KR20150081942A - Method and System for Detecting Vehicle Information - Google Patents

Abstract

The present invention relates to a method for detecting vehicle data, and a system for detecting vehicle data which comprise: a vehicle detecting part which is buried in a certain road and is formed in a combination of a loop sensor and a piezo sensor; and a detecting part which measures the traffic by vehicle types by receiving data of a passing vehicle detected using the vehicle detecting part, calculates the passenger car converted effective traffic by converting the traffic by vehicle types into the weight of the passenger car in accordance with a passenger car conversion coefficient depending on predetermined geography and vehicle types, and calculates a saturation rate which is the proportion of the traffic passed in current cycle to maximum passable traffic capacity by applying the passenger car converted effective traffic, wherein the vehicle data detecting part is inserted into a traffic signal control device which is separated from the vehicle detecting part and is operated. By this, a saturation rate representing the state of vehicle movement can be calculated by applying a predetermined conversion coefficient and calculating the passenger car converted effective traffic which is converted in a unit of a passenger car applied with a predetermined conversion coefficient, thereby providing a system for detecting vehicle data and a method for detecting vehicle data which can secure reliability through an improvement in the accuracy of calculated values of the saturation rate.

Description

Technical Field [0001] The present invention relates to a vehicle information detection system and a vehicle information detection method,

The present invention relates to a vehicle information detecting system and a vehicle information detecting method. More particularly, the present invention relates to a vehicle information detecting system and a vehicle information detecting method that measures a vehicle according to a vehicle type, It is possible to provide a vehicle information detection system and a vehicle information detection method capable of improving the accuracy of the saturation degree calculation value and thereby assuring reliability by calculating the saturation degree indicating the communication state by calculating the converted effective traffic amount in terms of the converted passenger vehicle.

BACKGROUND ART An Automatic Vehicle Classification System (AVC) for Intelligent Transport System is a system in which a predetermined sensor is installed on a road in a buried type or a non-buried type, Collecting them in real time, and transmitting them to the traffic control center.

Based on the traffic data, the Traffic Control Center informs the traffic information on the traffic information boards installed on the road in real time and informs traffic conditions by time of day on various internet.

In general, a loop coil (loop coil) and a loop detecting device are often used to detect traffic information such as the presence of a vehicle, the traveling speed of a vehicle, and a vehicle type. The loop detection device detects a change in inductance generated in the loop coil due to a movement of the vehicle, and detects traffic information such as the presence or absence of the vehicle and the traveling speed of the vehicle.

On the other hand, the vehicular traffic state having an engineering meaning must determine the saturation state of the vehicle as the ratio of the traffic volume that has passed through the current period to the maximum trafficable traffic volume. In this method, there is a condition that the accurate saturation degree is determined when a medium or large sized vehicle is converted into a passenger car unit.

However, in the case of the conventional loop detection device, it is difficult to measure saturation using traffic volume because the vehicle type can not be distinguished. Conventionally, the degree of saturation is calculated as the ratio of the signal time used for passing the vehicle during the entire signal time.

Therefore, when calculating the degree of saturation using the loop detection device according to the related art, there is a difference from the actual degree of saturation of the road, which causes an error in measuring the traffic volume.

Korean Patent Laid-Open No. 10-2007-0039259: Low-cost Embedded Vehicle Information Detection System and Vehicle Information Detection Method

SUMMARY OF THE INVENTION Accordingly, the present invention has been made keeping in mind the above problems occurring in the prior art, and an object of the present invention is to provide a method and apparatus for estimating an effective traffic volume by measuring a vehicle according to a vehicle type, There is a technical problem of providing a vehicle information detection system and a vehicle information detection method that can calculate the degree of saturation indicating the state of communication and thereby improve the accuracy of the degree of saturation calculation to ensure reliability.

According to an aspect of the present invention for solving the above-mentioned problems, there is provided a vehicular navigation system including: a vehicle detection unit buried on a predetermined road and formed of a combination of a loop sensor and a piezo sensor; And data of the passing vehicle detected by the vehicle detecting unit to measure the amount of traffic for each type of vehicle and to calculate the effective traffic volume converted into the passenger car by converting the amount of traffic for each type of vehicle into the proportion of the passenger car according to the passenger car conversion coefficient according to the set terrain and vehicle type, And a vehicle information detecting unit for calculating a saturation degree, which is a ratio of a traffic amount that has passed through a current period to a maximum allowable traffic capacity by applying an effective traffic amount, wherein the vehicle information detecting unit comprises: A vehicle information detection system is provided.

