WO2021085771A1 - Système de commande de signal de trafic hybride et procédé associé - Google Patents

Système de commande de signal de trafic hybride et procédé associé Download PDF

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Publication number
WO2021085771A1
WO2021085771A1 PCT/KR2020/006040 KR2020006040W WO2021085771A1 WO 2021085771 A1 WO2021085771 A1 WO 2021085771A1 KR 2020006040 W KR2020006040 W KR 2020006040W WO 2021085771 A1 WO2021085771 A1 WO 2021085771A1
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Prior art keywords
traffic
information
data
road
signal control
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PCT/KR2020/006040
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English (en)
Korean (ko)
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김익래
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김익래
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/075—Ramp control
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/095—Traffic lights
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously

Definitions

  • the present invention relates to a hybrid traffic signal control system and method thereof. More specifically, in controlling the traffic signals installed on roads in the first zone set in a predetermined range, the vehicle driving information terminals of vehicles running on the roads in the first zone or waiting for a signal such as a traffic signal are transmitted. By collecting vehicle driving information, calculating traffic volume information of each road, calculating traffic volume correlation between roads in the first zone, based on the calculated traffic volume of each road in the first zone and traffic volume correlation between each road.
  • the present invention relates to a hybrid traffic signal control system and method for controlling the blinking period and blinking time of pedestrian traffic lights and vehicle traffic lights of each road in the first zone by generating traffic signal control data.
  • Traffic lights installed on roads such as urban roads, general national highways, and local roads are operated so that green, yellow, red, and direction indicators flash in accordance with a preset control command.
  • the operator can directly manipulate traffic lights at the site, or if the vehicle is sensed and sent information by using a vehicle detector or a camera image, the operator operates remotely at the control center.
  • Devices capable of collecting various traffic information are installed on such urban roads, general national highways, and local roads, and statistics are provided by collecting location information and operation information of the vehicle itself.
  • traffic-related big data for traffic signal control is insignificant.
  • research on traffic-related big data and artificial intelligence traffic control-related inventions using them are being actively conducted.
  • the disclosed invention (1) is installed independently of the main control device of a traffic signal to detect the turn-off of each vehicle traffic light and determine the presence or absence of vehicles waiting for the traffic light and the number of vehicles to determine the presence or absence of a vehicle and to determine the number of vehicles. It relates to an artificial intelligence vehicle traffic light control device that controls the turn on and off of the corresponding green or left-turn vehicle traffic lights and red vehicle traffic lights, and is independently installed to enable data transmission and reception with the main control device of the traffic signal and vehicle traffic lights, and roads with vehicle traffic lights.
  • a traffic signal display board (traffic light) is produced as an LED electric sign to display traffic signals for the vehicle and various traffic information that is helpful for the driver's vehicle operation. It acquires real-time images of the roads of the far distance to be connected and transmits them to the traffic signal central server connected through the communication network, and analyzes the real-time image signals received at each intersection with artificial intelligence algorithms and big data to connect the intersections and intersections at the current location.
  • the traffic signal for the intersection at the current location can be controlled according to the traffic conditions of the lane and the adjacent intersection connected to the intersection. Traffic signals and traffic on the LED panel by displaying vehicle operation control signals and major notifications, and by controlling traffic signals and traffic information, and video modules that are connected to camera means to receive video signals transmitted from each camera means.
  • a traffic signal and traffic information control module that displays information, a communication module connected to a communication network, and the image module, the traffic signal control module, and the communication module, respectively, are electrically connected to each other, and the image signal received from the image module is transmitted to the communication module.
  • At least one traffic signal display panel including a control unit for controlling the display of traffic signals and traffic information according to the traffic signal control signals and traffic information transmitted through the communication module and received through the communication module; It is installed on the upper surface of the traffic signal display plate, the upper part of the signal installation stand, and on a building or structure capable of monitoring the driving condition of a long distance vehicle, and the traffic conditions of the lane, intersection, and long distance lanes connected to the intersection are monitored in real time
  • a plurality of camera means for photographing and transmitting the video signal Big data that is connected to the control unit of the traffic signal display panel through a communication network, registers the traffic signal display panel, stores image signals received from the registered traffic signal display panel, and at the same time receives, receives, and accumulates image information
  • a traffic signal central server that analyzes the data and transmits the traffic signal control signal and traffic information to the traffic signal display panel based on the analysis result; The traffic signal central server is connected to the traffic signal central server through a communication network, and based on the big data analysis result received from the traffic
  • the traffic signal central server analyzes the image information received from the traffic signal display board installed at each intersection through big data, and based on the analyzed traffic condition analysis result, the optimal traffic signal control command for each traffic signal display board. It is an invention of an intersection traffic signal system that controls vehicle operation at intersections operated by Internet of Things, artificial intelligence, and big data, characterized in that the traffic conditions of neighboring intersections are optimally operated by transmitting signals.
  • the disclosed invention (1) is an image detector installed independently of the main control device of the traffic signal, and detects the turn-off of each vehicle traffic light and determines the presence of vehicles and the number of vehicles waiting for the traffic lights to determine the presence or absence of vehicles and the number of vehicles. Accordingly, as an invention to control the lighting of traffic signals, video detectors should be installed in all places where traffic signals are installed, and it is possible to receive and process the detection data of video detectors in a certain sized area, but the area is extended to the entire metropolitan area. If so, there is a problem in that there is a limitation in processing cost and processing speed, and there is a problem in that it is impossible to control the installation place of a traffic signal without an image detector.
  • the disclosed invention (2) acquires real-time images of the intersection of the current location and the situation of the far-distance lane connected to the intersection and transmits it to a traffic signal central server connected through a communication network, and artificially generates real-time image signals received at each intersection.
  • a traffic signal central server connected through a communication network
  • real-time image signals received at each intersection As an invention for controlling the traffic signal for the intersection at the current location according to the traffic conditions of the intersection at the current location, the lane connected to the intersection, and the adjacent intersection connected to the intersection by analyzing with intelligent algorithm and big data. It has the problem of 1) as it is.
  • vehicle driving transmitted from the vehicle driving information terminal of vehicles running on the roads in the first zone or waiting for a signal such as a traffic signal The traffic signal is based on the calculated traffic volume of each road in the first zone and the traffic volume correlation between the roads by collecting information to calculate traffic volume information of each road and calculating the traffic volume correlation between roads in the first zone.
  • control data By generating control data, by controlling the blinking period and blinking time of pedestrian traffic lights and vehicle traffic lights of each road in the first zone, real-time vehicle driving information data and traffic information data of past vehicle driving information data are used to create traffic signals.
