JP2010067234A - Driving support apparatus and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To correctly predict whether violation of traffic regulations may be caused and to reduce traffic accidents. <P>SOLUTION: A driving support device includes: a traffic regulation DB (database) which stores traffic regulations which a driver should observe in a traffic circumstance in association with the traffic circumstance where the vehicle travels; and an operation history DB which stores the operation history which a driver has operated in the past in the traffic circumstance in association with the traffic circumstance. The driving support device detects a traffic circumstance in which the vehicle travels, acquires the operation history corresponding to the detected traffic circumstances from the operation history DB, predicts the operation which the driver of the vehicle can take in the detected traffic circumstance, acquires the traffic regulations corresponding to the detected traffic circumstances from the traffic regulation DB, and predicts whether there is any possibility that the driver of the vehicle may generate violation of the traffic regulations based on the acquired traffic regulations and the predicted operations. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a driving support device and a driving support program that are mounted on a vehicle and support driving of the vehicle.

  Conventionally, driver accidents and carelessness have been a major cause of traffic accidents. In particular, traffic accidents are frequently caused by beginners who are unfamiliar with driving a car and easily overlook the surrounding regulatory signs, young people with poor attention, and elderly people with poor recognition ability.

  Therefore, recently, various automobile systems that reduce traffic accidents and traffic violations by beginners, young people, elderly people, etc. have been developed. For example, a TV camera that captures regulation information related to driving of a car, a regulation information receiver that obtains regulation information, a detection unit that detects the running state of the car, and whether or not the running state of the vehicle violates the regulation, Alternatively, a system is disclosed that determines whether or not there is a possibility of violating and warns the driver (see Patent Document 1).

JP 2006-277376 A

  However, with the above-described conventional technology, it is difficult to accurately predict whether or not a traffic violation will occur, and there is a problem that a traffic accident may be induced.

  Specifically, with the conventional technology described above, it is difficult to reliably obtain signs and the like installed on the road shoulder with a TV camera, and transmitters that transmit regulatory information are installed on all roads. It is not always possible to detect a traffic violation or a potential traffic violation reliably. Therefore, it cannot be said that the conventional technology can predict a traffic accident or a traffic violation.

  Also, by warning the driver that a traffic violation has occurred, the driver will drive abnormally to avoid the violation, resulting in a traffic accident involving surrounding vehicles. There is a fear.

  Therefore, the present invention has been made to solve the above-described problems of the prior art, and can accurately predict whether or not there is a possibility of causing a traffic violation and reduce traffic accidents. An object is to provide a driving support device and a driving support program.

  The present invention solves the above-described problems, and the present invention is a driving support device that is mounted on a vehicle and supports driving of the vehicle, and is associated with the traffic environment in which the vehicle travels, and the driver complies with the traffic environment. A traffic rule storage means for storing a traffic rule to be stored; a driving operation history storage means for storing a driving operation history of a driving operation performed by a driver in the traffic environment in association with the traffic environment; and the vehicle traveling An environment detecting means for detecting the traffic environment being detected, and a driving operation history corresponding to the traffic environment detected by the environment detecting means obtained from the driving operation history storage means, and the traffic detected by the environment detecting means A driving operation predicting means for predicting a driving operation that the driver of the vehicle can take in the environment, and a traffic rule corresponding to the traffic environment detected by the environment detecting means. Traffic violation prediction, which predicts whether the driver of the vehicle may cause a traffic violation based on the acquired traffic rules and the driving operation predicted by the driving operation prediction means Means.

  According to the present invention, it is possible to accurately predict whether there is a possibility of causing a traffic violation and to reduce traffic accidents.

  Embodiments of a driving support apparatus and a driving support program according to the present invention will be described below in detail with reference to the accompanying drawings. In the following, the outline of the driving support apparatus according to the present embodiment, the configuration of the driving support apparatus, and the flow of processing will be described in order, and finally various modifications to the present embodiment will be described.

[Outline and features of the driving support system]
Initially, the outline | summary of the driving assistance device which concerns on Example 1 is demonstrated using FIG. FIG. 1 is a diagram for explaining the outline of the driving support apparatus according to the first embodiment.

  The driving support device according to the first embodiment is connected to other in-vehicle devices and various sensors mounted on the vehicle, and uses the information obtained from the other in-vehicle devices and various sensors to provide driving assistance to the driver. It is an apparatus mounted on a vehicle including an electronic control unit (ECU: Electric Control Unit).

  On-vehicle devices connected to driving support devices include GPS transceivers that can acquire the current position using GPS (Global Positioning System) satellites, and road traffic transmitted by VICS (Vehicle Information and Communication System) centers. Between a VICS transceiver that displays information on a vehicle-mounted device such as a car navigation as characters and graphics (such as a map), an inter-vehicle communication device that transmits and receives various information to and from other vehicles, and a communication device that is installed on the shoulder There are road-to-vehicle communication devices that transmit and receive various types of information and car navigation devices that display map information.

  Sensors connected to the driving support device include radars that measure the distance and direction from the reflected waves obtained by radiating electromagnetic waves to objects such as other vehicles, and objects such as other vehicles. There are cameras that image objects, throttle sensors that detect the amount of air that enters the engine, vehicle speed sensors that detect vehicle travel speed, vehicle travel distance, and the like.

