KR20140144047A - System and method for estimating traffic characteristics information in the road network on a real-time basis - Google Patents
System and method for estimating traffic characteristics information in the road network on a real-time basis Download PDFInfo
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- KR20140144047A KR20140144047A KR20130065985A KR20130065985A KR20140144047A KR 20140144047 A KR20140144047 A KR 20140144047A KR 20130065985 A KR20130065985 A KR 20130065985A KR 20130065985 A KR20130065985 A KR 20130065985A KR 20140144047 A KR20140144047 A KR 20140144047A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096791—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is another vehicle
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Abstract
The present invention relates to a method and apparatus for detecting a vehicle existing in the vicinity of a reference vehicle using a sensor-based sensing technology such as a vision, a laser, a radar, And a system and method for estimating the global traffic characteristics of the road on the basis of the accumulated local traffic characteristics information by calculating local traffic characteristics (traffic volume, vehicle speed, and vehicle density) A reference vehicle that detects a vehicle existing in a peripheral spatial area in real time using a sensor based sensing technology including a vision, a laser, a radar, and an ultrasonic wave on the basis of a current position searched through a GPS module, Receives the vehicle information detected from the reference vehicle through the communication network, calculates the regional traffic characteristics based on the location, and continuously stores , And is composed, including a traffic control center to estimate the global traffic characteristics of the road network based on the cumulative area traffic characteristics information.
Description
The present invention relates to a system and method for estimating traffic characteristic information of a road network. More particularly, the present invention relates to a system and method for estimating traffic characteristic information of a road network using a local traffic characteristic (traffic volume, vehicle speed, and vehicle density) To a system and method for estimating global traffic characteristics.
Conventionally, various traffic lag detecting systems for measuring the condition of traffic lag have been proposed in order to facilitate communication of road traffic. The traffic lag detecting system has been widely used in various fields such as speed, traffic volume and traffic density Parameters are being used.
At this time, there are two methods of measuring speed, traffic volume and traffic density, which are basic elements of traffic flow, such as a point observation method (loop detector, video detector, etc.) and a section observation method (DSRC, etc.). There are also some attempts to measure traffic density using aerial photographs and satellite images. Of these, traffic congestion is most directly proportional to density.
However, it is difficult to measure the traffic density because it is impossible to measure the section speed and travel time of the conventional traffic lag detection system. In addition, the section observation method can measure the section speed and the travel time, Density measurement is virtually impossible.
Therefore, there is no proper density measurement method in addition to the method of measuring the current traffic density by using aerial photographs and satellite images. However, the method using aerial photographs and satellite images is expensive, and technical limitations are still imposed on the measurement of traffic density due to limitations of measurement and observation time (emergency).
In addition to the observation method, traffic density and speed based density estimation method and occupancy based density measurement method are used as the traffic lag detection system.
However, the above traffic density and velocity-based density estimation method is a method of estimating the density through the traffic flow model using the traffic volume and the speed information observed from the point detector, and assumes that the traffic flow is homogeneous, Therefore, it is practically less valuable. Also, the occupancy-based density measurement method is difficult to reflect the diversity of vehicle types in the traffic flow, and since the point detector is used, the density of the vicinity of the observation point also has a low utilization value.
In order to solve the problems of the conventional traffic lag detecting system, there have been proposed a conventional traffic lag detecting system as disclosed in U.S. Patent No. 4,847,772, Japanese Patent Application Laid-Open No. Hei 2-166,598, Japanese Patent Laid-Open Publication No. Hei 5-298,591, The traffic volume detection system described in Japanese Patent Application Laid-Open No. 6-030,417 is known.
Among these publications, U.S. Patent No. 4,847,772 and Japanese Patent Application Laid-Open No. 2-166,598 each disclose a method in which an image of a road portion in which a vehicle is not present is used as a reference image, and a luminance distribution of a newly input image is calculated as a luminance distribution A system has been proposed in which it is determined that a vehicle exists on the road portion. Japanese Patent Application Laid-Open Nos. 5-298,591 and 6-030,417 disclose a method in which an object sensed in a sensing area formed on a screen is registered as a template and then a traffic jam is detected A system is proposed in which the vehicle is tracked by correlation calculations. As a conventional traffic lag detecting device, for example, Examination of Procession Length Measurement Algorithm using Image Processing (D-423, p.149, 1995) has been proposed . In this apparatus, an image is differentiated in order to inspect the presence / absence of the vehicle, and the stop of the vehicle is determined based on this frame and the next frame. In this case, when the vehicle is present and stopped, it is determined that the traffic is heavy.