  • the present invention is to solve the problem of the prior art, and a first object of the present invention is to control traffic signals installed on roads in a first zone set in a predetermined range,
  • traffic volume information of each road is calculated, traffic volume correlation between roads in the first zone is calculated, and the first zone Hybrid traffic signal control that generates traffic signal control data based on the calculated traffic volume of each road and the traffic volume correlation between each road in the first zone to control the flashing period and flashing time of pedestrian traffic lights and vehicle traffic lights of each road in the first zone.
  • a second object of the present invention is to control traffic signals installed on roads in a first zone set within a predetermined range of the first object of the present invention.
  • traffic volume information of each road is calculated, traffic volume correlation information between roads in the first zone is calculated, and each road in the first zone
  • the current traffic signal control data is generated based on the calculated traffic volume and the traffic volume correlation between each road, and the traffic volume information of each road is calculated from the stored vehicle driving information of the roads in the first zone, and the first
  • the traffic volume correlation information between roads in the zone extracting past traffic signal control data based on the calculated traffic volume of each road in the first zone and the traffic volume correlation between each road, and the past traffic signal control data And, based on the similarity and dissimilarity information of the current traffic signal control data, learning to generate traffic signal control data in an optimal condition in the present or in the future is performed, and the current or future traffic signal control data is obtained based on the learning result.
  • the third object of the present invention is to set the second to nth zones (n is an integer) set around the first zone of the second object of the present invention, and the current roads included in each zone
  • the future traffic signal control data is generated by generating current or future traffic signal control data of the roads in the first zone, and the traffic volume correlation between the first zone to the n-th zone is calculated, and the calculated Based on the traffic volume correlation, weights to be applied to roads in the first to n-th areas are calculated, and the weights are applied to the current or future traffic signal control data of roads included in each area.
  • a hybrid traffic signal control system and method for generating weighted traffic signal control data of and controlling the blinking period and blinking time of pedestrian traffic lights and vehicle traffic lights of each road in the first to n-th areas are provided.
  • a fourth object of the present invention is to perform the control of traffic signals installed on roads in urban areas by dividing roads in which exclusive bus lanes are operated and roads in which exclusive bus lanes are not operated.
  • Roads are roads in which the traffic volume and running speed of the corresponding road are calculated based on the bus arrival time information installed at each bus stop, and each traffic signal installed on the road is controlled based on the calculated information, and the bus lane is operated.
  • a fifth object of the present invention is to control a traffic signal installed on a road in an urban area.
  • a predetermined range of areas including a plurality of roads connected to the road centered on the road used for the fourth object of the present invention Is set, and traffic signal control for each road existing in the area is performed in the state described in the fourth object of the present invention, but by calculating the mutual traffic volume correlation of the roads connected to each road as data, each of the areas It is to provide a hybrid traffic signal control system and method for controlling traffic signals of roads in the area by applying to the roads of
  • a sixth object of the present invention is to calculate the traffic signal control information of a zone in an urban area of the fifth object of the present invention and the mutual traffic influence of at least one zone adjacent to the zone as data, and to each road in each zone. It is to provide a hybrid traffic signal control system and method for controlling traffic signals of roads in the entire area by applying.
  • a seventh object of the present invention is to install traffic signals installed on various types of roads such as straight roads, access roads, branch roads, and intersections, and the traffic volume and traffic speed by month, day of the week, daily and time slots of the corresponding road
  • the traffic condition simulation information of the corresponding road generated based on the data and the traffic detector installed on the corresponding road or the corresponding road generated based on real-time driving information data of monthly, day of the week, daily, time of day, and weather conditions of the vehicle being driven. It is to provide a hybrid traffic signal control system and method for controlling traffic signals of a corresponding road by generating current and future traffic situation information of a corresponding road based on traffic situation simulation information.
  • An eighth object of the present invention is to install traffic signals installed on various types of roads such as straight roads, access roads, branch roads, and intersections, and are connected to the road around the road used for the seventh purpose of the present invention.
  • a predetermined range of areas including a plurality of roads are set, and traffic signal control for each road existing in the area is performed in the state described in the seventh object of the present invention. It is to provide a hybrid traffic signal control system and method for controlling traffic signals of roads in the area by calculating the traffic volume correlation as data and applying it to each road in the area.
  • the ninth object of the present invention is applied to each road in each zone by calculating the traffic signal control information of the zone of the fifth object of the present invention and the mutual traffic volume correlation of at least one zone adjacent to the zone as data.
  • it is to provide a hybrid traffic signal control system and method for controlling traffic signals of roads in the entire area.
  • a vehicle driving information terminal of a vehicle driving on a road or a vehicle waiting for a signal generates and transmits vehicle driving information, and the vehicle driving information
  • a real-time vehicle driving information collection unit that collects and stores the vehicle driving information transmitted from the terminal in real time, and the real-time vehicle driving information collected by the real-time vehicle driving information collection unit is provided as real-time traffic information data to model real-time traffic volume of the road.
  • a traffic control operation computer including a real-time traffic information simulation unit and a past traffic information simulation unit for modeling the past traffic volume of the corresponding road by receiving past vehicle driving information stored on the corresponding road as past traffic information data;
  • a traffic information data storage computer for storing real-time vehicle driving information collected by the real-time vehicle driving information collection unit or vehicle driving information collected in the past;
  • a cloud computing system for storing and managing real-time vehicle driving information collected by the real-time vehicle driving information collection unit or vehicle driving information collected in the past;
  • a traffic data platform management computer for receiving past vehicle driving information including real-time vehicle driving information from the cloud computing system and providing it to an application (past traffic information simulation unit) as traffic information data through classification and analysis;
  • a model similarity analysis unit that fetches past traffic information simulation information from the past traffic information simulation unit and real-time traffic information simulation information from the real-time traffic information simulation unit, analyzes and provides the similarity in two traffic information models, and analyzes the model similarity.
  • Traffic signal control that generates traffic signal control data of a target road based on the result of the optimal control condition learning unit, and an optimal control condition learning unit that learns the optimum conditions for traffic control by using the similarity and dissimilarity data analyzed by the unit.
  • An artificial intelligence computer including a data generation unit;
  • a hybrid traffic signal control system comprising a traffic signal control computer connected to the artificial intelligence computer, receiving the traffic signal control data, converting it into a traffic signal control signal, and controlling each traffic signal controller installed on the target road. Is presented.
