JP6087140B2 - Traveling state prediction device, traveling state prediction method, and program - Google Patents

Traveling state prediction device, traveling state prediction method, and program Download PDF

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JP6087140B2
JP6087140B2 JP2012287067A JP2012287067A JP6087140B2 JP 6087140 B2 JP6087140 B2 JP 6087140B2 JP 2012287067 A JP2012287067 A JP 2012287067A JP 2012287067 A JP2012287067 A JP 2012287067A JP 6087140 B2 JP6087140 B2 JP 6087140B2
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data
state
traveling
road link
driving
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JP2014130439A (en
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伸洋 水野
伸洋 水野
増谷 修
修 増谷
義明 坂倉
義明 坂倉
伊藤 靖之
靖之 伊藤
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株式会社デンソーアイティーラボラトリ
株式会社デンソー
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Description

  The present invention relates to a technique for predicting a traveling state of a vehicle traveling on a road.

  Conventionally, based on vehicle detectors arranged on the road, detection information of road beacons, position information detected by the navigation device, etc., the travel time (travel time) for each vehicle to travel on the road link is collected, An apparatus that estimates the travel time of the road link by calculating an average value has been known.

  The invention described in Patent Document 1 aims to accurately predict the travel time of a vehicle traveling on a road, and performs different statistical processing for each condition on travel time information collected from a large number of vehicles. To make detailed predictions according to individual vehicles.

  The invention described in Patent Document 2 aims to provide a navigation device that searches for a route to a destination in consideration of the driving characteristics of the driver, and provides traffic information of each road link for each predetermined vehicle speed range. The route search is performed based on traffic information corresponding to the average vehicle speed of the own vehicle.

  The invention described in Patent Document 3 has an object of predicting travel time with high accuracy based on accumulated travel time information, and is characterized by removing high-frequency noise components included in travel time. Is.

Japanese Unexamined Patent Publication No. 2000-259977 JP 2009-222519 A JP 2004-178518 A

  As seen in Patent Documents 1 to 3 described above, conventionally, various methods have been proposed that focus on the time required to pass the road link. However, attention has been paid to the running state when traveling on the road link. Nothing existed.

  By the way, the present applicant has applied for an invention that outputs advice relating to driving of a vehicle based on a predicted future driving state (Japanese Patent Application No. 2012-076431). In this application, the future driving state is predicted based on the current driving state and route information. For example, in such an application, if it is possible to accurately predict the future driving state based on the past driving history, it is possible to give appropriate advice to the driver.

  Then, an object of this invention is to provide the driving | running state prediction apparatus which can predict a future driving | running state accurately based on the past driving | running performance.

  The traveling state prediction apparatus of the present invention includes a probe data receiving unit that receives vehicle traveling state data when a probe car passes a road link from a data collection device mounted on the probe car, and a plurality of road links. A travel state database for storing the travel state data, a request data receiving unit for receiving a travel state prediction request including data for specifying a road link scheduled to travel from a device mounted on a user vehicle, and the travel state database To a driving state data reading unit that reads out the driving state data of the road link scheduled to travel, and a driving state data transmission unit that transmits the driving state data to a device mounted on the user vehicle. The traveling state data may be data indicating a traveling speed change in the road link.

  Thus, by using the actual traveling state data collected by the probe car, it is possible to appropriately predict the traveling state of the road link scheduled to travel. The traveling state data is, for example, data indicating changes in the speed of the vehicle, and is data indicating stopping, starting, steady traveling, acceleration, deceleration, and the like of the vehicle. The data format may be data indicating the relationship between the position and speed in the road link, or data indicating the number and ratio of steady running, acceleration and deceleration within the link.

  In the traveling state prediction apparatus of the present invention, the probe data receiving unit receives data on the traveling direction after passing through the road link together with the traveling state data, and the traveling state database is traveling state for each traveling direction. The travel state prediction request stored in the data and received by the request data receiving unit includes data specifying a road link scheduled to travel and a traveling direction after passing through the road link, and the travel state data The reading unit may read travel state data corresponding to data specifying a road link scheduled to travel and a traveling direction after passing through the road link from the travel state database.

  The present inventors have found that the running state within a road link differs depending on the direction in which the vehicle travels after passing through the road link. For example, when going straight after passing a road link, the end part of the road link also passes by steady running, but when turning right after passing the road link, the road link tends to decelerate once at the end part of the road link. There is. In the present invention, it is possible to increase the accuracy of prediction by storing the driving state data for each traveling direction of the vehicle and predicting the traveling state according to the traveling direction.

  In the traveling state prediction device of the present invention, the probe data receiving unit receives data specifying a time zone, a day of the week, or a season when passing the road link together with the traveling state data, The driving state data is stored for each time zone, day of the week or season, and the driving state data reading unit receives the road link scheduled for driving and the driving state prediction request from the driving state database. You may read the driving | running | working state data corresponding to a season.

