KR20230102257A - Traffic light operation system and operation method using initial queue processing at intermittent traffic signal intersection and traffic volume-density by link - Google Patents

Abstract

A traffic light operation system and operation method are disclosed that analyzes the traffic volume-density of a target link formed between signal intersection nodes and operates the traffic light of a signal intersection in an responsive manner using the traffic volume-density. To this end, a link information detection unit that collects the link information of the target link and the initial queue length, a reference number of occupancy units that calculates the maximum number of link space occupancy and the maximum number of queue space occupancy, and a target link during one present period After collecting the number of inflow vehicles and the number of outflow vehicles flowing out from the target link during one presenting period, adding the number of inflow vehicles to the number of vehicles occupying the maximum space in the queue of the target link and subtracting the number of outflow vehicles, A congestion information calculation unit that calculates and stores the traffic volume-density of the target link by dividing it by the maximum space-occupying vehicle number, and generates responsive control information according to the increase or decrease of the traffic volume-density, and the responsive control information is the front signal intersection Provides a traffic light operation system using accumulated traffic-density including an operation server including a signal control unit that transmits signals to reach the signal controller installed in . According to the present invention, it is possible to adjust the effective green time for each direction of traffic lights at signal intersections according to the analyzed traffic volume-density, so it is possible to reduce the cost of social congestion caused by traffic congestion by alleviating the problem of traffic congestion in the vicinity of signal intersections. .

Description

Traffic light operation system and operation method using initial queue treatment and traffic volume-density by link at intermittent signalized intersections

The present invention relates to a traffic light operating system and method for operating traffic lights at signalized intersections in an responsive manner by analyzing the traffic volume-density of a target link formed between traffic junction nodes and using the traffic volume-density, and more specifically, road facilities and signals. Set the initial queue of the link that connects the signalized intersection to the signalized intersection to allocate the optimized traffic light operation time according to the conditions, and measure the traffic volume-density of the link by receiving the inflow traffic for each direction from the signalized intersection Based on this, it is about a traffic light operation system and operation method that operates a traffic light installed at a signal intersection.

In general, road congestion level is an index indicating the degree of congestion of road traffic, and is a measure of the continuous delay of vehicles and the occurrence of operating costs due to the interaction between vehicles that occurs when the traffic volume on the road approaches the road capacity. In the past, most of the road congestion was observed and estimated using a point observation technology using a loop detector and an image information detector and a segment observation technology using AVI (Automatic Vehicle Identification) or DSRC (Dedicated Short Range Communication).

Such road congestion is used as information on smooth traffic sections and congested sections of roads in devices for providing traffic services, such as navigation systems.

On the other hand, since the conventional observation technology is usually a method of estimating road congestion by observing travel time according to vehicle speed on the road, there is a problem in that traffic volume-density, which is an index for the number of vehicles on the road, cannot be reflected.

For example, in the case of the conventional point observation technology, only the traffic volume, average speed, and average movement within a unit time of vehicles passing through the installation location could be observed, while the conventional section observation technology could observe the travel time for the corresponding section. there was.

However, even if the travel time on a specific road is short, if the vehicle density is high, that is, the traffic volume-density is high, there is a very high possibility that an unexpected situation will occur or congestion will occur in a short time due to sudden braking of some vehicles. .

Therefore, if road congestion can be observed by reflecting traffic volume-density, it is possible to grasp the quantitative value through objective figures of traffic flow for the road section, improve the reliability of road congestion, and predict short-term congestion situations. However, there is an urgent need for the development of technology that can control the operation of traffic lights installed at signalized intersections by reflecting traffic volume-density.

Republic of Korea Patent Registration No. 10-1530636 (Announced on June 23, 2015) Republic of Korea Patent Registration No. 10-0970404 (Announced on July 15, 2010) Republic of Korea Patent Publication No. 10-2010-0130055 (published on December 10, 2010) Republic of Korea Patent Registration No. 10-1817127 (2018.01.10 announcement)

Therefore, the first object of the present invention is to measure the congestion situation of a link connecting between signalized intersections and signalized intersections by using an all-vehicle detection device having a detection area at a position outside the initial queue length that can pass during the effective green time. traffic data, calculates the traffic volume-density of the link using the distributed traffic information flowing out through the traffic intersection and the vehicle flowing into the link, and the traffic light that operates the traffic lights installed at the signalized intersection based on the traffic volume-density It is to provide an operating system and operating method.

In addition, the second object of the present invention is to objectively reflect real-time detection results by using the distributed information detection device installed at the signalized intersection and the all-vehicle detection device installed in the link connecting between the signalized intersections after the operation of the display period of the signalized intersection. It is to calculate the traffic volume-density based on figures and to provide a traffic light operation method that operates the traffic lights installed at the signalized intersection based on the traffic volume-density.

In order to achieve the above-described first object of the present invention, in one embodiment of the present invention, road condition information of traffic safety facilities stored in the management body server is retrieved through a communication network and located between the front signal intersection and the rear signal intersection. A link information detection unit that extracts link information including the link length and number of lanes of the target link and collects the length of an initial queue that can pass through all signalized intersections during one effective green time; A reference number calculation unit for calculating the maximum link space occupancy number based on the average vehicle length and calculating the maximum number of space occupied vehicles in the queue based on the initial queue length, the number of lanes, and the average vehicle length; and a target link during one display period. The number of inflow vehicles flowing into and the number of outflow vehicles flowing out from the target link during one display period are collected from the outside, the number of inflow vehicles is added to the number of vehicles occupying the maximum space in the queue of the target link, and the number of outflow vehicles is subtracted A congestion information calculation unit that calculates and stores the traffic volume-density of the target link by dividing it by the number of vehicles occupying the maximum space of the link, and compares and analyzes the traffic volume-density stored at each current period to determine a new lighting time and Traffic light operation using accumulated traffic-density including an operation server with a signal control unit that generates sensitive control information including an output period and transmits the sensitive control information to reach the signal controller installed at the signal intersection ahead provide the system.

In addition, in order to achieve the second object of the present invention, in one embodiment of the present invention, the operation server retrieves the road condition information of the traffic safety facility stored in the management subject server through the communication network, and the target link in which the vehicle detection device is installed is installed. A link information detection step of extracting link information including the link length and number of lanes and collecting the initial queue length, and the operation server calculates the link maximum space occupancy vehicle number with the preset average vehicle length, link length and number of lanes, , Calculating the number of occupied vehicles by calculating the maximum number of vehicles occupying the queue space with the average vehicle length, the initial queue length, and the number of lanes, and the operation server at a predetermined congestion speed or less based on the traffic detection information provided from the total vehicle detection device. A congestion queue detection step of detecting the occurrence of a congestion queue formed by moving or stopping, and when the occurrence of the congestion queue is detected, the operation server determines the number of inflow vehicles flowing into the target link during one presenting period and from the target link during one presenting period. The outflowing number of vehicles is collected from the outside, the number of vehicles inflow is added to the number of vehicles occupying the maximum space in the queue of the target link, the number of vehicles inflow is subtracted, and then divided by the number of vehicles occupying the maximum space of the link to determine the traffic volume-density of the target link. Congestion information calculation step, and the operation server compares and analyzes the traffic volume-density stored for each current period to generate sensitive control information including a new lighting time and output period according to the increase or decrease in traffic volume-density, and the response Provides a traffic light operation method using accumulated traffic volume-density including a traffic light control step in which type control information is transmitted to reach a signal controller installed at a traffic signal intersection ahead.

