WO2018158862A1 - Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule - Google Patents

Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule Download PDF

Info

Publication number
WO2018158862A1
WO2018158862A1 PCT/JP2017/008003 JP2017008003W WO2018158862A1 WO 2018158862 A1 WO2018158862 A1 WO 2018158862A1 JP 2017008003 W JP2017008003 W JP 2017008003W WO 2018158862 A1 WO2018158862 A1 WO 2018158862A1
Authority
WO
WIPO (PCT)
Prior art keywords
vehicle
acceleration
warning
prediction system
information
Prior art date
Application number
PCT/JP2017/008003
Other languages
English (en)
Japanese (ja)
Inventor
修平 茅野
Original Assignee
株式会社イージステクノロジーズ
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社イージステクノロジーズ filed Critical 株式会社イージステクノロジーズ
Priority to PCT/JP2017/008003 priority Critical patent/WO2018158862A1/fr
Publication of WO2018158862A1 publication Critical patent/WO2018158862A1/fr

Links

Images

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems

Definitions

  • the present invention relates to a vehicle accident prediction system and a vehicle accident prediction method.
  • 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.
  • 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.
  • a monitoring device identifies the imaged vehicle, tracks the identified vehicle, and determines the driving characteristics of the vehicle. It is said.
  • 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.
  • 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.
  • 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 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the warning may be changed and the warning may be issued.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the vehicle accident prediction method having such a configuration, it is possible to accurately predict the occurrence of an accident and prevent the accident.
  • FIG. 1 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.
  • FIG. 1 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.
  • FIG. 1 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.
  • FIG. 1 A block diagram which shows the structure of the accident prediction system for vehicles shown in FIG.
  • 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.
  • 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.
  • a vehicle accident prediction system 11 is a vehicle accident prediction system that predicts an accident of a first truck 12a as a vehicle.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • a digital tachograph is employed as the tachograph 22.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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. .
  • FIG. 5 is a flowchart showing typical steps of the vehicle accident prediction method according to the embodiment of the present invention.
  • step S 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).
  • 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.
  • 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.
  • FIG. 6 is a diagram illustrating a state in which the acceleration in the Y direction changes.
  • FIG. 6 corresponds to FIG.
  • 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.
  • 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.
  • 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.
  • the acquired Y-direction acceleration and Z-direction acceleration are different from those during traveling in the situation shown in the normal range 28a.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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.
  • the warning unit 24 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.
  • 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.
  • the warning unit 24 issues a warning in the management device 16 through a communication line.
  • 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.
  • the warning unit 24 issues a warning to the other track 12b via the management device 16.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un système de prévision des accidents (11) pour un véhicule pourvu d'une unité d'acquisition d'accélération de véhicule (21), d'une unité de détermination (23) et d'une unité d'avertissement (24). L'unité d'acquisition d'accélération de véhicule (21) acquiert une accélération de direction X dans la direction de déplacement lorsqu'un véhicule se déplace, une accélération de direction Y qui est une accélération dans une direction Y qui est perpendiculaire à la direction X dans une surface de déplacement sur laquelle le véhicule se déplace, et une accélération de direction Z qui est une accélération dans une direction Z qui est perpendiculaire à la surface de déplacement. L'unité de détermination (23) détermine laquelle de l'accélération de direction X, de l'accélération de direction Y et de l'accélération de direction Z acquises par l'unité d'acquisition d'accélération de véhicule (21) se trouve dans une plage d'avertissement qui n'entre pas dans les plages d'accélération de la direction X, de la direction Y et de la direction Z, les plages d'accélération ayant été prédéterminées en supposant un accident de véhicule s'est produite. L'unité d'avertissement (24) émet un avertissement lorsqu'il est déterminé par l'unité de détermination (23) que l'une quelconque parmi l'accélération de direction X, l'accélération de direction Y et l'accélération de direction Z n'entre pas dans la plage d'avertissement.
PCT/JP2017/008003 2017-02-28 2017-02-28 Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule WO2018158862A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/JP2017/008003 WO2018158862A1 (fr) 2017-02-28 2017-02-28 Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2017/008003 WO2018158862A1 (fr) 2017-02-28 2017-02-28 Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule

Publications (1)

Publication Number Publication Date
WO2018158862A1 true WO2018158862A1 (fr) 2018-09-07

Family

ID=63370427

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2017/008003 WO2018158862A1 (fr) 2017-02-28 2017-02-28 Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule

Country Status (1)

Country Link
WO (1) WO2018158862A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020177285A (ja) * 2019-04-15 2020-10-29 株式会社デンソー データ収集方法、データ収集システム、およびサーバ装置
CN111942305A (zh) * 2019-05-14 2020-11-17 奥迪股份公司 车辆中的防溢装置、包括其的车辆以及相应的方法和介质

