JP2020042529A - Traffic light information display device, traffic light information display method, traffic light information prediction system, and traffic light information prediction method - Google Patents

Abstract

To enable a driver to recognize a prediction result of a lighting state at timing when a self-vehicle passes concerning a traffic light which the self-vehicle is to pass, and also to recognize a sureness level of the prediction result.SOLUTION: A traffic light information display device (8) for displaying prediction information related to a lighting state of a traffic light which a self-vehicle is to pass includes: an information acquisition section (8a) for acquiring a prediction result of a lighting state of a traffic light at time when the self-vehicle passes the traffic light and a sureness level of the prediction result, as prediction information; and a display section (8b) for displaying the prediction result and the sureness level of the prediction result to a driver.SELECTED DRAWING: Figure 2

Description

  The present invention relates to prediction of a lighting state of a traffic signal that a vehicle is about to pass, and display of a prediction result.

  Patent Literature 1 discloses a device that acquires traffic signal information in a traveling direction by so-called road-to-vehicle communication and notifies a driver of information regarding a remaining time until a lighting state of the traffic signal changes. According to the device, the driver can drive according to the notified information. Driving according to the notified information means, for example, based on the notified information, determining that the lighting state of the timing at which the vehicle reaches the intersection is red, and then stepping off the accelerator pedal to improve fuel efficiency. This is an operation in which the vehicle is released and switched to coasting.

Japanese Patent No. 4968383

  However, in the device described in the above document, there is a possibility that a difference may occur between information notified to the driver and a time until the lighting state actually changes by an amount of time required for road-to-vehicle communication. Furthermore, although the information reported may not be accurate as described above, the apparatus of the above-mentioned document does not consider the certainty of estimation. For this reason, for example, according to the reported information, the lighting state should be blue until the vehicle passes through the intersection, but it is actually switched to red immediately before the intersection, and sudden deceleration may be required.

  Therefore, an object of the present invention is to not only display the prediction result of the lighting state at the timing when the vehicle passes, but also to allow the driver to recognize the certainty of the prediction.

  According to an aspect of the present invention, there is provided a traffic light information display device that displays prediction information on a lighting state of a traffic light that the own vehicle is about to pass. The traffic signal information display device, as prediction information, operates an information acquisition unit that obtains a prediction result of the lighting state of the traffic signal at the time when the vehicle passes the traffic signal and the likelihood of the prediction result, and drives the prediction result and the probability of the prediction result. A display unit for displaying to a user.

  According to the above aspect, it is possible to not only display the prediction result of the lighting state at the timing when the own vehicle passes, but also allow the driver to recognize the certainty of the prediction.

FIG. 1 is a configuration diagram of a vehicle equipped with a traffic light information display device and a traffic light information prediction system. FIG. 2 is a configuration diagram of a control system centered on the traffic light information prediction system 100. FIG. 3 is a flowchart showing a control routine for predicting traffic signal information. FIG. 4 is a diagram for describing past data. FIG. 5 is a flowchart illustrating a control routine related to the reconfirmation process. FIG. 6 is a diagram illustrating a first example of a mode of displaying a prediction result. FIG. 7 is a diagram illustrating a second example of a mode for displaying a prediction result. FIG. 8 is a diagram illustrating a third example of a mode for displaying a prediction result. FIG. 9 is a diagram illustrating a fourth example of a mode for displaying a prediction result. FIG. 10 is a diagram illustrating a fifth example of a mode for displaying a prediction result. FIG. 11 is a diagram illustrating a sixth example of a mode of displaying a prediction result. FIG. 12 is a diagram illustrating a seventh example of a mode for displaying a prediction result. FIG. 13 is a diagram showing an eighth example of a mode for displaying a prediction result.

  Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.

  FIG. 1 is a configuration diagram of a vehicle 10 equipped with a traffic light information display device and a traffic light information prediction system according to the present embodiment.