However, in the related art described above, in the U.S. Pat. Nos. 4,847,772 and 2-166,598, the reference image of the road portion where the vehicle does not exist must be registered, and the reference image is changed Should be updated accordingly. However, on busy roads, registration and updating of the reference image can not be performed easily, and therefore the measurement accuracy is lowered. Further, in the above-mentioned Japanese Patent Laid-Open No. 5-298,591, a template having a predetermined size at a predetermined position, that is, a position spaced apart from the TV camera by a predetermined distance, is registered regardless of the presence or absence of a vehicle, The vehicle is tracked. In this system, since the size of the template and the size of the actual vehicle differ according to the movement of the vehicle, high-precision tracking can not be performed. In addition, it is difficult to determine whether the shade of the vehicle or another vehicle traveling adjacent thereto is traced. Furthermore, in Japanese Patent Application Laid-Open No. 6-030,417, a plurality of vehicle images are maintained as templates in advance, and correlation calculation between each image and all the templates is performed each time an image is input. Therefore, in order to obtain a high correlation value, a plurality of templates having different sizes, shapes, and luminances must be prepared. Therefore, when the image is input, the amount of correlation calculation increases, thereby hindering high-speed processing.
In this way, when many vehicles run at low speed on the road, traffic congestion must be judged. For this reason, speed measurement is indispensable to determine traffic congestion. However, in the conventional method, the speed measurement can not be performed and the vehicle traveling at low speed can not be detected. That is, in the conventional method, even if the vehicle is traveling at the same speed, the output differs depending on the shape or color of the vehicle, and the output of the vehicle varies with the distance from the camera, I could not.
SUMMARY OF THE INVENTION Accordingly, the present invention has been made keeping in mind the above problems occurring in the prior art, and it is therefore an object of the present invention to provide a vehicle inspection system and a vehicle inspection method using the sensor- based sensing technology, such as a vision, a laser, a radar, (Traffic volume, vehicle speed, and vehicle density) by using real-time detection and location based, and calculates local vehicle characteristics (traffic volume, vehicle speed, and vehicle density) And a system and method for estimating vehicle characteristics (traffic volume, vehicle speed, vehicle density).
It is another object of the present invention to provide a method and system for transmitting local vehicle characteristic information acquired from an individual reference vehicle to a center in real time and using the local vehicle characteristic information transmitted from a plurality of reference vehicles, Speed, vehicle density) of the vehicle.
Other objects of the present invention are not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.
According to another aspect of the present invention, there is provided a system for estimating traffic characteristics information of a real-time road network, comprising: a sensor-based sensing unit including a vision, a laser, a radar, A reference vehicle that detects a vehicle existing in a peripheral spatialized area in real time, a vehicle that receives vehicle information sensed from the reference vehicle through a wireless communication network, calculates and stores the regional traffic characteristics based on the location, And a traffic control center for estimating global traffic characteristics of the road network based on the accumulated local traffic characteristics information.
Preferably, the traffic control center comprises: a receiver for receiving vehicle information and current position information sensed in real time from the reference vehicles; and a controller for receiving accumulated vehicle information of the vehicle information received from the receiver, A local traffic characteristic calculating unit for calculating a local traffic characteristic that is a traffic characteristic for each of the plurality of areas based on the classified vehicle information for each of the plurality of classified areas; Based traffic information calculation section for estimating global traffic characteristics by calculating global traffic characteristics that are traffic characteristics for the entire road network, and a global traffic characteristic calculating section for calculating global traffic characteristics based on the location-based vehicle information received from the receiving section, And a storage unit for storing the global traffic characteristics calculated by the global traffic characteristic calculating unit The.
According to another aspect of the present invention, there is provided a system and method for estimating traffic characteristics information of a real-time road network according to the present invention. The system includes a sensor based on a current position, which is searched through a GPS module, A reference vehicle that detects a vehicle existing in a peripheral spatial area by using a sensing technology in real time and calculates local traffic characteristics in a peripheral spatial area; and a controller that continuously receives local traffic characteristics received from the reference vehicle through a wireless communication network And a traffic control center for estimating the global traffic characteristics of the road network based on the accumulated local traffic characteristics information.
Preferably, the traffic characteristics include traffic volume, vehicle speed, and vehicle density.