In the present invention, the traffic volume-density of the target link can be calculated and the congestion information for each situation of the target link can be digitized and displayed.

In addition, the present invention can analyze the suitability for the valid green signal time within the display period of the traffic light installed in the signalized intersection by grasping the traffic volume-density of the target link.

In addition, since the present invention can adjust the effective green time for each direction of traffic lights at signal intersections according to the analyzed traffic volume-density, it is possible to reduce the cost of social congestion caused by traffic congestion by alleviating traffic congestion problems near signal intersections. there is.

In addition, the present invention deviates from the method of calculating moving flow traffic information based on the average travel speed of a representative link, and can calculate the traffic flow rate through numerical and continuous traffic information based on fixed road conditions, and subdivides the problem of moving flow traffic congestion. It can contribute to solving the traffic problem in the city, as it can operate a traffic light operation method sensitive to the traffic volume by providing the digitization.

In addition, the present invention provides an environment in which objective congestion levels of a link disposed upstream of a signalized intersection and a link disposed downstream of a signalized intersection can be intuitively compared centering on the signalized intersection.

Moreover, the existing initial queue had many difficulties in calculating the traffic information of the moving flow because it was difficult to figure out the number, but the present invention is a full vehicle detection device at a position corresponding to the length of the queue of vehicles that can pass during one effective green time. is installed, it can be determined that the road is congested when a queue is created up to the detection area of the all-vehicle detection device. In other words, according to the present invention, if the creation of a queue is not detected in the detection area of the all-car detection device, the movement of the moving flow is determined to be in a smooth state, and if a queue generator is detected in the detection area, the movement of the moving flow is determined to be in a congested state. You can do it.

1 is a block diagram illustrating a traffic light operating system according to an embodiment of the present invention.
2 is a perspective view schematically showing a traffic light operating system according to the present invention.
3 is a block diagram for explaining a traffic light operating system according to another embodiment of the present invention.
4 is a flowchart for explaining a traffic light operating method according to the present invention.

Hereinafter, a traffic light operation system (hereinafter, abbreviated as 'traffic light operation system') using initial queue processing and traffic volume-density for each link according to preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. do.

1 is a block diagram for explaining a traffic light operating system according to an embodiment of the present invention, and FIG. 2 is a perspective view schematically showing a traffic light operating system according to the present invention.

1 and 2, the traffic light operating system according to the present invention extracts link information including the link length and number of lanes of a target link connecting a signal intersection and a signal intersection, and collects the initial queue length. 11), a reference number of occupied vehicles calculating unit 12 for calculating the maximum number of vehicles occupying a link space and the maximum number of vehicles occupying a queue based on the link information, and the maximum number of vehicles occupying a queue space of a target link and the number of incoming vehicles and a congestion information calculation unit 13 that calculates the traffic volume-density of the target link based on the number of outflow vehicles and the number of vehicles occupying the maximum space of the link, and generates sensitive control information according to the increase or decrease in traffic volume-density and installed at the front intersection It includes an operation server 10 including a signal control unit 14 that transmits to reach the signal controller. At this time, the operation server 10 analyzes the traffic detection information provided by the all-inclusive vehicle detection device 20 and the queue generation reading unit 15 that reads the occurrence of the congested queue, and various information transmitted to the operation server and the operation server. It may be configured to further include a storage unit 16 for storing various types of generated information.

This traffic light operating system is installed in the link connecting the signal intersection and the signal intersection, and the vehicle detection device 20 generates and transmits traffic detection information for the link detection area, and the direction to the rear signal intersection located at the rear of the link. It is installed separately and may further include a rear distributed information detection device 30 that generates and transmits distributed traffic information.

In addition, the traffic light operating system may further include a forward distributed information detection device 40 installed in each direction at the forward signalized intersection located in front of the link and generating and transmitting distributed traffic volume information.

The all-inclusive vehicle detection device 20 and the distributed information detection devices 30 and 40 can track the movement trajectory of the moving flow, and through this, traffic information (occupied lane, average moving time, vehicle type, departure time from the detection area) can be obtained. and the direction (vehicle movement within the occupied lane or signalized intersection area) can be determined (left turn, straight ahead, right turn).

Hereinafter, each component will be described in more detail with reference to the drawings.

3 is a block diagram for explaining a traffic light operating system according to another embodiment of the present invention.

Referring to FIGS. 2 and 3 , the traffic light operating system according to the present invention includes an all-vehicle detection device 20 .

The all-vehicle detection device 20 is installed in the link between the signalized intersection and the signalized intersection, and detects the moving flow passing through the preset link detection area in real time to determine the speed of the moving flow, the type of vehicle, and the number of vehicles. The included traffic detection information is generated, and the traffic detection information is transmitted to the operation server 10.

The traffic detection information includes traffic vehicle information generated by counting the number of vehicles passing through the link detection area, and is optionally a link that is a detection area of the vehicle detection device 20 along the queue generated from the stop line of the front signal intersection. Queue generation information generated by detecting vehicles stopped up to the detection area and then detecting the number of vehicles forming a queue in the link detection area, vehicle type, distance between vehicles, and the like may be further included.

The full vehicle detection device 20 may directly grasp the length of the congested queue within the link detection area by analyzing an image generated by photographing the link detection area, or may determine the length of the congested queue by analyzing the number of vehicles, vehicle type, and inter-vehicle distance. there is. At this time, the vehicle type is determined by searching for a vehicle name matched with the external appearance information collected from the image through a vehicle model information database in which the external appearance information and the vehicle name are stored. The vehicle type information database may be included in the vehicle detection device 20 or may be included in the queue generation reading unit 15 of the operation server 10 .

If necessary, the traffic detection information may include moving vehicle information for which a moving distance for each lane of the effective green time has been detected and a device number of the vehicle detection device 20. Specifically, driving information including moving vehicle trajectories and moving distances in valid green time, detection date and time, driving speed, number of passing vehicles, occupied lanes, vehicle ID, and vehicle type information may be generated in the moving vehicle information.

Such a vehicle detection device 20 may record the amount of traffic for each time period.

