CN109191832B - Traffic flow monitoring method based on scattering characteristics of motor vehicle hubs - Google Patents
Traffic flow monitoring method based on scattering characteristics of motor vehicle hubs Download PDFInfo
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- CN109191832B CN109191832B CN201810936044.3A CN201810936044A CN109191832B CN 109191832 B CN109191832 B CN 109191832B CN 201810936044 A CN201810936044 A CN 201810936044A CN 109191832 B CN109191832 B CN 109191832B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000010287 polarization Effects 0.000 claims description 34
- 238000004088 simulation Methods 0.000 claims description 7
- 238000012795 verification Methods 0.000 claims description 2
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000006978 adaptation Effects 0.000 abstract description 2
- 230000002093 peripheral effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 239000013598 vector Substances 0.000 description 3
- 230000005855 radiation Effects 0.000 description 2
- 230000001172 regenerating effect Effects 0.000 description 2
- 239000000470 constituent Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005096 rolling process Methods 0.000 description 1
Classifications
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
Abstract
The invention discloses a traffic flow monitoring method based on the scattering characteristics of motor vehicle hubs, and the scheme adopted in the field at present is mainly based on technologies such as buried coil sensing, video monitoring, GPS and RFID response, infrared monitoring, micro Doppler and the like. The scheme for monitoring the traffic flow based on the scattering characteristics of the hub does not need to additionally arrange equipment or road surfaces and peripheral fixed facilities on the motor vehicle in the implementation process, has the characteristics of flexible deployment, high reliability, adaptation to all weather and the like, and has certain reference value for radar detection of the anti-stealth motor vehicle.
Description
Technical Field
The invention belongs to the technical field of target radar reflection characteristic application, and particularly relates to a traffic flow monitoring method based on motor vehicle hub scattering characteristics.
Background
With rapid development of technology, the mechanization process is continuously accelerated, and traffic has become an important constituent element for measuring the urban modernization level. However, with the expansion of city edges and the continual and rapid increase in economy, traffic congestion problems gradually spread to almost every city. Therefore, the method for effectively monitoring the traffic flow of the motor vehicle on the urban road and the main arterial road has important practical significance in the aspects of improving the travel efficiency, reasonably configuring traffic resources, improving the life happiness of residents and the like.
The scheme adopted in the field at present is mainly based on technologies such as buried coil sensing, video monitoring, GPS (global positioning system) and RFID (radio frequency identification) response, infrared monitoring and micro Doppler. However, the coil laying can cause damage to the pavement structure, and the failure rate is high due to climate change and frequent rolling; the video monitoring is easily affected by rain, snow, cloud and fog and illuminance, and all-weather guarantee cannot be realized; infrared rays are susceptible to failure due to the influence of the external environment temperature; GPS and RFID response requires coordination and guarantee of the motor vehicle, so that limitation exists in the aspects of management coverage and flow monitoring of special vehicles; the micro-motion Doppler technique is ineffective for stationary and slow-moving vehicles, so that the micro-motion Doppler technique cannot be widely popularized.
Disclosure of Invention
The invention provides a traffic flow monitoring method based on a hub scattering characteristic aiming at the defects of the prior art.
The invention discloses a traffic flow monitoring method based on a hub scattering characteristic, which specifically comprises the following steps:
step 1: theoretically analyzing radar scattering characteristics of targets, and calculating eigenfrequency ranges of hubs of non-motor vehicles and motor vehicles;
step 2: quantitatively analyzing the relation between the hub and the radar cross section of the motor vehicle, and referring to the actual structural size, establishing a three-dimensional model of the motor vehicle and the hub;
step 3: carrying out incident wave frequency scanning on the scattering characteristics of the motor vehicle and the wheel hub three-dimensional model established in the step 2 in the eigenfrequency range obtained by analysis in the step 1 to obtain a main polarization radar scattering section and an orthogonal polarization radar scattering section of the wheel hub, wherein a frequency point when the main polarization radar scattering section and the orthogonal polarization radar scattering section reach the maximum value simultaneously is taken as the eigenfrequency of the wheel hub;
step 4: simulating radar scattering characteristics of a HH, HV, VH, VV motor vehicle and a hub under the condition of the eigen frequency incident wave determined in the step 3, determining orthogonal polarization scattering characteristics of the hub as vehicle monitoring pickup parameters, and taking the incident angle of the incident wave when the radar scattering area of the hub is maximum;
step 5: and further carrying out simulation verification on the spatial distribution of the scattering characteristics of the hub under the condition of incident waves with different polarization angles under the condition of incident waves with the eigenfrequency, and taking the polarization angle of the incident waves when the radar scattering area of the hub is maximum.
