JP2001071833A - Information notifying device for vehicle - Google Patents

Information notifying device for vehicle

Info

Publication number
JP2001071833A
JP2001071833A JP25419099A JP25419099A JP2001071833A JP 2001071833 A JP2001071833 A JP 2001071833A JP 25419099 A JP25419099 A JP 25419099A JP 25419099 A JP25419099 A JP 25419099A JP 2001071833 A JP2001071833 A JP 2001071833A
Authority
JP
Japan
Prior art keywords
driving
vehicle
characteristic
driver
information
Prior art date
Legal status (The legal status 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 status listed.)
Granted
Application number
JP25419099A
Other languages
Japanese (ja)
Other versions
JP4300339B2 (en
Inventor
Masaaki Kobayashi
雅明 小林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nissan Motor Co Ltd
Original Assignee
Nissan Motor Co Ltd
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 Nissan Motor Co Ltd filed Critical Nissan Motor Co Ltd
Priority to JP25419099A priority Critical patent/JP4300339B2/en
Publication of JP2001071833A publication Critical patent/JP2001071833A/en
Application granted granted Critical
Publication of JP4300339B2 publication Critical patent/JP4300339B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Landscapes

  • Auxiliary Drives, Propulsion Controls, And Safety Devices (AREA)

Abstract

PROBLEM TO BE SOLVED: To notify information on driving of a vehicle only when necessary. SOLUTION: This information notifying device for a vehicle is provided with a driving operation detecting means 3 for detecting the driving operation of a driver; a driving characteristic computing means 5b for computing the driving characteristic of the driver on the basis of the detected driving operation; driving characteristic recording means 6b, 7b for recording the driving characteristic of the driver; a driving characteristic change detecting means 5c for comparing the present driving characteristic with the past driving characteristic to detect the change of the driving characteristic; a notification necessity judging means 5c for judging the necessity of notifying the driver of information on driving on the basis of the change of the driving characteristic; and information notifying means 5c, 8 for notifying the information on driving with contents and by a method corresponding to the necessity of notifying the information. Unnecessary notification of information carried out in a conventional device is thereby prevented to notify accurate, effective information corresponding to the driving characteristic of the driver.

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【発明の属する技術分野】本発明は、車両の運転に関す
る情報を報知する車両用情報報知装置に関する。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a vehicle information notifying device for notifying information on driving of a vehicle.

【0002】[0002]

【従来の技術】住宅密集地、スクールゾーン、事故多発
区間など、特に安全運転を心がける必要がある地域を走
行する場合に、スロットルバルブ開度や発進時の変速機
シフト位置などを制限するとともに、警報を発するよう
にした安全運転支援装置が知られている(例えば、特開
平8−326573号公報参照)。
2. Description of the Related Art When driving in areas such as densely populated houses, school zones, and accident-prone sections, particularly where safe driving is required, the throttle valve opening and the transmission shift position at the time of starting are restricted. 2. Description of the Related Art There is known a safe driving support device that emits an alarm (for example, see Japanese Patent Application Laid-Open No. 8-326573).

【0003】[0003]

【発明が解決しようとする課題】しかしながら、上述し
た従来の安全運転支援装置では、安全運転地域を走行す
る場合には必ず警報が発せられるため、例えば歩行者の
多い区域を日常的に運転する場合や、運転者自身の判断
により安全な運転をしている場合でも、不必要に警報が
発せられてしまい、乗員に不快感を与える上に、警報慣
れにより必要な場合の警報の効果が低くなるという問題
がある。
However, in the above-described conventional safe driving support device, an alarm is always issued when driving in a safe driving area. Also, even when driving safely according to the driver's own judgment, an alarm is issued unnecessarily, causing discomfort to the occupant and reducing the effect of the alarm when necessary due to familiarity with the alarm There is a problem.

【0004】本発明の目的は、必要な場合にのみ、車両
の運転に関する情報を報知する車両用情報報知装置を提
供することにある。
[0004] It is an object of the present invention to provide a vehicle information notifying device for notifying information on the operation of a vehicle only when necessary.

【0005】[0005]

【課題を解決するための手段】一実施の形態の構成を示
す図1に対応づけて請求項1の発明を説明すると、 (1) 請求項1の発明は、運転者の運転操作を検出す
る運転操作検出手段3と、検出した運転操作に基づいて
運転者の運転特性を算出する運転特性算出手段5bと、
運転者の運転特性を記録する運転特性記録手段6b、7
bと、現在の運転特性と過去の運転特性とを比較して運
転特性の変化を検出する運転特性変化検出手段5cと、
運転特性の変化に基づいて運転に関する情報を運転者に
報知する必要性を判定する報知必要性判定手段5cと、
情報報知の必要性に応じた内容と方法で運転に関する情
報を報知する情報報知手段5c,8とを備える。 (2) 請求項2の車両用情報報知装置は、運転特性算
出手段5bによって、運転者の運転特性として、運転者
の精神状態を示す精神状況特性値と、障害物と走行環境
の少なくとも一方に対する運転者の反応を示す反応状況
特性値とを算出し、報知必要性判定手段5cによって、
精神状況特性値と反応状況特性値に基づいて情報報知の
必要性を判定するようにしたものである。 (3) 請求項3の車両用情報報知装置は、運転特性算
出手段5bによって、運転者の運転特性として、運転者
の精神状態を示す精神状況特性値と、障害物と走行環境
の少なくとも一方に対する運転者の反応を示す反応状況
特性値とを算出し、報知必要性判定手段5cによって、
精神状況特性値および反応状況特性値をそれぞれのしき
い値と比較し、それらの比較結果に基づいて情報報知の
必要性を判定するようにしたものである。 (4) 請求項4の車両用情報報知装置は、車両の現在
地を検出する現在地検出手段1と、車両の挙動を検出す
る車両挙動検出手段2と、車両挙動検出値が所定値を越
える車両の緊急状態を検出する緊急状態検出手段5a
と、緊急状態発生場所および緊急状態発生時刻を記録す
る緊急状態記録手段6a、7aとを備え、報知必要性判
定手段5cによって、緊急状態発生場所、緊急状態発生
時刻、現在地および車両挙動を考慮して情報報知の必要
性を判定するようにしたものである。 (5) 請求項5の車両用情報報知装置は、報知必要性
判定手段5cによって、緊急状態記録手段6a,7aの
緊急状態記録量が多いほど情報報知の必要性を高く判定
するようにしたものである。 (6) 請求項6の車両用情報報知装置は、精神状況特
性値に、車両の最高速度、平均速度、平均減速度、急加
速頻度、平均車間時間、クラクション頻度、平均運転時
間が含まれ、反応状況特性値に、急減速頻度、平均ブレ
ーキ余裕時間、平均ペダル踏み替え時間、平均操舵余裕
時間、平均操舵加速度ピーク値時間間隔が含まれる。 (7) 請求項7の車両用情報報知装置は、車両の走行
環境に、雨天走行、昼間走行、夜間走行が含まれる。
Means for Solving the Problems The invention of claim 1 will be described with reference to FIG. 1 showing the configuration of an embodiment. (1) The invention of claim 1 detects a driving operation of a driver Driving operation detecting means 3, driving characteristic calculating means 5b for calculating driving characteristics of the driver based on the detected driving operation,
Driving characteristic recording means 6b, 7 for recording the driving characteristics of the driver
b, operating characteristic change detecting means 5c for comparing the current operating characteristic with the past operating characteristic to detect a change in the operating characteristic,
A notification necessity determining unit 5c that determines a necessity of notifying the driver of information on driving based on a change in the driving characteristics;
It has information notifying means 5c and 8 for notifying information about driving by contents and methods according to the necessity of information notification. (2) In the vehicle information notifying device according to the second aspect, the driving characteristic calculating means 5b determines, as driving characteristics of the driver, a mental state characteristic value indicating a mental state of the driver, and at least one of an obstacle and a driving environment. A reaction situation characteristic value indicating the driver's reaction is calculated, and the notification necessity determination unit 5c calculates
The necessity of information notification is determined based on the mental situation characteristic value and the reaction situation characteristic value. (3) In the vehicle information notifying device according to the third aspect, the driving characteristic calculating unit 5b determines, as driving characteristics of the driver, a mental state characteristic value indicating a mental state of the driver, and at least one of an obstacle and a driving environment. A reaction situation characteristic value indicating the driver's reaction is calculated, and the notification necessity determination unit 5c calculates
The mental situation characteristic value and the reaction situation characteristic value are compared with respective threshold values, and the necessity of information notification is determined based on the comparison result. (4) A vehicle information notifying device according to a fourth aspect of the present invention includes a current position detecting means 1 for detecting a current position of the vehicle, a vehicle behavior detecting means 2 for detecting a behavior of the vehicle, and a vehicle behavior detecting value of a vehicle whose vehicle behavior detected value exceeds a predetermined value. Emergency state detection means 5a for detecting an emergency state
And emergency state recording means 6a and 7a for recording an emergency state occurrence place and an emergency state occurrence time. The notification necessity determination means 5c considers the emergency state occurrence place, the emergency state occurrence time, the current location and the vehicle behavior. Thus, the necessity of information notification is determined. (5) The vehicle information notification device according to claim 5, wherein the notification necessity determining means 5c determines the necessity of information notification as the emergency state recording amount of the emergency state recording means 6a, 7a increases. It is. (6) In the vehicle information notification device according to claim 6, the mental condition characteristic value includes a maximum speed, an average speed, an average deceleration, a rapid acceleration frequency, an average inter-vehicle time, a horn frequency, and an average driving time of the vehicle, The response situation characteristic value includes a sudden deceleration frequency, an average brake allowance time, an average pedal change time, an average steering allowance time, and an average steering acceleration peak value time interval. (7) In the vehicle information notification device according to claim 7, the traveling environment of the vehicle includes rainy weather traveling, daytime traveling, and nighttime traveling.