  The vehicle 10 includes an engine 5 as a power source. The engine 5 is a gasoline engine or a diesel engine. In the following description, the “own vehicle” refers to the vehicle 10.

  Further, the vehicle 10 includes a travel control controller 1, an engine controller 2 as a driving force control unit, a front camera 3 as an external world detection unit, a navigation system 4, and a vehicle speed sensor 6.

  The front camera 3 is arranged, for example, in the vicinity of a room mirror with the vehicle traveling direction facing, and the vehicle traveling direction is defined as an imaging area (F1 in the drawing).

  The navigation system 4 is arranged in a vehicle cabin. The navigation system 4 sets a traveling route to a destination input by the driver based on map information stored in advance and position information from an artificial satellite.

  The vehicle speed sensor 6 is a non-contact type sensor that is disposed near a driving wheel (not shown) and that transmits a change in magnetic field generated by a sensor rotor that rotates with the driving wheel to the travel control controller 1 by converting the change into a pulse signal.

  The traffic light information display device 8 is provided in, for example, an instrument panel in the vehicle interior, and displays a lighting state of a traffic light that the own vehicle passes from now on and a certainty thereof. The traffic light information display device 8 includes an information acquisition unit 8a and a display unit 8b that displays the information acquired by the information acquisition unit 8a from the travel control controller 1. A specific display method and a method of estimating the lighting state and its certainty will be described later. In the following description, the traffic light information display device 8 may be simply referred to as “display device 8”.

  The traveling controller 1 and the engine controller 2 are arranged in an engine compartment in front of the vehicle body as shown in the figure. In addition, these may be arrange | positioned in a vehicle interior.

  Each of the traveling controller 1 and the engine controller 2 includes a microcomputer having a central processing unit (CPU), a read-only memory (ROM), a random access memory (RAM), and an input / output interface (I / O interface). . The travel control controller 1 and the engine controller 2 can each be constituted by a plurality of microcomputers.

  FIG. 2 is a configuration diagram of a control system centered on the traffic light information prediction system 100 according to the present embodiment.

  The front camera 3 outputs the captured image data to the travel control controller 1. The image data is, for example, a stop line on a road surface, a state of a traffic light, a vehicle running around the own vehicle, and the like.

  The stop line and the installation location of the traffic light included in the map information possessed by the navigation system 4 and the travel route set by the navigation system 4 are output to the travel control controller 1.

  The detection signal of the vehicle speed sensor 6 is also input to the travel control controller 1. The travel controller 1 calculates the vehicle speed based on the detection signal of the vehicle speed sensor 6. The calculated vehicle speed is used not only for the control by the traveling control controller 1 but also for the control by the engine controller 2 to be transmitted to the engine controller 2.

  The traveling control controller 1 has a function of communicating with a server 7 provided outside the vehicle, and uploads and downloads past data used for predicting a traffic signal state described later.

  In the above configuration, the traffic light information prediction system 100 includes the travel control controller 1, the front camera 3, the navigation system 4, the vehicle speed sensor 6, and the server 7. In addition, the traveling control controller 1 has a function as a lighting state prediction unit that predicts a traffic light state described later.

  Next, a method of estimating a traffic light state will be described.

  The traveling control controller 1 of the present embodiment stores the lighting state of the traffic light from when the front camera 3 recognizes the traffic light to when the own vehicle passes the traffic light in the memory 1a as past data in association with the time. The travel controller 1 uploads the past data of the own vehicle to the server 7 at a predetermined cycle described later. That is, the memory 1a has a function as a first storage unit for storing past data of the own vehicle, and the server 7 has a function as a second storage unit for storing past data of the own vehicle and other vehicles.

  The server 7 stores the past data uploaded from another vehicle, and the travel control controller 1 can download the past data from the server 7.

  FIG. 3 is a flowchart of a control routine executed by the traveling control controller 1 for predicting a traffic light state. This control routine is programmed in the traveling controller 1.