Here, the vehicle information detecting section may include: a loop data detecting section for detecting loop data detected by the loop sensor; A piezo data detector for detecting piezo data detected from the piezo sensor; A memory in which a table of the installation point of the vehicle detection unit and a passenger car conversion coefficient table according to the type of the sensed vehicle are stored; And a main processing unit for measuring the traffic volume for each vehicle type based on the data of the passing vehicle received by the data detection unit and for calculating the saturation by converting the traffic volume for each vehicle type into the weight of the passenger car according to the passenger car conversion coefficient stored in the passenger car conversion coefficient table, . ≪ / RTI >

The terrain classified in the passenger car conversion coefficient table is classified into a flat area, a hill area, and a mountain area according to the slope of the terrain, and the vehicle types can be classified into small, medium and large according to the weight of the vehicle.

Further, the main processing unit measures the effective traffic amount by vehicle type in accordance with the data detected by the vehicle detection unit, calculates the effective traffic amount converted by the passenger car by applying the passenger-by-car conversion coefficient to the effective traffic amount by the vehicle type, The saturated saturation traffic flow rate can be calculated and the saturation degree according to the current traffic volume can be calculated.

The main processing unit calculates a moving average value of the effective traffic volume converted into the passenger car by seven cycles and calculates a measured saturated traffic flow rate of the passenger car. If the difference between the calculated measured saturated traffic flow rate and the current saturated traffic flow rate is 50 or more The measured saturation traffic flow rate can be applied as the current saturated traffic flow rate.

Then, the main processing unit can calculate the traffic volume converted into the current periodic passenger car by measuring the total traffic volume for each type of vehicle during the green period of the current cycle, and then applying the conversion factor.

Meanwhile, the traffic signal controller includes: a signal controller for receiving predetermined vehicle information from the vehicle information detector, processing the received vehicle information, and transmitting a control command for the traffic signal; A communication unit for receiving predetermined vehicle information from the signal control unit and transmitting the information to the outside; And a signal lamp driving unit for receiving a control command of the traffic signal from the signal control unit and driving the traffic light.

According to another aspect of the present invention, there is provided a method for driving a vehicle, comprising the steps of: (a) storing a passenger car conversion coefficient table in which a car model conversion factor is set according to the topography of the installation point of the car detection unit; (b) measuring an effective traffic amount for each vehicle type according to the data detected by the vehicle detection unit; (c) calculating the effective traffic volume converted into a passenger car by applying the passenger car conversion factor to the effective traffic volume per vehicle type; (d) calculating a measured saturated traffic flow rate based on the passenger car conversion effective traffic amount; (e) collecting traffic volume for each current vehicle type and calculating the current traffic volume of the passenger car by applying the passenger car conversion factor; And (f) calculating a degree of saturation in which the vehicle type is considered, using the measured saturation traffic flow rate and the current passenger car conversion traffic amount.

In the step (d), a moving average value is calculated for each seven cycles of the effective traffic volume converted into the passenger car, and the calculated saturated traffic flow rate is calculated. Then, the difference between the calculated saturated traffic flow rate and the current saturated traffic flow rate is 50 The present invention may include a step of applying the measured saturated traffic flow rate to the current saturated traffic flow rate.

The step (e) may include the step of measuring the total amount of traffic for each type of vehicle during the green period of the current cycle, and then calculating the current traffic volume of the current period passenger car by applying the conversion coefficient.

As described above, in the vehicle information detecting system and the vehicle information detecting method of the present invention, in measuring the effective traffic amount, the vehicle is measured according to the vehicle type rather than the simple traffic amount, and then the predetermined conversion factor is applied to the passenger car It is possible to calculate the converted effective traffic amount and calculate the degree of saturation indicating the traffic state, thereby improving the accuracy of the degree of saturation calculation and ensuring reliability.

