JP2008097251A - Congestion prediction apparatus, and driving support apparatus and support system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To highly accurately predict congestion on the basis of a state of walkers and a state of vehicles. <P>SOLUTION: A congestion prediction apparatus 12 detects vehicles and walkers in a prescribed area including a roadway and predicts congestion generated in the roadway included in the prescribed area on the basis of the detection result. A driving support apparatus 14 loaded on a vehicle receives the congestion information of the congestion predicted by the congestion prediction apparatus 12 and guides a route for evading the congestion to a vehicle driver or calls driver's attention. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a traffic jam prediction device that predicts traffic jams, a driving assistance device that provides driving assistance based on the prediction of traffic jams, and a driving assistance system that includes the traffic jam prediction device and the driving assistance device.

  In recent years, an increasing number of vehicles are equipped with navigation devices as driving assistance devices that provide route information to drivers. The navigation device includes a display device for displaying video information, and the display device displays a map around the vehicle and the position of the vehicle by an image, and provides route information to the driver. providing.

  While the vehicle is traveling, the driver may consider the traffic situation because the route is changed to make a detour or the required time of the route differs depending on the traffic situation in the traveling direction. For this reason, there is a demand for a traffic information system that quickly provides traffic information to the driver in accordance with traffic conditions such as road conditions. VICS (Vehicle Information and Communication System) is known as an example of this traffic information system. VICS is a system that provides traffic information such as traffic jam information, required time information, traffic fault information, and traffic regulation information to drivers using text information and image information. In this information, information on general roads is collected by each prefectural police and highway information is collected by each road administrator and processed by the VICS Center through the Japan Road Traffic Information Center. It is transmitted to the VICS receiver mounted on the vehicle by beacon, FM multiplex broadcasting or the like. Information received by the VICS receiver is output to a navigation device mounted on the vehicle, and map information, guidance route information, and the like are displayed on the display device, and voice guidance is provided by voice.

A driving support device is also known in which an intersection is photographed with a camera to monitor the movement of a pedestrian or an oncoming straight vehicle, and this information is transmitted to the vehicle turning right or left using VICS to alert the driver ( For example, see Patent Document 1.)
JP 2000-113396 A

  However, the traffic information providing system based on the VICS does not monitor the situation of pedestrians, and there is a problem that it is difficult to predict when a pedestrian causes traffic congestion. Hereinafter, the case where not only a vehicle but a pedestrian causes a traffic jam is demonstrated.

  For example, a situation where the vehicle 80 turns left at an intersection 70 as shown in FIG. There is a pedestrian crossing 72 at the left turn of the vehicle 80, and a pedestrian traffic light (not shown) for the pedestrian crossing 72 turns blue simultaneously with a vehicle traffic light (not shown) for the parallel roadway. In addition, it is assumed that the blue period of the vehicle traffic light is set longer than the blue period of the pedestrian traffic signal.

  When the vehicle 80 enters the intersection 70 from the downstream side in the traveling direction of the traveling lane, turns left and proceeds to the left, the vehicle 80 should not block the passage of the pedestrian 74 on the pedestrian crossing 72. Therefore, the left turn vehicle 80 cannot turn left until the pedestrian 74 crosses the pedestrian crossing 72. In busy streets and the like, there are many pedestrians that continue to cross even if the traffic light for pedestrians turns red, and if there are many pedestrians 74 walking on the pedestrian crossing 72, the vehicle 80 is not yet ready until the traffic light for vehicles turns red. Sometimes you cannot turn left.

  In the example shown in FIG. 5A, both the traffic amount of the pedestrian 74 and the traffic amount of the vehicle 80 are small. Since the number of vehicles is small in this way, the number of vehicles that turn left within one cycle of the traffic signal for vehicles is small, and there is no traffic jam due to the left turn. Note that one cycle of a traffic light means one cycle from when the traffic light turns blue until it turns red and then turns blue.

  Thereafter, as shown in FIG. 5B, a case is considered in which the traffic amount of the vehicle 80 is increased while the traffic amount of the pedestrian 74 is small. Since there are few pedestrians, even if the amount of traffic of the vehicle 80 increases, the number of vehicles that can turn left within one cycle of the vehicle traffic light is large, the flow of the vehicle 80 is smooth, and traffic congestion is unlikely to occur.