【0006】上述した課題を解決するための手段の項で
は、説明を分かりやすくするために一実施の形態の図を
用いたが、これにより本発明が一実施の形態に限定され
るものではない。
In the section of the means for solving the above-described problem, a diagram of one embodiment is used for easy understanding of the description, but the present invention is not limited to this embodiment. .

【0007】[0007]

【発明の効果】(1) 請求項1の発明によれば、運転
者の運転操作に基づいて運転特性を算出、記録し、現在
の運転特性と過去の運転特性とを比較して運転特性の変
化を検出する。そして、運転特性の変化に基づいて運転
に関する情報を運転者に報知する必要性を判定し、情報
報知の必要性に応じた内容と方法で運転に関する情報を
報知するようにしたので、従来装置のような不必要な情
報報知が防止され、運転者の運転特性に応じた的確で且
つ効果的な情報報知を行うことができ、高い情報報知効
果を得ることができる。 (2) 請求項2の発明によれば、運転者の運転特性と
して、運転者の精神状態を示す精神状況特性値と、障害
物と走行環境の少なくとも一方に対する運転者の反応を
示す反応状況特性値とを算出し、精神状況特性値と反応
状況特性値に基づいて情報報知の必要性を判定するよう
にしたので、運転者の運転特性を正確に分析することが
でき、請求項1の上記効果をさらに高めることができ
る。 (3) 請求項3の発明によれば、運転者の運転特性と
して、運転者の精神状態を示す精神状況特性値と、障害
物と走行環境の少なくとも一方に対する運転者の反応を
示す反応状況特性値とを算出し、精神状況特性値および
反応状況特性値をそれぞれのしきい値と比較し、それら
の比較結果に基づいて情報報知の必要性を判定するよう
にしたので、運転者の運転特性を正確に分析することが
でき、請求項1の上記効果をさらに高めることができる
上に、運転者ごとにより効果的で且つきめ細かな情報報
知を行うことができる。 (4) 請求項4の発明によれば、車両の緊急状態を検
出、記録し、緊急状態発生場所、緊急状態発生時刻、現
在地および車両挙動を考慮して情報報知の必要性を判定
するようにしたので、請求項1〜3の上記効果に加え、
走行環境に応じた的確で且つ効果的な情報報知を行うこ
とができる。 (5) 請求項5の発明によれば、緊急状態記録要素を
多くしたため、情報の必要性を高く判定することがで
き、より正確な情報提供を行うことができる。 (6) 請求項6の発明によれば、精神状況特性値とし
て最高速、加減速度、クラクション頻度などを用いると
ともに、反応状況特性値としてペダル踏み替え時間、操
舵余裕時間などを用いたため、より正確な判定を行うこ
とができる。 (7) 請求項7の発明によれば、走行環境として天
候、昼夜の区別を用いたため、なお一層の正確な判定を
行うことができる。
(1) According to the invention of claim 1, the driving characteristics are calculated and recorded based on the driving operation of the driver, and the current driving characteristics and the past driving characteristics are compared to determine the driving characteristics. Detect changes. Then, the necessity of informing the driver of information on driving based on the change in driving characteristics is determined, and the information on driving is notified by the content and method according to the necessity of information notification. Such unnecessary information notification can be prevented, accurate and effective information notification according to the driving characteristics of the driver can be performed, and a high information notification effect can be obtained. (2) According to the invention of claim 2, as the driving characteristics of the driver, a mental status characteristic value indicating a mental state of the driver, and a reaction status characteristic indicating a response of the driver to at least one of an obstacle and a driving environment. The value is calculated, and the necessity of information notification is determined based on the mental situation characteristic value and the reaction situation characteristic value, so that the driving characteristic of the driver can be accurately analyzed. The effect can be further enhanced. (3) According to the invention of claim 3, as the driving characteristics of the driver, a mental situation characteristic value indicating the mental state of the driver, and a reaction situation characteristic indicating the reaction of the driver to at least one of the obstacle and the driving environment. Values, the mental situation characteristic value and the reaction situation characteristic value are compared with the respective threshold values, and the necessity of information notification is determined based on the comparison result. Can be accurately analyzed, the above-described effect of claim 1 can be further enhanced, and more effective and detailed information notification can be performed for each driver. (4) According to the invention of claim 4, the emergency state of the vehicle is detected and recorded, and the necessity of information notification is determined in consideration of the emergency location, the emergency time, the current location, and the vehicle behavior. Therefore, in addition to the above effects of claims 1 to 3,
It is possible to perform accurate and effective information notification according to the traveling environment. (5) According to the invention of claim 5, since the number of emergency state recording elements is increased, the necessity of information can be determined to be high, and more accurate information provision can be performed. (6) According to the sixth aspect of the present invention, the maximum speed, acceleration / deceleration, horn frequency, and the like are used as the mental situation characteristic values, and the pedal depressing time, the steering allowance time, and the like are used as the reaction situation characteristic values. Can be determined. (7) According to the invention of claim 7, the distinction between the weather and day and night is used as the traveling environment, so that a more accurate determination can be made.

【0008】[0008]

【発明の実施の形態】図1に一実施の形態の構成を示
す。GPS受信機1は衛星航法により走行環境である車
両の現在位置を検出する現在位置検出手段を構成してい
る。車両信号検出装置2は、各種センサーにより検出し
た車速、車両の前後方向および横方向の加減速度、ヨー
レートなどの検出信号や、警告灯の点消灯などの制御信
号を出力し、車両挙動検出手段を形成している。これら
の検出信号や制御信号によって、後述する緊急状態など
の車両の挙動を検出できる。
FIG. 1 shows a configuration of an embodiment. The GPS receiver 1 constitutes a current position detecting means for detecting a current position of a vehicle which is a driving environment by satellite navigation. The vehicle signal detection device 2 outputs control signals such as a vehicle speed detected by various sensors, acceleration / deceleration in the front-rear direction and lateral direction of the vehicle, a yaw rate, and a control signal such as turning on / off a warning light. Has formed. With these detection signals and control signals, the behavior of the vehicle such as an emergency state described later can be detected.

【0009】また操作信号検出装置3は、各種センサー
により検出したアクセル開度、ブレーキ液圧、操舵角速
度などの検出信号や、ランプ類、ターンシグナル、シフ
ト位置、ワイパーなどの車両操作部材の操作信号を出力
する。これらの操作信号によって、運転者の運転操作に
関する特性や、夜間走行、雨天走行などの走行環境を検
出でき、運転操作検出手段を形成している。車間距離検
出装置4は、レーザーレーダーやステレオカメラなどに
より障害物である先行車の検出と車間距離を測定する。
The operation signal detecting device 3 detects signals such as accelerator opening, brake fluid pressure, and steering angular velocity detected by various sensors, and operation signals of vehicle operating members such as lamps, turn signals, shift positions, and wipers. Is output. With these operation signals, characteristics relating to the driver's driving operation and driving environments such as night driving and rainy weather driving can be detected, forming driving operation detecting means. The inter-vehicle distance detecting device 4 detects a preceding vehicle which is an obstacle and measures the inter-vehicle distance by using a laser radar, a stereo camera, or the like.

【0010】信号処理コントローラー5はマイクロコン
ピューターとROM、RAM、A/Dコンバーターなど
周辺部品(不図示)からなり、マイクロコンピューター
のソフトウエア形態により構成した緊急状態検出部5
a、信号処理部5bおよび情報報知判断部5cを有す
る。
The signal processing controller 5 comprises a microcomputer and peripheral parts (not shown) such as a ROM, a RAM and an A / D converter.
a, a signal processing unit 5b and an information notification determination unit 5c.

【0011】緊急状態検出部5aは、GPS受信機1、
車両信号検出装置2、操作信号検出装置3および車間距
離検出装置4から入力した各種信号に基づいて、車両の
挙動が異常な状態、すなわち車両の挙動が所定値を越え
る状態を緊急状態として検出する緊急状態検出手段を構
成している。
[0011] The emergency state detection unit 5a includes a GPS receiver 1,
Based on various signals input from the vehicle signal detection device 2, the operation signal detection device 3, and the inter-vehicle distance detection device 4, a state in which the behavior of the vehicle is abnormal, that is, a state in which the behavior of the vehicle exceeds a predetermined value, is detected as an emergency state. It constitutes an emergency state detecting means.

【0012】この実施の形態では、車両前後方向の減
速度が所定値、例えば0.8Gを越えた場合、操舵角
速度のピーク値時間間隔が所定値、例えば0.3sec以
下になった場合、車両横方向の加速度が所定値、例え
ば0.8Gを越えた場合、ヨーレートが所定値、例え
ば100deg/secを越えた場合を緊急状態とする。
In this embodiment, when the deceleration in the vehicle longitudinal direction exceeds a predetermined value, for example, 0.8 G, when the peak value time interval of the steering angular velocity becomes a predetermined value, for example, 0.3 sec or less, the vehicle When the lateral acceleration exceeds a predetermined value, for example, 0.8 G, an emergency state is set when the yaw rate exceeds a predetermined value, for example, 100 deg / sec.

【0013】なお、操舵角速度のピーク値時間間隔と
は、図2に示すように、操舵角速度の正側または負側の
隣接するピーク値間の時間T1,T2,・・である。こ
の操舵角速度のピーク値時間間隔が短いほど、運転者の
ステアリング操作が急激に行われたことを示す。
The peak value time interval of the steering angular velocity is, as shown in FIG. 2, the time T1, T2,... Between adjacent peak values on the positive or negative side of the steering angular velocity. The shorter the peak value time interval of the steering angular velocity, the quicker the driver's steering operation was performed.

【0014】信号処理部5bは、GPS受信機1、車両
信号検出装置2、操作信号検出装置3および車間距離検
出装置4から入力した各種信号に基づいて、表1に示す
ような運転者の運転操作に関する特性値を算出し、運転
特性算出手段を構成している。
The signal processing unit 5b is adapted to drive the driver as shown in Table 1 based on various signals input from the GPS receiver 1, the vehicle signal detector 2, the operation signal detector 3, and the inter-vehicle distance detector 4. A characteristic value relating to the operation is calculated to constitute a driving characteristic calculating means.

