CN201974943U - Traffic flow investigation system - Google Patents
Traffic flow investigation system Download PDFInfo
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- CN201974943U CN201974943U CN2011200197539U CN201120019753U CN201974943U CN 201974943 U CN201974943 U CN 201974943U CN 2011200197539 U CN2011200197539 U CN 2011200197539U CN 201120019753 U CN201120019753 U CN 201120019753U CN 201974943 U CN201974943 U CN 201974943U
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Abstract
The utility model provides a traffic flow investigation system, which comprises at least one piezoelectric sensor, at least one ground induction coil, emission-type photoelectric sensors and a set of data acquisition controller equipment, wherein the piezoelectric sensor is used for recording the number of axles and the spread of axles of each vehicle which passes through a lane, acquiring dynamic tire-to-ground pressure data when the vehicle passes and calculating the axle load of the vehicle; the ground induction coil is used for recognizing the bottom characteristics of the vehicle, assisting to recognize the type of the vehicle and providing induction signals when the vehicle passes; the emission-type photoelectric sensors are respectively arranged on vertical poles on the two sides of the lane in a grouped emitting way, and are used for judging the height of the vehicle and assisting to distinguish container trucks and super-large trucks; and the data acquisition controller equipment is used for receiving and processing induction data acquired when the vehicle passes through the ground induction coil, data acquired when the tires pass through the piezoelectric sensor and the real-time statuses of the emission-type photoelectric sensors when the vehicle passes, recognizing the type of the vehicle and transmitting data. By adopting the technical scheme, the traffic flow investigation system has the advantages that nine types of vehicles can be recognized, the detection of flow, spot speed, time headway, percent time-spent-following, space headway and time occupancy ratio can be realized and a dynamic weighing function can be realized at the same time.
Description
Technical field
The utility model is about the traffic flow investigation technology, particularly about a kind of model recognition system.
Background technology
At present the traffic flow investigation system is widely used in highway and the urban road, is mainly used in the vehicle that passes through is carried out somatotype identification and quantity statistics, for highway designs, maintenance, management provide the indispensable firsthand information.
Traffic flow investigation system applies more complicated is mainly reflected in round-the-clock, unmanned, therefore improves system recognition rate, and reliability, the long-term availability of assurance system are the matters of utmost importance in the system design.
Existing traffic flow investigation system mainly adopts single ground induction coil to detect, and piezoelectric sensor and ground induction coil carry out the vehicle somatotype in conjunction with this dual mode to be handled.But all there is certain problem in actual applications in this dual mode.For example:
(1) utilize ground induction coil to carry out traffic flow investigation merely.Utilize ground induction coil that the limited detection information of vehicle flowrate counting, occupation rate and part vehicle can only be provided,, utilize the detection mode of coil no longer suitable merely therefore in some occasions that the vehicle flow statistical information is had relatively high expectations.
(2) mode that combines with ground induction coil of piezoelectric sensor.Utilize this mode can realize vehicle is carried out vehicle classification, the detection of the line correlation traffic statistics information of going forward side by side, but weak point is, utilize these two kinds of sensors can't effectively distinguish the container car vehicle merely, and distribute for the more city for port city and container car, identify the container vehicle and have great significance for traffic planninng and management.
The utility model content
The purpose of this utility model is to provide a kind of traffic flow investigation system, is used for carrying out the classification of nine kinds of vehicles by vehicle, and to flow, the place speed of a motor vehicle, time headway, with the detection of car number percent, space headway, time occupancy.
The utility model provides a kind of traffic flow investigation system.This system comprises at least one piezoelectric sensor 102, lay according to garage's direction on each track, be used to write down the number of axle, wheelbase by each car in this track, tire ground pressure dynamic data and then calculating vehicle axle weight information when collection vehicle is passed through simultaneously, handle by the data that 104 pairs of piezoelectric sensors of data acquisition controller collect, obtain vehicle and pass through the place speed of a motor vehicle, time headway, follow car number percent, space headway, time occupancy information; At least one ground induction coil 101 is used for discerning the vehicle bottom characteristic, and aid identification vehicle and the induced signal that provides vehicle to pass through are subdivided into station wagon and jubilee wagon with compact car, and in-between car is subdivided into motorbus and medium truck; Paired correlation type photoelectric sensor 103 is installed in respectively in the vertical rod of both sides, track with the form of paired correlation, is used to judge height of car, and super-huge car is subdivided into container car and super-huge lorry; One sets of data acquisition controller equipment 104, be used to receive the sensed data of handling vehicle process ground induction coil sensor, the real-time status of the correlation type photoelectric sensor when ground pressure data when tire passes through piezoelectric sensor and vehicle pass through, thereby carry out the somatotype of vehicle, and realize flow, the place speed of a motor vehicle, time headway, with the detection of car number percent, space headway, time occupancy, output shows and data upload.