  As described above, such a driving support device outlines driving support for the driver in order to drive the vehicle safely, and in particular, may there be a traffic violation? It is possible to accurately predict whether or not to reduce traffic accidents.

  Specifically, the driving support apparatus according to the first embodiment relates to a traffic rule that the driver should observe in the traffic environment in association with the traffic environment in which the vehicle travels, and the driver has operated in the past in the traffic environment. The driving operation history is stored. The driving support device detects the traffic environment in which the vehicle is traveling, acquires a driving operation history corresponding to the detected traffic environment, and can be operated by the driver of the vehicle in the detected traffic environment. And predicting whether the driver of the vehicle may cause a traffic violation based on the traffic rules corresponding to the detected traffic environment and the predicted driving operation. As a result, the driving assistance apparatus according to the first embodiment can accurately predict whether or not there is a possibility of causing a traffic violation and reduce traffic accidents.

  Specifically, as shown in FIG. 1, the driving support apparatus according to the first embodiment is mounted on the own vehicle A, and the “traffic environment, traffic rules” is “right turn lane, 30 m before the intersection” “Winker operation” and the like are stored, and “Traffic environment and driving operation history” are stored as “turn signal operation on the right turn lane 5 m before the intersection”.

  Then, as shown in (1) of FIG. 1, the driving support device acquires “running on the right turn lane” as the traffic environment of the vehicle A from a car navigation device or a vehicle speed sensor mounted on the vehicle A. Subsequently, as shown in (2) of FIG. 1, the driving support device, as shown in the traffic environment “right turn lane”, the traffic rule “winker operation 30 meters before the intersection” and the traffic environment “right turn lane” driving operation history “intersection” "Winker operation 5m before" is acquired from the DB in the own device.

  And as shown to (3) of FIG. 1, since the driving operation history of a driver | operator is a winker operation at the time of a right turn, the said driver | operator has a slow turn signal operation at the time of the right turn, Determine that there is a risk of traffic violation. By doing so, the driving support apparatus according to the first embodiment can predict in advance whether or not to perform driving that violates the traffic rules based on the driver's habit, so that the traffic in the traffic environment in which the vehicle is actually traveling It is possible to accurately predict whether there is a possibility of causing a violation and reduce traffic accidents.

  Thereafter, for example, as shown in FIG. 1 (4), when the vehicle A arrives 30m before the intersection, the driving support device, if the turn signal operation of the vehicle A is not performed, A warning can be issued via a speaker or a display of a car navigation device.

[Configuration of driving support device]
Next, the configuration of the driving support apparatus according to the first embodiment will be described with reference to FIG. FIG. 2 is a block diagram illustrating the configuration of the driving support apparatus according to the first embodiment. As shown in FIG. 1, this driving support device 10 is a device that is mounted on an in-vehicle system 1 of a vehicle, and in particular, a driving operation detection unit 11, a traffic environment detection unit 12, and a driving support control (ECU) 20. And an advice notification unit 30 and a driving operation intervention unit 31.

(Connecting device)
First, another vehicle-mounted device connected to the driving support device 10 will be described. The driving support device 10 includes a throttle sensor 60, a vehicle speed sensor 61, a brake sensor 62, a winker sensor 63, a car navigation device 64, a GPS transmitter / receiver 65, a VICS transmitter / receiver 66, an inter-vehicle communication device 67, and a road-vehicle distance. It is connected to other devices such as a communication device 68, a radar 69, a camera 70, a speaker 71, a display 72, an accelerator 73, a brake 74, and a steering wheel 75. Note that the sensors and devices illustrated here are merely examples, and the present invention is not limited thereto, and various devices mounted on the in-vehicle system 1 are connected to the driving support device 10.

  The throttle sensor 60 is a sensor that detects the amount of air entering the engine, the vehicle speed sensor 61 is a device that detects the traveling speed of the vehicle, the moving distance of the vehicle, and the like, and the brake sensor 62 is connected to a brake pedal. The winker sensor 63 is a device for detecting operation information of the winker connected to the steering winker, and the car navigation device 64 has a display and the like with high accuracy. It is a device that can display a map and acquire road climbing conditions and traffic jam information.

  The GPS transmitter / receiver 65 is a device that can acquire the current position using a GPS satellite, and the VICS transmitter / receiver 66 transmits the road traffic information transmitted by the VICS center to an in-vehicle device such as a car navigation system. Or a figure (such as a map). The inter-vehicle communication device 67 is, for example, a device that transmits and receives various types of information (for example, traveling speed) with other vehicles, and the road-to-vehicle communication device 68 is connected to a communication device installed on the road shoulder. It is a device that transmits and receives various types of information (for example, construction information on a road on which it is traveling).

  The radar 69 is a device that measures the distance and direction from a reflected wave obtained by radiating electromagnetic waves to an object such as another vehicle, and the camera 70 is an object such as another vehicle. It is an apparatus which images.

  The speaker 71 is a device that is connected to audio or the like and outputs music or radio as an audio signal in the vehicle. The display 72 is a head-up display or the like that can display an image to the driver's seat. The brake 74 is a device that adjusts the speed of the vehicle by being stepped on by the driver, and the steering 75 is a steering device that arbitrarily changes the traveling direction.