  On the other hand, as shown in FIG. 5C, a case is considered where the amount of traffic of the vehicle 80 is small but the amount of traffic of the pedestrian 74 is large. The vehicle 80 that makes a left turn needs to stop temporarily before the pedestrian crossing 72 in order to give priority to the pedestrian 74. For this reason, the number of vehicles that can turn left within one cycle of the traffic signal for the vehicle is reduced, but traffic congestion is unlikely to occur unless the traffic volume of the vehicle itself is small.

  Thereafter, as shown in FIG. 5 (D), when the traffic volume of the vehicle 80 increases while the traffic volume of the pedestrian 74 is large, the vehicle 80 cannot turn left until the pedestrian 74 crosses the road. The number of vehicles that can turn left within one cycle of the vehicle traffic light is also limited. Therefore, a traffic jam due to a vehicle entering from below the intersection is more likely to occur than in FIG. 5B where the amount of traffic of the pedestrian 74 is small.

  In the traffic information providing system using VICS, only the vehicle status is monitored, so the statuses of FIGS. 5A and 5C cannot be distinguished apparently, and the occurrence of traffic congestion when the subsequent vehicle traffic increases. Prediction (whether it will be (B) in FIG. 5 or (D)) is difficult.

  Moreover, in the technique of patent document 1, it is a system which alerts a driver by monitoring the motion of a pedestrian or a vehicle, and cannot generate | occur | produce traffic congestion.

  The present invention has been made to solve the above-described problems, and is a traffic jam prediction device capable of predicting traffic jams with high accuracy and early timing based on pedestrian and vehicle conditions, and vehicle traffic based on the traffic jam prediction. An object of the present invention is to provide a driving support system configured to include a driving support device that supports driving, a traffic jam prediction device, and a driving support device.

  In order to achieve the above object, the traffic jam prediction device of the present invention is included in the predetermined area based on detection means for detecting a vehicle and a pedestrian in a predetermined area including a roadway, and a detection result of the detection means. Predicting means for predicting traffic jams occurring on the roadway.

  As described above, traffic jams that occur on the roadway are predicted based on the detection results of pedestrians and vehicles, so the traffic conditions of both pedestrians and vehicles are monitored, and traffic jams are predicted with high accuracy and early. Can do. In particular, traffic jams caused not only by vehicles but also by pedestrians can be predicted early.

  The predetermined area is an area including an intersection, and the detection means detects a vehicle entering the intersection and a pedestrian near a pedestrian crossing provided at the intersection, and the prediction means is generated at the intersection. You can predict a left turn traffic jam.

  Thus, by detecting a vehicle entering the intersection and a pedestrian near the pedestrian crossing provided at the intersection, it is possible to predict a left turn traffic jam occurring at the intersection at an early stage.

  The intersection is provided with a vehicle traffic light, and a pedestrian traffic light is provided on the pedestrian crossing of the intersection. The prediction means is further based on information on the vehicle traffic light and the pedestrian traffic light. A left turn traffic jam occurring at the intersection can be predicted.

  Thereby, when the vehicle traffic light and the pedestrian traffic light are provided at the intersection, it is possible to predict using this information, and therefore it is possible to predict the left turn traffic jam early and with high accuracy.

  In addition, the information processing apparatus may further include an acquisition unit that acquires traffic information around the predetermined area, and the prediction unit may further predict the traffic jam based on the traffic information acquired by the acquisition unit.

  As a result, the traffic jam can be predicted in consideration of the surrounding traffic information, so that the traffic jam can be predicted early and with high accuracy.

  The driving support device according to the present invention includes a receiving unit that receives the prediction information of the traffic jam predicted by the traffic jam prediction device, and a driving for a driver who drives the vehicle based on the prediction information received by the receiving unit. Driving support means for providing support.

  As a result, appropriate driving support corresponding to the traffic jam can be performed in advance based on the traffic jam prediction information, and the convenience of the driver is enhanced.

  The driving support means can provide driving support by guiding the driver on a route that avoids the predicted traffic jam or by notifying the driver of the predicted traffic jam.

  In this way, the driving support means guides the driver on a route that avoids the predicted traffic jam, so that, for example, a route that crosses a pedestrian crossing with many pedestrians can be avoided. The waiting time can be shortened. This also reduces pedestrian waiting traffic. In addition, the driver assisting means can alert the driver by notifying the driver of the predicted traffic jam.

  Furthermore, the driving support system of the present invention includes the traffic jam prediction device and the driving support device.