  Since road links may vary depending on the time of day, day of the week, or season, and the visibility may vary depending on the time of day, driving conditions may change. By using the traveling state data, it is possible to improve the accuracy of the traveling state prediction.

  In the traveling state prediction device of the present invention, the probe data receiving unit receives data on weather, temperature or humidity when passing the road link together with the traveling state data, and the traveling state database includes the weather, The driving state data is stored separately for each temperature or humidity, and the driving state prediction request received by the request data receiving unit includes road link data to be driven and weather, temperature, or humidity data. The reading unit may read from the traveling state database traveling state data corresponding to the road link scheduled to travel and the weather, temperature, or humidity data.

  Since road conditions may vary depending on the degree of congestion on the road link depending on the weather or temperature, and the visibility of the road may vary depending on the weather, temperature or humidity, it is stored separately for the weather, temperature or humidity. By using the traveling state data, it is possible to improve the accuracy of the traveling state prediction.

  In the traveling state prediction apparatus of the present invention, the probe data receiving unit receives vehicle type, weight, or size data of the vehicle together with the traveling state data, and the traveling state database includes the vehicle type, weight, or size. The driving state data is stored separately, and the driving state prediction request received by the request data receiving unit includes road link data and vehicle type, weight or size data to be driven, and the driving state data reading unit The travel state data corresponding to the road link and the vehicle type, weight or size data to be traveled may be read from the travel state database.

  Since it is conceivable that the traveling state changes depending on the vehicle type, weight, and size of the vehicle, the accuracy of prediction of the traveling state can be improved by using the traveling state data stored separately for the vehicle type, weight, or size. . Note that the size of the vehicle is represented by the length, width, and height of the vehicle.

  The travel state prediction apparatus of the present invention includes a travel state data analysis unit that clusters travel state data for each road link and obtains representative data of the travel state data included in the same cluster. The driving state prediction request that stores representative data of the driving state data and is received by the request data receiving unit includes data on the current driving state of the user vehicle, and the driving state data reading unit includes: You may read the representative data of the driving state data corresponding to the road link scheduled to drive and the current driving state from the driving state database.

  Even if the road links are the same, for example, when the traffic is congested, when it is not congested but is congested, or when it is flowing smoothly, the running state of the vehicle is different. According to the configuration of the present invention, the running state data is clustered to be classified into groups having the same tendency, and the data representing each group is used to predict by the running state data having the same tendency as the current running state. And the prediction accuracy can be improved. The representative data may be an average of running state data included in the same cluster, or may be a median value or a mode value.

  The driving support system of the present invention includes the above-described driving state prediction device and a driving support device that outputs advice related to driving of the vehicle according to the driving state data received from the driving state prediction device.

  Thus, appropriate advice can be output by using the highly accurate traveling state data obtained by using the above-described traveling state prediction device.

  The traveling state prediction method of the present invention is a method for predicting the traveling state of a vehicle on a road link based on data collected from a probe car, and the traveling state prediction device is obtained from a data collection device mounted on a probe car, Receiving driving state data when a probe car passes a road link, the driving state predicting device storing the driving state data in a driving state database for each of a plurality of road links, and the driving state A step of receiving a travel state prediction request including data for specifying a road link scheduled to travel from a device mounted on a user vehicle; and the travel state prediction device is configured to perform the travel schedule from the travel state database. Reading the driving state data of the road link, and the driving state predicting device And it has a configuration in which the transmitting status data to the device mounted on the user vehicle.

  Thus, by using the actual traveling state data collected by the probe car, it is possible to appropriately predict the traveling state of the road link scheduled to travel. In addition, it is also possible to apply the various structures of the traveling state prediction apparatus described above to the traveling state prediction method of the present invention.

  The program of the present invention is a program for predicting the running state of a vehicle based on data collected from a probe car. The probe car passes a road link from a data collection device mounted on the computer to the computer. A travel state data is received, a step of storing the travel state data for each of a plurality of road links in a travel state database, and a road link to be traveled is identified from a device mounted on the user vehicle. Receiving a driving condition prediction request including data; reading out driving condition data of the road link scheduled to travel from the driving condition database; and transmitting the driving condition data to a device mounted on a user vehicle. And execute.

  Thus, by using the actual traveling state data collected by the probe car, it is possible to appropriately predict the traveling state of the road link scheduled to travel. In addition, it is also possible to apply the various structures of the driving | running | working state prediction apparatus mentioned above to the program of this invention.

  The present invention has an effect that it is possible to appropriately predict a traveling state of a road link scheduled to travel by using actual traveling state data collected by a probe car.

