CN106571031A - Traffic noise dynamic simulation method by combining cellular automaton traffic flow model - Google Patents
Traffic noise dynamic simulation method by combining cellular automaton traffic flow model Download PDFInfo
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- CN106571031A CN106571031A CN201610935035.3A CN201610935035A CN106571031A CN 106571031 A CN106571031 A CN 106571031A CN 201610935035 A CN201610935035 A CN 201610935035A CN 106571031 A CN106571031 A CN 106571031A
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- G—PHYSICS
- G08—SIGNALLING
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- 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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Abstract
The invention provides a traffic noise dynamic simulation method by combining a cellular automaton traffic flow model. The method is suitable for dynamic simulation calculation of road traffic noise. The method comprises a traffic flow simulation module, a vehicle noise discharge calculation module and a noise propagation attenuation calculation module, wherein the traffic flow simulation module is realized through the cellular automaton traffic flow model. The method comprises the following calculating steps: carrying out dynamic simulation on road traffic flow through the traffic flow simulation module; inputting vehicle type, speed and accelerated speed obtained through traffic flow simulation into the vehicle noise discharge calculation module to carry out vehicle noise discharge calculation, and meanwhile, inputting vehicle position parameter obtained through traffic flow simulation into the noise propagation attenuation calculation module to calculate attenuation amount; and finally, obtaining a noise value of a receiving point by combining the calculation results of the vehicle noise discharge calculation module and the noise propagation attenuation calculation module. The method greatly simplifies traffic flow simulation process and has the advantages of small calculation amount and accurate and reliable simulation calculation result.
Description
Technical field
The present invention relates to road traffic noise dynamic analog calcutation field, can be used for accurate simulation hybrid multilane road
Traffic noise value and its dynamic change under the traffic flow effect of road.
Background technology
While urban highway traffic offers convenience to people's lives, environmental pollution is also result in, wherein traffic noise is dirty
Dye problem becomes one of main Environmental Problems of interference people orthobiosiss.It can be seen that the main big and medium-sized cities traffic of current China is made an uproar
Sound pollution is very serious, and work, study and rest to people cause great impact, or even induce various diseases
Disease.With the growth of vehicles number, traffic noise pollution situation will also be increasingly severeer, especially in some big and medium-sized cities.
Prediction calculating to traffic noise is that the important foundation that traffic noise is prevented and treated works.Traditional traffic noise prediction meter
Calculation method is static models calculating method, also referred to as equation, typically considers further that noise transmission declines on the basis of noise source emission
The correction term composition that each influence factor in subtracting produces.These factors generally comprise the volume of traffic, propagation distance, barrier
Effect, air absorption, the effect on ground etc..The advantage of model calculating method is to calculate easy, but can only reflect instantaneous noise value or
The energy average level of noise in certain a period of time, exists and predicts that target is single, cannot reflect fluctuations of traffic noise etc.
Shortcoming, it is impossible to meet the needs of dynamic prediction.With the development of computer technology, using the random mistake such as computer simulation traffic flow
The method of journey is day by day ripe, and scholars are proposed by traffic noise computation model in combination with microscopic traffic flow simulation, Jin Ershi
The method for now dynamic analog calcutation being carried out to traffic noise, i.e. dynamic simulation method.
Existing traffic noise Dynamic Simulation Method generally comprises a Dynamic Traffic Flow simulation tool, this dynamic traffic
Flow field simulation instrument generally realizes that advantage is computation model mature and reliable, but has calculating using complicated traffic simulation software
Amount is big, modeling complexity is with noise calculation process the shortcomings of interacting inconvenience.Cellular Automation Model by continuous space and when
Between carry out sliding-model control, simulate the operating of real things with limited cellular quantity and simple evolution rule and developed
Journey.Because cellular Automation Model can effectively simulate vehicle microscopic movement state in traffic flow, show for describing actual traffic
As the superiority with uniqueness, therefore it is widely used in single-way traffic, multilane traffic, traffic congestion, public transport in recent years
The research of all kinds of traffic problems such as station, bicycle traffic, pedestrian traffic.Up to the present, there is not yet by cellular automata
The method that traffic flow model realizes traffic noise dynamic analog as Dynamic Traffic Flow simulation tool.
The content of the invention
Present invention aim to overcome that the shortcoming of prior art, there is provided a kind of simple and effective road traffic noise dynamic analog
Plan method.The method realizes the dynamic analog of traffic flow using specific cellular automaton traffic flow, further with friendship
Through-flow analog result realizes the calculating of dynamic traffic noise.Have that model structure is simple, amount of calculation is little, setting side using the method
Just the characteristics of, there is very high accuracy to the dynamic analog of road traffic noise.
For achieving the above object, the technical solution used in the present invention is as follows：
A kind of traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow, the process of realization is：Using traffic flow
Emulation module carries out dynamic simulation to road traffic flow, type of vehicle, speed and the acceleration three that Traffic Flow Simulation is obtained
Input vehicle noise discharge module carries out vehicle noise discharge and calculates, while the vehicle position parameter that Traffic Flow Simulation is obtained is defeated
Enter noise transmission attenuation module and calculate attenuation, the calculating knot of comprehensive vehicle noise emission module and noise transmission attenuation module
Fruit obtains the dynamic noise value of receiving point；
Wherein described Traffic Flow Simulation module is realized by cellular automaton traffic flow.
The method can simulate a series of traffic noise value of time points, obtain the dynamic change of noise at receiving point.
Preferably, its vehicle noise discharge computing module is by testing the single vehicle noise emission model realization for measuring.
