CN1967623A - Method for checking traffic flow by infrared ray matrix and traffic monitoring system - Google Patents
Method for checking traffic flow by infrared ray matrix and traffic monitoring system Download PDFInfo
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- CN1967623A CN1967623A CN 200610149088 CN200610149088A CN1967623A CN 1967623 A CN1967623 A CN 1967623A CN 200610149088 CN200610149088 CN 200610149088 CN 200610149088 A CN200610149088 A CN 200610149088A CN 1967623 A CN1967623 A CN 1967623A
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Abstract
The invention relates to a traffic flow detection method using infrared matrix and the traffic monitoring system, in particular the traffic vehicle flow detection method using infrared matrix detection equipment and the road traffic monitoring system. The infrared detection matrix is installed on the road entrances and exits, which comprising two rows of receivers embedded to the road and the transmitters installed a few meters above the road. The distance between two rows of receivers is 0.5 to 2 meters, and each row of receivers comprises a number of receiving pipes with interval 0.2-0.9 meters and the receiving circuit. The receiving pipes can receive the signal sent by the transmitters when no blocked, and the receiving circuit produces low level, and the receiving pipes cannot receive the signal sent by the transmitters when blocked, and the receiving circuit produces high level, and it can determine the vehicle direction and quantity by the high-low-level output by each receiving circuit. By statistics the number of entering and leaving vehicles according to the time period, to understand road traffic conditions through data analysis.
Description
Affiliated technical field:
The present invention relates to a kind of method and traffic monitoring system, particularly utilize the infrared ray matrix checkout equipment to detect the method and the system of monitoring road traffic of motor vehicle flow on the road with infrared ray matrix inspection vehicle flow.
Technical background:
Along with the increase of motor vehicle quantity in the city, urban highway traffic pressure is increasing, and it is all very important for urban traffic management and Traffic Development accurately to grasp road traffic condition.All be method at present by video monitor to the understanding of road traffic condition, with artificial measuring and calculating and empirical analysis, obtain such as: the volume of traffic is big, and the volume of traffic is little; Traffic congestion, general situation analysis such as do not block up, can't draw every road in certain time period the data by how many amount motor vehicles, can't draw the temporal regularity that frequency that the traffic congestion phenomenon appears in certain highway section and traffic congestion occur.Do not see at present the technology that can specifically count by certain highway section motor vehicle quantity.
The technology approaching with the present invention has the technology of utilizing infrared ray or laser to judge certain regional object of statistics process, and they utilize object to count through the number of times of out-of-date block signal, need object in order through the monitored area.Because vehicle is complicated and changeable in the situation of travels down, these technology can't be grafted directly to detection on the vehicle of travels down.
Summary of the invention:
The purpose of this invention is to provide and a kind ofly can detect the technology of sailing certain highway section motor vehicle quantity into and rolling this highway section motor vehicle quantity away from, by computing machine data are analyzed, thereby draw the quantitative analysis result of road traffic condition, for example: have and how much measure motor vehicle and on this highway section, travel, this road-section average per minute is by how many amount cars etc., for urban traffic management and Traffic Development provide service.
Technical scheme of the present invention is:
Infrared ray prison detection matrix device is installed in main entrance and outlet at road, detects the quantity of sailing and roll away from this highway section motor vehicle on a time period, by the analysis to data, draws the quantitative analysis result of this road traffic condition.
1. the formation of infrared detection matrix:
The infrared detection matrix embeds the infrared receiver in the road surfaces by two rows and is installed on the road surface infrared transmitter at several meters to be formed, distance between two row's infrared receivers is 0.5～2 meter, and every row's infrared receiver is made up of the infrared receiver tube and the corresponding receiving circuit at 0.2～0.9 meter at some intervals.Each infrared receiver tube and receiving circuit are formed one and are received head, and two rows receive head and are called A1, A2, A3 ... and B1, B2, B3 ...Infrared receiver tube with on the very little direction of vertical direction angle can not receive the signal that infrared transmitter is sent above it under the situation of blocking, in receiving circuit, produce low level signal, infrared receiver tube be subjected to the very little direction of vertical direction angle on can't receive the signal that infrared transmitter is sent above it under the situation of blocking, in receiving circuit, produce high level signal.For strengthen the reliability of infrared detection matrix, just infrared transmitter and receiver Anti-Jamming Technique.
