KR101114769B1 - Apparatus for Simulating Intelligent Transport Network Using Carbon Emission Information - Google Patents

Abstract

According to an aspect of the present invention, a device capable of simulating an intelligent transportation network using carbon emission information may be configured to use the intelligent transportation network using the carbon emission information collected according to a scenario for collecting carbon emission information in an intelligent transportation network. An air pollution rating calculator for calculating an air pollution rating at And a control command generation unit configured to generate a control command for at least one of the intelligent facilities constituting the intelligent traffic network and the intelligent transportation means such that the air pollution level is less than or equal to a target air pollution level.

Description

Apparatus for Simulating Intelligent Transport Network Using Carbon Emission Information}

The present invention relates to a simulation apparatus, and more particularly, to an intelligent traffic network simulation apparatus using carbon emission information.

Attention has been paid to various traffic problems related to the traffic congestion, traffic accident, traffic environment, traffic service, etc., which are gradually increasing due to the increase of vehicles, and a simulation device that can simulate the traffic flow to solve such traffic problems. have.

In particular, in recent years, intelligent transportation and intelligent facilities have been developed to automatically control traffic flow according to the traffic environment, so that the traffic flow can be simulated using an intelligent transportation network in which these intelligent facilities or intelligent transportation are integrated. A device that can be developed is being developed.

Here, the intelligent facility means a facility whose state can be adaptively adjusted according to various traffic environments, and the intelligent transport means can automatically adjust the state of the transportation means through communication with the intelligent facility or other intelligent means of transportation. Means transportation.

On the other hand, in recent years, interest in carbon emissions is spreading worldwide due to global warming and abnormal climate. As a result, international consultations and studies such as the Global Carbon Project and the Kyoto Protocol are being conducted in various countries.

In particular, as the demand for vehicles increases with increasing carbon demand, technical research on measurement and analysis of carbon emissions is required. However, in the past, the accuracy of the carbon emission was measured and collected by stopping the vehicle to be measured for carbon emission measurement and analysis, and placing a manual toxic gas detector on the vehicle exhaust pipe to check the numerical value. The problem is that there is a limit to data collection.

Therefore, there is a need for an apparatus for simulation technology that can measure and interpret carbon emissions on an intelligent transportation network.

SUMMARY OF THE INVENTION The present invention has been made in view of the above-described problem, and an object thereof is to provide an apparatus capable of simulating an intelligent transportation network using carbon emission information.

In addition, another object of the present invention is to provide an intelligent traffic network simulation apparatus using carbon emission information that can control the air pollution in the intelligent traffic network using the simulation results.

In addition, another technical problem of the present invention is to provide an intelligent traffic network simulation apparatus using carbon emission information that can reduce the time and cost required to actually build an intelligent traffic network.

An intelligent traffic network simulation apparatus using carbon emission information according to an aspect of the present invention for achieving the above object is the intelligent information using the carbon emission information collected according to a scenario for collecting carbon emission information in an intelligent traffic network. An air pollution rating calculator for calculating an air pollution rating in the traffic network; And a control command generation unit configured to generate a control command for at least one of the intelligent facilities constituting the intelligent traffic network and the intelligent transportation means such that the air pollution level is less than or equal to a target air pollution level.

The intelligent traffic network simulation apparatus using carbon emission information according to another aspect of the present invention for achieving the above object is, when the carbon emission information collection command is received in the intelligent traffic network, the driving of the intelligent transportation means during the carbon emission information collection cycle Carbon emissions basics, including at least one of the following: fuel efficiency of intelligent transportation based on occupancy, fuel consumption of intelligent transportation per cycle of carbon emission information collection, fuel consumption per minute of intelligent transportation, and emissions of intelligent transportation And a carbon emission information generation unit configured to generate carbon emission information of the intelligent transportation means by using a predetermined carbon emission information generation algorithm.

An intelligent traffic network simulation apparatus using carbon emission information according to another aspect of the present invention for achieving the above object generates and collects a carbon emission information collection command according to a scenario for collecting carbon emission information in an intelligent traffic network. An intelligent traffic network control unit configured to control the intelligent traffic network by calculating an air pollution level using the collected carbon emission information; A carbon emission information collecting unit configured to search for an intelligent means of transportation for which the carbon emission information is collected according to the carbon emission information collection command, collect carbon emission information of the retrieved intelligent means of transportation, and provide it to the intelligent transportation network; And a carbon emission information generation unit configured to generate carbon emission information of the retrieved intelligent transportation means and provide the carbon emission information collection unit.