In addition, the vehicle detection device 20 may be installed on a pole disposed along a road to generate traffic detection information for a vehicle entering a link detection area.

The all-vehicle detection device 20 may include any one or more of a video camera, an infrared camera, an ultrasonic sensor, and a thermal sensor, and may further include other sensors capable of detecting a vehicle, and a vehicle detection system ( Vehicle Detection System (VDS) can be used.

Such an all-vehicle detection device 20 may generate traffic detection information classified by time series by utilizing data collected/accumulated in the link detection area.

In addition, the vehicle detection device 20 counts the number of passing vehicles in the link detection area for each display period, and when calculating the queue, vehicle information waiting for a signal based on the moving speed of the vehicle finally detected in the link detection area can be collected.

The full vehicle detection device 20 obtains individual (by vehicle type, by lane) traffic information for the moving flow flowing into the link detection area, and queue occurrence information (measurement time, whether or not a congested queue is created, congestion in the link detection area) queue length, congested queue length generation speed, congested queue movement speed when moving from a stop state, congested queue information by lane, congested queue density) can be created.

2 and 3, the traffic light operating system according to the present invention includes a rear distributed information detection device 30.

The rear distributed information detection device 30 is installed in each direction at the rear signal intersection located at the rear of the target link, and detects the moving flow running in the detection area set for each direction of the rear signal intersection according to the display period of the traffic light. During the presenting period of the conference, rear distributed traffic volume information including the number of inflow vehicles for each link is generated, and the rear distributed traffic volume information is transmitted to the operation server 10.

The rear distributed information detection devices 32, 34, 36, and 38 are installed for each direction of the signalized intersection to monitor vehicles moving in each direction, and detect vehicles that stop or move according to the signal of the traffic light within the signalized intersection detection area. Detect and generate rear distributed traffic volume information. In this case, the traffic lights may include at least two or more signals, for example, red, green, yellow, and left turn signals, but are not limited thereto.

In addition, the rear distributed information detection device 30 generates rear distributed traffic volume information by detecting vehicles in real time or at intervals during which traffic lights are turned on.

The rear distributed traffic volume information includes the number of inflow vehicles for each link generated by counting the number of vehicles passing in each direction of the rear signalized intersection at the time when the green traffic light is turned on and the number of vehicles turning right at the time when the red traffic light is turned on.

In this way, since the link detection area of the all-vehicle detection device 20 targets a part rather than the entire link 200, the inflow of the moving flow is reflected outside the link detection area 115, and the inflow vehicle is a link ( 200), a vehicle going straight in the same direction of the first link 310 located on the same line, a right-turning vehicle of the second link 320 located on the right side of the link 200, and a third link 330 located on the left side of the link 200 ), and U-turn vehicles in the link 200 are the targets. At this time, the traffic flow flowing into the link 200 through the rear traffic intersection is applied as an increase in link congestion intensity, and the traffic flow flowing out of the link 200 into the front traffic intersection may be applied as a decrease in link congestion intensity.

If necessary, the rear distributed traffic volume information may include moving vehicle information in which the cumulative number of moving vehicles for each lane is detected and a device number of a distributed information detecting device. Specifically, the moving vehicle information may generate driving information including a moving trajectory of the vehicle, detection date and time, driving speed, number of passing vehicles, occupied lane, vehicle ID, and vehicle type information.

The rear distributed information detection device 30 can record the traffic volume for each time period.

In addition, the rear distributed information detection device 30 is installed on a pole disposed at a traffic light or a roadside and detects traffic information about a vehicle entering a detection area.

In addition, the rear distributed information detection device 30 may transmit traffic detection information including the number of inflow vehicles for each link to a repeater (not shown) in charge of the signalized intersection in which the distributed information detection device is installed.

The rear distributed information detection device 30 may include any one or more of a video camera, an infrared camera, an ultrasonic sensor, and a thermal sensor, and may further include other sensors capable of detecting a vehicle, and a vehicle detection system. (Vehicle Detection System, VDS) can be used.

For example, the rear distributed information detection device 30 is installed at a traffic light for each direction of a 4-way signalized intersection, and collects driving information on vehicles for each direction (going straight, turning left, turning right).

The rear distributed information detection device 30 counts the direction of vehicles continuously moving by lane within the signalized intersection detection area by period, and at the time of a green signal, the number of vehicles passing in the left turn and straight direction, and the moving speed within the detection area , and at the time of a red light, the number of vehicles passing in the right turn direction can be calculated.

The rear distributed information detection device 30 calculates the distributed traffic statistics according to the display period of the signalized intersection only for the traffic flow that has passed after the operation of the traffic light, and the distributed traffic volume information generated for each effective green time is transferred to the operation server 10 can be provided with

This rear distributed information detection device 30 utilizes the data collected/accumulated at the corresponding signal intersection to generate big data, classifies and stores it by signal intersection, direction, and time series, and uses it for analysis of big data. It is possible to generate raw data of distributed traffic volume information.

Referring to FIGS. 2 and 3 , the traffic light operating system according to the present invention includes a front distributed information detection device 40 .

The front distributed information detection device 40 is installed in each direction at the front traffic intersection located in front of the link, and detects the moving flow running in the detection area set for each direction of the front traffic intersection according to the display period of the traffic light. During the presenting period of the conference, forward distributed traffic volume information including the number of outflow vehicles flowing out for each link is generated, and the forward distributed traffic volume information is transmitted to the operation server 10.

The forward distributed information detection devices 42, 44, 46, and 48 are installed in each direction of the signalized intersection to monitor vehicles moving in each direction, and detect vehicles that stop or move according to the signal of the traffic light within the signalized intersection detection area. It detects and generates ahead distributed traffic volume information.

The forward distributed information detecting device 40 detects vehicles in real time or at intervals during which traffic lights are turned on, and generates forward distributed traffic volume information.

The forward distributed traffic volume information includes the number of vehicles passing through each direction of the signalized intersection ahead at the turn-on time of the green traffic light and the number of vehicles making a right turn at the turn-on time of the red traffic light. At this time, the number of vehicles outflowing from the link may include the number of U-turn vehicles making a U-turn on the link 200 when a green signal of a pedestrian signal light installed on the crosswalk of the link 200 adjacent to the rear signal intersection is received. Such a U-turn vehicle can be detected by the front distributed information detection device 42 that monitors the movement flow passing through the link 200.

Since the front distributed information detection device 40 is configured to provide the same functions as the rear distributed information detection device 30 only in a different installation position, duplicate descriptions will be omitted.

A traffic light operating system according to the present invention may include a first repeater and a second repeater.

The first repeater is connected to the rear distributed information detectors 32, 34, 36, and 38 installed for each direction of the rear signal intersection through a wired, wireless, or communication network, and is connected from each rear distributed information detector 30 to the rear distributed information detector 30. When traffic information is received, it is transmitted to the operation server 10 .