2. infrared detection matrix statistics is through the principle of vehicle
The infrared detection matrix utilizes infrared and the stronger characteristics of receiving directivity, when the infrared ray receiving tube with on the very little direction of vertical direction angle can not receive the signal that infrared transmitter is sent above it under the situation of blocking, in receiving circuit, produce low level signal, infrared receiver tube be subjected to the very little direction of vertical direction angle on can not receive the signal that infrared transmitter is sent above it under the situation of blocking, in receiving circuit, produce high level signal, judge direction and quantity by vehicle.When vehicle process infrared detection matrix, vehicle successively blocks two row's infrared receivers, thereby judges the direction that vehicle passes through.Utilize same vehicle will block the infrared receiver of two above adjacent continuous of every row at least, and the vehicle that travels side by side can not block these characteristics of continuous infrared receiver, the infrared detection matrix can be distinguished the vehicle that travels side by side.Because each infrared receiver is when can not receive the signal that infrared transmitter sends, produce specific high level signal in the receiving circuit, utilize this characteristics, can judge constantly whether the infrared detection matrix is in normal duty, guarantee that the result that counts accurately and reliably.
3. single-chip microcomputer is judged counting principle
Single-chip microcomputer is judged counting principle figure as shown in Figure 1.Wherein 1,2,3 ... 32 expressions receive an A1, A2, A3 ... A32; 33,34,35 ... 64 expressions receive a B1, B2, B3 ... B32.
Single-chip microcomputer periodically detects and receives an A1, A2, A3 ... and B1, B2, B3 ... state, draw the direction that whether has vehicle to pass through and pass through by the situation that continuous high level judge to occur, the vehicle that both direction passes through is counted respectively.Monitoring periods required less than 1 meter used time of distance of vehicle ', guaranteed that the state when vehicle only blocks row's receiver can be detected, so that judge the direction of vehicle '.
65～72 expression ic chips, 1～IC8 is No. 8 phase inverters with high-impedance state; 73 expression ic chips 9 are singlechip microprocessor; 74 expression ic chips 10 are 3-8 code translators.The input end of IC1～IC4 is connected with a reception A1～A32 respectively, the input end of IC5～IC6 is connected with a reception B1～B32 respectively, the output terminal of IC1～IC8 is connected with the input interface of single-chip microcomputer IC9, the input of code translator IC10 is connected with the delivery outlet of single-chip microcomputer IC9, and the output of code translator IC10 is connected with the sheet choosing of IC1～IC8 respectively.
Judge in the count cycle for one at single-chip microcomputer, single-chip microcomputer is exported the chip select address of selecting IC1～IC8 at first one by one, after IC10 decoding, choose IC1～IC8 respectively, the data that the last expression of IC1～IC8 receives head status are read in the single-chip microcomputer, single-chip microcomputer will represent to receive an A1, A2, A3 ... and B1, B2, B3 ... the latest data of state is saved in variables A (1)～A (32) and B (1)～B (32) before, and the previous data of reading are saved in variables A A (1)～AA (32) and BB (1)～BB (32).Single-chip microcomputer judges that respectively appearance among A (1)～A (32) and B (the 1)～B (32) is 1 situation continuously and AA (1)～AA (32) and the middle appearance of BB (1)～BB (32) are 1 situation comparison continuously, for example: A (3)～A (6) occurs connecting 1 and judges AA (3)～AA (6), if majority is 0, illustrated that vehicle will pass through the infrared observation matrix, then judge BB (3)～BB (6), if majority is 0, illustrate that vehicle is to pass through the infrared observation matrix by A to the B direction, then to B direction counting once at A.If AA (3)～AA (6) majority is 1, illustrate that vehicle is by the infrared observation matrix, to the A of the back that judges data.
The analysis of certain section road traffic condition
The vehicle that the infrared detection matrix that certain section road two ends are provided with detects passes through quantity, determine with 1～5 minute to be the time period according to the requirement of deterministic process, send central computer respectively to according to entering road and leaving the road, central computer is by analyzing the vehicle number that (such as 2 minutes) enter and leave the road in a period of time, judge the quantity of existing vehicle on the road, and the quantity by vehicle, thereby draw the quantitative information of road traffic condition.Vehicle is less on the road, and the vehicle that enters and leave equates and the less explanation road of quantity is unimpeded; Vehicle is more on the road, and the vehicle that enters and leave is equal and quantity is bigger, illustrates that road is good; Vehicle is more on the road, and the vehicle that enters and leave is equal and quantity is less, illustrates how slowly current car is; Vehicle is more on the road, and the vehicle number that enters is very little greater than vehicle number that leaves or the vehicle number that leaves, illustrates traffic congestion has taken place.
Embodiment:
1. set up the traffic conditions monitoring system
The traffic monitoring system synoptic diagram as shown in Figure 2,1 expression is installed in the infrared detection matrix at crossing, 2 expressions are set up infrared detection matrix statistics are transferred to the data transmission system of central computer, 3 expression central computers through vehicle number.