1 is a configuration diagram of a vehicle information detecting system according to an embodiment of the present invention;
2 is a control block diagram of the vehicle information detection system of FIG.
3 is a block diagram of a vehicle information detection system according to an embodiment of the present invention.
4 and 5 are diagrams showing a configuration of a traffic signal controller according to an embodiment of the present invention.
6 is an exemplary view showing a sensor signal processing method by the vehicle information detecting system according to the embodiment of the present invention
7 is a flowchart of a vehicle information detecting method according to an embodiment of the present invention

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description with reference to the accompanying drawings, the same or corresponding components will be denoted by the same reference numerals, and redundant description thereof will be omitted.

1 and 2 are views illustrating an example of a vehicle information detection system according to an embodiment of the present invention.

The present invention relates to a detection system for detecting vehicle information by sensing by contact embedded in a road, comprising: a loop sensor (110), which is a contact sensor embedded on a road, and two piezo sensors (120) In the step of measuring the effective traffic volume according to the detected value detected by the vehicle detection unit, the vehicle detection unit measures the vehicle according to the type of the vehicle instead of the simple traffic volume, and then the predetermined conversion factor is applied to calculate the effective traffic volume converted to the passenger car The vehicle information detection unit 100 including the main processing unit equipped with the algorithm for calculating the degree of saturation indicating the traffic state is inserted into the traffic signal controller 400 and operated, To a vehicle information detection system and a detection method.

Generally, the traffic volume surveying device measures real time traffic information of major vehicles such as traffic volume, traffic volume, occupancy, and the like, and transmits it to the traffic control center 200. Such traffic survey equipment is intended to collect basic data necessary for efficient operation and management of existing roads and planning and design of new roads in order to improve traffic conditions that are exacerbated by rapidly increasing traffic demands and roads that can not accommodate them.

In recent years, Intelligent Transportation System (ITS) has been applied to facilitate the efficient use of roads and traffic flow. In order to collect traffic information on individual pass-through vehicles on the road, Is used.

The traffic volume survey instrument first measures the length of the vehicle, the speed, the vehicle type, and the number of axles, which are the information about the individual vehicle, through the sensors installed in each lane, and then generates the road information such as the occupancy rate of the road,

In order to collect vehicle information, a sensor is installed in each lane to detect the passing vehicle, and information on the occupation time and axle of the vehicle is extracted.

The sensor consists of an Occupation Sensor that measures the occupancy time of the vehicle and an Axle Sensor that measures the position of the vehicle axis. The occupancy sensor detects the time when the vehicle occupies the road, and the axle position sensor detects the instant when the axle passes.

As the occupancy sensor, a loop sensor (110) can be used. The loop sensor has an advantage in cost ratio to performance. As the sensor for measuring the position of the vehicle shaft, it is preferable to use a piezo electric sensor 120 (Piezo Electric Sensor).

The present invention is implemented by inserting a vehicle information detecting unit 100 for processing data obtained from the loop sensor 110 and the piezo sensor 120 into a traffic signal controller and operating it without installing a separate vehicle information detecting device. It is possible to provide a vehicle information detection system which can be installed in a board form in the traffic signal controller 400 so that a separate installation space is not required, installation cost is reduced, and operation can be performed more efficiently.

2, the predetermined vehicle information acquired through the loop sensor 100 and the piezo sensor 120 is transmitted to the signal control unit of the traffic signal controller 400 and is transmitted to the traffic control center 200 through the communication unit 410 So that the real-time traffic information can be accumulated / provided.

Here, the vehicle information is not provided to the traffic control center 200 in one direction from the traffic signal controller 400, but it is also possible to selectively transmit the vehicle information required by the traffic control center 200 at the request of the traffic control center 200.

3 is a block diagram of a vehicle information detection system according to an embodiment of the present invention.

According to the vehicle information detecting system of the present invention, the vehicle information detecting system includes a vehicle detecting section embedded in a predetermined road and formed by a combination of a loop sensor 110 and a piezo sensor 120, And a vehicle information detecting unit (100) for receiving the data of the detected passing vehicle, converting the data into predetermined vehicle information, and storing the converted vehicle information. The vehicle information detecting unit 100 may be inserted into the traffic signal controller 400 located apart from the vehicle detecting unit and operated.

In the present invention, at least one loop sensor (110) and a plurality of sensors are provided perpendicularly to the traveling direction of the vehicle, and are disposed on opposite sides of the loop sensor And a piezoelectric sensor 120 installed to be installed.

