KR20230146418A - Flex zone operating system and method thereof - Google Patents

Abstract

The present invention classifies the use cases of Flex Zone, a multi-purpose road installed in the curb space of the road, and selects the operation method for each Flex Zone to provide real-time information on the situation of the roads surrounding the Flex Zone and the Flex Zone, as well as the current time and region. Depending on the traffic volume, all flex zones are managed and operated in an integrated manner through the integrated control unit, and the operation commands for each respective flex zone or each respective flex are sent from the integrated control unit through individual control units installed individually in each relevant flex zone. When an information collection unit is installed in a zone, road use efficiency is maximized by automatically changing and controlling the use cases of each individual flex zone selectively according to the quantity through object detection in the flex zone in real time through the information collection unit. This relates to a flex zone operation system and operation method that can improve the convenience of road users.

Description

Flex zone operating system and method thereof}

The present invention relates to a flex zone operation system and operation method. More specifically, the use case of a flex zone, which is a multi-purpose road installed in the curb space of a road, is controlled by an integrated control unit through an individual control unit individually installed in each flex zone. Selective use of each individual flex zone according to the operation command of each relevant flex zone transmitted from the flex zone or the quantity through real-time detection of objects in the relevant flex zone through the relevant information collection unit when an information collection unit is installed in each relevant flex zone. This relates to a flex zone operation system and operation method that can maximize road use efficiency and improve convenience for road users by automatically changing and controlling cases.

In general, the use of roads is provided through the installation of dedicated roads for each means of transportation such as vehicles, pedestrians, bicycles, etc., and the installed roads are designed to suit the specifications and service level of each means of transportation.

At this time, each means of transportation cannot invade the road of other means except pedestrians.

Accordingly, as the unused space on the road increases, the performance of the road is often not properly utilized, and the number of traffic per unit time and the speed of traffic are also adversely affected, which reduces the capacity of the road.

In addition, as autonomous driving technology develops in the long term, driving control changes from driver-centered to autonomous driving system, excluding human factors, and physical changes to the road due to increase in average driving speed due to platooning, stabilization of traffic flow, and increase in road capacity. is expected to occur.

In addition, nationwide, the average number of registered cars per person is continuously increasing from 0.3 in 2003 to 0.5 in 2020, and as available resources for road installation are limited, road installation cannot keep up with the increase in cars, leading to road damage. It appears that the problem of saturation will occur.

In addition, current roads are used not only for vehicle movement but also for various purposes such as parking, bicycle paths, loading and unloading, and boarding and disembarking.

Accordingly, it is expected that problems will arise where the functions of currently installed roads impede the performance of self-driving cars.

In response to this, there is a need to maximize road use efficiency through the reorganization and maintenance of roads, which are elements other than vehicles in transportation, and at the same time, there is a need for roads customized for autonomous vehicles that are easy for users.

In particular, an operating system that automatically changes the multi-purpose road installed in the curb space of the road, including autonomous vehicles, in real time according to the classified use cases by comprehensively considering road conditions, surrounding conditions, and time, and allows the use of the road. The development of operational methods is urgently needed.

Republic of Korea Patent Publication No. 10-2011-0121887 Republic of Korea Patent Publication No. 10-2016-0014363 Republic of Korea Patent Publication No. 10-2018-0041999 Republic of Korea Patent Publication No. 10-2017-0114408 Republic of Korea Patent Publication No. 10-2017-0096437

The present invention is to solve the above problems, and the purpose of the present invention is to classify the use cases of flex zones, which are multi-purpose roads installed in the curb space of the road, and to select an operation method for each flex zone and provide real-time corresponding All flex zones are managed and operated in an integrated manner through the integrated control unit according to the conditions of the roads surrounding the flex zone, the current time, and regional traffic volume, and the integrated control unit receives information from the integrated control unit through individual control units that are individually installed in each flex zone. The use case of each individual flex zone is selectively determined according to the transmitted operation command of each flex zone or the quantity through real-time detection of objects in the flex zone through the information collection unit when an information collection unit is installed in each flex zone. The goal is to provide a flex zone operation system and operation method that can maximize road use efficiency and improve convenience for road users by automatically changing and controlling.

In order to achieve the purpose of the present invention, the flex zone operation system according to the present invention classifies the use cases of the flex zone, which is a multi-purpose road installed in the curb space of the road, and selects an operation method for each flex zone to provide real-time corresponding flex An integrated control department that integrates, manages and operates all flex zone use cases according to the conditions of the roads around the zone and the flex zone, the current time, and regional traffic volume; And one or more individual control units that are individually installed in each corresponding flex zone, connected to the integrated control unit through a network, and individually controlled for each corresponding flex zone; wherein each individual control unit receives information transmitted from the integrated control unit. When an information collection unit is installed in each flex zone, the use cases of each individual flex zone are selectively automatically selected according to the operation command of each flex zone or the quantity through real-time detection of objects in the flex zone through the information collection unit. It can be changed to .

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, each corresponding flex zone of the flex zone operating system is divided into one or more use case batch units, and each of the individual control units is configured to control each corresponding flex zone. Multiple use cases can be controlled by changing the use cases collectively or selectively for each batch unit.

In addition, in another preferred embodiment of the Flex Zone operating system according to the present invention, the integrated control unit of the Flex Zone operating system includes a communication module that communicates with the individual control unit by wire or remotely through a network; Data for integrated management and operation of use cases for each deployment unit of all flex zones according to the real-time situation of the roads surrounding the flex zone and the current time and regional traffic volume, as well as operation scenarios for each deployment unit of the flex zone and the above. a database module that stores individual operation feedback information for each batch unit of each corresponding flex zone transmitted from each individual control unit through a communication module and data transmitted in real time from the individual control unit; a classification module that classifies the use cases of each flex zone according to the data stored in the database module; a selection module that selects an operation method between sequential and variable types according to the data stored in the database module and whether or not the information collection unit is installed in the corresponding flex zone; and a decision module that determines priority according to the data stored in the database module, the flex zone through the individual control unit, and the situation for each deployment unit of the flex zone.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the integrated control unit of the flex zone operating system controls the use cases of the flex zone classified in the classification module, the sequential time zone of the selection module, and the decision module. The priority determined in automatically collects and analyzes the flex zone operation information stored in the database module and the operation information newly generated in each individual control unit to use one or two of supervised learning, unsupervised learning, or reinforcement learning. As machine learning is performed by selecting more than one use case, the use case classification is automatically modified and reclassified, the time period of the sequential type is readjusted, and the priority is redetermined according to the reclassified use case; a modification module; More may be included.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the integrated control unit of the flex zone operating system controls the reclassified use case modified by the correction module through machine learning, the readjusted sequential time zone, or It may further include a verification module that detects the presence or absence of errors in the redetermined priorities through deep learning using big data.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the integrated control unit of the flex zone operating system includes the communication module, the database module, the classification module, the selection module, the decision module, the modification module, and It may further include a display module that converts the data or results of the verification module into graphics, text, or images and displays them using a user graphic guidance program.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the classification module of the integrated control unit of the flex zone operating system is largely classified into transportation mobility, transportation accessibility, logistics accessibility, leisure facilities, green space, and space designated for specific purposes. The transportation mobility is subcategorized into autonomous vehicle mobility, pedestrian mobility, bicycle and personal mobility mobility, and air transportation mobility, and the transportation accessibility is divided into shared autonomous vehicle loading and unloading areas, transferable areas, and short-term parking. Subcategories are classified into zones, and the logistics accessibility can be subcategorized into regular logistics, courier logistics, and city airport logistics.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the sequential type of the selection module of the flex zone operating system is in the order of dawn time zone, commute time zone, lunch time zone, afternoon time zone, work time zone, and late night time zone. Use cases can be controlled by repeatedly changing them.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the database module of the integrated control unit of the flex zone operating system monitors all traffic in real time according to the surrounding roads of the flex zone and the situation of the flex zone, the current time, and regional traffic volume. A basic data storage unit that stores basic data for integrated management and operation of Flex Zone use cases; a scenario storage unit that stores scenarios for each flex zone or each flex zone deployment unit according to the selection result of the selection module; a feedback data storage unit that stores operational feedback information for each flex zone or flex zone deployment unit received from the individual control unit through the communication module; and data transmitted and received through the communication module, use case classification results by the classification module, selection results by the selection module, decision results by the decision module, modification results by the modification module, and verification by the verification module. It may include a real-time data storage unit that stores real-time data about the results.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the individual control unit of the flex zone operating system includes an information collection unit installed in each flex zone and detecting objects for each flex zone or flex zone placement unit. ; a transmitting and receiving unit that communicates with the integrated control unit and the information collection unit through a network; a memory unit storing information collected from the information collection unit, information transmitted or received from the transmitting/receiving unit, and information for controlling use cases for each corresponding flex zone or corresponding flex zone deployment unit; an analysis unit that automatically controls use cases for each flex zone or each flex zone deployment unit based on information stored in the information collection unit, the transceiver unit, and the memory unit; and an output unit that outputs the results of the information collection unit, the transceiver unit, the memory unit, and the analysis unit.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the analysis unit of the individual control unit of the flex zone operating system detects the flex zone or the object for each flex zone placement unit in real time through the information collection unit. detection unit; an object classification unit that classifies the detected objects based on the detection results of the object detection unit and data stored in the memory unit to match the use case classification of the classification module; According to the detection result of the object detection unit, the data stored in the memory unit, and the classification result of the object classification unit, the priority or specific use is determined to match the priority of the decision module for each flex zone or each flex zone arrangement unit. judgment department; a quantity accumulation unit that adds up the quantity accumulation for each object according to the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, and the judgment result of the judgment unit; A calculation unit that calculates a service level for each object of a use case according to the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, the judgment result of the judgment unit, and the accumulated quantity of each object of the quantity accumulation unit. ; and the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, the judgment result of the judgment unit, the accumulated quantity for each object of the quantity accumulation unit, the calculation result of the calculation unit, whether a vehicle is included, and the type of vehicle. It may include a comparison unit that compares and selects a use case.

