KR20220086811A - Apparatus and method to notify vehicle drivers of traffic congestion interval length at a ramp entrance or exit - Google Patents

Abstract

It relates to a method of notifying the length of a congested section of a vehicle entrance and exit, and the method of notifying the length of a congested section of a vehicle entrance and exit is (a) a plurality of roads moving on the target road including the target entry/exit road and the main line, which are the target of determining the length of the congested section collecting vehicle data on the vehicle; and (b) calculating and providing a length of a congestion section of the target entry/exit road in consideration of the collected vehicle data, wherein the vehicle data in step (a) includes at least one of a position and a speed of the vehicle on the road. It may be data related to one.

Description

{APPARATUS AND METHOD TO NOTIFY VEHICLE DRIVERS OF TRAFFIC CONGESTION INTERVAL LENGTH AT A RAMP ENTRANCE OR EXIT}

The present application relates to an apparatus and method for notifying a traffic congestion interval length of a vehicle ramp entrance or exit.

Most vehicle drivers use navigation, a service that guides a route to a destination, while driving. Most of the navigation services are based on technology for acquiring vehicle location information using positioning technology, including Global Positioning System (GPS). In addition to the basic navigation service, various technologies have been proposed and developed to provide additional services for improving the driver's convenience.

The technology that is the background of the present application is disclosed in Korean Patent Application Laid-Open No. 10-2019-0048026.

However, although various navigation technologies or driver assistance services have been developed in the prior art, many vehicle drivers enter the main line by entering the ramp entrance or exit guided by the navigation system when driving the vehicle on high-speed roads and arterial roads. It is often impossible to get out of it. A more detailed description may be understood with reference to FIG. 1 .

1 is a diagram for explaining a problem with a navigation service technology for a conventional entry/exit road.

Referring to FIG. 1 , according to the conventional navigation service technology, a lane for entering into the entrance and exit (ramp entrance, 20) in advance in a section 10 where a number of vehicles are long congested in order to exit to the entrance/exit road 20 In the case of failure to change, as shown in the vehicle (a) shown in FIG. 1, a lane change must be made by intervening between vehicles that are late, or the next entrance and exit path There is a problem that often occurs when it is necessary to return to a desired destination after driving the vehicle to the destination.

That is, when many vehicle drivers in the prior art move along a route guided by a navigation system, for example, when they want to enter and exit from the main line toward the entry/exit road 20, the vehicle on the section 10 that is long stagnant toward the entry/exit road 20 There are often cases in which they cannot easily enter and exit toward the entry/exit road 20 because they do not recognize them. As another example, in the case of drivers of a specific vehicle 30 , even though they are not going to enter and exit the entry/exit road 20 , they are mistakenly intervened in the line 10 of vehicles that are congested toward the entry/exit road 20 . There is often a case of wasting, etc.

Therefore, there is an urgent need to develop a technology capable of solving the problem of the conventional navigation service technology for a simple entry/exit path (ramp entry/exit path).

The present application is to solve the problems of the prior art described above, and to provide an apparatus and method for notifying the length of a congested section of a vehicle entrance and exit that can solve the problem of the conventional navigation service technology for a simple entrance and exit (ramp entrance and exit) aim to

The present application is intended to solve the problems of the prior art described above, in situations that have frequently occurred in the prior art, that is, a situation in which the entry and exit road are interrupted late, a situation in which the entry and exit road cannot be entered (thus the vehicle operation until the next entry and exit road) A vehicle entrance and exit road that can prevent in advance situations such as a situation in which you have to return to the desired destination after performing the operation) An object of the present invention is to provide an apparatus and method for notifying the length of a congested section.

However, the technical problems to be achieved by the embodiments of the present application are not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the method for notifying the length of the vehicle entrance/exit congestion section according to an embodiment of the present application includes (a) the target road including the target entry/exit road and the main line, which are the target of determining the length of the congestion section collecting vehicle data regarding a plurality of on-road vehicles moving on the vehicle; and (b) calculating and providing a length of a congestion section of the target entry/exit road in consideration of the collected vehicle data, wherein the vehicle data in step (a) includes at least one of a position and a speed of the vehicle on the road. It may be data related to one.

In addition, the vehicle data in step (a) includes first type vehicle data measured by a plurality of vehicle detection sensors installed at intervals on the road surface of the target entrance and exit, and the step (b) includes, The length of the congestion section is calculated in consideration of the separation distance between the installation position of each of the plurality of vehicle detection sensors and the entrance position of the target entrance and exit, and whether the first type vehicle data is measured by the plurality of vehicle detection sensors. can

In addition, in the step (a), the vehicle data is a second type obtained by image analysis of a captured image including each of a plurality of points on the target entry/exit road photographed by a plurality of image sensors installed at intervals on the target road. Including vehicle data, in step (b), when the abnormal detection vehicle data exists among the collected vehicle data, the location of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data from the entrance position of the target entry/exit road The distance to can be calculated as the length of the congestion section.

In addition, in step (b), when there are a plurality of abnormal detection vehicle data, a corresponding vehicle on the road located at the furthest distance from the entrance position among corresponding vehicles on the road corresponding to each of the plurality of abnormal detection vehicle data. The length of the congestion section can be calculated based on the distance to the location of .

In addition, the abnormal detection vehicle data may be data in which at least one of a change amount of a vehicle position on a road and a change amount of a speed in an image identified based on image analysis of the captured image is less than a threshold change amount.

In addition, the vehicle data in step (a) includes third type vehicle data measured by a measurement sensor provided in each of the plurality of on-road vehicles, and in step (b), among the collected vehicle data When the abnormal detection vehicle data exists, the distance from the entrance position of the target entry/exit road to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data may be calculated as the length of the congestion section.

In addition, the method for notifying the length of the congested section of the vehicle entrance and exit according to an embodiment of the present application further comprises the step of (c) generating and providing navigation guide information in consideration of the length of the congested section calculated in step (b), In the step (c), based on the position of the terminal congestion vehicle among the congestion vehicles on the congestion path corresponding to the length of the congestion section, the position of the terminal congestion vehicle among the plurality of vehicles on the road is located behind the position, but the Navigation guidance information in consideration of the lane changeable distance may be provided for each of the vehicles scheduled to enter and exit the target entry/exit road.

In addition, in step (c), the lane changeable distance is at least one of a separation distance from the location of the terminal congestion vehicle to each of the vehicles scheduled to enter and exit, and lane location information of each of the vehicles scheduled to enter and exit on the target road In consideration of , it may be calculated differently for each of the vehicles scheduled to enter and exit.

In addition, in step (c), there is a traffic jam related vehicle that is erroneously stopped from among the congestion related vehicles including the stationary entry and exit scheduled vehicles and the congestion vehicles extending to the rear of the terminal congestion vehicle. If it is determined that the traffic jam is to be performed, navigation guide information in consideration of a migratory path for guiding the vehicle related to the mistake to deviate from the extended congestion path corresponding to the congestion-related vehicles may be generated and provided.

In addition, the method of notifying the length of the length of the vehicle entry/exit road congestion section according to an embodiment of the present application further includes the step of (d) predicting a change in the length of the congestion section length in consideration of real-time vehicle data collected from each of the vehicles scheduled to enter and exit. and, in step (b), the calculated congestion section length may be updated in consideration of the change in length predicted in step (d).

In addition, in step (a), the vehicle data includes fourth type vehicle data measured by a plurality of object detection units installed in the form of posts at intervals on the roadside corresponding to the target entrance and exit routes, and the plurality of Any one of the object detection units of the object detection unit includes a distance detection sensor provided on the side of the body, wherein the distance detection sensor is a target entry/exit road within the target road based on the installation position of the one object detection unit. A number corresponding to the number of lanes may be provided.

In addition, the number of installation of the plurality of object detection units may be less than the number of installation of the plurality of vehicle detection sensors.

On the other hand, the apparatus for notifying the length of a congested section of a vehicle entry/exit road according to an embodiment of the present application is vehicle data related to a plurality of vehicles on the road moving on the target road including the target entry/exit road and the main line, which are the target of the determination of the length of the congestion section a collection unit to collect; and a providing unit calculating and providing a length of a congestion section of the target entry/exit road in consideration of the collected vehicle data, wherein the vehicle data may be data related to at least one of a location and a speed of the vehicle on the road.

In addition, the vehicle data includes first type vehicle data measured by a plurality of vehicle detection sensors installed at intervals on the road surface of the target entrance and exit, and the providing unit, each installation of the plurality of vehicle detection sensors The length of the congestion section may be calculated in consideration of a separation distance between a location and an entrance location of the target entrance and exit and whether the first type vehicle data is measured by the plurality of vehicle detection sensors.

In addition, the vehicle data includes second type vehicle data obtained by image analysis of a captured image including each of a plurality of points on the target entrance and exit taken by a plurality of image sensors installed at intervals on the target road, The providing unit may include, when there is abnormal detection vehicle data among the collected vehicle data, a distance from the entrance position of the target entrance/exit road to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data as the length of the congestion section can be calculated.

In addition, the providing unit may include, when there are a plurality of abnormal detection vehicle data, to the position of the corresponding vehicle on the road located at the furthest distance from the entrance position among the corresponding vehicles on the road corresponding to each of the plurality of abnormal detection vehicle data The length of the congestion section may be calculated based on the distance of .

In addition, the abnormal detection vehicle data may be data in which at least one of a change amount of a vehicle position on a road and a change amount of a speed in an image identified based on image analysis of the captured image is less than a threshold change amount.

In addition, the vehicle data includes third type vehicle data measured by a measurement sensor provided in each of the plurality of on-road vehicles, and the providing unit includes, when there is abnormal detection vehicle data among the collected vehicle data, A distance from an entrance position of the target entry/exit road to a position of a corresponding vehicle on the road corresponding to the abnormal detection vehicle data may be calculated as the length of the congestion section.

