KR20240036279A - Method for providing transport information and system for the same - Google Patents

Abstract

The intelligent road device according to the present invention includes an input-output interface unit that receives road traffic status information, a situation recognition unit that recognizes the road traffic situation based on the road traffic status information received from the input-output interface unit and generates road traffic situation information, and It includes a control unit, a V2X communication processing unit that receives V2X (vehicle-to-everything) information from outside the vehicle, and a communication unit that transmits at least one of the road traffic status information and road traffic situation information to a cloud control center, and the V2X communication processing unit The road traffic situation information is transmitted to surrounding vehicles that are driving.

Description

Method and system for providing traffic information {METHOD FOR PROVIDING TRANSPORT INFORMATION AND SYSTEM FOR THE SAME}

The present invention relates to a method and system for providing traffic information, and more specifically, to a method and system for providing traffic information using intelligent road devices.

An intelligent traffic information provision system is being developed that collects information such as road traffic conditions and accident occurrences and provides related information to drivers while driving. The information collected from the intelligent traffic information provision system is basic data that can recognize the flow of road traffic in real time, and supports data management of habitually congested sections, sections with frequent accidents, and the number and speed of vehicles running. do.

In a conventional intelligent traffic information provision system, information such as road traffic conditions and accident occurrences collected from cameras and/or radars installed on roads or vehicles is transmitted to the management server of the intelligent traffic information provision system, and the management server analyzes it. Information on road traffic conditions or possible risk of traffic accidents obtained through this process is provided to vehicles on the road through information provision devices installed on the road. Therefore, since the traffic information provision service through the existing intelligent traffic information provision system does not analyze images directly at the site of road traffic-related information collection, it is not only difficult to provide real-time traffic information service for each point and section of the road, but it is also applied every day. There is a problem in that it is difficult to immediately utilize various road traffic-related data collected from this expanding cloud system.

The purpose of the present invention to solve the above problems is to provide a method and system for providing road traffic-related information by collecting and analyzing traffic information using an intelligent road unit (IRU) placed on road elements. It is to provide.

The object of the present invention is not limited to the object mentioned above, and other objects not mentioned will be clearly understood by those skilled in the art from the description below.

In order to achieve the above object, an intelligent road device according to an embodiment of the present invention includes an input/output interface unit that receives road traffic status information, and recognizes the road traffic situation based on the road traffic status information received from the input/output interface unit. A situation awareness and control unit that generates road traffic situation information, a V2X communication processing unit that receives V2X (vehicle-to-everything) related information from outside the vehicle, and at least one of the road traffic status information and road traffic situation information to external road traffic It includes a communication unit that transmits to the control server.

According to the present invention, traffic information for specific points on the road, traffic information for road sections, and global traffic information based on big data analysis are generated using one or more intelligent road devices installed on the road and a cloud-based control center, and these are used by drivers. It can prevent traffic accidents and ensure smooth traffic flow.

1 is a conceptual diagram showing an intelligent traffic information providing system according to an embodiment of the present invention.
Figure 2 is a configuration diagram of an intelligent road device in an intelligent traffic information providing system according to an embodiment of the present invention.
Figure 3 is a conceptual diagram showing traffic object information of an intelligent road device according to an embodiment of the present invention.
Figure 4 is a flowchart showing a method of determining traffic flow by an intelligent road device according to an embodiment of the present invention.
Figure 5 is a flowchart showing a method of determining whether an intelligent road device has a stopped vehicle according to an embodiment of the present invention.
Figure 6 is a flowchart showing a method of determining the presence or absence of a fallen object in an intelligent road device according to an embodiment of the present invention.
Figure 7 is a flowchart showing a method of determining the presence or absence of a reverse vehicle by an intelligent road device according to an embodiment of the present invention.
Figure 8 is a flowchart showing a pedestrian warning determination by an intelligent road device according to an embodiment of the present invention.
Figure 9 is a flowchart showing a method of calculating section speed of an intelligent road device according to an embodiment of the present invention.
Figure 10 is a flowchart showing a method of calculating section speed of an intelligent road device according to another embodiment of the present invention.
Figure 11 is a flowchart showing a method of calculating an optimal path of a cloud control center according to an embodiment of the present invention.
Figure 12 is a flowchart showing a method of deriving an optimal signal system for a cloud control center according to an embodiment of the present invention.
Figure 13 is a flowchart showing a method of providing intelligent traffic information according to an embodiment of the present invention.

