JP2017142642A - Travelling support method, program, and travelling support device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To conduct an appropriate travelling support in accordance with congestion prediction in various kinds of travelling environments or the travelling environment as basis for the congestion prediction, or the like.SOLUTION: A travelling support device 10 comprises: a three-dimensional acceleration sensor 14; an information presentation control unit 26; a display device 16; a congestion prediction unit 24; and a decision unit 25. The congestion prediction unit 24 acquires congestion sign information based on a change in acceleration acquired by the three-dimensional acceleration sensor 14. The decision unit 25 acquires road attribute information indicative of an attribute of a road where the travelling support device 10 is located on the basis of information on a location of the travelling support device 10 acquired by a current location acquisition unit 13. The decision unit 25 decides whether the congestion sign information is based on congestion arising from the road attribute information. The information presentation control unit 26 changes a content of information presentation by the display device 16 in accordance with whether the congestion sign information is based on the congestion arising from the road attribute information.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a driving support method, a program, and a driving support device.

  Conventionally, a traffic jam prediction method is known in which a single regression line is calculated by performing a single regression analysis on the power spectrum of the acceleration of a vehicle, and a traffic jam is predicted based on the slope maximum value of the single regression line (for example, Patent Document 1). reference).

International Publication No. 2012/081209

  By the way, when the traffic jam prediction method according to the above-described prior art is applied to vehicles that actually travel on various roads, the traffic jam prediction may change due to road attributes. In connection with this, it is desired to perform appropriate driving support according to traffic jam prediction in various driving environments or the driving environment that is the basis of the traffic jam prediction.

  The present invention has been made in view of the above circumstances, and a driving support method, a program, and a program capable of performing appropriate driving support according to traffic jam prediction in various driving environments or a driving environment as a basis for the traffic jam prediction, and the like An object is to provide a driving support device.

In order to solve the above problems and achieve the object, the present invention employs the following aspects.
(1) A driving support method according to one aspect of the present invention includes a position information acquisition unit (for example, a current position acquisition unit 13 in the embodiment) that acquires position information, and an acceleration acquisition unit (for example, implementation) that acquires acceleration. 3D acceleration sensor 14) in the form, and an electronic device (for example, in the above-described embodiment) including an instruction unit (for example, the information presentation control unit 26 and the display device 16 in the embodiment) that instructs execution of the driving support operation. A travel support method executed by the travel support device 10), wherein the electronic device acquires traffic jam sign information based on the change in the acceleration acquired by the acceleration acquisition unit (for example, the traffic jam sign information acquisition step described above). In step S07), the electronic device is connected to the road where the electronic device is located based on the position information acquired by the position information acquisition unit. A road attribute information acquisition step (for example, step S06 in the above-described embodiment) for acquiring road attribute information indicating the nature, and the electronic device is due to traffic jam caused by the traffic attribute sign information. In response to a determination step (for example, step S08 in the above-described embodiment) for determining whether or not the traffic jam sign information is due to traffic jam caused by the road attribute information, the instruction unit And a driving support step (for example, step S09 to step S14 in the above-described embodiment) for changing the content of the driving support operation.

(2) In the driving support method according to the above (1), the road attribute information may be information related to a road structure, a road state, a positional relationship with surrounding buildings, and the like.

(3) In the driving support method according to the above (1) or (2), the electronic device acquires a speed acquisition step (for example, step S05 in the above-described embodiment) and the driving support step. In the case where the traffic jam sign information is not due to the traffic attributed to the road attribute information and the speed is less than a predetermined speed, the instruction unit may set the content of the driving support operation as content corresponding to the occurrence of the traffic jam. Good.

(4) In the driving support method according to (1) or (2) above, the electronic device performs a speed acquisition step (for example, step S05 in the above-described embodiment) in which the speed is acquired, and the driving support step. When the traffic jam sign information is not due to the traffic attribute attributed to the road attribute information and the speed is equal to or higher than a predetermined speed, the instruction unit corresponds to the traffic jam sign before the traffic jam occurs. It is good also as contents to do.

(5) A program according to an aspect of the present invention includes a position information acquisition unit (for example, a current position acquisition unit 13 in the embodiment) that acquires position information, and an acceleration acquisition unit (for example, in the embodiment) that acquires acceleration. 3D acceleration sensor 14) and an electronic device (for example, traveling in the above-described embodiment) including an instruction unit (for example, the information presentation control unit 26 and the display device 16 in the embodiment) that instructs execution of the driving support operation. A traffic jam sign information acquisition step (for example, step S07 in the above-described embodiment) for acquiring traffic jam sign information based on the change in acceleration acquired by the acceleration acquisition unit in a computer of an electronic device including the support device 10). Acquiring road attribute information indicating an attribute of a road on which the electronic device is located based on the position information acquired by the position information acquisition unit A road attribute information acquisition step (for example, step S06 in the above-described embodiment) and a determination step for determining whether or not the traffic jam sign information is due to traffic jam caused by the road attribute information (for example, the above-described implementation) Step S08) in the form, and a driving support step for changing the content of the driving support operation to the instruction unit according to whether or not the traffic jam sign information is due to the traffic jam caused by the road attribute information (for example, , Step S09 to step S14) in the above-described embodiment are executed.

(6) In the program described in (5) above, the road attribute information may be information related to a road structure, a road state, a positional relationship with surrounding buildings, and the like.

(7) In the program according to the above (5) or (6), the computer of the electronic device executes a speed acquisition step (for example, step S05 in the above-described embodiment) for acquiring a speed, and the driving support In the step, when the traffic jam sign information is not due to the traffic attribute attributed to the road attribute information and the speed is less than a predetermined speed, the content corresponding to the occurrence of the traffic jam is indicated in the instruction unit. It may be changed to.

(8) In the program according to the above (5) or (6), the computer of the electronic device executes a speed acquisition step (for example, step S05 in the above-described embodiment) for acquiring the speed, and the driving support In the step, when the traffic jam sign information is not due to the traffic attribute attributed to the road attribute information and the speed is equal to or higher than a predetermined speed, the content of the driving support operation is displayed in the instruction unit before the traffic jam sign. You may change to the content corresponding to.

(9) A travel support apparatus according to an aspect of the present invention includes a position information acquisition unit (for example, a current position acquisition unit 13 in the embodiment) that acquires position information, and an acceleration acquisition unit (for example, an acceleration acquisition unit). The three-dimensional acceleration sensor 14) in the embodiment, an instruction unit (for example, the information presentation control unit 26 and the display device 16 in the embodiment) that instructs execution of the driving support operation, and the acceleration acquisition unit A traffic jam sign information acquisition unit (for example, a traffic jam prediction unit 24 in the embodiment) that acquires traffic jam sign information based on a change in acceleration, and the position information acquisition based on the position information acquired by the position information acquisition unit A road attribute information acquisition unit (for example, a determination unit 25 in the embodiment) that acquires road attribute information indicating an attribute of a road where the unit is located, and a traffic jam caused by the traffic jam sign information due to the road attribute information A determination unit (for example, a determination unit 25 in the embodiment) that determines whether or not the traffic jam is caused by traffic congestion due to the road attribute information. Depending on whether or not, the content of the driving support operation is changed.