In addition, in another preferred embodiment of the flex zone operating system according to the present invention, the objects detected through the object detection unit of the analysis unit of the individual control unit of the flex zone operating system are shared autonomous vehicles, autonomous vehicles, general vehicles, and pedestrians. , it may include at least one of urban air mobility, bicycles, or personal mobility.

In addition, in another preferred embodiment of the Flex Zone operating system according to the present invention, the object detection unit and the quantity accumulation unit of the Flex Zone operating system automatically determine object information detected through image recognition using big data. And if additional detections are made, quantity accumulation can be performed automatically.

Additionally, in another preferred embodiment of the flex zone operating system according to the present invention, one use case deployment unit of the flex zone operating system may have a straight line length of 6 m or more and 20 m or less.

In order to achieve another object of the present invention, the flex zone operation method according to the present invention classifies the use cases of the flex zone, which is a multi-purpose road installed in the curb space of the road, and selects an operation method for each corresponding flex zone to operate the flex zone in real time. A step of storing integrated operation information to integrate, manage and operate the use cases of all flex zones according to the roads surrounding the flex zone, the situation of the flex zone, the current time and regional traffic volume; Connecting, by wire or remotely, an integrated control unit that integrates, manages and operates all flex zones, and one or more individual control units that individually control each corresponding flex zone, through a network; Storing information collected from the information collection unit and individual operation information for individual operation of use cases for each flex zone or flex zone deployment unit; Classifying use cases of each flex zone according to pre-stored data, integrated operation information, and individual operation information; Selecting an operation method from sequential type and variable type according to pre-stored data, integrated operation information and individual operation information, and whether or not the information collection unit is installed in the corresponding flex zone; Pre-stored data, integrated operation information and individual operation information, the flex zone through the individual control unit, the situation for each deployment unit of the flex zone, and determining the priority of the use case when variable type is selected according to the selection result. ; Detecting objects in the flex zone or in each flex zone placement unit in real time; Classifying the detected objects to match the classified use cases through object detection results, pre-stored data, integrated operation information, and individual operation information; Priority determined through a decision step for each flex zone or each flex zone deployment unit according to the object detection results, pre-stored data, integrated operation information and individual operation information, and the results of classifying the detected objects to match the classified use cases. determining priorities or specific uses to match the rankings; Accumulating the quantity for each object according to the object detection result, pre-stored data, integrated operation information and individual operation information, the result of classifying the detected object to match the classified use case, and the judgment result; Service for each object in the use case according to object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, and cumulative quantity results for each object. calculating the level; and object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, quantity accumulation results for each object, and service level calculation results for each object. A step of selecting a use case by comparing whether or not a vehicle is included in the use case and the type of vehicle; may include.

In addition, in another preferred embodiment of the flex zone operation method according to the present invention, after the step of selecting an operation method among the sequential type and the variable type of the flex zone operation method, pre-stored data, integrated operation information and individual operation information, and the individual When the flex zone is selected sequentially according to the control unit, the situation for each deployment unit of the flex zone, and the selection result, it is used in the following order: dawn time zone, commute time zone, lunch time zone, afternoon time zone, work time zone, and late night time zone. By changing the case repeatedly, you can control each flex zone or each batch unit of the flex zone.

In addition, in another preferred embodiment of the flex zone operation method according to the present invention, use cases of the flex zone classified in the classification step after the step of selecting the use case of the flex zone operation method, sequential time zones in the selection step, And the priorities determined in the decision stage automatically collect and analyze pre-stored data, integrated operation information, and each newly created individual operation information to use one or more of supervised learning, unsupervised learning, or reinforcement learning. It may further include a modification step of automatically revising and reclassifying the use case classification as machine learning is selected, readjusting the time period of the sequential type, and re-determining the priority according to the reclassified use case. You can.

In addition, in another preferred embodiment of the flex zone operation method according to the present invention, after the above modification step of the flex zone operation method, a reclassified use case modified in the modification step through machine learning, a readjusted sequential time zone, or It may further include detecting the presence or absence of an error using the redetermined priority through deep learning using big data.

In addition, in another preferred embodiment of the flex zone operation method according to the present invention, after the verification step of the flex zone operation method, the object detection result, pre-stored data, integrated operation information and individual operation information, and the detected objects are classified. It may further include displaying the results of object classification to match the use case, the judgment result, the quantity accumulation result for each object, the service level calculation result for each object, the use case selection result, the modification result, and the verification result.

The flex zone operation system and operation method according to the present invention classifies the use cases of the flex zone, which is a multi-purpose road installed in the curb space of the road, and selects an operation method for each flex zone to provide real-time control of the flex zone and the surrounding roads. All flex zones are managed and operated in an integrated manner through the integrated control unit according to the situation of the flex zone, the current time, and regional traffic volume, and each flex zone is transmitted from the integrated control unit through an individual control unit that is individually installed in each flex zone. When an information collection unit is installed in each flex zone, the use case of each individual flex zone is automatically changed and controlled selectively according to the zone's operation command or the quantity through real-time object detection in the flex zone through the information collection unit. This has the effect of maximizing road use efficiency and minimizing traffic delays.