The second repeater is connected to the forward distributed information detecting devices 42, 44, 46, and 48 installed for each direction of the forward signal intersection through a wired, wireless, or communication network, and is connected from each forward distributed information detecting device 40 to the forward distributed information detecting device 40. When traffic information is received, it is transmitted to the operation server 10 .

Since the first repeater and the second repeater are configured to provide the same functions as each other except for the installation location being different, hereinafter, they are collectively referred to as repeaters when overlapping contents are described.

Here, Ethernet can be used as wired, and short-range wireless communication such as Wi-Fi, Bluetooth, ZigBee, etc. can be used as wireless.

In addition, as a communication network, CDMA (Code Division Multiple Access), WCDMA (wideband code division multiple access), HSDPA (High Speed Downlink Packet Access), LTE (Long Term Evolution), IMT-2020 (International Mobile Telecommunications-2020), ADSL (Asymmetric Digital Subscriber Line), VDSL (Very high-data rate Digital Subscriber Line), HDSL (High-bit-rate Digital Subscriber Line), optical LAN (optical LAN) can

In addition, the repeater is installed alone (one) at the signalized intersection and receives distributed traffic volume information provided from a plurality of distributed information detection devices installed at the signalized intersection.

Such a repeater is installed along with a distributed information detection device at a nearby pole where a signal controller of each signal intersection is installed, and can provide convenience in operation and management of traffic lights at signal intersections.

In addition, the repeater may transmit the distributed traffic volume information collected from the distributed information detection device to the operation server 10 as it is, and the purification function for the raw data of the distributed traffic volume information (error, integrity, direction, time series information) collection, etc.) to generate metadata in the form of statistical data for big data analysis and learning, and then transmit the metadata to the operation server 10.

More specifically, the raw data refinement function of the repeater is the raw data provision format (defined data type and length), the error check function for the field format and value range, and the statistical data of the vehicle according to the collection period of the collected raw data. Include the ability to create At this time, the statistical data includes the total number of vehicles, the number of vehicles in each direction, and the average speed of vehicles in each lane for a set time period.

The collection period of the raw data is a set time for generating statistical data in the operation server 10, for example, an effective green signal time, and may be changed according to the purpose, such as 10 seconds, 30 seconds, or 60 seconds.

As such a repeater, an edge system to which edge computing technology is applied can be used to provide a raw data purification function. Here, edge computing is a computing method that supports data flow acceleration by processing data generated from various terminal devices in real time at the site where the data is generated or at a nearby location without sending it to a centralized data center such as a cloud.

The traffic light operating system according to the present invention may include a signal controller (not shown).

The signal controller controls the operation of traffic lights at signal intersections in a fixed periodic TOD (Time of Day) mode according to a preset signal operation table. Controls the operation of signal intersection traffic lights in type control mode.

Here, the fixed periodic TOD mode is an operation mode that controls traffic light signal operation according to a signal operation table by time zone and by day without considering traffic volume-density.

In addition, the signal controller is wired or wirelessly connected to the signal intersection traffic light, and is connected to the operation server 10 and a communication network.

In addition, the signal controller is disposed near the signal intersection, and may be installed on a pole near the signal intersection together with a distributed information detection device, a repeater, or both, as needed.

As such, the signal controller basically uses the time-of-day TOD (Time of Day) method to control the signal operation of traffic lights, but the LAC (Local Actuation Control) method or the congested area signal intersection method (CIC: Critical Intersection Control) can be used to control signal operation of traffic lights, and when sensitive control information is provided from the operation server 10, real time control (RTC) can be used to control signal operation of traffic lights.

The operation server according to the present invention may transmit the sensitive control information to a signal controller installed at a signal intersection ahead of the target link or to a traffic central control system that manages the operation of the signal controller. At this time, when the operation server transmits the responsive control information to the traffic central control system, the operation server may add identification information of the signal controller for reaching the responsive control information to the responsive control information.

1 and 3, the traffic light operating system according to the present invention includes an operating server 10.

The operation server 10 analyzes the link information of the target link collected from the outside, the length of the initial queue, the number of outgoing vehicles, and the number of inflow vehicles to calculate the traffic volume-density of the target link connecting the signalized intersection and the signalized intersection. .

Specifically, the operation server 10 analyzes the road condition information of the link, the traffic detection information provided from the all-inclusive vehicle detection device 20, and the distributed traffic information provided from the distributed information detection device, and the target link connecting the signalized intersection and the signalized intersection. The traffic volume-density is calculated, and for this purpose, the total vehicle detection device 20, the rear distributed information detection device 30, and the front distributed information detection device 40 through a wired and wireless communication network (hereinafter, abbreviated as 'communication network') ) is connected to

If necessary, the operation server 10 determines the degree of congestion of the target link based on the calculated traffic-density and generates sensitive control information including a new lighting time and output period according to a preset traffic light operation policy, The sensitive control information is stored in a traffic light operation time redistribution DB of the storage unit, Sensitive control information is transmitted so that the responsive control information arrives at the signal controller installed in the front signal intersection of the target link.

For example, the operation server 10 may be configured to generate responsive control information capable of alleviating congestion intensity of a corresponding link when the accumulated traffic-density gradually increases, and transmit the responsive control information to a signal controller. . In addition, the operation server 10 does not generate sensitive control information so that the effective green time does not change when the accumulated traffic-density gradually decreases.

In addition, the operation server 10 is configured to generate sensitive control information that can alleviate the congestion intensity of the link when the traffic volume-density is higher than a preset reference value, and transmit the sensitive control information to the signal controller. It can be.

In addition, the operation server 10 may be connected to a public office server in which road condition information is stored through a communication network in order to retrieve road condition information of traffic safety facilities and extract link information for a target link. In this way, the operation server 10 retrieves the road condition information of T-GIS (traffic safety facility) stored in an external server such as a government office server, and extracts and uses link information for the link where the vehicle detection device 20 is installed. Alternatively, link information pre-stored in the operating server 10 with a personal identification symbol added to each link may be used.

For example, the road condition information is the length of the link, the number of lanes, the average lane, the width, the slope, whether or not there is a dedicated left/right turn lane, the radius of the left turn curve, the right turn canal, the location of the bus stop, on-street parking lot, and the length of the entry and exit road. contains one or more

The operation server 10 retrieves road condition information of T-GIS (traffic safety facility) stored in an external server, such as a government office server, and signals for signal intersections disposed in the front and rear of the link where the vehicle detection device 20 is installed. Intersection information can be extracted and used, or signal intersection information pre-stored in the operation server 10 with a personal identification symbol added to each signal intersection can be used.