According to the present invention, there is an effect that can effectively simulate the intelligent transportation network using the carbon emissions information.

In addition, the present invention has the effect of controlling the air pollution in the intelligent traffic network by controlling the intelligent traffic network using the simulation results.

In addition, the present invention can use the carbon emission simulation results when building the actual intelligent transportation network has the effect that it is possible to reduce the time and cost required to build the actual intelligent transportation network.

1 is a block diagram showing a schematic configuration of an intelligent traffic network simulation apparatus using carbon emission information according to an embodiment of the present invention.
FIG. 2 is a block diagram showing a schematic configuration of the intelligent traffic network controller shown in FIG.
3 is a block diagram showing a schematic configuration of the carbon emission information collecting unit shown in FIG.
4 is a block diagram showing a schematic configuration of the carbon emission information generation unit shown in FIG.
5 is a block diagram showing a schematic configuration of an intelligent traffic network simulation apparatus using carbon emission information according to another embodiment of the present invention.
6 is a flowchart showing an intelligent traffic network simulation method using carbon emission information according to an embodiment of the present invention.

Prior to the description of the present invention, terms used in the present invention will be briefly described. Among the terms used in the present invention, the intelligent traffic network refers to a traffic network in which intelligent facilities and intelligent transportation are integrated.

Here, the intelligent facility means a facility whose state can be adaptively adjusted according to the surrounding traffic environment. Such intelligent facilities include intelligent safety facilities, intelligent noise reduction facilities, intelligent road kill prevention facilities, intelligent defense facilities, intelligent windproof facilities, intelligent roadside-telecommunication communication facilities, intelligent access control facilities, and intelligent fare calculation facilities.

In addition, the intelligent means of transportation means a vehicle equipped with an intelligent terminal capable of communicating with the above-described intelligent facilities or other intelligent means of transportation, and its state may be adaptively adjusted by using information received from the intelligent facilities or other means of intelligent transportation. As a means of transportation. At this time, the intelligent terminal mounted on the intelligent transportation may semi-automatically reflect the information received from the intelligent facility or other intelligent transportation.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a schematic block diagram of an intelligent traffic network simulation apparatus using carbon emission information according to an embodiment of the present invention. As shown, the intelligent traffic network simulation apparatus 100 using the carbon emission information according to the present invention can simulate the traffic flow on the intelligent traffic network 110, the intelligent traffic network control unit 120, carbon emissions And an information collecting unit 130 and a carbon emission information generating unit 140.

In one embodiment, the carbon emission information collecting unit 130 and the carbon emission information generating unit 140 may be implemented in plurality.

First, the intelligent traffic network controller 120 receives a scenario for collecting carbon emission information on the intelligent traffic network 110, and generates a carbon emission information collection command according to the received scenario. In addition, by using the carbon emissions information collected in response to the carbon emission information collection command to calculate the air pollution level of the intelligent traffic network 110 serves to control the intelligent traffic network 110.

In one embodiment, the carbon emission information may be carbon emission or carbon emission concentration. Hereinafter, for convenience of explanation, it is assumed that the carbon emission information means carbon emission, but the present invention is not limited thereto.

The configuration of the intelligent traffic network controller 120 will be described in more detail with reference to FIG. 2.

2 is a block diagram schematically illustrating a configuration of an intelligent traffic network controller according to an embodiment of the present invention. As shown in the drawing, the intelligent traffic network controller 120 controls the first data transceiver 122, the carbon emission collection command generator 124, the air pollution class calculator 126, and the control command generator 128. Include.

First, the first data transceiver 122 receives a scenario for collecting carbon emission information on the intelligent transportation network 110.

In one embodiment, the scenario for collecting carbon emission information is scenario identifier information, information on the start time and end time of the scenario, the information of the intelligent transportation to collect the carbon emission information, time to be collected carbon emission information At least one of the information, the section information to collect the carbon emission information, the information on the air pollution level by air pollution degree, the target air pollution level information in the intelligent transport network.

In this case, the time information to be collected carbon emission information may include information on the start time and end time of the carbon emission measurement and information on the collection time of the carbon emission information. In addition, the section information to be collected carbon emission information may include information on the start and end points of the section to be measured carbon emissions.