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001116564A (ja) * 1999-10-15 2001-04-27 Toshiba Corp 移動通信システム
JP2008090663A (ja) * 2006-10-03 2008-04-17 Denso Corp 車車間通信システム
WO2010134548A1 (fr) * 2009-05-20 2010-11-25 オプテックス株式会社 Procédé et dispositif d'assistance à la conduite
WO2011071177A1 (fr) * 2009-12-11 2011-06-16 オプテックス株式会社 Procédé et dispositif de détection de comportement de conduite
JP2012243165A (ja) * 2011-05-20 2012-12-10 Fujitsu Ltd 情報提供方法及び情報提供装置
JP2014038628A (ja) * 2012-08-20 2014-02-27 Loc&All Inc ２次衝突事故防止のための事故お知らせシステム
JP2015513330A (ja) * 2012-01-13 2015-05-07 パルス ファンクション エフ６ リミテッド ３ｄ慣性センサ付きテレマティクス・システム
JP2016007989A (ja) * 2014-06-26 2016-01-18 クラリオン株式会社 車両制御装置及び車両制御方法
JP2016091165A (ja) * 2014-10-31 2016-05-23 株式会社ユピテル 装置及びプログラム
JP2016170485A (ja) * 2015-03-11 2016-09-23 株式会社リコー 警告装置、移動体及び警告方法

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001116564A (ja) * 1999-10-15 2001-04-27 Toshiba Corp 移動通信システム
JP2008090663A (ja) * 2006-10-03 2008-04-17 Denso Corp 車車間通信システム
WO2010134548A1 (fr) * 2009-05-20 2010-11-25 オプテックス株式会社 Procédé et dispositif d'assistance à la conduite
WO2011071177A1 (fr) * 2009-12-11 2011-06-16 オプテックス株式会社 Procédé et dispositif de détection de comportement de conduite
JP2012243165A (ja) * 2011-05-20 2012-12-10 Fujitsu Ltd 情報提供方法及び情報提供装置
JP2015513330A (ja) * 2012-01-13 2015-05-07 パルス ファンクション エフ６ リミテッド ３ｄ慣性センサ付きテレマティクス・システム
JP2014038628A (ja) * 2012-08-20 2014-02-27 Loc&All Inc ２次衝突事故防止のための事故お知らせシステム
JP2016007989A (ja) * 2014-06-26 2016-01-18 クラリオン株式会社 車両制御装置及び車両制御方法
JP2016091165A (ja) * 2014-10-31 2016-05-23 株式会社ユピテル 装置及びプログラム
JP2016170485A (ja) * 2015-03-11 2016-09-23 株式会社リコー 警告装置、移動体及び警告方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2020177285A (ja) * 2019-04-15 2020-10-29 株式会社デンソー データ収集方法、データ収集システム、およびサーバ装置
JP7159959B2 (ja) 2019-04-15 2022-10-25 株式会社デンソー データ収集システム、およびサーバ装置
CN111942305A (zh) * 2019-05-14 2020-11-17 奥迪股份公司 车辆中的防溢装置、包括其的车辆以及相应的方法和介质

Similar Documents

Publication Publication Date Title
CN111361552B (zh) 自动驾驶系统
CN105799617B (zh) 用于确定物体传感器的未对准的方法
US9862315B2 (en) Driver coaching from vehicle to vehicle and vehicle to infrastructure communications
JP2013084236A (ja) 車両位置情報基盤の非正常運転判定及び警報システム
US9047773B2 (en) Exceptional road-condition warning device, system and method for a vehicle
US20120245758A1 (en) Driving behavior detecting method and apparatus
JP5230005B2 (ja) 安全運転評価システム
CN109435954B (zh) 车辆控制装置
JP2006227905A (ja) 車両用情報報知装置
JP6318785B2 (ja) 車両情報処理システム
JP2010125923A (ja) 緊急退避装置
JP5587465B2 (ja) 車両の安全運転促進システム
EP3736181A2 (fr) Authentification biométrique de conducteur automobile et services gps
JP2010079665A (ja) 車載装置とこれを用いた車両の安全運転促進システム
JP7247592B2 (ja) 異常検出装置、異常検出プログラム、異常検出方法及び異常検出システム
CN111161551B (zh) 用于检测、警报和响应紧急车辆的设备、系统和方法
JP2018142334A (ja) 車両情報処理システム、車載装置及び情報処理装置
US10977882B1 (en) Driver health profile
JP2012190398A (ja) 車両用ハザードマップ作成方法
JP2017058773A (ja) 交通情報提供システム、交通情報提供装置及び車載通信装置
JP2007066179A (ja) 車両用運転支援装置
WO2018158862A1 (fr) Système de prévision des accidents pour véhicule et procédé de prévision des accidents pour véhicule
JP2019216348A (ja) 電子制御装置および電子制御システム
JP2006252148A (ja) 車両用制御装置
JP4696831B2 (ja) 車両用運転支援装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 17899011

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 17899011

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: JP