It is a figure which shows the structure of the driving assistance system of 1st Embodiment. It is a figure which shows the example of the data memorize | stored in driving state DB of 1st Embodiment. It is a figure which shows the hardware constitutions of a driving state prediction apparatus. It is a flowchart which shows the operation | movement which collects driving | running | working state data by the driving assistance system of 1st Embodiment. It is a flowchart which shows the operation | movement which estimates a driving | running | working state with the driving assistance system of 1st Embodiment. It is a figure which shows the example of route data and the data of a present position. It is a figure which shows the example of the driving state data memorize | stored in driving state DB of 2nd Embodiment. It is a figure which shows the example of the driving state data memorize | stored in driving state DB of 3rd Embodiment. It is a figure which shows the example of the driving state data memorize | stored in driving state DB of 4th Embodiment. It is a figure which shows the structure of the driving assistance system of 5th Embodiment. It is a figure which shows the example of the data memorize | stored in driving state DB of 5th Embodiment. It is a flowchart which shows the operation | movement which collects driving | running | working state data by the driving assistance system of 1st Embodiment. It is a flowchart which shows the operation | movement which estimates a driving | running | working state with the driving assistance system of 1st Embodiment.

  Hereinafter, a driving support system using a traveling state prediction apparatus according to an embodiment of the present invention will be described with reference to the drawings. The travel state prediction device of the present embodiment predicts a change in the travel speed of the vehicle on the road link as the travel state. The driving support system provides advice for improving fuel efficiency based on the predicted traveling state. For example, when it is predicted that there are many start and stop as the running state, advice such as calling attention to how to depress the accelerator is output.

(First embodiment)
[Configuration of driving support system]
FIG. 1 is a diagram illustrating a configuration of a driving support system 1 according to the first embodiment. The driving support system 1 includes a data collection device 10, a traveling state prediction device 20, and a driving support device 30. The traveling state prediction device 20, the data collection device 10, and the driving support device 30 are connected by a network and configured to be able to transmit and receive data.

  The data collection device 10 is mounted on a so-called probe car, and acquires traveling state data according to the traveling of the probe car. The traveling state prediction device 20 collects traveling state data from the data collection device 10 mounted on a plurality of probe cars, and predicts a future traveling state using the traveling state data. The driving support device 30 is mounted on a user vehicle (user vehicle) that receives driving support, and outputs advice based on the driving state data predicted by the driving state prediction device 20. The driving support device 30 may be mounted on a probe car on which the data collection device 10 is mounted. That is, the user vehicle may also serve as a probe car. Next, the configuration of each device will be described.

  The data collection device 10 includes a vehicle sensor information acquisition unit 11 that acquires vehicle sensor information from the vehicle sensor 17, and a traveling state data calculation unit that calculates a traveling state based on the vehicle sensor information acquired by the vehicle sensor information acquisition unit 11. 12, a storage unit 16 for storing driving state data and the like, a current position detecting unit 13 for detecting the current position of the vehicle based on GPS information acquired by a GPS receiver (not shown) and the above-described vehicle sensor information, and a driving state It has the communication part 14 which communicates with the prediction apparatus 20, and the map database (henceforth "map DB") 15 which memorize | stored map data.

  The traveling state data calculation unit 12 detects the traveling speed of the vehicle based on the vehicle sensor information, and calculates the current position of the vehicle in the road link based on the traveling speed data. In the present embodiment, data indicating the displacement of the vehicle speed associating the position of the vehicle in the road link and the speed data of the vehicle at that position is used as “running state data”.

  In addition, the traveling state data calculation unit 12 collates the current position data acquired by the current position detection unit 13 with the map DB 15 to identify the road link currently traveling. Further, the traveling state data calculation unit 12 obtains the direction in which the vehicle has traveled after passing through the specified road link based on the vehicle sensor information or the current position data detected by the current position detection unit 13. For example, if the end of the specified road link is an intersection, after passing through the road link, go straight and enter the next road link, or turn left or right and enter the next road link . Then, the traveling state data calculating unit 12 stores the identified road link ID, the traveling direction data, and the traveling state data in the storage unit 16 in association with each other.

  The data collection device 10 transmits the traveling state data stored in the storage unit 16 to the traveling state prediction device 20. The traveling state data may be transmitted periodically or when a certain amount of data is stored.

  Next, the configuration of the traveling state prediction device 20 will be described. The traveling state prediction device 20 includes a probe data receiving unit 21 that receives the traveling state data transmitted from the data collection device 10 and a traveling state database (hereinafter referred to as “traveling state DB”) 26 that stores the received traveling state data. And a traveling state data updating unit 24 that updates the traveling state DB 26 with the traveling state data received by the probe data receiving unit 21.

  FIG. 2 is a diagram illustrating an example of data stored in the traveling state DB 26. Although FIG. 2 shows an example of the driving state data of a certain road link, the driving state DB 26 stores driving state data as shown in FIG. 2 for a plurality of road links constituting the map data. Yes.