  According to such a configuration, the traffic situation of both the pedestrian and the vehicle can be monitored to predict the traffic jam with high accuracy and early, and driving support corresponding to the traffic jam can be performed in advance. Therefore, the convenience for the driver is increased.

  As described above, according to the traffic jam prediction device of the present invention, there is an excellent effect that the traffic jam can be predicted with high accuracy and early based on the state of the pedestrian and the vehicle. In addition, according to the driving support device of the present invention, there is an excellent effect that appropriate driving support can be performed according to the predicted result of occurrence of traffic jam in the traffic jam prediction device. In addition, according to the driving support system of the present invention, it is possible to predict traffic jams with high accuracy and early based on the state of pedestrians and vehicles, and to perform appropriate driving support according to the predicted result of the occurrence of the traffic jams There is an excellent effect of being able to.

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

  FIG. 1 is a block diagram showing a schematic configuration of a driving support system 10 according to an embodiment of the present invention.

  The driving support system 10 includes a traffic congestion prediction device 12 that predicts a traffic jam and a driving support device 14 that is mounted on a vehicle and supports a driver's driving.

  The traffic jam prediction device 12 includes a camera 16, a video processing device 18, a calculation device 20, an inter-prediction device transceiver 22, and a road-to-vehicle transmitter 24.

  The camera 16 is installed at a high position overlooking the intersection 50 as shown in FIG. 2, and a predetermined area including the intersection can be photographed. The intersection 50 is provided with a pedestrian crossing 52 for ensuring the safety of pedestrians. The area that can be photographed by the camera 16 includes an area near the pedestrian crossing 52. The pedestrian crossing 52 is provided with a pedestrian traffic light (not shown), and the pedestrian can cross the pedestrian crossing 52 according to the pedestrian traffic light. The intersection 50 is provided with a vehicle traffic signal (not shown).

  The camera 16 captures a vehicle approaching the intersection 50 or a pedestrian near the pedestrian crossing 52 and outputs the captured image to the image processing device 18 of the traffic jam prediction device 12.

  The video processing device 18 detects a pedestrian and a vehicle by performing image processing on the video captured by the camera 16. Specifically, a detection dictionary in which patterns of pedestrians and vehicles are learned in advance is prepared, and it is determined whether or not an input image is close to data registered in the detection dictionary. Is detected. The detection result is output to the arithmetic unit 20 and the inter-prediction device transceiver 22.

  Information of the pedestrian traffic signal and the vehicle traffic signal installed at the intersection 50 is input in advance to the arithmetic device 20 and stored in a storage means provided in the arithmetic device 20. Here, the information on the traffic lights means the blue time within one cycle of the traffic lights for pedestrians and the traffic lights for vehicles, and the timing when the traffic lights for pedestrians and the traffic lights for vehicles turn blue. One cycle of the traffic light means one cycle from when the traffic light turns blue until it turns red and then becomes blue. Here, the timing when the pedestrian traffic light and the vehicle traffic light turn blue is the same. In addition, it is assumed that the blue period of the vehicle traffic light is set longer than the blue period of the pedestrian traffic signal.

  The computing device 20 receives the detection result of the pedestrian and the vehicle from the video processing device 18 and receives another intersection (for example, an intersection before the intersection 50 in FIG. 2) via the inter-predictor transceiver 22. 54), the information on the vehicles detected at the other intersection is input as information on the situation of the surrounding roads.

  The arithmetic unit 20 executes a program stored in a predetermined storage unit, determines the congestion status of the intersection 50 based on the information on the traffic lights, the information on pedestrians and vehicles, and the information on the status of surrounding roads, (Here, turn left traffic jam).

  The inter-prediction device transmitter / receiver 22 transmits the vehicle information detected by the video processing device 18 to the other traffic jam prediction device 12 that predicts the traffic jam of the intersection around the intersection 50 and the other traffic jam prediction device. 12, vehicle detection results at other intersections are received as information on the situation of surrounding roads.

  The road-to-vehicle transmitter 24 transmits the traffic jam occurrence prediction information determined by the computing device 20 to the driving support device 14 provided in the vehicle 60 traveling toward the intersection 50. As the road-to-vehicle transmitter 24, for example, a transmitter that transmits in the form of FM multiplexing, an optical beacon, a radio beacon, etc. for transmitting traffic jam information by VICS can be used.

  On the other hand, the driving support device 14 mounted on the vehicle 80 includes a road-to-vehicle receiver 26 and a navigation system 28.