  This control routine is for predicting the traffic signal state based on past data on the own vehicle or the server 7. Hereinafter, description will be given according to the steps of the flowchart.

  In step S <b> 10, the travel controller 1 searches for a traffic signal through which the own vehicle will pass, using the current position of the own vehicle, the travel route set at the start of travel, and the map data provided in the navigation system 4. In the following description, the traffic light searched in this step is also referred to as a scheduled traffic light.

  In step S20, the travel controller 1 checks the remaining distance to the scheduled traffic signal using the current vehicle position and the map data.

  In step S30, the traveling controller 1 predicts the time at which the vehicle will pass the scheduled traffic signal based on the remaining distance and the current vehicle speed predicted in step S20. In the following description, the time predicted in this step is also referred to as a predicted signal passage time or a predicted time.

  In step S40, the traveling controller 1 checks whether or not past data that has passed through the scheduled traffic signal at the predicted signal passing time is in the memory 1a of the own vehicle.

  In step S50, the traveling controller 1 predicts the lighting state of the traffic light based on the past data of the own vehicle.

  Here, a method of predicting the lighting state will be described.

  FIG. 4 is a diagram illustrating an example of past data. The horizontal axis is time, and time Tsig is the expected signal passage time. Here, a case where there are five past data will be described.

  Data 1 is data from when the traffic signal to be passed is recognized at time T11 to when the vehicle starts moving at time T15. At time T11, the passing scheduled traffic light is lit red, and at time T12, it switches from red lighting to blue lighting, and at time T13, switches again from blue lighting to red lighting. Then, at time T14, the own vehicle reaches the scheduled traffic light, stops in accordance with the red lighting, and switches from red lighting to blue lighting at time T15 and starts.

  The data 2 is data from when the traffic signal to be passed is recognized at time T21 to when the vehicle starts moving at time T25. At time T21, the passing scheduled traffic light is lit in red. At time T22, the traffic light switches from red to blue, and again at time T23 from blue to red. Then, at time T24, the vehicle arrives at the scheduled traffic light, stops in accordance with the red lighting, and switches from red lighting to blue lighting at time T25 to start.

  Data 3 is data from recognition of the scheduled traffic light at time T31 to departure at time T34. At time T31, the passing traffic light is lit in blue, and at time T32, the traffic light is switched from blue to red. The own vehicle has reached the scheduled traffic signal at time T33 while the red lighting is continuing, and has stopped. Then, at time T34, the lighting is switched from red lighting to blue lighting, and the vehicle starts moving.

  Data 4 is data from when the traffic signal to be passed is recognized at time T41 to when the vehicle starts moving at time T45. At the time T41, the passing scheduled traffic light is lit in red. At the time T42, the traffic light is switched from red lighting to blue lighting, and at the time T43, it is switched from blue lighting to red lighting again. Then, at time T44, the vehicle arrives at the traffic signal to be passed, stops in accordance with the red lighting, and switches from red lighting to blue lighting at time T45 and starts.

  Data 5 is data from recognition of the scheduled traffic signal at time T51 to departure at time T54. At time T51, the passing scheduled traffic light is lit in blue, and at time T52, the traffic light is switched from blue to red. The own vehicle has reached the scheduled traffic signal at time T53 while the red lighting is continuing, and has stopped. Then, at time T54, the lighting is switched from red lighting to blue lighting, and the vehicle starts moving.

  Of the above five data, three of data 1, 2, and 4 are lit blue at the signal passing expected time Tsig, and two of data 3 and 5 are lit red. That is, 60% of the past data is lit in blue and 40% is lit in red. Based on these past data, the lighting state prediction in step S50 may be such that the probability of blue lighting is 60% and the probability of red lighting is 40%. However, in the present embodiment, in order to further improve the accuracy of prediction, the traveling control controller 1 calculates the likelihood of the lighting state by weighting each data as described below.