  The traveling state data is stored for each traveling direction after passing through the road link. In the example shown in FIG. 2, the vehicle has traveling state data when traveling straight after passing a road link, traveling state data when turning left, and traveling state data when turning right. In the example shown in FIG. 2, the end of the road link is an intersection (four-way), so there are three cases: straight, right and left. If so, it has four types of driving state data.

  This is because the traveling state data for each traveling direction in FIG. 2 represents the average of traveling state data traveling in each traveling direction. For example, the traveling state prediction device 20 receives traveling state data from a plurality of data collection devices 10 when the vehicle travels straight through a certain road link, and the traveling state data update unit 24 calculates the average of the received traveling state data. Thus, traveling state data is generated. The travel state DB 26 stores travel speed displacement data in association with the position in the road link.

  Returning to FIG. 1, the configuration of the traveling state prediction device 20 will be described. The driving state prediction device 20 includes a request data receiving unit 22 that receives a request for driving state prediction from the driving support device 30, and a driving state data reading unit 25 that reads driving state data from the driving state DB 26 when the request is received. And a driving state data transmitting unit 23 that transmits the driving state data to the requesting driving support device 30.

  The request data for the driving state prediction received by the request data receiving unit 22 includes data for specifying a road link for which the driving state is to be predicted and data for specifying a traveling direction after passing through the road link. . The data specifying the road link and the data specifying the traveling direction may be route data set by the navigation device 38. Based on the route data, it is possible to specify a road link (a road link to be predicted for the running state) on which the vehicle enters and in which direction the vehicle travels through the road link.

  The traveling state data reading unit 25 reads the traveling state data corresponding to the road link specific data and the traveling direction specific data included in the request for the traveling state prediction from the traveling state DB 26 and passes them to the traveling state data transmitting unit 23. The traveling state data transmission unit 23 transmits the traveling state data to the driving support device 30.

  Next, the configuration of the driving support device 30 will be described. The driving support device 30 includes a communication unit 31 for communicating with the traveling state prediction device 20, a map DB 37 storing map data, and a route data storage unit 36 storing route data set by the navigation device 38. A traveling state prediction requesting unit 32 that requests prediction of a traveling state of a predetermined road link, a current position detecting unit 33 that detects a current position of the vehicle based on GPS information acquired by a GPS receiver (not shown), and a traveling state It has the advice production | generation part 34 which produces | generates the driving advice based on the driving | running | working state data transmitted from the prediction apparatus 20, and the advice output part 35 which outputs the produced | generated advice.

  FIG. 3 is a diagram illustrating a hardware configuration of the traveling state prediction apparatus 20 according to the present embodiment. The traveling state prediction apparatus 20 is configured by a CPU 50, a memory 51, a ROM 52, an external storage device 54, a keypad 55, a touch panel 56, and a communication unit 57 connected by a bus 58. The ROM 52 stores a program 53 for realizing the functions of the traveling state prediction device 20 described above. Such a program 53 is also included in the scope of the present invention. The external storage device 54 constitutes a traveling state DB 26 and a map DB 27. The communication unit 57 provides an interface for communicating with the data collection device 10 and the driving support device 30.

[Operation of driving support system]
Next, the operation of the driving support system 1 will be described. In the following, description will be made separately on an operation of collecting driving state data used by the driving support system 1 to predict a driving state and an operation of predicting the driving state upon receiving a request for driving state prediction.

  FIG. 4 is a flowchart illustrating an operation in which the traveling state prediction device 20 collects traveling state data from the data collection device 10. The data collection device 10 mounted on the probe car acquires data on the current position and speed of the probe car (S10). The data collection device 10 determines whether or not the probe car has passed the road link (S12), and when it is determined that the probe car has passed the road link (YES in S12), the driving state when the road car has traveled Data is generated, and the generated traveling state data is stored in the storage unit 16 in association with the road link ID and the traveling direction after passing through the road link (S14). If it is determined that the vehicle has not crossed the road link (NO in S12), the data collection device 10 returns to step S10 for acquiring the current position and speed data of the probe car.

  The data collection device 10 determines whether it is a transmission timing. The transmission timing may be, for example, every predetermined period such as one week or one month, or may be when a predetermined amount of data is accumulated in the storage unit 16. If it is determined that it is not the transmission timing (NO in S16), the data collection device 10 returns to step S10 to acquire the current position and speed data of the probe car.

  When it is determined that it is the transmission timing (YES in S16), the data collection device 10 transmits the traveling state data associated with the road link ID and the traveling direction to the traveling state prediction device 20 (S18). The traveling state prediction device 20 receives the traveling state data associated with the road link ID and the traveling direction (S20), and updates the traveling state data for each traveling direction based on the received data (S22).