The operation server 10 assigns a relationship to signal intersections with the upper and lower links of each school site by using the mutual correlation of each school site, and then the signal condition information according to the fixed period traffic light operating time information (TOD DB), which is the display period of each school site. It can be mapped with a relation key and stored in the traffic information DB of the storage unit.

The operation server 10 stores the data stored in the traffic information DB by date, time, and signal period (minimum traffic volume value for each direction, maximum traffic volume value for each direction, congestion duration, morning and afternoon peak time, congestion time zone) average number of trips by vehicle type) and stored.

The operating server 10 may store in advance congestion speeds during congestion times for links, rear signalized intersections, and front signalized intersections. At this time, the congestion speed is set by the manager between the peak time travel speed and the average congestion speed.

The movement speed at the peak time can be detected by analyzing traffic detection information and distributed traffic information stored in the traffic information DB by the operation server 10 . The average congestion speed is set to 15 km/h or less in the congestion (or congestion) time zone of signalized intersections and links.

Specifically, the operation server 10 outputs the preset average congestion speed and the peak time movement speed, and when the speed determined between the average congestion speed and the peak time movement speed is input to the operation server 10 by the manager This is designated as the congestion speed.

In this way, the operation server 10 analyzes the traffic detection information and distributed traffic information stored in the traffic information DB to detect the peak hour's movement speed, and between the peak hour's movement speed and the average congestion speed, for example, 5 km / The speed selected by the manager from h to 15 km/h is designated as the congestion speed.

The operation server 10 is directly connected to a signal controller disposed at a signal intersection where a distributed information detection device is installed, extracts signal condition information stored in the signal controller, stores it in a traffic information DB, or manages each signal controller. After accessing the system, the signal condition information of the signalized intersection where the distributed information detection device is installed can be searched and extracted, and then stored in the traffic information DB. Here, the signal condition information includes one or more of a signal period, a minimum green time, a maximum green time, a pedestrian green time, a yellow time, a signal intersection offset, and a left turn type.

The operation server 10 includes the traffic detection information transmitted from the total vehicle detection device 20, the rear distributed traffic information transmitted from the rear distributed information detection device 30, and the forward distributed information transmitted from the detection device 40. Forward distributed traffic volume information can be stored in the traffic information DB.

The operation server 10 may store environmental condition information including items of rainfall, snowfall, and fine dust concentration in a traffic information DB. To this end, the operation server 10 accesses the Meteorological Administration server through a communication network, searches for and extracts weather information for a link where the vehicle detection device 20 is installed, and stores the weather information in a traffic information DB.

The operation server 10 stores distributed traffic volume information for each signal cycle in the traffic information DB, and calculates congestion information such as traffic volume-density and congestion intensity based on the distributed traffic volume information and traffic detection information. Here, since the effective green time for each direction of the signalized intersection is slightly different according to the signal cycle, that is, according to the time zone, the traffic volume information based on the effective green time directly affects the traffic volume-density or congestion intensity in the same time zone. However, it is measured by date, hour, and period, and the effective green time is used as a standard.

At this time, the operation server 10 can analyze the congestion intensity of the current traffic volume at the next signalized intersection by time-series analysis of the distributed traffic volume information actually measured through the distributed information detection device for the change in the movement flow in the time and space of the road at a specific point in time. there is. In other words, the operation server 10 calculates the congestion intensity given to the next signalized intersection by the moving flow distributed through straight ahead, right turn, and left turn based on the present information of the signalized intersection as a number, but flows according to the road conditions of the next signalized intersection. Calculate the congestion intensity by reflecting the number of vehicles entering and exiting the link to the number of vehicles occupied by the link.

The traffic volume-density is calculated by adding the number of inflow vehicles of the target link to the maximum number of vehicles occupying space in the initial queue set by the operation server 10 in advance, subtracting the number of vehicles outflow of the target link, and then dividing by the maximum number of vehicles occupying space of the link. can do. At this time, the operation server 10 may read the occurrence of a congested queue that has reached the link detection area 113 of the all-inclusive vehicle detection device 20 and determine the time point of calculating traffic volume-density.

The operation server 10 extracts the movement distance of the queue moving within the link detection area during the effective green time from the traffic detection information to secure the reliability of the traffic light operating system, and extracts the forward distance during the effective green time from the forward distributed traffic volume information. The number of vehicles passing through the signalized intersection can be extracted and repeatedly compared to see if they match. At this time, the all-vehicle detecting device 20 converts the moving distance of the queue moving within the link detection area during the effective green time into the number of vehicles, and then compares whether or not it matches the number of vehicles passing through the front signalized intersection.

On the other hand, the operation server 10 according to the present invention may include a link information detection unit 11, a standard occupied vehicle number calculation unit 12, a congestion information calculation unit 13, and a signal control unit 14. Optionally, one or more of the queue generation reading unit 15 and the storage unit 16 may be further included.

The link information detection unit 11 constituting the operation server 10 according to the present invention searches the road condition information of traffic safety facilities stored in the government office server through the communication network, the length of the link where the vehicle detection device 20 is installed, It plays a role of extracting link information including the number of lanes. In addition, the link information detection unit 11 may collect the length of the initial queue formed between the link detection area of the all-transport vehicle detection device 20 and the stop line of the forward signal intersection from the government office server or by receiving input from the administrator.

The reference occupied vehicle calculation unit 12 constituting the operation server 10 according to the present invention determines the link length and number of lanes of the target link extracted through the link information detection unit 11 and the preset average vehicle length for the maximum link space. It plays a role in calculating the number of occupied vehicles. In addition, the reference number of occupied vehicle calculation unit 12 serves to calculate the maximum number of space occupied vehicles in the queue that can occupy the initial queue section with the number of lanes extracted through the link information detection unit 11, the initial queue length, and the average vehicle length. do

Here, the average vehicle length may be calculated as the sum (+) of the average vehicle length accumulated over a preset period and the preset safety distance. And the average vehicle length may be calculated by the all-vehicle detection device 20, and the traffic detection information analysis unit (not shown) of the operation server 10 that analyzes the traffic detection information provided from the all-inclusive vehicle detection device 20 may be produced by If necessary, the average vehicle length may be set by the administrator of the operation server 10 .

In addition, 111 in FIG. 2 is the distance between the stop line adjacent to the front signalized intersection and the all-vehicle detection device 20, 112 is the length of the shaded area of the all-inclusive vehicle detection device 20, and 114, the sum of 111 and 112, is 1 It is the length of the initial queue that can pass through all signalized intersections during the effective green time of the meeting, and 115 is the distance between the crosswalk adjacent to the rear signalized intersection and the link detection area.

More specifically, the standard occupancy number calculation unit 12 may calculate the link maximum space occupancy number according to the following [Equation 1], and calculate the queue maximum space occupancy number according to the following [Equation 2]. there is.