【表1】 [Table 1]

【0015】表1において、運転特性値1〜7は運転者
の精神状態を示す特性値sn(n=1〜7)であり、こ
れらの精神状況特性値snに基づいて運転者の精神状態
が安全運転を行うのに好ましい状態にあるかどうかを判
断する。なお、精神状況特性値s4の急加速率は加速時
に急加速を行った頻度を示し、(急加速回数)/(全加
速回数)である。特性値s5の平均車間時間は(先行車
との車間距離)/(先行車との相対速度)の平均値であ
る。
In Table 1, driving characteristic values 1 to 7 are characteristic values sn (n = 1 to 7) indicating the mental state of the driver, and the mental state of the driver is determined based on these mental state characteristic values sn. It is determined whether the vehicle is in a state favorable for safe driving. The rapid acceleration rate of the mental condition characteristic value s4 indicates the frequency of rapid acceleration during acceleration, and is (number of times of rapid acceleration) / (total number of times of acceleration). The average inter-vehicle time of the characteristic value s5 is the average value of (inter-vehicle distance to preceding vehicle) / (relative speed to preceding vehicle).

【0016】一方、運転特性値8〜12は先行車を含む
障害物や走行環境に対する運転者の反応を示す特性値r
n(n=8〜12)であり、これらの反応状況特性値r
nに基づいて運転者の反応状況が安全運転を行うのに好
ましい状態にあるかどうかを判断する。なお、反応状況
特性値r8の急減速率は減速時に急減速を行った頻度を
示し、(急減速の回数)/(全減速回数)である。特性
値r9の平均ブレーキ余裕時間は、ブレーキペダルを踏
み込んだ時点における(障害物までの距離)/(障害物
との相対速度)の平均値である。また、特性値r10の
平均ペダル踏み替え時間は、アクセルペダルとブレーキ
ペダルの踏み替え時間の平均値である。特性値r11の
平均操舵余裕時間は、ステアリングを操作した時点にお
ける(障害物までの距離)/(障害物との相対速度)で
ある。さらに、特性値r12の平均操舵ピーク間隔は、
上述した操舵角速度のピーク値時間間隔の平均値であ
る。なお、運転特性値の種類および個数はこの実施の形
態に限定されない。
On the other hand, the driving characteristic values 8 to 12 are characteristic values r indicating the driver's reaction to obstacles including the preceding vehicle and the driving environment.
n (n = 8 to 12), and these reaction situation characteristic values r
Based on n, it is determined whether or not the driver's reaction situation is in a state favorable for safe driving. The rapid deceleration rate of the reaction situation characteristic value r8 indicates the frequency of rapid deceleration during deceleration, and is (number of times of rapid deceleration) / (total number of times of deceleration). The average brake margin time of the characteristic value r9 is an average value of (distance to obstacle) / (relative speed to obstacle) at the time when the brake pedal is depressed. The average pedal change time of the characteristic value r10 is an average value of the accelerator pedal and the brake pedal change time. The average steering allowance time of the characteristic value r11 is (the distance to the obstacle) / (the relative speed with respect to the obstacle) at the time when the steering is operated. Further, the average steering peak interval of the characteristic value r12 is:
This is the average value of the peak time intervals of the steering angular velocity described above. The type and number of the operation characteristic values are not limited to this embodiment.

【0017】コントローラー5の情報報知判断部5c
は、後述する運転特性記録手段たる記録装置6、7に記
録されている今回と過去の運行時の運転特性値の変化を
検出する運転特性変化検出手段を構成するとともに、運
転特性値と緊急状態情報に基づいて、運転者に車両の運
転に関する情報を報知する必要があるか否かを判断する
報知必要性判定手段を構成し、報知する必要がある場合
は情報報知の必要度に応じた情報内容を、情報報知の必
要度に応じた報知手段で報知する。この運転に関する情
報には、休憩の提案、安全運転の促進、早急な運転終了
の提案などが含まれる。
The information notification determining unit 5c of the controller 5
Constitutes a driving characteristic change detecting means for detecting a change in the driving characteristic value between the current operation and the past operation recorded in the recording devices 6 and 7 which are driving characteristic recording means to be described later. Based on the information, a notification necessity determining means for determining whether or not it is necessary to notify the driver of information regarding driving of the vehicle is configured, and if it is necessary to notify, information according to the necessity of the information notification The contents are notified by the notifying means according to the necessity of the information notification. The information on the driving includes a proposal of a break, a promotion of safe driving, a proposal of an end of driving immediately, and the like.

【0018】記録装置6は固定式の不揮発性メモリであ
り、緊急状態記録部6aと今回の運行記録部6bを有す
る。緊急状態記録部6aにはすべての運転者が遭遇した
緊急状態の内容、発生場所および発生日時を記録し、今
回の運行記録部6bには今回の運行時の運転者の運転特
性値sn、rnを記録する。なお、今回の運行記録部6
bの記録内容は今回の運行終了後に消去する。
The recording device 6 is a fixed non-volatile memory, and has an emergency state recording unit 6a and a current operation recording unit 6b. The emergency state recording unit 6a records the details of the emergency state encountered by all the drivers, the place of occurrence and the date and time of occurrence, and the current operation recording unit 6b records the driving characteristic values sn and rn of the driver during the current operation. Record In addition, this time operation recording part 6
The recorded contents of b are deleted after the current operation is completed.

【0019】記録装置7は着脱可能な不揮発性メモリで
あり、緊急状態記録部7aと過去の運行記録部7bを有
する。この記録装置7は運転者ごとに用意されており、
運行開始に先立って車室内の所定の場所へ装着して使用
する。緊急状態記録部7aには、この記録装置7を所持
する運転者の過去の運行時の緊急状態が記録されてお
り、今回の運行時に遭遇した緊急状態の内容、発生場所
および発生日時を追加記録する。過去の運行記録部7b
には、この記録装置7を所持する運転者の過去の運転特
性値sn、rnとそれらの増減率snd、rndが記録されて
おり、今回の運行終了時に今回と過去の運行時の運転特
性値に基づいて運転特性値を更新する。これらの記録装
置6,7の緊急状態記録部6a、7aは緊急状態記録手
段を構成している。
The recording device 7 is a detachable non-volatile memory, and has an emergency state recording unit 7a and a past operation recording unit 7b. This recording device 7 is prepared for each driver,
Prior to the start of operation, it is used by attaching it to a predetermined place in the passenger compartment. The emergency status recording unit 7a records the emergency status of the driver having the recording device 7 during the past operation, and additionally records the details of the emergency status encountered during the current operation, the location and the date and time of occurrence. I do. Past operation record part 7b
Records the past driving characteristic values sn and rn of the driver having the recording device 7 and their increase / decrease rates snd and rnd, and at the end of the current operation, the driving characteristic values of the current operation and the past operation. The driving characteristic value is updated based on the. The emergency state recording units 6a and 7a of these recording devices 6 and 7 constitute an emergency state recording unit.

【0020】なお、大容量の固定式記録装置のみを車両
に設置して運転者ごとに記録領域を割り当て、運行開始
時に運転者のIDを確認して運行時の運転者の記録領域
に緊急状態と運転特性値を記録するようにしてもよい。
また、記録装置6、7の種類は特に限定されず、半導体
メモリやハードディスクなどを用いることができる。さ
らに、緊急状態に関する情報は事故などの発生原因の究
明に用いることができる。
It is to be noted that only a large-capacity fixed recording device is installed in a vehicle, a recording area is allocated to each driver, and the ID of the driver is confirmed at the start of operation, and an emergency state is recorded in the recording area of the driver at the time of operation. May be recorded.
The types of the recording devices 6 and 7 are not particularly limited, and a semiconductor memory, a hard disk, or the like can be used. Further, the information on the emergency state can be used to determine the cause of the occurrence of an accident or the like.

【0021】情報報知手段としての情報報知装置8は、
ディスプレイ(不図示)とスピーカー(不図示)により
運転者に運転に関する情報を報知する。
The information notifying device 8 as information notifying means includes:
A display (not shown) and a speaker (not shown) notify the driver of driving information.

【0022】図3は情報報知処理プログラムを示すフロ
ーチャートである。このフローチャートにより、一実施
の形態の動作を説明する。信号処理コントローラー5の
マイクロコンピューターは、車両のイグニッションキー
スイッチ(不図示)がオンしている間、所定時間ごとに
この情報報知処理プログラムを実行する。
FIG. 3 is a flowchart showing an information notification processing program. The operation of the embodiment will be described with reference to this flowchart. The microcomputer of the signal processing controller 5 executes the information notification processing program at predetermined time intervals while an ignition key switch (not shown) of the vehicle is on.

【0023】ステップ1において、運転者ごとの過去の
運転特性値と緊急状態発生場所および発生日時を記録し
た記録装置7が、車両の所定の場所に装着されたか否か
を確認する。装着されていないときはステップ2へ進
み、情報報知装置8により運転者自身の記録装置7を所
定の場所に装着する旨を報知してステップ1へ戻る。
In step 1, it is confirmed whether or not the recording device 7, which records the past driving characteristic values for each driver, the emergency occurrence location, and the occurrence date and time, is mounted at a predetermined location of the vehicle. If it is not mounted, the process proceeds to step 2, where the information notification device 8 notifies the driver that the recording device 7 of the driver is to be mounted at a predetermined location, and returns to step 1.