Preferably, the radar cross sections of the motor vehicle and the hub are determined by adopting a moment method, and the simulation time and the simulation precision are taken into account.
Compared with the prior art, the scheme for monitoring the traffic flow based on the scattering characteristics of the hub does not need to be additionally provided with equipment or road surfaces and peripheral fixed facilities in the implementation process, has the characteristics of flexible deployment, high reliability, adaptation to all weather and the like, and has certain reference value for anti-stealth radar detection of the motor vehicle.
Drawings
FIG. 1 is a schematic view of the azimuth angle of an incident wave;
the RCS polarization component contrast plot of the hub of fig. 2;
FIG. 3 is a schematic diagram of current vector distribution of a hub regenerative radiation field under the action of radar incident waves;
FIG. 4 (a) is a spatial distribution diagram of the fully polarized RCS of a motor vehicle at eigenfrequencies;
FIG. 4 (b) is a spatial distribution diagram of the hub fully polarized RCS at eigenfrequency;
FIG. 5 is a graph showing the contrast of the spatial distribution of RCS in the orthogonal polarizations of the hub at different polarization angles.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
For convenience of description, the relevant symbols are defined as follows:
superscript "t": incident field
Superscript "s": and scattering the field.
E: electric field strength
The method comprises the following specific steps:
step 1: obtaining radar cross section of target through theoretical analysisIts size is related to the size, shape, material, surface structure, wavelength, angle and polarization direction of the incident field. For this reason, different vehicle hub sizes were counted and their eigenfrequency ranges were calculated as shown in table 1, which would fall within the range of 134-313 MHz, where the frequency range was widened to 100-500 MHz in order to ensure accurate positioning of the hub eigenfrequency points in the subsequent simulations.
Table 1 different types of vehicle hub sizes and eigenfrequency ranges
Step 2: building a three-dimensional model of the motor vehicle and a hub thereof, and taking the motor vehicle model with the size of 4223mm, 1873mm, 1865mm and 16in as the diameter of the hub by referring to the actual motor vehicle structure; simulated azimuth angle indicationThe intention is as shown in fig. 1, wherein:wave vectors that are incident fields; />Is the beam incident angle; θ is the beam pitch angle; η is the beam polarization angle.
Step 3: in order to further determine the corresponding eigenfrequency of the hub established in step 2, the radar cross section of the hub is frequency scanned in the eigenfrequency range calculated in step 1. As shown in fig. 2, the main polarization and orthogonal polarization radar cross-section of the motor vehicle hub is maximized at 255MHz, and thus this frequency is considered as the eigenfrequency of the hub.
Step 4: the current vector distribution diagram of the hub regenerative radiation field under the action of radar incident waves shown in fig. 3 verifies that the hub has orthogonal polarization components under the irradiation of radar incident waves, and then under the condition of the eigenfrequency incident waves determined in the step 3, the four polarization arrangements, namely HH, HV, VH, VV ("H" and "V" represent horizontal polarization and vertical polarization), are simulated, and the spatial distribution characteristics of radar scattering of the motor vehicle and the hub are shown in fig. 4 (a) and (b), and when the motor vehicle is irradiated by 255MHz incident electromagnetic waves, the numerical value of radar scattering cross section generated by the four polarization arrangements of the motor vehicle is small, and the volatility is strong. The orthogonal polarization scattering characteristic of the hub is obvious, the value is enhanced by 30dB compared with a three-dimensional model of the motor vehicle, the VH scattering characteristic of the hub is in a trend of increasing and then reducing along with the change of the incident angle theta, at theta=90 degrees,the direction RCS value is the largest, and has good angle selection characteristics.