[Equation 1]

The maximum number of vehicles occupying space in a link = length of link × number of lanes / average vehicle length

For example, if the length of the link is 400 m, the number of lanes is 4, and the average vehicle length is 4 m, the maximum number of vehicles occupying space in the link is 400.

[Equation 2]

Maximum number of vehicles occupying space in the queue = length of initial queue × number of lanes / average vehicle length

For example, if the length of the initial queue is 50 m, the number of lanes is 4, and the average vehicle length is 4 m, the maximum number of vehicles occupying space in the queue is 50.

If necessary, the reference number of occupied vehicles calculation unit 12 instead of calculating the maximum number of vehicles occupying a queue space in real time, the average length of the initial queue accumulated during a preset period, the number of lanes, and the average vehicle length of the maximum queue space occupied vehicles After calculating the number, it can be set as a fixed coefficient.

The queue generation reader 15 constituting the operation server 10 according to the present invention analyzes the traffic detection information provided from the all-vehicle detection device 20 installed in the link, and congestion formed by moving or stopping at a predetermined congestion speed or less. It plays the role of reading queue occurrence and creating queue occurrence information when a congested queue occurs.

The queue occurrence reader 15 uses traffic detection information including the initial detection time within the link detection region of the all-vehicle detection device 20, temporary identifiers for each vehicle, occupied lane, vehicle type, and moving speed within the link detection region. Queue creation information can be created.

At this time, queue generation information includes whether or not there is a stop, average moving speed, occupied lane detected for the first time, changed lane, time out of link detection area, total waiting time within link detection area, initial detection location, previous congested queue length, within link detection area Any one or more of the moving average speeds may be further included.

The congestion information calculation unit 13 constituting the operation server 10 according to the present invention sums the number of inflow vehicles of the target link provided from the distributed information detection device installed at the signalized intersection and the number of vehicles occupying the maximum space in the queue, and After subtracting the number of inflow vehicles of the target link provided from the distributed information detection device, the traffic volume-density is calculated by dividing by the number of vehicles occupying the maximum space in the link. At this time, the operation server 10 stores the calculated traffic-density itself.

More specifically, the congestion information calculation unit 13 calculates the traffic volume-density according to the following [Equation 3].

[Equation 3]

Traffic Volume - Density = (Number of vehicles inflow of the target link + Number of vehicles occupying the maximum space in the queue - Number of vehicles occupying the maximum space of the target link) / Number of vehicles occupying the maximum space of the link

For example, if the number of inflow vehicles of the target link is 30, the maximum number of vehicles occupying space in the queue is 90 vehicles, the number of outbound vehicles of ticket link is 20 vehicles, and the maximum number of vehicles occupying space in the link is 200 vehicles, the traffic volume-density is 0.5 (50% ) becomes

If necessary, the congestion information calculation unit 13 uses the fixed coefficient set by the standard occupancy number calculation unit 12 instead of the queue maximum space occupancy number, adds the number of inflow vehicles of the target link to the fixed coefficient, and After subtracting the number of outflow vehicles of the link, the traffic volume-density can be calculated by dividing the total number of vehicles occupying the detection area by the maximum number of vehicles occupying the link space.

The congestion information calculating unit 13 may calculate traffic volume-density only when queue generation information is provided from the queue generation reading unit 15, or may calculate traffic volume-density regardless of the presence or absence of queue generation information. .

In addition, the congestion information calculation unit 13 is adjacent to the rear signal intersection and reflects the time difference on the street when the green signal of the pedestrian traffic light installed on the target link is reflected, and the number of vehicles passing through the detection area provided by the vehicle detection device 20 is U-turn vehicles traffic volume of the target link - density can be calculated.

More specifically, the congestion information calculation unit 13 is connected to the signal controller of the pedestrian traffic light installed at the U-turn point, and the U-turn point where the time difference for the separation distance from the U-turn point installed on the target link to the vehicle detection device is reflected. By designating the pedestrian green time as the U-turn detection time, the number of vehicles passing through the detection area provided by the all-vehicle detection device during the U-turn detection time is calculated as the number of U-turn vehicles. At this time, the U-turn detection time is the time at which the time difference calculated by dividing the separation distance from the U-turn point installed on the target link to the vehicle detection device by the road limit speed of the target link at the start time and end time of the pedestrian green time is reflected, respectively. am.

More specifically, the congestion information calculation unit 13 calculates the time difference for each separation distance according to the following [Equation 4].

[Equation 4]

Time difference by separation distance = Distance between the U-turn point and the vehicle detection device (m) / Traveling speed per second of the road limit (m/sec)

For example, if the road speed limit is 80 km/h, the distance from the maintenance point to the all-vehicle detection device is 100 m, and the pedestrian green time at the U-turn point is between 0 minutes 0 seconds and 0 minutes 30 seconds, the congestion information calculation unit The time difference for each separation distance calculated by (13) is 4.5 (100/22.2) seconds, and the U-turn detection time calculated by the congestion information calculation unit 13 is between 4.5 seconds and 34.5 seconds, which is 4.5 seconds later than the pedestrian green time. becomes

The signal control unit 14 constituting the operation server 10 according to the present invention analyzes the traffic volume-density calculated through the congestion information calculation unit 13 to generate sensitive information for controlling traffic lights. The control information is transmitted to reach the signal controller installed at the signalized intersection ahead. At this time, the signal control unit 14 may directly transmit the sensitive control information to the signal controller, or transmit the sensitive control information to the signal controller through the traffic central control system that manages the signal controller so that the sensitive control information is provided. It can also be transmitted to the central control system.

The signal control unit 14 compares and analyzes the stored traffic volume-density for each display period and generates sensitive control information including a new lighting time and output period according to the increase or decrease of the traffic volume-density.

Specifically, the signal control unit 14 provides sensitive control information for reducing the effective green time for managing the movement of the moving flow flowing into the target link so that the number of vehicles flowing into the target link decreases when the traffic volume-density stored for each presenting period increases. and transmit the sensitive control information to reach the signal controller installed at the front signal intersection.

In addition, the signal control unit 14 provides sensitive control information for reducing the effective green time for managing the movement of the flow flowing out from the target link so that the number of vehicles flowing out of the target link increases when the traffic volume-density stored for each presenting period increases. and transmit the sensitive control information to reach the signal controller installed at the rear signal intersection.

In addition, the signal control unit 14 monitors the traffic volume-density calculated by the congestion information calculation unit 13, and when the traffic volume-density reaches a predetermined value, preferably 0.8 to 0.9, the number of vehicles entering the target link decreases. Generating sensitive control information that reduces or omits the effective green time for managing movement to the target link by 50% or more, and provides the sensitive control information to the traffic light controller that controls the traffic lights installed at the rear traffic intersection. can do.