The technical solution of the utility model can realize centering minibus, jubilee wagon, motor bus, medium truck, high capacity waggon, super-huge lorry, container car, motorcycle and tractor, the classification of nine kinds of vehicles, the while can be satisfied vehicle flow, the place speed of a motor vehicle, time headway, be followed the detection of car number percent, space headway, time occupancy.The mode of utilizing piezoelectric sensor, ground induction coil and correlation type photoelectric sensor to combine can make the applicability of system more extensive.
Description of drawings
Fig. 1 is embodiment 1 arrangenent diagram of the present utility model;
Fig. 2 is embodiment 1 an overall work process flow diagram of the present utility model;
Fig. 3 is embodiment 1 a container car recognizer process flow diagram of the present utility model;
Fig. 4 is a system chart of the present utility model;
Fig. 5 is embodiment 2 arrangenent diagrams of the present utility model;
Fig. 6 is embodiment 2 container car recognizer process flow diagrams of the present utility model;
Embodiment
Be elaborated as follows below in conjunction with accompanying drawing to embodiment of the present utility model:
Embodiment 1:
Be illustrated in figure 1 as the arrangenent diagram of the utility model Application Example 1, when vehicle ' was passed through this system, the left and right wheels tire pressure was crossed piezoelectric sensor 102, and the data that obtain are sent to data acquisition controller 104, and the workflow of data acquisition controller as shown in Figure 2.Data acquisition controller is handled the information that preposition piezoelectric sensor and rearmounted piezoelectric sensor obtain, thereby obtain the number of axle, wheelbase, dynamic weight, the place speed of a motor vehicle, time headway of vehicle, with the information of car number percent, space headway, time occupancy, utilize the number of axle of vehicle and the identification that wheelbase can be realized compact car, in-between car, high capacity waggon, super-huge lorry.Data acquisition controller also will be handled the data that ground induction coil 101 obtains simultaneously, characteristic according to ground induction coil, when vehicle passes through ground induction coil in the top, car body ferromagnetic material and ground induction coil interact and have changed the frequency of coil, form induced signal, and the chassis height of this signal and vehicle, vehicle commander, ferromagnet distribution situation etc. have substantial connection, thereby can utilize this principle to distinguish vehicle.Carry out feature extraction according to the ground induction coil signal that collects, compact car is subdivided into middle-size and small-size passenger vehicle and jubilee wagon, in-between car is subdivided into motorbus and medium truck, distinguishes motorcycle and tractor, and the signal that utilizes ground induction coil to obtain can carry out the vehicle flowrate counting.A pair of correlation type photoelectric sensor is made up of an emitter and a receiving trap, utilize two pairs of correlation type photosensor regions to divide container car and super-huge lorry in this embodiment, identification process as shown in Figure 3, be positioned over the 3.8m place and the 4.2m place of vertical rod respectively, when blocking signal and vertical rod 4.2m place, the correlation type photoelectric sensor 103 that detects vertical rod 3.8m place do not have when blocking signal, recording controller blocks the time to this signal record, length is blocked in calculating, when the detected length of blocking when satisfying container car car length specialized range, be identified as the car length of container car and record container car; When the correlation type photoelectric sensor that detects vertical rod 3.8m place blocks signal and 4.2m place when also blocking signal, be identified as super-huge lorry; When signal is not all blocked in the correlation type photoelectric sensor that detects vertical rod 3.8m place and 4.2m place, be identified as super-huge lorry.
Fig. 4 is the system chart of present embodiment data acquisition controller 104, data acquisition controller adopts ARM as master controller, according to process object system is divided into master control borad, piezo electric module, coil module, optical-electric module, the display module 5 modules, wherein master control borad is responsible for the overall logic realization of system, piezo electric module mainly is responsible for compact car, in-between car, high capacity waggon, the identification of super-huge car, and obtain the traffic flow investigation place speed of a motor vehicle, time headway, with car number percent, space headway, the information of time occupancy, the while can obtain the dynamic weight of vehicle.Coil module mainly is responsible for compact car is subdivided into middle-size and small-size passenger vehicle and jubilee wagon, and in-between car is subdivided into motorbus and medium truck, distinguishes motorcycle and tractor, and the signal that utilizes ground induction coil to obtain can carry out the vehicle flowrate counting.Correlation type photoelectric sensor is installed in respectively in the vertical rod of road both sides, because the casing size of domestic container car has the standard specification restriction, so utilize correlation type photoelectric sensor to detect whether to be blocked and the time of blocking can be discerned the car length of container car and container car.These four modules connect by the I2C bus, and master control borad shows data transmission again to display module.