Meanwhile, the air pollution level by air pollution degree may be included in the scenario in the form of a table in which the air pollution level and the air pollution level are matched as shown in Table 1 below.

Air pollution level (grade) Air Pollution Degree (㎍ / ㎥) One 100-200 2 200-300 3 300-400 4 400-500 5 500-600

In addition, the first data transmission / reception unit 122 transmits the carbon emission information collection command generated by the carbon emission information collection command generation unit 124 to the carbon emission information collection unit 130 or the carbon emission information generation unit ( 140, and receives carbon emission information corresponding to the carbon emission information collection command from the carbon emission information collecting unit 130 and provides the same to the air pollution level analyzing unit 126.

In addition, the first data transmission / reception unit 122 transmits a control command for the intelligent traffic network 110 generated by the control command generation unit 128 to the intelligent traffic network 110.

Next, the carbon emission information collection command generation unit 124 generates a carbon emission information collection command using the information included in the scenario. In one embodiment, the carbon emission information collection command generation unit 124 may generate a carbon emission information collection command in a schedule format, wherein the schedule is a carbon emission measurement start time and end time, carbon emission information collection cycle, carbon It includes information on the start and end points of the section to be measured emissions, and the intelligent means of transportation to be measured carbon emissions.

Next, the air pollution level calculator 126 calculates the air pollution level in the intelligent traffic network 110 by using the carbon emission information of the intelligent transportation means received through the first data transceiver 122.

Specifically, the air pollution level calculation unit 126 first calculates the air pollution degree using carbon emission information of the intelligent transportation means. In one embodiment, the air pollution grade calculator 126 may calculate the air pollution degree by adding the carbon pollution degree and the fine dust pollution degree. In this case, the carbon pollution degree may be defined as carbon emissions per unit volume.

Next, the air pollution grade calculator 126 calculates the air pollution grade in the intelligent transportation network 110 by using the calculated air pollution degree. At this time, the air pollution level calculator 126 may calculate the air pollution level in the intelligent traffic network 110 using the air pollution degree and air pollution level matching table included in the scenario.

For example, if the calculated air pollution degree is 400 µg / m 3 and it is assumed that the air pollution level is calculated using a table as shown in Table 1, the air pollution rating calculator 126 may determine the air pollution level in the intelligent transportation network 110. Will yield 4 grades.

Next, the control command generation unit 128 generates a control command for controlling the intelligent traffic network 110 so that the air pollution level of the intelligent traffic network 110 is less than or equal to the target air pollution level included in the scenario. In one embodiment, the control command may be a control command for the intelligent transportation constituting the intelligent transportation network 110 or a control command for the intelligent facility.

That is, if the air pollution level of the intelligent traffic network 110 is different from the target air pollution level, the control command generation unit 128 controls the intelligent traffic network 110 appropriately to control the air pollution level of the intelligent traffic network 110. The target air pollution level is to be below.

For example, when the target air pollution grade included in the scenario is three grades and the air pollution grade calculated by the air pollution grade calculating unit 126 is four grades, the control command generation unit 128 may measure the carbon emission information. In order to reduce air pollution in the section, a speed limit change command may be generated to change the speed limit of the section from 100 km / h to 130 km / h. Accordingly, the first data transmission / reception unit 122 provides the speed limit change command to the intelligent variable information board of the intelligent traffic network 110 so that the speed limit in the corresponding section is changed.

As another example, the control command generation unit 128 may reduce the number of intelligent means of transportation in the section by reducing the entry vehicle into the section, the intelligent access control facility to reduce the air pollution in the section. You might be able to generate a command.

As another example, the control command generation unit 128 may generate a command for changing the appearance period in the intelligent transportation network or a command for adjusting the distance between the intelligent transportation to reduce the air pollution.

Referring back to FIG. 1, the carbon emission information collecting unit 130 searches for an intelligent transportation means for collecting carbon emission information corresponding to the carbon emission collection command transmitted from the intelligent transportation network control unit 120, and retrieves the retrieved intelligent transportation. Carbon emission information on the means is collected from the carbon emission information generation unit 140 and provided to the intelligent traffic network control unit 120.

The carbon emission information collecting unit 130 will be described in more detail with reference to FIG. 3.