  FIG. 5 is a flowchart illustrating an operation in which the traveling state prediction device 20 predicts the traveling state in response to a request for traveling state prediction from the driving support device 30. The driving support device 30 detects the current position (S30). Subsequently, the driving support device 30 transmits a travel state prediction request to the travel state prediction device 20 (S32). This travel state prediction request includes the route data read from the route data storage unit 36 and the current position data of the vehicle.

  When the traveling state prediction device 20 receives the traveling state prediction request transmitted from the driving support device 30 (S34), the traveling state prediction device 20 is based on the route data included in the prediction request and the current position data. The link and the traveling direction after passing through the road link are specified (S36).

  FIG. 6 is a diagram illustrating examples of route data and current position data. In the example shown in FIG. 6, the set routes are road links L001 to L002 to L212. The current position of the vehicle V is the road link of L001. In such a case, the traveling state prediction device 20 specifies that the road link scheduled to travel next is L002 and the traveling direction after passing through the road link L002 is “right turn”.

  The traveling state prediction device 20 reads out the traveling state data corresponding to the road link ID and the subsequent traveling direction from the traveling state DB 26 using the road link to be traveled as a road link to be predicted for traveling state, and reads the traveling state data read out. Is transmitted to the driving support device 30 (S38). The driving support device 30 receives the driving state data transmitted from the driving state prediction device 20 (S40), generates advice based on the received driving state data, and outputs the advice (S42). The driving support system 1 according to the first embodiment has been described above.

  The driving support system 1 according to the first embodiment predicts a driving state on a predetermined road link based on data collected by the probe car, and outputs driving advice based on the predicted driving state. Appropriate driving advice can be provided based not on uniform information such as the width and type of links but on the running conditions of individual road links.

  Moreover, since the driving | running state prediction apparatus 20 classify | categorizes a driving | running state according to the advancing direction after passing a road link, and predicts a driving | running state according to a advancing direction, it can improve the prediction precision of a driving | running state. For example, if the direction of travel after passing the road link is a right turn, it is necessary to decelerate or stop near the end of the road link to wait for the oncoming vehicle to pass when turning right, whereas the direction of travel When is going straight, it can proceed to the next road link regardless of whether there is an oncoming vehicle. Also, if the direction of travel is a left turn, it may be necessary to pay attention to pedestrians jumping out or to drive slowly because the vehicle is parked on the shoulder because of traveling on a left turn lane near the sidewalk. There is also. The present inventors have found that even when traveling on the same road link, there is a difference in the tendency of the traveling state depending on the traveling direction after passing through the road link. According to the configuration of the present embodiment, the traveling state data is classified according to the traveling direction after passing the road link, so that the above-described difference in tendency can be captured and accurate prediction can be performed ( If all the traveling directions are processed together, the running state data is averaged).

  In the present embodiment, the driving support device 30 describes an example in which the data of the road link scheduled to be predicted is transmitted to the driving state prediction device 20 in the form of the set route and current position data. However, the driving support device 30 may obtain the road link and the traveling direction scheduled to travel, and the traveling state prediction device 20 may transmit the ID of the road link scheduled to travel and the data of the traveling direction.

(Second Embodiment)
Next, a driving support system according to a second embodiment of the present invention will be described. The basic configuration of the driving support system of the second embodiment is the same as that of the first embodiment, but in the second embodiment, the content of the driving state DB 26 stored in the driving state prediction device 20. Is different.

  FIG. 7 is a diagram illustrating an example of travel state data stored in the travel state DB 26 according to the second embodiment. In the traveling state DB 26, traveling state data is stored for each time zone when the road link is passed.

  In the second embodiment, the data collection device 10 transmits the traveling state data associated with the data of the time zone that has passed the road link to the traveling state prediction device 20. Further, when the driving state prediction device 20 receives the driving state prediction request from the driving support device 30, the driving state prediction device 20 reads out the driving state data corresponding to the time zone when the prediction request is received from the driving state DB 26, and reads the driving state. Data is transmitted to the driving support device 30.

  Similar to the first embodiment, the driving support system according to the second embodiment can provide appropriate driving advice based on the traveling state of each road link.

  Moreover, in the second embodiment, the traveling state prediction device 20 classifies the traveling state according to the time zone and predicts the traveling state according to the time zone, so that the prediction accuracy of the traveling state can be improved. Even when traveling on the same road link, the degree of congestion varies depending on the time zone, and the visibility is different, but by classifying the driving status by time zone, these differences are captured, and the prediction accuracy Can be increased.

  In this embodiment, an example using time zone data has been described. However, instead of the time zone, or in addition to the time zone, the day of the week or season data may be used to classify the driving state data. Good. Further, the configuration of the first embodiment may be added to the configuration of the second embodiment, and the traveling state data may be classified using both the traveling direction and the time zone.