  The road-to-vehicle receiver 26 receives the traffic jam occurrence prediction information transmitted from the traffic jam prediction device 12. The reception mode of the road-to-vehicle receiver 26 is the same as the transmission mode of the road-to-vehicle transmitter 24 of the traffic jam prediction device 12.

  The navigation system 28 includes an in-vehicle display 30 and a navigation control device 32. Although not shown, the navigation control device 32 includes a microcomputer that executes a program that realizes a navigation function and a recording device that records the program and map information data. The navigation control device 32 displays a map to the destination on the in-vehicle display 30, measures the position of the vehicle and displays the position of the vehicle on the map displayed on the in-vehicle display 30, and guides the route to the destination A navigation function that informs information by a map and guidance voice is controlled. Furthermore, the navigation control device 32 performs route guidance for avoiding traffic jams based on the traffic jam occurrence prediction information received by the road-to-vehicle receiver 26.

  Next, the flow of the traffic jam prediction process according to the program of the arithmetic unit 20 of the traffic jam prediction device 12 will be described. Here, a case where a left turn traffic jam is predicted will be described.

  FIG. 3 is a flowchart showing the flow of the traffic jam prediction process executed by the arithmetic device 20 of the traffic jam prediction device 12.

  In step 100, the arithmetic device 20 acquires pedestrian information from the detection result of the video processing device 18. Specifically, the number of pedestrians detected in the area near the pedestrian crossing 52 among the pedestrians detected by the video processing device 18 is acquired.

In step 102, the arithmetic unit 20 determines whether the number of pedestrians detected at around crosswalk 52 predetermined threshold TH ₁ or more. If the number of pedestrians is determined to be the threshold value TH ₁ or more, the process proceeds to step 104, if the number of pedestrians is determined to be less than the threshold value TH _1, the process proceeds to step 116. The threshold TH ₁ may be determined depending on the time of the blue within one cycle of the traffic signal.

  In step 104, the arithmetic unit 20 acquires information on traffic lights (information on both pedestrian traffic lights and vehicle traffic lights) and vehicle information on the intersection 50.

  As described above, as the traffic signal information, the blue time in one cycle of the pedestrian traffic signal and the vehicle traffic signal and the timing when the pedestrian traffic signal and the vehicle traffic signal become blue are stored in the storage means in advance. Yes. The arithmetic unit 20 acquires these information from the storage means as signal information. Moreover, the arithmetic unit 20 acquires the number of left turn vehicles entering the intersection 50 (that is, the number of vehicles traveling in the left turn lane) from the detection result of the video processing device 18 as the vehicle information of the intersection 50.

  In step 106, the arithmetic unit 20 calculates the number of vehicles that can turn left in one cycle of the vehicle traffic light from the information acquired in steps 100 and 104. Specifically, first, the difference between the blue times in one cycle of the pedestrian traffic light and the vehicle traffic light is calculated as the left turnable time. In this embodiment, since the timing when the pedestrian traffic signal and the vehicle traffic signal turn blue is the same, the left turnable time is calculated without considering the timing.

And the arithmetic unit 20 adjusts the said left turn possible time according to the number of the pedestrians detected in the pedestrian crossing 52 vicinity. For example, if many pedestrians crossing the crosswalk 52 is a left available time shorter predetermined time (albeit at the threshold value TH ₁ or higher) pedestrian longer predetermined time when small.

  Next, the number of vehicles that can turn left in one cycle of the vehicle traffic light is calculated from the time that can be turned left. The number of vehicles that can make a left turn may be obtained using a predetermined arithmetic expression, but a table that stores a left turnable time and a statistically or experimentally obtained number of vehicles that can make a left turn is prepared. The number of vehicles that can turn left may be obtained by referring to this table.

In step 108 determines whether the number of left-vehicle is the threshold value TH ₂ or less in the above obtained vehicle traffic within one cycle. If left allows the vehicle speed is the threshold value TH ₂ or less, the process proceeds to step 110, turn left allows the vehicle number if greater than the threshold value TH _2, the process proceeds to step 116. The threshold TH _2, depending on the left uptime, or may be determined according to the time of the blue within one cycle of the traffic signal.

  In step 110, information on the situation of surrounding roads is acquired. In the present embodiment, as information on the situation of surrounding roads, the vehicle detection result at the intersection near the intersection 50 (for example, the intersection 54 in front of the intersection 50 in FIG. 2) is used to predict the traffic jam at the intersection 54. Obtained from device 12.