Preferably, the traffic control center includes a receiver for receiving local traffic characteristic information and current position information received in real time from the reference vehicles, and cumulative local traffic characteristic information of the local traffic characteristic information received from the receiver A location-based spatial matching unit for classifying the location information according to the spatialized area, and a local traffic characteristic classified by the spatialized area of the location information to calculate a global traffic characteristic for the entire area of the road network, And a storage unit for storing the location-based vehicle information, the regional traffic characteristics, and the global traffic characteristics.
Preferably, the spatialized area is a sensorable area in the reference vehicle, and includes all measurable areas forward (or backward), or to the periphery.
According to another aspect of the present invention, there is provided a method for estimating traffic characteristic information of a real-time road network, the method comprising the steps of: (A) measuring a distance from a sensor-based device including a vision, a laser, a radar, (B) detecting vehicle information detected in real time in the spatialized area, together with current position information retrieved through a GPS module, in a traffic management center (TMC); (C) receiving the vehicle information sensed by the reference vehicle through the wireless communication network at the traffic control center, and accumulating accumulated vehicle information of the vehicle information received on the basis of the current position, (D) a step of classifying, by the traffic control center, local traffic characteristics (E) calculating a global traffic characteristic, which is a traffic characteristic according to the entire area of the road network, based on the accumulated local traffic characteristic information stored in the location based on the location information at the traffic control center, And estimating the characteristics of the received signal.
According to another aspect of the present invention, there is provided a method for estimating traffic characteristic information of a real-time road network, the method comprising the steps of: (a) determining a sensor-based device including a vision, a laser, a radar, Detecting a vehicle existing in a spatial area around the reference vehicle in real time and calculating a local traffic characteristic based on the vehicle information sensed in real time in the spatialized area; And transmitting the calculated regional traffic characteristic information to the Traffic Management Center (TMC) together with the information on the local traffic characteristic information, and (c) receiving the local traffic characteristic information detected from the reference vehicle through the wireless communication network in the traffic control center (C) classifying and storing the classified location information according to the spatial information of the location information on the basis of the current location; (d) And estimating the global traffic characteristics by calculating global traffic characteristics that are traffic characteristics according to the entire area of the road network based on the accumulated local traffic characteristics information.
Preferably, the traffic characteristics include traffic volume, vehicle speed, and vehicle density.
Preferably, the spatialized area is characterized by setting a measurable area forward or backward from the reference vehicle as a spatialized area, or setting all measurable areas around the reference vehicle as a spatialized area.
Preferably, the transmission to the traffic control center is performed through a wireless communication network using a Road Side Equipment (RSE) or a Cellular Radio Tower (CRT).
Preferably, the traffic control center continuously receives information from a plurality of reference vehicles and stores the information based on a location basis.
The system and method for estimating traffic characteristic information of a real time road network according to the present invention as described above has the following effects.
First, it is possible to acquire traffic characteristics (traffic volume, vehicle speed, and vehicle density) data of high - accuracy and low - cost roads, and it is expected to activate the private ITS market by enabling continuous and low - cost measurement of traffic characteristics.
Second, it is possible to predict more accurate traffic information by using traffic characteristics (traffic volume, vehicle speed, and vehicle density), and it is believed that it is possible to improve the reliability of Kyoto prediction information and to improve traffic information.
Third, by acquiring various traffic characteristics information at all times and at low cost, it is expected to improve the traffic flow in traffic management, effective traffic demand management, and reduction of traffic congestion cost.
1 is a block diagram showing a configuration of a traffic characteristic information estimation system in a real time road network according to an embodiment of the present invention;
FIG. 2 is a block diagram showing the configuration of the traffic control center of FIG. 1 in detail;
3 is a flowchart for explaining a traffic characteristic information estimation method of a real time road network according to the present invention.
Other objects, features and advantages of the present invention will become apparent from the detailed description of the embodiments with reference to the accompanying drawings.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A preferred embodiment of a system and method for estimating traffic characteristic information of a real-time road network according to the present invention will be described with reference to the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. It is provided to let you know. Therefore, the embodiments described in the present specification and the configurations shown in the drawings are merely the most preferred embodiments of the present invention and are not intended to represent all of the technical ideas of the present invention. Therefore, various equivalents It should be understood that water and variations may be present.