(Third embodiment)
Next, a driving support system according to a third embodiment of the present invention will be described. The basic configuration of the driving support system of the third embodiment is the same as that of the first embodiment, but in the third embodiment, the content of the driving state DB 26 stored in the driving state prediction device 20. Is different.

  FIG. 8 is a diagram illustrating an example of traveling state data stored in the traveling state DB 26 according to the third embodiment. In the traveling state DB 26, traveling state data is stored for each weather that passes through the road link.

  In the third embodiment, the data collection device 10 transmits the traveling state data associated with the weather data passing through the road link to the traveling state prediction device 20. In addition, the driving state prediction device 20 receives a driving state prediction request including weather data from the driving support device 30. The traveling state prediction device 20 reads traveling state data corresponding to the received weather data from the traveling state DB 26 and transmits the read traveling state data to the driving support device 30.

  As in the first embodiment, the driving support system according to the third embodiment can provide appropriate driving advice based on the traveling state of each road link.

  In the third embodiment, the traveling state prediction device 20 classifies the traveling state according to the weather and predicts the traveling state according to the weather, so that the prediction accuracy of the traveling state can be improved. Even when driving on the same road link, the visibility is different depending on the weather, and the slipperiness of the road is different, but by classifying the driving status according to the weather, these differences are captured, and the prediction accuracy Can be increased.

  In the present embodiment, an example in which weather data is used has been described. However, instead of the weather or in addition to the weather, the driving state data may be classified using data on temperature and humidity. Further, in addition to the configuration of the first embodiment and the second embodiment, the traveling direction and weather, or the time zone and weather, or the traveling direction and time zone are added to the configuration of the third embodiment. The driving condition data may be classified using the weather.

(Fourth embodiment)
Next, a driving support system according to a fourth embodiment of the present invention will be described. The basic configuration of the driving support system of the fourth embodiment is the same as that of the first embodiment, but in the fourth embodiment, the content of the driving state DB 26 stored in the driving state prediction device 20. Is different.

  FIG. 9 is a diagram illustrating an example of traveling state data stored in the traveling state DB 26 according to the fourth embodiment. In the traveling state DB 26, traveling state data is stored for each vehicle type that has passed the road link.

  In the fourth embodiment, the data collection device 10 transmits the traveling state data associated with the vehicle type data that has passed the road link to the traveling state prediction device 20. In addition, the driving state prediction device 20 receives a driving state prediction request including vehicle type data from the driving support device 30. The driving state prediction device 20 reads the driving state data corresponding to the received vehicle type data from the driving state DB 26 and transmits the read driving state data to the driving support device 30.

  As in the first embodiment, the driving support system of the fourth embodiment can provide appropriate driving advice based on the traveling state of each road link.

  Further, in the fourth embodiment, the traveling state prediction device 20 classifies the traveling state according to the vehicle type and predicts the traveling state according to the vehicle type, so that the prediction accuracy of the traveling state can be improved. Since the performance varies depending on the vehicle type, even when traveling on the same road link, there is a difference in the traveling state, but by classifying the traveling state into the vehicle type, it is possible to capture these differences and improve the prediction accuracy .

  In the present embodiment, the weight and size may be used instead of or in addition to the vehicle type. This is because the tendency of the running state at the time of acceleration / deceleration differs depending on the weight and size of the vehicle.

  Moreover, you may add the structure of 1st Embodiment-3rd Embodiment to the structure of 4th Embodiment. Whether the traveling state data is classified by any combination of the traveling direction, time zone, day of the week, season, weather, temperature, humidity, vehicle type, weight or size can be determined as appropriate. However, if the driving state data is subdivided too much, the number of probed driving state data will decrease, or in some cases there will be a group in which the data will be lost. You may decide.

(Fifth embodiment)
FIG. 10 is a diagram illustrating a configuration of the driving support system 5 according to the fifth embodiment. The basic configuration of the driving support system 5 of the fifth embodiment is the same as that of the first embodiment. However, in the fifth embodiment, the driving state prediction device 20 includes a driving state data analysis unit 28. And the driving state data is classified into a plurality of patterns by clustering.

  FIG. 11 is a diagram illustrating an example of data stored in the traveling state DB 26. In the example shown in FIG. 11, the traveling state DB 26 stores traveling pattern data of three patterns A, B, and C. These three patterns are not classified by related data such as a traveling direction and a time zone added in advance, but the traveling state data analysis unit 28 clusters a large number of traveling state data so that they are close to each other. It is obtained by grouping and obtaining data representative of the group. Data representing each group can be obtained by taking the average of the running state data included in each group. There are other methods for obtaining representative data. For example, the median value or the mode value of the running state data at each position in the road link may be used.

  As a method for clustering running state data, for example, a known method such as a K-average method can be used. Note that “(smooth)”, “(congestion)”, and “(congestion)” are described next to patterns A, B, and C for convenience after being classified into patterns A, B, and C. Is.