【0024】運転者の記録装置7が装着された場合はス
テップ3へ進み、GPS受信機1、車両信号検出装置
2、操作信号検出装置3および車間距離検出装置4によ
る信号検出を開始する。ステップ4で上述した緊急状態
を検出したかどうかを確認し、緊急状態を検出した場合
はステップ5へ進み、緊急状態が検出されなかった場合
はステップ6へ進む。緊急状態を検出した場合は、ステ
ップ5で緊急状態の内容、発生場所および発生日時を緊
急状態記録部6aおよび7aへ記録する。
When the recording device 7 of the driver is mounted, the process proceeds to step 3 and signal detection by the GPS receiver 1, the vehicle signal detection device 2, the operation signal detection device 3, and the inter-vehicle distance detection device 4 is started. In step 4, it is confirmed whether or not the above-described emergency condition is detected. If the emergency condition is detected, the process proceeds to step 5, and if the emergency condition is not detected, the process proceeds to step 6. If an emergency condition is detected, the contents, location and date and time of occurrence of the emergency condition are recorded in the emergency condition recording units 6a and 7a in step 5.

【0025】ステップ6において、現在から所定時間
前、例えば5分前までの間にGPS受信機1、車両信号
検出装置2、操作信号検出装置3および車間距離検出装
置4から入力した各種信号に基づいて、上述した表1に
示す運転特性値、すなわち精神状況特性値sn(n=1
〜7)と反応状況特性値rn(n=8〜12)を演算
し、今回の運行記録部6bに記録する。続くステップ7
で図4に示す報知必要度算出ルーチンを実行し、運転に
関する情報の報知必要度Nを算出する。
In step 6, based on various signals input from the GPS receiver 1, the vehicle signal detector 2, the operation signal detector 3, and the inter-vehicle distance detector 4 during a predetermined time, for example, five minutes before the present. Therefore, the driving characteristic values shown in Table 1 above, that is, the mental situation characteristic values sn (n = 1
7) and the reaction situation characteristic value rn (n = 8 to 12) are calculated and recorded in the current operation recording unit 6b. Next step 7
Then, the notification necessity calculation routine shown in FIG. 4 is executed, and the notification necessity N of the information on the driving is calculated.

【0026】図4のステップ21において、今回の運行
記録部6bに記録されている現在の運転特性値(ここで
は、5分前から現在までの運転特性値)sn(n=1〜
7)、rn(n=8〜12)を読み込み、さらに続くス
テップ22で、過去の運行記録部7bに記録されている
過去の運転特性値sn(n=1〜7)、rn(n=8〜
12)を読み込む。ステップ23において、図5に示す
精神状況特性指数算出ルーチンを実行し、精神状況特性
値sn(n=1〜7)ごとの精神状況特性指数Sn(n
=1〜7)を算出する。
In step 21 of FIG. 4, the current operation characteristic value (here, the operation characteristic value from 5 minutes ago to the present) recorded in the current operation recording unit 6b is used.
7), rn (n = 8 to 12) are read, and in a subsequent step 22, past operation characteristic values sn (n = 1 to 7) and rn (n = 8) recorded in the past operation recording unit 7b. ~
12) is read. In step 23, the mental state characteristic index calculation routine shown in FIG. 5 is executed, and the mental state characteristic index Sn (n) for each mental state characteristic value sn (n = 1 to 7).
= 1 to 7).

【0027】図5のステップ41で、現在と過去の精神
状況特性値snに基づいて、次式により精神状況特性値
の増減率snd(n=1〜7)を算出する。
In step 41 of FIG. 5, the rate of increase / decrease snd (n = 1 to 7) of the mental state characteristic value is calculated based on the present and past mental state characteristic values sn by the following equation.

【数1】snd=((現在の特性値sn)−(過去の特性
値sn))/(過去の特性値sn)×100 次にステップ42〜46で、精神状況特性値の増減率sn
dをしきい値L1n、L2n(<L1n)(n=1〜7)と比
較し、snd≧L1nであれば精神状況特性指数Snに所定
値An(n=1〜7)を設定し、L1n>snd≧L2nであ
れば精神状況特性指数Snに所定値Bn(n=1〜7)
を設定し、snd<L2nであれば精神状況特性指数Snに
所定値Cn(n=1〜7)を設定する。
Snd = ((current characteristic value sn)-(past characteristic value sn)) / (past characteristic value sn) × 100 Next, in steps 42 to 46, the rate of change sn of the mental situation characteristic value is calculated.
d is compared with threshold values L1n, L2n (<L1n) (n = 1 to 7), and if snd ≧ L1n, a predetermined value An (n = 1 to 7) is set to the mental situation characteristic index Sn, and L1n If> snd ≧ L2n, the mental state characteristic index Sn is a predetermined value Bn (n = 1 to 7)
Is set, and if snd <L2n, a predetermined value Cn (n = 1 to 7) is set to the mental situation characteristic index Sn.

【0028】精神状況特性指数Snを算出後の図4のス
テップ24において、精神状況特性指数Sn(n=1〜
7)の積算により精神状況分析指数Sを算出する。
After calculating the mental state characteristic index Sn, in step 24 of FIG. 4, the mental state characteristic index Sn (n = 1 to 1)
The mental situation analysis index S is calculated by the integration of 7).

【数2】S=ΣSn ここで、Σはn=1〜7の総和演算を表す。続くステッ
プ25において、図6に示す反応状況特性指数算出ルー
チンを実行し、反応状況特性値rn(n=8〜12)ご
との反応状況特性指数Rn(n=8〜12)を算出す
る。
S = ΣSn where Σ represents the summation operation of n = 1 to 7. In the subsequent step 25, a reaction situation characteristic index calculation routine shown in FIG. 6 is executed to calculate a reaction situation characteristic index Rn (n = 8 to 12) for each reaction situation characteristic value rn (n = 8 to 12).

【0029】図6のステップ51で、現在と過去の反応
状況特性値rnに基づいて、次式により反応状況特性値
の増減率rnd(n=8〜12)を算出する。
In step 51 of FIG. 6, the rate of change rnd (n = 8 to 12) of the reaction state characteristic value is calculated by the following equation based on the current and past reaction state characteristic value rn.

【数3】rnd=((現在の特性値rn)−(過去の特性
値rn))/(過去の特性値rn)×100 次にステップ52〜56で、反応状況特性値の増減率rn
dをしきい値L1n、L2n(<L1n)(n=8〜12)と
比較し、rnd≧L1nであれば反応状況特性指数Rnに所
定値An(n=8〜12)を設定し、L1n>rnd≧L2n
であれば反応状況特性指数Rnに所定値Bn(n=8〜
12)を設定し、rnd<L2nであれば反応状況特性指数
Rnに所定値Cn(n=8〜12)を設定する。
## EQU3 ## rnd = ((current characteristic value rn)-(past characteristic value rn)) / (past characteristic value rn) .times.100 Next, in steps 52 to 56, the rate of change rn of the reaction situation characteristic value rn
d is compared with threshold values L1n, L2n (<L1n) (n = 8 to 12). If rnd ≧ L1n, a predetermined value An (n = 8 to 12) is set to the reaction situation characteristic index Rn. > Rnd ≧ L2n
Then, a predetermined value Bn (n = 8 to
12) is set, and if rnd <L2n, a predetermined value Cn (n = 8 to 12) is set in the reaction situation characteristic index Rn.

【0030】反応状況特性指数Rnを算出後の図4のス
テップ26において、反応状況特性指数Rn(n=8〜
12)の積算により反応状況分析指数Rを算出する。
At step 26 in FIG. 4 after calculating the reaction situation characteristic index Rn, the reaction situation characteristic index Rn (n = 8 to
A reaction situation analysis index R is calculated by the integration of 12).

【数4】R=ΣRn ここで、Σはn=8〜12の総和演算を表す。次にステ
ップ27において、図7に示す環境係数算出ルーチンを
実行し、走行環境の良否を示す環境係数Eを算出する。
R = 4Rn Here, Σ represents a sum operation of n = 8-12. Next, in step 27, an environment coefficient calculation routine shown in FIG. 7 is executed to calculate an environment coefficient E indicating the quality of the driving environment.

【0031】ここで、しきい値L1n、L2n(n=1〜1
2)と所定値An、Bn、Cn(n=1〜12)の一例
を表2に示す。
Here, threshold values L1n, L2n (n = 1 to 1)
Table 2 shows an example of 2) and the predetermined values An, Bn, and Cn (n = 1 to 12).

【表2】 なお、表3に示すように、精神状況特性指数Snと反応
状況特性指数Rnの所定値An、Bn、Cnに重みをつ
けるようにしてもよい。
[Table 2] As shown in Table 3, weights may be assigned to the predetermined values An, Bn, and Cn of the mental situation characteristic index Sn and the reaction situation characteristic index Rn.

【表3】 [Table 3]

【0032】図7のステップ61〜63で、現在地が過
去の緊急状態発生場所か否かを調査する。緊急状態発生
場所であれば環境特性値e1に所定値aを設定し、そう
でなければ環境特性値e1に所定値bを設定する。また
ステップ64〜66で、現在の時刻が過去の緊急状態発
生時刻か否かを調査する。緊急状態発生時刻であれば環
境特性値e2に所定値cを設定し、そうでなければ環境
特性値e2に所定値dを設定する。さらにステップ67
〜69で、走行環境の指標の1つである雨天の走行か否
かを確認し、雨天の走行であれば環境特性値e3に所定
値fを設定し、そうでなければ環境特性値e3に所定値
gを設定する。ここで、例えば操作信号検出装置3によ
りワイパーの作動が検出されたときは雨天走行とする。
In steps 61 to 63 in FIG. 7, it is checked whether or not the current position is a past emergency occurrence position. If it is a place where an emergency occurs, a predetermined value a is set to the environmental characteristic value e1, and if not, a predetermined value b is set to the environmental characteristic value e1. In steps 64-66, it is checked whether the current time is a past emergency occurrence time. If it is an emergency occurrence time, a predetermined value c is set to the environmental characteristic value e2, and if not, a predetermined value d is set to the environmental characteristic value e2. Step 67
In steps 69 to 69, it is confirmed whether or not the vehicle is traveling on rainy weather, which is one of the indicators of the traveling environment. If the vehicle is traveling on rainy weather, the environment characteristic value e3 is set to a predetermined value f. A predetermined value g is set. Here, for example, when the operation of the wiper is detected by the operation signal detection device 3, it is assumed that the vehicle is traveling on rainy weather.