  In data 1, blue light is turned on from time T12 to time T13. Therefore, the weighting coefficient at the signal passing expected time Tsig is calculated by setting the weighting coefficient at the center between the time T12 and the time T13 to 1 and the weighting coefficient at the time T12 and T13 when the lighting state changes to 0.5. In this case, the weighting coefficient of data 1 is 0.9.

  Weighting coefficients are similarly calculated for data 2 to 5. The weighting coefficient of each data is 0.7 for data 2, 0.6 for data 3, 0.95 for data 4, and 0.75 for data 5.

  For data 1, 2, and 4 passed in blue light, the probability of passing in blue light was multiplied by the respective weighting factors to 60%, and for data 3 and 5 passed in red light, the data passed in red light. The probability 40% is multiplied by each weighting factor. As a result, the probability of passing data 1 with blue light is 54%, the probability of passing data 2 with blue light is 42%, and the probability of passing data 4 with blue light is 57%. Data 3 has a 24% probability of passing with red lighting, and data 5 has a 30% probability of passing with red lighting.

  The result of harmonic average of the probability of passing with blue lighting and the probability of passing with red lighting is defined as the result of the lighting state prediction in step S50. Specifically, the probability of lighting blue is 68%, and the probability of lighting red is 32%.

  Return to the description of the flowchart.

  In step S60, the traveling control controller 1 checks the prediction result on the server 7. When a traveling route is set at the start of traveling, the traveling control controller 1 downloads past data on the traveling route from the server 7. In this step, the downloaded past data is searched. The prediction result of the server 7 is calculated by the same method as described above based on past data uploaded from the own vehicle and other vehicles.

  In step S70, the traveling controller 1 compares the number of past data used in the calculation in step S50 with the number of past data used in the prediction result of the server 7.

  It should be noted that the past data of the latest one month is accumulated in the memory 1a of the own vehicle. On the other hand, since a large amount of data is uploaded from another vehicle to the server 7, old data is sequentially deleted to secure capacity, and the server 7 stores past data for the last one week or so.

  In step S80, the traveling control controller 1 causes the display device 8, which will be described later, to display the prediction result of the larger number of past data.

  The traveling control controller 1 determines whether or not the front camera 3 has recognized the traffic signal to be passed in step S90, and executes the subroutine of the reconfirmation process in step S100 when the traffic signal is recognized.

  Here, the reconfirmation processing will be described with reference to FIG. FIG. 5 is a flowchart showing a control routine of the reconfirmation process programmed in the travel controller 1.

  In step S200, the traveling control controller 1 reads the lighting state at the time when the traffic signal to be passed is recognized (hereinafter also referred to as the current time), which is determined based on the lighting state displayed in step S80 and the likelihood. The lighting state at the current time is read as follows. First, the switching cycle of the lighting state of the traffic signal to be passed is predicted based on the lighting state and the likelihood at the predicted signal passing time and the lighting time of each lighting state stored in advance. Then, the lighting state at the current time in the predicted switching cycle is read. For example, a case where the lighting state at the predicted signal passage time Tsig is blue and the probability is 90% as in the case of the data 1 will be described. Based on the blue lighting time stored in advance, the time with a probability of 50%, that is, the switching time of the lighting state, can be predicted to be times T12 and T13. Then, a switching cycle in which the current time is lit red, the light is switched to blue at time T12, and the light is switched to red at time T13 is predicted.

  In step S210, the traveling control controller 1 determines whether or not the lighting state read in step S200 matches the actual lighting state recognized by the front camera 3, and, if so, ends the present subroutine. If not, the process of step S220 is executed.

  In step S220, the traveling control controller 1 checks the lighting state at the current time by the same method as in step S200, based on the lighting state of data not adopted in step S80 and the likelihood.

  In step S230, the traveling control controller 1 determines whether the lighting state confirmed in step S220 matches the actual lighting state recognized by the front camera 3, and if they match, the process in step S240. Is executed, and if they do not match, the process of step S250 is executed.

