning that the acquired X-direction acceleration, Y-direction acceleration, and Z-direction acceleration are outside the predetermined acceleration ranges in the X-direction, Y-direction, and Z-direction assuming the occurrence of an accident in the truck 12a. It is determined whether it is in the range 28b (S13).

Here, in the determination step, if the determination unit 23 determines that it is within the warning range 28b (YES in S13), the warning unit 24 issues a warning (S14). Specifically, first, the management device 16 issues a warning through the network 15 that is a communication line. Thereafter, a warning is issued to the other track 12b via the management device 16. For example, the information regarding the warning of the track 12a is shared between the track 12b and the management device 16, and the warning is issued so as to leave a space between the

tracks

12a and 12b. The determination result data is stored in the third memory 25c. If a stop of operation is detected (NO in S13, YES in S15), the process ends.

According to such an accident prediction system 11 for a vehicle, in addition to the acceleration in the X direction along the traveling direction of the truck 12a, the acceleration in the Y direction perpendicular to the X direction in the traveling surface, and the vehicle is perpendicular to the traveling surface. The acceleration in the Z direction is acquired, and it is determined whether these accelerations are in the warning range 28b. If it is within the warning range 28b, a warning is issued. In other words, not only the X direction that is the traveling direction of the track 12a but also the Y direction perpendicular to the X direction and the acceleration in the Z direction are used to determine whether or not the warning range 28b is present and issue a warning. it can. In this case, the location of the truck 12a is not particularly limited. Therefore, it is possible to accurately predict the occurrence of an accident and prevent the accident.

Further, according to the present embodiment, the warning unit 24 issues a warning based on the travel distance information of the truck 12a, the travel time information of the truck 12a, and the travel speed information acquired by the tachograph 22. Therefore, the occurrence of an accident can be predicted with higher accuracy from the acquired traveling information, and the accident can be prevented.

Further, according to the present embodiment, since the warning unit 24 issues a warning in the management device 16 through the communication line, the warning information in the management device 16 can be acquired, stored, and accumulated. Further, some accident prevention means can be taken from the management device 16 for the truck 12a for which the warning has been issued.

Further, according to the present embodiment, the warning unit 24 issues a warning to the other track 12b via the management device 16, so that the management device 16 manages the track 12a that issued the warning, for example, As described above, the guidance can be transmitted to the other truck 12b so as not to bring the other vehicle close to the truck 12a that has issued the warning from the management device 16. Therefore, the possibility that an accident will occur can be reduced.

In the above embodiment, the warning unit 24 issues a warning in the management device 16 through a communication line. However, the present invention is not limited to this, and a warning may be issued in the truck 12a. By doing so, a warning can be issued directly to the driver who drives the truck 12a in the truck 12a.

In the above embodiment, the warning unit 24 issues a warning to the other track 12b via the management device 16. However, the present invention is not limited to this, and the warning unit 24 sends the warning to the other track 12b. A warning may be issued directly. By doing so, a warning can be directly notified to another vehicle without going through the management device 16 or the like. If it does so, time reduction and efficiency at the time of issuing a warning can be aimed at. Therefore, it is possible to reduce the possibility of an accident occurring efficiently. In this case, a voice warning may be issued directly to another vehicle, or a vehicle equipped with the same vehicle accident prediction system 11 may be communicated to another vehicle using a communication line. A warning may be issued from the installed vehicle accident prediction system 11. Specifically, the warning unit 24 issues a warning message “Please do not approach this vehicle” with a certain amount of sound toward the outside of the truck 12a.

In the above embodiment, the warning unit 24 shakes the track 12a in the X direction when the track 12a is derived from the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the acceleration sensor 21. The warning may be changed by changing the content of the warning according to the shaking in the Y direction and the shaking in the Z direction. By doing this, for example, a risk caused by a shake based on a periodic change in acceleration, a shake caused by a shake based on repeated changes in acceleration, or a shake based on a minute change in acceleration. More appropriate warnings can be issued in response to low shaking.

In the above embodiment, the truck 12a further includes a physical information detection unit that detects physical information of the driver who drives the truck 12a, and the warning unit 24 is a driving detected by the physical information detection unit. A warning may be issued based on the person's physical information. By doing so, a warning can be appropriately issued based on the physical condition of the driver of the truck 12a. Specifically, for example, a wearable device capable of detecting a driver's heart rate, pulse rate, blood pressure, respiration rate, and the like and capable of being attached to the body and provided in the truck 12a is prepared. Wear the wearable terminal body information.

In the above-described embodiment, the truck 12a is an accelerator work in which the driver of the truck 12a controls the acceleration in the traveling direction of the truck 12a by adjusting the opening of the accelerator when the truck 12a travels. An accelerator work information acquisition unit that acquires information may be further provided, and the warning unit 24 may issue a warning based on the accelerator work information acquired by the accelerator work information acquisition unit. By doing so, it is possible to determine whether or not it is based on the accelerator work and issue a warning. For obtaining specific accelerator work information, one or more infrared sensors for detecting the angle of the accelerator pedal are installed in the vicinity of the accelerator pedal. And the angle of an accelerator pedal is detected with the installed infrared sensor, and the information of an accelerator work is derived | led-out.