In addition, the apparatus for notifying the length of the length of the congested section of the entry/exit road according to an embodiment of the present application further includes a guide information providing unit that generates and provides navigation guide information in consideration of the calculated length of the congested section, wherein the guide information providing unit comprises: Based on the position of the terminal congestion vehicle among the congestion vehicles on the congestion path corresponding to the length of the congestion section, the entrance and exit that are located behind the position of the terminal congestion vehicle among the plurality of vehicles on the road but are scheduled to enter and exit through the target entrance and exit For each of the scheduled vehicles, navigation guidance information in consideration of the lane changeable distance may be provided.

In addition, the lane changeable distance may include at least one of a separation distance from the location of the terminal congestion vehicle to each of the vehicles scheduled to enter and exit, and lane location information of each of the vehicles scheduled to enter and exit on the target road, in consideration of the entry and exit It may be calculated differently for each of the planned vehicles.

In addition, the guide information providing unit is configured to extend to the rear of the terminal congested vehicle and include a traffic jam related vehicle that is erroneously congested among congestion related vehicles including the congested vehicles and the congested vehicles. When it is determined that there is, it is possible to generate and provide navigation guidance information in consideration of a migratory route for guiding the vehicle related to the real traffic congestion to deviate from the extended congestion route corresponding to the congestion-related vehicles.

In addition, the device for notifying the length of a congested section of an entry/exit road according to an embodiment of the present application further comprises a prediction unit for predicting a change in the length of the length of the congestion section in consideration of real-time vehicle data collected from each of the vehicles scheduled to enter and exit, The providing unit may update the calculated length of the congestion section in consideration of the predicted change in length.

In addition, the vehicle data includes fourth type vehicle data measured by a plurality of object detection units installed in the form of posts at intervals on the roadside corresponding to the target entry/exit route, and any one of the plurality of object detection units One object detection unit includes a distance detection sensor provided on a side surface of the body, wherein the distance detection sensor corresponds to the number of lanes of the target entry/exit road within the target road based on the installation position of the one object detection unit It may be provided in the number of

In addition, the number of installation of the plurality of object detection units may be less than the number of installation of the plurality of vehicle detection sensors.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present application. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description.

According to the above-described problem solving means of the present application, by providing an apparatus and method for notifying the length of a congested section of a vehicle entry/exit road, it is possible to solve the problem of the conventional navigation service technology for a simple entry/exit road (ramp entry/exit road).

According to the above-described problem solving means of the present application, by providing an apparatus and method for notifying the length of a vehicle entry/exit road congestion section, situations that have frequently occurred in the prior art, that is, a situation in which the vehicle is interrupted late into the entrance/exit road, a situation in which it is not possible to enter the entrance/exit road (As a result, it is necessary to return to the desired destination after driving the vehicle to the next access road), a situation in which time was wasted because the vehicle was incorrectly caught in the entry/exit line even though it was not going to enter and exit the road. can be prevented in advance.

However, the effects obtainable herein are not limited to the above-described effects, and other effects may exist.

1 is a diagram for explaining a problem with a navigation service technology for a conventional entry/exit road.
2 is a view showing a schematic configuration of an apparatus for notifying the length of a vehicle entrance/exit congestion section length according to an embodiment of the present application.
3 is a view for explaining a device for notifying a length of a vehicle entrance and exit congested section according to an embodiment of the present application.
4 is a view for explaining a case in which the collection unit collects the first type vehicle data in the device for notifying the length of a congested section of a vehicle entrance/exit road according to an embodiment of the present application.
5 is a diagram illustrating an example of navigation guide information provided by the guide information providing unit of the device for notifying the length of a congested section of a vehicle entry/exit road according to an embodiment of the present application.
6 is a diagram schematically illustrating a configuration of a vehicle entry/exit congestion section length notification system including a vehicle entry/exit road congestion section length notification device according to an embodiment of the present application.
7 is an operation flowchart for a method for notifying a length of a congested section of a vehicle entrance/exit road according to an embodiment of the present application.

Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art to which the present application pertains can easily carry out. However, the present application may be implemented in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout this specification, when a part is "connected" with another part, it is not only "directly connected" but also "electrically connected" or "indirectly connected" with another element interposed therebetween. "Including cases where

Throughout this specification, when a member is positioned “on”, “on”, “on”, “on”, “under”, “under”, or “under” another member, this means that a member is positioned on the other member. It includes not only the case where they are in contact, but also the case where another member exists between two members.

Throughout this specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

FIG. 2 is a view showing a schematic configuration of an apparatus 100 for notifying a length of a congested section of a vehicle entrance/exit road according to an embodiment of the present application. FIG. 3 is a view for explaining the apparatus 100 for notifying the length of a congested section of a vehicle entrance/exit road according to an embodiment of the present application.

Hereinafter, the device 100 for notifying the length of the congested section of the vehicle entrance/exit road according to an embodiment of the present application will be referred to as the present device 100 for convenience of description.

2 and 3 , the present device 100 relates to a device for notifying a length of a congestion section of a vehicle entrance/exit road. In particular, the device 100 predicts (calculates) the length of the congestion section of the ramp entrance or exit guided by the navigation system when driving a vehicle on high-speed roads and arterial roads, etc. will be.

The apparatus 100 may include a collecting unit 110 , a providing unit 120 , a guide information providing unit 130 , and a predicting unit 140 .

The collection unit 110 includes a plurality of vehicles 50 (1, 2, 3, 4, …) can collect vehicle data.

In this case, in the present application, the entrance and exit paths may be referred to differently as ramp entrances and exits, road entrances and exits, and the like. Such an entrance and exit path may mean, for example, a part including an IC (interchange), a junction (JC, junction), etc. on a highway, etc., but is not limited thereto, and where Any is applicable

The vehicle data collected by the collection unit 110 may refer to data (information) related to the location and speed of the vehicle. That is, the vehicle data collected by the collection unit 110 may be data related to at least one of the positions and speeds of the vehicles 1, 2, 3, 4, ... on the road.

The vehicle data collected by the collection unit 110 may include first to fourth type vehicle data to be described later, and a detailed description thereof will be described later.

In addition, the target road P may mean any one of an upward road and a downward road.

The providing unit 120 may calculate and provide the length of the congestion section r1 of the target entry/exit road P1 in consideration of the vehicle data collected by the collection unit 110 . In this case, the providing unit 120 provides, for example, information on the calculated congestion section length r1 to a navigation server (not shown) and/or a user terminal (not shown) interworking with the device 100 through a network. can do.

In this case, as used herein, 'A and/or B' may mean both A and B, or may mean only one of A and B.

Also, that the device 100 is interworking with a navigation server (not shown) and/or a user terminal (not shown) through a network may mean a state in which data can be transmitted/received through the network.

The network includes, for example, a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network, a World Interoperability for Microwave Access (WIMAX) network, the Internet, a Local Area Network (LAN), and a Wireless Local Area (Wireless LAN) network. Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) network, NFC (Near Field Communication) network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. may be included. and is not limited thereto.

A user terminal (not shown) is, for example, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile) Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(WCode Division Multiple Access), Wibro(Wireless Broadband Internet) terminal, Smartphone, SmartPad, Tablet PC, Laptop, It may include all types of wired/wireless communication devices such as wearable devices and desktop PCs, but is not limited thereto.

The navigation server (not shown) receives information on the length of the congestion section (r1) calculated by the device 100 from the device 100 and generates navigation guide information including information on the length of the congestion section (r1). Thus, it may mean a server that provides to a plurality of users (or a plurality of user terminals that are terminals of a plurality of users). In this case, for example, when a navigation server (not shown) exists, the user terminal (not shown) may mean a user terminal (user terminal) that receives navigation guide information provided from the navigation server (not shown).

On the other hand, when a navigation server (not shown) does not exist, the user terminal (not shown) provides navigation guidance information (ie, calculated It may mean a user terminal (user terminal) that receives navigation guide information including information on the length of the congestion section r1) from the device 100 .

The collection unit 110 may collect at least one of first type vehicle data to fourth type vehicle data as vehicle data. Hereinafter, the first to fourth type vehicle data will be described in more detail.

FIG. 4 is a view for explaining a case in which the collection unit 110 collects the first type vehicle data in the apparatus 100 for notifying the length of a congested section of a vehicle entry/exit road according to an embodiment of the present application.

Referring to FIG. 4 , the vehicle data collected by the collection unit 110 is installed (buried) on the road surface of the target entry/exit path P1 by a plurality of vehicle detection sensors 11, 12, 13, 14, ... The measured first type vehicle data may be included.

A plurality of vehicle detection sensors (11, 12, 13, 14, ...) may be installed (buried) spaced apart at intervals along the longitudinal direction of the target entrance and exit (P1) on the road surface of the target entrance (P1). Herein, the vehicle detection sensors 11, 12, 13, 14, ... may mean, for example, a detection line (detection line).

According to this, the first type vehicle data is, for example, vehicle data (position, speed, etc.) acquired (identified) using a plurality of vehicle detection sensors (ie, a plurality of detection lines) located on the target entrance/exit road P1. can mean

In the present application, in order to collect the first type vehicle data, as an example, a plurality of vehicle detection sensors 11, 12, 13, 14, ... are spaced on the road surface of the target access road P1 as shown in FIG. It can be placed and installed in advance (buried).

At this time, the installation interval between the plurality of vehicle detection sensors 11, 12, 13, 14, ... is set to an interval such that each of the small vehicles can be located in the space between each vehicle detection sensor, for example, based on the small vehicle. However, this is only one example for helping understanding of the present application, and is not limited thereto, and may be variously set by the user.