  In step S240, the traveling control controller 1 switches the data used for predicting the lighting state, and changes the display on the display device 8. That is, the lighting state and the certainty displayed on the display device 8 are changed to the prediction and certainty of the lighting state based on the past data which is not adopted in step S80. This is based on the idea that the adoption of a switching cycle in which the predicted lighting state matches the actual lighting state results in higher prediction accuracy of the lighting state at the predicted signal passage time.

  In step S250, the traveling control controller 1 changes the display on the display device 8 to have a probability of red lighting of 50% and a probability of blue lighting of 50%. This is based on the idea that the lighting state at the current time cannot be correctly predicted unless the lighting state at the current time can be correctly predicted using either the past data of the own vehicle or the past data of the server 7. is there.

  The reconfirmation process is for confirming the accuracy of the prediction based on the past data based on the actual lighting state at the current time. By doing this, the prediction accuracy of the lighting state at the predicted signal passage time is further improved.

  Returning to the description of the flowchart of FIG.

  When the reconfirmation process in step S100 is completed, the traveling control controller 1 waits in step S110 for passing the scheduled traffic light, and when it passes, in step S120, stores the past data relating to the traffic signal passed this time in the memory 1a of the vehicle. .

  The travel control controller 1 determines whether or not the current travel has been completed in step S130. Then, when the current traveling is completed, the traveling control controller 1 uploads the past data accumulated in the current traveling to the server 7 in step S140 and terminates this routine. If the current traveling is not completed, the process proceeds to step S10. Return to processing. Note that “the current run is completed” means that the vehicle has reached the destination set at the start of the run.

  As described above, in the present control routine, the travel control controller 1 predicts the lighting state of the scheduled traffic signal based on the past data stored in the memory 1a of the own vehicle or the server 7. Therefore, it is possible to predict the lighting state of a traffic light that does not support road-to-vehicle communication.

  Further, in the present control routine, even if the past data of the traffic signal to be passed is not stored in the memory 1a of the own vehicle, if the past data when another vehicle has passed is stored in the server 7, The controller 1 can predict the lighting state. That is, it is highly possible that the lighting state of the scheduled traffic signal can be predicted even on a traveling route on which the vehicle has not traveled in the past.

  Note that the reconfirmation process in step S100 is a process for further improving the accuracy of the prediction result displayed on the display device 8, and is not an essential process for predicting the lighting state of the scheduled traffic signal.

  Next, a display mode of the prediction result will be described with reference to FIGS. 6 to 10 show the state of the display unit 8b when displaying that the probability of red lighting is 70% and the probability of blue lighting is 30%.

  FIG. 6 shows a first example of a display mode of the prediction result. The display of FIG. 6 is displayed on any part of the instrument panel. As shown in FIG. 6, the probability of red lighting and the probability of blue lighting are displayed in a bar graph.

  The portion indicating the probability of lighting red is colored red, and the portion indicating the probability of lighting blue is colored blue. Further, since the driver can grasp the approximate probability by looking at the colored graph, it is not essential to display the numbers of 70% and 30% indicating the probability. These also apply to FIGS. 7 to 10 described below.

  FIG. 7 shows a second example of the display mode of the prediction result. The display of FIG. 7 is displayed on any part of the instrument panel. As shown in FIG. 7, the probability of lighting red and the probability of lighting blue are displayed in a band graph.

  FIG. 8 shows a third example of a display form of the prediction result. The display of FIG. 8 is displayed on any part of the instrument panel. As shown in FIG. 8, the probability of lighting red and the probability of lighting blue are displayed in a pie chart.

  FIG. 9 shows a fourth example of the display form of the prediction result. The display of FIG. 9 is displayed on any part of the instrument panel. As shown in FIG. 9, the probability of red lighting and the probability of blue lighting are each indicated by the size of a circle. The circle shown by the broken line in FIG. 9 indicates a circle at 100%.