  • a plurality of road traffic detectors from various types of past traffic information data and at least one real-time traffic detection data management computer collected based on various information for a certain period in the past by at least one traffic information computer unit At least one traffic information system that collects and classifies real-time traffic detection data collected from the at least one traffic information data storage computer;
  • a vehicle driving information app management system including at least one vehicle driving app management computer unit for receiving and storing vehicle driving information data collected by a vehicle driving information generating terminal in a vehicle running on the road;
  • a traffic information data collection unit that collects past traffic information data and real-time traffic detection data from the traffic information system, and real-time traffic detection data from the real-time traffic detection data management computer unit of the traffic information system and the vehicle driving information app management system.
  • a real-time traffic information data collection unit that collects real-time vehicle driving information data from the vehicle driving app management computer unit, a real-time traffic information simulation unit that analyzes the real-time traffic information data to perform real-time vehicle driving modeling, and the analyzed past traffic.
  • a traffic control operation computer including a big data traffic information simulation unit that performs vehicle driving modeling in the past based on big data consisting of information data;
  • a cloud computing system connected to the traffic control operation computer to store the past traffic information data and real-time traffic information data, respectively; Big data that accesses the cloud computing system and retrieves the stored past traffic information data and real-time traffic information data, analyzes traffic information big data, and provides the analyzed big data to the traffic information big data simulation unit of the traffic control operation computer.
  • a data platform management computer A model similarity analysis unit that fetches traffic information big data simulation information from the traffic information big data simulation unit and real-time traffic information simulation information from the real-time traffic information simulation unit and analyzes and provides the similarity in two traffic models, and the model similarity
  • An optimal control condition learning unit that learns the optimal conditions for traffic control by using the similarity and dissimilarity data analyzed by the analysis unit, and a traffic signal that generates traffic signal control data of the target road based on the result of the optimal control condition learning unit.
  • An artificial intelligence computer including a control data generator;
  • a hybrid traffic signal control system comprising a traffic signal control computer connected to the artificial intelligence computer, receiving the traffic signal control data, converting it into a traffic signal control signal, and controlling each traffic signal controller installed on the target road. Is presented.
  • At least one bus traffic information management computer that collects various types of bus information for a certain period of time from bus information terminals installed in buses of various routes in the city, stores it in bus information data, and manages it.
  • Bus information management system including at least one real-time bus information management computer unit that collects and manages real-time bus information including current location information of a running bus from bus information terminals installed in buses on various routes of Buwa and the city. and;
  • a bus information big data collection unit that collects past bus information data and real-time bus information data from the bus information management system, and real-time bus information that collects real-time bus information data from the real-time bus information management management computer unit of the bus information management system.
  • a data collection unit a real-time bus information simulation unit that analyzes the real-time bus information data to perform real-time bus driving modeling, and bus information that performs the bus driving modeling in the past based on big data consisting of the analyzed historical bus information data.
  • a traffic control operation computer including a big data simulation unit;
  • a cloud computing system connected to the traffic control operation computer to store the past bus information data and real-time bus information data, respectively; By accessing the cloud computing system, the bus information big data including the past traffic information data and real-time traffic information data are imported, the bus information big data is analyzed, and the analyzed bus information big data is stored in the traffic control operation computer.
  • a big data platform management computer provided to the bus information big data simulation unit;
  • a model similarity analysis unit that fetches past bus information simulation information from the traffic information big data simulation unit and real-time bus information simulation information from the real-time bus information simulation unit and analyzes and provides the similarity in two bus operation models, and the model similarity
  • An optimal control condition learning unit that learns the optimal conditions for traffic control by using the similarity and dissimilarity data analyzed by the analysis unit, and a traffic signal that generates traffic signal control data of the target road based on the result of the optimal control condition learning unit.
  • An artificial intelligence computer including a control data generator;
  • a hybrid traffic signal control system comprising a traffic signal control computer connected to the artificial intelligence computer, receiving the traffic signal control data, converting it into a traffic signal control signal, and controlling each traffic signal controller installed on the target road. Is presented.
  • the traffic control operation computer comprises the steps of collecting vehicle driving information transmitted from a vehicle running on a road or waiting for a signal; Receiving the vehicle driving information as real-time traffic information data by a real-time traffic information simulation unit of the traffic control operating computer and performing real-time traffic information modeling including real-time traffic volume and traffic speed of the road;
  • the past traffic information simulation unit of the traffic control operation computer receives past vehicle driving information stored on the road as past traffic information data and modeling past traffic information including the past traffic volume and traffic speed of the road; and ; Analyzing, by the traffic control operation computer, similarities and dissimilarities between the past traffic information modeling information and the real-time traffic information modeling information; Learning traffic signal control conditions based on similarity and dissimilarity information analyzed by the traffic control operation computer; Generating, by the traffic control operation computer, the traffic signal control data of the road by using the learning result of the traffic signal control condition and transmitting it to the traffic signal control computer;
  • a hybrid traffic signal control method comprising the step of controlling a traffic signal installed
  • a bus information management computer that collects and manages operation information of buses running in urban areas, and receives bus operation information from the bus information management computer, and sends the traffic signal of the road to the traffic signal control computer.
  • the bus information management computer A step of preparing discriminated information of bus identification information running on a road in which a dedicated bus lane is operated in an urban area and bus identification information running on a road in which the exclusive bus lane is not operated;
  • the bus information management computer receives the location information of the buses transmitted from the buses of each route running on the road where the exclusive bus lane is not operated in real time or periodically, and is linked with each bus identification information, and the location information data of the corresponding bus.
  • a bus information management computer that collects and manages operation information of buses running in urban areas, and receives bus operation information from the bus information management computer, and sends traffic signals of roads to the traffic signal control computer.
  • a traffic control operation computer for controlling the traffic signal by providing control data and transmitting the traffic signal control computer to traffic signal controllers of the first road
  • the bus information management computer receives the location information of buses transmitted from buses running on the first road in which the exclusive bus lane is not operated in real time or periodically, and is linked with each bus identification information to provide the location information of the corresponding bus.
  • Storing the data c) transmitting and storing the location information data of the corresponding bus associated with each bus identification information at the same time as the bus information management computer is stored or stored to a cloud computing system; d) The traffic control operation computer receives the location information data of the corresponding bus linked to the respective bus identification information from the cloud computing system and calculates the operating speed of the corresponding bus based on real-time or periodic location information of the corresponding bus.
  • Step and; g) the traffic control operation computer fetching information on a predetermined range of first zones including a plurality of (second to n-th) peripheral roads connected to the first road; By performing the steps a) to f) on the roads in the information of the first zone, the flashing period and time of the pedestrian traffic lights and the vehicle traffic lights of the second to n-th roads in the information of the first zone are determined by traffic congestion. Generating traffic signal control data capable of minimizing each; h) The traffic control operation computer is stored in each of the first to nth roads by analyzing information on the mutual influence of the traffic conditions of each road in the first zone including the past first to nth roads.