In addition, the flex zone operation system and operation method according to the present invention automatically changes and controls the use case in real time according to various factors such as surrounding road conditions and time, thereby selectively controlling the capacity of the road, which is a limited resource. This has the effect of reducing road installation and maintenance costs and time, and preventing indirect costs and waste of resources.

Moreover, the flex zone operation system and operation method according to the present invention automatically changes the use case in real time according to various factors such as surrounding road conditions and time of the flex zone, improving the convenience of road users and preventing traffic accidents in advance. This has the effect of preventing inconvenience to managers and workers and maximizing satisfaction.

Figure 1 shows a conceptual diagram of a flex zone operating system according to the present invention.
Figure 2 shows a configuration diagram of the integrated control unit of the Flex Zone operating system according to the present invention.
Figure 3 shows a configuration diagram of the individual control unit of the Flex Zone operating system according to the present invention.
Figure 4 shows a procedure diagram of the flex zone operation method according to the present invention.
Figure 5 shows the operating principle of the flex zone operating system and operating method according to the present invention.
Figure 6 shows a conceptual diagram according to an embodiment of the flex zone operating system in which the information collection unit according to the present invention is not installed.
Figure 7 shows a conceptual diagram of the operation principle according to the sequence of the flex zone operating system without an information collection unit installed according to the present invention.
Figure 8 shows a conceptual diagram according to an embodiment of the flex zone operating system installed with the information collection unit according to the present invention.
Figure 9 shows a conceptual diagram of the operating principle according to an embodiment according to the variable type of the flex zone operating system in which the information collection unit according to the present invention is installed.
Figure 10 shows a conceptual diagram of the operating principle according to another embodiment according to the variable type of the flex zone operating system installed with the information collection unit according to the present invention.
Figure 11 shows an example of use case classification of the flex zone operating system and operating method according to the present invention.
Figure 12 shows an example of division according to time zone of the flex zone operating system and operating method according to the present invention.

Hereinafter, the flex zone operating system and operating method according to an embodiment of the present invention will be described in detail with reference to the drawings. The embodiments introduced below are provided as examples so that the idea of the present invention can be sufficiently conveyed to those skilled in the art. Accordingly, the present invention is not limited to the embodiments described below and may be embodied in other forms. Also, in the drawings, the size and thickness of the device may be exaggerated for convenience. Like reference numerals refer to like elements throughout the specification.

Since the present invention can be modified in various ways and can have various embodiments, specific embodiments will be illustrated in the drawings and described in detail in the detailed description. The effects and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various forms. In the following embodiments, terms such as first and second are used not in a limiting sense but for the purpose of distinguishing one component from another component. Additionally, singular expressions include plural expressions unless the context clearly dictates otherwise. Additionally, terms such as include or have mean that the features or components described in the specification exist, and do not preclude the possibility of adding one or more other features or components. Additionally, in the drawings, the sizes of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are shown arbitrarily for convenience of explanation, so the present invention is not necessarily limited to what is shown.

The advantages and features of the present invention and methods for achieving them will become clear by referring to the embodiments described in detail below along with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and will be implemented in various different forms. These embodiments only serve to ensure that the disclosure of the present invention is complete and that common knowledge in the technical field to which the present invention pertains is provided. It is provided to fully inform those who have the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification. The sizes and relative sizes of layers and regions in the drawings may be exaggerated for clarity of explanation.

The terminology used herein is for describing embodiments and is therefore not intended to limit the invention. As used herein, singular forms also include plural forms, unless specifically stated otherwise in the context. As used in the specification, “comprise” and/or “comprising” refers to the presence of one or more other components, steps, operations and/or elements. or does not rule out addition.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. When describing with reference to the drawings, identical or corresponding components will be assigned the same reference numerals and redundant description thereof will be omitted. .

Figure 1 shows a conceptual diagram of the flex zone operating system according to the present invention, Figure 2 shows the configuration of the integrated control unit of the flex zone operating system according to the present invention, and Figure 3 shows the individual control unit of the flex zone operating system according to the present invention. Shows the configuration diagram. Figure 4 shows a procedure diagram of the flex zone operation method according to the present invention. Figure 5 shows the operating principle of the flex zone operating system and operating method according to the present invention. Figure 6 shows a conceptual diagram according to an embodiment of the flex zone operating system in which the information collection unit according to the present invention is not installed. Figure 7 shows a conceptual diagram of the operation principle according to the sequence of the flex zone operating system without an information collection unit installed according to the present invention. Figure 8 shows a conceptual diagram according to an embodiment of the flex zone operating system installed with the information collection unit according to the present invention. Figure 9 shows a conceptual diagram of the operating principle according to an embodiment according to the variable type of the flex zone operating system in which the information collection unit according to the present invention is installed. Figure 10 shows a conceptual diagram of the operating principle according to another embodiment according to the variable type of the flex zone operating system installed with the information collection unit according to the present invention. Figure 11 shows an example of the use case classification of the flex zone operating system and operating method according to the present invention. Figure 12 shows an example of division according to time zone of the flex zone operating system and operating method according to the present invention.

As shown in FIGS. 1 to 3 and 5 to 10, the flex zone operating system 1 according to an embodiment of the present invention includes a flex zone 100, an integrated control unit 200, and one or more individual control units ( 300).

Flex Zone (100) refers to a multi-purpose road installed in the curb space of the road (110). In other words, the flex zone is a space for floating purposes installed in the unmarked space among all roads, and is a space for various purposes such as parking, bicycle lanes, shared mobility, abandoned facilities, and goods loading space in addition to vehicle movement among the road functions. it means.

Specifically, Flex Zone was introduced to maximize road use efficiency through the reorganization and maintenance of roads, which are elements other than vehicles in transportation, and at the same time satisfy the need for roads customized for autonomous vehicles that are easy for users to use in various situations and flex zones. It refers to a multi-purpose road installed in the curb space of a road where the flex zone can be automatically operated in real time for the optimal use case, taking into account the purpose and priority of the road.

The integrated control unit 200 classifies the use cases of the flex zone, which is a multi-purpose road installed in the curb space of the road, and selects an operation method for each flex zone to monitor the current status and status of the roads around the flex zone and the flex zone in real time. The use cases of all Flex Zones are integrated, managed and operated according to time and regional traffic volume.

One or more individual control units 300 are individually installed in each corresponding flex zone, connected to the integrated control unit through a network, and perform individual control for each corresponding flex zone.

In other words, each individual control unit 300, which is individually installed in each corresponding flex zone, receives the operation command of each corresponding flex zone transmitted from the integrated control unit or the corresponding information collection unit when the information collection unit is installed in each corresponding flex zone. By detecting objects in the flex zone in real time and automatically changing the use case of each individual flex zone selectively according to the quantity, the flex zone is operated, managed, and controlled to maximize road use efficiency and minimize traffic delays. By automatically changing and controlling use cases in real time according to various factors such as surrounding road conditions and time, the capacity of the road, which is a limited resource, is selectively increased, reducing road installation and maintenance costs and time, and reducing indirect costs and time. Waste of resources can be prevented.

The integrated control unit and individual control unit are devices installed with programs for operating and managing Flex Zone based on wired/wireless communication, such as fixed terminals such as desktop PCs, laptop computers, and personal computers such as ultrabooks. It can be formed as

5 to 10, each corresponding flex zone 100 of the flex zone operating system 1 according to an embodiment of the present invention is divided into one or more use case deployment units 120, each The individual control unit 300 can change and control use cases collectively or selectively for each use case arrangement unit 120 of each corresponding flex zone.