【0033】所定値a、b、c、d、f、gの一例を表
4に示す
Table 4 shows an example of the predetermined values a, b, c, d, f, and g.

【表4】 [Table 4]

【0034】ステップ70において、環境特性値e1、
e2、e3に基づいて次式により環境係数Eを求める。
At step 70, the environmental characteristic value e1,
An environment coefficient E is obtained from the following equation based on e2 and e3.

【数5】E=e1×e2×e3 このように、本実施の形態では緊急状態記録要素として
場所に加え時刻、天候などの多くの情報を処理している
ため、報知の必要性を高く(警報を出やすく)すること
ができる。なお、ランプ類の点消灯状況に応じて走行環
境の指標である昼間走行と夜間走行を検出し、昼間走行
と夜間走行の別による環境特性値e4を設定し、この環
境特性値e4を用いて環境係数Eを演算してもよい。こ
の場合、夜間走行は昼間走行に比べて環境特性値e4を
大きくする。
E = e1 × e2 × e3 As described above, in the present embodiment, in addition to the location, a lot of information such as time and weather is processed as an emergency state recording element. Warnings). It should be noted that daytime running and nighttime running, which are indicators of the running environment, are detected in accordance with the turning on / off state of the lamps, an environmental characteristic value e4 for daytime running and nighttime running is set, and this environmental characteristic value e4 is used. The environment coefficient E may be calculated. In this case, the environmental characteristic value e4 in the night driving is larger than that in the day driving.

【0035】精神状況分析指数S、反応状況分析指数R
および環境係数Eを算出した後、図4のステップ28に
おいて、次式に示すように精神状況分析指数Sと反応状
況分析指数Rに基づいて情報報知の必要度Nを算出す
る。
Mental situation analysis index S, reaction situation analysis index R
After calculating the environmental coefficient E and the environmental coefficient E, in step 28 of FIG. 4, the necessity N of information notification is calculated based on the mental situation analysis index S and the reaction situation analysis index R as shown in the following equation.

【数6】N=(S+R)×E なお、現在の精神状況分析指数Sや反応状況分析指数R
は、運行開始後、所定時間が経過してから使用するもの
とし、それまではそれぞれ所定値を使用するようにして
もよい。
[Mathematical formula-see original document] N = (S + R) * E Note that the current mental situation analysis index S and reaction situation analysis index R
May be used after a predetermined time has elapsed after the start of operation, and a predetermined value may be used until then.

【0036】ステップ29〜33において、情報報知の
必要度Nをしきい値P1、P2(<P1)と比較し、N
≧P1であれば必要度”大”、P1>N≧P2であれば
必要度”中”、N<P2であれば必要度”小”と判断す
る。なお、しきい値P1、P2は、例えばP1=50、
P2=40とする。
In steps 29 to 33, the necessity N of information notification is compared with thresholds P1 and P2 (<P1), and N
If ≧ P1, the degree of necessity is determined to be “large”, if P1> N ≧ P2, the degree of necessity is “medium”, and if N <P2, the degree of necessity is determined to be “small”. The thresholds P1 and P2 are, for example, P1 = 50,
P2 = 40.

【0037】情報必要度Nを算出したら図3の情報報知
処理プログラムへリターンし、ステップ8において情報
報知が必要かどうかを確認する。情報報知の必要度大お
よび必要度中の場合は報知が必要としてステップ9へ進
み、情報の報知方法を選択する。具体的には、報知必要
度大の場合はスピーカーの音量を大きくして運転に関す
る情報を報知する。また、報知必要度中の場合はスピー
カーの音量を中程度にして運転に関する情報を報知す
る。この運転に関する情報には、早急に運行を終了する
提案、しばらく休憩をとる提案など、安全運転に対する
提案および警告が含まれる。なお、報知必要度に応じて
音声を変えたり、ディスプレイに表示してもよい。ステ
ップ10では、情報報知装置8により選択した報知方法
で報知必要度に応じた内容の情報報知を行う。
After calculating the information necessity N, the program returns to the information notification processing program of FIG. 3 and checks in step 8 whether information notification is necessary. If the degree of information notification is large or medium, the notification is necessary and the process proceeds to step 9 to select an information notification method. Specifically, in the case where the notification necessity is high, the volume of the speaker is increased to notify the information on driving. In addition, when the notification necessity is in the middle, the volume of the speaker is set to a medium level and the information about the driving is reported. The information on the driving includes proposals and warnings for safe driving, such as a proposal to end the operation immediately and a proposal to take a break for a while. The sound may be changed or displayed on a display according to the necessity of notification. In step 10, information is notified in accordance with the notification necessity by the notification method selected by the information notification device 8.

【0038】ステップ11において、運行が終了したか
否かを確認する。例えば、イグニッションスイッチがオ
フされたら今回の運行が終了したと判断してステップ1
2へ進み、運行が終了していないときはステップ3へ戻
って上述した一連の情報報知処理を繰り返す。
In step 11, it is confirmed whether or not the operation has been completed. For example, if the ignition switch is turned off, it is determined that the current operation has been completed and step 1 is performed.
Proceed to 2 and if the operation is not completed, return to step 3 and repeat the series of information notification processing described above.

【0039】今回の運行が終了したときは、ステップ1
2で、今回の運行記録部6bに記録されている今回の運
行中に記録した運転特性値sn、rnと、過去の運行記
録部7bに記録されている過去の運行時の運転特性値s
n、rnとに基づいて運転特性値sn、rnを算出し直
し、新たに算出した運転特性値sn、rnで過去の運行
記録部7bの記録内容を更新する。その後、今回の運行
記録部6bの記録内容を消去して処理を終了する。
When the current operation is completed, step 1
2, the operation characteristic values sn and rn recorded during the current operation recorded in the current operation recording unit 6b and the operation characteristic values s during the past operation recorded in the past operation recording unit 7b.
The driving characteristic values sn and rn are recalculated based on n and rn, and the recorded contents of the past operation recording unit 7b are updated with the newly calculated driving characteristic values sn and rn. After that, the recorded contents of the current operation recording unit 6b are deleted, and the process is terminated.

【0040】運行ごとに運転特性値sn、rnを更新す
ることによって、運転者ごとの運転技術の向上や、タイ
ヤの摩耗による車両制動性能劣化などにも対応可能とな
る。なお、運行を開始してから2時間以上が経過した後
の運転特性値や緊急状態情報は、運転者の疲労度が高い
状態でのデータであり、信頼性が低いので運転特性値の
更新に用いないようにしてもよい。
By updating the driving characteristic values sn and rn for each operation, it is possible to improve the driving technique for each driver and to cope with deterioration of the vehicle braking performance due to tire wear. The driving characteristic values and emergency state information after two hours or more have elapsed since the start of the operation are data in a state where the degree of fatigue of the driver is high, and since the reliability is low, the driving characteristic values are updated. It may not be used.

【0041】このように、この実施の形態によれば、運
転者の運転操作に基づいて運転特性を算出、記録し、現
在の運転特性と過去の運転特性とを比較して運転特性の
変化を検出する。そして、運転特性の変化に基づいて運
転に関する情報を運転者に報知する必要性を判定し、情
報報知の必要性に応じた内容と方法で運転に関する情報
を報知するようにしたので、従来装置のような不必要な
情報報知が防止され、運転者の運転特性に応じた的確で
且つ効果的な情報報知を行うことができ、高い情報報知
効果を得ることができる。
As described above, according to this embodiment, the driving characteristics are calculated and recorded based on the driving operation of the driver, and the changes in the driving characteristics are compared by comparing the current driving characteristics with the past driving characteristics. To detect. Then, the necessity of informing the driver of information on driving based on the change in driving characteristics is determined, and the information on driving is notified by the content and method according to the necessity of information notification. Such unnecessary information notification can be prevented, accurate and effective information notification according to the driving characteristics of the driver can be performed, and a high information notification effect can be obtained.

【0042】また、運転者の運転特性として、運転者の
精神状態を示す精神状況特性値と、障害物と走行環境に
対する運転者の反応を示す反応状況特性値とを算出し、
精神状況特性値と反応状況特性値との和に基づいて情報
報知の必要性を判定するようにしたので、運転者の運転
特性を正確に分析することができ、上記効果をさらに高
めることができる。
Further, as driving characteristics of the driver, a mental state characteristic value indicating a mental state of the driver and a reaction state characteristic value indicating a reaction of the driver to obstacles and a driving environment are calculated.
Since the necessity of information notification is determined based on the sum of the mental situation characteristic value and the reaction situation characteristic value, the driving characteristic of the driver can be accurately analyzed, and the above effect can be further enhanced. .

【0043】さらに、車両の緊急状態を検出、記録し、
緊急状態発生場所、緊急状態発生時刻および走行環境を
考慮して情報報知の必要性を判定するようにしたので、
上記効果に加え、走行環境に応じた的確で且つ効果的な
情報報知を行うことができる。
Further, the emergency state of the vehicle is detected and recorded,
Since the necessity of information notification is determined in consideration of the emergency state occurrence location, the emergency state occurrence time and the driving environment,
In addition to the above effects, accurate and effective information notification according to the traveling environment can be performed.

【0044】なお、昼間走行と夜間走行の別、雨天や霧
などの天候別、一般道路走行と高速道路走行の別など、
走行パターンごとに運転特性値を分類して記録し、現在
の走行パターンと同じ走行パターンの過去の運転特性値
と現在の運転特性値とを比較して情報報知の必要度を算
出してもよい。
It should be noted that there is a distinction between daytime driving and nighttime driving, weather such as rainy weather and fog, and general road driving and highway driving.
The driving characteristic values may be classified and recorded for each driving pattern, and the past driving characteristic value of the same driving pattern as the current driving pattern may be compared with the current driving characteristic value to calculate the necessity of information notification. .