At the road two ends that will monitor, the infrared detection matrix is installed, set up the data transmission system that the process vehicle number of infrared detection matrix statistics is transferred to central computer.Outside line detects matrix, and the data transmission system central computer of unifying constitutes traffic monitoring system.The infrared detection matrix embeds the infrared receiver in the road surfaces by two rows and is installed on the road surface infrared transmitter at several meters to be formed, distance between two row's infrared receivers is 0.5～2 meter, and every row's infrared receiver is made up of the infrared receiver tube and the corresponding receiving circuit at 0.2～0.7 meter at some intervals.The infrared detection matrix comprises the Single Chip Microcomputer (SCM) system that can analyze counting.Data transmission system can adopt wireless or wired mode and other known data transmission technology.Central computer carries out analyzing and processing respectively to the data of receiving, draws the details of road traffic condition.
2. issue and show monitoring result
The result pacifies photograph with monitoring analysis: A-is unimpeded, and (vehicle is less on the road, the vehicle that enters and leave is equal and quantity is less), the B-car passes through more, and well (vehicle is more on the road, the vehicle that enters and leave is equal and quantity is bigger), the C-car passes through more, and slowly (vehicle is more on the road, the vehicle that enters and leave equate and quantity less), D-traffic congestion (vehicle is more on the road, and the vehicle number that enters is very little greater than vehicle number that leaves or the vehicle number that leaves) is divided into 4 grades.Can utilize means such as paging centers or SMS, with all or part of mobile receiving device that is contained on the vehicle that sends to of the traffic conditions in each highway section, with green, indigo plant, Huang, red 4 kinds of colors are presented on the electronic chart, use for the user.
Claims (6)
1, a kind of method and traffic monitoring system with infrared ray matrix inspection vehicle flow is characterized in that this invention comprises following content:
1. in the main entrance and the outlet of road the infrared detection matrix device is installed, counts the quantity of sailing and roll away from this highway section motor vehicle on a time period,, draw the analysis result of this road traffic condition by analysis to data.
2. the infrared detection matrix embeds the infrared receiver in the road surfaces by two rows and is installed on the road surface infrared transmitter at several meters and forms, distance between two row's infrared receivers is 0.5～2 meter, and every row's infrared receiver is made up of the infrared receiver tube and the corresponding receiving circuit at 0.2～0.9 meter at some intervals.
3. the infrared observation matrix utilizes infrared receiver tube with on the very little direction of vertical direction angle can not receive the signal that infrared transmitter is sent above it under the situation of blocking, in receiving circuit, produce low level signal, infrared receiver tube be subjected to the very little direction of vertical direction angle on can not receive the signal that infrared transmitter is sent above it under the situation of blocking, in receiving circuit, produce high level signal, judge direction and quantity by vehicle.
4. traffic monitoring system is by being installed in the two ends infrared detection matrix that detects road, the data transmission system that is transferred to central computer through vehicle number of the infrared detection matrix statistics Computerized analysis system of unifying being formed.
2, according to the method and the traffic monitoring system of the described usefulness infrared ray matrix inspection vehicle flow of claim 1, it is characterized in that this technology periodically detects the state that receives head, by judging that the situation that continuous high level occurs draws the direction that whether has vehicle to pass through and pass through, and counts respectively the vehicle that both direction passes through; By road traffic condition is understood in the analysis by vehicle number.
3, according to the method and the traffic monitoring system of the described usefulness infrared ray matrix inspection vehicle flow of claim 1, the length that it is characterized in that the said time period is to determine according to the requirement of deterministic process.
4, according to the method and the traffic monitoring system of the described usefulness infrared ray matrix inspection vehicle flow of claim 1, it is characterized in that the distance between said two row's infrared receivers, be that the requirement that the state when only blocking row's receiver according to the assurance vehicle can be monitored to determines there is not the restriction of concrete numerical value; The interval of each infrared receiver is to determine there is not the restriction of concrete numerical value according to the requirement that same vehicle will block the infrared receiver of two above adjacent continuous of every row at least.
5, according to the method and the traffic monitoring system of the described usefulness infrared ray matrix inspection vehicle flow of claim 1, it is characterized in that said infrared detection matrix, utilize the stronger characteristics of infrared and receiving directivity, also can be with the strong technology that transmits and receives of laser isotropy.
6,, it is characterized in that said data transmission system can adopt wireless or wired mode and other known data transmission technology according to the method and the traffic monitoring system of the described usefulness infrared ray matrix inspection vehicle flow of claim 1.
