CN106652446A - Offline-online mode based road traffic noise dynamic simulation method - Google Patents
Offline-online mode based road traffic noise dynamic simulation method Download PDFInfo
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- CN106652446A CN106652446A CN201611080195.0A CN201611080195A CN106652446A CN 106652446 A CN106652446 A CN 106652446A CN 201611080195 A CN201611080195 A CN 201611080195A CN 106652446 A CN106652446 A CN 106652446A
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- noise
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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
- G08G1/0125—Traffic data processing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
Abstract
The invention discloses an offline-online mode based road traffic noise dynamic simulation method, which specifically comprises the steps of automatically acquiring building and road network information data from a GIS (Geographic Information System), and generating a receiving point grid according to a calculation accuracy requirement; automatically dividing a continuous road network replaced by equally spaced fixed points in microscopic traffic simulation so as to form gridding sound source points; for each pair of sound source point and receiving point, calculating a noise transmission attenuation value thereof in an offline manner with building influences being considered, and storing the calculated noise transmission attenuation value into a database; inputting the road network information data and actual traffic information into microscopic traffic simulation, and acquiring position, type, speed and acceleration information of dynamic vehicles in real time; and combining a vehicle noise emission model, calling the noise transmission attenuation values stored in the database online according to the vehicle position and the receiving point position, and outputting a dynamic traffic noise result. The method disclosed by the invention is applied to road traffic noise simulation for a complex building scene, and can effectively solve a problem that large-area dynamic traffic noise simulation is too low in time efficiency.
Description
Technical field
The present invention relates to traffic noise dynamic Simulation Techniques field, more particularly, to a kind of based on offline-line model
Road traffic noise Dynamic Simulation Method.
Background technology
With the development of computational science, the simulation of traffic flow becomes reality, fusion traffic flow simulation technology and noise meter
The noise dynamic Simulation Techniques being integrated also are occurred in that therewith.The great advantage of the method is careful can to simulate traffic flow to exist
Operation conditions and its impact to noise in the complexity road scene of city, and obtain the time space distribution of noise.At present, move
State analogy method is widely used in the traffic noise distribution research of the special road type in urban microscopic region i.e. city, such as overhead road
Road, tunnel, intersection etc..Relative to the method for Steady Traffic Flow, Dynamic Simulation Method can careful simulation traffic flow in spy
The running status of different road, so as to provide the telecommunication flow information of dynamic change for noise calculation.
But the maximum shortcoming of existing traffic noise Dynamic Simulation Method is that the calculating time is long, and committed memory resource is big, especially
It is when the situation of regional urban traffic noise dynamic analog is applied to.In the complicated urban environment, building is deposited
In the complexity for causing sound transmission simulation, the dynamic multipath reflection and Diffraction Problems for processing sound is proposed to computational methods
Very high time efficiency and space efficiency demand, therefore traditional road traffic noise dynamic analog needs very big improvement.
The content of the invention
Present invention aim to overcome that the shortcoming of prior art and deficiency, there is provided a kind of computational efficiency is high, space requirement is little,
Road traffic noise Dynamic Simulation Method of the processing method simply based on offline-line model, for intercity complex building
Traffic noise dynamic analog in the case of thing.
To solve above-mentioned technical problem, the technical solution used in the present invention is:
A kind of road traffic noise Dynamic Simulation Method based on offline-line model, comprises the steps of:
A () obtains building and road network information data automatically from GIS-Geographic Information System (GIS), and according to computational accuracy need
Generate reception dot grid;
B mode that () is divided automatically using computer program, is replaced in microscopic traffic simulation with equidistant fixing point
Continuous road network, formed gridding point source of sound;
C () is to every a pair of point sources of sound and receiving point, it is considered to effect on building, off-line calculation its noise transmission pad value, and
In storing database;
D () imports road network information data and actual traffic information in microscopic traffic simulation, and obtain dynamic vehicle in real time
Position, type, speed and acceleration information;
E () combines vehicle noise and discharges model, called online in database according to vehicle location and receiving point position and stored
Noise transmission pad value, export dynamic traffic noise result.