1 is a block diagram showing the configuration of a traffic characteristic information estimation system of a real time road network according to an embodiment of the present invention. In this case, the traffic characteristic information includes traffic volume, vehicle speed, and vehicle density. In the following description, the description will be limited to the vehicle density in the traffic characteristic information to clearly state the technical content. It should be noted, however, that this is for the purpose of describing the preferred embodiment and not for the purpose of limitation. Therefore, when the traffic volume and the vehicle speed are applied in the same manner, the same configuration is obtained.
As shown in FIG. 1, a sensor-based sensing technology such as a vision, a laser, a radar, and an ultrasonic wave is used for a location-based search through a
At this time, the vehicle information provided to the
The spatialized region is an area that can be sensed by the sensor in the
2 is a detailed block diagram of the configuration of the traffic control center of FIG. 1. As shown in FIG. 2, the vehicle information detected in real time in the space segmented from the reference vehicles 100 (200) A location-based
Through such a configuration, the
The operation of the traffic characteristics information estimation system of the real time road network according to the present invention will be described in detail with reference to the accompanying drawings. The same reference numerals as those in Fig. 1 designate the same members performing the same function.
3 is a flowchart illustrating a traffic characteristic information estimation method of a real time road network according to the present invention.
Referring to FIG. 3, it is assumed that a sensor-based device such as a vision, a laser, a radar, or an ultrasonic wave attached to the
Then, the vehicle information detected in real time in the spatial domain is transmitted to the Traffic Management Center (TMC) 400 together with the current position information retrieved through the GPS module 200 (S20). At this time, the
Then, the
In step S40, the
This makes it possible to acquire vehicle density data on roads with high accuracy at low cost.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. It will be apparent to those skilled in the art that various modifications may be made without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.
Claims (12)
A traffic control center that receives vehicle information sensed from the reference vehicle through a wireless communication network, calculates and stores the local traffic characteristics based on the location, and estimates the global traffic characteristics of the road network based on the accumulated local traffic information And estimating the traffic characteristic information of the real-time road network.
A receiver for receiving vehicle information and current position information sensed in real time in a spatialized area from reference vehicles;
A location-based spatial matching unit for classifying accumulated vehicle information of the vehicle information received by the receiving unit according to spatialized areas of the position information;
A local traffic characteristic calculation unit for calculating a local traffic characteristic, which is a traffic characteristic for each area, based on the vehicle information classified by the spatialized region,
A global traffic characteristic calculating unit for calculating a global traffic characteristic, which is a traffic characteristic for a whole area of the road network, using the calculated local traffic characteristic,
And a storage unit for storing the location-based vehicle information received by the receiving unit, the local traffic characteristics calculated by the local traffic characteristic calculating unit, and the global traffic characteristics calculated by the global traffic characteristic calculating unit. Estimation system.
And a traffic control center for continuously storing the local traffic characteristics received from the reference vehicle through the wireless communication network and estimating the global traffic characteristics of the road network based on the accumulated local traffic characteristic information. Traffic Information Information Estimation System in Road Networks.
Wherein the traffic characteristics include a traffic volume, a vehicle speed, and a vehicle density.
A receiver for receiving local traffic characteristic information and current position information received in real time from the reference vehicles in a spatialized area;
A location-based spatial matching unit for classifying accumulated local traffic characteristics information of the local traffic characteristic information received by the receiving unit into spatial areas of the position information;
A global vehicle density calculating unit for calculating a global traffic characteristic, which is a traffic characteristic for a whole area of the road network, using the local traffic characteristics classified by the spatialized regions of the position information,
And a storage unit for storing the location-based vehicle information, the regional traffic characteristics, and the global traffic characteristics.
Wherein the spatialized region is a region that can be sensed by the sensor in the reference vehicle and includes all measurable regions forward (or backward), or to the periphery.
(B) transmitting vehicle information sensed in real time in the spatialized area to a traffic management center (TMC) together with current position information retrieved through a GPS module;
(C) receiving the vehicle information detected from the reference vehicle through the wireless communication network at the traffic control center, and classifying the accumulated vehicle information of the vehicle information received on the basis of the current location by the spatialized area of the position information;
(D) continuously calculating and storing local traffic characteristics based on vehicle information classified by spatialized areas in the traffic control center;
(E) estimating a global traffic characteristic by calculating a global traffic characteristic that is a traffic characteristic according to the entire area of the road network based on the accumulated local traffic characteristic information stored in the location base at the traffic control center A method for estimating traffic characteristics information of a real time road network.