When the collecting unit 110 collects the first type vehicle data, the providing unit 120 provides a plurality of vehicle detection sensors 11, 12, 13, 14, ... of each installation location and the target entry/exit path P1. Considering the separation distance between the entrance positions (A), and whether the first type vehicle data is measured by a plurality of vehicle detection sensors (11, 12, 13, 14, …), the length of the congestion section (r1) can be calculated have.

4, for example, as a plurality of vehicle detection sensors 11, 12, 13, 14, ..., a first vehicle detection sensor 11, a second vehicle detection sensor 12, and a third vehicle detection Assume that the sensor 13 and the fourth vehicle detection sensor 14 are included. In addition, these plurality of vehicle detection sensors (11, 12, 13, 14, ...) are installed (buried) with an installation interval of 3 m based on the entrance position (A) of the target entrance (P1) as a reference (start) let's say it's done

In this case, it is assumed that the first type vehicle data is measured only in the first vehicle detection sensor 11 and the second vehicle detection sensor 12 among the plurality of vehicle detection sensors 11, 12, 13, 14, .... In other words, it is assumed that the collection unit 110 collects vehicle data (first type vehicle data) only through the first vehicle detection sensor 11 and the second vehicle detection sensor 12 . In this case, the providing unit 120 calculates the separation distance from the entrance position (A) of the target entrance/exit path (P1) to the installation position of the vehicle detection sensor where the measurement of the first type vehicle data is not made, the length of the congestion section (r1) can be calculated as According to the above-described example, since the vehicle detection sensor for which the measurement of the first type vehicle data is not performed is the third vehicle detection sensor 13, for example, the providing unit 120 calculates that the length of the congestion section (r1) is 6m. can do.

In addition, the vehicle data collected by the collection unit 110 is photographed including each of a plurality of points on the target entry/exit path P1 photographed by a plurality of image sensors (not shown) installed at intervals on the target road P. It may include second type vehicle data obtained by image analysis of the image. Accordingly, any one of the plurality of image sensors may capture an image including any one of a plurality of points on the target entry/exit path P1. Through the analysis of the captured image, the collection unit 110 may acquire (collect) the second type vehicle data.

Here, the plurality of image sensors may mean, for example, a vehicle detector. However, the present invention is not limited thereto, and a plurality of image sensors are installed (prepared) on the target road P, and the location and speed of a vehicle moving on the target road P are analyzed based on image analysis (image analysis). Any configuration capable of acquiring (photographing) an obtainable image may be applied.

According to this, the second type vehicle data is, for example, vehicle data (position, speed, etc.), that is, vehicle data obtained based on image analysis.

When the collection unit 110 collects the second type vehicle data, the providing unit 120 performs an abnormal detection vehicle data among the vehicle data (particularly, the second type vehicle data) collected by the collection unit 110 . , a distance from the entrance position A of the target entry/exit path P1 to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data may be calculated as the congestion section length r1.

In this case, the abnormal detection vehicle data may be data in which at least one of a change amount of a vehicle position on a road and a change amount of a speed in an image identified based on image analysis of the captured image is less than a threshold change amount.

Illustratively, based on FIG. 3 , for example, the first vehicle 1 and the second vehicle 2 among the plurality of road vehicles 50 on the target road P enter and exit the target entry/exit road P1 . Let's say we're stagnant to do that. And, at the rear of the second vehicle 2 so that the fourth vehicle 4, which was running from the rear of the second vehicle 2, extends to the rear side of the second vehicle 2 in order to enter and exit the target entrance and exit path P1. Let's say we're standing still.

At this time, for example, in the case of vehicles such as the third vehicle 3 that does not enter and exit the target entry/exit road P1, the main line ( P2) will follow. On the other hand, in the case of vehicles such as the fourth vehicle 4 scheduled to enter and exit the target entry/exit road P1, the speed is gradually reduced to exit to the target entry/exit road P1 to stop at the rear of the second vehicle 2 something to do.

In consideration of this point, the collecting unit 110 may acquire and analyze (image analysis) a captured image (a plurality of captured images) captured to include each of a plurality of points on the target entry/exit path P1, and based on this Vehicle data of each vehicle in the captured image may be acquired (collected). At this time, according to the image analysis of the captured image, as the speed of the fourth vehicle 4 gradually decreases to enter and exit the target entrance/exit path P1, the speed change amount (or position) of the fourth vehicle 4 in the captured image. The change amount) may appear relatively large compared to the speed change amount (or position change amount) of the third vehicle 3 that proceeds without speed deceleration.

In other words, according to the image analysis, vehicle data regarding the position, speed, etc. of the vehicles in the image may be identified. At this time, the vehicle data of the fourth vehicle 4 gradually decreases in speed to enter and exit the target entrance/exit road P1. Accordingly, the amount of change in speed (or change in position) in the image may appear as data belonging to less than the threshold change amount. The provider 120 may identify (recognize) the vehicle data of the fourth vehicle 4 as abnormal detection vehicle data. Accordingly, the fourth vehicle 4 may be recognized as a corresponding vehicle on the road, which is a vehicle corresponding to the abnormal detection vehicle data.

Based on this, the providing unit 120 determines, for example, the distance from the location on the road of the fourth vehicle 4, which is the vehicle identified as anomaly detection vehicle data, to the entrance location A of the target entry/exit road P1. It can be calculated as the length of the congestion section (r1). In other words, based on the image analysis result, the providing unit 120 is configured to extend from the position of the fourth vehicle 4 that is stationary to extend to the rear of the second vehicle 2 (stopped for entering and exiting the target entrance and exit). The distance to the entrance location A of the target entry/exit path P1 may be calculated as the congestion section length r1.

The providing unit 120 provides, for example, when a plurality of abnormal detection vehicle data among the vehicle data collected by the collection unit 110 exists, the entrance location (A) of corresponding vehicles on the road corresponding to each of the plurality of abnormal detection vehicle data. The length of the congestion section r1 may be calculated based on the distance to the position of the corresponding vehicle on the road located at the furthest distance from the . The providing unit 120 may calculate the length corresponding to the distance between the position of the corresponding vehicle on the road located at the furthest distance and the entrance position (A) as the length of the congestion section (r1).

In the case of an image sensor that captures images of vehicles moving on the road surface of the target road P from the upper side of the target road P, it is possible to capture an image including two or more vehicles. Accordingly, it can be said that it is possible to simultaneously acquire (collect) vehicle data of two or more plural vehicles in the single image from a single image (captured image) captured by the image sensor. That is, in acquiring vehicle data, according to the image captured by the image sensor, the vehicle detected by the vehicle detection sensor compared to the vehicle detected by the vehicle detection sensor over a wider area (range) based on the longitudinal direction of the vehicle. Vehicle data can be acquired (detected) simultaneously (at once). Accordingly, in consideration of this point, the installation interval between the plurality of image sensors (not shown) herein may be set to be longer than the installation interval of the plurality of vehicle detection sensors 11, 12, 13, 14, ..., for example. .

In addition, as a result of analysis of the captured image to include the fourth vehicle 4 , it is assumed that the image size of the captured image has a pixel size of 1024 horizontal and 580 vertical. Also, it is assumed that an image in which the fourth vehicle 4 is moved in the vertical direction (from the upper side to the lower side in the image) is captured as the captured image. Also, it is assumed that the threshold change amount, which is a reference for determining whether the vehicle data is abnormal detection among the plurality of vehicle data, is set to 450 pixels on a pixel basis, for example.

At this time, as an example, as a result of image analysis of the captured image, the position change of the fourth vehicle 4 in the captured image (especially, as an example, the fourth vehicle 4 on the path/lane corresponding to the target entry/exit road in the captured image) If it is determined that 300 pixels are changed in 1 second based on the vertical position), the change amount is less than the threshold change amount, so the providing unit 120 determines that the vehicle data of the fourth vehicle 4 is abnormal. It can be judged (recognized) as data. On the other hand, as an example, when it is determined that the change in the position of the fourth vehicle 4 (in particular, the change in the position of the fourth vehicle on any one of the lanes in the target road) is changed by 500 pixels per second, Since the corresponding change amount is equal to or greater than the threshold change amount, the providing unit 120 may determine (recognize) that the vehicle data of the fourth vehicle 4 is not the abnormal detection vehicle data.

Based on this, the providing unit 120 may calculate the length to the entrance position A of the target entrance/exit path P1 as the congestion section length r1 based on the position of the vehicle corresponding to the abnormal detection vehicle data.

In addition, the vehicle data collected by the collection unit 110 includes third type vehicle data measured by measurement sensors provided in each of the plurality of on-road vehicles 50 (1, 2, 3, 4, ??). can do.

Here, the measurement sensor may mean, for example, a GPS sensor provided in the vehicle itself to detect the location of the vehicle, but is not limited thereto, and any configuration capable of measuring the location of the vehicle may be applied. Also, the measurement sensor may include, for example, a distance measurement sensor for detecting a distance between different vehicles.

Accordingly, the third type vehicle data may refer, for example, to vehicle data (position, speed, etc.) acquired based on the GPS sensors of each of the vehicles 50 on the road moving on the target road P.

When the collecting unit 110 collects the third type vehicle data, the providing unit 120 detects anomalies from the entrance location A of the target entrance/exit path P1 when there is abnormal detection vehicle data among the collected vehicle data. The distance to the position of the corresponding vehicle on the road corresponding to the detected vehicle data may be calculated as the length of the congestion section r1. Here, the abnormal detection vehicle data includes at least one of a change amount of a position change and a change amount of a speed of the vehicle on the road identified based on analysis of the third type vehicle data (ie, a GPS sensing value) measured by the measurement sensor is a threshold change amount It may mean data belonging to less than.