  • a hybrid traffic signal comprising the step of controlling, by the traffic signal controllers, the blinking period and time of each pedestrian traffic light and vehicle traffic light by receiving the first weighted traffic signal control data or the converted first weighted traffic signal control signal.
  • a bus information management computer that collects and manages the operation information of buses running in the city, receives the bus operation information from the bus information management computer, and sends the traffic signal of the road to the traffic signal control computer.
  • the traffic control operation computer fetching information on the first to n-th areas in a predetermined range including each road in the city; n) the traffic control operation computer performs the steps a) to i) for each of the first to n-th zones, and each zone included in each of the first to n-th zones Generating first weighted traffic signal control data to be applied to the road; o) Analyzing the information on the mutual influence of the traffic conditions of each road included in the past 1st to nth zones where the traffic control operation computer is stored and applied to each of the 1st to nth zones Calculating a second weight to be performed; p) The traffic control operation computer applies the second weight to each of the first augmented traffic signal control data generated for each road in the first to n-th zones to apply the second weighted traffic signal control data to each zone
  • a traffic control operation computer for performing current or future traffic signal control by collecting past vehicle traffic information and real-time traffic information of a road;
  • a traffic information computer that provides past vehicle traffic information and traffic big data information of a real-time traffic inspection device to the traffic control operation computer;
  • a vehicle driving app management computer receiving real-time vehicle driving data information from a vehicle driving information terminal in the vehicle being driven and providing it to the traffic control operation computer;
  • a cloud computing system for receiving and storing the traffic big data and real-time vehicle driving data and responding to a request of each system;
  • a big data platform management computer that retrieves and analyzes traffic big data from the cloud computing system and provides it to each application, and a traffic information computer provided to the traffic control operation computer; Traffic information big data simulation and real-time traffic information simulation generated by the vehicle driving information terminal in the driving vehicle are imported, and the similarity of the two simulation models is analyzed, based on this, the optimal control conditions are learned, and the optimized road traffic is optimized as a result of the learning.
  • the traffic control operation computer fetches traffic information big data analyzed from the big data platform management computer and models traffic information to create a traffic information big data simulation, and fetches real-time traffic information data from the cloud computing system to model real-time traffic information.
  • Generating a real-time traffic information simulation The artificial intelligence computer taking the traffic information big data simulation and the real-time traffic information simulation and analyzing the similarity of the models in the two traffic information simulations; Learning, by the artificial intelligence computer, an optimal condition for traffic control based on the two model similarity information and dissimilarity information analyzed; Generating, by the artificial intelligence computer, the learned traffic control optimal control condition and applying it to road information and traffic signal information of a control target road, and transmitting the traffic signal control data to the traffic signal control computer; Hybrid traffic comprising the step of transmitting the traffic signal control data received by the traffic signal control computer or the traffic signal control signal converted from the traffic signal control signal to each traffic signal controller of the road to control the blinking period and time of each pedestrian traffic light and vehicle traffic light.
  • the signal control method is presented.
  • As a ninth aspect of the present invention it is possible to control a traffic signal in an urban area by combining the traffic signal control method of the eighth aspect of the present invention and the traffic signal control method of any one of the fifth to seventh aspects of the present invention.
  • a characteristic hybrid traffic signal control method is presented.
  • a traffic detection means such as a separate camera for traffic signal control of a road.
  • Real-time vehicle driving information of the transmitted vehicle is collected, traffic volume and traffic speed of the road are extracted to generate real-time traffic telegram modeling of the corresponding road, and past traffic information is modeled using the past vehicle driving information of the corresponding road that has been accumulated and stored so far.
  • the city department uses bus information, a public transport, to control real-time traffic signals, and in areas or roads where bus information is not available, traffic information data for a certain period of the area or road and real-time vehicle driving of drivers It is possible to control traffic signals by deriving an optimal simulation using the information, and divide the zone where real-time bus information data can be collected and the zone where real-time vehicle driving information and past traffic data can be collected. Traffic signals can be controlled under optimal conditions, and thus, there is an effect of preventing a vulnerable area from occurring in relation to traffic signal control.
  • FIG. 1 is a schematic configuration diagram of an embodiment of a hybrid traffic signal control system of the present invention.
  • FIG. 2 is a schematic configuration diagram of another embodiment of the hybrid traffic signal control system of the present invention.
  • FIG. 3 is a schematic configuration diagram of another embodiment of the hybrid traffic signal control system of the present invention.
  • FIGS. 2 and 3 are schematic configuration diagrams of an embodiment of a big data platform computer, which is a main part of an embodiment of the hybrid traffic signal control system of the present invention of FIGS. 2 and 3.
  • FIG 5 is an explanatory diagram of an application example of traffic signal control data generated in an embodiment of the hybrid traffic signal control system of the present invention.
  • FIG. 6 is a chart showing the traffic volume of public transportation for each day of the week in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • FIG. 7 is an example of a chart showing the purpose of public transportation traffic by day of the week in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • FIG. 8 is an example of a chart showing the traffic volume of public transportation means by time slot in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • FIG. 9 is an example of a chart showing the speed of public transportation for each day of the week in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • FIG. 10 is a flowchart illustrating an embodiment of a hybrid traffic signal control method according to the present invention.
  • FIG. 11 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • FIG. 12 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • FIG. 13 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • FIG. 14 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • a traffic data collection unit that collects past traffic information data from a traffic information system, and a real-time traffic information data collection unit that collects real-time vehicle driving information data from the vehicle driving app management computer unit of the vehicle driving information app management system.
  • a traffic control operation computer including a traffic information simulation unit that analyzes the past traffic information data and real-time traffic information data to perform traffic information modeling;
  • a model similarity analysis unit that takes the simulation information of the past traffic information data and the simulation information of the real-time traffic information data from the traffic information simulation unit and analyzes and provides the similarity between two traffic models, and the model similarity analysis unit analyzes it.
  • It includes an artificial intelligence computer including a traffic signal control data generator that extracts the condition value of traffic control using the similarity and dissimilarity data and generates traffic signal control data of the target road based on the extracted condition value of traffic control.
  • a traffic signal control data generator that extracts the condition value of traffic control using the similarity and dissimilarity data and generates traffic signal control data of the target road based on the extracted condition value of traffic control.
  • Various computers and terminals used in the present invention may be configured with hardware itself, or may be configured with a computer program, a web program, or a cloud computing program that utilizes the hardware resources.
  • the traffic control operating computer, artificial intelligence computer, big data platform management computer, etc. of the present invention may be composed of hardware included in each computer, and computer programs and web programs that are executed using hardware resources of each computer Alternatively, it may be made of a cloud computing program.