(Configuration of driving support device)
Next, the configuration of the driving support device will be described. As described above, the driving support device 10 includes the driving operation detection unit 11, the traffic environment detection unit 12, the driving support control unit (ECU) 20, the advice notification unit 30, and the driving operation intervention unit 31. .

  The driving operation detection unit 11 is connected to a throttle sensor 60, a vehicle speed sensor 61, a brake sensor 62, a winker sensor 63, a car navigation device 64, a GPS transmitter / receiver 65, a VICS transmitter / receiver 66, and the like, and performs various operations of the driver's seat. It detects and outputs to the driving operation prediction part 22 mentioned later. Specifically, the driving operation detection unit 11 detects driving operations related to vehicle travel such as steering wheel operation, brake operation, accelerator operation, turn signal operation, and operations of AV equipment and TV as various operations of the driver's seat. The detected operation information is output to the driving operation prediction unit 22.

  The traffic environment detection unit 12 is connected to a GPS transmitter / receiver 65, a VICS transmitter / receiver 66, a vehicle-to-vehicle communication device 67, a road-to-vehicle communication device 68, a radar 69, a camera 70, and the like. Is output to the traffic violation prediction unit 23 and the traffic violation storage unit 24 described later. Specifically, the traffic environment detection unit 12 detects vehicles traveling around, road structures such as signs and traffic lights, road climbing information and traffic congestion information, and traffic violation prediction unit 23 and traffic violations. The data is output to the storage unit 24. For example, the traffic environment detection unit 12 uses the high-accuracy map information obtained from the car navigation device 64 as the traffic environment in which the vehicle is traveling, such as “National Highway No. 1, Right Turn Lane”, “National Highway No. 1”, “Pedestrian Crossing”. Detects "front".

  The driving support control unit (ECU) 20 is an electronic control device that provides driving support to the driver, and in particular, a storage unit 21, a driving operation prediction unit 22, a traffic violation prediction unit 23, and a traffic violation storage unit. 24.

  Among these, the storage unit 21 stores data and programs necessary for various processes performed by various functional units included in the driving support control unit 20, and in particular, a driving operation history DB 21a, a traffic rule DB 21b, and a traffic environment state DB 21c. Have

  The driving operation history DB 21a stores a driving operation history that the driver has operated in the past in the traffic environment in association with the traffic environment in which the vehicle travels. As a specific example, the driving operation history DB 21a is connected to the driving operation detecting unit 11, the driving operation predicting unit 22, and the like, and as shown in FIG. “Driving history” for driving in the past, such as “running right lane, turn signal operation 5m before intersection”, “yellow traffic light, passing at speed up” and “passing pedestrian crossing, passing without pause” I remember. In addition, the information memorize | stored here can be produced from the operation of the driver | operator acquired by the above-mentioned driving operation detection part 11 grade | etc.,. FIG. 3 is a diagram illustrating an example of information stored in the driving operation history DB.

  The traffic rule DB 21b stores traffic rules that the driver should observe in the traffic environment in association with the traffic environment in which the vehicle travels. As a specific example, the traffic rule DB 21b is connected to the traffic violation prediction unit 23 and the like, and as shown in FIG. “Traffic rules” ”are stored as“ turn right lane, turn signal operation 30 meters before the intersection ”,“ the traffic light is yellow, decelerate and stop ”,“ before the pedestrian crossing, and temporarily stop ”. The information stored here can be created from the information acquired by the road-to-vehicle communication device 68 or the like, or can be registered in advance. FIG. 4 is a diagram illustrating an example of information stored in the traffic rule DB.

  The traffic environment state DB 21c stores a traffic environment state that indicates the number of violations cleared in the traffic environment, the state of the road surface sign, and the state of the road shoulder sign in association with the traffic environment in which the vehicle travels. As a specific example, the traffic environment state DB 21c is connected to the traffic environment detection unit 12 and the like, and as shown in FIG. 5, “traffic environment where the vehicle travels”, “number of violation violations” in the traffic environment. "National road No. 1, 20, x, o", "National highway No. 1 (right turn lane), 11, x, x" or "Before crosswalk", 40 , ○, ○ ”, etc.

  In addition, the information memorize | stored here can also be produced from the information acquired by the above-mentioned traffic environment detection part 12, etc., and can also be registered beforehand. In addition, when “the road sign state” is “○”, this means that “the road sign is easy to see from the driver”, and “the road sign state” is “x”. This indicates that “the road surface sign is difficult to see from the driver”. Similarly, if the “roadside sign state” is “○”, it indicates that “the roadside sign is easy to see from the driver”, and the “roadside sign state” is “x”. , "It is difficult for the driver to see the roadside sign". FIG. 5 is a diagram illustrating an example of information stored in the traffic environment DB.

  The driving operation prediction unit 22 acquires the driving operation history corresponding to the traffic environment detected by the traffic environment detection unit 12 from the driving operation history DB 21a, and the driver of the vehicle in the traffic environment detected by the traffic environment detection unit 12 Predict possible driving operations. As a specific example, it is assumed that the driving environment prediction unit 22 detects “National Route 1 and right turn lane” as the traffic environment in which the host vehicle is traveling. In this case, the driving operation prediction unit 22 acquires the driving operation “winker operation 5 m before the intersection” corresponding to the detected traffic environment “right turn lane” from the driving operation history DB 21 a, and acquires the acquired driving operation “5 m before the intersection”. The “winker operation” is predicted as a driving operation that the driver of the vehicle can take. Then, the driving operation prediction unit 22 outputs the predicted driving operation “winker operation 5 m before the intersection” to the traffic violation prediction unit 23.