3 is a schematic block diagram of the carbon emission information collecting unit 130 according to an embodiment of the present invention. As shown, the carbon emission information collection unit 130 includes a second data transmission and reception unit 132, an intelligent transportation search unit 134, and a carbon emission information classification unit 136.

First, the second data transceiver 132 receives a carbon emission information collection command from the intelligent traffic network controller 120 and provides the command to the intelligent transportation search unit 134. In this case, the carbon emission information collection command may be generated in a schedule format as described above.

In addition, the second data transceiver 132 receives the carbon emission information of the intelligent transportation means transmitted from the carbon emission information generation unit 140 and provides it to the carbon emission information classification unit 136.

In addition, the second data transmission / reception unit 132 provides the carbon emission information classified by the carbon emission information classification unit 136 to the intelligent traffic network control unit 120.

Next, the intelligent transportation search unit 134 may collect carbon emission information by using information on the intelligent transportation included in the carbon emission information collection command received through the second data transceiver 132. The intelligent transportation is searched on the intelligent transportation network 110.

For example, when the intelligent transportation means to collect carbon emission information is a truck, the intelligent transportation search unit 134 searches for all trucks existing on the intelligent transportation network 110, and the intelligent transportation information to be collected is carbon intelligent information. When the transportation means is a bus, the intelligent transportation searching unit 134 searches for all buses existing on the intelligent transportation network 110.

Next, the carbon emission information classification unit 136 classifies the carbon emission information of the intelligent transportation means received through the second data transmission and reception unit 132 according to the information included in the scenario, and classifies the classified carbon emission information. 2 is transmitted to the intelligent traffic network control unit 120 through the data transmission and reception unit 132.

In this case, the carbon emission information classification unit 136 may transmit the carbon emission information at a predetermined transmission period or time period.

In one embodiment, the carbon emission information classification unit 136 may classify the carbon emission information of the intelligent transportation by the type of the intelligent transportation, or by the carbon emission information collection cycle or the carbon emission information collection time period.

Meanwhile, the carbon emission information classification unit 136 may add metadata to the classified carbon emission information including carbon emission information identifier, tag information, generation time, identifier of carbon emission information collection unit, and the like for distinguishing carbon emission information. Can be.

In the above-described embodiment, each carbon emission information collecting unit 130 is described as directly transmitting the carbon emission information collected from the carbon emission information generation unit 140 to the intelligent traffic network control unit 120. However, in the modified embodiment, any one of the plurality of carbon emission information collecting units may collect the carbon emission information collected by the other carbon emission information collecting units and transmit the collected carbon emission information to the intelligent transportation network controller 120. There will be.

According to this embodiment, the second data transmission and reception unit included in any one of the carbon emission information collection unit for collecting the carbon emission information of the other carbon emission information collection unit receives the carbon emission information received from the other carbon emission information collection unit. Collect and transmit to the intelligent traffic network control unit 120. In addition, the second data transmission and reception unit included in the other carbon emission information collecting unit transmits carbon emission information to any one carbon emission information collecting unit, not the intelligent transportation network control unit 120.

Referring back to FIG. 1, the carbon emission information generation unit 140 generates carbon emission information by using driving state data of an intelligent vehicle that is a carbon emission information collection target according to a carbon emission information collection command.

The configuration of the carbon emission information generation unit 140 will be described in more detail with reference to FIG. 4.

4 is a schematic block diagram of the carbon emission information generation unit 140 according to an embodiment of the present invention. As shown, the carbon emission information generation unit 140 includes a third data transmission and reception unit 142, a driving state data acquisition unit 144, a carbon emission basic data generation unit 146, and an algorithm calculation unit 148. do.

First, the third data transmission / reception unit 142 receives a carbon emission collection command from the intelligent traffic network control unit 110 or the carbon emission information collection unit 120.

In addition, the third data transmission and reception unit 142 transmits the carbon emission information of the intelligent vehicle generated by the algorithm calculation unit 148 to the carbon emission information collection unit 130.

Next, the driving state data acquisition unit 144 obtains the driving state data of the intelligent transportation means retrieved by the carbon emission information collecting unit 130.

In one embodiment, the driving status data of the intelligent means of transportation, the type, weight, current driving speed, acceleration and deceleration speed, starting point and destination information, occupant, fuel economy, type of fuel, number of engine cylinders It may include at least one of the information, the amount of exhaust gas per cylinder, and RPM.