The loop sensor 110 is a sensor that applies a predetermined oscillation signal to a loop coil embedded in a road surface and senses whether the vehicle is occupied by detecting a change amount of a magnetic field when the vehicle exists on the road surface of the embedded area. The loop sensor 110 maintains a low level at a usual low level and maintains a high level from the moment when the front bumper portion of the entering vehicle enters the loop and the rear bumper portion of the entering vehicle leaves the loop again, (Low) level, detects the time occupied by the vehicle in the detection area, and transmits the detected time to the vehicle information detection unit 100.

The piezo sensor 120 has a structure in which pressure is applied to the sensor at the moment when the vehicle passes over the buried region, and the instantaneous pulse voltage is generated. The piezo sensor 120 can sense the number of axles and the distance between the axes based on the number of generated pulses and the time difference between the pulses, and measure the weight of the vehicle based on the area and size of the generated pulses.

That is, the vehicle sensing unit formed of one loop sensor 110 and two piezo sensors 120 can detect the number of axles for the vehicle passing through the sensor of the road from the piezo sensor 120, the vehicle speed, And detects the signal from the loop sensor 110, determines the sensor sensing time of the vehicle passing through the road, and calculates the occupancy rate of the vehicle.

The vehicle information detection unit 100 includes a loop data detection unit 130 for detecting loop data detected from the loop sensor 110, a piezo data detection unit 140 for detecting piezo data detected from the piezo sensor, A main processing unit 150 for calculating the saturation in consideration of the vehicle type of the current cycle by using the loop data and the piezo data detected from the memory 160, the loop data detecting unit 130 and the piezo data detecting unit 140, .

The data sensed by the loop sensor 110 is transmitted to the loop data detection unit 130 and the data sensed by the piezo sensor 120 is transmitted to the piezo data detection unit 140. At this time, Receives the loop data from the loop data detector 130, merges it with the piezo data, and transmits it to the main processor 150.

In the memory 160, a passenger car conversion coefficient table is stored. The passenger car conversion coefficient table includes conversion factors that divide the terrain of the sensor installation site into flat, hilly, and mountainous areas, divide the vehicle into small, medium, and large sizes, and calculate the traffic volume of the passenger car according to the topography and vehicle type.

The passenger car conversion coefficient table is obtained by dividing the terrain of the sensor installation site into flat, hilly and mountainous regions and setting the conversion coefficients of the passenger cars according to the small, medium and large vehicles according to the respective division values. . ≪ / RTI >

terrain
Vehicle classification Flat Old Town Mountain small type 1.0 1.2 1.5 Medium 1.5 3.0 5.0 large 2.0

Here, the vehicle type can be classified according to the weight and characteristics of the vehicle, and in the embodiment of the present invention, the case of dividing the small, middle, and large sized vehicles according to the vehicle type classification reference table as shown in Table 2 below will be exemplified.

Car type Classification standard small type Less than 2.5 tons truck, less than 16 passenger cars Medium type More than 2.5 tons of trucks, more than 16 passengers large Semi-trailers or full trailers and construction equipment, special machinery, armored vehicles

The main processing unit 150 transforms the data sensed by the loop sensor 110 and the piezo sensor 120 and outputs the converted data to the main processor 150. The main processor 150 calculates the speed of the vehicle, the length of the vehicle, the number of axes, the distance between the axes, The vehicle type classification, the traffic volume, and the like, and transmits it to the signal controller of the traffic signal controller, and eventually transmits the traffic information to the traffic control center.

Here, the main processing unit 150 is equipped with the saturation degree calculation algorithm proposed by the present invention for converting the data sensed by the loop sensor 110 and the piezo sensor 120.

The saturation calculation algorithm sets and stores the passenger car conversion coefficient table for the car type and the terrain in advance, measures the traffic volume for each vehicle type, applies the conversion coefficient set in the conversion coefficient table to each traffic volume, The traffic volume is converted into saturation.

If the maximum permissible traffic volume is the saturated traffic flow rate, then at the stage of measuring the effective traffic volume of the existing algorithm, the vehicle is measured according to the vehicle type rather than the simple traffic volume as in the conventional method, Calculate effective traffic volume. The effective traffic volume is shifted averaged by 7 cycles, and the saturation traffic flow rate calculated by the passenger car is calculated. If the difference between the calculated saturated flow rate and the current saturated flow rate applied to the saturation calculation is more than 50, the measured saturated flow rate is applied as the current saturated flow rate.