(10) In the driving support device according to (9), the road attribute information may be information related to a road structure, a road state, a positional relationship with surrounding buildings, and the like.

(11) The travel support apparatus according to (9) or (10) includes a speed acquisition unit (for example, a speed calculation unit 20 in the embodiment) that acquires a speed, and the instruction unit includes the traffic jam sign information. However, when the speed is less than a predetermined speed, the content of the driving support operation may be the content corresponding to the occurrence of the traffic jam.

(12) The travel support apparatus according to (9) or (10) includes a speed acquisition unit (for example, a speed calculation unit 20 in the embodiment) that acquires a speed, and the instruction unit includes the traffic jam sign information. However, when the speed is equal to or higher than a predetermined speed, the content of the driving support operation may be the content corresponding to the traffic jam sign before the traffic jam occurs.

According to the above (1), (5), or (9), the traffic jam caused by the driving operation of the driver of the vehicle and the traffic jam caused by the road attribute information regardless of the driving operation of the driver are discriminated. Thus, the content of the driving support operation can be changed. Since the traffic jam caused by the driving operation of the driver can be avoided or suppressed by the driving support operation, the traffic jam sign information can be effectively used for driving support.
Even if it is difficult to detect the difference between the change in acceleration caused by the driver's driving operation and the change in acceleration caused by the road attribute, the road operation information can be used for the driving operation. It is possible to appropriately determine the traffic jam caused by the traffic and the traffic jam caused by the attribute of the road.

  Further, in the case of (2), (6), or (10) above, the traffic jam caused by the road attribute information is influenced by the road bottleneck such as the road structure, the road condition, and the positional relationship between the surrounding buildings and the road. It is a traffic jam that occurs. Congestion caused by road attribute information occurs regardless of the driving operation of the driver of the vehicle, so by excluding it from the target of driving support based on the traffic congestion predictor information, the traffic congestion can be avoided or suppressed. The traffic jam sign information can be used.

  Further, in the case of the above (3), (7), or (11), if the traffic jam sign information is not due to traffic jams caused by the road attribute information, it is possible to avoid traffic jams by driving support based on the traffic jam sign information or Suppression is possible. Even if the traffic jam sign information is due to traffic congestion that can be avoided or suppressed due to the driving operation of the driver, if the traffic jam has already fallen into a traffic jam flow, it does not suppress the traffic jam occurrence, but the traffic jam occurrence status Appropriate driving support can be provided depending on the content corresponding to As contents corresponding to the occurrence of traffic jams, for example, it is possible to provide driving support for allowing the driver to grasp the presence of traffic jams in advance and driving support for avoiding traffic jams.

  Further, in the case of the above (4), (8), or (12), when the traffic jam sign information is not due to traffic jams caused by the road attribute information, it is possible to avoid traffic jams by driving support based on the traffic jam sign information or Suppression is possible. If the traffic jam sign information is based on the critical state before the occurrence of a traffic jam that can be avoided or suppressed due to the driving operation of the driver, provide appropriate driving support according to the content corresponding to the traffic jam sign before the traffic jam occurs Can do.

It is a block diagram of the driving assistance apparatus which implement | achieves the driving assistance method which concerns on embodiment of this invention. It is a figure which shows an example of the difference of the vector of the acceleration which concerns on embodiment of this invention. It is a figure which shows an example of the acceleration spectrum which concerns on embodiment of this invention. It is a figure which shows the example according to the embodiment of this invention of the fluctuation | variation according to the time of the acceleration and spectrum angle, and an average behavior. It is a figure which shows typically the transition of the state between the state just before the traffic congestion concerning the embodiment of this invention, and the state of traffic jam generation. It is a flowchart which shows the driving assistance method which concerns on embodiment of this invention. It is a block diagram of the driving assistance system which implement | achieves the driving assistance method which concerns on the modification of embodiment of this invention. It is a flowchart which shows the driving assistance method which concerns on the modification of embodiment of this invention. It is a flowchart which shows the network operation | movement shown in FIG.

DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, an embodiment of a driving support method, a program, and a driving support apparatus according to the invention will be described with reference to the accompanying drawings.
The driving support device 10 according to the present embodiment is mounted on, for example, a mobile terminal carried by a passenger of a moving body such as a vehicle, an information device detachably mounted on a moving body such as a vehicle, or a moving body such as a vehicle in advance. Electronic devices such as navigation devices.
The driving support device 10 can perform two-way communication with an external device by wireless communication via a communication network such as an ad hoc mode or an infrastructure mode. For example, the driving support device 10 performs two-way communication with the driving support device 10 of another vehicle by inter-vehicle communication in an ad-hoc mode. The driving support device 10 performs bidirectional communication with an external device via a base station, for example, by infrastructure mode wireless communication.

  The driving support device 10 includes a device communication device 11, a positioning signal receiver 12, a current position acquisition unit 13, a three-dimensional acceleration sensor 14, an input device 15, a display device 16, a device control unit 17, and a map. And a data storage unit 18.

  The device communication device 11 can communicate with an external device via various wireless communication network systems, and transmits and receives various signals. The communication between the driving support device 10 and the external device is not limited to the above communication form, and other communication such as communication via a communication satellite may be employed.

The positioning signal receiver 12 is a positioning used in a positioning system (for example, Global Positioning System: GPS or Global Navigation Satellite System: GNSS) for measuring the position of the driving support device 10 using, for example, an artificial satellite. Receive a signal.
The current position acquisition unit 13 detects the current position of the driving support device 10 using the positioning signal received by the positioning signal receiver 12.

  The three-dimensional acceleration sensor 14 is a three-axis acceleration sensor having a so-called three-axis number of detection axes, and the X-axis forming the acceleration generated in the driving support device 10 in a three-dimensional space orthogonal coordinate system in a predetermined sampling period , Y-axis, and Z-axis acceleration in each axial direction.

The input device 15 includes, for example, a switch, a touch panel, a keyboard, a voice input device, and the like, and outputs signals according to various input operations by the operator.
The display device 16 is, for example, various displays such as a liquid crystal display device, and displays various information output from the device control unit 17.

The device control unit 17 controls various operations of the driving support device 10.
The device control unit 17 includes a speed calculation unit 20, an input data calculation unit 21, a frequency analysis unit 22, a single regression line calculation unit 23, a traffic jam prediction unit 24, a determination unit 25, and an information presentation control unit 26. It has.