The core of the present invention is that the good all of point source of sound of off-line calculation-receiving point decay is right, and stores them in number
According to storehouse, in order to partly directly invoke online without calculating them in real time.The thinking of method is to call noise transmission offline
Model calculates propagation attenuation, and is stored in database, and propagation attenuation result is directly invoked in line computation, and this depends on grid
Change the realization of point source of sound:Replace the time dependent vehicle point source of sound near it with the point source of sound of fixed position, for a pair
Fixed position point source of sound and the receiving point of fixed position, only call a noise transmission model to go to calculate propagation attenuation.
The present invention can be divided into off-line calculation part and online calculating section.Database is primarily to two parts of transmission
Data and storage basic data.
Further, the information of the building include building numbering, building angular coordinate, depth of building,
Building surface attribute.
Further, the actual traffic information includes traffic OD matrixes and traffic control rule.
Further, in the step (a), according to Practical Calculation accuracy requirement, ratio is divided where near road
The reception dot grid of comparatively dense, divides than sparse reception dot grid where away from road.
Further, in the step (b), the point source of sound of gridding is fixed on the point midway of respective stretch, road
The sound that all vehicles send in section is equivalent into the sound directly sent from the point source of sound of gridding.
Further, in the step (c), the target of offline part is to calculate all of point source of sound-receiving point decay
It is right, and be stored in database, grid point source of sound has identical unit radiation value in calculating process.
Further, in the step (c), any pair point source of sound and receiving point pair, the propagation attenuation between them
Value calculates the effect of blocking for considering building, and each pad value is calculated with the simulation of bundle of rays back tracking method.
Further, in the step (e), in online calculating process, sentenced by the real-time vehicle position information for obtaining
Section residing for disconnected vehicle, and transfer the corresponding pad value of the point source of sound of the section gridding and carry out noise calculation.
Further, in the step (e), the noise figure of certain moment a certain receiving point is the moment all road network vehicles
Summation to receiving point noise contribution.
Compared with prior art, present invention has the advantages that:When road traffic noise dynamic analog is carried out, by from
The pattern of line-online, needs the online propagation attenuation value off-line calculation for calculating in real time simultaneously to carry out database purchase script, passes through
With calling data to replace, the mode that data are calculated in real time improves the time of traffic noise dynamic analog and space is imitated during online
Rate.It is embodied in:
(1) simulation of big regional traffic noise typically has substantial amounts of input data, and manually input service amount is heavy.This
Invention employs map in script editor's GIS-Geographic Information System so as to can be automatically imported road network information to microscopic traffic simulation
Part, imports building information to noise transmission model, and receiving point gridding is stored in into database, so as at data and place
Time efficiency is substantially increased in reason;
(2) during dynamic analog traffic noise, the position of vehicle point source of sound and intensity are continuously updated over time, therefore, each
Each car of time step is required for calling vehicle noise model to go to calculate propagation attenuation, and this is a very time-consuming process.
The present invention replaces the time dependent vehicle point source of sound near it with the point source of sound of fixed position, then for a pair of fixed positions
Point source of sound and the receiving point of fixed position, it is only necessary to call a noise transmission model to go to calculate propagation attenuation, greatly reduce
Line computation time and save the space of storage calculating process data.
Description of the drawings
Fig. 1 is the road traffic noise Dynamic Simulation Method flow chart based on offline-line model.
Fig. 2 is that road is divided into gridding point source of sound schematic diagram.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention will be further described, but embodiments of the present invention are not limited to this.
As shown in figure 1, the present invention provides a kind of road traffic noise Dynamic Simulation Method based on offline-line model.
Realized by following steps:
Step 1:Programmed using script, obtain building and road network information automatically from GIS-Geographic Information System (GIS)
Data, and needed to generate reception dot grid according to computational accuracy.According to Practical Calculation accuracy requirement, draw where near road
Divide the reception dot grid than comparatively dense, divide where away from road than sparse reception dot grid.