  In step 112, it is determined whether the degree of congestion in the surrounding area is small or large from the acquired information regarding the situation of the surrounding road. If it is determined that the degree of congestion in the surrounding area is large, the traffic volume at the intersection 50 is expected to increase in the future, so that the process proceeds to step 112 and there is a high possibility of occurrence of traffic congestion (here, left turn traffic jam). judge.

  In step 118, traffic jam prediction information indicating that there is a possibility of traffic jam on the left turn at the intersection 50 is output to the road-to-vehicle transmitter 24. The road-to-vehicle transmitter 24 to which the traffic jam occurrence prediction information is input transmits the traffic jam occurrence prediction information to the road-to-vehicle receiver 26 mounted on the vehicle 60.

  That is, when it is determined that there are many pedestrians crossing the pedestrian crossing 52, the number of vehicles that can turn left while the intersection 50 is green, and the traffic volume at the intersection 50 is expected to increase in the future, The computing device 20 outputs traffic jam occurrence prediction information indicating that there is a possibility of the occurrence of a left turn traffic jam.

On the other hand, when the number of pedestrians in step 102 is determined to be less than the threshold value TH _1, when it is determined that the left turn can vehicle speed in step 108 exceeds the threshold value TH _2, and the periphery of the congestion at step 112 is If it is determined that it is small, it is determined in step 116 that there is no possibility of occurrence of traffic congestion.

  Next, the flow of the driving support process according to the program of the navigation control device 32 of the driving support device 14 will be described. Here, the driving support process in the vehicle 60 that travels along the route A indicated by the broken line in FIG. 2 and makes a left turn at the intersection 50 will be described as an example.

  FIG. 4 is a flowchart showing a flow of driving support processing executed by the navigation control device 32 of the driving support device 14.

  When the traffic jam prediction information is received by the road-to-vehicle receiver 26 in step 200, the navigation control device 32 determines in step 202 whether the host vehicle is scheduled to turn left or go straight. If it is determined that a left turn is scheduled, the process proceeds to step 204, where the navigation control device 32 determines whether there is an avoidance route that avoids the intersection 50 based on the map information data. In the example shown in FIG. 2, the route B indicated by the solid line corresponds to the avoidance route.

  If it is determined in step 204 that there is an avoidance route, the process proceeds to step 206, and it is determined whether or not the avoidance route (route B) is significantly detoured compared to the original route A. Specifically, for each of the route A and the route B, the distance to the joining point where the route B and the route A merge is calculated, and if the distance of the route B is longer than the distance of the route A by a predetermined value or more, It can be determined that it is a detour.

  If it is determined in step 206 that the avoidance route is not significantly detoured, in step 206, the guide route is changed to the avoidance route (route B), which is notified by voice and displayed on the in-vehicle display 30.

  In the example illustrated in FIG. 2, when the traffic jam prediction is transmitted from the traffic jam prediction device 12 to the vehicle 60 that is about to turn left at the intersection 50, the navigation control device 32 determines the traffic jam instead of the route A where the traffic jam is predicted. The route can be changed to the avoidable route B and guided.

  On the other hand, if it is determined in step 202 that the host vehicle is going straight, if it is determined in step 204 that there is no avoidance route, or if it is determined in step 206 that the avoidance route is remarkably detoured, the process proceeds to step 210 to walk. A guidance to call attention to the person is notified by voice or displayed on the in-vehicle display 30. For example, when the host vehicle goes straight, it is possible to output a message prompting the user to change the lane, such as “Please change the driving lane to the center lane”. Further, when making a left turn, a warning message such as “There is a risk of left turn traffic jam” can be output.

  Thus, by monitoring the traffic conditions of both pedestrians and vehicles by the traffic jam prediction device 12, traffic jams caused not only by vehicles but also by pedestrians can be predicted with high accuracy at an early stage. In addition, by obtaining this information in advance by the driving support device 14, it is possible to provide guidance so as to avoid a route that crosses a pedestrian crossing where there are many pedestrians, and it is possible to reduce the time to wait for a pedestrian when making a left turn. In addition, it is possible to reduce traffic jams due to left turn waiting vehicles.