  The speed calculation unit 20 calculates the speed V of the driving support device 10 using the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14.

The input data calculation unit 21 calculates an acceleration vector (acceleration vector) A in a three-dimensional space using the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14. Then, the norm u of the difference (acceleration vector difference) ΔA between two different timing vectors with a time interval such as the sampling period ΔT is calculated as input data to be input to the frequency analysis unit 22.
As shown in FIG. 2, the input data calculation unit 21, for example, has an acceleration vector A (t) = (ax _t , ay _t , az _t ) at an appropriate time t and a sampling period ΔT before this time t. Acceleration vector A (t−ΔT) = (ax _t−ΔT , ay _t−ΔT , az _t−ΔT ) at time t−ΔT at the time t−ΔT, the acceleration vector difference ΔA = A (t) −A (t−ΔT) Is calculated. Then, as shown in the following formula (1), a norm u _t of the acceleration vector difference ΔA is calculated.
Note that the buffer size of a buffer (not shown) that can store acceleration information in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14, that is, the number of samples of acceleration information is For example, an appropriate setting screen displayed on the display device 16 can be appropriately set by the operator.

The frequency analysis unit 22 performs frequency analysis on the input data calculated by the input data calculation unit 21 and calculates a power spectrum (acceleration spectrum) corresponding to the frequency.
For example, the frequency analysis unit 22 calculates the autocorrelation of the input data by using the number of input / output points of the input data with respect to the frequency analysis and the autocorrelation delay number. Then, an acceleration spectrum is calculated by performing a fast Fourier transform on the autocorrelation. The number of input / output points of input data for frequency analysis, the number of autocorrelation delays, and the selection of whether or not to subtract the average value from the autocorrelation input value are, for example, an appropriate setting screen displayed on the display device 16, etc. It can be set by the operator.
For example, the frequency analysis unit 22 calculates the acceleration spectrum for a predetermined period by performing autocorrelation calculation and fast Fourier transform on the input / output points of the input data calculated by the input data calculation unit 21 at the sampling period ΔT. .

The single regression line calculation unit 23 calculates a single regression line in a predetermined frequency range of the acceleration spectrum calculated by the frequency analysis unit 22, and converts the inclination of the single regression line into information on an angle (spectrum angle).
For example, in chaos theory, the influence of a power spectrum at a low frequency is larger than a high frequency on the prediction of a traffic jam. For this reason, as shown in FIG. 3, the single regression line calculation unit 23 performs the minimum two for the acceleration spectrum in the low frequency region (for example, the frequency region above the lower limit frequency fa and below the predetermined frequency fb) of the predetermined frequency fb or less. A single regression line L is calculated by multiplication or the like. Then, the calculated inclination of the single regression line L (that is, the inclination with respect to the axial direction assuming that the axial direction of the frequency is zero) is converted into information of angle (spectral angle) θ.

For example, as the spectral angle θ increases in the minus direction (decrease direction of the acceleration spectrum) (that is, as the absolute value increases with a minus sign), the delay in the dynamic time response of acceleration and deceleration increases. However, the speed variation increases. As a result, it becomes difficult to limit the driving range in which the vehicle's energy efficiency (such as fuel efficiency or power consumption) is prioritized, and traffic congestion is likely to occur and the energy efficiency is lowered.
For example, when the absolute value of the spectrum angle θ is small, this corresponds to a case where the shock wave (vibration, fluctuation) received by the vehicle moving with the driving support device 10 from the preceding vehicle is small. This corresponds to a case where it is easy to perform synchronized driving with a weak influence, that is, there is little possibility of traffic jam.
Conversely, when the absolute value of the spectral angle θ is large, this corresponds to a case where the vehicle moving together with the travel support device 10 receives a large shock wave (vibration, fluctuation) from the preceding vehicle, and the reaction delay with respect to the preceding vehicle is large, and the synchronized traveling Corresponds to a case in which it is difficult to affect traffic flow, that is, there is a high possibility of traffic jams. The shock wave (vibration, fluctuation) referred to here means that this operation (back and forth movement) is propagated to the rear vehicle as a kind of vibration by repeating the acceleration and deceleration operations.

In addition, when the total power of acceleration and deceleration in a predetermined period increases, traffic congestion is likely to occur, and the vehicle energy efficiency (such as fuel efficiency or power consumption) decreases.
For example, in the case of shifting from a stationary state of the vehicle to constant speed running with moderate acceleration, such as the change in acceleration and spectral angle θ and the average behavior during the period from time ta to time tb shown in FIG. Small fluctuation. And even if the absolute value of the spectral angle θ temporarily increases, it immediately converges toward zero, so that the total power of acceleration and deceleration becomes a small value.
Further, for example, when the vehicle is driven at a constant speed or is slowly decelerated due to engine braking or the like, such as the change in acceleration and spectral angle θ and the average behavior during the period from time ta to time tb shown in FIG. The fluctuation of is small. Since the absolute value of the spectral angle θ is kept small, the total power for acceleration and deceleration becomes a small value. In this case, even if the absolute value of the spectral angle θ temporarily increases due to vibration or the like, it immediately converges toward zero, so the total power of acceleration and deceleration becomes a small value. For example, even if the absolute value of the spectral angle θ temporarily increases due to, for example, a detection error of the three-dimensional acceleration sensor 14, since it immediately converges toward zero, the total power for acceleration and deceleration becomes a small value. .
On the other hand, when the vehicle suddenly decelerates or decelerates immediately after acceleration as in the case of acceleration and spectral angle θ variation and average behavior during the period from time tb to time tc shown in FIG. large. The absolute value of the spectrum angle θ is a large value, and the time required for convergence toward zero becomes long, so the total power for acceleration and deceleration is a large value.

The traffic jam prediction unit 24 acquires traffic jam sign information.
The traffic jam prediction unit 24 indicates, for example, the possibility that a traffic jam (traffic jam) will occur in the future or that a traffic jam has already occurred according to the spectrum angle θ calculated by the single regression line calculation unit 23. Detects traffic signs. The degree of traffic jam sign indicating the magnitude of the traffic jam sign increases when there is a high possibility of traffic jam in front of the traveling direction of the vehicle moving together with the driving support device 10, and decreases when the possibility is low.

For example, the traffic jam prediction unit 24 acquires, as traffic jam sign information, a traffic jam sign degree corresponding to the maximum value (slope maximum value) of the spectrum angle θ calculated by the single regression line calculation unit 23. For example, the traffic jam prediction unit 24 stores in advance a function (for example, y = ax + b) indicating the relationship between the slope maximum value (x) and the traffic jam sign degree (y), and the slope maximum is referred to this function. The traffic congestion predicting degree (y) for the value (x) is calculated. The traffic jam prediction unit 24 previously creates a relationship between the maximum value of the slope and the corresponding traffic jam sign value and stores it as a table, and refers to the traffic jam sign level with respect to the calculated slope maximum value. Can also be requested.
The traffic jam prediction unit 24 determines whether or not there is a traffic jam sign by determining whether or not the traffic jam sign degree is greater than a predetermined threshold.