  • ⁇ computer unit may be described as including at least one computer.
  • real time ⁇ may be used in a sense including a delayed time during simultaneous or data processing and transmission/reception time.
  • each computer, each system, or terminal is separately illustrated and described for convenience of description of the embodiment of the present invention, and is not limited thereto, and some configurations may be included in other configurations.
  • one component may be further separated.
  • FIG. 1 is a schematic configuration diagram of an embodiment of a hybrid traffic signal control system of the present invention.
  • the hybrid traffic signal control system of the present invention is a traffic control dedicated navigation system that is located in a vehicle running on a road or a vehicle waiting for a signal and displays vehicle driving information such as driving destination, route, and location information of the vehicle.
  • a vehicle driving information collection unit 110 and a real-time traffic information simulation unit 120 that receives real-time vehicle driving information collected by the real-time vehicle driving information collection unit 110 as real-time traffic information data and models real-time traffic volume of a road.
  • a traffic control operation computer 100 including a past traffic information simulation unit 130 for modeling the past traffic volume of the road by receiving the stored past vehicle driving information about the road as past traffic information data and ;
  • a traffic information data storage computer 200 for storing real-time vehicle driving information collected by the real-time vehicle driving information collection unit 110 or past vehicle driving information collected in the past;
  • a cloud computing system 400 for storing and managing real-time vehicle driving information collected by the real-time vehicle driving information collection unit 110 or past vehicle driving information collected in the past;
  • Traffic data platform management computer 500 for receiving past vehicle driving information including real-time vehicle driving information from the cloud computing system 400 and providing it to an application (past traffic information simulation unit) as traffic information data through classification and analysis, etc. )Wow;
  • a model similarity analysis unit that fetches the past traffic information simulation information from the past traffic information simulation unit 130 and the real-time traffic information simulation information from the real-time traffic information simulation unit 120 and analyzes the similarity between the two traffic information models.
  • the control condition learning unit 620 for learning the optimum conditions for traffic control by using the similarity and dissimilarity data analyzed by the model similarity analysis unit 610, and the control condition learning unit 620
  • An artificial intelligence computer 600 including a traffic signal control data generator 630 for generating traffic signal control data of a target road based on the result value;
  • Traffic signal control computer 700 that is connected to the artificial intelligence computer 600, receives the traffic signal control data, converts it into a traffic signal control signal, and controls each traffic signal controller 800 installed on the target road. ).
  • the first vehicle driving information terminal 310 includes a portable terminal such as a smartphone, and the vehicle driving information generated by a traffic control dedicated navigation application program executed is collected in real time vehicle driving information of the traffic control operating computer 100. It can be configured to be transmitted directly to the unit 110.
  • the second vehicle driving information terminal 320 includes a portable terminal such as a smart phone, and the real-time vehicle driving information generated by a general navigation application program executed is transmitted to the vehicle driving app information management computer 330, and the traffic
  • the real-time vehicle driving information collection unit 110 of the control operation computer 100 may be configured to access the vehicle driving app information management computer 330 to collect real-time vehicle driving information.
  • the data used by the past traffic information simulation unit 130 to model the traffic information of the catalog is past traffic information data collected and stored by the real-time vehicle driving information collection unit 110 from the real-time vehicle information providing unit 300 In addition, it may be other traffic information data accumulated on the corresponding road.
  • FIG. 2 is a schematic configuration diagram of another embodiment of the hybrid traffic signal control system of the present invention.
  • the hybrid traffic signal control system of the present invention includes various types of past traffic information data collected based on various information for a certain period in the past by at least one traffic information computer unit 2100, 2300, and At least one real-time traffic detection data management computer unit 2600 stores the real-time traffic detection data collected from a plurality of road traffic detectors 2500 in at least one traffic information data storage computer 2200, 2400 Traffic information system (2000);
  • Vehicle driving information app management system 3000 comprising at least one vehicle driving app management computer unit 3200 for receiving and storing vehicle driving information data collected by the vehicle driving information generating terminal 3100 in a vehicle running on the road and;
  • a cloud computing system 4000 connected to the traffic control operation computer 1000 to store and manage the past traffic information data and real-time traffic information data, respectively;
  • the traffic information big data of the traffic control operation computer 1000 is accessed and stored by accessing the cloud computing system 4000 and analyzing the traffic information big data by importing the stored traffic information data and real-time traffic information data.
  • Model similarity analysis that provides traffic information big data simulation information from the traffic information big data simulation unit 1400 and real-time traffic information simulation information from the real-time traffic information simulation unit 1300 and analyzes the similarity between the two traffic models.
  • a control condition learning unit 6200 for learning an optimum condition for traffic control by using the unit 6100 and the similarity and dissimilarity data analyzed by the model similarity analysis unit 6100, and the control condition learning unit 6200
  • An artificial intelligence computer 6000 including a traffic signal control data generation unit 6300 for generating traffic signal control data of a target road based on the result value of;
  • Traffic signal control computer 7000 that is connected to the artificial intelligence computer 6000, receives the traffic signal control data, converts it into a traffic signal control signal, and controls each traffic signal controller 8000 installed on the target road. ).
  • the traffic information computer units 2100 and 2300 may be configured with computers such as local governments, government agencies, or private organizations that collect and manage various types of traffic information as data, and the traffic information data storage unit 2200 )
  • the traffic information data stored in 2400 may include traffic volume data, traffic speed data, etc. under various conditions of the whole or region or section or road.
  • the traffic information collected by the real-time traffic detection data management computer unit 2600 is installed on the road and detects vehicle information while driving or waiting, as traffic volume information of the area, and a road traffic detector that detects traffic volume information is an image photographing camera sensor. It may include a variety of devices such as.
  • the real-time traffic information collected by the vehicle driving app management computer unit 3200 is executed in a vehicle driving information generating terminal 3100 driven by a driver or the like in a vehicle while driving or waiting, for example, a mobile phone such as a smartphone. It may include vehicle location information and travel destination and route information transmitted from the navigation program.
  • the traffic data collection unit 1100 of the traffic signal control computer 1000 collects traffic information big data according to various collection conditions for a certain period in the past from the traffic information system 2000 to the cloud computing system 4000. It is configured to be transmitted, stored and managed.
  • the real-time traffic information data collection unit 1200 collects real-time detection traffic data detected in real time by a road traffic detector from the traffic information system 2000 and real-time vehicle driving information collected from the vehicle navigation, etc. It is configured to be transmitted to the system 4000 to be stored and managed.
  • the big data platform management computer 5000 may be configured to obtain traffic data from the cloud computing system 4000 and analyze the relationship between the data and manage it as big data.