Embodiment 2:
Be illustrated in figure 5 as the arrangenent diagram of the utility model Application Example 2, vehicle ' is from preposition ground induction coil 201 and rearmounted ground induction coil 201 tops process, produce induced signal in the two-way coil respectively and be sent to data acquisition controller 204 through cable, data acquisition controller record two paths of signals the starting and ending time, handle the place speed of a motor vehicle, the time headway that obtains the vehicle process, the information of following car number percent, space headway, time occupancy through systematic analysis, simultaneously the induced signal that collects is carried out feature extraction and be sent to master control borad through the I2C bus; The left and right wheels tire pressure is crossed piezoelectric sensor 202 in the vehicle ' process, and the data that obtain are delivered to data acquisition controller, through piezoelectric sensor being obtained the analyzing and processing of data, can obtain the number of axle, wheelbase information.The number of axle that piezoelectric sensor obtains, wheelbase information, and can distinguish station wagon, jubilee wagon, medium truck, motorbus, high capacity waggon, super-huge car, motorcycle and tractor according to the data characteristics that ground induction coil extracts.A pair of correlation type photoelectric sensor 203 is used for distinguishing the super-huge lorry and the container car of super-huge car, is installed on the 3.8m place of both sides, track vertical rod respectively, and identification process when the correlation photoelectric sensor is blocked, is identified as container car as shown in Figure 6; Otherwise be identified as super-huge lorry.
Above embodiment only is used to illustrate the utility model, but not is used to limit the utility model.
Claims (2)
1. a traffic flow investigation system is characterized in that, described system comprises:
Be laid on corresponding one by one at least one piezoelectric sensor that is provided with on each bar track, be used to gather the number of axle, wheelbase, tire ground pressure dynamic data when collection vehicle is passed through simultaneously by each car in this track;
Be laid on corresponding one by one at least one ground induction coil that is provided with on each bar track;
Be arranged in the correlation type photoelectric sensor of both sides, track, be used to obtain traffick overall height and vehicle commander's information;
One sets of data acquisition controller equipment, overall height and vehicle commander's information of the correlation type photosensors record when sensed data, the ground pressure data when tire passes through piezoelectric sensor and the vehicle of collection and processing vehicle process ground induction coil passes through are discerned and data upload thereby carry out vehicle.
2. system according to claim 1 is characterized in that, described correlation type photoelectric sensor is installed on respectively in the vertical rod of both sides, track with the form of paired correlation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011200197539U CN201974943U (en) | 2011-01-21 | 2011-01-21 | Traffic flow investigation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011200197539U CN201974943U (en) | 2011-01-21 | 2011-01-21 | Traffic flow investigation system |
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| CN201974943U true CN201974943U (en) | 2011-09-14 |
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| CN2011200197539U Expired - Lifetime CN201974943U (en) | 2011-01-21 | 2011-01-21 | Traffic flow investigation system |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103134553A (en) * | 2013-01-31 | 2013-06-05 | 长安大学 | System and method of piezoelectric electricity self-generating speed and distance intelligent monitoring |
| CN104197859A (en) * | 2014-08-07 | 2014-12-10 | 安徽秋田电子有限公司 | Tank car recognition system |
| CN105225487A (en) * | 2015-10-28 | 2016-01-06 | 淮南师范学院 | The Real-Time Monitoring of a kind of crossing vehicle and discrimination system |
| CN105321343A (en) * | 2014-07-06 | 2016-02-10 | 临安巨丰城市配套设备有限公司 | A system and method for detecting traffic conditions of large vehicles on a road based on manhole covers |
| CN105447915A (en) * | 2015-11-06 | 2016-03-30 | 浙江宇视科技有限公司 | Vehicle access management method, apparatus, device and system |
| CN105788287A (en) * | 2016-02-04 | 2016-07-20 | 李福军 | City road vehicle information acquisition system |