  The determination unit 25 acquires information related to the travel route corresponding to the current position of the travel support device 10 based on the current position information of the travel support device 10 acquired by the current position acquisition unit 13. The information on the travel path is information on the road structure, road state, and positional relationship with surrounding buildings, that is, road attribute information. The determination unit 25 may acquire information related to the traveling road from, for example, road map data stored in the map data storage unit 18 described later. The determination unit 25 may acquire information on the travel path from, for example, a change in speed calculated by the speed calculation unit 20, or from a travel locus based on the current position history acquired by the current position acquisition unit 13. You may get it.

Based on the acquired road attribute information, the determination unit 25 determines whether there is road attribute information that causes traffic congestion. Road attribute information that causes traffic congestion includes, for example, the presence of curves or slopes that are expected to slow down, the presence of roads that continuously decelerate when entering sites such as event venues or large commercial facilities, and construction Information such as the location, traffic signal, or the presence of a railroad crossing. The determination unit 25 determines whether or not the traffic jam sign information acquired by the traffic jam prediction unit 24 is due to the traffic jam caused by the road attribute information, based on the presence or absence of the road attribute information causing the traffic jam.
The determination unit 25 is based on the speed calculated by the speed calculation unit 20 and the spectrum angle calculated by the single regression line calculation unit 23 when the traffic jam sign information is not due to traffic jams caused by the road attribute information. To determine the state of the vehicle.

When the traffic jam sign information acquired by the traffic jam prediction unit 24 is due to traffic jams caused by the road attribute information, the determination unit 25 determines that the vehicle state is before the traffic jam occurrence as in the status b shown in FIG. It is determined that the state is a transition state from the state immediately before the traffic jam to the state where the traffic jam occurs. The determination unit 25 determines that the vehicle shifts from the state immediately before the traffic jam to the traffic jam occurrence state regardless of the driving operation of the driver of the vehicle because the traffic attributed to the road attribute information has occurred in the forward direction of the vehicle. To do.
When the traffic jam sign information is not due to the traffic jam caused by the road attribute information and the speed calculated by the speed calculation unit 20 is less than a predetermined speed threshold, the determination unit 25 is in a state c shown in FIG. In addition, it is determined that the state of the vehicle is a traffic jam occurrence state. The predetermined speed threshold is, for example, a speed corresponding to a slow driving or a stopped state of a vehicle that has already fallen into a traffic jam. The determination unit 25 determines that the vehicle remains in the state of occurrence of the traffic jam regardless of the driving operation of the driver of the vehicle because the vehicle is running slowly or stopped in the state of the traffic jam.

When the traffic jam sign information is not due to the traffic attribute attributed to the road attribute information and the speed is equal to or higher than a predetermined speed threshold, the determination unit 25 determines that the vehicle is jammed as in the state a or the state d shown in FIG. It is determined that there is a possibility of falling into.
When the spectrum angle calculated by the single regression line calculation unit 23 is less than a predetermined angle threshold, the determination unit 25 determines that the vehicle state is the traffic jam before the occurrence of the traffic jam as in the state a shown in FIG. It is determined that the previous state remains. The predetermined angle threshold is, for example, a spectrum angle corresponding to a state immediately before a traffic jam. The determination unit 25 determines that it is possible to avoid or suppress the traffic jam due to the driving operation of the driver of the vehicle because the possibility that the vehicle will be jammed due to staying in the state immediately before the traffic jam is low.
When the spectrum angle calculated by the single regression line calculation unit 23 is equal to or greater than a predetermined angle threshold, the determination unit 25 determines whether or not the driving operation of the driver of the vehicle as illustrated in FIG. It is determined that the state of the vehicle can be shifted from the state where the traffic jam has occurred to the state immediately before the traffic jam. The determination unit 25 determines that the vehicle is likely to fall into a traffic jam and is in a state where a driving operation for avoiding or suppressing the traffic jam is required by the driver. The determination unit 25 determines that the state of the vehicle shifts from the occurrence of the traffic jam to the state immediately before the traffic jam by the driving operation of the driver of the vehicle.

The information presentation control unit 26 changes the content of information presentation on the display device 16 according to the determination result by the determination unit 25.
When the traffic jam sign information is due to traffic jam caused by the road attribute information, the information presentation control unit 26 sets the content of the information presentation to the content corresponding to the transition state from the state immediately before the traffic jam to the traffic jam occurrence state. . The information presentation control unit 26 stops presenting traffic jam sign information, for example, in response to the fact that it is difficult to avoid or suppress the traffic jam due to the driving operation of the vehicle driver. In addition, the information presentation control unit 26 generates a traffic jam by an event caused by the basis for determining the occurrence of traffic jam in the forward direction (that is, the transition from the traffic jam occurrence to the traffic jam occurrence) instead of the traffic jam sign information, for example. You may present the information which shows. The event caused by the basis for determining the occurrence of traffic congestion is, for example, a speed change caused by a road structure and a road state where deceleration operation is required.

  The information presentation control unit 26, when the traffic jam sign information is not due to the traffic jam caused by the road attribute information and the speed is less than a predetermined speed threshold, the information presentation content is the content corresponding to the traffic jam occurrence state. To do. The information presentation control unit 26 stops presenting traffic jam sign information, for example, in response to the fact that it is difficult to suppress the traffic jam due to the driving operation of the vehicle driver. In addition, the information presentation control unit 26 generates a traffic jam by an event caused by the basis for determining the occurrence of traffic jam in the forward direction (that is, the transition from the traffic jam occurrence to the traffic jam occurrence) instead of the traffic jam sign information, for example. You may present the information which shows. The information presentation control unit 26 may execute, for example, information presentation that allows the driver to grasp the presence of traffic jams in advance and information presentation for avoiding traffic jams.

The information presentation control unit 26 does not indicate that the traffic jam sign information is due to the traffic attributed to the road attribute information, the speed is not less than a predetermined speed threshold, and the spectrum angle is less than the predetermined angle threshold. The content corresponds to the state immediately before the traffic jam. The information presentation control unit 26 may fall into a traffic jam while reducing the frequency of information presentation, for example, in response to the low possibility of a traffic jam due to the vehicle remaining in a state immediately before the traffic jam, It also shows that it is possible to avoid or suppress traffic congestion caused by the driving operation of the driver.
The information presentation control unit 26 is configured to display information when the traffic jam sign information is not due to traffic jams caused by road attribute information, the speed is equal to or greater than a predetermined speed threshold, and the spectrum angle is equal to or greater than the predetermined angle threshold. The content is the content corresponding to the transition state from the state where the traffic jam occurs to the state immediately before the traffic jam. In response to the fact that the vehicle is highly likely to fall into a traffic jam and the driving operation for avoiding or suppressing the traffic jam is required by the driver, the information presentation control unit 26, for example, avoids or suppresses the traffic jam. Therefore, information is presented so as to encourage proper operation of the inter-vehicle distance, inter-vehicle time, speed, and the like.