【0045】《発明の一実施の形態の変形例》緊急状態
の発生に応じて精神状況特性指数Snおよび反応状況特
性指数Rnの所定値An、Bn、Cnを更新するように
した変形例を説明する。
<< Modification of One Embodiment of the Invention >> A description will be given of a modification in which predetermined values An, Bn, and Cn of the mental situation characteristic index Sn and the reaction situation characteristic index Rn are updated in response to occurrence of an emergency state. I do.

【0046】図8は、特性指数Sn、Rnの所定値A
n、Bnの更新処理を示すフローチャートである。この
処理は、図3に示す一実施の形態の情報報知処理プログ
ラムのステップ12を実行した後に実行される。ステッ
プ81において、運転者ごとの緊急状態記録部7aに緊
急状態の記録があるか否かを確認し、過去に緊急状態発
生の記録がない場合は処理を終了する。
FIG. 8 shows the predetermined values A of the characteristic indices Sn and Rn.
It is a flowchart which shows the update process of n and Bn. This processing is executed after executing step 12 of the information notification processing program according to the embodiment shown in FIG. In step 81, it is confirmed whether or not there is a record of the emergency state in the emergency state recording unit 7a for each driver, and if there is no record of the occurrence of the emergency state in the past, the process ends.

【0047】緊急状態発生の記録がある場合は、ステッ
プ82で、過去の運行記録部7bに記録されている、緊
急状態発生時の精神状況特性値sn(n=1〜7)と反
応状況特性値rn(n=8〜12)とを読み込む。
If there is a record of the occurrence of an emergency condition, in step 82, the mental situation characteristic value sn (n = 1 to 7) and the reaction situation characteristic at the time of occurrence of the emergency condition, which are recorded in the past operation recording unit 7b. The value rn (n = 8 to 12) is read.

【0048】続くステップ83で、次式により精神状況
特性指数Sn(n=1〜7)の所定値An、Bn、Cn
(n=1〜7)に対する重み係数Dsn(n=1〜7)お
よび所定値An、Bn、Cn(n=1〜7)の初期値A
0n、B0n、C0n(n=1〜7)の各々の合計値At、B
t、Ctを算出する。
In the following step 83, predetermined values An, Bn, Cn of the mental condition characteristic index Sn (n = 1 to 7) are calculated by the following equations.
(N = 1 to 7) and a weight coefficient Dsn (n = 1 to 7) and an initial value A of predetermined values An, Bn, and Cn (n = 1 to 7)
0n, B0n, and the total value At, B of C0n (n = 1 to 7)
Calculate t and Ct.

【数7】 Dsn=Σsn/Σ(Σsn), At=ΣA0n=A01+A02+・・+A07, Bt=ΣB0n=B01+B02+・・+B07, Ct=ΣC0n=C01+C02+・・+C07 ここで、緊急状態情報の記録個数をm個とすると、Σsn
は精神状況特性値sn(n=1〜7)ごとのm個の総和
を示す。すなわち、
Dsn = Σsn / Σ (Σsn), At = ΣA0n = A01 + A02 +... + A07, Bt = ΣB0n = B01 + B02 +. + B07, Ct = ΣC0n = C01 + C02 +. + C07個 sn
Indicates m sums for each mental situation characteristic value sn (n = 1 to 7). That is,

【数8】 Σs1=(緊急状態記録1のs1)+・・・+(緊急状態記録mのs1), Σs2=(緊急状態記録1のs2)+・・・+(緊急状態記録mのs2), ・ ・ Σs7=(緊急状態記録1のs7)+・・・+(緊急状態記録mのs7)8s1 = (s1 of emergency record 1) + ... + (s1 of emergency record m), Σs2 = (s2 of emergency record 1) + ... + (s2 of emergency record m) Σ, ・ s7 = (s7 of emergency record 1) + ... + (s7 of emergency record m)

【0049】また、Σ(Σsn)は、Σ (Σsn) is

【数9】Σ(Σsn)=Σs1+Σs2+・・・+Σs7 であり、したがって、9 (Σsn) = Σs1 + Σs2 +... + Σs7.

【数10】 Ds1=Σs1/Σ(Σsn), Ds2=Σs2/Σ(Σsn), ・ ・ Ds7=Σs7/Σ(Σsn)Ds1 = Σs1 / Σ (Σsn), Ds2 = Σs2 / Σ (Σsn), Ds7 = Σs7 / Σ (Σsn)

【0050】ステップ84において、算出した重み係数
Dsn(n=1〜7)を用いて、次式により精神状況特性
指数Sn(n=1〜7)の所定値An、Bn、Cn(n
=1〜7)に重み付けを行い、更新する。
In step 84, using the calculated weighting factors Dsn (n = 1 to 7), predetermined values An, Bn, Cn (n) of the mental situation characteristic index Sn (n = 1 to 7) are calculated by the following equations.
= 1 to 7) and update.

【数11】 Dsn×At→An(n=1〜7), Dsn×Bt→Bn(n=1〜7), Dsn×Ct→Cn(n=1〜7)Dsn × At → An (n = 1 to 7), Dsn × Bt → Bn (n = 1 to 7), Dsn × Ct → Cn (n = 1 to 7)

【0051】次にステップ85で、次式により反応状況
特性指数Rn(n=8〜12)の所定値An、Bn、C
n(n=8〜12)に対する重み係数Drn(n=8〜1
2)および所定値An、Bn、Cn(n=8〜12)の
初期値A0n、B0n、C0n(n=8〜12)の各々の合計
値At、Bt、Ctを算出する。
Next, at step 85, predetermined values An, Bn, C of the reaction situation characteristic index Rn (n = 8 to 12) are calculated by the following equations.
n (n = 8 to 12) with a weight coefficient Drn (n = 8 to 1)
2) and the total values At, Bt, Ct of the initial values A0n, B0n, C0n (n = 8-12) of the predetermined values An, Bn, Cn (n = 8-12) are calculated.

【数12】 Drn=Σrn/Σ(Σrn), At=ΣA0n=A08+A09+・・+A012, Bt=ΣB0n=B08+B09+・・+B012, Ct=ΣC0n=C08+C09+・・+C012 ここで、緊急状態情報の記録個数をm個とすると、Σrn
は反応状況特性値rn(n=8〜12)ごとのm個の総
和を示す。すなわち、
Drn = Σrn / Σ (Σrn), At = ΣA0n = A08 + A09 +... + A012, Bt = ΣB0n = B08 + B09 +... + B012, Ct = ΣC0n = C08 + C09 +... + C012個 rn
Indicates m totals for each reaction state characteristic value rn (n = 8 to 12). That is,

【数13】 Σr8=(緊急状態記録1のr8)+・・・+(緊急状態記録mのr8), Σr9=(緊急状態記録1のr9)+・・・+(緊急状態記録mのr9), ・ ・ Σr12=(緊急状態記録1のr12)+・・・+(緊急状態記録mのr12)13r8 = (r8 of emergency record 1) + ... + (r8 of emergency record m), Σr9 = (r9 of emergency record 1) + ... + (r9 of emergency record m) Σ, ・ r12 = (r12 of emergency record 1) + ... + (r12 of emergency record m)

【0052】また、Σ(Σrn)は、Σ (Σrn) is

【数14】Σ(Σrn)=Σr8+Σr9+・・・+Σr12 であり、したがって、14 (Σrn) = Σr8 + Σr9 +... + Σr12.

【数15】 Dr8=Σr8/Σ(Σrn), Dr9=Σr9/Σ(Σrn), ・ ・ Dr12=Σr12/Σ(Σrn)[Equation 15] Dr8 = Σr8 / Σ (Σrn), Dr9 = Σr9 / Σ (Σrn), ··· Dr12 = Σr12 / Σ (Σrn)

【0053】ステップ86において、算出した重み係数
Drn(n=8〜12)を用いて、次式により反応状況特
性指数Rn(n=8〜12)の所定値An、Bn、Cn
(n=8〜12)に重み付けを行い、更新する。
In step 86, using the calculated weighting coefficients Drn (n = 8 to 12), predetermined values An, Bn, Cn of the reaction situation characteristic index Rn (n = 8 to 12) are calculated by the following equation.
(N = 8 to 12) is weighted and updated.

【数16】 Drn×At→An(n=8〜12), Drn×Bt→Bn(n=8〜12), Drn×Ct→Cn(n=8〜12)Drn × At → An (n = 8 to 12), Drn × Bt → Bn (n = 8 to 12), Drn × Ct → Cn (n = 8 to 12)

【0054】このように、この変形例によれば、運転者
ごとの緊急状態発生時の運転特性値の増減率によって、
精神状況および反応状況の特性指数に対して重み付けを
行うようにしたので、上述した一実施の形態の効果に加
え、情報報知の必要性判断に際して運転者ごとの運転特
性を充分に反映させることができ、運転者の運転特性と
走行環境に応じた的確で且つ効果的な情報報知を行うこ
とができる。
As described above, according to this modified example, the change rate of the driving characteristic value at the time of occurrence of an emergency condition for each driver is determined by
Since the characteristic indexes of the mental state and the reaction state are weighted, in addition to the effects of the above-described embodiment, it is possible to sufficiently reflect the driving characteristics of each driver when determining the necessity of information notification. Thus, accurate and effective information notification according to the driving characteristics and the driving environment of the driver can be performed.

【0055】《発明の一実施の形態の他の変形例》上述
した一実施の形態では、精神状況分析指数Sおよび反応
状況分析指数Rの和に環境係数Eを乗じて情報報知の必
要度Nを演算し、報知必要度Nに応じた報知内容と報知
方法によって情報報知を行う例を示した。この変形例で
は、精神状況分析指数Sと反応状況分析指数Rとをそれ
ぞれ別個に評価して情報報知の内容と方法を決定する。
<< Another Modification of One Embodiment of the Invention >> In the above-described embodiment, the necessity N of the information notification is obtained by multiplying the sum of the mental situation analysis index S and the reaction situation analysis index R by the environmental coefficient E. Has been described, and the information notification is performed by the notification content and the notification method according to the notification necessity N. In this modification, the content and method of information notification are determined by separately evaluating the mental status analysis index S and the reaction status analysis index R.