In addition, preferably, one use case arrangement unit 120 may be formed to have a straight line length of 6 m or more and 20 m or less. One use case placement unit must have a straight line length of at least 6m according to the general type of parking lot in Article 3 of the Enforcement Rules of the On-street Parking Act, and can be used with buses and trucks for various purposes such as logistics, bus loading and unloading, cargo loading, and cargo unloading. Considering the same vehicle size, it is formed to be less than 20m.

If the straight line length of one use case arrangement unit is less than 6m, it cannot be used as a use case for parking purposes in violation of laws, which violates road use efficiency and versatility, and the straight line length of one use case arrangement unit exceeds 20m. In this case, as each unit is too large and an additional information collection department must be installed, a lot of cost and time is consumed in operating and managing the flex zone, and as the size of the flex zone nationwide becomes too large, there are restrictions on the installation and operation of the flex zone. There is a problem that arises.

As shown in Figure 2, the integrated control unit 200 of the flex zone operating system 1 according to the present invention includes a communication module 210, a database module 220, an analysis module 230, a selection module 240, and a decision module. It includes a module 250, a modification module 260, a verification module 270, and a display module 280.

The communication module 210 communicates with the individual control unit 300 by wire or remotely through a network. One or more individual control units of the communication module are connected through a network, and each individual control unit is connected to the information collection unit through the network when the information collection unit is installed.

This network has a connection structure that allows information exchange between each node, such as the integrated control unit 200, the individual control unit 300, the communication module 210, the transmitting and receiving unit 320, and/or the information collection unit 310. Meaning, examples of such networks include the 3rd Generation Partnership Project (3GPP) network, Long Term Evolution (LTE) network, World Interoperability for Microwave Access (WIMAX) network, Internet, Local Area Network (LAN), and Wireless Includes, but is not limited to, LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth network, satellite broadcasting network, analog broadcasting network, DMB (Digital Multimedia Broadcasting) network, etc. does not

Additionally, if necessary, the individual control unit 300 and the integrated control unit 200 may be connected via Ethernet or serial communication, but are not limited to this.

The database module 220 provides data for integrating, managing, and operating use cases for each deployment unit of all flex zones according to the real-time situation of the roads surrounding the flex zone and the flex zone, the current time, and regional traffic volume, and the placement of the flex zone. It stores operation scenarios for each unit, individual operation feedback information for each batch unit of each flex zone transmitted from each individual control unit through the communication module, and data transmitted in real time from the individual control unit.

These database modules and the memory unit described later may be various storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc., or may be web storage that performs the storage function of the database module on the Internet. .

As shown in Figure 2, the database module 220 of the integrated control unit 200 of the flex zone operating system 1 according to the present invention includes a basic data storage unit 221, a scenario storage unit 222, and a feedback data storage unit. (223), and a real-time data storage unit (224).

The basic data storage unit 221 stores basic data for integrated management and operation of use cases of all flex zones according to the real-time conditions of the roads surrounding the flex zone and the flex zone, the current time, and regional traffic volume. In other words, the basic data storage unit stores basic data on the situation and traffic volume of the flex zone in each region, management programs, operation programs, etc.

The scenario storage unit 222 stores scenarios for each flex zone or each flex zone deployment unit according to the selection result of the selection module. That is, as shown in FIG. 7, when there is no information collection unit by the selection module, one scenario stored in the scenario storage unit is selected to operate and manage the corresponding flex zone.

The feedback data storage unit 223 stores operational feedback information for each flex zone or flex zone deployment unit received from the individual control unit through the communication module.

The real-time data storage unit 224 stores data transmitted and received through the communication module, use case classification results by the classification module, selection results by the selection module, decision results by the decision module, modification results by the modification module, and Stores real-time data on verification results.

The classification module 230 classifies the use cases of each flex zone according to data already stored in the database module. In other words, the classification module classifies the use cases of each Flex Zone into major and minor categories according to the data stored in the database module.

For example, as shown in Figure 11, the classification module classifies major categories into transportation mobility, transportation accessibility, logistics accessibility, leisure facilities, green space, and space designated for specific purposes.

In addition, among the major categories, transportation mobility is again classified into subcategories of autonomous vehicle mobility, pedestrian mobility, bicycle and personal mobility mobility, and air transportation mobility.

Specifically, autonomous vehicle mobility refers to classifications such as autonomous vehicle-only roads for the movement of autonomous vehicles, including autonomous vehicles (AVs) and shared autonomous vehicles (SAVs). Pedestrian mobility refers to the movement of people and goods using sidewalks and pedestrian-only roads, bicycle and personal mobility (PM) mobility refers to movement through bicycles and personal motorized transportation, and air transportation Mobility refers to mobility for the movement of air mobility such as urban air mobility (UAM).

In addition, among the major categories, transportation accessibility is again subcategorized into shared autonomous vehicle boarding and disembarking areas, transferable areas, and short-term parking areas.

Specifically, the shared self-driving car boarding and disembarkation area refers to an area where there is a boarding and disembarkation area for shared self-driving cars, such as a bus stop, and the transferable area refers to public transportation, light rail or tram, urban air mobility, and shared self-driving cars, such as the Yeouido Transfer Center. It refers to an area where autonomous vehicles can transfer, and the short-term parking area refers to an area for short-term parking of personal autonomous vehicles.

Likewise, among the major categories, logistics accessibility is subcategorized into regular logistics, courier logistics, and city airport logistics.

Specifically, regular logistics refers to the loading area for food and regular delivery of goods such as early morning delivery by logistics companies for individuals, convenience stores, and general stores, and courier logistics refers to the loading area for irregular courier logistics delivery. Urban air logistics refers to a logistics loading area using drones and urban air mobility.

Leisure facilities are classified only into major categories and are not further classified into separate subcategories, but refer to vibrant social spaces such as food trucks, street festivals, etc.

In addition, green space is only classified into major categories and no additional subcategories are classified, but refers to spaces for improving aesthetics and environment, such as street trees, plant boxes, and rain gardens, or spaces such as parks.

Likewise, spaces designated for specific uses are classified only in major categories and are not further classified into separate subcategories, but refer to spaces designated for specific uses such as autonomous vehicle response space (fallback space), police cars, fire trucks, and charging waiting spaces.

The selection module 240 selects an operation method between sequential and variable types depending on the data stored in the database module and whether or not the information collection unit is installed in the corresponding flex zone.

That is, as shown in FIG. 5, the selection module checks the data stored in the database module and whether the information collection unit of the corresponding flex zone is installed and selects the operating method of the corresponding flex zone between sequential and variable types.

As shown in FIG. 12, the sequential type of the selection module repeatedly changes the use cases in the following order: early morning, commuting, lunch, afternoon, late at work, and late at night.

That is, every day, in the early morning between 02:00 and 06:00, in the rush hour between 07:00 and 10:00, at lunchtime between 11:00 and 13:00, in the afternoon between 13:00 and 17:00, and between 17:00 and 20:00. You can set it to work time or late night time between 21:00 and 01:00.

In addition, when a national event such as the CSAT occurs through the modification module described later, each sequential time zone can be changed or the type of time zone can be modified.

If the information collection unit is not installed in the flex zone, the sequential operation method is selected and the use cases of the flex zone or use case batch unit are sequentially changed according to time according to the time sequence as shown in FIG. 12.

In addition, as shown in Figures 6 and 7, the use cases of the flex zone or use case batch unit are optimally applied according to the scenario stored in the scenario storage of the database module according to the flex zone or use case batch unit. It can be operated.

The decision module 250 determines the priority according to the data stored in the database module, the flex zone through the individual control unit, and the situation for each deployment unit of the flex zone.

If the sequential type is selected in the selection module, the corresponding flex zone is operated according to the time zone or pre-stored scenario without determining priority, but in the case of variable type, use cases are automatically processed in real time by considering the 1st to 4th priorities as follows. It will be applied and operated.