  The information presentation control unit 26 causes the display device 16 to display various types of information, for example, on a meter panel arranged on an instrument panel (not shown) or the like by text data with a predetermined graphic or a predetermined wording. The information presentation on the display device 16 is performed by any appropriate display operation, for example, intermittent or continuous.

The map data storage unit 18 stores map data.
The map data includes, for example, road coordinate data indicating position coordinates on the road required for map matching processing based on information on the current position of the driving support device 10, and road map data required for calculating the guidance route. And. The road map data includes, for example, data such as nodes, links, link costs, road structures, road shapes, road conditions, road types, landmarks such as surrounding buildings, construction regulation locations, traffic lights, and level crossings. . The node is a coordinate point composed of the latitude and longitude of a predetermined point on the road such as an intersection and a branch point. A link is a line that connects nodes, and is a road section that connects points. The link cost is information indicating the distance of the road section corresponding to the link or the time required for the movement of the road section.

  The driving support device 10 that realizes the driving support method according to the present embodiment has the above-described configuration. Next, the operation of the driving support device 10, that is, the driving support method will be described.

First, in step S01 shown in FIG. 6, the device control unit 17 determines whether or not the three-dimensional acceleration sensor 14 has detected accelerations in the X-axis, Y-axis, and Z-axis directions.
When the determination result is “NO”, the device control unit 17 repeatedly executes the determination process of step S01.
On the other hand, if the determination result is “YES”, the device control unit 17 advances the process to step S02.
Next, in step S02, the input data calculation unit 21 calculates the acceleration vector A in the three-dimensional space using the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14. To do. Then, the norm u of the difference (acceleration vector difference) ΔA between the acceleration vectors A at two different timings with a time interval of the sampling period ΔT is calculated as input data.

Next, in step S03, the frequency analysis unit 22 calculates the autocorrelation of the input data by using the number of delays that can be appropriately set by the operator at the number of input / output points that can be appropriately set by the operator. Then, a power spectrum (acceleration spectrum) is calculated by performing a fast Fourier transform on the autocorrelation.
Next, in step S04, the single regression line calculation unit 23 calculates a single regression line in a predetermined frequency range of the acceleration spectrum, and converts the inclination of the single regression line into information of an angle (spectrum angle) θ.
Next, in step S05, the speed calculation unit 20 calculates the speed V of the driving support device 10 using the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14. To do.
Next, in step S <b> 06, the determination unit 25 acquires road attribute information related to the travel route of the current position of the travel support device 10 based on the current position information of the travel support device 10 acquired by the current position acquisition unit 13. To do.

Next, in step S07, the traffic jam prediction unit 24 uses the slope maximum value calculated by the single regression line calculation unit 23 to obtain a traffic jam sign level corresponding to the slope maximum value. The traffic jam prediction unit 24 determines whether or not there is a traffic jam sign by determining whether or not the traffic jam sign degree is greater than a predetermined threshold.
When the determination result is “NO”, the traffic jam prediction unit 24 advances the process to the end.
On the other hand, if the determination result is “YES”, the traffic jam prediction unit 24 advances the process to step S08.
Next, in step S08, the determination unit 25 determines whether or not road attribute information (that is, a road bottleneck) that causes a traffic jam exists on the traveling road at the current position of the driving support device 10.
If the determination result of step S08 is “YES”, the determination unit 25 advances the process to step S09.
On the other hand, when the determination result of step S08 is “NO”, the determination unit 25 advances the process to step S10.

Next, in step S09, when the information presentation control unit 26 is in a state of transition from the state immediately before the traffic jam before the occurrence of the traffic jam to the traffic jam occurrence status, as in the status b shown in FIG. Perform the corresponding information presentation. For example, the information presentation control unit 26 stops the presentation of traffic jam sign information and presents information indicating that a traffic jam that is difficult to avoid or suppress by the driving operation of the driver is occurring. And the information presentation control part 26 advances a process to an end.
Next, in step S10, the determination unit 25 determines whether or not the speed V of the driving support device 10 is less than a predetermined speed threshold value.
If the determination result is “YES”, the determination unit 25 advances the process to step S11.
On the other hand, when the determination result is “NO”, the determination unit 25 advances the process to step S12.

Next, in step S11, the information presentation control unit 26 performs information presentation corresponding to the case where the state of the vehicle remains in the state of occurrence of traffic jam as in the state c shown in FIG. For example, the information presentation control unit 26 stops the presentation of traffic jam sign information and presents information indicating that a traffic jam that is difficult to avoid or suppress by the driving operation of the driver is occurring. And the information presentation control part 26 advances a process to an end.
Next, in step S12, the determination unit 25 determines whether or not the spectrum angle θ is less than a predetermined angle threshold.
If the determination result is “YES”, the determination unit 25 advances the process to step S13.
On the other hand, when the determination result is “NO”, the determination unit 25 advances the process to step S14.

Next, in step S13, the information presentation control unit 26 performs information presentation corresponding to the case where the state of the vehicle remains in the state immediately before the traffic jam, which is before the traffic jam, as in the status a shown in FIG. To do. The information presentation control unit 26 presents, for example, information indicating that there is a possibility of falling into a traffic jam while reducing the frequency of information presentation, and that a traffic jam can be avoided or suppressed by the driving operation of the driver. To do. And the information presentation control part 26 advances a process to an end.
Further, in step S14, the information presentation control unit 26 presents information corresponding to a case where the vehicle state is a state in which the state of the vehicle can be shifted from the state where the traffic jam has occurred to the state immediately before the traffic jam, as in the state d shown in FIG. Run. For example, the information presentation control unit 26 presents information indicating that it is necessary to appropriately operate the inter-vehicle distance, the inter-vehicle time, the speed, and the like in order to avoid or suppress traffic congestion. And the information presentation control part 26 advances a process to an end.