【0056】図9はこの変形例の情報報知処理を示すフ
ローチャートである。なお、上述した一実施の形態と同
様な処理については図示と説明を省略し、相違点を中心
に説明する。まず、ステップ91、92において、上述
した図4のステップ21〜26と同様に精神状況分析指
数Sと反応状況分析指数Rを求める。これらの指数Sと
Rは、いずれも値が大きくなるほど情報報知の必要度が
高くなる性質を持っている。ステップ93,95,97
において、精神状況分析指数Sと反応状況分析指数Rを
それぞれしきい値YS、YRと比較し、比較結果に基づ
いて情報報知の内容と方法を決定する。
FIG. 9 is a flowchart showing the information notification processing of this modification. In addition, illustration and description of the same processes as those in the above-described embodiment will be omitted, and differences will be mainly described. First, in steps 91 and 92, a mental situation analysis index S and a reaction situation analysis index R are obtained as in steps 21 to 26 in FIG. Each of these indices S and R has such a property that the greater the value, the higher the necessity of information notification. Steps 93, 95, 97
, The mental state analysis index S and the reaction state analysis index R are compared with threshold values YS and YR, respectively, and the content and method of information notification are determined based on the comparison result.

【0057】精神状況分析指数Sがしきい値YSより小
さく、且つ、反応状況分析指数Rがしきい値YRより小
さい場合はステップ93から94へ進み、情報報知の必
要なしと判断して処理を終了する。精神状況分析指数S
がしきい値YS以上で、且つ、反応状況分析指数Rがし
きい値YRより小さい場合はステップ95から96へ進
み、情報報知装置8により運転者に休憩をとることを促
す情報を報知する。
If the mental situation analysis index S is smaller than the threshold value YS and the reaction situation analysis index R is smaller than the threshold value YR, the process proceeds from step 93 to step 94, where it is determined that no information notification is necessary, and the processing is performed. finish. Mental situation analysis index S
Is greater than or equal to the threshold value YS and the reaction situation analysis index R is smaller than the threshold value YR, the routine proceeds from step 95 to step 96, where the information notifying device 8 notifies the driver of information that prompts the driver to take a break.

【0058】また、精神状況分析指数Sがしきい値YS
より小さく、且つ、反応状況分析指数Rがしきい値YR
以上の場合はステップ97から98へ進み、情報報知装
置8によりリラックスした運転を促す情報を報知する。
さらに、精神状況分析指数Sがしきい値YS以上で、且
つ、反応状況分析指数Rがしきい値YR以上の場合はス
テップ97から98へ進み、情報報知装置8により早急
に運転を止めることを促す情報を報知する。
The mental state analysis index S is equal to the threshold value YS.
Smaller and the reaction situation analysis index R is equal to the threshold value YR
In the above case, the process proceeds from step 97 to 98, and the information notifying device 8 notifies information for promoting a relaxed driving.
Further, when the mental condition analysis index S is equal to or more than the threshold value YS and the reaction condition analysis index R is equal to or more than the threshold value YR, the process proceeds from step 97 to 98, and the information notification device 8 stops driving immediately. Notify the information that prompts.

【0059】なお、これらの情報報知は情報報知装置8
により音声と表示によって行うが、情報報知内容に応じ
て警告ブザーを吹鳴させてもよい。この場合、例えば運
転停止を促す情報報知は最大の音量とする。
These information notifications are sent to the information notification device 8
However, a warning buzzer may be sounded according to the information notification content. In this case, for example, the information notification urging the stop of the operation is set to the maximum volume.

【0060】また、精神状況分析指数Sと反応状況分析
指数Rに上述した環境係数Eを乗じ、それらの値に基づ
いてステップ93〜99の情報報知内容と報知方法の決
定を行うようにしてもよい。
Further, the mental condition analysis index S and the reaction condition analysis index R are multiplied by the above-mentioned environmental coefficient E, and the information notification contents and the notification method in steps 93 to 99 are determined based on those values. Good.

【0061】このように、この変形例によれば、精神状
況特性値および反応状況特性値をそれぞれのしきい値と
比較し、それらの比較結果に基づいて情報報知の必要性
を判定するようにしたので、運転者の運転特性を正確に
分析することができ、一実施の形態の上記効果をさらに
高めることができる上に、運転者ごとにより効果的で且
つきめ細かな情報報知を行うことができる。
As described above, according to this modification, the mental situation characteristic value and the reaction situation characteristic value are compared with the respective threshold values, and the necessity of information notification is determined based on the comparison result. Therefore, the driving characteristics of the driver can be accurately analyzed, and the above-described effect of the embodiment can be further enhanced. In addition, more effective and detailed information notification can be performed for each driver. .

【図面の簡単な説明】[Brief description of the drawings]

【図1】 一実施の形態の構成を示す図である。FIG. 1 is a diagram showing a configuration of an embodiment.

【図2】 操舵角速度のピーク値時間間隔を説明するた
めの図である。
FIG. 2 is a diagram for explaining a peak value time interval of a steering angular velocity.

【図3】 情報報知処理プログラムを示すフローチャー
トである。
FIG. 3 is a flowchart showing an information notification processing program.

【図4】 報知必要度の算出ルーチンを示すフローチャ
ートである。
FIG. 4 is a flowchart illustrating a routine for calculating a notification necessity degree.

【図5】 精神状況特性指数Snの算出ルーチンを示す
フローチャートである。
FIG. 5 is a flowchart illustrating a routine for calculating a mental situation characteristic index Sn.

【図6】 反応状況特性指数Rnの算出ルーチンを示す
フローチャートである。
FIG. 6 is a flowchart showing a routine for calculating a reaction situation characteristic index Rn.

【図7】 環境係数Eの算出ルーチンを示すフローチャ
ートである。
FIG. 7 is a flowchart illustrating a routine for calculating an environmental coefficient E;

【図8】 変形例の所定値An、Bn更新処理を示すフ
ローチャートである。
FIG. 8 is a flowchart showing a process of updating predetermined values An and Bn according to a modified example.

【図9】 他の変形例の情報報知処理を示すフローチャ
ートである。
FIG. 9 is a flowchart illustrating an information notification process according to another modification.

【符号の説明】[Explanation of symbols]

1 GPS受信機 2 車両信号検出装置 3 操作信号検出装置 4 車間距離検出装置 5 コントローラー 5a 緊急状態検出部 5b 信号処理部 5c 情報報知判断部 6 記録装置 6a 緊急状態記録部 6b 今回の運行記録部 7 記録装置 7a 緊急状態記録部 7b 過去の運行記録部 8 情報報知装置 DESCRIPTION OF SYMBOLS 1 GPS receiver 2 Vehicle signal detection device 3 Operation signal detection device 4 Inter-vehicle distance detection device 5 Controller 5a Emergency state detection unit 5b Signal processing unit 5c Information notification determination unit 6 Recording device 6a Emergency state recording unit 6b Current operation recording unit 7 Recording device 7a Emergency status recording unit 7b Past operation recording unit 8 Information notification device

Claims (7)