In the above embodiment, the acceleration sensor 21 may be mounted on the tachograph 22. That is, in the above-described embodiment, the acceleration sensor 21 and the tachograph 22 may be combined. By doing so, the space in the track 12a can be saved and the prediction accuracy can be increased efficiently. Further, the tachograph 22 may be configured to include the determination unit 23 and the warning unit 24 described above.

In the above embodiment, the track 12a may include a car navigation device that performs route guidance of the track 12a, and the acceleration sensor 21 may be mounted on the car navigation device. By doing so, the driver can be notified of the warning more efficiently.

In the above-described embodiment, the vehicle accident prediction system 11 is configured to include the management device 16, but is not limited thereto, and may be configured not to include the management device 16. Further, data may be periodically transferred from the first memory 25a, the second memory 25b, and the third memory 25c to the management device 16 side, and the data may be used when updating the warning area. In the determination by the determination unit 23, the travel time, travel distance, and travel speed of the truck 12a need not be considered.

It should be understood that the embodiment disclosed herein is illustrative in all respects and is not restrictive in any way. The scope of the present invention is defined by the scope of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the scope of the claims.

The vehicle accident prediction system and the vehicle accident prediction method according to the present invention are particularly effectively used when it is required to realize accident prevention by accurately predicting the occurrence of an accident.

Claims

A vehicle accident prediction system for predicting a vehicle accident,
An X-direction acceleration that is an acceleration along the traveling direction of the vehicle, a Y-direction acceleration that is an acceleration in the Y direction perpendicular to the X direction in the traveling surface on which the vehicle travels, and a Z direction that is perpendicular to the traveling surface A vehicle acceleration acquisition unit that acquires the acceleration in the Z direction that is the acceleration of
Any of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the vehicle acceleration acquisition unit is determined in advance in the X direction, assuming the occurrence of an accident of the vehicle, A determination unit that determines whether or not a warning range that is outside a range of acceleration in the Y direction and the Z direction;
A vehicle accident prediction system comprising: a warning unit that issues a warning if any one of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration is within the warning range by the determination unit.
The vehicle accident prediction system according to claim 1, wherein the warning unit issues the warning in the vehicle.
A management device provided at a position separated from the vehicle, capable of communicating with the vehicle, and managing the traveling of the vehicle;
The vehicle accident prediction system according to claim 1, wherein the warning unit issues the warning of the vehicle in the management device through a communication line.
The vehicle warning prediction system according to claim 3, wherein the warning unit issues the warning to the other vehicle via the management device.
The vehicle accident prediction system according to any one of claims 1 to 3, wherein the warning unit directly issues the warning to the other vehicle.
A travel information acquisition unit that acquires information on a travel distance of the vehicle, information on a travel time of the vehicle, and information on a travel speed of the vehicle;
The warning unit issues the warning based on information on a travel distance of the vehicle, information on a travel time of the vehicle, and information on a travel speed of the vehicle acquired by the travel information acquisition unit. The vehicle accident prediction system according to any one of claims 5 to 6.
The warning unit includes the X-direction vibration of the vehicle during the traveling of the vehicle derived from the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration acquired by the vehicle acceleration acquisition unit, and the Y The vehicle accident prediction system according to any one of claims 1 to 6, wherein the warning is issued by changing a content of the warning in accordance with a swing in a direction and a swing in the Z direction.
A physical information detection unit for detecting physical information of a driver driving the vehicle;
The vehicle accident prediction system according to any one of claims 1 to 7, wherein the warning unit issues the warning based on the driver's physical information detected by the physical information detection unit.
The vehicle further comprises an accelerator work information acquisition unit that acquires information on accelerator work in a state in which the driver of the vehicle adjusts the accelerator opening to control acceleration in the traveling direction of the vehicle when the vehicle is traveling.
The vehicle accident prediction system according to any one of claims 1 to 8, wherein the warning unit issues the warning based on the information on the accelerator work acquired by the accelerator work information acquisition unit.
The vehicle includes a tachograph,
The vehicle accident prediction system according to any one of claims 1 to 9, wherein the vehicle acceleration acquisition unit is mounted on the tachograph.
The vehicle includes a car navigation device that provides route guidance for the vehicle,
The vehicle accident prediction system according to any one of claims 1 to 9, wherein the vehicle acceleration acquisition unit is mounted on the car navigation device.
A vehicle accident prediction method for predicting a vehicle accident,
An X-direction acceleration that is an acceleration along the traveling direction of the vehicle, a Y-direction acceleration that is an acceleration in the Y direction perpendicular to the X direction in the traveling surface on which the vehicle travels, and a Z direction that is perpendicular to the traveling surface Obtaining a Z-direction acceleration which is an acceleration of
Any of the acquired X-direction acceleration, Y-direction acceleration, and Z-direction acceleration acquired is determined in advance assuming the occurrence of an accident in the vehicle. The X direction, the Y direction, and the Z direction Determining whether it is within a warning range that is outside the range of acceleration in the direction;
A vehicle accident prediction method comprising: issuing a warning if any of the X-direction acceleration, the Y-direction acceleration, and the Z-direction acceleration is determined to be within the warning range.