As described above, according to the driving support device 10 and the driving support method of the present embodiment, the determination unit 25 determines whether or not the traffic jam sign information is due to traffic jams caused by road attribute information, which causes traffic jams. The content of the driving assistance information presentation can be changed according to the presence or absence of the road attribute information. It is possible to discriminate between a traffic jam caused by the driving operation of the driver of the vehicle and a traffic jam caused by the road attribute information regardless of the driving operation of the driver, and appropriately change the contents of the information presentation. Since the traffic jam caused by the driving operation of the driver can be avoided or suppressed by presenting the travel support information, the traffic jam sign information can be effectively used for the travel support for avoiding or suppressing the traffic jam.
Even if it is difficult to detect the difference between the change in acceleration due to the driving operation of the driver and the change in acceleration due to the road attribute, the road attribute information can be used to It is possible to appropriately discriminate between traffic jams caused by operations and traffic jams caused by road attributes. For example, unlike traffic congestion signs that can be removed by filtering, such as changes in acceleration caused by road surface irregularities, traffic signs that are difficult to distinguish from acceleration changes are detected by drivers. It is possible to appropriately discriminate from a traffic jam sign resulting from the operation.

Furthermore, traffic congestion caused by road attribute information occurs regardless of the driving operation of the driver of the vehicle, so by excluding it from the information presentation target based on traffic congestion sign information, it can be a sign of traffic congestion that can be avoided or suppressed. You can narrow down and use the traffic jam sign information.
Furthermore, even if the traffic jam sign information is due to a traffic congestion that can be avoided or suppressed due to the driving operation of the driver, if the traffic jam has already fallen into the traffic jam flow, it does not suppress the occurrence of the traffic jam, Appropriate driving support can be performed according to the contents corresponding to the occurrence state.
Furthermore, when the traffic jam sign information is not due to traffic jams caused by the road attribute information, it is possible to avoid or suppress the traffic jam by running support based on the traffic jam sign information. If the traffic jam sign information is based on the critical state before the occurrence of a traffic jam that can be avoided or suppressed due to the driving operation of the driver, provide appropriate driving support according to the content corresponding to the traffic jam sign before the traffic jam occurs Can do.

In the above-described embodiment, for example, as in the modification shown in FIG. 7, the driving support system 30 includes at least one driving support device 10 and a server device 31 that can communicate with the driving support device 10. It may be configured.
The server device 31 of this modification includes a server communication device 32, a server control unit 33, a map data storage unit 34, a range traffic jam prediction unit 35, a determination unit 36, and an information presentation control unit 37. .

  The server communication device 32 is capable of bidirectional communication with the device communication device 11 of the travel support device 10 by, for example, infrastructure mode wireless communication or road-to-vehicle communication via a roadside communication device, and various information Send and receive.

The server control unit 33 outputs various types of information received from the travel support device 10 by the server communication device 32 to the range congestion prediction unit 35.
In this modification, the driving support device 10 can transmit information based on the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14 to the server device 31. . This information includes, for example, information on the speed V calculated by the speed calculation unit 20, the spectrum angle θ calculated by the single regression line calculation unit 23, and the traffic jam sign level calculated by the traffic jam prediction unit 24. Further, this information includes information on the history of the current position acquired by the current position acquisition unit 13 and information on the history of the speed V calculated by the speed calculation unit 20.

The map data storage unit 34 stores map data.
The map data includes, for example, road coordinate data indicating position coordinates on the road required for map matching processing based on information on the current position of the driving support device 10, and road map data required for calculating the guidance route. And. The road map data includes, for example, data such as nodes, links, link costs, road structures, road shapes, road conditions, road types, landmarks such as facilities, construction sites, traffic lights, and railroad crossings. The node is a coordinate point composed of the latitude and longitude of a predetermined point on the road such as an intersection and a branch point. A link is a line that connects nodes, and is a road section that connects points. The link cost is information indicating the distance of the road section corresponding to the link or the time required for the movement of the road section.

  For example, the spectrum jam θ or the traffic jam predicting degree received from the driving support device 10 is within the appropriate position range based on the current position information received from at least one driving support device 10. Etc., the traffic congestion predictor within this position range is detected based on the number and ratio of the driving support devices 10 that are equal to or greater than a predetermined threshold. The range traffic jam prediction unit 35 determines whether or not there is a traffic jam sign in the travel support device 10 in this position range by determining whether or not the traffic jam sign level in this position range is larger than a predetermined threshold. To do. The range traffic jam prediction unit 35 stores the determination result as traffic jam sign information for the travel support device 10 in the position range.

The determination unit 36 executes at least a part of processing executed by the determination unit 25 of at least one of the travel support devices 10 according to the above-described embodiments.
The determination unit 36 acquires information related to a travel route within a predetermined distance range around the current position received from at least one travel support device 10. The information on the travel path is information on the road structure, road state, and positional relationship with surrounding buildings, that is, road attribute information. The determination unit 36 may acquire information on the traveling road from, for example, road map data stored in the map data storage unit 34. The determination unit 36 may acquire information on the travel route from, for example, a change in speed received from each travel support device 10 or from a travel locus based on the current position history received from each travel support device 10. May be.

Based on the acquired road attribute information, the determination unit 36 determines whether there is road attribute information that causes traffic congestion. The determination unit 36 determines whether or not the traffic jam sign information acquired by the range traffic jam prediction unit 35 is due to traffic jams caused by the road attribute information, based on the presence or absence of road attribute information that causes traffic jams.
When the traffic jam sign information is not due to traffic jams due to road attribute information, the determination unit 36 determines whether the vehicle on which each travel support device 10 is mounted based on the speed and the spectrum angle received from each travel support device 10. Determine the state.

  When the traffic jam sign information is due to traffic jams caused by the road attribute information, the determination unit 36 determines that the state of each vehicle is from the state just before the traffic jams before the traffic jam occurs, as in the status b shown in FIG. It is determined that the state is a transition state to a traffic congestion state. When the traffic jam sign information is not due to traffic jams caused by road attribute information and the speed of each vehicle is less than a predetermined speed threshold, the determination unit 36 determines whether each vehicle has It is determined that the state is a congestion occurrence state. When the traffic jam sign information is not due to traffic jams due to road attribute information, the speed of each vehicle is equal to or higher than a predetermined speed threshold, and the spectrum angle of each vehicle is less than the predetermined angle threshold. 5, it is determined that the state of each vehicle remains in the state immediately before the traffic jam before the occurrence of the traffic jam, as in the status a shown in FIG. The determination unit 36 determines that when the traffic jam sign information is not due to traffic jams caused by road attribute information, the speed of each vehicle is equal to or greater than a predetermined speed threshold value, and the spectrum angle of each vehicle is equal to or greater than the predetermined angle threshold value. 5, it is determined that the state of each vehicle is a state in which the state of each vehicle can be shifted from the state where the traffic jam has occurred to the state immediately before the traffic jam.