  Furthermore, the driving operation prediction unit 22 can further predict the driving operations that the vehicle driver can take in the traffic environment detected by the traffic environment detection unit 12 by further using the traffic environment stored in the traffic environment state DB 21c. it can. If it demonstrates using the above-mentioned example, suppose that the traffic environment detection part 12 detected "the national highway No. 1 line and the right turn lane" as a traffic environment which the own vehicle is drive | working. In this case, the driving operation prediction unit 22 corresponds to the detected traffic environment “National highway No. 1, right turn lane”, “National highway No. 1 (right turn lane)”, violation violation count = 11, road sign state = ×, “Roadside sign state = ×” is acquired from the traffic environment state DB 21c, and the driving operation “winker operation 5m before the intersection” corresponding to the detected traffic environment “right turn lane” is acquired from the driving operation history DB 21a. The driving operation predicting unit 22 is “road surface sign state = ×, road shoulder sign state = ×”, so the driver is more likely to miss the sign. It is predicted that a “winker operation 5 meters before the intersection” will be performed.

  In addition, for example, the driving operation prediction unit 22 corresponds to the detected traffic environment “National Highway No. 1, right turn lane”, “National Highway No. 1 (right turn lane), violation violation count = 11, road marking state = ○ It is assumed that the state of roadside sign = O ”is acquired from the traffic environment state DB 21c. In this case, the driving operation predicting unit 22 is “road surface sign state = ◯, road shoulder sign state = ○”, so there is a low possibility of overlooking signs such as “traffic violation detection enhanced section”. It is predicted that the “winker operation before the intersection 30 m” will be performed as the driving operation because the user's normal driving operation “winker operation 5 meters before the intersection” is low.

  The traffic violation predicting unit 23 acquires a traffic rule corresponding to the traffic environment detected by the traffic environment detecting unit 12 from the traffic rule DB 21 b, and converts the acquired traffic rule and the driving operation predicted by the driving operation predicting unit 22. Based on this, it is predicted whether or not the driver of the vehicle may cause a traffic violation. For example, “National highway No. 1, right turn lane” is detected by the traffic environment detection unit 12 as the traffic environment in which the vehicle is traveling, and “winker operation 5 m before the intersection” is predicted by the driving operation prediction unit 22 as the driving operation. Suppose. In this case, the traffic violation prediction unit 23 acquires the traffic rule “winker operation 30 m before the intersection” corresponding to the detected traffic environment “National Highway No. 1, right turn lane” from the traffic rule DB 21b. Since the predicted driving operation is “a blinker operation 5 m before the intersection” and the traffic rule is “a blinker operation 30 m before the intersection”, it is predicted that the driver is likely to commit a traffic violation.

  On the other hand, for example, “National highway No. 1, right turn lane” is detected by the traffic environment detection unit 12 as the traffic environment in which the vehicle is traveling, and “winker operation 30 m before the intersection” is driven by the driving operation prediction unit 22 as the driving operation. Suppose that it was predicted. In this case, the traffic violation prediction unit 23 acquires the traffic rule “winker operation 30 m before the intersection” corresponding to the detected traffic environment “National Route 1 and right turn lane” from the traffic rule DB 21b, and the predicted driving operation. Since the traffic rules are both “winker operation 30 meters before the intersection”, it is predicted that the driver is less likely to commit a traffic violation.

  The traffic violation storage unit 24 stores the traffic rules stored in the traffic rule DB 21 b in association with the traffic environment detected by the traffic environment detection unit 12 and the vehicle driver in the traffic environment detected by the traffic environment detection unit 12. When it is determined from the actually operated driving operation that the vehicle driver has caused a traffic violation, the driving operation history in the driving operation history DB 21a is associated with the traffic environment detected by the traffic environment detection unit 12 The driving operation actually operated by the user is newly stored.

  Specifically, the traffic environment detection unit 12 detects “before the crossing” as the traffic environment in which the vehicle is traveling. However, the “driving” corresponding to the traffic environment “before the crossing” is stored in the driving operation history DB 21a. It is assumed that the “operation history” is not stored and the driving support apparatus 10 cannot output a warning or the like for preventing traffic violation. In this case, the traffic violation storage unit 24 acquires the traffic rule “pause” stored in the traffic rule DB 21b in association with the traffic environment “before the crossing” detected by the traffic environment detection unit 12, and detects the traffic environment. In the traffic environment detected by the unit 12, the driving operation “decelerated and traveled” actually operated by the driver of the vehicle detected by the driving operation detection unit 11 is acquired. The traffic violation storage unit 24 determines that the driver of the vehicle has caused a traffic violation because the driving operation “decelerated and traveled” actually operated by the driver does not coincide with the traffic rule “pause”. Then, the traffic violation storage unit 24 associates with the traffic environment “before the crossing” detected by the traffic environment detection unit 12, and the driving operation “decelerates” that the driver actually operated in the driving operation history of the driving operation history DB 21 a. "Running" is newly stored.