(b) transmitting the calculated local traffic characteristic information together with current location information retrieved through the GPS module to a Traffic Management Center (TMC); and
(c) receiving the local traffic characteristic information detected from the reference vehicle through the wireless communication network in the traffic control center, classifying and storing the local traffic characteristic information according to the spatialized area of the position information on the basis of the current position,
(d) estimating global traffic characteristics by calculating global traffic characteristics that are traffic characteristics according to the entire area of the road network based on the accumulated local traffic characteristics information stored in the location based on the traffic control center A method for estimating traffic characteristics information of a real time road network.
Wherein the traffic characteristics include a traffic volume, a vehicle speed, and a vehicle density.
Characterized in that the spatialized region sets the measurable region forward or backward in the reference vehicle as a spatialized region or sets all measurable regions around the reference vehicle as a spatialized region Characteristic information estimation method.
Wherein the transmission to the traffic control center is performed through a wireless communication network using a Road Side Equipment (RSE) or a Cellular Radio Tower (CRT).
Wherein the traffic control center continuously receives information from a plurality of reference vehicles and stores the information based on a location basis.
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| KR20130065985A KR20140144047A (en) | 2013-06-10 | 2013-06-10 | System and method for estimating traffic characteristics information in the road network on a real-time basis |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105243813A (en) * | 2015-10-24 | 2016-01-13 | 广西大学 | Wireless network automobile experimental measurement system |
| KR20160139878A (en) * | 2015-05-29 | 2016-12-07 | 현대엠엔소프트 주식회사 | Apparatus and method for updating real-time traffic information |
| CN107122903A (en) * | 2017-04-27 | 2017-09-01 | 聊城大学 | A kind of measure of railway network structural reliability |
| CN110024012A (en) * | 2016-12-02 | 2019-07-16 | 高通股份有限公司 | The vehicles are shared to the vehicles (V2V) sensor |
| CN112179332A (en) * | 2020-09-30 | 2021-01-05 | 劢微机器人科技(深圳)有限公司 | Hybrid positioning method and system for unmanned forklift |
| KR102245580B1 (en) * | 2020-09-22 | 2021-04-29 | 재단법인차세대융합기술연구원 | Control server for estimating traffic density using adas probe data |
| CN113085897A (en) * | 2021-04-27 | 2021-07-09 | 淮阴工学院 | Speed control system of automatic driving vehicle |
| CN117608499A (en) * | 2024-01-23 | 2024-02-27 | 山东华夏高科信息股份有限公司 | Intelligent traffic data optimal storage method based on Internet of things |
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2013
- 2013-06-10 KR KR20130065985A patent/KR20140144047A/en not_active Application Discontinuation
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20160139878A (en) * | 2015-05-29 | 2016-12-07 | 현대엠엔소프트 주식회사 | Apparatus and method for updating real-time traffic information |
| CN105243813A (en) * | 2015-10-24 | 2016-01-13 | 广西大学 | Wireless network automobile experimental measurement system |
| CN110024012A (en) * | 2016-12-02 | 2019-07-16 | 高通股份有限公司 | The vehicles are shared to the vehicles (V2V) sensor |
| CN110024012B (en) * | 2016-12-02 | 2022-02-25 | 高通股份有限公司 | Vehicle-to-vehicle (V2V) sensor sharing |
| CN107122903A (en) * | 2017-04-27 | 2017-09-01 | 聊城大学 | A kind of measure of railway network structural reliability |
| CN107122903B (en) * | 2017-04-27 | 2020-06-30 | 聊城大学 | Method for measuring reliability of railway network structure |
| KR102245580B1 (en) * | 2020-09-22 | 2021-04-29 | 재단법인차세대융합기술연구원 | Control server for estimating traffic density using adas probe data |
| CN112179332A (en) * | 2020-09-30 | 2021-01-05 | 劢微机器人科技(深圳)有限公司 | Hybrid positioning method and system for unmanned forklift |
| CN113085897A (en) * | 2021-04-27 | 2021-07-09 | 淮阴工学院 | Speed control system of automatic driving vehicle |
| CN113085897B (en) * | 2021-04-27 | 2021-10-12 | 淮阴工学院 | Speed control system of automatic driving vehicle |
| CN117608499A (en) * | 2024-01-23 | 2024-02-27 | 山东华夏高科信息股份有限公司 | Intelligent traffic data optimal storage method based on Internet of things |
| CN117608499B (en) * | 2024-01-23 | 2024-04-05 | 山东华夏高科信息股份有限公司 | Intelligent traffic data optimal storage method based on Internet of things |
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