The information presentation control unit 37 executes at least a part of the processing executed by the information presentation control unit 26 of the at least one travel support device 10 of the above-described embodiment. The information presentation control unit 37 changes the content of information presentation on the display device 16 of each driving support device 10 according to the determination result by the determination unit 36.
When the traffic jam sign information is due to traffic jam caused by the road attribute information, the information presentation control unit 37 sets the content of the information presentation to the content corresponding to the transition state from the state immediately before the traffic jam to the traffic jam occurrence state. . The information presentation control unit 37 responds to the state of the occurrence of traffic jams when the traffic jam sign information is not due to traffic jams due to road attribute information and the speed of each vehicle is less than a predetermined speed threshold. The content to be The information presentation control unit 37, when the traffic jam sign information is not due to traffic jams caused by road attribute information, the speed of each vehicle is equal to or greater than a predetermined speed threshold, and the spectrum angle of each vehicle is less than the predetermined angle threshold The content of information presentation is the content corresponding to the state immediately before the traffic jam. The information presentation control unit 37, when the traffic jam sign information is not due to traffic jams caused by road attribute information, the speed of each vehicle is equal to or higher than a predetermined speed threshold, and the spectrum angle of each vehicle is equal to or higher than a predetermined angle threshold. The content of information presentation is the content corresponding to the state of transition from the state of occurrence of traffic jam to the state immediately before traffic jam.

  The driving support system 30 for realizing the driving support method according to this modification has the above-described configuration. Next, the operation of the driving support system 30, particularly the operation of the driving support device 10 will be described.

First, in step S21 shown in FIG. 7, the server control unit 33 connects the travel support device 10 to a communication network such as a wireless communication network system, and the server device 31 does not have a communication failure through the communication network. It is determined whether or not it can be properly connected.
If the determination result is “NO”, the server control unit 33 repeatedly executes the process of step S21.
On the other hand, if the determination result is “YES”, the server control unit 33 advances the process to step S22.

In step S <b> 22, the server control unit 33 determines whether or not a stand-alone operation execution instruction independent of an external device such as the server device 31 is generated by an instruction from the operator.
If the determination result is “YES”, that is, if there is no instruction to execute the stand-alone operation, the server control unit 33 advances the process to step S23. In step S23, the server control unit 33 executes a network operation described later and ends the process.
On the other hand, if the determination result is “NO”, the server control unit 33 advances the process to step S24. In step S24, the server control unit 33 performs the processing from step S01 to step S14 in the above-described embodiment as a stand-alone operation.

Hereinafter, the network operation in step S23 described above will be described.
First, in step S31 shown in FIG. 8, the device control unit 17 displays a predetermined communication indicator display on the display device 16. The device control unit 17 can properly connect the display of the communication indicator to the server device 31 with the driving support device 10 connected to a communication network such as a wireless communication network system and without communication failure. It is a display indicating that.

Next, in step S <b> 32, the device control unit 17 detects the acceleration in the X-axis, Y-axis, and Z-axis directions by the three-dimensional acceleration sensor 14, and the current position acquisition unit 13 obtains the current position information. It is determined whether or not it has been acquired.
When the determination result is “NO”, the device control unit 17 repeatedly executes the determination process of step S32.
On the other hand, if the determination result is “YES”, the device control unit 17 advances the process to step S33.
Next, in step S33, the input data calculation unit 21 calculates the acceleration vector A in the three-dimensional space using the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14. To do. Then, the norm u of the difference (acceleration vector difference) ΔA between the acceleration vectors A at two different timings with a time interval of the sampling period ΔT is calculated as input data.

Next, in step S34, the frequency analysis unit 22 calculates the autocorrelation of the input data using the number of delays that can be appropriately set by the operator at the number of input / output points that can be appropriately set by the operator. Then, a power spectrum (acceleration spectrum) is calculated by performing a fast Fourier transform on the autocorrelation.
Next, in step S35, the single regression line calculation unit 23 calculates a single regression line in a predetermined frequency range of the acceleration spectrum, and converts the inclination of the single regression line into information of an angle (spectrum angle) θ.
Next, in step S <b> 36, the speed calculation unit 20 calculates the speed V of the driving support device 10 using the accelerations in the X-axis, Y-axis, and Z-axis directions detected by the three-dimensional acceleration sensor 14. To do.

Next, in step S <b> 37, the traffic jam prediction unit 24 acquires a traffic jam sign level corresponding to the slope maximum value using the slope maximum value calculated by the single regression line calculation unit 23. The traffic jam prediction unit 24 determines whether or not there is a traffic jam sign by determining whether or not the traffic jam sign degree is greater than a predetermined threshold.
If the determination result is “NO”, the traffic jam prediction unit 24 advances the process to return.
On the other hand, when the determination result is “YES”, the traffic jam prediction unit 24 advances the process to step S38.

Next, in step S <b> 38, the device control unit 17 sends the speed V, the spectrum angle θ, the traffic jam predictor information calculated by the traffic jam prediction unit 24, the current position information, and the like via the device communication device 11. Transmit to device 31.
Next, in step S <b> 39, the device control unit 17 receives, from the server device 31, the traffic jam sign information within an appropriate position range detected by the server device 31 and the content of information presentation set by the server device 31. Determine whether or not.
If this determination is “NO”, the device control unit 17 advances the process to return.
On the other hand, if the determination result is “YES”, the device control unit 17 advances the process to step S40.
Next, in step S40, the device control unit 17 controls the display device 16 so as to present the information received from the server device 31. And the apparatus control part 17 advances a process to a return.

  According to the driving support system 30 and the driving support method according to this modified example, information based on acceleration can be acquired from the plurality of driving support devices 10 and information can be presented in an integrated manner in real time. As a result, for example, each traffic assist device 10 calculates the traffic jam sign degree, and can improve the calculation efficiency as compared with the case where information is presented, and a plurality of travel assist devices can suppress or eliminate the occurrence of traffic jams. It is possible to efficiently control by 10 interlocks.

  In the above-described embodiment, the driving support device 10 includes the information presentation control unit 26 and the display device 16 that perform driving support by presenting information, but is not limited thereto. The driving support device 10 includes, for example, a speed control unit that performs driving support by automatic speed control, and an assist control unit that supports driving by mechanically or electrically assisting the driving operation of the driver. Also good.

  In the above-described embodiment, the traffic jam prediction unit 24 acquires the traffic jam sign degree using the maximum value (inclination maximum value) of the spectrum angle θ, but the present invention is not limited to this. The traffic jam prediction unit 24 may acquire the traffic jam sign degree by combining other indices other than the slope maximum value. Other indices other than the slope maximum value are, for example, the speed V and the spectral angle θ.

  Note that the travel support device 10 according to the above-described embodiment and modification and the server device 31 of the travel support system 30 may be realized by dedicated hardware, or the travel support device 10. The program for realizing the functions of the server device 31 is recorded on a computer-readable recording medium, and the program recorded on the recording medium is read into the computer system and executed, thereby executing the driving support device 10 and the server device. You may make it operate | move as 31. FIG. The computer system referred to here includes an OS and hardware such as peripheral devices. The computer system also includes a WWW system provided with a homepage providing environment (or display environment).