For example, it is assumed that the threshold change amount is set to 3m per second based on the GPS sensing value of the vehicle. At this time, as a result of analyzing the sensing value (GPS sensing value) of the measurement sensor in the fourth vehicle 4 , the GPS position of the fourth vehicle 4 changes by 5 m per second, and exemplarily the entrance of the target entrance/exit path P1 When it is analyzed that the amount of position change in the area around the location A changes by 0.5 m per second, the providing unit 120 provides vehicle data corresponding to the fourth vehicle 4 (particularly, the fourth vehicle corresponding to the fourth vehicle). 3 type vehicle data) may be recognized as abnormal detection vehicle data. In this case, the providing unit 120 may calculate the distance from the location of the fourth vehicle 4 to the entrance location A as the length of the congestion section r1.

In addition, the vehicle data collected by the collection unit 110 is measured by a plurality of object detection units installed (arranged) in the form of a post (POST, pillar) at intervals on the roadside corresponding to the target entrance/exit path P1. The fourth type vehicle data may be included. The description of the fourth type vehicle data will be described later in more detail.

As described above, the collection unit 110 may collect vehicle data (position, speed, etc.) regarding a plurality of on-road vehicles 50 moving on the target road P. At this time, the collection unit 110 is provided in a plurality of vehicle detection sensors 11, 12, 13, 14, ...) provided on the target road (P), a plurality of image sensors provided on the target road (P), the vehicle itself Vehicle data may be collected by using at least one of the measured sensor and a plurality of object detection units provided on the target road P (in particular, on the roadside).

In this case, the plurality of object detection units may be provided (installed, disposed) to be less than the number of the plurality of vehicle detection sensors (plural detection lines), exemplarily described above.

The guide information providing unit 130 may generate and provide navigation guide information in consideration of the congestion section length r1 calculated by the providing unit 120 . At this time, as described above, the providing unit 120 provides the information on the calculated congestion section length r1 to the navigation server (not shown) and/or the user terminal (not shown) interworking with the device 100 through a network. ) can be provided.

Referring to FIG. 3 as an example, guide information

The providing unit 130 provides a terminal congestion vehicle (eg, the second vehicle 2) among the vehicles (eg, the first vehicle 1 and the second vehicle 2) on the congestion path corresponding to the length r1 of the congestion section. Based on the location of the vehicle (2)), the vehicles scheduled to enter and exit the vehicle (eg, the fourth vehicle (for example, the fourth vehicle) 4) etc.), navigation guide information in consideration of the lane changeable distance r2 may be provided.

The lane changeable distance r2 considered by the guide information providing unit 130 is from the location of the terminally congested vehicle (eg, the second vehicle 2) to the vehicles (eg, the fourth vehicle 4), etc. ) Considering at least one of the separation distance to each, and lane location information of each of the vehicles (eg, the fourth vehicle 4, etc.) scheduled to enter and exit on the target road P, the vehicles scheduled to enter and exit (eg. 4 may be calculated differently for each vehicle (4), etc.). In this case, when calculating the lane changeable distance r2, information on the lane location of the target entry/exit road P1 may also be considered.

Here, the separation distance from the position of the terminal congestion vehicle to each of the vehicles scheduled to enter and exit may mean, for example, a distance measured based on a parallel line with the target road P.

According to this, the guide information providing unit 130 determines in which lane of the plurality of lanes in the target road P the vehicle entering and exiting is located, and how far the vehicle entering and exiting is from the position of the terminal congestion vehicle (that is, the separation distance is how) and the number of lanes in which the target entry/exit road P1 is located in the target road P, the lane changeable distance r2 may be calculated differently for each of the vehicles scheduled for entry/exit. Thereafter, the guide information providing unit 130 may generate navigation guide information in which the differently calculated lane changeable distance r2 is reflected, and provide it to each of the corresponding vehicles scheduled to enter and exit.

Such a lane changeable distance r2 may be used as information for inducing a lane change in advance so that a situation in which the vehicle is cut in late into the target entry/exit road P1 does not occur. The lane changeable distance r2 means the maximum distance (maximum distance) at which a lane change is possible in allowing a vehicle to easily exit to the target entrance/exit road P1 without intervening between traffic jams. can do.

5 is a diagram illustrating an example of navigation guide information provided by the guide information providing unit 130 of the apparatus 100 for notifying the length of a congested section of a vehicle entry/exit road according to an embodiment of the present application. Illustratively, FIG. 5 is an example of a plurality of on-road vehicles 50 shown in FIG. 3 , and in the case where the fourth vehicle 4 is a vehicle scheduled to enter and exit the target entrance/exit road P1, the fourth vehicle 4 An example of navigation guidance information provided to

Referring to FIG. 5 , as an example, the fourth vehicle 4 is moving to the second lane of three lanes (ie, three lanes) in the target road P as shown in FIG. 3 , and in this state, the target entry and exit Let's say we plan to enter and exit the furnace (P1). In this case, the fourth vehicle 4 may be recognized as a vehicle scheduled to enter and exit. Also, it is assumed that the third lane among the three lanes is a lane corresponding to the target entry/exit road P1 (ie, an entry/exit lane).

Here, the recognition of whether the fourth vehicle 4 is a vehicle scheduled to enter or exit may be made, for example, by determining whether the fourth vehicle 4 is a vehicle corresponding to the above-described abnormal detection vehicle data.

In this case, when the fourth vehicle 4 is recognized as the vehicle scheduled to enter and exit, the guide information providing unit 130 is spaced apart from the position of the fourth vehicle 4 to the position of the second vehicle 2 which is a terminal congestion vehicle. The distance can be calculated as the lane changeable distance r2. At this time, when the lane changeable distance r2 is calculated as 300m, the guide information providing unit 130 shows information such as 'lane change 300m' as navigation guide information in which the lane changeable distance r2 is considered as an example. It can be provided as shown in 5. In this case, information such as 'lane change 300m' may be referred to differently as lane change distance guidance information, which has the same meaning as 'please change the lane within 300m in the future to get out of the target access road (P1)'. .

In addition, the navigation guidance information may include entry/exit road guidance information. Here, the entry/exit guide information may mean information on the distance from the location of the fourth vehicle 4 to the entrance location A of the target entry/exit path P1 that is a ramp entry/exit path, for example, 'exit 500m It may be information such as '.

According to this, the guide information providing unit 130 generates navigation guide information including lane change distance guide information (that is, information on the lane changeable distance) and entry/exit guide information, and transmits it to the fourth vehicle 4 through a network. can be provided through

In other words, FIG. 5 shows an example of a screen of the navigation device in which the lane changeable distance r2 is provided to the driver. 5, when the distance to the ramp exit starting point (that is, the entrance position of the target entrance) is 500 m (meters) and the length (r1) of the congestion section is 200 m (meters), the remaining until the starting position of the congestion section is Since the distance is 300 m (meters), an example of the case of indicating that the future lane changeable distance is 300 m (meters) is shown.

According to this, the guide information providing unit 130 generates and provides navigation guide information including lane change distance guide information (ie, information on the lane changeable distance), and thus provides navigation guide information that is frequently encountered in the prior art. It can be provided to prevent in advance the situation of interrupting late, the situation of not being able to enter the entrance and exit (thus having to return to the desired destination after performing the vehicle operation until the next entrance and exit).

In addition, referring to FIG. 3 as an example, as an example, the first vehicle 1 and the second vehicle 2 among the plurality of on-road vehicles 50 (1, 2, 3, 4, ??) are Assume that the vehicle belongs to congested vehicles on the congested path corresponding to the length of the congested section r1 calculated by the providing unit 120 . In addition, it is said that the fourth vehicle 4 is a vehicle scheduled to enter and exit the target entrance/exit road P1, but it extends to the rear of the terminal congestion vehicle (the second vehicle 2) among the congestion vehicles and is in a state of being stuck together. lets do it. In addition, it is assumed that the second vehicle 2 is not a vehicle to actually enter and exit the target entry/exit road P1, but a vehicle to continue moving along the main road P2. That is, it is assumed that the second vehicle 2 is a vehicle (incorrect traffic jam related vehicle) that is mistakenly jammed between traffic jammed vehicles entering and exiting the target entry/exit road P1.

That is, the guide information providing unit 130 extends to the rear of the terminal congestion vehicle (eg, the second vehicle 2), and the vehicle (eg, the fourth vehicle 4) and the providing unit ( Congestion-related vehicles (ie, the first vehicle) including vehicles (eg, the first vehicle 1 and the second vehicle 2 ) on the congestion path corresponding to the length of the congestion section calculated in 120 ) (ie, the first vehicle) , the second vehicle, and the fourth vehicle), it may be determined whether there is a vehicle (eg, the second vehicle 2 ) related to the real traffic jam that is erroneously stopped. At this time, when it is determined that there is a vehicle related to the real traffic jam, the guide information providing unit 130 guides the vehicle related to the real traffic (the second vehicle) to deviate from the extended congestion path corresponding to the vehicles related to the congestion. It is possible to generate and provide the navigation guide information in consideration.

Here, the extended congestion path refers to a congestion path formed by congestion-related vehicles (ie, the first vehicle, the second vehicle, and the fourth vehicle), that is, the total congestion formed to enter and exit the target entrance/exit path P1. It may mean a path (this is a congested path generated in consideration of the location of the vehicle that is scheduled to enter and exit in real time to the rear of the terminal congested vehicle).

As an example, the guide information providing unit 130 provides navigation guidance information in consideration of the circulation route for the second vehicle (2), which is a vehicle related to accidental congestion. In order to get out of this and move along the main line P2 again, please change the lane to a two-lane instead of a three-lane'.