In order to express the traffic condition of each cycle traffic in saturation, the total traffic volume is measured for each vehicle type during the green period of the current cycle, and the converted traffic volume is calculated by applying the conversion coefficient. Finally, the ratio of the current traffic flow rate to the current traffic volume of the current passenger car is converted into percentiles, and the improved saturation indicating the traffic state is calculated.

The vehicle information detection unit 100 transmits vehicle information to the traffic control center 200 or receives a command for vehicle information requested from the traffic control center 200 from the signal control unit and processes the received vehicle information to process predetermined vehicle information Lt; / RTI > In addition, the vehicle information detecting unit 100 may be equipped with wired / wireless communication equipment (not shown) for transmitting vehicle information, and may directly transmit or receive data such as vehicle information with the traffic control center.

The vehicle information detecting unit 100 can transmit predetermined vehicle information on-line or in real time when requesting predetermined information from the traffic control center 200 through the traffic signal controller 400 in the VME (Versa Module Eurocard) BUS communication In particular, the predetermined vehicle information may be transmitted or received through an optical Ethernet network installed between the vehicle information detecting unit 100 and the traffic control center 200.

The system for calculating the driving information of the vehicle may include a housing such as a traffic signal controller in the vicinity of a sensor for detecting the vehicle or a vehicle information detecting unit may be inserted into a traffic signal controller located apart from the vehicle detecting unit .

In addition, the vehicle information detecting unit 100 may be formed in the form of a rectangular parallelepiped, so that the vehicle information detecting unit 100 can be easily detached and operated between the internal components of the traffic signal controller. By configuring the system in this manner, Maintenance and repair are easy, and the installation cost is low.

4 is a block diagram of a traffic signal controller according to an embodiment of the present invention.

The traffic signal controller includes a signal controller 330 that receives predetermined vehicle information from the vehicle information detector and processes the received vehicle information, and transmits a control command of the traffic signal. The vehicle controller 330 receives predetermined vehicle information from the signal controller, And a signal lamp driver 360 that receives a control command of a traffic signal from the signal controller and drives a traffic signal. Also, the display unit 350 may be provided to indicate the driving state of the traffic signal controller according to the necessity of the invention.

The vehicle information detecting unit 100 may be interposed between the components of the signal control unit 330, the communication unit 340, the signal lamp driving unit 360, the display unit 350, etc., .

The signal control unit 330 receives predetermined vehicle information obtained from the loop sensor and the piezo sensor, and transmits the predetermined vehicle information to the traffic control center through the communication unit 340 in real time. Of course, in the case where the vehicle information detecting unit is provided with a separate wired / wireless communication device, it is needless to say that the vehicle information detecting unit may transmit or receive predetermined vehicle information to the direct traffic control center.

The communication unit 340 transmits predetermined vehicle information to the traffic control center or receives a command for vehicle information requested from the traffic control center and transmits the command to the signal control unit 330, It may receive the corresponding predetermined vehicle information from the signal controller 330 and transmit it to the traffic control center.

The signal lamp driver 360 may display a flicker signal and a feedback signal according to a control signal of the signal controller 330.

FIG. 5 shows an internal configuration and a process of the traffic signal controller. Data input through the loop sensor 110 and the piezo sensor 120 is converted into predetermined vehicle information by the vehicle information detecting unit 100, And transmitted to the traffic control center through bus communication.

On the other hand, the process of controlling the driving state of the signal lamp transmits or receives the flickering signal and the feedback signal to the signal lamp by the signal lamp driving unit 381 through the IO bus communication.

Such a process is controlled by the main control unit 380 in the traffic signal controller, and the main control unit 380 drives the signal driving unit 381 and the other device unit 382. The other device unit 382 may include an image detector, a wireless I / O device, an alternative detector, an ITS field device, and the like.

6 is a view illustrating an example of a sensor signal processing method by the vehicle information detection system according to an embodiment of the present invention.