  • the real-time traffic information simulation unit 1300 of the traffic control operation computer 1000 includes real-time traffic detection data collected from the real-time traffic detection data management computer unit 2600 and the vehicle driving app management computer unit 3200. It is possible to implement a simulation of real-time traffic volume and traffic speed of a road by directly utilizing vehicle driving information data or by analyzing real-time traffic detection data and vehicle driving information data stored in the cloud computing system 4000.
  • the traffic information big data simulation unit 1400 of the traffic control operation computer 1000 retrieves the traffic information big data analyzed and managed by the big data platform management computer 5000 and And it is possible to implement a simulation of the traffic speed.
  • the model similarity analysis unit 6100 of the artificial intelligence computer 6000 is for extracting appropriate information for current traffic control or future traffic control, and the traffic information big data simulation information in the past of the same area or road Analyzes the similarity and dissimilarity information between the and current real-time traffic information simulation information.
  • the control condition learning unit 6200 of the artificial intelligence computer 6000 derives the current or future optimal traffic control of the corresponding area or road based on the similarity analysis result and dissimilarity information of the model similarity analysis unit 6100 As a learning program for doing so, for example, machine learning or deep learning programs can be used.
  • Traffic signal control data generation unit 6300 of the artificial intelligence computer 6000 is based on the traffic control optimal condition learning information in the control condition learning unit 6200, traffic control of pedestrian traffic lights and vehicle signals of a corresponding area or road Data is generated and transmitted to the traffic signal control computer 7000.
  • the traffic control data generated by the traffic signal control data generation unit 6300 may be changed according to the update or deepening of the traffic control optimal control condition learning information in the control condition learning unit 6200.
  • a traffic control data error is generated. It can be configured to apply the past traffic control data used in the same area or similar traffic situation on the same road if it is determined as an error, and if it is still determined as an error.
  • FIG. 3 is a schematic configuration diagram of another embodiment of the hybrid traffic signal control system of the present invention.
  • the hybrid traffic signal control system of the present invention collects various types of bus information for a certain period from bus information terminals 9300 installed in various buses in the city to provide a bus information data storage computer 9200.
  • At least one real-time bus information management computer unit 9400 stored and managed in, and at least one bus transportation for storing and managing past bus information data collected by the at least one real-time bus information management computer unit 9400
  • a bus information management system 9000 including an information management computer unit 9100;
  • a bus information big data collection unit 1500 for collecting past bus information data and real-time bus information data from the bus information management system 9000, and a real-time bus information management computer unit 9400 of the bus information management system 9000 A real-time bus information data collection unit 1600 that collects real-time bus information data from, a real-time bus information simulation unit 1700 that analyzes the real-time bus information data to perform real-time bus driving modeling, and the analyzed past bus information data.
  • a traffic control operation computer 1000 including a bus information big data simulation unit 1800 for performing modeling of bus driving in the past based on big data consisting of;
  • a cloud computing system 4000 connected to the traffic control operation computer 1000 to store and manage the past bus information data and real-time bus information data, respectively;
  • a model similarity analysis unit 6100 that fetches past bus information simulation information from the traffic information big data simulation unit 1800 and real-time bus information simulation information from the real-time bus information simulation unit and analyzes the similarity in two bus operation models. ), the control condition learning unit 6200 for learning the optimum conditions for traffic control by using the similarity and dissimilarity data analyzed by the model similarity analysis unit 6100, and the result of the control condition learning unit 6200
  • An artificial intelligence computer 6000 including a traffic signal control data generation unit 6300 for generating traffic signal control data of a target road on the basis of;
  • Traffic signal control computer 7000 that is connected to the artificial intelligence computer 6000, receives the traffic signal control data, converts it into a traffic signal control signal, and controls each traffic signal controller 8000 installed on the target road. ).
  • the embodiment of the present invention is a configuration optimized for traffic signal control on a road in which a dedicated bus lane in an urban area is not operated.
  • a bus information system (BIS) that receives the location information transmitted from the bus information terminal 9300 of a bus running on a specific area or road.
  • BIOS bus information system
  • BIT arrival time notification electronic board
  • a simulation is implemented using past bus information data for a certain period of a corresponding area or road, and the similarity of the simulation implemented with real-time bus information data is analyzed to control current or future traffic. It is desirable to be able to generate traffic signal control data optimized for use.
  • FIG. 4 is a schematic configuration diagram of an embodiment of a big data platform management computer, which is a main part of an embodiment of the hybrid traffic signal control system of the present invention.
  • the big data platform management computer 5000 of the present invention uses traffic information data, real-time traffic information data detected by a traffic detector, and real-time vehicle driving information data from a navigation device such as a mobile phone, bus information data, etc.
  • a traffic big data platform 5500 that provides analyzed traffic information data to external applications 1000 and 6000 that utilize and process traffic information data;
  • the traffic information big data platform functionally includes a collection of traffic information big data, an analysis of traffic information big data, and a traffic information big data solution.
  • a plan is prepared so that the data held by the public and the private sector can be identified and used in traffic or related fields.
  • traffic information big data analysis it may be important to reinforce the user interface in order to effectively respond to the needs of various users. This is because it is necessary to prepare various methods for extracting the data desired by the user and visualizing these data.
  • the traffic information big data solution supports the development of practical application programs by fusion of various traffic and non-traditional data. This will serve to guide and support various solutions created based on the transportation big data platform.
  • FIG 5 is an explanatory diagram of an application example of traffic signal control data generated in an embodiment of the hybrid traffic signal control system of the present invention.
  • the red, yellow and green vehicles of the first vehicle traffic light 1 and the second vehicle traffic light 2 installed in the section between the first intersection and the first intersection.
  • the fixed flashing period and time (O) of the traffic light is controlled by the period and time of green, yellow, red, and green lights for 1 minute and 30 seconds.
  • the traffic signal control generated using the above embodiment in the hybrid traffic control system of the present invention the traffic volume and traffic speed information of the first intersection is applied, so that the vehicle traffic light control of the first traffic light is the same time (1 minute and 30 seconds).
  • Flashing is controlled with green, yellow, red, green, yellow and red lights, and the control of the vehicle traffic lights of the second vehicle traffic light is performed at the same time (1 minute and 30 seconds), yellow lights, red lights, green lights, It can be seen that the control of the first and second vehicle traffic lights has changed due to the influence of the traffic volume, traffic speed, and the connecting road at the intersection by blinking control with yellow and red lights.
  • FIG. 6 is a chart showing the traffic volume of public transportation for each day of the week in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • the means traffic volume of public transportation for each day of the week used in the embodiment of the present invention represents the data distribution obtained by collecting the total means traffic volume of Seoul Metropolitan City and the means traffic volume of a specific local government for each day of the week.