The guide information providing unit 130 provides navigation guidance information in consideration of the migratory route to the vehicle related to the traffic jam, so that the vehicle that should move along the main road (P2), not the vehicle that should originally enter the target entrance/exit road (P1) However, due to inexperienced driving, etc., a vehicle (that is, a vehicle related to accidental congestion) incorrectly caught in the congestion section for entering and exiting the target entrance/exit route (P1) (or the user of the vehicle) is guided to join the main line (P2) again. can do. Through this, the device 100 can help reduce the length of the congestion section of the target entry/exit P1 (ie, the entry/exit congestion section of the target entry/exit road) itself.

For example, it is assumed that the fourth vehicle 4 is moving along the target road P. And, it appears that the fourth vehicle 4 is going straight on the movement route (moving route to the destination) provided from the navigation server (not shown), for example, the corresponding target road P on which the fourth vehicle 4 is located. (For example, assuming that the target road is an ascending road among an ascending road and a descending road), compared with each other based on the traffic volume, it is determined that the speed of the fourth vehicle 4 is not slowing down, but is gradually slowing down. let's say it was At this time, the information on the traffic volume of the target road P is, for example, a national public database (DB) that provides traffic volume information, a navigation database (DB) in a navigation server (not shown), and a vehicle data DB in the device 100 . (not shown) may be information analyzed based on vehicle data stored in at least one of them, and is not limited thereto, and any configuration capable of acquiring traffic volume information may be utilized (applied).

In this case, the guide information providing unit 130 predicts that the fourth vehicle 4 is mistakenly inserted into a congestion section (ie, a section corresponding to the length of the congestion section) formed with respect to the target entrance and exit road P1, for example. (expected) can Accordingly, the guide information providing unit 130 is navigation guide information in consideration of the circulation route, such as 'If you are in the lane falling into the target entrance and exit, get out of it and move to the lane corresponding to the main line (P2) and keep going straight'. Information may be generated and provided to the fourth vehicle 4 (or provided to a user in the fourth vehicle 4).

The guide information providing unit 130 recognizes that a vehicle (accidentally related to a traffic jam) that is erroneously stuck in the congestion section of the target entry/exit road P1 is noise in the congestion section, Noise can be filtered by providing navigation guidance information. Through this, the device 100 provides a navigation guide information in consideration of the circulation route, and guides the vehicle that is incorrectly caught on the entrance and exits from the congested section, thereby reducing the effort to reduce the length of the congested section. can be tilted

The present device 100 provides navigation guide information in consideration of the circulation route, thereby preventing a situation in which time was wasted because a specific vehicle was erroneously intervened in the line of the entrance and exit even though a specific vehicle would not enter and exit the entrance or exit. It can be provided to prevent it from happening in advance.

The prediction unit 140 considers the real-time vehicle data collected from each of the vehicles scheduled to enter and exit the target entrance/exit road P1 (considering the relative distance between the front and the rear of each vehicle, the order, etc.), and the length of the congestion section (r1) ) can be predicted.

Here, the prediction unit 140 analyzes the collected real-time vehicle data, for example, the relative separation distance interval and order between vehicles scheduled to enter and exit with respect to the vehicle traveling direction (or the longitudinal direction of the target road) (this is the target entry/exit road ( P1) may mean an order of numbering from the entrance location A to the nearest), and a change in the length of the congestion section r1 may be predicted based on the analysis result.

In order to predict a change in the length of the congestion section r1, for example, real-time vehicle data stored in a navigation database DB in a navigation server (not shown) may be utilized. However, this is only an example to help the understanding of the present application, and is not limited thereto, and in order to predict a change in the length of the congestion section r1, real-time vehicle data collected by the device 100 is utilized as another example. (or real-time vehicle data stored in the vehicle database DB in the device) may be utilized.

The prediction unit 140 may predict a change in the length of the congestion section r1 by using real-time vehicle data of the vehicle.

For example, a real-time vehicle 20 that is going on a path that must enter and exit toward the target entry/exit road P1 among a plurality of road vehicles 50 (1, 2, 3, 4, ??) moving on the target road P. In the case where 4 vehicles are receiving navigation guidance information provided from a navigation server (not shown) as an example out of about 20 vehicles (that is, 20 vehicles scheduled to enter and exit) (in other words, information on 4 vehicles is stored in the navigation database in real time). In case of saving).

In this case, the prediction unit 140 secures (collects) vehicle data of four vehicles obtained in real time, and even if there is an error in vehicle data (eg, location, etc.) of the four vehicles, the relative among the four vehicles With this method, it is possible to analyze (set) the order or separation distance interval of a vehicle further ahead or a vehicle relatively further rearward. Thereafter, the prediction unit 140 may predict a change in the length of the congestion section r1 based on the analyzed information (the relative separation distance interval or order between vehicles scheduled to enter and exit).

Illustratively, based on FIG. 3, for example, as a result of analyzing the vehicle data of 4 vehicles in real time, all 4 vehicles want to enter and exit the target entrance/exit road (P1), sequentially reducing the speed and length of the congested section It is assumed that it is analyzed that it extends to the rear of the position of the terminal congestion vehicle (eg, the second vehicle 2 ) among the congestion vehicles on the congestion path corresponding to (r1) and shows a tendency to become congested. In this case, the prediction unit 140 determines that the length of the congestion section r1 is the first length (eg, 6 m) corresponding to the position of the terminal congestion vehicle (eg, the second vehicle 2 ) from the first entrance position (A). ), based on the analysis of real-time vehicle data, the length of the congestion section (r1) is longer by the sum of the lengths of each of the four vehicles (for example, the total length) (for example, by the length of 20m) change can be predicted.

The prediction unit 140 may predict a change trend of the length of the congestion section r1 based on vehicle data collected (acquired) in real time. As another example, the prediction unit 140 may learn the collected vehicle data as a deep learning model, and may predict a change (trend) of the congestion section length r1 through learning of the deep learning model. In this case, learning of the deep learning model may be tailored to the characteristics of the target entry/exit road P1 or target road P.

Herein, the deep learning model may refer to an artificial intelligence (AI) algorithm model, a machine learning (machine learning) model, a neural network model (an artificial neural network model), a neurofuzzy model, and the like. In addition, the deep learning model 3 is exemplarily known in the prior art, such as a convolutional neural network (CNN, convolutional neural network), a recurrent neural network (RNN), a deep neural network, etc. Various neural network models developed in the future can be applied.

The provider 120 may update the congestion section length r1 calculated by the provider 120 in consideration of a change in the length of the congestion section length r1 predicted by the predictor 140 . Illustratively, according to the aforementioned example, it is assumed that the length of the congestion section r1 is initially calculated as the first length (eg, 6m). At this time, when the length change predicted by the prediction unit 140 corresponds to a length of 20 m, which is the sum of the lengths of each of the four vehicles, for example, the providing unit 120 provides the predicted congestion in consideration of the real-time vehicle data. The value of the section length r1 may be updated from the value of the first first length of 6m to the value of the second length of 26m (this is a value calculated by adding 20m to 6m).

Meanwhile, a description of the fourth type vehicle data is as follows. The vehicle data collected by the collection unit 110 is a fourth type measured by a plurality of object detection units (not shown) installed (arranged) in the form of posts at intervals on the roadside corresponding to the target entry/exit path P1. It may include vehicle data.

Here, the plurality of object detection units (not shown) may be installed at intervals along the longitudinal direction of the target entry/exit path P1 on the roadside.

Any one of the plurality of object detection units may include a distance sensor provided on a side surface of the body. Here, the side of the body on which the distance sensor is provided may refer to a direction in which the lane on the target road P is viewed (ie, one side facing the lane) with respect to the roadside. The body portion may be provided in various shapes, such as a cylindrical shape and a rectangular pillar shape.

In addition, the distance sensor provided in any one of the object detection units is located on the same line as the installation position of any one object detection unit. It may be provided in a number corresponding to the number.

On the side of the body of any one object detection unit, at least one distance so as to correspond 1:1 with the number of lanes of the target entry/exit road in the target road P located on the same line as the location where the one object detection unit is installed A detection sensor (or a plurality of distance detection sensors) may be provided. In addition, when a plurality of distance sensing sensors are provided on the side of the body of any one object sensing unit, the plurality of distance sensing sensors may be provided on the side of the body and spaced apart from each other at intervals in the vertical direction of the body. . In this case, each of the plurality of distance sensors senses a distance from each of the lanes of the plurality of target access roads to the moving vehicle, thereby detecting the presence or absence of a moving vehicle, a change in speed, and the like.

3, for example, as follows. For example, the first entity sensing unit among the plurality of entity sensing units may be installed (arranged) on a roadside located on the same line as the position of the first vehicle 1 . At this time, since the number of lanes of the target entry/exit road within the target road P located on the same line as the installation position of the first object detection unit is one, the first object detection unit is located on the side of the body of the first entity detection unit. A distance sensor may be provided. Here, the first distance sensor may detect (sensing) information about a vehicle passing through a point corresponding to the position of the first vehicle 1 shown in FIG. 3 as an example. At this time, the information about the vehicle may include at least one of the presence or absence of a vehicle passing the point corresponding to the location of the first vehicle 1 (ie, detection of the presence or absence of a moving vehicle) and the speed of the vehicle as described above. have.

As another example, the second object detection unit among the plurality of object detection units may be installed (arranged) on the roadside located on the same line as the position of the fourth vehicle 1 based on the drawing of FIG. 3 . At this time, although not shown in the drawing, it is assumed that the number of lanes of the target entry/exit road within the target road P located on the same line as the installation position of the second object detection unit is two. In this case, the number of lanes of the target entry/exit road of two may refer to, for example, two lanes in the order of the rightmost lane among the three lanes in the target road P shown in FIG. 3 . Accordingly, the second lane and the third lane among the three lanes may be lanes of the target entry/exit road.