【特許請求の範囲】[Claims] 【請求項1】運転者の運転操作を検出する運転操作検出
手段と、 検出した運転操作に基づいて運転者の運転特性を算出す
る運転特性算出手段と、 運転者の運転特性を記録する運転特性記録手段と、 現在の運転特性と過去の運転特性とを比較して運転特性
の変化を検出する運転特性変化検出手段と、 運転特性の変化に基づいて運転に関する情報を運転者に
報知する必要性を判定する報知必要性判定手段と、 情報報知の必要性に応じた内容と方法で運転に関する情
報を報知する情報報知手段とを備えることを特徴とする
車両用情報報知装置。
1. A driving operation detecting means for detecting a driving operation of a driver, a driving characteristic calculating means for calculating a driving characteristic of the driver based on the detected driving operation, and a driving characteristic for recording the driving characteristic of the driver. A recording means, a driving characteristic change detecting means for detecting a change in the driving characteristic by comparing the current driving characteristic with a past driving characteristic, and a necessity of notifying the driver of driving information based on the driving characteristic change. A vehicle information notification device, comprising: a notification need determination unit that determines the vehicle information; and an information notification unit that notifies information about driving by a content and a method according to the necessity of the information notification.
【請求項2】請求項1に記載の車両用情報報知装置にお
いて、 前記運転特性算出手段は、運転者の運転特性として、運
転者の精神状態を示す精神状況特性値と、障害物と走行
環境の少なくとも一方に対する運転者の反応を示す反応
状況特性値とを算出し、 前記報知必要性判定手段は、前記精神状況特性値と前記
反応状況特性値に基づいて情報報知の必要性を判定する
ことを特徴とする車両用情報報知装置。
2. The vehicle information notifying device according to claim 1, wherein the driving characteristic calculating means includes, as driving characteristics of the driver, a mental situation characteristic value indicating a mental state of the driver, an obstacle and a driving environment. A response situation characteristic value indicating the driver's response to at least one of the following: the notification necessity determination unit determines the necessity of information reporting based on the mental situation characteristic value and the reaction situation characteristic value. An information notification device for a vehicle, comprising:
【請求項3】請求項1に記載の車両用情報報知装置にお
いて、 前記運転特性算出手段は、運転者の運転特性として、運
転者の精神状態を示す精神状況特性値と、障害物と走行
環境の少なくとも一方に対する運転者の反応を示す反応
状況特性値とを算出し、 前記報知必要性判定手段は、前記精神状況特性値および
前記反応状況特性値をそれぞれのしきい値と比較し、そ
れらの比較結果に基づいて情報報知の必要性を判定する
ことを特徴とする車両用情報報知装置。
3. The information notification device for a vehicle according to claim 1, wherein the driving characteristic calculating means includes, as driving characteristics of the driver, a mental situation characteristic value indicating a mental state of the driver, an obstacle, and a driving environment. A response situation characteristic value indicating a response of the driver to at least one of the above, the notification necessity determining means compares the mental situation characteristic value and the reaction situation characteristic value with respective thresholds, and calculates An information notification device for a vehicle, wherein the necessity of information notification is determined based on a comparison result.
【請求項4】請求項1〜3のいずれかの項に記載の車両
用情報報知装置において、 車両の現在地を検出する現在地検出手段と、 車両の挙動を検出する車両挙動検出手段と、 車両挙動検出値が所定値を越える車両の緊急状態を検出
する緊急状態検出手段と、 緊急状態発生場所および緊急状態発生時刻を記録する緊
急状態記録手段とを備え、 前記報知必要性判定手段は、緊急状態発生場所、緊急状
態発生時刻、現在地、および車両挙動を考慮して情報報
知の必要性を判定することを特徴とする車両用情報報知
装置。
4. The vehicle information notifying device according to claim 1, wherein a current position detecting means for detecting a current position of the vehicle, a vehicle behavior detecting means for detecting a behavior of the vehicle, An emergency state detection means for detecting an emergency state of the vehicle having a detected value exceeding a predetermined value; and an emergency state recording means for recording an emergency state occurrence location and an emergency state occurrence time, wherein the notification necessity determination means includes an emergency state An information notification device for a vehicle, which determines the necessity of information notification in consideration of an occurrence location, an emergency state occurrence time, a current location, and a vehicle behavior.
【請求項5】請求項4に記載の車両用情報報知装置にお
いて、 前記報知必要性判定手段は、前記緊急状態記録手段の緊
急状態記録要素が多いほど情報報知の必要性を高く判定
することを特徴とする車両用情報報知装置。
5. The information notification device for a vehicle according to claim 4, wherein the notification necessity determining unit determines that the information notification necessity is determined to be higher as the number of emergency state recording elements of the emergency state recording unit increases. Characteristic vehicle information notification device.
【請求項6】請求項2〜5のいずれかの項に記載の車両
用情報報知装置において、 前記精神状況特性値には車両の最高速度、平均速度、平
均減速度、急加速頻度、平均車間時間、クラクション頻
度、平均運転時間が含まれ、 前記反応状況特性値には急減速頻度、平均ブレーキ余裕
時間、平均ペダル踏み替え時間、平均操舵余裕時間、平
均操舵加速度ピーク値時間間隔が含まれることを特徴と
する車両用情報報知装置。
6. The vehicle information notification device according to claim 2, wherein the mental condition characteristic value includes a maximum speed, an average speed, an average deceleration, a rapid acceleration frequency, and an average headway of the vehicle. Time, horn frequency, average driving time, and the reaction situation characteristic values include sudden deceleration frequency, average brake margin time, average pedal depressing time, average steering margin time, average steering acceleration peak value time interval. An information notification device for a vehicle, comprising:
【請求項7】請求項4〜6のいずれかの項に記載の車両
用情報報知装置において、 前記車両の走行環境には、雨天走行、昼間走行、夜間走
行が含まれることを特徴とする車両用情報報知装置。
7. The vehicle information notification device according to claim 4, wherein the running environment of the vehicle includes rainy running, daytime running, and nighttime running. Information notification device.
JP25419099A 1999-09-08 1999-09-08 Vehicle information reporting device Expired - Fee Related JP4300339B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP25419099A JP4300339B2 (en) 1999-09-08 1999-09-08 Vehicle information reporting device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP25419099A JP4300339B2 (en) 1999-09-08 1999-09-08 Vehicle information reporting device

Publications (2)

Publication Number Publication Date
JP2001071833A true JP2001071833A (en) 2001-03-21
JP4300339B2 JP4300339B2 (en) 2009-07-22

Family

ID=17261502

Family Applications (1)

Application Number Title Priority Date Filing Date
JP25419099A Expired - Fee Related JP4300339B2 (en) 1999-09-08 1999-09-08 Vehicle information reporting device

Country Status (1)

Country Link
JP (1) JP4300339B2 (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003048449A (en) * 2001-08-07 2003-02-18 Toyota Motor Corp Device for deciding psychological state of driver
JP2006188114A (en) * 2005-01-04 2006-07-20 Kenwood Corp On-vehicle device
JP2008213823A (en) * 2007-02-06 2008-09-18 Denso Corp Vehicle control unit
WO2009013815A1 (en) * 2007-07-24 2009-01-29 Nissan Motor Co., Ltd. Drive assistance apparatus for vehicle and vehicle equipped with the apparatus
JP2009173222A (en) * 2008-01-28 2009-08-06 Denso Corp Collision avoidance warning system
JP2010097480A (en) * 2008-10-17 2010-04-30 Toyota Motor Corp Safe driving promotion system
US8068968B2 (en) 2007-02-06 2011-11-29 Denso Corporation Vehicle travel control system
JP2012079325A (en) * 2011-11-16 2012-04-19 Nissan Motor Co Ltd Driving support device for vehicle and driving support method for vehicle
US8688312B2 (en) 2007-07-24 2014-04-01 Nissan Motor Co., Ltd. Driving assistance system for vehicle and vehicle equipped with driving assistance system for vehicle
WO2017203694A1 (en) * 2016-05-27 2017-11-30 日産自動車株式会社 Driving control method and driving control device
KR20190017183A (en) * 2017-08-10 2019-02-20 현대자동차주식회사 Apparatus and method for automatically adjusting receivng broadcast frequency according to vehicle's location

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003048449A (en) * 2001-08-07 2003-02-18 Toyota Motor Corp Device for deciding psychological state of driver
JP2006188114A (en) * 2005-01-04 2006-07-20 Kenwood Corp On-vehicle device
JP2008213823A (en) * 2007-02-06 2008-09-18 Denso Corp Vehicle control unit
US8068968B2 (en) 2007-02-06 2011-11-29 Denso Corporation Vehicle travel control system
US8924074B2 (en) 2007-07-24 2014-12-30 Nissan Motor Co., Ltd. Driving assistance system for vehicle and vehicle equipped with driving assistance system for vehicle
WO2009013815A1 (en) * 2007-07-24 2009-01-29 Nissan Motor Co., Ltd. Drive assistance apparatus for vehicle and vehicle equipped with the apparatus
JP4905556B2 (en) * 2007-07-24 2012-03-28 日産自動車株式会社 Vehicle driving support device and vehicle including vehicle driving support device
US8688312B2 (en) 2007-07-24 2014-04-01 Nissan Motor Co., Ltd. Driving assistance system for vehicle and vehicle equipped with driving assistance system for vehicle
JP2009173222A (en) * 2008-01-28 2009-08-06 Denso Corp Collision avoidance warning system
JP2010097480A (en) * 2008-10-17 2010-04-30 Toyota Motor Corp Safe driving promotion system
JP2012079325A (en) * 2011-11-16 2012-04-19 Nissan Motor Co Ltd Driving support device for vehicle and driving support method for vehicle
WO2017203694A1 (en) * 2016-05-27 2017-11-30 日産自動車株式会社 Driving control method and driving control device
CN109153388A (en) * 2016-05-27 2019-01-04 日产自动车株式会社 Driving control method and steering control device
JPWO2017203694A1 (en) * 2016-05-27 2019-03-22 日産自動車株式会社 Operation control method and operation control apparatus
CN109153388B (en) * 2016-05-27 2019-09-03 日产自动车株式会社 Driving control method and steering control device
US10710610B2 (en) 2016-05-27 2020-07-14 Nissan Motor Co., Ltd. Driving control method and driving control apparatus
KR20190017183A (en) * 2017-08-10 2019-02-20 현대자동차주식회사 Apparatus and method for automatically adjusting receivng broadcast frequency according to vehicle's location
KR102444660B1 (en) * 2017-08-10 2022-09-19 현대자동차주식회사 Apparatus and method for automatically adjusting receivng broadcast frequency according to vehicle's location

Also Published As

Publication number Publication date
JP4300339B2 (en) 2009-07-22

Similar Documents

Publication Publication Date Title
EP1416349B1 (en) Driving workload estimation
US10689008B2 (en) Method for assisting a driver of a single-track motor vehicle in order to drive through a bend safely
JP4320045B2 (en) Vehicle support system
US9428057B2 (en) Information provision device for use in vehicle
US20050128092A1 (en) Method and computer program for identification of inattentiveness by the driver of a vehicle
GB2550250A (en) Systems and Methods for Driving Risk Index Estimation
JP4886047B2 (en) Vehicle driving evaluation apparatus, method, and computer program
JP2002127780A (en) Vehicle alarm system
JP2009006839A (en) Fatigue level detection device
JP2001071833A (en) Information notifying device for vehicle
JP5233711B2 (en) Running state recording device
JP2013002619A (en) Shift control device, shift control method, and shift control program for automobile
JP5109749B2 (en) In-vehicle notification system
JP4696831B2 (en) Vehicle driving support device
JP2016139281A (en) Driving support device
US20220063498A1 (en) Driving assistance device for vehicle, driving assistance method for vehicle, and program
JP2010237969A (en) Vehicle operation diagnosis device, vehicle operation diagnosis method and computer program
KR20140140631A (en) Method and system for assessment of driver behaviour during driving of vehicles
US11577679B2 (en) Detection of an impact event
JP4789367B2 (en) Driving psychology determination device, driving psychology determination method, driving support device, and driving support method
JP2006160032A (en) Driving state determination device and its method
JP4626025B2 (en) Approach risk detection device for vehicles
JP4591171B2 (en) Braking assist device for vehicle
JP2018169839A (en) Abnormality determination system, abnormality determination program
JP6637143B1 (en) Information providing system, information providing method, and computer program

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20060727

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20080513

A521 Written amendment

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20080606

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20080924

A521 Written amendment

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20081021

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20090324

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20090406

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20120501

Year of fee payment: 3

R150 Certificate of patent or registration of utility model

Free format text: JAPANESE INTERMEDIATE CODE: R150

LAPS Cancellation because of no payment of annual fees