Specifically, as primarily described above, when a space designated for a specific use is confirmed or an object corresponding to a space designated for a specific use is detected, priority is determined through the determination module and the determination unit of the analysis unit of the individual control unit, which will be described later.

Additionally, if the object level of service (LoS) calculated through the calculation unit of the analysis unit of the individual control unit is the same, the major classification gives priority to traffic mobility.

Additionally, thirdly, when the service level for each object calculated through the calculation unit of the analysis unit of the individual control unit is the same and the traffic mobility is the same, priority is given to whether or not to include vehicles. That is, cases where a vehicle is included have priority over cases where a vehicle is not included.

In addition, if the service level for each object calculated through the calculation unit of the analysis unit of the individual control unit is the same, the transport mobility is the same, and vehicles are included, priority is given to public transport mobility. In other words, the major category includes vehicles among transportation mobility, and public transportation is a priority public transportation mobility use case, and public transportation mobility use cases are assigned and operated to the relevant flex zone or use case deployment unit of the relevant flex zone.

In this way, when operating the flex zone by selecting the variable type in the selection module and operating the curb space of the road where the information collection department is installed in the flex zone, the use case priority calculated by communicating with the information collection department through network communication technology is applied. By applying ranking, the most efficient use case can be assigned and used in terms of minimizing traffic delays through the optimal use case. In addition, road condition data can be constructed through the quantity of each object detected by the information collection department, and furthermore, convenient road operation is possible by analyzing user statistics and recording an operation log for each object using the stored road condition data.

In addition, the classification module, selection module, decision module, and analysis unit described later include ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), and FPGAs (field programmable devices). It may be implemented using at least one of gate arrays, controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

The modification module 260 uses the use cases of the flex zone classified in the classification module, the sequential time period of the selection module, and the priority determined in the decision module to be newly created in each individual control unit and the flex zone operation information stored in the database module. Automatically collects and analyzes operational information and performs machine learning by selecting one or more of Supervised Learning, Unsupervised Learning, or Reinforcement Learning. As it is performed, the use case classification is continuously revised and reclassified automatically, the sequential time period is readjusted, and the priority is redetermined according to the reclassified use cases.

The verification module 270 detects the presence or absence of errors in reclassified use cases modified by the correction module through machine learning, readjusted sequential time zones, or redetermined priorities through deep learning using big data.

In other words, the verification module reclassifies use cases through the modification module, readjusts the sequential time zone, and re-determines the priorities through text deep learning using big data, image deep learning through analysis graphs and vision information, and deep learning neural network (Deep learning). Running neural network) detects the presence of an error, and when an error is detected, reclassifies the use case in which the error occurred, readjusts the sequential time zone, and automatically corrects the re-determined priority to reclassify the use case and order. Re-adjust the time zone and re-create the re-determined priorities.

In this way, the presence or absence of errors is detected and automatically corrected through deep learning using big data, thereby promoting worker convenience and safety by continuously generating, modifying, and verifying data that matches the traffic situation or the relevant time and situation. Accidents can be prevented in advance, road utilization and user convenience can be maximized, and indirect costs and maintenance costs can be reduced.

The display module 280 converts data or results from the communication module, database module, classification module, selection module, decision module, correction module, and verification module into graphics, text, or images using a user graphic guidance program and displays them.

The display module and the output unit described later include a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display ( It may include at least one of a flexible display, a 3D display, and an e-ink display. In addition, although not necessarily limited to this, the display module and the output unit described later are formed in the form of a touch screen and can be installed in the housing, case, or one side of the integrated control unit and the individual control unit to display various function switches or buttons and various information. .

As shown in Figure 3, the individual control unit 300 of the flex zone operating system 1 according to the present invention includes an information collection unit 310, a transmitting and receiving unit 320, a memory unit 330, an analysis unit 340, and an output unit 350.

The information collection unit 310 is installed in each flex zone and detects the object 130 for each flex zone or flex zone placement unit.

The transmitting and receiving unit 320 communicates with the integrated control unit and the information collection unit through a network.

The memory unit 330 stores information collected from the information collection unit, information transmitted or received from the transmitting and receiving unit, and information for controlling use cases for each corresponding flex zone or corresponding flex zone deployment unit.

The analysis unit 340 automatically controls the use cases for each flex zone or each flex zone deployment unit based on information stored in the information collection unit, transmission/reception unit, and memory unit.

The output unit 350 outputs and displays the results of the information collection unit, transmission/reception unit, memory unit, and analysis unit.

As shown in FIGS. 3, 5, and 10, the analysis unit 340 of the individual control unit 300 of the flex zone operating system 1 according to the present invention includes an object detection unit 341 and an object classification unit 342. , a determination unit 343, a quantity accumulation unit 344, a calculation unit 345, and a comparison unit 346.

The object detection unit 341 detects the object 130 for each flex zone or each flex zone placement unit in real time through the information collection unit.

The objects detected through the object detector include at least one of shared autonomous vehicles, self-driving cars, general vehicles, pedestrians, urban air mobility, bicycles, and personal mobility.

The object classification unit 342 classifies the detected objects based on the detection results of the object detection unit and data stored in the memory unit to match the use case classification of the classification module.

The determination unit 343 determines the priority or specific use according to the priority of the decision module for each flex zone or each flex zone arrangement unit according to the detection result of the object detection unit, the data stored in the memory unit, and the classification result of the object classification unit. judge.

The quantity accumulation unit 344 adds up the quantity accumulation for each object according to the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, and the judgment result of the judgment unit.

The calculation unit 345 calculates the service level for each object in the mobility use case according to the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, the judgment result of the judgment unit, and the accumulated quantity for each object of the quantity accumulation unit. . The calculation unit calculates the service level for each object through a pre-stored calculation program or formula.

The comparison unit 346 compares the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, the judgment result of the judgment unit, the accumulated quantity for each object of the quantity accumulation unit, the calculation result of the calculation unit, whether a vehicle is included, and the type of vehicle. Select a use case.

The object detection unit and quantity accumulation unit automatically determine detected object information through image recognition using big data, and automatically perform quantity accumulation when additional objects are detected.

Accordingly, by improving the quality, reliability, and safety of object detection information and accumulated quantity, we ensure the convenience, accuracy, and speed of management for managers and users by considering both real-time road conditions and surrounding conditions in Flex Zone, and provide diverse object information. It can be utilized effectively to promote the development of road use and development plans.

The operating principle of the flex zone operating system according to the present invention will be described with reference to FIGS. 1 to 3 and FIGS. 5 to 12.

Information and scenarios about basic use cases and sequential time periods are created and stored in the database section of the integrated control unit and the classification module selection module.

In each integrated control unit, check whether the information collection unit is installed in the corresponding flex zone where the individual control unit for current operation control is installed.

When information about the installation of the information collection unit is received from the individual control unit to the integrated control unit, the selection module of the integrated control unit selects sequential and variable operation methods accordingly.

In other words, if the information collection unit is not installed from the individual control unit to the integrated control unit, the flex zone or use case placement unit of the flex zone is controlled according to the existing scenario or sequential time period stored in the scenario storage through sequential type.

If an information collection unit is installed from the individual control unit to the integrated control unit, the variable operation method is selected in the selection module, the information collection unit operates, and the object detection unit of the analysis unit detects objects in the flex zone or in the unit of use case batch for the flex zone. Perform.

In addition, at the same time, the individual control unit receives information about the priority decision of the decision module and classifies the objects detected through the object classification unit along with the use cases by the classification module in real time.