  The advice notification unit 30 is connected to devices such as a speaker 71 and a display 72, and when the traffic violation prediction unit 23 predicts that the vehicle driver may cause a traffic violation, To notify the driver of the vehicle, or to advise the driver of the vehicle to avoid the traffic violation predicted by the traffic violation prediction unit 23.

  Specifically, when the traffic violation prediction unit 23 predicts that there is a possibility of causing a traffic violation in the traffic environment “National Highway No. 1 Road, right turn lane” in which the vehicle is traveling, the advice notification unit 30. , “Please observe traffic rules” or a warning sound is output via the speaker 71. Similarly, when the traffic violation prediction unit 23 predicts that there is a possibility of causing a traffic violation, the advice notification unit 30 outputs “please operate the blinker with 30m at the intersection” through the speaker 71. Or, an image may be displayed on the car navigation system, the TV display 72, or the like, "Please operate the turn signal with 30m at the intersection". Note that the advice notified here may be not only voice and images but also both voice and images, and image information (map information) showing a method for avoiding traffic violations.

  The driving intervention unit 31 is connected to devices such as the accelerator 73, the brake 74, and the steering 75, and is predicted when the traffic violation prediction unit 23 predicts that the vehicle driver may cause a traffic violation. Cars are forced to perform driving operations to avoid traffic violations. For example, the driving operation intervention unit 31 predicts by the traffic violation prediction unit 23 that a traffic violation may occur in the traffic environment “National Highway No. 1, right turn lane” in which the vehicle is traveling. In such a case, the predicted traffic violation is avoided by “forcibly operating the turn signal of the steering wheel 75 with an effort of 30 m at the intersection”. Further, for example, the driving operation intervention unit 31 may be used when the traffic violation prediction unit 23 predicts that there is a risk of causing a traffic violation in the traffic environment “before the pedestrian crossing” in which the host vehicle is traveling. The predicted traffic violation is avoided by “gradually decelerating the vehicle speed and temporarily stopping in front of the pedestrian crossing” via 73 and the brake 74.

[Processing by driving support device]
Next, processing performed by the driving assistance apparatus according to the first embodiment will be described with reference to FIGS. Here, first, after explaining the overall outline of the processing by the driving support apparatus according to the first embodiment with reference to FIG. 6, the flow of the processing will be described with specific examples using FIG. 7 and FIG. 8. explain.

(Overview of processing by the driving support device)
First, with reference to FIG. 6, an overall outline of processing by the driving support apparatus according to the first embodiment will be described. FIG. 6 is a flowchart illustrating the flow of processing performed by the driving support apparatus according to the first embodiment.

  As shown in FIG. 6, when reaching the trigger for the prediction start such as when the engine starts and the vehicle starts to travel or the operation start button is pressed by the driver (Yes in step S101), the driving support device 10 The traffic environment in which the vehicle is traveling is detected using other in-vehicle devices and various sensors mounted on the vehicle (step S102).

  The driving support device 10 that has detected the traffic environment acquires the driving operation history corresponding to the detected traffic environment from the driving operation history DB 21a (step S103), and the driving operation that the vehicle driver can take in the detected traffic environment. Is predicted (step S104).

  Thereafter, the driving support device 10 that has predicted the driving operation determines whether or not the driver may commit a traffic violation based on the predicted result (step S105).

  When the driving support device 10 determines that the driver may commit a traffic violation (Yes in step S105), the driving support device 10 outputs advice or a warning to the driver or avoids a traffic violation. Driving assistance (driving intervention) is performed (step S106).

  On the other hand, when it is determined that there is no possibility that the driver will commit a traffic violation (No at Step S105), the driving support device 10 ends the process. This process is executed as long as the vehicle is traveling. That is, to end the process means to return to step S101 and newly execute the process.

(Processing flow using right turn lane as an example)
Next, the processing flow described in FIG. 6 will be described using the right turn lane as an example with reference to FIG. FIG. 7 is a flowchart illustrating the flow of the assistance process on the right turn lane by the driving assistance apparatus according to the first embodiment.

  As illustrated in FIG. 7, as in FIG. 6, when the trigger for starting the prediction is reached (Yes in Step S <b> 201), the driving support device 10 detects the traffic environment in which the vehicle is traveling from the car navigation device 64 (Step S <b> 202). ), It is determined whether or not the vehicle is currently traveling in a right turn lane (step S203).

  Then, the driving support device 10 that has determined that the vehicle is traveling on the right turn lane acquires the traffic rule “winker operation 30 m before the intersection” corresponding to the “right turn lane” from the traffic rule DB 21b and corresponds to the “right turn lane”. The driver's driving operation history “winker operation 5 m before the intersection” is acquired from the driving operation history DB 21a (Yes in Step S203 and Step S204).

  Then, the driving assistance device 10 determines whether the winker operation should be performed at the local point (step S205) and whether the driver has already performed the winker operation (step S206). That is, in step S205, it is determined whether or not the vehicle is located 30m before the intersection at the local point. In step S206, it is determined whether or not the driver has already performed the blinker operation regardless of the driving operation history. Judgment.