  The driving support device 30 is configured to obtain the current traveling state, and is based on the vehicle sensor information acquisition unit 40 that acquires vehicle sensor information from the vehicle sensor 41 and the vehicle sensor information acquired by the vehicle sensor information acquisition unit 40. A running state data calculating unit 39 for calculating the state is provided. The driving support device 30 transmits a travel state prediction request including the current travel state data to the travel state prediction device 20.

  FIG. 12 is a flowchart illustrating an operation of generating the traveling state DB 26 by the driving support system 5 according to the fifth embodiment. The data collection device 10 mounted on the probe car acquires data on the current position and speed of the probe car (S50). The data collection device 10 determines whether or not the probe car has passed the road link (S52), and when it is determined that the probe car has passed the road link (YES in S52), the driving state when the road car has traveled Data is generated, and the generated traveling state data is associated with the road link ID and stored in the storage unit 16 (S54). If it is determined that the vehicle has not crossed the road link (NO in S52), the data collection device 10 returns to step S50 to acquire data on the current position and speed of the probe car.

  The data collection device 10 determines whether it is a transmission timing (S56). The transmission timing may be, for example, every predetermined period such as one week or one month, or may be when a predetermined amount of data is accumulated in the storage unit 16. If it is determined that it is not the transmission timing (NO in S56), the data collection device 10 returns to step S50 to acquire data on the current position and speed of the probe car.

  When it is determined that it is the transmission timing (YES in S56), the data collection device 10 transmits the traveling state data associated with the road link ID to the traveling state prediction device 20 (S58). The traveling state prediction device 20 receives and accumulates the traveling state data associated with the road link ID (S60).

  The traveling state prediction device 20 analyzes the accumulated traveling state data (S62). Specifically, the traveling state data analysis unit 28 clusters the accumulated traveling state data for each road link and classifies the data into a plurality of groups. And the average of the driving | running | working state data contained in each group is calculated | required, and the driving | running state data representing each group are produced | generated. The traveling state prediction device 20 stores traveling state data representing each group in the traveling state DB 26 (S64).

  FIG. 13 is a flowchart showing an operation in which the traveling state prediction device 20 predicts the traveling state in response to a request for traveling state prediction from the driving support device 30. The driving support device 30 acquires data on the current position and speed (S70), and generates current traveling state data based on the change in the acquired speed data (S72). Subsequently, the driving support device 30 transmits a travel state prediction request to the travel state prediction device 20 (S74). The travel state prediction request includes route data set in the navigation device 38 and the like, current vehicle position data, and current travel state data.

  When the driving state prediction device 20 receives the driving state prediction request transmitted from the driving support device 30 (S76), the driving state prediction device 20 is based on the route data and the current position data included in the prediction request. A link is specified (S78). The traveling state prediction device 20 reads all the traveling state data corresponding to the road link scheduled to travel from the traveling state DB 26 (S80), and the current traveling state data among the plurality of read traveling state data (representative data). The closest running state data is determined (S82). The traveling state prediction device 20 transmits the determined traveling state data to the driving support device 30 (S84).

  The driving support device 30 receives the driving state data transmitted from the driving state prediction device 20 (S86), generates advice based on the received driving state data, and outputs the advice (S88). The driving support system 5 according to the fifth embodiment has been described above.

  Similar to the first embodiment, the driving support system 5 of the fifth embodiment can provide appropriate driving advice based on the traveling state of each road link.

  In the fifth embodiment, the traveling state prediction device 20 can improve the prediction accuracy of the traveling state by clustering the collected traveling state data and classifying it into a plurality of patterns.

  As mentioned above, although the driving assistance system and the driving state prediction device of the present invention have been described in detail with reference to the embodiment, the present invention is not limited to the above-described embodiment.

  In the embodiment described above, the example in which the displacement of the traveling speed is stored in association with the position in the link as the traveling state data has been described. However, the traveling state data of the road link is, for example, the number of accelerations in the road link. Further, data such as the number of times of deceleration and the number of times of stop may be stored.

  The present invention has an effect that it is possible to appropriately predict the traveling state of a road link scheduled to travel by using actual traveling state data collected by a probe car, and is applied to a driving support system or the like. be able to.