The vehicle detection unit has two piezo sensors (P ₁ , P ₂ ) and one loop sensor per vehicle. The two piezo sensors P ₁ and P ₂ are installed at a predetermined distance in front of and behind the loop sensor LOOP. Here, the loop sensor LOOP has a constant length L, and the predetermined distance d is spaced apart from the loop sensor LOOP and the piezo sensors P ₁ and P ₂ .

The loop sensor LOOP extracts information such as the length of the vehicle through the time occupied by the vehicle. The two piezo sensors P ₁ and P ₂ sense the instant when the axle passes, And information on the number of axles.

It is also possible to provide a combination of two loop sensors and one piezo sensor per vehicle as required by the present invention. In this case, the two loop sensors extract the information of the vehicle speed and the vehicle length, and the piezo sensor extracts the information on the axle number. However, in such a case, the installation area is wide and the detection area is wide, Disadvantages should be considered.

The loop sensor LOOP maintains a low level during normal operation and maintains a high level during the passage of the vehicle.

Therefore, time for holding a high level (t ₄₎ can be referred to as a rear bumper of the vehicle from the moment the front bumper of the vehicle enters the loop until the time out of the loop. Time ₍₄ t) to maintain the high level means that the reaction starts at the end and the reaction time of the sensor loop (LP), and can be equal to the time a vehicle is occupying the detection area.

The two piezo sensors P ₁ and P ₂ are responsive to the axes AX 1 and AX ₂ of the vehicle and detect the time information of the number of axes of the vehicle per sensor. For example, P ₁ t ₁ means the time when the first piezo sensor P ₁ detects the first axis AX ₁ of the vehicle, P ₁ t ₂ means the time when the second axis AX ₂ is detected do. P ₂ t ₁ means the time when the second piezo sensor P ₂ detects the first axis AX ₁ of the vehicle and P ₂ t ₂ means the time when the second axis AX ₂ is detected do.

Therefore, various vehicle information such as traffic volume, vehicle speed, inter-axis distance, vehicle length, overhang, and vehicle type can be obtained based on the time and time information measured in the piezo sensors P ₁ and P ₂ and the loop sensor LOOP, Based on such vehicle information, it is possible to generate road information such as the occupancy rate of the road, the vehicle distribution ratio, and the like.

On the other hand, the classification of the vehicles is classified by using the vehicle information such as the number of axles of the vehicle, the distance between the axles, and the length of the vehicle. This vehicle information can also be obtained using the time information measured by the piezo sensors P ₁ and P ₂ and the loop sensor LP. Such vehicle information can be obtained as shown in Table 1 below.

Table 1

7 is a flowchart of a vehicle information detection method according to an embodiment of the present invention.

The vehicle information detection unit 100 stores a table of the vehicle conversion coefficients according to the topography and the type of the vehicle (S100). The passenger car conversion coefficient table divides the terrain of the sensor installation point into flat, hilly and mountainous areas, and includes the conversion factors of passenger cars according to small, medium and large vehicles according to each division value. Here, the vehicle type can be classified according to the weight and characteristics of the vehicle. In the embodiment of the present invention, the case of dividing the small, middle, and large vehicles will be exemplified.

Vehicle type detectors are classified into small, medium, and large, and the respective effective traffic amounts are measured (S110). In order to measure the effective traffic volume by vehicle type, the quantity of traffic is measured only for the vehicle with the condition of the effective traffic volume, and the traffic volume is determined as the effective traffic volume. When the green signal is started and the traffic volume is measured and the first six cars are measured, the vehicle is measured from 1 again until the unoccupied time becomes 3.5 seconds (or set value) or more. If the number of the last measured number is 6 or more, it is recognized as effective traffic volume. Otherwise, it is assumed that there is no effective traffic volume in the corresponding period. At this time, the number that distinguishes effective traffic volume by vehicle type is variable as follows.

EVOL _S : Measured small vehicle effective traffic volume

EVOL _M : Measured medium vehicle effective traffic volume

EVOL _L : Measured large vehicles Effective traffic volume

When the effective traffic amount for each type of vehicle is measured, the conversion factor set in the " Passenger Car Conversion Factor Table " is applied according to each type of vehicle to calculate the effective traffic amount converted by passenger cars for each type of vehicle (S120). The converted effective traffic volume can be calculated using the following Equation (1).