  • Means traffic means statistical data collected by dividing by means of public transportation (meaning means of transportation such as buses, subways, and taxis). It can be seen that, as a whole, the traffic volume of Sudan in the city increased on Friday and decreased on the weekend.
  • FIG. 7 is an example of a chart showing the amount of traffic for public transportation by day of the week in a specific area among big data that can be collected by public institutions applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • the purpose of public transportation for each day of the week used in the embodiment of the present invention represents the distribution of data collected for the total purpose of the Seoul Metropolitan Government and the purpose of a specific local government for each day of the week.
  • Purpose traffic refers to statistical data collected by the number of users of public transportation and the purpose of moving by public transportation (business, wedding, meeting, etc.). It can be seen that the purpose of traffic in urban areas as a whole increases on Friday and decreases on weekends.
  • FIG. 8 is an example of a chart showing the traffic volume of public transportation means by time slot in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • the means traffic volume of public transportation for each time zone used in the embodiment of the present invention represents the distribution of data collected by time zone of the total means traffic volume of Seoul Metropolitan City and the means traffic volume of a specific local government. It can be seen that, as a whole, the traffic volume of Sudan in urban areas increases at the peak of the rush hour, and decreases after the rush hour.
  • FIG. 9 is an example of a chart showing the speed of public transportation for each day of the week in a specific area among big data that can be collected applied to an embodiment of the hybrid traffic signal control system of the present invention.
  • the collected traffic volume and driving speed data for each season (not shown), monthly (not shown), day of the week, time slot, and weather conditions (not shown) of public transportation are data provided publicly.
  • the past traffic information big data of the present invention is achieved by collecting traffic information data as described above, and real-time collected data may also be included therein.
  • An embodiment of the hybrid traffic signal control system of the present invention utilizes the collected past traffic information data and real-time traffic information data collected from the road traffic detector and the navigation of a driving vehicle, and is optimized based on the similarity secured through simulation. It can be realized by the traffic signal control data secured through.
  • the embodiment of the hybrid traffic signal control system of the present invention utilizes the bus information data collected in real time for roads on which the exclusive bus lanes of the city are not operated by utilizing the bus information data, or It can be realized by traffic signal control data secured through optimization checks based on the similarity secured through simulation by utilizing past traffic information data and real-time traffic information data collected from the road traffic detector and navigation of a driving vehicle.
  • FIG. 10 is a flowchart illustrating an embodiment of a hybrid traffic signal control method according to the present invention.
  • the hybrid traffic control method of the present invention includes the steps of collecting, by a traffic control operation computer, vehicle driving information transmitted from a vehicle running on a road or waiting for a signal (S10); Receiving the vehicle driving information as real-time traffic information data by a real-time traffic information simulation unit of the traffic control operation computer and performing real-time traffic information modeling including real-time traffic volume and traffic speed of the road (S20); Modeling the past traffic information including the past traffic volume and traffic speed of the road by receiving past vehicle driving information stored on the road by the past traffic information simulation unit of the traffic control operation computer as past traffic information data ( S30) and; The traffic control operation computer analyzing the similarity and dissimilarity of the past traffic information modeling information and the real-time traffic information modeling information (S40); Learning a traffic signal control condition based on similarity and dissimilarity information analyzed by the traffic control operation computer (S50); Generating, by the traffic control operation computer, the traffic signal control data of the road by using the learning result of the traffic signal control condition and transmitting it to the
  • FIG. 11 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • the hybrid traffic control method of the present invention includes a bus information management computer that collects and manages the operation information of buses operated in urban areas, and controls traffic signals by receiving bus operation information from the bus information management computer.
  • a bus information management computer that collects and manages the operation information of buses operated in urban areas, and controls traffic signals by receiving bus operation information from the bus information management computer.
  • a traffic control operation computer for controlling the traffic signal by providing control data of the traffic signal of the road to the computer and transmitting the traffic signal control computer to the traffic signal controller of the corresponding road .
  • the bus information management computer receives the location information of the buses transmitted from the buses of each route running on the road where the exclusive bus lane is not operated in real time or periodically, and is linked with each bus identification information, and the location information data of the corresponding bus.
  • the traffic control operation computer receives the location information data of the corresponding bus linked to the respective bus identification information from the cloud computing system, and calculates the operating speed of the corresponding bus based on real-time or periodic location information of the corresponding bus ( S103) and; Calculating, by the traffic control operation computer, a traffic volume of the corresponding road based on the calculated value of the driving speed of the corresponding bus and a preset driving speed reference value of the driving road (S104); Generating, by the traffic control operation computer, traffic signal control data capable of minimizing traffic congestion based on the calculated traffic volume information of the corresponding road (S105); Transmitting the traffic signal control data generated by the traffic control operation computer to the traffic signal control computer (S106); Receiving the traffic signal control data by the traffic signal control computer and transmitting the traffic signal control data or the converted traffic signal control signal
  • FIG. 12 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • the hybrid traffic control method of the present invention includes a bus information management computer that collects and manages the operation information of a bus operated in a city, and controls traffic signals by receiving bus operation information from the bus information management computer. Traffic signals are controlled using a system including a traffic control operation computer for controlling traffic signals by providing control data of road traffic signals to a computer and transmitting the traffic signal control computer to traffic signal controllers of the first road.
  • the bus information management computer receives the location information of buses transmitted from buses running on the first road in which the exclusive bus lane is not operated in real time or periodically, and is linked with each bus identification information to provide the location information of the corresponding bus. Storing the data (S201);
  • the traffic control operation computer receives the location information data of the corresponding bus linked to the respective bus identification information from the cloud computing system and calculates the operating speed of the corresponding bus based on real-time or periodic location information of the corresponding bus.
  • the traffic control operation computer generates traffic signal control data capable of minimizing traffic congestion based on the calculated traffic volume information of the first road and the flashing period and time of the pedestrian traffic lights and the vehicle traffic lights of the first road.