  The computer-readable recording medium refers to a storage device such as a portable medium such as a flexible disk, a magneto-optical disk, a ROM, and a CD-ROM, and a hard disk built in the computer system. Further, the computer-readable recording medium is a volatile memory (RAM) inside a computer system that becomes a server or a client when a program is transmitted via a network such as the Internet or a communication line such as a telephone line. In addition, those that hold a program for a certain period of time are also included.

The program may be transmitted from a computer system storing the program in a storage device or the like to another computer system via a transmission medium or by a transmission wave in the transmission medium. Here, the transmission medium for transmitting the program refers to a medium having a function of transmitting information, such as a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line.
The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

  The above-described embodiments are presented as examples, and are not intended to limit the scope of the invention. The above-described novel embodiments can be implemented in various other forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. The above-described embodiments and modifications thereof are included in the scope and gist of the invention, and are included in the invention described in the claims and the equivalents thereof. For example, in the above embodiment, the server device 31 is configured as one device. However, a plurality of devices may be connected by a communication line or the like.

DESCRIPTION OF SYMBOLS 10 ... Driving assistance apparatus (electronic device), 12 ... Positioning signal receiver, 13 ... Current position acquisition part (position information acquisition part), 14 ... Three-dimensional acceleration sensor (acceleration acquisition part), 15 ... Input device, 16 ... Display Device (instruction unit), 17 ... device control unit, 18 ... map data storage unit, 20 ... speed calculation unit (speed acquisition unit), 21 ... input data calculation unit, 22 ... frequency analysis unit, 23 ... single regression line calculation unit 24 ... Traffic jam prediction unit (congestion sign information acquisition unit) 25 ... Determination unit (road attribute information acquisition unit) 26 ... Information presentation control unit (instruction unit) 30 ... Travel support system 31 ... Server device 35 ... Range traffic jam prediction unit, 36 ... determination unit

Claims (12)

A travel support method executed by an electronic device including a position information acquisition unit for acquiring position information, an acceleration acquisition unit for acquiring acceleration, and an instruction unit for instructing execution of a travel support operation,
A traffic jam sign information acquisition step in which the electronic device acquires traffic jam sign information based on the change in acceleration acquired by the acceleration acquisition unit;
A road attribute information acquisition step in which the electronic device acquires road attribute information indicating an attribute of a road on which the electronic device is located based on the position information acquired by the position information acquisition unit;
A determination step of determining whether or not the electronic equipment is due to traffic congestion caused by the road attribute information;
Depending on whether or not the traffic jam sign information is due to traffic jam caused by the road attribute information, the instruction unit changes the content of the driving support operation,
including,
A driving support method characterized by the above. The road attribute information is information related to the road structure, road condition, and the positional relationship between the surrounding buildings and the road,
The driving support method according to claim 1, wherein: A speed acquisition step in which the electronic device acquires speed;
In the driving support step, when the traffic jam sign information is not due to the traffic attributed to the road attribute information and the speed is less than a predetermined speed, the instruction unit sets the content of the driving support operation to generate a traffic jam. The corresponding content,
The driving support method according to claim 1 or 2, characterized in that A speed acquisition step in which the electronic device acquires speed;
In the driving support step, when the traffic jam sign information is not due to the traffic attributed to the road attribute information and the speed is equal to or higher than a predetermined speed, the instruction unit sets the content of the driving support operation before the traffic jam occurs. The content corresponds to the traffic sign of
The driving support method according to claim 1 or 2, characterized in that A computer of an electronic device including an electronic device including a position information acquisition unit that acquires position information, an acceleration acquisition unit that acquires acceleration, and an instruction unit that instructs execution of a driving support operation,
A traffic jam sign information acquisition step for acquiring traffic jam sign information based on the change in acceleration acquired by the acceleration acquisition unit;
Road attribute information acquisition step for acquiring road attribute information indicating an attribute of a road on which the electronic device is located based on the position information acquired by the position information acquisition unit;
A determination step of determining whether or not the traffic jam sign information is due to traffic jam caused by the road attribute information;
A driving support step of changing the content of the driving support operation to the instruction unit according to whether or not the traffic jam sign information is due to a traffic jam caused by the road attribute information;
To execute,
A program characterized by that. The road attribute information is information relating to the road structure, road state, and positional relationship with surrounding buildings, etc.
The program according to claim 5. In the computer of the electronic device,
The speed acquisition step for acquiring the speed is executed,
In the driving support step, when the traffic jam sign information is not due to the traffic attributed to the road attribute information and the speed is lower than a predetermined speed, the content of the driving support operation is set to the occurrence of the traffic jam in the instruction unit. Change to the corresponding content,
The program according to claim 5 or 6, wherein: In the computer of the electronic device,
The speed acquisition step for acquiring the speed is executed,
In the driving support step, when the traffic jam sign information is not due to the traffic attributed to the road attribute information and the speed is equal to or higher than a predetermined speed, the instruction unit displays the content of the driving support operation before the traffic jam occurs. Change the content to correspond to the traffic sign of
The program according to claim 5 or 6, wherein: A location information acquisition unit for acquiring location information;
An acceleration acquisition unit for acquiring acceleration;
An instruction unit for instructing execution of the driving support operation;
A traffic jam sign information acquisition unit for acquiring traffic jam sign information based on the change in acceleration acquired by the acceleration acquisition unit;
A road attribute information acquisition unit that acquires road attribute information indicating an attribute of a road on which the position information acquisition unit is located based on the information on the position acquired by the position information acquisition unit;
A determination unit for determining whether or not the traffic jam sign information is due to traffic jam caused by the road attribute information;
With
The instruction unit includes:
Depending on whether or not the traffic jam sign information is due to traffic jam caused by the road attribute information, the content of the driving support operation is changed.
A driving support device characterized by that. The road attribute information is information relating to the road structure, road state, and positional relationship with surrounding buildings, etc.
The travel support apparatus according to claim 9. It has a speed acquisition unit that acquires speed,
The instruction unit includes:
When the traffic jam sign information is not due to traffic jam caused by the road attribute information, and the speed is less than a predetermined speed, the content of the driving support operation is content corresponding to the occurrence of traffic jam,
The driving support device according to claim 9 or 10, wherein It has a speed acquisition unit that acquires speed,
The instruction unit includes:
The traffic jam sign information is not due to traffic jams caused by the road attribute information, and when the speed is equal to or higher than a predetermined speed, the content of the driving support operation is the content corresponding to the traffic jam sign before the traffic jam occurs.
The driving support device according to claim 9 or 10, wherein

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