Next, the carbon emission basic data generation unit 146 processes the driving state data acquired by the driving state data acquisition unit 144 to generate carbon emission basic data.

In one embodiment, the carbon emission basic data may include at least one of a mileage during a carbon emission collection cycle, fuel economy based on occupant, fuel consumption per collection cycle, fuel consumption per minute, and an amount of exhaust gas of the intelligent vehicle. Can be.

For example, the carbon emission basic data generation unit 146 may calculate the driving distance during the carbon emission collection period by multiplying the current driving speed of the intelligent transportation means and the carbon emission information collection period.

In addition, the carbon emission basic data generation unit 146 may calculate the fuel economy based on the occupant by adding a value obtained by multiplying the occupant and the fuel economy correction coefficient and the fuel economy of the intelligent transportation means.

In addition, the carbon emission basic data generation unit 146 may calculate the fuel consumption per carbon emission collection cycle by dividing the driving distance during the carbon emission collection cycle by fuel economy based on the occupant.

In addition, the carbon emission basic data generator 146 may calculate the fuel consumption per minute by multiplying the number of engine cylinders, the displacement per cylinder, the RPM, and the fuel consumption coefficient.

In addition, the carbon emission basic data generation unit 146 may calculate the carbon emission based on a value obtained by multiplying a fuel consumption per carbon emission collection cycle by a first predetermined weight, and a value by multiplying the fuel consumption per minute by a second predetermined weight. The larger of the second values divided by the collection period may be calculated as the exhaust gas amount of the intelligent vehicle.

Next, the algorithm calculating unit 148 generates carbon emission information by calculating a predetermined carbon emission information generation algorithm using the carbon emission basic data generated by the carbon emission basic data generation unit 146.

For example, the algorithm operator 148 may calculate carbon emissions by multiplying the exhaust gas amount by a carbon emission coefficient.

Meanwhile, the algorithm operator 148 adds metadata including unique identifier, tag information, generation time, information of intelligent transportation, and the like to the calculated carbon emission information, and transmits the carbon through the third data transceiver 142. It may be provided to the discharge information collecting unit 130.

In the above-described embodiment, the intelligent traffic network controller 120, the carbon emission information collecting unit 130, and the carbon emission information generating unit 140 have been described as being applied to the simulation apparatus 100. In this case, the intelligent traffic network control unit 120, the carbon emission information collecting unit 130, and the carbon emission information generating unit 140 may be applied to the actual intelligent traffic network instead of the simulation apparatus 100.

According to this embodiment, the intelligent traffic network control unit 120 is mounted on the server of the traffic control center for controlling the intelligent traffic network, the carbon emission information collecting unit 130 is installed at a predetermined interval on the intelligent highway, carbon emissions The information generator 140 may be mounted on an intelligent transportation means.

In addition, in the above-described embodiment, the intelligent traffic network controller 120, the carbon emission information collecting unit 130, and the carbon emission information generating unit 140 have been described as separate components, but all of these functions are performed. It could be composed of one module that can do it. This embodiment will be described in more detail with reference to FIG. 5.

5 is a schematic block diagram of an intelligent traffic network simulation apparatus according to carbon emission information according to another embodiment of the present invention. As shown, the simulation apparatus 500 is a data transmission and reception unit 510, carbon emission information collection command generation unit 520, intelligent means of transportation search unit 530, driving state data acquisition unit 540, carbon emissions The basic data generator 550, the algorithm operator 560, the carbon emission information classifier 570, the air pollution class calculator 580, and the control command generator 590 may be included.

Functions of the respective elements illustrated in FIG. 5 are the same as those of the elements described in FIGS. 2 to 4, and thus, detailed descriptions thereof will be omitted.

Hereinafter, a simulation method of an intelligent traffic network using carbon emission information according to the present invention will be described with reference to FIG. 6.

6 is a flowchart illustrating a simulation method of an intelligent transportation network using carbon emission information according to an embodiment of the present invention.

First, a scenario for collecting carbon emission information in an intelligent transportation network is received (S600). In one embodiment, such scenarios include scenario identifier information, information about the start time and end time of the scenario, information on the intelligent transportation to be collected carbon emission information, time information to be collected carbon emission information, carbon emission information At least one of the section information to be collected, information on the air pollution level by air pollution degree, and target air pollution level information in the intelligent transportation network.