≪ Formula 1 >

Here, EVOLt (n) is the effective traffic volume (pcu / h) in terms of passenger cars,

EVOL _S : Measured small vehicle effective traffic volume

F _S : Conversion factor of small car models determined by terrain

EVOL _M : Measured medium vehicle effective traffic volume

F _M : conversion factor of medium vehicle type determined by topography

EVOL _L : Measured large vehicles Effective traffic volume

F _L : conversion factor of large vehicle type determined by terrain

C: Signal cycle length (seconds)

ETIME: The length of time the effective traffic was measured (in seconds)

When the converted effective traffic amount is calculated for each vehicle type, an average traffic flow rate is calculated based on the calculated effective traffic amount (S130). In order to calculate the effective traffic volume converted to the passenger car measured by the car classification, the cycle other than the EVOLt of 6 or more is not used for the calculation but the 7th cycle of EVOLt is added to the EVOLt (SFRt1). This can be expressed by the following Equation (2-1).

<Formula 2-1>

pcu/h

pcu / h

Thereafter, the average value of the saturated traffic flow rates to be repeatedly measured is calculated and set to the measured saturated traffic flow rate SFRt '(S140). After calculating the saturated flow rate according to Equation (2), the second seven-period average saturated flow rate (SFRt2) for the following seven periods is calculated in the same manner.

<Formula 2-2>

pcu/h

pcu / h

The average 7 saturation saturation traffic flow rates were calculated as the saturation saturation traffic flow rate, and the average saturation traffic flow rate was applied as the first saturation traffic flow rate for the next 7 periods. The average saturation traffic flow rate is calculated again, and the method is used to calculate the average saturation traffic flow rate in the second 7 periods. Thus, the saturation traffic flow rate (SFRt ') is calculated by averaging the two saturating traffic flow rates measured in a seven-cycle overlapping manner.

&Quot; (3) &quot;

pcu/h

pcu / h

로 처리한다.The measured saturation traffic flow rate (SFRt ') is compared with the current saturated traffic flow rate (SFRt) by 50 pcu (S150), and if the difference is more than 50pcu, the saturating traffic flow rate is applied as the current saturated traffic flow rate S160). In other words,

Lt; / RTI &gt;

Thereafter, in order to calculate the degree of saturation, the traffic volume for each vehicle type is collected and converted traffic volume is calculated (S170). The converted traffic volume converted into the passenger car unit can be calculated using the following Equation (4).

&Lt; Equation 4 &

Here, VOLt is the current traffic volume of the current cycle passenger car

VOL _S : current period compact car traffic volume

F _S : Conversion factor of small car models determined by terrain

VOL _M : current cycle medium vehicle traffic volume

F _M : conversion factor of medium vehicle type determined by topography

VOL _L : current cycle large car traffic volume

F _L : conversion factor of large vehicle type determined by terrain

The saturation DSt considering the vehicle type of the current cycle is calculated by using the present cycle traffic volume VOLt considering the present saturated traffic flow rate SFRt and the vehicle type at step S170. The saturation (DSt) in which the vehicle type is considered can be calculated using the following Equation (5).

&Lt; Eq. 5 &

Here, DSt is the improved saturation value (%) considering the vehicle type,

VOLt: Traffic volume converted to passenger car

SFRt: Saturated traffic flow rate considering vehicle type

C: Cycke Length (seconds)

g: Green Interval (seconds)

As described above, in the vehicle information detecting system and the vehicle information detecting method of the present invention, in measuring the effective traffic amount, the vehicle is measured according to the vehicle type, not the simple traffic amount, It is possible to calculate the degree of saturation indicating the traffic state by calculating the effective traffic volume converted into the passenger car, thereby improving the accuracy of the saturation degree calculation value and ensuring reliability.

It will be understood by those skilled in the art that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is therefore to be understood that the embodiments described above are to be considered in all respects only as illustrative and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: vehicle information detection unit 110: loop sensor
120: Piezo sensor 130, 310: Loop data detector
140, 320: Piezo data detector
150: main processor 160: memory
170: Traffic signal controller main process
200: traffic control center 210, 340, 410: communication section
220: AVC server 230: operating terminal
300: vehicle in progress 330: signal controller
350: Display 360, 381: Traffic light driver
370: traffic light 382: other device section
390: VME bus 391: IO bus
400: traffic signal controller 500: AVC controller

Claims (10)