Since the present invention can be modified in various ways and can have various embodiments, some embodiments will be illustrated in the drawings and described in detail. However, this is not intended to limit the present invention to specific embodiments, and the scope of the present invention should be understood to include all changes, modifications, equivalents, or substitutes falling within the technical spirit of the present invention related to the embodiments. do.

Terms such as first, second, etc. may be used to describe various components, but the components should not be limited by the terms. The above terms are used only for the purpose of distinguishing one component from another. The term and/or includes any of a plurality of related stated items or a combination of a plurality of related stated items.

When a component is said to be "connected" or "connected" to another component, it is understood that it may be directly connected to or connected to the other component, but that other components may exist in between. It should be. Only when a component is said to be "directly connected" or "directly connected" to another component should it be understood that there are no other components in between.

The terms used in this application are merely used to describe the presented embodiments and are not intended to limit the present invention. Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as “comprise” or “have” are intended to designate the presence of features, numbers, steps, operations, components, parts, or combinations thereof described in the specification, but are not intended to indicate the presence of other features, numbers, or steps. , it should be understood that this does not exclude in advance the possibility of the presence or addition of operations, components, parts, or combinations thereof.

As used in this application, “the” and similar indicators may indicate both singular and plural numbers. Additionally, unless there is a description clearly designating the order of steps describing the method according to the present disclosure, the steps described may be performed in any order to perform the intended purpose. The present disclosure is not limited by the order of description of the steps described.

All terms used in this specification, including technical or scientific terms, have the same meaning as generally understood by a person of ordinary skill in the technical field to which the present invention pertains, and are not idealized or excessively reduced formal terms. It should not be interpreted as meaning, and when the meaning of a term is defined in this specification, the term should be interpreted as defined.

Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the attached drawings. In order to facilitate overall understanding when describing the present invention, the same reference numerals are used for the same components in the drawings, and duplicate descriptions for the same components are omitted.

According to the present invention, by using one or more intelligent road devices installed on the road and a cloud-based control center, road traffic situation information at a specific point on the road, road traffic situation information of a road section, and global road traffic situation based on big data analysis By generating information and providing drivers with optimal information for using road traffic, traffic accidents can be prevented and road traffic can flow smoothly.

1 is a conceptual diagram showing an intelligent traffic information providing system according to an embodiment of the present invention.

Referring to FIG. 1, the intelligent traffic information providing system 100 according to an embodiment of the present invention includes one or more intelligent road devices 200-1 and 200-2 and a cloud-based road traffic control center 300 (hereinafter referred to as A cloud control center (or cloud control server) is used to generate traffic information for specific points on the road, traffic information for road sections, and optimal traffic information analyzed through big data to provide to drivers.

The intelligent road devices (200-1, 200-2) of the intelligent traffic information provision system of the present invention include cameras installed on the road (meaning cameras that capture images of the road and/or surrounding roads, such as CCTV cameras), radar ( Radar), road traffic-related information (hereinafter referred to as road traffic status information / road traffic status information refers to unprocessed raw data used for road traffic situation analysis) is received from a signal controller 260 such as a traffic light, and road traffic It is an edge terminal that recognizes the situation.

Conventional camera-based road traffic-related information collection methods may have performance deterioration due to being greatly affected by camera resolution, weather, day and night, etc., so the intelligent road device (200-1,200-2) of the present invention is not subject to such limitations. Road traffic-related information can be collected using the radar method.

The intelligent road unit (IRU) of the present invention is an input/output interface that receives road traffic status information as shown in the intelligent road unit 200 of the traffic information providing system according to an embodiment of the present invention in FIG. 2. Unit 220, a situation recognition and control unit 210 that recognizes the road traffic situation based on the road traffic status information received from the input/output interface unit 220 and generates road traffic situation information, a V2X information providing object outside the vehicle ( It includes a V2X communication processing unit 230 that receives V2X (vehicle-to-everything) information from 250) and a communication unit 240 that transmits at least one of road traffic status information and road traffic situation information to the cloud control center 300. do.