According to this, since the number of lanes of the target entry/exit road in the target road P located on the same line as the installation position of the second entity detection unit is two, there are 2 lanes on the side of the body of the second entity detection unit. As the distance sensing sensors, a first distance sensing sensor and a second distance sensing sensor may be provided. In this case, for example, the first distance sensor detects information about a vehicle passing through a location on the second lane in the target road P located on the same line as the installation location of the second object detection unit, for example. (sensing) is possible. The second distance sensor may detect, for example, information about a vehicle passing through a location on a third lane within a target road P positioned on the same line with the installation location of the second object detecting unit as an example.

This device 100 provides a number of distance detection sensors in one object detection unit in a number corresponding to the number of lanes of the target entrance and exit paths located on the same line as the location in which the one object detection unit is installed. , it is possible to collect vehicle data (ie, fourth type vehicle data) of moving vehicles for each of the number of lanes of the corresponding target access road.

As an example, in a road such as a highway on which a vehicle moves, ramp lanes (that is, lanes provided for entering and leaving the target entrance and exit lanes, entry and exit lanes) are generally about one to three on the edge (most right) of the road. There are features that are provided at the level of In consideration of this point, the object detecting unit may be installed at the edge of the target road P at the roadside.

At this time, since the detection line has to be installed to be embedded in the ground of the road, there is a disadvantage in that complicated construction and installation work such as traffic control is required for the installation (burial) of the detection line. On the other hand, in the present device 100, a plurality of object detection units are installed on the roadside for collection (acquisition) of the fourth type vehicle data. , it is possible to effectively collect (obtain) vehicle data about vehicles moving on the target road P, particularly on the target entry/exit road, while solving the disadvantage of requiring installation work.

In other words, the device 100 allows the object to face the transverse direction in the form of a post (pillar) on the roadside, even if it does not perform complicated construction and installation work such as traffic control, which was performed for embedding (installation) of the detection line on the road surface itself. By disposing various sensors (eg, distance sensing sensors) that detect (eg, a vehicle) (that is, by disposing and installing an object detection unit including such a distance sensing sensor), vehicle data of a moving vehicle can be collected (acquired). can

At this time, the object detection unit is provided with distance sensing sensors corresponding to the number of lanes of the target entry/exit road, so that the apparatus 100 simply detects the presence or absence of a vehicle on the lane of the corresponding entry/exit road through the object detection unit. Instead of the ON/OFF detection method, a preset distance (for example, a distance corresponding to the number of lanes of the target entry/exit road) can be detected (that is, a vehicle of a vehicle moving within an area corresponding to the preset distance) data can be detected).

The apparatus 100 arranges a plurality of object detection units at intervals along the longitudinal direction of the roadside of the target entry/exit path P1, and the vehicle is stopped toward the target entry/exit path P1 by using the plurality of entity detection units. It is possible to calculate the length of the congestion section (r1) of .

At this time, as an example of the plurality of object detection units, the first object detection unit will be installed on the roadside corresponding to the first point on the lane extending in the target entrance/exit path P1 (eg, the third lane on the road as shown in FIG. 3 ). can Here, the first point is, for example, a point at which complete entry into the target entry/exit road P1 is completed. For example, based on the drawing of FIG. 3, the target entry/exit road P1 in which the vehicle located in the second lane is no longer a 3-lane vehicle. It may mean a point where it cannot intervene in the lane path of This first point may mean, for example, a point on the side of a road located on the same line as the first vehicle 1 .

Meanwhile, the second object detection unit among the plurality of object detection units may be installed at a second point that is 20 m away from the location where the first object detection unit is installed along the roadside. In this case, for example, the second point may mean a point at which a congestion section is expected to be gradually formed. The location of the second point may be variously set/changed by the user, for example.

At this time, the above-described vehicle information detected (sensed) by a plurality of object detection units is calculated using the aforementioned deep learning model as an example, or calculating the length of the congestion section (r1) or the change (trend) of the length of the congestion section (r1). ) can be learned to predict. In this case, learning in the deep learning model may be performed based on, for example, a cycle of detecting a vehicle, but is not limited thereto.

According to this, as described above, the apparatus 100 uses at least one of a plurality of vehicle detection sensors 11, 12, 13, 14, ..., a plurality of image sensors, a measurement sensor, and a plurality of object detection units. Vehicle data can be collected. In this case, the sensor configuration (ie, vehicle detection sensor, image sensor, measurement sensor, object detection unit) for the collection of vehicle data considered in the device 100 may be operated based on, for example, low-power communication and low-power sensing. .

In addition, the device 100 calculates and provides the length of the congested section using the providing unit 120 , and generates navigation guide information in consideration of the length of the congested section using the guide information providing unit 130 , r1 . The length of the congestion section length r1 can be predicted using the prediction unit 140 to update the congestion section length r1 based on this. The device 100 calculates in real time the length of the congestion section (congestion section length, r1) that is congested in the target entry/exit road P1 more accurately in real time when the vehicle wants to enter and exit the target entry/exit road P1. It is possible to provide navigation guidance information based on the

This device 100 can help the vehicle that is scheduled to enter and exit the target entrance and exit P1 to change lanes in advance. (Sorry to the owner who is stuck behind the point where he wants to intervene) can be prevented in advance.

In addition, as an example, according to the conventional 'Smart Citizen Report' application, when a specific user intervenes between the congested sections of the entry/exit road, other users (users who have installed the smart national information application on the user terminal) are intervened. If you take a picture of what you're doing and report it, the vehicle that broke in would pay a fine for negligence. Considering this point, the present device 100 can be effectively helpful in preventing (preventing) legal sanctions related to interference or in resolving traffic congestion in the target entrance and exit.

Herein, the target entry/exit path P1 may be referred to as a target ramp entry/exit path or the like.

As described above, the apparatus 100 uses various vehicle positioning technologies (for example, vehicle positioning technology using at least one of a vehicle detection sensor, an image sensor, a measurement sensor, and an object detection unit) to enter and exit the ramp (that is, , target entry/exit) after predicting the traffic congestion situation, in the case of congestion, inform the driver of the length of the congested section (r1) and induce them to change lanes in advance, resulting in late interruption or failure to enter the entrance/exit road It can be prevented in advance.

The device 100 may target, for example, a device to which a driver can receive a navigation service or real-time traffic information. That is, the present device 100 is a device capable of receiving a navigation service or real-time traffic information, for example, targeting a navigation device, a user terminal, etc. can provide

In order to predict the congestion situation and the length of the congestion section (r1) of the ramp entry/exit road (target entry/exit road, P1), the device 100 includes the detection lines 11, 12, 13, 14, ...) on the road, the camera image sensor Various vehicle location measurement technologies including (the above-described image sensor) or GPS (eg, the self-provided measurement sensor in the vehicle described above) may be utilized. The present apparatus 100 may predict the length r1 of the current congestion section and inform the driver to induce a lane change in advance.

The device 100 is a detection line capable of detecting vehicle data including the position and speed of the vehicle on the road of the target entrance and exit P1 in order to predict the length r1 of the congestion section of the ramp, A simple sensor device such as an object detection unit may be installed, or GPS location information may be received and collected from each vehicle.

Also, the apparatus 100 may calculate the length of the congestion section r1 of the target entry/exit road P1 through analysis of the collected vehicle data. The device 100 is, for example, a navigation device or other similar device (eg, a user terminal) being used by a driver of a vehicle based on the calculated length of the congestion section (r1), and information on the length of the congestion section (r1) and/ Alternatively, information about the lane changeable distance r2 (ie, lane changeable maximum distance information) may be provided (transmitted). Also, the device 100 may generate and provide navigation guide information including information on the length of the congested section r1 and/or information on the lane changeable distance r2.

6 is a diagram schematically illustrating a configuration of a vehicle entry/exit congestion section length notification system including the vehicle entry/exit road congestion section length notification device 100 according to an embodiment of the present application. Hereinafter, for convenience of explanation, the system for notifying the length of the congested section of the vehicle entrance/exit road will be referred to as the present system.

Referring to FIG. 6 , the present system may include, for example, a vehicle detection system, a road information provider, a navigation service provider, and a user terminal receiving a navigation service. Here, the road information provider may refer to the present device 100 as an example.

The vehicle detection system, the road information provider, the navigation service provider, and the user terminal may be connected to each other through a network to transmit and receive data. Since the example of the network has been described above, a redundant description will be omitted below.

Vehicle detection systems may include road buried detection lines, image sensors, and communication equipment. Here, the road buried detection line may mean the above-described plurality of vehicle detection sensors (a plurality of detection lines and detection lines), and the image sensor may mean the above-described image sensor. In addition, the vehicle detection system may include the above-described measurement sensor and object detection unit.

The device 100 as a road information provider may collect (obtain) vehicle data of a vehicle moving on the target road P from the vehicle detection system. The device 100 may calculate (calculate) and provide the length of the congestion section r1 by analyzing the collected vehicle data. The apparatus 100 may include a database, and this database may include the above-described my vehicle data DB (not shown). In the database in the device 100 , a plurality of vehicle data collected by the collection unit 110 and information regarding the congestion section length r1 calculated by the calculation unit 120 may be stored. The present invention is not limited thereto, and various data considered by the apparatus 100 may be stored in the database within the apparatus 100 .

For example, when the length of the congestion section r1 is calculated, the device 100 may provide (transfer) it to the navigation service provider connected to the device 100 through a network. Here, the navigation service provider may refer to the above-described navigation server by way of example.