Afterwards, based on the information reclassified in real time through the object classification unit, it is determined whether there is a space designated for a specific use according to the priority of the judgment unit and decision module of the analysis unit. In other words, if a police car is identified as a result of the detection of the object detection unit, the flex zone or the use case deployment unit of the flex zone is operated by immediately applying the specific use case for the space designated for the current police car.

If an object corresponding to a space designated for a specific use is not detected, the service level for each object is calculated in the calculation unit according to the accumulated quantity.

If the service level for each object calculated through the calculation unit is higher than the standard, the corresponding transportation accessibility use case is first allocated through the decision module and comparison unit.

If the service level for each object is the same, it is again decided based on weight through priority in the transportation mobility use case.

Specifically, when the service level for each object is the same, it is judged based on whether a vehicle is included. In other words, if a vehicle is included among objects with the same service level for each object, it is determined whether the vehicle is public transportation.

If a vehicle is included among the objects and the vehicle of the object is public transportation, public transportation mobility is assigned. If a vehicle is included among the objects, if the vehicle of the object is not public transportation, autonomous vehicle mobility is assigned.

Likewise, if the service level for each object is the same and no vehicles are included, pedestrian mobility is assigned if the objects with the same service level for each object include pedestrians, and if the service level for each object is the same, pedestrian mobility is assigned. In this case, if pedestrians are not included among objects with the same object-specific service level, bicycle and PM mobility are assigned if bicycle and PM are included.

If the service level for each object is the same and vehicles are not included, and pedestrians are not included among objects with the same service level for each object, and bicycles and PMs are not included, air traffic mobility is assigned.

In addition, if advance notice of use of the relevant flex zone or the use case placement unit of the relevant flex zone is given, if leisure facilities or green spaces exist, the relevant use cases are allocated separately.

In this way, when operating the flex zone by selecting the variable type in the selection module and operating the curb space of the road section where the information collection department is installed in the flex zone, the use case priority calculated by communicating with the information collection department through network communication technology is applied. By applying ranking to allocate and use the most efficient use cases in terms of minimizing traffic delays through optimal use cases, road situation data can be constructed through the quantity of each object detected by the information collection department, and furthermore, the stored road situation data Convenient road operation is possible by analyzing user statistics and recording operation logs for each object.

In addition, the flex zone operating system according to the present invention operates when an operation command for each flex zone is transmitted from the integrated control unit through an individual control unit installed individually in each flex zone, or when an information collection unit is installed in each flex zone. By automatically changing and controlling the use cases of each individual flex zone selectively according to the quantity through object detection in the flex zone in real time through the information collection department, road use efficiency is maximized, traffic delays are minimized, and limited By selectively increasing the capacity of roads, which are resources, we reduce road installation and maintenance costs and time, prevent indirect costs and waste of resources, improve convenience for road users, prevent traffic accidents in advance, and It can prevent worker inconvenience and maximize satisfaction.

The flex zone operation method according to the present invention will be described with reference to FIGS. 4 to 12. As shown in Figure 4, the flex zone operation method according to the present invention includes an integrated operation information storage step (S1), a network connection step (S2), an individual operation information storage step (S3), a use case classification step (S4), and an operation step. Method selection step (S5), priority decision step (S6), object detection step (S7), object classification step (S8), judgment step (S9), quantity accumulation step (S10), calculation step (S11), use case It consists of a selection step (S12), a modification step (S13), a verification step (S14), and a display step (S15). In each step, the specific operating process, operating principle, configuration, and contents of the device are the same as the flex zone operating system in the specification of the present invention, and the following will focus on the unique features of the flex zone operating method with reference to FIGS. 4 to 12. .

Classify the use cases of the Flex Zone, a multi-purpose road installed in the curb space of the road, and select the operation method for each Flex Zone according to the real-time situation of the roads surrounding the Flex Zone and the Flex Zone, the current time, and regional traffic volume. Stores integrated operating information to manage and operate all Flex Zone use cases.

After the integrated operation information storage step (S1), the integrated control unit that manages and operates all flex zones in an integrated manner and one or more individual control units that individually control each flex zone are connected by wire or remotely through a network.

After the network connection step (S2), the information collected from the information collection department and individual operation information for individual operation of the use case for each flex zone or flex zone deployment unit are stored.

After the individual operation information storage step (S3), the use cases of each Flex Zone are classified according to the pre-stored data, integrated operation information, and individual operation information.

After the use case classification step (S4), the operation method is selected between sequential and variable types according to pre-stored data, integrated operation information and individual operation information, and whether or not the above information collection unit is installed in the relevant flex zone.

After the step of selecting the operation method between sequential and variable, the order is determined according to the pre-stored data, integrated operation information and individual operation information, the flex zone through the individual control unit, the situation for each deployment unit of the flex zone, and the selection result. When the type is selected, the use case is repeatedly changed in the following order: dawn time, commuting time, lunch time, afternoon time, work time, and late night time, and is controlled by the flex zone or the batch unit of the flex zone.

After the operation method selection step (S5), in the case where the variable type is selected according to the pre-stored data, integrated operation information and individual operation information, the flex zone through the individual control unit, the situation for each deployment unit of the flex zone, and the selection result, Determine the priorities of use cases.

After the priority determination step (S6), objects for each flex zone or flex zone placement unit are detected in real time.

After the object detection step (S7), the detected objects are classified to match the classified use cases through object detection results, pre-stored data, integrated operation information, and individual operation information.

After the object classification step (S8), the corresponding flex zone or corresponding flex zone according to the object detection result, pre-stored data, integrated operation information and individual operation information, and the result of object classification to match the classified use case. For each batch unit, the priority or specific use is determined to comply with the priorities determined through the decision stage.

After the judgment step (S9), the quantity of each object is determined according to the object detection result, pre-stored data, integrated operation information and individual operation information, the result of classifying the detected object to match the classified use case, and the judgment result. It accumulates.

After the quantity accumulation step (S10), object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, and quantity accumulation for each object Based on the results, the service level for each object of the use case is calculated.

After the calculation step (S11), object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, quantity accumulation results for each object, According to the service level calculation results for each object, the use case is selected by comparing the vehicle type and whether the use case includes a vehicle.

After the use case selection step (S12), the use cases of the flex zone classified in the classification step, the sequential time period in the selection step, and the priority determined in the decision step are combined with pre-stored data, integrated operation information, and each newly created By automatically collecting and analyzing individual operational information and performing machine learning by selecting one or more of supervised learning, unsupervised learning, or reinforcement learning, the use case classification is automatically modified and reclassified. , the time zone of the sequential type is readjusted and the priority is re-determined according to the reclassified use cases.

After the correction step (S13), the presence or absence of errors is detected through deep learning using big data in the reclassified use cases, readjusted sequential time periods, or redetermined priorities modified in the correction step through machine learning.

After the verification step (S14), object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match the classified use cases, judgment results, quantity accumulation results for each object, and service level calculation results for each object, use case selection results, modification results, and verification results are displayed.

The flex zone operation method according to the present invention classifies the use cases of the flex zone, which is a multi-purpose road installed in the curb space of the road, and selects an operation method for each flex zone, so that the roads around the flex zone and the flex zone are operated in real time. All flex zones are managed and operated in an integrated manner through the integrated control unit according to the situation, current time, and regional traffic volume, and each flex zone transmitted from the integrated control unit is operated through an individual control unit that is individually installed in each flex zone. When an information collection unit is installed in each flex zone, the use case of each individual flex zone is automatically changed and controlled selectively according to the quantity through real-time detection of objects in the flex zone through the information collection unit. Maximize usage efficiency and minimize traffic delays, reduce road installation and maintenance costs and time by selectively increasing the capacity of roads, which are limited resources, prevent indirect costs and waste of resources, and improve convenience for road users. traffic accidents can be improved, traffic accidents can be prevented, inconvenience to managers and workers can be prevented, and satisfaction can be maximized.