Road traffic situation information is road traffic situation information at the point where the intelligent road device 200 is installed, including information that detects, tracks, and identifies traffic objects such as vehicles, traffic flow information such as traffic jams, and recognition of unexpected situations such as traffic accidents. Information, real-time signal information from the signal controller, and customized point information related to the operation of autonomous vehicles (for example, falling rock information, etc.). In other words, the intelligent road device 200 of the present invention detects, tracks, and identifies traffic objects on the current road based on raw data such as road traffic status information, traffic flow, occurrence of unexpected situations, and road traffic such as real-time signals from signal controllers. It recognizes the situation and generates road traffic situation information as a result.

The input/output interface unit 220 of the present invention collects road traffic status information from radars, cameras, and signal controllers 260 installed on the road.

The situation awareness and control unit 210 of the present invention analyzes road traffic status information received through the input/output interface unit 220 and provides road traffic situation information at the point where the intelligent road device 200 is installed (this is referred to as point road traffic situation information). ) is created. The situation awareness and control unit 210 can transmit the generated road traffic situation information to the V2X communication processing unit 230.

V2X (Vehicle to Everything) is a technology in which a vehicle receives, exchanges, and shares information with V2X information-providing objects (250) such as surrounding vehicles and road infrastructure using wired and wireless communication networks, and is a vehicle according to the type of information-providing object. and vehicle-to-vehicle (V2V, Vehicle to Vehicle), vehicle to infrastructure (V2I, Vehicle to Infrastructure), vehicle to pedestrian (V2P, Vehicle to Pedestrian), and vehicle to mobile device (V2N, Vehicle to Nomadic Device) communication. do. V2X communication technology is a core technology for implementing level 4 or higher fully autonomous driving, and using it, autonomous vehicles can recognize the surrounding environment even in situations where it is difficult to recognize the surrounding situation.

The V2X communication processing unit 230 of the present invention provides V2X information, which is information about traffic flow, received from the V2X information providing object 250 through V2V, V2I, V2P, and V2N methods, and road traffic situation information such as road hazard situations (this V2X road traffic situation information) can be provided to nearby driving vehicles 270 (referred to as nearby driving vehicles) and/or V2X information providing objects 250.

The communication unit 240 of the present invention can transmit road traffic situation information at the point of the intelligent road device 200, road traffic situation information for a section to be described later, and V2X road traffic situation information to the cloud control center 300. The communication unit 240 of the present invention provides point road traffic situation information, section road traffic situation information to be described later, and V2X road traffic situation information to nearby driving vehicles 270 (referred to as nearby driving vehicles) and/or V2X information. It can be provided to the object 250.

The intelligent road device 200 of the present invention can be installed at intervals on the road as shown in FIG. 1, and provides road section traffic information, recognized unexpected situation information up and down the road, and information on unexpected situations up and down the road through the edge collaboration protocol between adjacent intelligent road devices. Road traffic situation information (this is called section road traffic situation information) can be generated, including detailed section information related to the operation of autonomous vehicles (for example, congestion in a specific section and accident occurrence/route detour). .

Road traffic situation information (point road traffic situation information, section road traffic situation information, V2X road traffic situation information) collected from the intelligent road device (200) is transmitted to the cloud control center (300). By analyzing this based on big data, global road traffic situation information, which is information about the optimal route and optimal signal system, can be generated.

The intelligent road device 200 of the present invention generates point road traffic situation information based on the traffic object information in FIG. 3. When generating point road traffic situation information, the intelligent road device 200 detects, tracks, and identifies traffic objects. Traffic objects refer to objects existing on the road, such as vehicles, pedestrians, bicycles, and motorcycles. The intelligent road device 200 of the present invention can detect and track traffic objects in camera collected images obtained through the input/output interface unit 220, recognize license plates or perform object re-identification, and traffic objects. The position and speed of an object can be recognized.

As mentioned above, radar can provide intelligent road devices with location and speed information of traffic objects more accurately than cameras, so more accurate information can be collected when detecting traffic objects through camera and radar fusion in intelligent road devices.