Next, a carbon emission information collection command for collecting carbon emission information is generated (S610). In one embodiment, the carbon emission information collection command may be generated in a schedule format, wherein the schedule may include a carbon emission measurement start time and end time, a carbon emission information collection period, and a start and end of a section to be measured for carbon emission. Information about the point, and the intelligent transportation to be measured for carbon emissions.

Next, according to the carbon emission collection command to search for intelligent transportation means to collect the carbon emission information (S620), and obtains the driving state data of the retrieved intelligent transportation means (S630). At this time, the driving status data may include at least one of the type, weight, current driving speed, acceleration / deceleration speed, speed limit, starting and destination information, occupant, fuel economy, fuel type, number of engine cylinders, amount of exhaust gas per cylinder, and RPM. It can contain one piece of information.

Next, the driving state data of the obtained intelligent transportation means is processed to generate the carbon emission basic data (S640). In one embodiment, the carbon emission basic data may include at least one of the mileage during the carbon emission collection cycle, fuel economy based on the occupant, fuel consumption per collection cycle, fuel consumption per minute, and the amount of exhaust gas of the intelligent vehicle. have.

Next, carbon emission information is generated by calculating a predetermined carbon emission information generation algorithm using the carbon emission basic data (S650). For example, the carbon emission information of the intelligent transportation means may be generated by multiplying the exhaust gas amount by the carbon emission coefficient.

Next, the generated carbon emission information is collected at predetermined cycles and classified according to a predetermined criterion (S660). In one embodiment, the carbon emission information may be classified according to the type of intelligent transportation to which the carbon emission information is collected.

Next, the air pollution degree in the intelligent transportation network is calculated using the classified carbon emission information (S670), and the air pollution level in the intelligent transportation network is calculated using the calculated air pollution degree (S680).

In one embodiment, the air pollution level can be calculated by adding the carbon pollution degree calculated using the carbon emission information and the predetermined fine dust pollution degree, and the air pollution grade is the air pollution degree and air pollution grade matching table included in the scenario. In the air pollution degree matched with the calculated air pollution degree can be determined.

Then, when the calculated air pollution level is different from the target air pollution level included in the scenario, the intelligent traffic network is controlled so that the air pollution level is less than or equal to the target air pollution level (S690). In detail, a command for controlling at least one of the intelligent transportation means and the intelligent facilities constituting the intelligent transportation network is generated and transmitted to the intelligent transportation network such that the air pollution level of the intelligent transportation network is less than or equal to the target air pollution degree.

The intelligent traffic network simulation method according to the above carbon emission information may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer-readable recording medium. In this case, the computer-readable recording medium may include program instructions, data files, data structures, and the like, alone or in combination. On the other hand, the program instructions recorded on the recording medium may be those specially designed and configured for the present invention or may be available to those skilled in the art of computer software.

On the other hand, those skilled in the art will understand that the present invention described above can be implemented in other specific forms without changing the technical spirit or essential features.

Therefore, it is to be understood that the embodiments described above are exemplary in all respects and not restrictive. The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. do.

100: simulation device 110: intelligent transportation network
120: intelligent traffic network control unit 130: carbon emission information collection unit
140: carbon emission information generation unit

Claims (26)