| CN106652481A (en) * | 2017-01-05 | 2017-05-10 | 武汉市政工程设计研究院有限责任公司 | Remote self-powered traffic flow automatic detection device, system and method |
| CN107146418A (en) * | 2017-06-22 | 2017-09-08 | 南京南大光电工程研究院有限公司 | Vehicle flowrate monitoring method based on photoelectric measurement technology |
| CN107895478A (en) * | 2017-10-13 | 2018-04-10 | 浙江大学 | A kind of road surface traffic monitoring method |
| CN109410589A (en) * | 2018-08-30 | 2019-03-01 | 广州大学 | A kind of vehicle violation detection system based on compound piezoelectric sheet |
| CN109410596A (en) * | 2018-09-26 | 2019-03-01 | 句容市凯特电力电器有限公司 | Statistic Method on Traffic Volume based on multisensor interaction |
| CN110796753A (en) * | 2019-11-01 | 2020-02-14 | 山东中创软件工程股份有限公司 | Road vehicle detection device and detection method |
| CN113643531A (en) * | 2021-07-20 | 2021-11-12 | 东北大学 | Intersection lane saturation flow rate calculation method based on small time zone division statistics |
| CN116645818A (en) * | 2023-07-27 | 2023-08-25 | 山东高速集团有限公司创新研究院 | Vehicle type recognition method based on multidimensional feature extraction |
-
2011
- 2011-01-21 CN CN2011200197539U patent/CN201974943U/en not_active Expired - Lifetime
Cited By (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103134553B (en) * | 2013-01-31 | 2015-08-12 | 长安大学 | A kind of speed of a motor vehicle of piezoelectric self electricity and spacing intelligent monitor system and method |
| CN103134553A (en) * | 2013-01-31 | 2013-06-05 | 长安大学 | System and method of piezoelectric electricity self-generating speed and distance intelligent monitoring |
| CN105321343B (en) * | 2014-07-06 | 2017-08-25 | 临安巨丰城市配套设备有限公司 | A kind of system and method that cart traffic status in road is detected based on inspection well cover |
| CN105321343A (en) * | 2014-07-06 | 2016-02-10 | 临安巨丰城市配套设备有限公司 | A system and method for detecting traffic conditions of large vehicles on a road based on manhole covers |
| CN104197859A (en) * | 2014-08-07 | 2014-12-10 | 安徽秋田电子有限公司 | Tank car recognition system |
| CN105225487A (en) * | 2015-10-28 | 2016-01-06 | 淮南师范学院 | The Real-Time Monitoring of a kind of crossing vehicle and discrimination system |
| CN105447915A (en) * | 2015-11-06 | 2016-03-30 | 浙江宇视科技有限公司 | Vehicle access management method, apparatus, device and system |
| CN105788287A (en) * | 2016-02-04 | 2016-07-20 | 李福军 | City road vehicle information acquisition system |
| CN106652481A (en) * | 2017-01-05 | 2017-05-10 | 武汉市政工程设计研究院有限责任公司 | Remote self-powered traffic flow automatic detection device, system and method |
| CN107146418A (en) * | 2017-06-22 | 2017-09-08 | 南京南大光电工程研究院有限公司 | Vehicle flowrate monitoring method based on photoelectric measurement technology |
| CN107895478A (en) * | 2017-10-13 | 2018-04-10 | 浙江大学 | A kind of road surface traffic monitoring method |
| CN109410589A (en) * | 2018-08-30 | 2019-03-01 | 广州大学 | A kind of vehicle violation detection system based on compound piezoelectric sheet |
| CN109410589B (en) * | 2018-08-30 | 2021-07-27 | 广州大学 | Vehicle violation detection system based on piezoelectric composite board |
| CN109410596A (en) * | 2018-09-26 | 2019-03-01 | 句容市凯特电力电器有限公司 | Statistic Method on Traffic Volume based on multisensor interaction |
| CN110796753A (en) * | 2019-11-01 | 2020-02-14 | 山东中创软件工程股份有限公司 | Road vehicle detection device and detection method |
| CN113643531A (en) * | 2021-07-20 | 2021-11-12 | 东北大学 | Intersection lane saturation flow rate calculation method based on small time zone division statistics |
| CN116645818A (en) * | 2023-07-27 | 2023-08-25 | 山东高速集团有限公司创新研究院 | Vehicle type recognition method based on multidimensional feature extraction |
| CN116645818B (en) * | 2023-07-27 | 2023-10-10 | 山东高速集团有限公司创新研究院 | Vehicle type recognition method based on multidimensional feature extraction |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C56 | Change in the name or address of the patentee | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 100085 Beijing East Road, No. 1, building No. 5, building No. 601, No. Patentee after: Beijing Wanji Technology Co., Ltd. Address before: 100085 Beijing East Road, No. 1, building No. 5, building No. 601, No. Patentee before: Beijing Wanji Technology Co., Ltd. |
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| CX01 | Expiry of patent term |
Granted publication date: 20110914 |
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| CX01 | Expiry of patent term |