In addition, the information collection unit of the individual control unit of the flex zone operating system and operating method according to another preferred embodiment of the present invention includes a waterproof coating layer, and this waterproof coating layer is formed using a waterproof coating composition. Additionally, as another example, shrink film or vacuum film may be used. At this time, PP, PE, etc. are used as materials for shrink film and vacuum film.

The waterproof coating composition includes a silane compound represented by the following formula (1); bookbinder; inorganic particles; Contains surfactants and dispersants.

[Formula 1]

The binder is selected from the group consisting of acrylic binders, urethane binders, silicone binders, and mixtures thereof, and more specifically, silicone binders. More specifically, polyhydrosiloxane may be used as the binder, but is not limited to the above examples.

The surfactant is a betaine-based surfactant, and more specifically, alkylbetaine-based, amidebetaine-based, sulfobetaine-based, hydroxysulfobetaine-based, amidosulfobetaine-based, phosphobetaine-based and imidazolinium betaine-based. It may be selected from the group consisting of, but is not limited to the above examples.

The dispersant may be a known ingredient employed in the art as a dispersant for carbon-based filler. More specifically, polyester-based dispersant, polyphenylene ether-based dispersant, polyolefin-based dispersant, acrylonitrile-butadiene-styrene copolymer dispersant, polyarylate-based dispersant, polyamide-based dispersant, polyamidoimide-based dispersant, and polyaryl sulfone-based dispersant. Dispersant, polyetherimide-based dispersant, polyethersulfone-based dispersant, polyphenylene sulfide-based dispersant, polyimide-based dispersant; Polyether ketone-based dispersant, polybenzoxazole-based dispersant, polyoxadiazole-based dispersant, polybenzothiazole-based dispersant, polybenzimidazole-based dispersant, polypyridine-based dispersant, polytriazole-based dispersant, polypyrrolidine-based dispersant, polydibenzofuran It may be selected from the group consisting of dispersants based on polysulfone, polyurea-based dispersants, polyurethane-based dispersants, polyphosphazene-based dispersants, and mixtures thereof, but is not limited to the above examples.

The inorganic particles are selected from the group consisting of titanium sol, alumina sol, silica sol, and mixtures thereof. Preferably, a mixture of alumina sol and silica sol can be used, but is not limited to the above example.

More specifically, the coating composition includes a binder, and 30 to 50 parts by weight of a silane compound represented by the following formula (1), based on 100 parts by weight of the binder; 5 to 10 parts by weight of inorganic particles; It may contain 10 to 20 parts by weight of surfactant and 10 to 15 parts by weight of dispersant. When used within the above range, a waterproofing effect appears due to the mixing effect between the components of the coating composition, and when used below or exceeding the range, a problem may occur in which the waterproofing effect is impaired.

The waterproof coating composition can be used to form a waterproof coating layer using a spray coating method, and other known methods other than the spray coating method can be used to form a waterproof coating layer using the waterproof coating composition.

Accordingly, the information collection unit, which is always exposed to the outside of the road, maximizes waterproofness and prevents water from entering the inside of the information collection unit or the surface becoming wet, thereby preventing equipment failure or damage in advance, thereby reducing maintenance costs and time. It can improve the convenience and safety of workers and managers, increase lifespan, and maximize stability and reliability.

Additionally, the embodiments according to the present invention described above may be implemented in the form of program instructions that can be executed through various computer components and recorded on a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc., singly or in combination. Program instructions recorded on the computer-readable recording medium may be specially designed and configured for the present invention, or may be known and usable by those skilled in the computer software field. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, and magneto-optical media such as floptical disks. medium), and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions include not only machine language code such as that created by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. A hardware device can be converted into one or more software modules to perform processing according to the invention and vice versa.

The specific implementations described in the present invention are examples and do not limit the scope of the present invention in any way. For the sake of brevity of the specification, descriptions of conventional electronic components, control systems, software, and other functional aspects of the systems may be omitted. In addition, the connections or connection members of lines between components shown in the drawings exemplify functional connections and/or physical or circuit connections, and in actual devices, various functional connections or physical connections may be replaced or added. Can be represented as connections, or circuit connections. Additionally, if there is no specific mention such as “essential,” “important,” etc., it may not be a necessary component for the application of the present invention.

In addition, although the detailed description of the present invention has been described with reference to preferred embodiments of the present invention, those skilled in the art or those skilled in the art will understand the present invention as described in the patent claims to be described later. It will be understood that the present invention can be modified and changed in various ways without departing from the spirit and technical scope. Therefore, the technical scope of the present invention should not be limited to what is described in the detailed description of the specification, but should be defined by the scope of the patent claims.

1: Flexzone operating system
100: Flex zone
110: road
120: Use case batch unit
130: object
200: Integrated control unit
210: Communication module
220: database module
230: Classification module
240: selection module
250: decision module
260: Correction module
270: Verification module
280: display module
300: Individual control unit
310: Information Collection Department
320: Transmitter and receiver
330: memory unit
340: analysis department
350: output unit

Claims (19)