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| CN 200610149088 CN1967623A (en) | 2006-11-23 | 2006-11-23 | Method for checking traffic flow by infrared ray matrix and traffic monitoring system |
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| CN 200610149088 CN1967623A (en) | 2006-11-23 | 2006-11-23 | Method for checking traffic flow by infrared ray matrix and traffic monitoring system |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894474A (en) * | 2010-07-21 | 2010-11-24 | 保定维特瑞交通设施工程有限责任公司 | High-order infrared traffic management system |
| CN103235089A (en) * | 2013-04-17 | 2013-08-07 | 北方工业大学 | System rapidly detecting influence of motor vehicle to atmospheric PM2.5, and operation method thereof |
| CN103235088A (en) * | 2013-04-17 | 2013-08-07 | 北方工业大学 | Real-time evaluation system of degree of atmospheric pollution caused by motor vehicle exhaust gas, and operation method thereof |
| CN104537845A (en) * | 2015-01-12 | 2015-04-22 | 重庆交通大学 | Method for utilizing laser and infrared rays for recognizing vehicle track |
| CN104867204A (en) * | 2014-02-20 | 2015-08-26 | 兰州交通大学 | Ultrasonic sensor array type automatic people counting detection system |
| CN106355895A (en) * | 2016-11-22 | 2017-01-25 | 四川农业大学 | Traffic flow and vehicle speed collecting device and method based on infrared matrixes |
| CN106779035A (en) * | 2017-01-15 | 2017-05-31 | 上海与德信息技术有限公司 | Number system and method |
| CN109300309A (en) * | 2018-10-29 | 2019-02-01 | 讯飞智元信息科技有限公司 | Road condition predicting method and device |
| CN109859499A (en) * | 2019-03-12 | 2019-06-07 | 华北理工大学 | A kind of traffic flow detection system and its detection method |
| CN111524370A (en) * | 2020-05-08 | 2020-08-11 | 湖南车路协同智能科技有限公司 | Road section traffic flow and vehicle statistical method |
| CN114927004A (en) * | 2022-03-28 | 2022-08-19 | 知鱼智联科技股份有限公司 | Underground parking lot vehicle guiding method and system |
| CN116884250A (en) * | 2023-07-12 | 2023-10-13 | 凉山州交通运输应急指挥中心 | Early warning method based on laser radar and expressway early warning system |
-
2006
- 2006-11-23 CN CN 200610149088 patent/CN1967623A/en active Pending
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894474A (en) * | 2010-07-21 | 2010-11-24 | 保定维特瑞交通设施工程有限责任公司 | High-order infrared traffic management system |
| CN101894474B (en) * | 2010-07-21 | 2014-07-02 | 保定维特瑞交通设施工程有限责任公司 | High-order infrared traffic management system |
| CN103235089A (en) * | 2013-04-17 | 2013-08-07 | 北方工业大学 | System rapidly detecting influence of motor vehicle to atmospheric PM2.5, and operation method thereof |
| CN103235088A (en) * | 2013-04-17 | 2013-08-07 | 北方工业大学 | Real-time evaluation system of degree of atmospheric pollution caused by motor vehicle exhaust gas, and operation method thereof |
| CN103235088B (en) * | 2013-04-17 | 2015-05-06 | 北方工业大学 | Real-time evaluation system of degree of atmospheric pollution caused by motor vehicle exhaust gas, and operation method thereof |
| CN103235089B (en) * | 2013-04-17 | 2015-06-24 | 北方工业大学 | System rapidly detecting influence of motor vehicle to atmospheric PM2.5, and operation method thereof |
| CN104867204A (en) * | 2014-02-20 | 2015-08-26 | 兰州交通大学 | Ultrasonic sensor array type automatic people counting detection system |
| CN104537845A (en) * | 2015-01-12 | 2015-04-22 | 重庆交通大学 | Method for utilizing laser and infrared rays for recognizing vehicle track |
| CN106355895A (en) * | 2016-11-22 | 2017-01-25 | 四川农业大学 | Traffic flow and vehicle speed collecting device and method based on infrared matrixes |
| CN106779035A (en) * | 2017-01-15 | 2017-05-31 | 上海与德信息技术有限公司 | Number system and method |
| CN109300309A (en) * | 2018-10-29 | 2019-02-01 | 讯飞智元信息科技有限公司 | Road condition predicting method and device |
| CN109859499A (en) * | 2019-03-12 | 2019-06-07 | 华北理工大学 | A kind of traffic flow detection system and its detection method |
| CN109859499B (en) * | 2019-03-12 | 2021-03-26 | 华北理工大学 | Traffic flow detection system and detection method thereof |
| CN111524370A (en) * | 2020-05-08 | 2020-08-11 | 湖南车路协同智能科技有限公司 | Road section traffic flow and vehicle statistical method |
| CN114927004A (en) * | 2022-03-28 | 2022-08-19 | 知鱼智联科技股份有限公司 | Underground parking lot vehicle guiding method and system |
| CN116884250A (en) * | 2023-07-12 | 2023-10-13 | 凉山州交通运输应急指挥中心 | Early warning method based on laser radar and expressway early warning system |
| CN116884250B (en) * | 2023-07-12 | 2024-01-26 | 凉山州交通运输应急指挥中心 | Early warning method based on laser radar and expressway early warning system |
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