A vehicle detection unit buried on a predetermined road and formed by a combination of a loop sensor and a piezo sensor; And
The data of the passing vehicle detected by the vehicle detection unit is received to measure the traffic volume for each type of vehicle, the traffic volume for each vehicle type is converted into the weight of the passenger car according to the passenger car conversion coefficient according to the set terrain and the vehicle type to calculate the effective traffic volume of the passenger car, And a vehicle information detecting unit for calculating a saturation degree, which is a ratio of a traffic amount passing through a current period to a maximum allowable traffic capacity by applying a traffic amount,
Wherein the vehicle information detecting unit is inserted into a traffic signal controller located apart from the vehicle detecting unit and operated.
The method according to claim 1,
Wherein the vehicle information detecting unit
A loop data detector for detecting loop data detected by the loop sensor;
A piezo data detector for detecting piezo data detected from the piezo sensor;
A memory in which a table of the installation point of the vehicle detection unit and a passenger car conversion coefficient table according to the type of the sensed vehicle are stored; And
A main processing unit for measuring traffic volume of each vehicle type based on the data of the passing vehicle received by the data detection unit and for calculating the saturation degree by converting the vehicle traffic volume into the passenger car specific weight according to the passenger car conversion coefficient stored in the passenger car conversion coefficient table The vehicle information detection system comprising:
3. The method of claim 2,
Wherein the topographic features classified in the passenger car conversion coefficient table are classified into flat, hilly and mountainous areas according to the slope of the terrain, and the vehicle types are classified into small, medium, and large sizes according to the weight of the vehicle. .
3. The method of claim 2,
The main processing unit,
Calculating the effective traffic volume by vehicle type based on the data detected by the vehicle detection section and calculating the effective traffic volume converted into the passenger car by applying the passenger car conversion factor to the effective traffic volume per vehicle type and calculating the measured saturated traffic flow rate based on the passenger car- And calculating a degree of saturation according to the current traffic volume of each vehicle type.
5. The method of claim 4,
The main processing unit,
Calculating the moving average value of the effective traffic volume converted into the passenger car in seven cycles to calculate the measured saturated traffic flow rate of the passenger car and then calculating the saturation traffic flow rate when the difference between the calculated saturated traffic flow rate and the current saturated traffic flow rate is 50 or more, And the traffic information is applied as a traffic flow rate.
5. The method of claim 4,
The main processing unit,
Wherein the total traffic volume is measured for each vehicle type during the green period of the current cycle, and then the conversion coefficient is applied to calculate the current traffic volume of the current cycle passenger car.
The method according to claim 1,
The traffic signal controller includes:
A signal controller for receiving predetermined vehicle information from the vehicle information detector, processing the received vehicle information, and transmitting a control command for the traffic signal;
A communication unit for receiving predetermined vehicle information from the signal control unit and transmitting the information to the outside; And
And a signal lamp driving unit for receiving a control command of a traffic signal from the signal control unit and driving a traffic light.
(a) storing a passenger car conversion coefficient table in which a driving vehicle conversion coefficient is set according to the topography of the installation point of the vehicle detection unit and the vehicle type;
(b) measuring an effective traffic amount for each vehicle type according to the data detected by the vehicle detection unit;
(c) calculating the effective traffic volume converted into a passenger car by applying the passenger car conversion factor to the effective traffic volume per vehicle type;
(d) calculating a measured saturated traffic flow rate based on the passenger car conversion effective traffic amount;
(e) collecting traffic volume for each current vehicle type and calculating the current traffic volume of the passenger car by applying the passenger car conversion factor; And
(f) calculating a degree of saturation in which the vehicle type is taken into account using the measured saturation traffic flow rate and the current traffic volume of the passenger car.
9. The method of claim 8,
The step (d)
Calculating the moving average value of the effective traffic volume converted into the passenger car in seven cycles to calculate the measured saturated traffic flow rate of the passenger car and then calculating the saturation traffic flow rate when the difference between the calculated saturated traffic flow rate and the current saturated traffic flow rate is 50 or more, The method comprising the steps of: applying the traffic information to a traffic flow rate.
9. The method of claim 8,
The step (e)
And calculating the current traffic volume of the current cycle passenger car by measuring the total traffic volume for each vehicle type during the green period of the current cycle and applying the conversion coefficient.

Images