Classify the use cases of the Flex Zone, a multi-purpose road installed in the curb space of the road, and select the operation method for each Flex Zone according to the real-time situation of the roads surrounding the Flex Zone and the Flex Zone, the current time, and regional traffic volume. Integrated control department that integrates, manages and operates all Flex Zone use cases; and
It includes one or more individual control units that are individually installed in each corresponding flex zone, connected to the integrated control unit through a network, and individually controlling each corresponding flex zone;
Each of the individual control units operates according to the operation command of each corresponding flex zone transmitted from the integrated control unit or the quantity through object detection of the corresponding flex zone in real time through the information collection unit when an information collection unit is installed in each relevant flex zone. A flex zone operating system that selectively automatically changes the use case of each individual flex zone.
According to paragraph 1,
Each corresponding flex zone is divided into one or more use case batch units,
A flex zone operating system, wherein each of the individual control units changes and controls use cases collectively or selectively for each use case placement unit of each corresponding flex zone.
According to paragraph 2,
The integrated control unit,
A communication module that communicates with the individual control unit by wire or remotely through a network;
Data for integrated management and operation of use cases for each deployment unit of all flex zones according to the real-time situation of the roads surrounding the flex zone and the current time and regional traffic volume, as well as operation scenarios for each deployment unit of the flex zone and the above. a database module that stores individual operation feedback information for each batch unit of each corresponding flex zone transmitted from each individual control unit through a communication module and data transmitted in real time from the individual control unit;
a classification module that classifies the use cases of each flex zone according to the data stored in the database module;
a selection module that selects an operation method between sequential and variable types according to the data stored in the database module and whether or not the information collection unit is installed in the corresponding flex zone; and
A flex zone operating system comprising a decision module that determines priority according to the data stored in the database module, the flex zone through the individual control unit, and the situation for each deployment unit of the flex zone.
According to paragraph 3,
The integrated control unit,
The use cases of the flex zone classified in the classification module, the sequential time zone of the selection module, and the priority determined in the decision module are stored in the flex zone operation information stored in the database module and newly generated in each individual control unit. By automatically collecting and analyzing operational information and performing machine learning by selecting one or more of supervised learning, unsupervised learning, or reinforcement learning, the use case classification is automatically modified and reclassified. A flex zone operating system further comprising a correction module that readjusts the sequential time zone and re-determines the priority according to the reclassified use cases.
According to paragraph 4,
The integrated control unit,
A verification module that detects the presence or absence of errors in the reclassified use cases modified by the correction module through machine learning, the readjusted sequential time zone, or the redetermined priorities through deep learning using big data; further comprising; Flex zone operating system characterized by:
According to clause 5,
The integrated control unit,
A display module that converts data or results of the communication module, the database module, the classification module, the selection module, the decision module, the correction module, and the verification module into graphics, text, or images using a user graphic guidance program and displays them. A flex zone operating system further comprising ;.
According to paragraph 3,
The classification module categorizes major categories into transportation mobility, transportation accessibility, logistics accessibility, leisure facilities, green space, and space designated for specific purposes,
The transportation mobility is subcategorized into autonomous vehicle mobility, pedestrian mobility, bicycle and personal mobility mobility, and air transportation mobility,
The transportation accessibility is divided into shared autonomous vehicle boarding and disembarking areas, transferable areas, and short-term parking areas.
The logistics accessibility is a flex zone operating system characterized by subcategories into regular logistics, courier logistics, and city airport logistics.
According to paragraph 3,
The sequential type of the selection module is a flex zone operating system characterized in that the use case is repeatedly changed and controlled in the following order: dawn time zone, commute time zone, lunch time zone, afternoon time zone, work time zone, and late night time zone.
According to clause 6,
The database module is,
A basic data storage unit that stores basic data for integrated management and operation of use cases of all flex zones according to the real-time conditions of the roads surrounding the flex zone and the flex zone, and the current time and regional traffic volume;
a scenario storage unit that stores scenarios for each flex zone or each flex zone deployment unit according to the selection result of the selection module;
a feedback data storage unit that stores operational feedback information for each flex zone or flex zone deployment unit received from the individual control unit through the communication module; and
Data transmitted and received through the communication module, use case classification results by the classification module, selection results by the selection module, decision results by the decision module, modification results by the modification module, and verification results by the verification module. A flex zone operating system comprising a real-time data storage unit that stores real-time data. According to clause 6,
The individual control unit,
An information collection unit installed in each flex zone to detect objects for each flex zone or each flex zone placement unit;
a transmitting and receiving unit that communicates with the integrated control unit and the information collection unit through a network;
a memory unit storing information collected from the information collection unit, information transmitted or received from the transmitting/receiving unit, and information for controlling use cases for each corresponding flex zone or corresponding flex zone deployment unit;
an analysis unit that automatically controls use cases for each flex zone or each flex zone deployment unit based on information stored in the information collection unit, the transceiver unit, and the memory unit; and
Flex zone operating system comprising: an output unit that outputs the results of the information collection unit, the transceiver unit, the memory unit, and the analysis unit.
According to clause 10,
The analysis unit,
an object detection unit that detects objects for each flex zone or each flex zone placement unit in real time through the information collection unit;
an object classification unit that classifies the detected objects based on the detection results of the object detection unit and data stored in the memory unit to match the use case classification of the classification module;
According to the detection result of the object detection unit, the data stored in the memory unit, and the classification result of the object classification unit, the priority or specific use is determined to match the priority of the decision module for each flex zone or each flex zone arrangement unit. judgment department;
a quantity accumulation unit that adds up the quantity accumulation for each object according to the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, and the judgment result of the judgment unit;
A calculation unit that calculates a service level for each object of a use case according to the detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, the judgment result of the judgment unit, and the accumulated quantity of each object of the quantity accumulation unit. ; and
The detection result of the object detection unit, the data stored in the memory unit, the classification result of the object classification unit, the judgment result of the judgment unit, the accumulated quantity for each object of the quantity accumulation unit, the calculation result of the calculation unit, whether a vehicle is included, and the type of vehicle are compared. A flex zone operating system comprising a comparison unit that selects a use case.
According to clause 11,
The object detected through the object detector is a flex zone operating system, characterized in that it includes at least one of a shared autonomous vehicle, an autonomous vehicle, a general vehicle, a pedestrian, an urban air mobility, a bicycle, or a personal mobility.
According to clause 11,
The flex zone operating system is characterized in that the object detection unit and the quantity accumulation unit automatically determine object information detected through image recognition using big data and automatically perform quantity accumulation when additional detection is performed.
According to paragraph 2,
A flex zone operating system in which one use case deployment unit is formed with a straight line length of 6 m or more and 20 m or less.
Classify the use cases of the Flex Zone, a multi-purpose road installed in the curb space of the road, and select the operation method for each Flex Zone according to the real-time situation of the roads surrounding the Flex Zone and the Flex Zone, the current time, and regional traffic volume. A step of storing integrated operation information for integrated management and operation of use cases of all Flex Zones;
Connecting, by wire or remotely, an integrated control unit that integrates, manages and operates all flex zones, and one or more individual control units that individually control each corresponding flex zone, through a network;
Storing information collected from the information collection unit and individual operation information for individual operation of use cases for each flex zone or flex zone deployment unit;
Classifying use cases of each flex zone according to pre-stored data, integrated operation information, and individual operation information;
Selecting an operation method from sequential type and variable type according to pre-stored data, integrated operation information and individual operation information, and whether or not the information collection unit is installed in the corresponding flex zone;
Pre-stored data, integrated operation information and individual operation information, the flex zone through the individual control unit, the situation for each deployment unit of the flex zone, and determining the priority of the use case when variable type is selected according to the selection result. ;
Detecting objects in the flex zone or in each flex zone placement unit in real time;
Classifying the detected objects to match the classified use cases through object detection results, pre-stored data, integrated operation information, and individual operation information;
Priority determined through a decision step for each flex zone or each flex zone deployment unit according to the object detection results, pre-stored data, integrated operation information and individual operation information, and the results of classifying the detected objects to match the classified use cases. determining priorities or specific uses to match the rankings;
Accumulating the quantity for each object according to the object detection result, pre-stored data, integrated operation information and individual operation information, the result of classifying the detected object to match the classified use case, and the judgment result;
Service for each object in the use case according to object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, and cumulative quantity results for each object. calculating the level; and
Object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, quantity accumulation results for each object, and service level calculation results for each object A flex zone operation method comprising the step of selecting a use case by comparing the vehicle type and whether or not the vehicle is included in the use case.
According to clause 15,
After selecting the operation method between the sequential type and the variable type,
Pre-stored data, integrated operation information and individual operation information, the flex zone through the individual control unit and the situation for each deployment unit of the flex zone, and when selected sequentially according to the selection result, early morning, rush hour, and lunch hour. , A flex zone operation method characterized in that the use cases are repeatedly changed in the order of afternoon time zone, work time zone, and late night time zone and controlled by the flex zone or the deployment unit of the flex zone.
According to clause 16,
After selecting the use case,
Automatically collects and analyzes pre-stored data, integrated operation information, and each newly created individual operation information using the use cases of the Flex Zone classified in the classification stage, the sequential time period in the selection stage, and the priorities determined in the decision stage. As machine learning is performed by selecting one or more of supervised learning, unsupervised learning, or reinforcement learning, the use case classification is automatically modified and reclassified, and the time period of the above-mentioned sequential type is readjusted, A flex zone operation method further comprising a modification step of re-determining priorities according to reclassified use cases.
According to clause 17,
After the above modification steps,
Detecting the presence or absence of an error in the reclassified use case modified in the correction step through machine learning, the readjusted sequential time period, or the redetermined priority through deep learning using big data; characterized by further comprising: How to operate a flex zone. According to clause 18,
After the above verification step,
Object detection results, pre-stored data, integrated operation information and individual operation information, object classification results to match detected objects to classified use cases, judgment results, quantity accumulation results for each object, and service level calculation results for each object, A flex zone operation method further comprising the step of displaying use case selection results, modification results, and verification results.