  Then, the driving support device 10 determines that the winker operation should be performed at the local point (Yes at Step S205), and if it is determined that the driver does not operate the winker operation (No at Step S206), a traffic violation occurs. It is determined whether there is a fear (step S207). That is, in step S207, the driving support device 10 predicts the driving operation of the driver from the traffic rules, the driving operation history, and the traffic environment state (for example, how the sign is seen), which may cause a traffic violation. It is determined whether or not.

  Thereafter, when the driving assistance device 10 determines that there is a risk of a traffic violation (Yes at Step S207), the driving assistance device 10 forcibly performs a right turn signal operation at a point 30 meters before the intersection (Step S208).

  On the other hand, when the driving support device 10 determines that the vehicle is not currently traveling on the right turn lane (No at Step S203), when it is determined that the turn signal operation should not be performed at the local point (No at Step S205), the driver When it is determined that the winker operation is performed (Yes at Step S206), when it is determined that there is no fear of traffic violation (No at Step S207), the process is terminated.

(Processing flow using an invisible signal as an example)
Next, referring to FIG. 8, a description will be given of an example of a traffic light that makes it difficult to see the flow of processing described in FIG. FIG. 8 is a flowchart illustrating a flow of support processing in a traffic light that is difficult to see by the driving support device according to the first embodiment.

  As shown in FIG. 8, as in FIG. 6, when the trigger for starting the prediction is reached (Yes in step S <b> 301), the driving support device 10 determines that the traffic environment in which the vehicle is traveling from the image captured by the camera 70 is “signal. Is detected (step S302), and it is determined whether or not the color of the traffic light has been determined (step S303).

  The driving support device 10 that cannot determine the color of the traffic light further determines whether or not a pedestrian signal having the same traveling direction is blinking from the image captured by the camera 70 (No in step S303 and step S304). Subsequently, when it is determined that the pedestrian signal is not blinking (No at Step S304), the driving support device 10 determines whether the pedestrian signal is blue (Step S305).

  When the driving support device 10 determines that the pedestrian signal is blinking (Yes at Step S304) or cannot determine that the pedestrian signal is blue (No at Step S305), the traffic environment “walking in the same traveling direction” It is determined whether or not the driver can predict that the vehicle will decelerate by acquiring traffic rules and driving history based on “pedestrian signal = flashing” or “pedestrian signal with the same traveling direction = red or yellow” (step S306).

  Subsequently, when the driver cannot predict that the driver will decelerate (No at Step S306), the driving support device 10 determines whether or not the signal at the time of entering the intersection is a green signal from the image captured by the camera 70 when entering the intersection (Step S306). S307).

  Then, when the driving support device 10 determines that the signal at the time of entering the intersection is other than the green signal (No at Step S307), the traffic rule “Traffic rule and driving history based on the traffic signal“ signal at the time of entering the intersection = blue signal (red or yellow) ”. And the driver determines whether or not there is a risk of making a traffic violation (step S308).

  Thereafter, when it is determined that the driver may commit a traffic violation (Yes at Step S308), the driving assistance device 10 forcibly executes deceleration advice or warning to the driver or brake control (Step S309). ).

  On the other hand, when the color of the traffic light can be determined (Yes at Step S303), the driving support device 10 can predict that the driver will decelerate when the pedestrian signal with the same traveling direction is a green signal (Yes at Step S305) ( If the signal at the time of entering the intersection is a green light (Yes at Step S307), or if it is determined that there is no risk of traffic violation (No at Step S308), the process ends.

[Effects of Example 1]
As described above, according to the first embodiment, the driving operation history corresponding to the detected traffic environment is acquired from the driving operation history DB 21a, and the driving operation that the vehicle driver can take in the detected traffic environment is predicted. The traffic rule corresponding to the detected traffic environment is acquired from the traffic rule DB 21b, and whether the driver of the vehicle may cause a traffic violation based on the acquired traffic rule and the predicted driving operation. Can be predicted. As a result, it is possible to accurately predict whether there is a possibility of causing a traffic violation and to reduce traffic accidents. In other words, since driving assistance can be performed by determining the driver's habit, it is possible to accurately predict whether there is a possibility of causing a traffic violation and reduce traffic accidents.

  In addition, according to the first embodiment, it is possible to improve the driving manners of the driver, and the influence on other vehicles traveling in the vicinity is small, and the induction of a traffic accident can be prevented. In addition, traffic violations can be accurately predicted regardless of the road environment, such as no traffic lights or signs, so it is possible to prevent driver traffic violations and reduce traffic accidents. .

  Further, according to the first embodiment, when it is predicted that the driver of the vehicle may cause a traffic violation, a warning can be notified to the driver of the vehicle. As a result, the driver is more likely to avoid traffic violations, and prevention of traffic violations can be promoted.

  Further, according to the first embodiment, when it is predicted that the vehicle driver may cause a traffic violation, the vehicle driver can be notified of advice for avoiding the predicted traffic violation. it can. As a result, the driver can easily recognize the driving operation for avoiding the traffic violation, and can prevent the traffic violation.

  In addition, according to the first embodiment, when it is predicted that the driver of the vehicle may cause a traffic violation, the driving operation for avoiding the predicted traffic violation is forcibly performed on the vehicle. be able to. As a result, traffic violations can be forcibly avoided and traffic accidents can be further reduced.