An air pollution rating calculator configured to calculate an air pollution level in the intelligent traffic network using the carbon emission information collected according to a scenario for collecting carbon emission information in an intelligent traffic network; And
And a control command generation unit configured to generate a control command for at least one of the intelligent facilities constituting the intelligent traffic network and the intelligent transportation means such that the air pollution level is less than or equal to a target air pollution level. Intelligent traffic network simulation device. The method of claim 1,
The air pollution grade calculator determines an air pollution level matched with the air pollution degree calculated using the carbon emission information as an air pollution level in the intelligent traffic network. Simulation device. The method of claim 2,
The carbon emission information is carbon emissions, and the air pollution level is calculated by adding a carbon pollution degree and a predetermined fine dust pollution degree defined as carbon emission per unit volume. The method of claim 1,
The intelligent facility is a facility in which the operating state is adaptively adjusted according to the traffic environment, and the intelligent means of transportation is a means of transportation in which the operating state is adaptively controlled through communication with the intelligent facility or other intelligent means of transportation. Traffic network simulation device. The method of claim 1,
Intelligent traffic network simulation apparatus using the carbon emission information further comprises a carbon emission collection command generation unit for generating a carbon emission information collection command according to the scenario. The method of claim 1,
The method may further include: a carbon emission information collecting unit configured to search for an intelligent vehicle that is the object of collecting carbon emission information according to the scenario, collect carbon emission information of the found intelligent vehicle, and provide the carbon emission information to the air pollution level calculator; Intelligent traffic network simulation device using carbon emission information. The method of claim 1,
And a carbon emission information generation unit configured to generate the carbon emission information by using the driving state data of the intelligent vehicle that is the carbon emission information collection target. The method of claim 1,
The carbon emission information may include the driving distance of the intelligent vehicle, the fuel consumption of the intelligent vehicle based on the occupant, the fuel consumption of the intelligent vehicle, the fuel consumption per minute of the intelligent vehicle, And a carbon emission basic data including at least one of exhaust gas amount of the intelligent transportation means. The method of claim 1,
The carbon emission information may include information about the type, weight, current driving speed, acceleration / deceleration speed, speed limit, starting point and destination information, occupant, fuel economy, fuel type, number of engine cylinders, displacement per cylinder, and RPM. Intelligent traffic network simulation apparatus using carbon emission information, characterized in that generated using the driving state data of the intelligent means of transportation including at least one information. The method of claim 1,
And a data transceiving unit for receiving the scenario and transmitting the control command to at least one of the intelligent transportation means and the intelligent facilities. The method of claim 1,
The scenario information may include information of the intelligent transportation means to be collected, carbon time information to be collected, section information to be collected from the carbon emission information, and targets in the intelligent transportation network. Intelligent traffic network simulation apparatus using carbon emission information, characterized in that it comprises at least one of air pollution rating information. The method of claim 1,
The scenario information may include at least one of scenario identifier information, information on a start time and an end time of a scenario, and information on an air pollution level for each air pollution degree. . The method of claim 1,
An intelligent transportation network simulation apparatus using carbon emission information further comprising: a transportation means searching unit for searching for an intelligent transportation object to be the carbon emission information collection target on the intelligent transportation network. The method of claim 1,
The control command may include at least one of a quantity change command of the intelligent means of transportation, a speed limit change command of the intelligent means of transportation, a command to change a manifestation period in an intelligent traffic network, and a distance change command between intelligent means of transportation. Traffic network simulation device using carbon emission information. When a command for collecting carbon emission information from an intelligent transportation network is received, the mileage of intelligent transportation during the carbon emission information collection cycle, the fuel economy of intelligent transportation based on the occupants, the fuel consumption of intelligent transportation per carbon emission information collection cycle, Carbon emission information for generating carbon emission information of the intelligent transportation by using a carbon emission basic data including at least one of fuel consumption per minute of the intelligent transportation, and a predetermined carbon emission information generating algorithm; Generation unit; And
And an air pollution level calculation unit for calculating an air pollution level in the intelligent traffic network by using the carbon emission information. The method of claim 15, wherein the carbon emission information generation unit,
A driving state data acquisition unit for acquiring driving state data of an intelligent transportation means for collecting carbon emission information;
A carbon emission basic data generation unit for processing the driving state data to generate the carbon emission basic data; And
And an algorithm calculating unit for generating the carbon emission information by calculating a predetermined carbon emission information generation algorithm using the carbon emission basic data. 16. The method of claim 15,
The driving distance of the intelligent vehicle during the carbon emission collection period is a value obtained by multiplying the current driving speed of the intelligent vehicle by the carbon emission information collection period,
The fuel economy of the intelligent means of transportation based on the occupancy is a value obtained by multiplying the number of passengers of the intelligent means of transportation and the fuel economy correction coefficient and the fuel economy of the intelligent means of transportation,