  • the traffic control operation computer fetching information on a predetermined range of first zones including a plurality of (second to n-th) peripheral roads connected to the first road; By performing the steps a) to f) on the roads in the information of the first zone, the flashing period and time of the pedestrian traffic lights and the vehicle traffic lights of the second to n-th roads in the information of the first zone are determined by traffic congestion. Generating each traffic signal control data capable of minimizing (S206);
  • the traffic control operation computer is stored in each of the first to nth roads by analyzing information on the mutual influence of the traffic conditions of each road in the first zone including the past first to nth roads. Calculating a weight to be applied to the road (S207);
  • the traffic control operation computer calculating first weighted traffic signal control data for each road by applying the respective first weights to each of the generated traffic signal control data of the first to nth roads (S208) )Wow;
  • the traffic signal control computer receives the first weighted traffic signal control data and transmits the first weighted traffic signal control data or the converted first weighted traffic signal control signal to each pedestrian traffic light and vehicle traffic signal of each road. Transmitting to the controller (S210);
  • each of the traffic signal controllers receiving the first weighted traffic signal control data or the converted first weighted traffic signal control signal and controlling the blinking period and time of each pedestrian traffic light and the vehicle traffic light (S211).
  • a hybrid traffic signal control method is presented.
  • FIG. 13 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • the hybrid traffic control method of the present invention includes a bus information management computer for collecting and managing operation information of a bus operated in an urban area, and a traffic signal control computer by receiving bus operation information from the bus information management computer.
  • a traffic control operation computer for controlling the traffic signal by providing control data of the traffic signal of the road and the traffic signal control computer transmitted to the traffic signal controllers of the first road.
  • step (S300) of the traffic control operation computer fetching information on the first to n-th areas of a predetermined range including each road in the city;
  • the traffic control operation computer performs the steps a) to i) for each of the first to n-th zones, and each zone included in each of the first to n-th zones Generating first weighted traffic signal control data to be applied to the road (S301);
  • the traffic control operation computer applies the second weight to each of the first augmented traffic signal control data generated for each road in the first to n-th zones to apply the second weighted traffic signal control data to each zone. Calculating for each of the roads (S303);
  • the traffic signal control computer receives the second weighted traffic signal control data and transmits the second weighted traffic signal control data or the converted second weighted traffic signal control signal to each pedestrian traffic light and vehicle of the roads included in each zone. Transmitting to a traffic signal controller of a traffic light (S305);
  • Each of the traffic signal controllers receives the second weighted traffic signal control data or the converted second weighted traffic signal control signal to control the blinking period and time of each pedestrian traffic light and vehicle traffic light of the road in the entire urban area.
  • a hybrid traffic signal control method including step S306 is presented.
  • FIG. 14 is a flowchart illustrating another embodiment of a hybrid traffic signal control method of the present invention.
  • the hybrid traffic control method of the present invention includes: a traffic control operation computer for collecting past vehicle traffic information and real-time traffic information of a road to perform current or future traffic signal control; A traffic information computer that provides past vehicle traffic information and traffic big data information of a real-time traffic inspection device to the traffic control operation computer; A vehicle driving app management computer receiving real-time vehicle driving data information from a vehicle driving information terminal in the vehicle being driven and providing it to the traffic control operation computer; A cloud computing system for receiving and storing the traffic big data and real-time vehicle driving data and responding to a request of each system; A big data platform management computer that retrieves and analyzes traffic big data from the cloud computing system and provides it to each application, and a traffic information computer provided to the traffic control operation computer; The traffic information big data simulation and real-time traffic information simulation generated by the vehicle driving information terminal in the driving vehicle are imported, and the similarity between the two simulation models is analyzed, based on this, the optimal control conditions are learned, and the optimized road traffic is optimized as a result of the learning.
  • the traffic control operation computer collects various types of traffic information data for a certain period of time stored from the traffic information computer and real-time traffic detection data detected by a road traffic detector installed on the road, and stores the data in the cloud computing system. (S400) and;
  • the traffic control operation computer fetches traffic information big data from the big data platform management computer and models traffic information to create a traffic information big data simulation, and fetches real-time traffic information data from the cloud computing system to model real-time traffic information. And generating a real-time traffic information simulation (S402);
  • the artificial intelligence computer bringing the traffic information big data simulation and the real-time traffic information simulation and analyzing the similarity of the models in the two traffic information simulations (S403);
  • the artificial intelligence computer takes the learned traffic control optimal control conditions and applies it to road information and traffic signal information of a control target road to generate traffic signal control data and transmit it to the traffic signal control computer (S405);
  • the traffic signal control computer transmits the received traffic signal control data or the traffic signal control signal converted to each traffic signal controller of the road to control the blinking period and time of each pedestrian traffic light and vehicle traffic light (S406).
  • a hybrid traffic signal control method is proposed.
  • the hybrid traffic control method of the present invention includes the hybrid traffic signal control method of the present invention shown in FIG. It is a configuration characterized in that the hybrid traffic signal control method is combined to control traffic signals in urban areas.
  • the embodiments of the present invention described above are only some of the more various embodiments of the present invention.
  • the simulation information generated by analyzing the past big data of the present invention and the simulation information generated by analyzing real-time traffic information data are analyzed for similarity, and based on the analyzed result, an optimized traffic signal control-related learning is performed, and the learned result
  • the technical idea of generating traffic signal control data and the bus information data of the city the traffic signal control data is generated, but the road on which the exclusive bus lane is operated uses both bus information, vehicle driving information, and past data.
  • various embodiments included in the technical idea of generating traffic signal control data by using bus information data on a road in which a dedicated bus lane is not operated are included in the protection scope of the present invention. Of course.
  • the present invention can be used in an industry capable of efficiently controlling traffic signals of a city unit or a local government unit.

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Abstract

La présente invention concerne un système de commande de signal de trafic hybride et un procédé associé. Dans la présente invention, un système de commande de signal de trafic hybride et un procédé associé sont présentés. Le système de commande de signal de trafic hybride comprend: un ordinateur d'exploitation de commande de trafic comprenant une unité de collecte de données de trafic pour collecter des données d'informations de trafic passées à partir d'un système d'informations de trafic, une unité de collecte de données d'informations de trafic en temps réel pour collecter des données d'informations de conduite de véhicule en temps réel à partir d'une unité informatique de gestion d'application de conduite de véhicule d'un système de gestion d'applications d'informations de conduite de véhicule, et une unité de simulation d'informations de trafic pour effectuer une modélisation d'informations de trafic par analyse des données d'informations de trafic passées et des données d'informations de trafic en temps réel ; et un ordinateur à intelligence artificielle comprenant une unité d'analyse de similarité de modèle pour analyser et fournir une similarité entre deux modèles de trafic par récupération, à partir de l'unité de simulation d'informations de trafic, des informations de simulation des données d'informations de trafic passées et des informations de simulation des données d'informations de trafic en temps réel, et une unité de génération de données de commande de signal de trafic pour extraire une valeur de condition de commande de trafic en utilisant des données de similarité et de dissimilarité analysées par l'unité d'analyse de similarité de modèle et générer des données de commande de signal de trafic d'une route cible sur la base de la valeur de condition extraite de la commande de trafic.
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