For example, the navigation service provider generates navigation guide information in consideration of the length of the congestion section (r1) based on the length of the congestion section (r1) provided from the device 100, and network the generated navigation guide information to the user terminal. It can be provided (delivered) through Navigation guide information provided from a navigation service provider (ie, a navigation server) may be displayed on the screen of the user terminal.

However, the present invention is not limited thereto, and as another example, the device 100 generates navigation guide information in consideration of the length of the congestion section (r1) based on the calculated length of the congestion section (r1), and the generated navigation guide information may be directly provided (delivered) to a user terminal through a network without going through a navigation service provider. Navigation guide information provided from the device 100 may be displayed on the screen of the user terminal. Here, the user terminal may mean a terminal owned by a driver (user) of the vehicle.

The apparatus 100 may predict the congestion situation of the ramp entry/exit road (target entry/exit road, P1) by using various vehicle positioning techniques, and then calculate the length of the congestion section r1 in the congestion situation.

The device 100 may inform a navigation system (ie, a navigation service provider, a navigation server) of the length of the congested section r1, for example, and the navigation system may change the lane to the driver of the vehicle to enter the entry/exit road. By indicating the distance in advance, it can help prevent the driver from cutting in late or being unable to enter the ramp.

In addition, the apparatus 100 accumulates data predicting the length of the congestion section (r1) of the ramp entry/exit road (target entry/exit road, P1), and by learning a deep learning model as an example based on the accumulated data, the habitual congestion section and length information can be acquired (acquired). By using such information, the present device 100 can effectively help improve the road environment and traffic network.

In the event that vehicles are lined up due to congestion on the ramp entrance/exit road (target entry/exit road, P1) in an expressway or arterial road, the target entry/exit road is provided for smoother entry and exit for drivers of vehicles scheduled to enter/exit the target entry/exit road (P1). Predict the length of the congested section (r1) so that the driver of the following vehicle (for example, the driver of the vehicle for entry/exit reservation) who intends to proceed to (P1) can change the lane in advance, and based on this, predict the length of the congested section (r2) It is necessary to calculate and inform in advance.

In FIG. 3, the fourth vehicle 4, which is an illustratively subsequent vehicle, in order to enter and exit the target entry/exit road (P1, ramp entry/exit road), the lane of the target entry/exit road (P1) on the two-lane road of the main line (P2) That is, it can be confirmed that the user intends to enter the ramp). At this time, it can be confirmed that a congestion section exists due to vehicle congestion occurring in the target entrance/exit road P1.

At this time, the fourth vehicle 4 , which is the subsequent vehicle, is, for example, a point where the congestion section P1 starts from the current location (the current location on the road) of the fourth vehicle 4 (ie, the second vehicle which is the terminal congestion vehicle). In the section up to the location of (2)), you must change the lane in advance to enter and exit the target access road P1 without excessive interruption. At this time, in FIG. 3 , a lane changeable section allowing the fourth vehicle 4 , which is a subsequent vehicle, to enter and exit the target entry/exit road P1 without excessive interference, is indicated by a blue arrow.

The device 100 may generate navigation guide information including information on the lane changeable distance r2, which is the maximum length of the lane changeable section, and the congestion section length r1, and provide it to a user of a subsequent vehicle. .

There may be various methods for calculating (predicting) the length of the congestion section r1 in the apparatus 100 . One of the methods is to embed (install) a vehicle detection line on the road by a certain distance centered on the target entrance and exit (P1, ramp entrance), that is, a plurality of vehicle detection sensors 11 as shown in FIG. , 12, 13, 14, . can be calculated. Also, the apparatus 100 may predict the traffic condition of the target entry/exit road P1 including the length of the congested section r1 by using the vehicle data.

The plurality of vehicle detection sensors 11, 12, 13, 14, ... in the present device 100 is a vehicle detection line, for example, a detection line generally used for speed control in the prior art or the like may be applied. . The apparatus 100 may determine not only the congestion situation of the ramp entry/exit road (target entry/exit road) but also the length of the congestion section through such a detection line.

In addition, the apparatus 100 may directly predict the length of the congestion section by using an image sensor in addition to the method through the detection line. The apparatus 100 may predict the length of a congestion section by using an image analysis system by installing an image sensor including a camera. In the present device 100 , the image sensor may be referred to as a camera, a vehicle detector, an image sensor, or the like.

Information collected through the vehicle detection system, that is, information collected using a detection line or an image sensor, etc. may be transmitted to the road information provider (ie, the device 100) through a communication network (network). The road information provider refers to the device 100 and may be referred to as a central information system differently. The road information provider can predict the length of the congestion section by analyzing the information (collected information) transmitted through the communication network. Information on the length of the congestion section r1 predicted (calculated) by the device 100 may be provided through a communication network so that each navigation service provider can use it in real time.

The navigation system of the driver who wants to enter the ramp (for example, the user terminal of the driver of the vehicle scheduled to enter or exit or the driver's navigation device) sees the information of the length of the congestion section predicted (calculated) by the device 100 . It may be transmitted from the network (eg, wireless communication) from 100 .

6 shows a schematic diagram of the entire system including the apparatus 100 . The road information provider may receive information on traffic conditions (ie, vehicle data) from an image sensor including a detection line or a camera installed on the road through a communication network. Thereafter, the device 100 may use the received information (vehicle data) to calculate the length r1 of the congestion section of the ramp entrance and exit, and then transmit it to the navigation service provider through the communication network. A navigation service provider may provide navigation guidance information including a lane changeable distance to a vehicle driver attempting to enter the ramp.

In the present device 100, the vehicle detection line for measuring the vehicle position and speed in the vicinity of the ramp may use a detection line commonly used for speed control or the like. Through such a detection line, the apparatus 100 may determine not only the congestion situation of the ramp entrance and exit, but also the length of the congestion section.

In addition to the above method through the detection line, the apparatus 100 may directly predict the length of the congestion section by using an image sensor. The apparatus 100 may predict the length of a congestion section by using an image analysis system by installing an image sensor including a camera.

The length information of the congestion section predicted (calculated) by the device 100 may be provided through a communication network so that each navigation service provider can use it in real time.

The navigation system of the driver who wants to enter the ramp receives the length of the congested section predicted by the method described above from the navigation service provider through wireless communication. The navigation system may calculate the difference between the distance from the current driver's vehicle position to the entrance of the ramp and the length of the congested section to obtain the maximum possible lane change distance and provide information to the driver.

For example, if there is no congestion, the navigation system receives from the device 100 that the length of the congestion section is zero, and the navigation system can change the current vehicle location and the distance from the entrance to the entrance to the lane. By calculating the distance, information can be provided to the driver.

The present apparatus 100 proposes a technology capable of predicting the congestion situation and the length of the congestion section of the ramp entrance and exit of an expressway or an arterial road.

The apparatus 100 may inform the driver who will enter the ramp entrance and exit the maximum distance that can be changed in the future so as not to interfere excessively.

Many vehicle drivers often enter the ramp led by the navigation system on expressways and arterial roads and cannot get out of the main road. In particular, if you fail to change lanes to enter the ramp in advance in a section where a large number of vehicles are congested for a long time in order to get out of the entrance, you have to change lanes by cutting in between the vehicles that are late, or drive to the next entrance. It often happens that you have to come back after doing it. The present application intends to solve the problem of the conventional simple ramp entry/exit route guidance service by providing the apparatus 100 .

After predicting the congestion situation of the ramp entry/exit road by using various vehicle positioning technologies, the apparatus 100 may induce the driver to change the lane in advance by notifying the driver of the length of the congested section in the congestion situation.

The device 100 predicts the congestion situation of the ramp entrance and exit by using various vehicle positioning technologies, and then informs the navigation system of the length of the congested section in the case of congestion, and the navigation system selects a lane for the driver to enter the entrance and exit. By notifying the changeable distance in advance, it is possible to prevent a situation in which the driver cuts in late or is unable to enter the ramp.

Hereinafter, an operation flow of the present application will be briefly reviewed based on the details described above.

7 is an operation flowchart for a method for notifying a length of a congested section of a vehicle entrance/exit road according to an embodiment of the present application.

The method of notifying the length of the congested section of the vehicle access road shown in FIG. 7 may be performed by the apparatus 100 described above. Therefore, even if omitted below, the description of the apparatus 100 may be equally applied to the description of the method of notifying the length of the vehicle entry/exit road congestion section.

Referring to FIG. 7 , in step S11, the collecting unit may collect vehicle data regarding a plurality of vehicles moving on the target road including the target entry/exit road and the main line, which are the target of determining the length of the congested section.

In this case, the vehicle data may be data related to at least one of a location and a speed of the vehicle on the road.

Next, in step S12, the providing unit may calculate and provide the length of the congestion section of the target entry/exit road in consideration of the collected vehicle data.

Also, in step S11 , the vehicle data may include first type vehicle data measured by a plurality of vehicle detection sensors installed at intervals on the road surface of the target entry/exit road. At this time, in step S12, the providing unit considers whether the first type vehicle data is measured by the separation distance between the installation position of each of the plurality of vehicle detection sensors and the entrance position of the target entrance and exit, and the plurality of vehicle detection sensors Thus, the length of the congestion section can be calculated.

In addition, the vehicle data in step S11 includes second type vehicle data obtained by image analysis of a captured image including each of a plurality of points on the target entrance and exit taken by a plurality of image sensors installed at intervals on the target road. can do. At this time, in step S12, if there is abnormal detection vehicle data among the collected vehicle data, the distance from the entrance position of the target entrance and exit road to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data is determined in the congestion section length can be calculated.