For example, the signal control unit 14 determines that, when the traffic volume-density of a first link reaches 0.8 to 0.9, the flow flowing into the first link through the first traffic intersection located behind the first link is reduced by 50%. Sensitive control information for changing the effective green time for moving the moving flow to the first link through the first signal intersection so as to be abnormally reduced or blocked may be generated and transmitted to reach the signal controller installed in the first signal intersection.

The storage unit 16 constituting the operation server 10 according to the present invention includes the link information detection unit 11, the standard occupied vehicle number calculation unit 12, the congestion information calculation unit 13, and the signal control unit ( It is connected to 14) and stores link information , initial queue length , number of maximum occupied space in queue, number of vehicles inflow, number of outflow vehicles, traffic volume-density, and sensitive control information. To this end, the storage unit 16 is provided with a traffic information DB and a redistribution DB of traffic light operating hours.

In addition, the storage unit 16 may acquire road condition information and signal condition information in advance to build a database capable of identifying each.

On the other hand, the operation server 10 according to the present invention extracts the distributed traffic volume of the traffic flow for each direction of the signalized intersection according to the present period from the distributed traffic volume information, and the environment of the environmental condition information at the same time as the distributed traffic volume of the traffic flow for each direction of the signalized intersection. Conditions can be set.

In addition, the operation server 10 classifies the distributed traffic volume for each direction of the signalized intersection by environmental conditions and then accumulates them to generate a statistics-based distribution pattern, and uses the deep learning algorithm of the operation server 10 learned from the distribution pattern. Through this, it is possible to calculate the movement ratio for each direction of the signalized intersection.

For example, on October 3, 2021, at 7:30 on Monday at signalized intersection point A where the precipitation is 10mm per hour, the deep learning algorithm sets the traffic ratio for each direction at signalized intersection A to 20% left turn, 20% right turn, and 50 straight ahead. %, U-turn can be calculated as 10%.

The operation server 10 detects the total passing amount from the traffic detection information collected in real time through the all-vehicle detection device 20, and based on the total passing amount and the movement ratio for each direction of the signalized intersection, The expected number of moving vehicles can be calculated.

For example, if the total passing amount is detected as 100, the operation server 10 applies the movement ratio (left turn 20%, right turn 20%, straight 50%, U-turn 10%) for each direction at the signalized intersection to make 20 left turns and 20 right turns. , 50 cars going straight, 10 cars making a U-turn, it is possible to predict the number of vehicles expected to move in each direction of a signalized intersection.

4 is a flowchart for explaining a traffic light operating method according to the present invention.

Referring to FIG. 4, the traffic light operation method (hereinafter, abbreviated as 'traffic light operation method') using the initial queue processing and the traffic volume-density for each link according to the present invention is that the operation server 10 provides road condition information Link information detection step (S100) of extracting junk information of the target link by searching for and collecting the initial queue length, and the operation server 10 calculating the number of maximum space occupied by the link and the number of maximum space occupied by the queue. The number of vehicles calculation step (S200), the congestion queue detection step (S300) in which the operation server 10 detects the occurrence of a congested queue based on the traffic detection information provided from the total vehicle detection device, and the number of inflow vehicles for the target link and The congestion information calculation step (S400) of collecting the number of outflow vehicles and calculating the traffic volume-density of the target link based on this, and the operation server 10 compares and analyzes the traffic volume-density stored for each current period to determine the increase or decrease in traffic volume-density. and a traffic light control step (S500) of generating sensitive control information and transmitting the sensitive control information to reach a traffic light controller.

In the link information detection step (S100) constituting the traffic light operation method according to the present invention, the operation server 10 searches for road condition information and extracts link information including the length of the link and the number of lanes in which the vehicle detection device 20 is installed. do. In the link information detection step (S100), the operation server 10 collects the length of the initial queue formed between the link detection area, which is the detection area of the all-vehicle detection device 20, and the stop line at the front signal intersection.

If necessary, the traffic light operation method according to the present invention may further include a traffic information storage step prior to the link information detection step (S100).

In the traffic information storage step, the operation server 10 uploads through an input means or downloads through an external server, road condition information for each signal intersection, signal condition information, traffic history information accumulated with traffic detection information, and environmental conditions Information can be stored in the traffic information DB.

In the traffic information storage step, the operation server 10 collects traffic detection information from the total vehicle detection device 20 and stores it in the traffic information DB, collects distributed traffic volume information from the distributed information detection devices 30 and 40, and Information can be stored in DB.

In the step of calculating the standard number of occupied vehicles constituting the traffic light operating method according to the present invention (S200), the operation server 10 calculates the maximum number of vehicles occupying the link space with the preset average vehicle length, link length, and number of lanes, and the average vehicle Calculate the maximum number of occupied spaces in the queue with the length, initial queue length, and number of lanes.

In the congested queue detection step (S300) constituting the traffic light operation method according to the present invention, The operation server 10 detects the occurrence of a congested queue formed by moving or stopping at a predetermined congestion speed or less based on the traffic detection information provided from the vehicle detection device 20 and generates queue generation information. At this time, the operation server 10 does not generate queue generation information when the occurrence of a congested queue is not detected, and generates queue generation information when the occurrence of a congested queue is detected.

In the congestion information calculation step (S400) constituting the traffic light operation method according to the present invention, when the occurrence of the congestion queue is detected through the congestion queue detection step (S300), the operation server 10 enters the target link during one display period. The number of inflow vehicles and the number of outflow vehicles flowing out from the target link during one display period are collected from the outside, the number of inflow vehicles is added to the number of vehicles occupying the maximum space in the queue of the target link, and the number of outflow vehicles is subtracted. Divide by the maximum number of space-occupying vehicles to calculate the traffic volume-density of the target link.

In the traffic light control step (S500) constituting the traffic light operation method according to the present invention, the operation server 10 compares and analyzes the traffic volume-density stored for each present period, and includes a new lighting time and output cycle according to the increase or decrease in traffic volume-density. The sensitive control information is generated, and the sensitive control information is transmitted to reach the signal controller installed at the front signal intersection.

In the link information detection step (S100), the reference number of occupied vehicles calculation step (S200), the congestion queue detection step (S300), the congestion information calculation step (S400), and the traffic light control step (S500), Since detailed configurations are used, redundant contents are omitted.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art can variously modify and change the present invention without departing from the spirit and scope of the present invention described in the claims below. You will understand that you can.