The traffic object information of the present invention has an object tracking list containing information on multiple traffic objects to be tracked. The object tracking list is created through detection and tracking of traffic objects. Traffic object information includes object attribute information for each traffic object. Object attribute information may include information such as ID, type, location information, speed information, vehicle number (vehicle, motorcycle, etc.) information, and re-identification feature map of the traffic object to be tracked. At this time, location information can be linked to a precision map to provide detailed location information for autonomous vehicles, such as lane locations. In this way, the intelligent road device 200 of the present invention can recognize various traffic situations based on tracking information of detected traffic objects.

Hereinafter, various operations of the intelligent road device 200 of the intelligent traffic information providing system 100 of the present invention will be described.

Specifically, the intelligent road device 200 of the present invention can recognize the traffic flow on the road based on traffic object information. That is, as shown in FIG. 4, the intelligent road device 200 detects and tracks traffic objects based on camera images or radar sensing information (S410) and creates an object tracking list. The average speed of the vehicle is calculated using speed information among the object properties of the object tracking list of object information (S420), and the degree of traffic flow is determined based on it (S430). The traffic flow determined at this time can be classified as smooth (more than 25 km/h), slow (15-25 km/h), and congested (15 km/h).

Additionally, the intelligent road device 200 of the present invention can recognize the occurrence of unexpected situations on the road. Recognized unexpected situations include, but are not limited to, stopping of traffic objects, reverse driving, appearance of pedestrians, falling objects, and appearance of moving objects such as wild animals. For example, the intelligent road device 200 of the present invention can determine that a vehicle that does not move independently when other vehicles, which are traffic objects, are moving based on external camera images or radar sensing information as a stationary vehicle. Additionally, the intelligent road device 200 of the present invention can detect stationary vehicles through background modeling. That is, as shown in FIG. 5, when background modeling is performed using an external camera image (S510), moving vehicles are removed from the background image and only stationary vehicles remain in the background, so traffic objects in the object tracking list are removed from the background. The vehicle can be detected by referring to the ID, etc. (S520), and when the vehicle is detected, the vehicle can be judged as a stationary vehicle by referring to the ID of the traffic object in the object tracking list (S530).

In relation to recognition of the occurrence of an unexpected situation, the intelligent road device 200 of the present invention can determine whether a falling object has occurred using background modeling. That is, as shown in FIG. 6, background modeling is performed (S610), background comparison is performed between the current background image and the previous background image obtained through (S620), and based on the comparison result, it is determined whether or not a falling object has occurred (S630). ) The presence or absence of falling objects can be recognized. Additionally, the intelligent road device 200 of the present invention can recognize whether a vehicle is driving in reverse based on traffic object information. That is, as shown in FIG. 7, the intelligent road device 200 detects and tracks traffic objects based on external camera images or radar sensing information (S710) and creates an object tracking list. Calculates the vehicle trajectory by tracking the location information among the object properties of the object tracking list of the traffic object information (S720), and determines whether or not there is a reverse vehicle based on the calculated movement trajectory of the tracked vehicle (S730).

The intelligent road device 200 of the present invention can perform pedestrian warnings based on traffic object information. That is, as shown in FIG. 8, the intelligent road device 200 detects and tracks traffic objects based on external camera images or radar sensing information (S810) and creates an object tracking list. If the type is determined to be a pedestrian, the exact location of the pedestrian is calculated using the location information (S820), and whether to perform a warning is determined based on the calculated pedestrian location (S830). As a result of the judgment, if there is a risk such as a collision with a pedestrian, a warning is issued to the driver. In addition, the intelligent road device 200 of the present invention can recognize an unexpected situation by detecting wild animals such as elk and wild boars and judging them to be moving objects.

The intelligent road device 200 of the present invention receives signal information from a signal controller installed on the road and is equipped with an on board unit (OBU), a terminal within the vehicle, to provide C-ITS (Cooperative-Intelligent Transport Systems) services. It is possible to provide vehicle speed acceleration/decrease information based on the remaining signal change time. Additionally, in the case of an independent intersection that does not require signal interconnection, the intelligent road device 200 can control the signaling system of the signal controller based on traffic volume or queue information for each road direction, and the traffic volume for each intersection direction is not constant depending on time. In this case, intelligent road devices can change the signal period of the signal controller in real time by considering traffic volume by road direction and the current queue.