Step 5: in order to further verify the polarization scattering characteristics of the hub, the spatial distribution of the orthogonal polarization scattering characteristics of the hub under the incident wave with the polarization angle of 0 degrees, 30 degrees, 60 degrees and 90 degrees is simulated. As can be seen from fig. 5, when the polarization angle is 0 °, the orthogonal polarization component of the hub, i.e., the one-dimensional longitudinal direction in VH arrangement is strongest; the polarization angle is 90 deg. i.e. the one-dimensional longitudinal direction in HV alignment is the weakest. The radar scattering characteristics of the hub are most remarkable when the incident wave is incident in vertical polarization, and the purposes of target detection and identification are most facilitated.
Claims (2)
1. A traffic flow monitoring method based on the scattering characteristics of a motor vehicle hub, which is characterized by comprising the following steps:
step 1: theoretically analyzing radar scattering characteristics of targets, and calculating eigenfrequency ranges of hubs of non-motor vehicles and motor vehicles;
step 2: quantitatively analyzing the relation between the hub and the radar cross section of the motor vehicle, and referring to the actual structural size, establishing a three-dimensional model of the motor vehicle and the hub;
step 3: carrying out incident wave frequency scanning on the scattering characteristics of the motor vehicle and the wheel hub three-dimensional model established in the step 2 in the eigenfrequency range obtained by analysis in the step 1 to obtain a main polarization radar scattering section and an orthogonal polarization radar scattering section of the wheel hub, wherein a frequency point when the main polarization radar scattering section and the orthogonal polarization radar scattering section reach the maximum value simultaneously is taken as the eigenfrequency of the wheel hub;
step 4: simulating radar scattering characteristics of a HH, HV, VH, VV motor vehicle and a hub under the condition of the eigen frequency incident wave determined in the step 3, determining orthogonal polarization scattering characteristics of the hub as vehicle monitoring pickup parameters, and taking the incident angle of the incident wave when the radar scattering area of the hub is maximum;
step 5: and further carrying out simulation verification on the spatial distribution of the scattering characteristics of the hub under the condition of incident waves with different polarization angles under the condition of incident waves with the eigenfrequency, and taking the polarization angle of the incident waves when the radar scattering area of the hub is maximum.
2. A method of traffic flow monitoring based on motor vehicle hub scattering characteristics as claimed in claim 1, wherein: the radar cross sections of the motor vehicle and the hub are determined by adopting a moment method, and the simulation time and the simulation precision are taken into account.
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| CN201810936044.3A CN109191832B (en) | 2018-08-16 | 2018-08-16 | Traffic flow monitoring method based on scattering characteristics of motor vehicle hubs |
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| CN201810936044.3A CN109191832B (en) | 2018-08-16 | 2018-08-16 | Traffic flow monitoring method based on scattering characteristics of motor vehicle hubs |
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| CN109191832B true CN109191832B (en) | 2024-01-16 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101136141A (en) * | 2007-10-12 | 2008-03-05 | 清华大学 | Vehicle type classification method based on single frequency continuous-wave radar |
| CN102713665A (en) * | 2009-09-17 | 2012-10-03 | 曼彻斯特城市大学 | Detection of objects |
| CN103064073A (en) * | 2012-12-04 | 2013-04-24 | 上海无线电设备研究所 | Method based on frequency agility for changing radar target properties |
| CN107134143A (en) * | 2016-02-26 | 2017-09-05 | 南京航空航天大学 | A kind of vehicle flowrate based on continuous wave radar sentences method for distinguishing with vehicle |
-
2018
- 2018-08-16 CN CN201810936044.3A patent/CN109191832B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101136141A (en) * | 2007-10-12 | 2008-03-05 | 清华大学 | Vehicle type classification method based on single frequency continuous-wave radar |
| CN102713665A (en) * | 2009-09-17 | 2012-10-03 | 曼彻斯特城市大学 | Detection of objects |
| CN107390212A (en) * | 2009-09-17 | 2017-11-24 | 无线电物理解决方案有限公司 | Object detection |
| CN103064073A (en) * | 2012-12-04 | 2013-04-24 | 上海无线电设备研究所 | Method based on frequency agility for changing radar target properties |
| CN107134143A (en) * | 2016-02-26 | 2017-09-05 | 南京航空航天大学 | A kind of vehicle flowrate based on continuous wave radar sentences method for distinguishing with vehicle |
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