  In the above-described embodiment, an example in which signal information is input and stored in advance in the arithmetic device 20 has been described. However, the present invention is not limited to this, and signal information is input from an external device every predetermined time. It may be configured as follows. In addition, when the time of one cycle of traffic lights, the time of green light, the timing of blue change, etc. for each time zone, prepare a table in which information on the traffic light is stored for each time zone. You may make it utilize, and you may make it acquire the information of a traffic signal from an external apparatus for every time slot | zone.

  In the above-described embodiment, an example in which information about the situation of the surrounding road is acquired from the inter-prediction device transceiver 22 has been described. However, VICS information may be acquired as information about the situation of the surrounding road. In addition to the camera 16, a camera may be provided on a surrounding road or a nearby intersection, and information about the situation of the surrounding road may be obtained by acquiring a video imaged by the camera.

  Moreover, although the case where the left turn traffic jam is predicted has been described as an example in the above embodiment, the traffic jam occurring in the straight lane can also be predicted. For example, even when a pedestrian crossing without a traffic light is provided on a roadway without a traffic signal, the vehicle needs to be temporarily stopped in front of the pedestrian crossing to give priority to the pedestrian during the pedestrian crossing. Therefore, also in this case, if there is a large number of pedestrians trying to cross the pedestrian crossing, there is a high possibility that a traffic jam will occur. If a camera is provided near such a pedestrian crossing and traffic jams are predicted in the same manner as in the above embodiment, traffic jams occurring in a straight lane can also be predicted. In addition, the driving support can be performed by receiving the prediction result by the driving support device 14 on the vehicle side.

  In the above embodiment, an example of predicting a traffic jam based on pedestrian information, vehicle information, information on surrounding road conditions, and traffic light information has been described. It is also possible to predict traffic congestion based on only three elements: pedestrian information, vehicle information, and surrounding road condition information. In that case, for example, the number of crossing pedestrians detected near the pedestrian crossing, the number of vehicles detected at the intersection, and the number of vehicles detected on the surrounding roads are compared with a predetermined threshold value to cause congestion. Predict. Similarly, it is also possible to predict a traffic jam using only two elements of pedestrian information and vehicle information.

1 is a block diagram showing a schematic configuration of a driving support system according to an embodiment of the present invention. It is a figure which shows the intersection and its surrounding road where the camera of the traffic jam prediction apparatus of this Embodiment was installed. It is a flowchart which shows the flow of the traffic jam prediction process performed with the arithmetic unit of a traffic jam prediction apparatus. It is a flowchart which shows the flow of the driving assistance process performed with the navigation control apparatus of a driving assistance device. It is explanatory drawing explaining the case where a pedestrian causes a traffic jam.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Driving assistance system 12 Congestion prediction apparatus 14 Driving assistance apparatus 16 Camera 18 Image processing apparatus 20 Arithmetic apparatus 22 Predictor transmission / reception device 24 Road-to-vehicle transmitter 26 Road-to-vehicle receiver 28 Navigation system 30 Car-mounted display 32 Navigation control device

Claims (7)

Detecting means for detecting vehicles and pedestrians in a predetermined area including the roadway;
Prediction means for predicting a traffic jam occurring on a roadway included in the predetermined area based on the detection result of the detection means;
Congestion prediction device. The predetermined area is an area including an intersection,
The detection means detects a vehicle entering the intersection and a pedestrian near a pedestrian crossing provided at the intersection,
The traffic jam prediction device according to claim 1, wherein the prediction means predicts a left turn traffic jam occurring at the intersection. A vehicle traffic light is provided at the intersection, and a pedestrian traffic light is provided at a pedestrian crossing at the intersection,
The traffic jam prediction device according to claim 2, wherein the prediction unit further predicts a left turn traffic jam occurring at the intersection based on information on the vehicle traffic signal and the pedestrian traffic signal. Further comprising an acquisition means for acquiring traffic information around the predetermined area;
The traffic jam prediction apparatus according to any one of claims 1 to 3, wherein the prediction unit further predicts the traffic jam based on the traffic information acquired by the acquisition unit. Receiving means for receiving traffic jam prediction information predicted by the traffic jam prediction device according to any one of claims 1 to 4,
Based on the prediction information received by the receiving means, driving assistance means for providing driving assistance to the driver driving the vehicle;
A driving support device including The driving according to claim 5, wherein the driving support means performs driving support by guiding the driver on a route that avoids the predicted traffic jam or notifying the driver of the predicted traffic jam. Support device. The traffic jam prediction device according to any one of claims 1 to 4,
The driving support device according to claim 5 or 6,
Driving support system including.

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