In addition, the intelligent road device 200 of the present invention can perform responsive signal control in the case of minor roads with low traffic volume. For example, in the case of a sensitive left turn signal controller, the intelligent road device 200 of the present invention can detect if there is a left turn vehicle on a minor road as a result of camera image analysis and inform the signal controller that there is a left turn vehicle, and transmit this to the signal controller. The received signal controller can give a signal not to skip the left turn on the wrong road (also, sensitive straight-forward can be performed in the same process).

The intelligent road device 200 of the present invention can be installed at intervals on the road as shown in FIG. 1, and at this time, recognizes the road condition of the road section through collaboration between adjacent intelligent road devices 200-1 and 200-2. can do. In other words, an intelligent road device can exchange branch road traffic situation information acquired at a branch with an adjacent intelligent road device. Through this information exchange, the intelligent road device 200 can collect road section traffic flow information, recognize whether an unexpected situation has occurred up or down, or provide customized road section traffic flow information to an autonomous vehicle.

Specifically, the intelligent road device 200 of the present invention can transmit the traffic flow in front of the road to surrounding vehicles based on road traffic situation information received from an adjacent intelligent road device in the vehicle's direction of travel (for example, it can smoothly transmit traffic flow up to 5 km ahead). , slow speed, congestion, etc.). In addition, the intelligent road device 200 can calculate the speed of a road section using the vehicle number or re-identification feature map information of a traffic object among the traffic object information received from an adjacent intelligent road device (this can be used to determine the traffic flow) box).

In other words, the intelligent road device 200 of the present invention transmits the vehicle number information and point passing time of the traffic object among the acquired traffic object information to the adjacent intelligent road device, and the adjacent intelligent road device that receives this transmits the vehicle number information and the transfer time. By storing the point passing time, the vehicle number and current point passing time for vehicles passing through your surveillance area (recognized by camera images or radar sensing information) are obtained. At this time, after storing the same vehicle as a matching list in the form of [vehicle number, previous passing time, current passing time], when N vehicles pass during the time interval T based on [Equation 1], the section during the time interval T Traffic flow can be identified by calculating the speed as the average road section speed of N vehicles.

For example, as shown in Figure 9, license plate numbers are recognized through camera images (S910), and matching between vehicle numbers is performed using the point location, vehicle number, and passage time received from an adjacent intelligent road device (S920). ), the average section speed of the vehicles between the two road device installation sections is calculated for the matched vehicles based on Equation 1 (S930).

Additionally, the intelligent road device 200 of the present invention can calculate road section speed through a vehicle image re-identification process. To this end, specifically, the intelligent road device 200 of the present invention can transmit the re-identification feature map and the point passage time of the traffic object among the periodically acquired traffic object information to an adjacent intelligent road device. The adjacent intelligent road device that receives this stores [re-identification feature map, previous point passing time], and identifies the vehicle identified as the same vehicle as the re-identification feature map among the list of vehicles detected in the surveillance area of the adjacent intelligent road device. Collects the current transit time of a point. In addition, the re-identified vehicle can be stored and managed in the form of [vehicle ID, previous point passing time, current point passing time], and then the speed of the road section can be calculated using [Equation 1] to determine the traffic flow (time When there are N re-identified vehicles during section T, the section speed during time section T is calculated as the average section speed of N vehicles).

For example, as shown in Figure 10, vehicles are detected through camera images (S1010), and the point location, re-identification feature map, and passage time received from an adjacent intelligent road device are used to identify the same vehicle as the re-identification feature map. Re-identification is performed (S1020), and the average section speed of the vehicles between the two road device installation sections is calculated for the re-identified vehicles based on Equation 1 (S1030).

The intelligent road device 200 of the present invention can transmit the recognized unexpected situation to an adjacent intelligent road device. In other words, the intelligent road device 200 receives information about unexpected situations ahead (stop, reverse driving, pedestrians, falling objects, etc.) detected by the next adjacent intelligent road device in the direction of vehicle travel, recognizes unexpected situations in the up and down directions, and VMS ( Provides emergency situation information and warning of accident risk to surrounding vehicles through the Video Management System, etc. Route detour information can be provided

In addition, the intelligent road device 200 of the present invention can provide customized information for each vehicle to vehicles equipped with V2X communication equipment (C-ITS vehicles, autonomous cooperative driving vehicles, etc.). In other words, based on the location, direction, and speed information of the V2X communication support vehicle detected from the traffic object information, traffic flow information in front of the road, unexpected situation occurrence information, and signal information from the signal controller can be provided to the V2X communication support vehicle as customized information. You can. In particular, in the case of an unexpected situation, detailed information (information on the relevant lane, etc.) of the unexpected situation can be provided to the V2X communication support vehicle in connection with a precision map (for example, notification of an emergency stop vehicle in the first lane of a specific road section). ).