1,5 Driving support system 10 Data collection device 11 Vehicle sensor information acquisition unit 12 Traveling state data calculation unit 13 Current position detection unit 14 Communication unit 15 Map DB
16 storage unit 17 vehicle sensor 20 travel state prediction device 21 probe data reception unit 22 request data reception unit 23 travel state data transmission unit 24 travel state data update unit 25 travel state data read unit 26 travel state DB
27 Map DB
28 driving state data analysis unit 30 driving support device 31 communication unit 32 traveling state prediction request unit 33 current position detection unit 34 advice generation unit 35 advice output unit 36 route data storage unit 37 map DB
38 Navigation Device 39 Traveling State Data Calculation Unit 40 Vehicle Sensor Information Acquisition Unit 41 Vehicle Sensor 50 CPU
51 Memory 52 ROM
53 Program 54 External Storage Device 55 Keypad 56 Touch Panel 57 Communication Unit 58 Bus

Claims (7)

  1. From the data collection device mounted on the probe car, traveling state data that is data indicating a change in the traveling speed of the vehicle in the road link when the probe car passes the road link, and the progress after passing the road link A probe data receiver for receiving direction data ;
    For each of a plurality of road links, a traveling state database that stores the traveling state data for each traveling direction ;
    A request data receiving unit for receiving a driving state prediction request including data for specifying a road link scheduled to travel and data for specifying a traveling direction after passing through the road link from a device mounted on the user vehicle;
    A driving state data reading unit for reading out the driving state data of the road link scheduled to travel and the data specifying the traveling direction after passing through the road link from the driving state database;
    Progression from the running state data read from the running state database, wherein generating the Alternative traveling direction running state data averaged for each travel direction, corresponding to the data identifying the moving direction contained in the running state estimation demand A driving state data transmitting unit that transmits driving state data of a direction to a device mounted on the user vehicle;
    A driving state prediction apparatus comprising:
  2. The probe data receiving unit receives the data specifying the time zone, day of the week, or season when the road link is passed along with the running state data,
    The driving state database stores driving state data according to the time period, day of the week or season,
    The running state data read unit is traveling from the traveling state database of the road link of the planned travel and the traveling state time period receives the prediction request, according to claim 1 for reading the running state data corresponding to the day of the week or season State prediction device.
  3. The probe data receiving unit receives data on weather, temperature or humidity when passing the road link together with the traveling state data,
    The running state database stores the running state data separately for the weather, temperature or humidity,
    The travel state prediction request received by the request data receiving unit includes road link data scheduled to travel and weather, temperature or humidity data,
    The running state data read unit, from said running state database, the running state predicting apparatus according to claim 1 or 2 reads the running state data corresponding to the data of the road link and the weather of the planned travel, temperature or humidity.
  4. The probe data receiving unit receives vehicle type, weight or size data of the vehicle together with the running state data,
    The driving state database stores the driving state data according to the vehicle type, weight or size,
    The driving state prediction request received by the request data receiving unit includes road link data and vehicle type, weight or size data scheduled to travel,
    The running state data read unit is traveling from the traveling state database, according to any one of claims 1 to 3 reads the running state data corresponding to the data of the target road link and the vehicle type, the weight or size State prediction device.
  5. The traveling state prediction apparatus according to any one of claims 1 to 4 ,
    A driving support device that outputs advice on driving of the vehicle according to the driving state data received from the driving state prediction device;
    A driving support system comprising:
  6. A method for predicting the driving state of a vehicle on a road link based on data collected from a probe car,
    The driving state prediction device is a driving state data which is data indicating a change in the driving speed of the vehicle in the road link when the probe car passes the road link from the data collecting device mounted on the probe car and the road link. Receiving the data of the direction of travel after passing through ,
    The driving state prediction device stores the driving state data in a driving state database for each of a plurality of road links according to the traveling direction ;
    The travel state prediction device receives a travel state prediction request including data specifying a road link scheduled to travel and data specifying a traveling direction after passing the road link from a device mounted on the user vehicle. When,
    The travel state prediction device reads from the travel state database, the travel state data of the road link scheduled to travel and data specifying the traveling direction after passing the road link ;
    The traveling state prediction device generates traveling state data for each traveling direction that is averaged for each traveling direction from the traveling state data read from the traveling state database , and determines the traveling direction included in the traveling state prediction request. Transmitting traveling state data in the traveling direction corresponding to the data to be identified to a device mounted on the user vehicle;
    A driving state prediction method comprising:
  7. A program for predicting the running state of a vehicle based on data collected from a probe car,
    From the data collection device mounted on the probe car, traveling state data that is data indicating a change in the traveling speed of the vehicle in the road link when the probe car passes the road link, and the progress after passing the road link Receiving direction data; and
    For each of a plurality of road links, storing the traveling state data in a traveling state database for each traveling direction ;
    Receiving, from a device mounted on the user vehicle, a driving state prediction request including data for specifying a road link scheduled to travel and data for specifying a traveling direction after passing through the road link ;
    Reading from the running state database, the running state data of the road link scheduled to run and data specifying the traveling direction after passing through the road link ;
    Progression from the running state data read from the running state database, wherein generating the Alternative traveling direction running state data averaged for each travel direction, corresponding to the data identifying the moving direction contained in the running state estimation demand Transmitting directional driving state data to a device mounted on the user vehicle;
    A program that executes
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