Step 2:As shown in Fig. 2 the mode divided automatically using computer program, in microscopic traffic simulation with equidistantly
Fixing point replace continuous road network, formed gridding point source of sound.Detailed process is:
By section AB by spacing △ L to be divided into some (in this example be 3) individual sections.Point source of sound is fixed on respective stretch
Point midway, i.e. S1, S2 and S3.Said process is repeated to all of section in road network, whole road network is separated into into point source of sound
Grid.
Step 3:To every a pair of point sources of sound and receiving point, it is considered to the effect of blocking of building, to each pad value IPWith
The simulation of bundle of rays back tracking method is calculated, and is stored in database.Calculating considers the impact of four kinds of sound:
IP=ID+IR+IDiff+ICom
In formula, ID,IR,IDiffAnd IComIt is respectively direct projection sound, reflected sound, diffraction sound and compound sound ray contribution amount.
Step 4:Road network information data and actual traffic information are imported in microscopic traffic simulation, and obtains Dynamic Vehicle in real time
Position ((x, y)), type (type), speed (v) and acceleration (a) information.
Step 5:Section residing for vehicle is judged by the real-time vehicle position information for obtaining, and transfers the section gridding
The corresponding pad value of point source of sound carries out noise calculation.The noise figure L of certain moment a certain receiving pointP(t)It is the moment all road network cars
Summation to receiving point noise contribution:
In formula, M is the vehicle fleet in the calculating angular field of view with receiving station P as the center of circle;ρ0It is atmospheric density (kg/
m3);C is the aerial spread speed of sound (m/s);P0It is the reference sound pressure level at reference distance.IP(i,t)It is by step
Rapid 3 pad values in i-th car of moment t tried to achieve.
Step 6:Output target area target time section dynamic traffic noise result.
The embodiment of invention described above, does not constitute limiting the scope of the present invention.It is any at this
Done modification, equivalent and improvement etc. within bright spiritual principles, should be included in the claim protection of the present invention
Within the scope of.
Claims (9)
1. a kind of road traffic noise Dynamic Simulation Method based on offline-line model, it is characterised in that comprising following step
Suddenly:
A () obtains building and road network information data automatically from Distribution GIS, and needed to generate according to computational accuracy
Receive dot grid;
B () uses the mode for dividing automatically, the continuous Road replaced with equidistant fixing point in microscopic traffic simulation
Net, forms gridding point source of sound;
C () is to every a pair of point sources of sound and receiving point, it is considered to which building affects on the reflection of sound and diffraction, off-line calculation its noise
Propagation attenuation value, and store in database;
D () imports road network information data and actual traffic information in microscopic traffic simulation, and obtain in real time dynamic vehicle position,
Type, speed and acceleration information;
E () combines vehicle noise and discharges model, call what is stored in database to make an uproar online according to vehicle location and receiving point position
Acoustic propagation pad value, exports dynamic traffic noise result.
2. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In the information of the building includes building numbering, building angular coordinate, depth of building, building surface attribute, uses
In the parameter input that sound attenuating is calculated.
3. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In actual traffic information includes traffic OD matrixes and traffic control rule in the step (d).
4. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In, in the step (a), being needed to generate reception dot grid according to computational accuracy, the density for generating reception dot grid is specially:
In formula, d is distance (rice) of the receiving point apart from road, and q is computational accuracy coefficient correlation.
5. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In in the step (b), the point source of sound of gridding is fixed on the point midway of respective stretch, and all vehicles send in section
Sound it is equivalent into the sound directly sent from the point source of sound of gridding.
6. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In in the step (c), all of point source of sound of off-line calculation-receiving point decay is right, and is stored in database, calculating process
Middle grid point source of sound has identical unit radiation value.
7. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In in the step (c), any pair point source of sound and receiving point pair, the propagation attenuation value between them is calculated and considers building
The effect of blocking of thing, each pad value is calculated with the simulation of bundle of rays back tracking method.
8. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In, in the step (e), in online calculating process, section residing for vehicle is judged by the real-time vehicle position information for obtaining, and
Transferring the corresponding pad value of point source of sound of the section gridding carries out noise calculation.