Hereinafter, the cloud control center 300 of the intelligent traffic information provision system 100 of the present invention will be described.

As shown in FIG. 1, the cloud control center 300 of the intelligent traffic information providing system 100 of the present invention receives point road traffic situation information and section road traffic from a plurality of intelligent road devices 200-1 and 200-2. After receiving and storing situational information periodically or immediately when an emergency occurs, global road traffic environment information is extracted through big data analysis. In the case of intelligent road devices installed at intersections, information such as traffic volume and queues by direction within the intersection may be included in the branch road traffic situation information and transmitted to the cloud control center 300. Additionally, information on all traffic objects collected by the intelligent road device 300 can be transmitted to the cloud control center 300. The cloud control center 300 stores all transmitted information and analyzes traffic information for the entire road. Below, we will explain object tracking and route tracking through information transmission and reception between intelligent road devices and the cloud control center.

1) Multi-object tracking

The cloud control center 300 of the present invention can track one or more targeted vehicles in real time through multi-camera tracking based on the re-identification (or vehicle number recognition) and tracking function of the intelligent road device 200. . For example, when the cloud control center 300 of the present invention transmits the re-identification feature map of the target vehicle to be tracked to the intelligent road device 200 (at this time, the cloud control center 300 also transmits the image of the vehicle to the intelligent road device ( 200), the intelligent road device 200 transmits the similarity value to the cloud control center 300 if there is a vehicle whose re-identification feature map similarity of the target vehicle is higher than a certain standard value. Afterwards, the cloud control center 300 can track the vehicle using spatial information such as re-identification feature map similarity value, time, and point transmitted from the intelligent road device 200.

Additionally, the target vehicle can be tracked using its license plate number. That is, when the cloud control center 300 transmits the target license plate number to the intelligent road device 200, and the intelligent road device 200 performs license plate matching and detects a vehicle with the corresponding license plate number, the cloud control center 300 ), you can transmit the vehicle's attribute information and branch information.

2) Target vehicle path tracking

Additionally, the cloud control center 300 of the present invention can track the path of a specific vehicle through license plate recognition. In other words, when the intelligent road device 200 of the present invention transmits the license plate information to the cloud control center 300, the cloud control center 300 stores and manages it and then receives the license plate information of the target vehicle. The path of the target vehicle can be tracked by connecting the location of the recognized intelligent road device 200.

Alternatively, after the intelligent road device 200 transmits the re-identification feature map for each vehicle to the cloud control center 300 and the cloud control center 300 stores and manages it, the cloud control center 300 receives the target vehicle image. The path of the target vehicle can be tracked by extracting the corresponding vehicle feature map and connecting the location of the intelligent road device 200 that detected the vehicle in the re-identified feature map with high similarity.

3) Derive optimal route

The cloud control center 300 of the present invention can derive an optimal route based on the point road traffic environment information and section road traffic environment information received and stored from the intelligent road device 200. That is, as shown in FIG. 11, the cloud control center 300 receives a request from the driver to calculate the optimal route from the departure point to the destination, and when the departure point and destination information is input, the cloud control center 300 collects long-term, accumulated communication information by month, day of the week, and time zone in the form of big data. The basic optimal route can be calculated based on (section speed, etc.) (S1110), and the real-time optimal route can be calculated using traffic information collected in real time (S1120). In this way, the optimal route is basically derived based on big data, and when additional variables such as unexpected situations occur in real-time collected traffic information, the optimal route can be provided to vehicles by reflecting this.

4) Derivation of optimal signal system

As shown in FIG. 12, the cloud control center 300 of the present invention receives traffic volume and queue information by direction and vehicle type from the intelligent road device 200 installed at a signalized intersection, and calculates the traffic volume by intersection by month, day of the week, and time accumulated over a long period of time. Using information (in the form of big data), the optimal signal system can be derived for each day of the week and time zone.