In addition, in step S12, if a plurality of the abnormal detection vehicle data exists, the corresponding vehicle on the road located at the furthest distance from the entrance position among the corresponding vehicles on the road corresponding to each of the plurality of abnormal detection vehicle data is provided. The length of the congestion section may be calculated based on the distance to the location.

In this case, the abnormal detection vehicle data may be data in which at least one of a change amount of a vehicle position on a road and a change amount of a speed in an image identified based on image analysis of the captured image is less than a threshold change amount.

In addition, in step S11, the vehicle data may include third type vehicle data measured by a measurement sensor provided in each of the plurality of on-road vehicles. At this time, in step S12, if there is abnormal detection vehicle data among the collected vehicle data, the distance from the entrance position of the target entrance and exit road to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data is determined in the congestion section length can be calculated.

Next, in step S13, the guide information providing unit may generate and provide navigation guide information in consideration of the length of the congestion section calculated in step S12. At this time, in step S13, based on the position of the terminal congestion vehicle among the congestion vehicles on the congestion path corresponding to the length of the congestion section, it is located behind the position of the terminal congestion vehicle among the plurality of vehicles on the road, but the target entrance and exit Navigation guidance information in consideration of the lane changeable distance may be provided for each of the vehicles scheduled to enter and exit the road.

In addition, the lane changeable distance may include at least one of a separation distance from the location of the terminal congestion vehicle to each of the vehicles scheduled to enter and exit and lane location information of each of the vehicles scheduled to enter and exit on the target road in consideration of the entry and exit It may be calculated differently for each of the planned vehicles.

In addition, in step S13, it is determined that there is a vehicle related to traffic jam that is erroneously stopped among the vehicles related to congestion including the vehicle that is scheduled to enter and exit the vehicle and is stopped by extending to the rear of the terminal vehicle. In this case, it is possible to generate and provide navigation guidance information in consideration of a migratory route for guiding the real traffic jam-related vehicle to deviate from the extended congestion route corresponding to the congestion-related vehicles.

Next, in step S14, the prediction unit may predict a change in the length of the length of the congestion section in consideration of real-time vehicle data collected from each of the vehicles scheduled to enter and exit. In this case, in step S12, the calculated length of the congestion section may be updated in consideration of the predicted change in length.

In addition, the vehicle data in step S11 may include fourth type vehicle data measured by a plurality of object detection units installed in the form of posts at intervals on the roadside corresponding to the target entry/exit road. Here, any one of the plurality of object detection units may include a distance sensor provided on a side surface of the body. Also, the distance sensor may be provided in a number corresponding to the number of lanes of the target entry/exit road within the target road based on the installation position of the one object detection unit.

In addition, the number of installation of the plurality of object detection units may be less than the number of installation of the plurality of vehicle detection sensors.

In the above description, steps S11 to S14 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present application. In addition, some steps may be omitted if necessary, and the order between steps may be changed.

The method for notifying the length of the vehicle entry/exit congestion section according to an embodiment of the present application may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described method for notifying the length of the congested section of the vehicle entry/exit road may be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The above description of the present application is for illustration, and those of ordinary skill in the art to which the present application pertains will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present application.

100: vehicle access road congestion section length notification device
110: collection unit
120: provider
130: information providing unit
140: prediction unit

Claims (16)

As a method of notifying the length of the congested section of the vehicle access road,
(a) collecting vehicle data on a plurality of vehicles on the road moving on the target road including the target entry/exit road and the main line, which are the target for determining the length of the congested section; and
(b) calculating and providing the length of the congestion section of the target entry/exit road in consideration of the collected vehicle data,
In step (a), the vehicle data is data related to at least one of a location and a speed of the vehicle on the road, the vehicle entry/exit congestion section length notification method. According to claim 1,
In the step (a), the vehicle data includes first type vehicle data measured by a plurality of vehicle detection sensors installed at intervals on the road surface of the target entry/exit road,
In step (b), the separation distance between the installation position of each of the plurality of vehicle detection sensors and the entrance position of the target entrance and exit, and whether the first type vehicle data is measured by the plurality of vehicle detection sensors The method of calculating the length of the congested section, the length of the vehicle entrance and exit congested section. According to claim 1,
In step (a), the vehicle data is a second type vehicle data obtained by image analysis of a captured image including each of a plurality of points on a target entry and exit path photographed by a plurality of image sensors installed at intervals on the target road. including,
In the step (b), if there is anomaly detection vehicle data among the collected vehicle data, the distance from the entrance position of the target entry/exit road to the position of the corresponding vehicle on the road corresponding to the abnormality detection vehicle data is determined as the traffic jam A method of notifying the length of the congested section of the vehicle access road, which is calculated by the section length. 4. The method of claim 3,
The step (b) is,
When there is a plurality of the abnormality detection vehicle data, the distance to the position of the corresponding vehicle on the road that is the furthest from the entrance position among the corresponding vehicles on the road corresponding to each of the plurality of abnormal detection vehicle data is the distance Calculating the length of the congested section, a method of notifying the length of the congested section of the vehicle entrance and exit. 4. The method of claim 3,
The abnormal detection vehicle data is data in which at least one of a change amount of a vehicle position on a road and a change amount of a speed on the road in an image identified based on image analysis of the captured image is data belonging to less than a threshold change amount. Length notification method. According to claim 1,
In the step (a), the vehicle data includes third type vehicle data measured by a measurement sensor provided in each of the plurality of on-road vehicles,
In the step (b), if there is anomaly detection vehicle data among the collected vehicle data, the distance from the entrance position of the target entry/exit road to the position of the corresponding vehicle on the road corresponding to the abnormality detection vehicle data is determined as the traffic jam A method of notifying the length of the congested section of the vehicle access road, which is calculated by the section length. According to claim 1,
(c) generating and providing navigation guide information in consideration of the length of the congestion section calculated in step (b);
In step (c), based on the position of the terminal congestion vehicle among the congestion vehicles on the congestion path corresponding to the length of the congestion section, the position of the terminal congestion vehicle among the plurality of vehicles on the road is located behind the position, A method of notifying the length of a congested section of a vehicle access road, which provides navigation guidance information in consideration of the lane changeable distance by targeting each of the vehicles scheduled to enter and exit the target entrance and exit. 8. The method of claim 7,
In step (c), the lane changeable distance is,
In consideration of at least one of a separation distance from the location of the terminal congestion vehicle to each of the vehicles scheduled to enter and exit, and lane location information of each of the vehicles scheduled to enter and exit on the target road, each of the vehicles scheduled to enter and exit differently A method of notifying the length of the congested section of the vehicle entrance and exit that is calculated. As a vehicle entry/exit congestion section length notification device,
a collection unit that collects vehicle data on a plurality of vehicles moving on a target road including a target entry/exit road and a main line, which is a target for determining the length of a congested section; and
and a providing unit that calculates and provides the length of the congestion section of the target entrance and exit in consideration of the collected vehicle data,
Wherein the vehicle data is data related to at least one of a location and a speed of the vehicle on the road, the vehicle entry/exit road congestion section length notification device. According to claim 1,
The vehicle data includes first type vehicle data measured by a plurality of vehicle detection sensors installed at intervals on the road surface of the target entrance and exit,
The providing unit may include a distance between an installation position of each of the plurality of vehicle detection sensors and an entrance position of the target entrance and exit, and whether the first type vehicle data is measured by the plurality of vehicle detection sensors, the congestion section Calculating the length, vehicle entrance and exit congestion section length notification device. According to claim 1,
The vehicle data includes second type vehicle data obtained by image analysis of a captured image including each of a plurality of points on a target entry/exit road taken by a plurality of image sensors installed at intervals on the target road,
The providing unit may include, when there is abnormal detection vehicle data among the collected vehicle data, a distance from the entrance position of the target entrance/exit road to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data as the length of the congestion section Calculating the length of the vehicle entrance and exit congestion section length notification device. 4. The method of claim 3,
The providing unit,
When there is a plurality of the abnormality detection vehicle data, the distance to the position of the corresponding vehicle on the road that is the furthest from the entrance position among the corresponding vehicles on the road corresponding to each of the plurality of abnormal detection vehicle data is the distance Calculating the length of the congested section, the vehicle entrance and exit congested section length notification device. 4. The method of claim 3,
The abnormal detection vehicle data is data in which at least one of a change amount of a vehicle position on a road and a change amount of a speed on the road in an image identified based on image analysis of the captured image is data belonging to less than a threshold change amount. length notification device. According to claim 1,
The vehicle data includes third type vehicle data measured by a measurement sensor provided in each of the plurality of on-road vehicles,
The providing unit may include, when there is abnormal detection vehicle data among the collected vehicle data, a distance from the entrance position of the target entrance/exit road to the position of the corresponding vehicle on the road corresponding to the abnormal detection vehicle data as the length of the congestion section Calculating the length of the vehicle entrance and exit congestion section length notification device. According to claim 1,
Further comprising a guide information providing unit for generating and providing navigation guide information in consideration of the calculated length of the congestion section,
The guide information providing unit is located behind the position of the terminal congestion vehicle among the plurality of vehicles on the road based on the position of the terminal congestion vehicle among the congestion vehicles on the congestion path corresponding to the length of the congestion section, but the target A device for notifying the length of a congested section of a vehicle entry/exit route, which provides navigation guidance information in consideration of the lane changeable distance for each of the vehicles scheduled to enter and exit the entrance/exit road. 8. The method of claim 7,
The lane changeable distance may include at least one of a separation distance from the location of the terminal congestion vehicle to each of the vehicles scheduled to enter and exit and lane location information of each of the vehicles scheduled to enter and exit on the target road in consideration of at least one, and the entry/exit scheduled vehicle , which is calculated differently for each of them, the vehicle entry and exit road congestion section length notification device.

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