  FIG. 10 shows a fifth example of the display form of the prediction result. The display of FIG. 10 is displayed on any part of the instrument panel. In the fifth example, similar to the fourth example, the probability is indicated not only by the size of the circle but also by using a display imitating a balance to more clearly indicate which of the red lighting and the blue lighting is more probable. .

  As a method of displaying the prediction result, it is conceivable to display red when the prediction result is lit red and display blue when the prediction result is lit blue. However, in such a display method, there is no difference in the displayed result even if the probability of red lighting is 90% or 50%, for example, so that the driver cannot know the degree of reliability of the prediction result. . On the other hand, according to the first to fifth examples, the probability of red lighting and the probability of blue lighting are displayed, so the driver not only has to know whether the possibility of red lighting or blue lighting is high, but also , It can be recognized at a glance to its certainty.

  FIG. 11 shows a sixth example of the display mode of the prediction result. As shown in FIG. 11, circles colored according to the respective probabilities of red lighting, blue lighting, and yellow blinking, and colored in each lighting color are displayed on the figure simulating the lighting part of the traffic light. Here, the case where the probability of red lighting is higher than the probability of blue lighting is shown. This display is displayed on the navigation system 4, for example, at the position of the scheduled traffic light on the map screen.

  FIG. 12 shows a seventh example of the display mode of the prediction result. Similarly to the sixth example, the seventh example is a figure imitating the lighting section of the traffic light, and is displayed on the map screen of the navigation system 4. However, in the sixth example, the probability is represented by the size of the colored circle, but in the seventh example, the probability is represented by the colored area of the circle having the same size as shown in FIG. Here, the case where the probability of blue lighting is about 80% and the probability of yellow blinking is about 20% is shown. In FIG. 12, a gradation is provided that is darker nearer to the boundary between the blue lighting portion and yellow blinking portion, and thinner as the distance from the boundary is increased, but this is not a limitation.

  In the control routine described above, only the probability of red lighting and the probability of blue lighting are calculated, and the probability of yellow blinking is not calculated. However, if the time of switching from blue lighting to yellow blinking and the time of switching from yellow blinking to red lighting are accumulated as past data, the probability of yellow blinking can be calculated in the same manner.

  FIG. 13 shows an eighth example of the display mode of the prediction result. Similarly to the seventh example, the eighth example is a figure imitating the lighting part of the traffic light, and is displayed on the map screen of the navigation system 4. The difference from the seventh example is that there is no display related to yellow blinking in the eighth example.

  According to the sixth example to the eighth example, similarly to the first example to the fifth example, the driver recognizes at a glance not only the possibility of the red lighting or the blue lighting being high but also the certainty. be able to. Further, since FIG. 11 is displayed on the map screen of the navigation system 4, the driver can easily grasp which traffic signal the displayed prediction result relates to.

  In the first to eighth examples, the probabilities of the respective lighting colors are displayed. However, the present invention is not limited to this, and only the probabilities of red lighting or blue lighting may be displayed. For example, when only the probability of lighting red is displayed, only the right portion of FIG. 9 is displayed. Even in this case, the driver can recognize that the larger the circle colored red, the higher the probability of red lighting.

  Next, effects of the present embodiment will be summarized.

  According to the present embodiment, there is provided a traffic light information display device 8 that displays prediction information on a lighting state of a traffic light that the own vehicle will pass from now on. The traffic light information display device 8 includes, as prediction information, an information acquisition unit 8a that obtains a prediction result of the lighting state of the traffic light at the time when the vehicle passes the traffic light and the likelihood of the prediction result; A display unit 8b for displaying the likeness to the driver. As a result, the driver can not only recognize the predicted result of the lighting state of the traffic signal passing from now on, but also recognize the certainty of the displayed predicted result at a glance.