  Further, according to the first embodiment, the vehicle is based on the acquired traffic rules, the predicted driving operation, and the traffic environment state stored in the traffic environment state DB 21c specified by the detected traffic environment. It is possible to predict whether or not the driver of the vehicle may cause a traffic violation. As a result, it is possible to predict more accurately whether there is a possibility of causing a traffic violation.

  In addition, according to the first embodiment, the vehicle is stored in the traffic rule DB 21b in association with the detected traffic environment and the driving operation actually performed by the driver of the vehicle in the detected traffic environment. When it is determined that the driver has caused a traffic violation, the driving operation actually operated by the driver can be newly stored in the driving operation history of the driving operation history DB 21a in association with the detected traffic environment. . As a result, every time the driver causes a traffic violation, it can be recorded as a new driving operation history, and the accuracy of determining whether or not there is a possibility of causing the traffic violation can be improved.

  By the way, the driving assistance device which this application discloses can verify a factor and memorize it as a new traffic environment, when a vehicle causes traffic violation.

  Specifically, when it is determined that the driver of the vehicle has caused a traffic violation, the driving support device 10 has caused the traffic violation in the traffic environment in which the vehicle is traveling (for example, National Route 2). The traffic environment state at the time is detected, it is determined that the acquired traffic environment state (for example, a sign is difficult to see) is a factor causing the traffic violation, and the traffic environment (for example, national highway 2) of the traffic environment state DB 21c is determined. The traffic environment state (for example, the sign is difficult to see) is newly stored in association with the route.

  Specifically, as shown in FIG. 9, the driving support device 10 uses the traffic rules stored in the traffic rule DB 21 b in association with the traffic environment detected by the traffic environment detection unit 12, and the traffic environment detection unit 12. When it is determined from the driving operation actually operated by the vehicle driver in the detected traffic environment that the vehicle driver has caused a traffic violation (Yes in step S401), the vehicle is mounted on the vehicle as traffic environment information. The number of violations in the traffic environment, the state of the road surface sign, and the state of the road shoulder sign are detected from the road-to-vehicle communication device and various sensors (step S402).

  Subsequently, the driving support device 10 acquires the driving operation actually operated by the driver determined to be a traffic violation (step S403), verifies the cause of the traffic violation (step S404), and determines the driving operation history DB 21a or the like. The traffic environment state DB 21c and the like are updated (step S405). If it is not determined that the driver of the vehicle has caused a traffic violation, that is, if the driver has not caused a traffic violation (No in step S401), the driving support device 10 ends the process. FIG. 9 is a flowchart showing the flow of traffic violation verification processing.

  By doing in this way, the sign information etc. of the road on which the vehicle travels can be stored, and the possibility that the driver will cause a traffic violation can be determined more accurately.

  Although the embodiments of the present invention have been described so far, the present invention may be implemented in various different forms other than the embodiments described above. Therefore, as shown below, (1) driving support examples, (2) system configurations, and the like (3) different examples will be described by dividing them into programs.

(1) Driving assistance examples For example, the driving assistance device disclosed in the present application can perform many driving assistances in addition to those described in the first and second embodiments. Here, an example in which driving assistance is performed by the driving assistance device disclosed in the present application by using the above-described configuration and flow will be described. However, what is described here is merely an example, and driving assistance can be performed in addition to this.

  For example, the driving support device 10 can warn the driver even when the driving operation detection unit 11 detects that the driver of the own vehicle has operated a mobile phone or the like by wireless communication or the like. Further, the driving support device 10 detects that the host vehicle is traveling on a straight road by the traffic environment detection unit 12, and even if it is stored in the traffic environment state DB 21 c that there are many speed violations, A warning can be given. In addition, the driving support device 10 can notify the driver of advice by storing in the traffic environment state DB 21c the time limit for prohibiting the traveling out of the designated direction, which is often overlooked by the driver, in the traffic environment state DB 21c.

(2) System configuration, etc. Further, of all the processes described in the present embodiment, all or a part of the processes described as being automatically performed (for example, analyzing an image captured by a camera) is manually performed. Can also be done. In addition, the processing procedure, control procedure, specific name, and information including various data and parameters shown in the above-mentioned document and drawings can be arbitrarily changed unless otherwise specified.

  Each component of each illustrated device is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. It can be configured by integrating (for example, integrating a traffic violation prediction unit and a traffic violation storage unit). Further, all or any part of each processing function performed in each device may be realized by a CPU and a program analyzed and executed by the CPU, or may be realized as hardware by wired logic.

(3) Program The driving support method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program can be distributed via a network such as the Internet. The program can also be executed by being recorded on a computer-readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, and a DVD and being read from the recording medium by the computer.