10: operation server 11: link information detection unit
12: standard number of occupied vehicles calculation unit 13: congestion information calculation unit
14: signal control unit 15: queue generation reading unit
16: storage unit 20: all-vehicle detection device
30: rear distributed information detection device 40: front distributed information detection device

Claims (10)

Through the communication network, the road condition information of traffic safety facilities stored in the server of the managing body is searched, and link information including the link length and number of lanes of the target link located between the front signal intersection and the rear signal intersection is extracted, and one valid green a link information detection unit that collects the length of an initial queue that can pass through all signalized intersections during the time period;
A reference number of occupied vehicles calculation unit for calculating the maximum number of vehicles occupying space in a link with the link length, number of lanes, and preset average vehicle length, and calculating the maximum number of vehicles occupying space in a queue with the initial queue length, number of lanes, and average vehicle length. and,
The number of inflow vehicles flowing into the target link during one display period and the number of outflow vehicles flowing out from the target link during one display period are collected from the outside, and the number of inflow vehicles is added to the number of vehicles occupying the maximum space in the queue of the target link A congestion information calculation unit that calculates the traffic volume-density of the target link by dividing the number of outflow vehicles by the number of vehicles occupying the maximum space of the link and stores it; and
By comparing and analyzing the traffic volume-density stored at each current period, responsive control information including new lighting time and output period is generated according to the increase or decrease in traffic volume-density, and the responsive control information is transmitted to the signal controller installed at the traffic intersection ahead. A traffic light operation system using accumulated traffic-density including an operation server including a signal control unit that transmits to reach. According to claim 1,
a transmission vehicle detection device installed in the target link, generating traffic detection information including the speed of a moving flow passing through a preset link detection area, vehicle type, and number of vehicles, and transmitting the traffic detection information to the operation server;
It is installed in each direction at the rear signalized intersection located at the rear of the link, and detects the movement flow running in the detection area set for each direction of the rear signalized intersection according to the display period of the traffic light. a rear distributed traffic information detection device generating included rear distributed traffic volume information and transmitting the rear distributed traffic volume information to the operation server; and
It is installed in each direction at the front signal intersection located in front of the target link, and flows out per link during one display period by detecting the moving flow running in the detection area set for each direction of the front signal intersection according to the display period of the traffic light. A traffic light operation system using accumulated traffic-density, characterized in that it further comprises a front distributed traffic information detection device for generating forward distributed traffic volume information including the number and transmitting the forward distributed traffic volume information to the operation server. According to claim 2 or 3,
The operation server analyzes the traffic detection information provided from the all-transport vehicle detection device installed in the target link, reads the occurrence of a congested queue formed by moving or stopping at a predetermined congestion speed or less, and generates queue generation information, and the queue generation information Further comprising a queue generation reading unit providing a congestion information calculating unit,
The congestion information calculation unit adds the number of vehicles inflow to the number of vehicles occupying the maximum space in the queue of the target link, subtracts the number of vehicles outflow, and divides the number of vehicles by the number of vehicles occupying the maximum space in the link when the queue generation information is provided from the queue generation reader. - Traffic light operation system using accumulated traffic-density, characterized in that it calculates the density. The method of claim 2, wherein the congestion information calculator
It is connected to the signal controller of the pedestrian traffic light installed at the U-turn point, and the pedestrian green time at the U-turn point reflecting the time difference for the separation distance from the U-turn point installed on the target link to the vehicle detection device is designated as the U-turn detection time. During the detection time, the number of vehicles passing through the detection area provided by the vehicle detection device is calculated as the number of U-turn vehicles, and the number of inflow vehicles and the number of U-turn vehicles are added to the number of vehicles occupying the maximum space in the queue of the target link, and the number of outflow vehicles is subtracted A traffic light operating system using accumulated traffic-density, characterized in that the traffic-density of the target link is calculated by dividing by the number of vehicles occupying the maximum space of the post-link. The method of claim 4, wherein the U-turn detection time is
Accumulation characterized in that the time difference calculated by dividing the distance from the U-turn point installed on the target link to the vehicle detection device at the start time and end time of the pedestrian green time by the road limit speed of the target link is reflected respectively A traffic light operation system using traffic volume-density. The method of claim 1, wherein the signal control unit
When the traffic volume-density stored for each current period increases, responsive control information for reducing the effective green time for managing the movement of the moving flow flowing into the target link is generated so that the number of vehicles flowing into the target link decreases, and the responsive control information A traffic light operation system using accumulated traffic-density, characterized in that transmitted to reach the signal controller installed at the signalized intersection ahead. The method of claim 6, wherein the signal control unit
When the traffic volume-density stored for each current period increases, responsive control information for reducing the effective green time managing the movement of the moving flow flowing out from the target link is generated so that the number of vehicles flowing out of the target link increases, and the responsive control information A traffic light operation system using accumulated traffic-density, characterized in that transmitted to reach the signal controller installed in the rear signal intersection. According to claim 1,
Connected to the link information detection unit, the reference number of occupied vehicles calculation unit, the congestion information calculation unit, and the signal control unit, the link information , the initial queue length , the maximum number of vehicles occupying space in the queue, the number of inflow vehicles, the number of outgoing vehicles, traffic volume- A traffic light operating system using accumulated traffic-density, characterized in that it further comprises a storage unit for storing density and sensitive control information. According to claim 1,
The reference number of occupied vehicles calculates the maximum number of vehicles occupying space in the queue based on the average length, the number of lanes, and the average vehicle length of the initial queue accumulated during a preset period, and sets the maximum number of vehicles occupying space in the queue as a fixed coefficient;
The congestion information calculation unit calculates the traffic volume-density of the target link by adding the number of inflow vehicles to a fixed coefficient according to the setting of the initial queue, subtracting the number of outflow vehicles, and then dividing by the number of vehicles occupying the maximum space of the link. A traffic light operation system using accumulated traffic-density. The operation server retrieves the road condition information of the traffic safety facilities stored in the management subject server through the communication network, extracts link information including the link length and number of lanes of the target link where the vehicle detection device is installed, and collects the initial queue length link information detection step;
Calculating the maximum number of vehicles occupied by the operation server based on the preset average vehicle length, link length, and number of lanes, and calculating the maximum number of vehicles occupying the queue space based on the average vehicle length, initial queue length, and number of lanes. ;
A congested queue detection step of detecting the occurrence of a congested queue formed when the operation server moves below a pre-specified congestion speed or stops based on traffic detection information provided from an all-vehicle detection device;
When the occurrence of the congestion queue is detected, the operation server collects the number of inflow vehicles flowing into the target link during one display period and the number of outflow vehicles flowing out of the target link during one display period from the outside, and the maximum queue space of the target link. a congestion information calculating step of calculating the traffic volume-density of a target link by adding the number of inflow vehicles to the number of occupied vehicles, subtracting the number of outflow vehicles, and then dividing by the maximum number of vehicles occupying a link space; and
The operation server compares and analyzes the traffic volume-density stored at each current period to generate sensitive control information including a new lighting time and output period according to the increase or decrease in traffic volume-density, and the sensitive control information is transmitted to the signalized intersection ahead. A traffic light operation method using accumulated traffic volume-density including a traffic light control step for transmission to reach an installed signal controller.

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