  In the traffic light information display device of the present embodiment, the certainty of the prediction information is at least one of the probability of being lit blue and the probability of being lit red. Thereby, the driver can grasp the reliability of the prediction result of the lighting state of the traffic signal that will pass from now on.

  According to the present embodiment, there is provided a traffic light information prediction system 100 that predicts a lighting state of a traffic light through which the own vehicle will pass. The traffic light information prediction system 100 includes a memory 1a as a storage unit that accumulates lighting conditions and times before and after a vehicle passes a traffic light as past data and a server 7; A travel control controller 1 as a state prediction unit is provided. Then, the travel control controller 1 calculates a predicted time at which the own vehicle passes through the traffic light, and executes prediction of the lighting state of the traffic light at the predicted time and calculation of the probability of the lighting state based on the past data. . Thus, even for a traffic light that does not support road-to-vehicle communication, it is possible to predict the lighting state at the timing when the own vehicle passes.

  In the traffic light information prediction system 100 of the present embodiment, the storage unit includes a memory 1a as a first storage unit that stores past data of the own vehicle, and a second storage unit that stores past data of the own vehicle and other vehicles. And a server 7. Then, the travel control controller 1 as the lighting state prediction unit adopts the past data having the larger number of past data at the predicted time, from the memory 1a or the server 7. As a result, prediction based on more past data becomes possible, and the accuracy of prediction is improved. Further, since the traffic light information prediction system 100 can predict the lighting state based on the past data of the other vehicle, it can also predict the lighting state of a traffic light having no past data of the own vehicle.

  It is needless to say that the present invention is not limited to the above embodiments, and various changes can be made within the scope of the technical idea described in the claims.

DESCRIPTION OF SYMBOLS 1 Driving controller 2 Engine controller 3 Front camera 4 Navigation system 5 Engine 6 Vehicle speed sensor 7 Server 8 Traffic light information display

Claims (6)

In a traffic light information display device that displays prediction information on the lighting state of the traffic light that the vehicle will pass from now on,
As the prediction information, an information acquisition unit that acquires a prediction result of a lighting state of the traffic signal at a time when the vehicle passes the traffic signal and a likelihood of the prediction result,
A display unit that displays a probability of the prediction result and the prediction result to a driver,
A traffic signal information display device comprising: The traffic light information display device according to claim 1,
The traffic light information display device, wherein the certainty of the prediction information is at least one of a probability of being lit in blue and a probability of being lit in red. In a traffic light information prediction system that predicts the lighting state of the traffic light that the vehicle will pass from now on,
An accumulation unit that accumulates the lighting state and time before and after the vehicle passes the traffic light as past data,
A lighting state prediction unit that predicts the lighting state based on the past data,
With
The lighting state prediction unit includes:
Calculating a predicted time at which the vehicle passes the traffic light;
A traffic light information prediction system, wherein prediction of the lighting state at the prediction time and calculation of a probability of the lighting state are performed based on the past data. The traffic light information prediction system according to claim 3,
The storage unit includes: a first storage unit that stores the past data of the own vehicle; and a second storage unit that stores the past data of the own vehicle and another vehicle.
The traffic light information prediction system, wherein the lighting state prediction unit employs, of the first storage unit or the second storage unit, the past data having the larger number of the past data at the prediction time. In a traffic light information display method for displaying prediction information on a lighting state of a traffic light that the vehicle will pass from now on,
As the prediction information, a prediction result of a lighting state of the traffic light at a time when the vehicle passes the traffic light and a likelihood of the prediction result are obtained,
A signal information display method, wherein the prediction result and the likelihood of the prediction result are displayed to a driver. In a traffic light information prediction method for predicting a lighting state of a traffic light that the own vehicle is about to pass,
Accumulate the lighting state and time before and after the vehicle passes the signal as past data,
Calculating a predicted time at which the vehicle passes the traffic light;
A traffic light information prediction method, wherein prediction of the lighting state at the prediction time and calculation of a probability of the lighting state are performed based on the past data.

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