In other words, as shown in Figure 12, when traffic volume and queue information by direction and vehicle type are input to the cloud control center from the intelligent road device installed at the signalized intersection, the machine uses the traffic volume information by month, day, and time accumulated over a long period of time in the form of big data. The optimal signal system can be derived using a learning or reinforcement learning-based optimization algorithm or a signal system derivation algorithm based on basically used signal system big data (S1210). Additionally, in areas or time zones where there is not much traffic, real-time signal control can be performed to reduce vehicle signal waiting time based on traffic volume information collected at road traffic sites.

In addition, when the cloud control center 300 of the present invention confirms the occurrence of an urgent event such as a traffic accident or fire from the received road traffic environment information, the corresponding event information (event value) is sent to the relevant organizations (police, fire, medical). , event video) can be provided.

Figure 13 is a flowchart showing a method of providing intelligent traffic information using an intelligent road device according to an embodiment of the present invention.

The intelligent road device 200 receives road traffic status information through the input/output interface unit 220 (S1310). The intelligent road device 200 can receive V2X information through the V2X communication processing unit 230 (S1320). The intelligent road device 200 uses the received road traffic status information and/or V2X information to recognize the road traffic situation at the point where the intelligent road device 200 is installed (S1330). The intelligent road device 200 generates point road traffic situation information based on the recognized road traffic state (S1340). The intelligent road device 200 transmits road traffic status information and/or point road traffic situation information to at least one of the adjacent intelligent road device, the cloud control center 300, and the surrounding driving vehicle 270 (S1350) (implementation Depending on the system, V2X road traffic situation information can also be transmitted).

As described above, the intelligent road device 200 receives road traffic situation information and/or road traffic status information from the adjacent intelligent road device 200 at the point where the adjacent intelligent road device 200 is installed, thereby facilitating communication between road sections. Information (information on section speed, section congestion, etc.) can be generated. The information about traffic in the road section generated in this way can be transmitted to nearby driving vehicles 270, which are vehicles driving around the intelligent road device, or to the cloud control center 300.

In addition, the cloud control center 300 can analyze road traffic status information and/or point road traffic status information received from one or more intelligent road devices as big data to generate and provide optimal route information, and can generate and provide optimal route information and signals installed on the road. The optimal signal system operation can be instructed to the controller.

The above embodiments may be implemented using various types of computing means including one or more processors, memory, and storage means. It may also include a network interface connected to a wired or wireless network. The processor may be a central processing unit or a semiconductor device that executes processing instructions stored in a memory and/or storage unit. The memory and the storage unit may include volatile or non-volatile storage media. For example, the memory may include ROM and RAM. Accordingly, embodiments of the invention may be implemented as a computer-implemented method or a non-transitory computer-readable medium with computer-executable instructions stored on the computer. In one embodiment of the invention, when executed by a processor, computer readable instructions can perform a method according to at least one aspect of the invention.

Above, the configuration of the present invention has been described in detail through preferred embodiments of the present invention. However, the above-described embodiments are merely examples and do not limit the scope of the present invention. Those skilled in the art will be able to make various modifications and changes within the scope of the technical idea of the present invention from the teachings and suggestions of the present specification. For example, the V2X communication processing unit 230 and communication unit 240 may be integrated and implemented as one module or may be implemented by dividing them into two or more devices. Therefore, the scope of protection of the present invention should be determined by the description of the claims below.

Claims (1)

Input/output interface unit that receives road traffic status information
a situation recognition and control unit that recognizes road traffic conditions based on the road traffic status information received from the input/output interface unit and generates road traffic situation information;
A V2X communication processing unit that receives V2X (vehicle-to-everything) information from outside the vehicle; and
It includes a communication unit that transmits at least one of the road traffic status information and the road traffic status information to a cloud control center,
The road traffic status information is information about road traffic conditions transmitted by cameras, radars, and signal controllers on the road,
The road traffic situation information includes at least one of branch road traffic situation information, branch road traffic situation information, and V2X road traffic situation information,
The V2X communication processing unit is an intelligent road device that transmits the road traffic situation information to surrounding vehicles that are driving.