  As described above, the driving support device and the driving support program according to the present invention are useful for supporting driving of a vehicle, and in particular, accurately predicting whether or not there is a possibility of causing a traffic violation. Suitable for reducing accidents.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram for explaining an overview of a driving support apparatus according to a first embodiment. 1 is a block diagram illustrating a configuration of a driving support apparatus according to a first embodiment. It is a figure which shows the example of the information memorize | stored in driving operation log | history DB. It is a figure which shows the example of the information memorize | stored in traffic rule DB. It is a figure which shows the example of the information memorize | stored in traffic environment DB. 4 is a flowchart illustrating a flow of processing by the driving support apparatus according to the first embodiment. 6 is a flowchart illustrating a flow of assistance processing in a right turn lane by the driving assistance apparatus according to the first embodiment. 4 is a flowchart illustrating a flow of support processing at a traffic light that is difficult to see by the driving support device according to the first embodiment. It is a flowchart which shows the flow of a traffic violation verification process.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 In-vehicle system 10 Driving assistance device 11 Driving operation detection part 12 Traffic environment detection part 20 Driving assistance control part (ECU)
21 storage unit 21a driving operation history DB
21b Traffic Rules DB
21c Traffic Environment Status DB
22 driving operation prediction unit 23 traffic violation prediction unit 24 traffic violation storage unit 30 advice notification unit 31 driving operation intervention unit 60 throttle sensor 61 vehicle speed sensor 62 brake sensor 63 turn signal sensor 64 car navigation device 65 GPS transmitter / receiver 66 VICS transmitter / receiver 67 vehicle Inter-vehicle communication device 68 Road-to-vehicle communication device 69 Radar 70 Camera 71 Speaker 72 Display 73 Accelerator 74 Brake 75 Steering

Claims (8)

A driving support device mounted on a vehicle and supporting driving of the vehicle,
A traffic rule storage means for storing a traffic rule to be observed by a driver in the traffic environment in association with the traffic environment in which the vehicle is traveling;
In association with the traffic environment, driving operation history storage means for storing a driving operation history that the driver has operated in the past in the traffic environment;
Environment detecting means for detecting a traffic environment in which the vehicle is traveling;
A driving operation history corresponding to the traffic environment detected by the environment detection unit is acquired from the driving operation history storage unit, and driving operations that can be performed by the driver of the vehicle in the traffic environment detected by the environment detection unit are performed. Driving operation prediction means to predict;
A traffic rule corresponding to the traffic environment detected by the environment detection unit is acquired from the traffic rule storage unit, and based on the acquired traffic rule and the driving operation predicted by the driving operation prediction unit, the vehicle A traffic violation prediction means for predicting whether a driver may cause a traffic violation,
A driving support apparatus comprising:   When the traffic violation prediction means predicts that the driver of the vehicle may cause a traffic violation, the traffic violation prediction means further comprises warning notification means for notifying the driver of the vehicle. The driving support device according to claim 1.   An avoidance method for notifying the driver of the vehicle of advice for avoiding the predicted traffic violation when the traffic violation prediction means predicts that the driver of the vehicle may cause a traffic violation. The driving support apparatus according to claim 1, further comprising a notification unit.   An operation for forcibly performing a driving operation on the vehicle to avoid the predicted traffic violation when it is predicted by the traffic violation prediction means that the driver of the vehicle may cause a traffic violation. The driving support device according to any one of claims 1 to 3, further comprising intervention means. Corresponding to the traffic environment in which the vehicle travels, the vehicle further comprises traffic environment state storage means for storing at least one of the number of violations in the traffic environment, the state of the road surface sign, the state of the road shoulder sign,
The traffic violation prediction means includes the traffic rules acquired from the traffic rule storage means, the driving operation predicted by the driving operation prediction means, and the traffic specified by the traffic environment detected by the environment detection means. 5. The vehicle according to claim 1, wherein the vehicle driver predicts whether or not the vehicle driver may cause a traffic violation based on a traffic environment state stored in an environmental state storage unit. The driving support device according to one.   A traffic rule stored in the traffic rule storage unit in association with the traffic environment detected by the environment detection unit, and a driving operation actually performed by a vehicle driver in the traffic environment detected by the environment detection unit; From the above, when it is determined that the driver of the vehicle has caused a traffic violation, the driver actually records the driving operation history in the driving operation history storage unit in association with the traffic environment detected by the environment detecting unit. The driving support apparatus according to claim 1, further comprising a violation storage unit that newly stores the operated driving operation. Traffic environment state detecting means for detecting the number of violations in the traffic environment, the state of road surface signs, the state of road shoulder signs, and
When the violation storage means determines that the driver of the vehicle has caused a traffic violation, the traffic environment state detected by the traffic environment state detection means at the time of causing the traffic violation is stored in the traffic environment state storage. The driving support device according to any one of claims 1 to 6, further comprising violation status storage means for newly storing the information in association with the traffic environment of the means. A driving support program mounted on a vehicle and executed by a computer as a driving support device for supporting driving of the vehicle,
An environment detection procedure for detecting a traffic environment in which the vehicle is traveling;
A driving operation history corresponding to the traffic environment detected by the environment detection procedure is associated with the traffic environment, and a driving operation history storage unit that stores a driving operation history of a driving operation in the past by the driver in the traffic environment. A driving operation prediction procedure for acquiring and predicting a driving operation that the driver of the vehicle can take in the traffic environment detected by the environment detection procedure;
The traffic rule corresponding to the traffic environment detected by the environment detection procedure is acquired from the traffic rule storage unit that stores the traffic rule that the driver should observe in the traffic environment in association with the traffic environment in which the vehicle travels. A traffic violation prediction procedure for predicting whether the driver of the vehicle may cause a traffic violation based on the acquired traffic rules and the driving operation predicted by the driving operation prediction procedure;
A driving support program for causing a computer to execute.

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