The fuel consumption of the intelligent vehicle per the carbon emission information collection cycle is a value obtained by dividing the driving distance of the intelligent vehicle by the fuel economy of the intelligent vehicle based on the occupant during the carbon emission collection cycle,
The fuel consumption per minute of the intelligent vehicle is a value obtained by multiplying the number of engine cylinders, the displacement per cylinder, the RPM and the fuel consumption coefficient of the intelligent vehicle,
The exhaust gas amount of the intelligent vehicle may be a first value obtained by multiplying the fuel consumption of the intelligent vehicle by the carbon emission information collection period and a first predetermined weight, and the fuel consumption per minute of the intelligent vehicle and the second predetermined weight. Intelligent traffic network simulation apparatus using carbon emission information, characterized in that the multiplied value is the larger of the second value divided by the carbon emission collection period. delete 16. The method of claim 15,
A control command for generating a control command for at least one of the intelligent transportation means and the intelligent facilities constituting the intelligent transportation network such that the air pollution level of the intelligent transportation network calculated based on the carbon emission information is equal to or less than a target air pollution level; Intelligent traffic network simulation apparatus using the carbon emission information, characterized in that it further comprises a generator. An intelligent traffic network controller for generating a carbon emission information collection command according to a scenario for collecting carbon emission information in an intelligent traffic network and calculating an air pollution level using the collected carbon emission information to control the intelligent traffic network;
A carbon emission information collecting unit configured to search for an intelligent means of transportation for which the carbon emission information is collected according to the carbon emission information collection command, collect carbon emission information of the retrieved intelligent means of transportation, and provide it to the intelligent transportation network; And
And a carbon emission information generation unit configured to generate carbon emission information of the retrieved intelligent transportation means and provide the carbon emission information collection unit to the carbon emission information collection unit. The method of claim 20,
The carbon emission information generation unit processes the data of the intelligent transportation to generate carbon emission basic data, and the carbon emission basic data is intelligent during the carbon emission information collection cycle when a carbon emission information collection command is received from the intelligent transportation network. At least one of the mileage of the vehicle, the fuel economy of the intelligent vehicle based on the occupants, the fuel consumption of the intelligent vehicle per cycle of collecting carbon emissions information, the fuel consumption per minute of the intelligent vehicle, and the amount of exhaust gas of the intelligent vehicle; And generating the carbon emission information by calculating a predetermined carbon emission information generation algorithm using the carbon emission basic data. The method of claim 20,
The carbon emission information generation unit is mounted on the intelligent transportation means, and the carbon emission information collection unit is an intelligent transportation network simulation device using carbon emission information, characterized in that arranged at predetermined intervals on the intelligent highway constituting the intelligent transportation network. . The method of claim 20,
The carbon emission information collection unit is composed of a plurality,
The carbon emission information collection unit of any one of the plurality of carbon emission information collection unit collects the carbon emission information of the other carbon emission information collection unit and provides the carbon emission information to the intelligent transportation network controller at predetermined intervals. Intelligent traffic network simulation device. The method of claim 20,
The intelligent traffic network controller may control a control command for at least one of the intelligent transportation means and the intelligent facilities configuring the intelligent transportation network such that the air pollution level in the intelligent traffic network is equal to or less than a target air pollution level included in the scenario. Intelligent traffic network simulation apparatus using carbon emissions information, characterized in that the generation. The method of claim 20, wherein the intelligent traffic network control unit,
Controlling at least one of the number of intelligent transportation means constituting the intelligent transportation network, a speed limit of the intelligent transportation means, a manifestation period in the intelligent transportation network, and a distance between the intelligent transportation means. Intelligent Traffic Network Simulation Device The method of claim 20, wherein the carbon emission information generation unit,
The intelligent transportation means multiplying the driving distance of the intelligent transportation means, the occupant of the intelligent transportation means and the fuel economy correction coefficient during the carbon emission collection cycle, which is a value obtained by multiplying the current driving speed of the intelligent transportation means by the carbon emission information collection cycle, and the intelligent transportation means. The fuel economy of intelligent transportation based on the occupant, which adds the fuel economy of the vehicle, and the carbon emission information collection cycle, which is the value obtained by dividing the driving distance of the intelligent transportation by the fuel economy of the intelligent transportation based on the occupant The fuel consumption of the vehicle, the engine cylinder number of the intelligent vehicle, the displacement per cylinder, the fuel consumption per minute of the intelligent vehicle, which is the product of the RPM and the fuel consumption coefficient, the fuel consumption of the intelligent vehicle per the carbon emission information collection cycle, A first value multiplied by a first predetermined weight and the intelligence Using a carbon emission basic data comprising at least one of the amount of exhaust gas of the intelligent means of transportation, which is the greater of the second value obtained by multiplying the fuel consumption per minute of the vehicle by a second predetermined weight, by the carbon emission collection period. Intelligent traffic network simulation apparatus using the carbon emissions information, characterized in that for generating the carbon emissions information.

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