9. the road traffic noise Dynamic Simulation Method based on offline-line model according to claim 1, its feature exists
In in the step (e), the noise figure of certain moment a certain receiving point is the moment all road network vehicles to receiving point noise contribution
Summation.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109472973A (en) * | 2018-03-19 | 2019-03-15 | 国网浙江桐乡市供电有限公司 | A kind of real-time traffic methods of exhibiting and system based on voice recognition |
CN109668960A (en) * | 2018-11-23 | 2019-04-23 | 中山大学 | A kind of point sound source house group decay calculation method |
WO2022095249A1 (en) * | 2020-11-09 | 2022-05-12 | 中国科学院深圳先进技术研究院 | Noise simulation method and system, terminal and storage medium |
CN116453541A (en) * | 2023-06-16 | 2023-07-18 | 中山大学 | Sound source intensity prediction method and device, electronic equipment and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130197790A1 (en) * | 2012-01-31 | 2013-08-01 | Taif University | Method and system for traffic performance analysis, network reconfiguration, and real-time traffic monitoring |
CN104008644A (en) * | 2014-06-06 | 2014-08-27 | 中国民航大学 | Urban road traffic noise measurement method based on gradient descent |
CN104021669A (en) * | 2013-02-28 | 2014-09-03 | 北京市劳动保护科学研究所 | Fast construction method of localization road traffic noise source intensity model |
CN203869771U (en) * | 2013-11-21 | 2014-10-08 | 中山大学 | Vehicle-mounted noise discharge measuring system of motor vehicle |
CN105335622A (en) * | 2015-11-25 | 2016-02-17 | 南京航空航天大学 | Aircraft noise interpolation method based on generic gridding airport perception |
-
2016
- 2016-11-30 CN CN201611080195.0A patent/CN106652446A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130197790A1 (en) * | 2012-01-31 | 2013-08-01 | Taif University | Method and system for traffic performance analysis, network reconfiguration, and real-time traffic monitoring |
CN104021669A (en) * | 2013-02-28 | 2014-09-03 | 北京市劳动保护科学研究所 | Fast construction method of localization road traffic noise source intensity model |
CN203869771U (en) * | 2013-11-21 | 2014-10-08 | 中山大学 | Vehicle-mounted noise discharge measuring system of motor vehicle |
CN104008644A (en) * | 2014-06-06 | 2014-08-27 | 中国民航大学 | Urban road traffic noise measurement method based on gradient descent |
CN105335622A (en) * | 2015-11-25 | 2016-02-17 | 南京航空航天大学 | Aircraft noise interpolation method based on generic gridding airport perception |
Non-Patent Citations (2)
Title |
---|
何德文等: "《环境评价》", 31 December 2014, 中国建材工业出版社 * |
马侠霖 等: "计算机动态模拟方法在城市交通噪声监测中的应用", 《计算技术与自动化》 * |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109472973A (en) * | 2018-03-19 | 2019-03-15 | 国网浙江桐乡市供电有限公司 | A kind of real-time traffic methods of exhibiting and system based on voice recognition |
CN109472973B (en) * | 2018-03-19 | 2021-01-19 | 国网浙江桐乡市供电有限公司 | Real-time traffic display method based on voice recognition |
CN109668960A (en) * | 2018-11-23 | 2019-04-23 | 中山大学 | A kind of point sound source house group decay calculation method |
CN109668960B (en) * | 2018-11-23 | 2020-09-29 | 中山大学 | Point sound source house group attenuation calculation method |
WO2022095249A1 (en) * | 2020-11-09 | 2022-05-12 | 中国科学院深圳先进技术研究院 | Noise simulation method and system, terminal and storage medium |
CN116453541A (en) * | 2023-06-16 | 2023-07-18 | 中山大学 | Sound source intensity prediction method and device, electronic equipment and storage medium |
CN116453541B (en) * | 2023-06-16 | 2023-09-19 | 中山大学 | Sound source intensity prediction method and device, electronic equipment and storage medium |
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