Preferably, noise transmission decay calculation module includes range attenuation calculating sub module, air calculation in absorption submodule
With barrier decay calculation submodule.
Preferably, the cellular automaton traffic flow for being adopted arranges the hybrid vehicle comprising large, medium and small three kinds of vehicles
Stream, the VELOCITY DISTRIBUTION of three kinds of vehicle vehicles can be different, and the VELOCITY DISTRIBUTION of every kind of vehicle can be on demand set during simulation.
Preferably, the vehicle in the cellular automaton traffic flow for being adopted follows traveling rule, lane-change rule and side
Boundary's condition.
Preferably, in step-by-step procedure, the traveling rule that the vehicle in cellular automaton traffic flow is followed is：Accelerate
Process, moderating process, random moderating process, renewal vehicle location 4 steps of process are developed.
Preferably, the vehicle in cellular automaton traffic flow in evolutionary process, advise by changing lane, the road that specifically shines
It is then：Motorcycle is paid the utmost attention in right lane only, and lane-change to the left is paid the utmost attention to during car lane-change, excellent during large car lane-change
First consider lane-change to the right.
Preferably, cellular automaton traffic flow adopts periodic boundary condition, vehicle to drive to after dead end street, will
System is entered from the other end of road.
Compared with prior art, advantages of the present invention is mainly reflected in：One is compared to existing traffic noise dynamic calculation
Model, the present invention not only can calculate the equivalent sound level of receiving point, can also calculate a series of instantaneous noise of time points, obtain
The dynamic rule of noise；Two is compared to existing traffic noise Dynamic Simulation Method, the Traffic Flow Simulation mistake of the present invention
Journey is simple, arranges convenient, and amount of calculation is little.
Description of the drawings
Fig. 1 is the computing module figure of the inventive method.
Fig. 2 is the schematic diagram of the inventive method；
Wherein：1-empty cellular, the 2-cellular that occupied by vehicle, 3-noise Rx point.
Specific embodiment
Accompanying drawing being for illustration only property explanation, it is impossible to be interpreted as the restriction to this patent；It is attached in order to more preferably illustrate the present embodiment
Scheme some parts to have omission, zoom in or out, do not represent the size of actual product；
To those skilled in the art, some known features and its possible omission of explanation will be understood by accompanying drawing.Under
Face is described further in conjunction with the accompanying drawings and embodiments to technical scheme.
Such as Fig. 1, a kind of traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow, the process of realization is：
Dynamic simulation is carried out to road traffic flow using Traffic Flow Simulation module, type of vehicle that Traffic Flow Simulation is obtained, speed and
Three input vehicle noise discharge modules of acceleration carry out vehicle noise discharge and calculate, while the vehicle that Traffic Flow Simulation is obtained
Location parameter input noise propagation attenuation module calculates attenuation, comprehensive vehicle noise emission module and noise transmission decay mode
The result of calculation of block obtains the dynamic noise value of receiving point；
Wherein described Traffic Flow Simulation module is realized by cellular automaton traffic flow.
According to cellular automaton traffic flow is set up accompanying drawing 2 Suo Shi, number of track-lines may be configured as 2, and cellular length can be arranged
For 10 m, width may be configured as 4 m.Road vehicle is divided into large car, car and motorcycle three types.When initial
Carve, according to a certain percentage random mixed distribution on two tracks, and is generated at random initial by VELOCITY DISTRIBUTION probability for three kinds of vehicles
Speed.Time step takes 1 s, when common mode intends 3600 steps.In step during t → t+1, the vehicle in model was by accelerating
Journey, moderating process, random moderating process, renewal vehicle location 4 steps of process are developed.
During Evolution Simulation, the ginseng such as vehicle, position, speed and acceleration of each car is recorded during each step
Number, while these parameter input vehicle noise discharge models and noise transmission decay calculation model are carried out into computing, and by two
The result of calculation of model is processed, and calculates noise figure during each step at receiving point.Evolution Simulation for a period of time after, will be every
Noise figure during individual step is counted, and calculates the equivalent sound level at receiving point.
The vehicle noise discharge model for being described can be tested and by experimental data using recurrence by single vehicle noise emission
Analysis method is obtained, and |input paramete is type of vehicle, velocity amplitude, accekeration, and output parameter is single vehicle at parameter distance
A-weighted sound level.
The noise transmission attenuation model for being described is the theoretical and empirical equation obtained according to physics principle, comprising distance
Decay calculation, three parts of air calculation in absorption and barrier decay calculation.
Obviously, the above embodiment of the present invention is only intended to clearly illustrate example of the present invention, and is not right
The restriction of embodiments of the present invention.For those of ordinary skill in the field, may be used also on the basis of the above description
To make other changes in different forms.There is no need to be exhaustive to all of embodiment.It is all this
Any modification, equivalent and improvement made within the spirit and principle of invention etc., should be included in the claims in the present invention
Protection domain within.
Claims (8)
1. a kind of traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow, it is characterised in that realize process
For：Dynamic simulation is carried out to road traffic flow using Traffic Flow Simulation module, type of vehicle, the speed that Traffic Flow Simulation is obtained
Vehicle noise discharge is carried out with three input vehicle noise discharge modules of acceleration to calculate, while the car that Traffic Flow Simulation is obtained
Location parameter input noise propagation attenuation module calculates attenuation, and comprehensive vehicle noise emission module and noise transmission decay
The result of calculation of module obtains the dynamic noise value of receiving point；
Wherein described Traffic Flow Simulation module is realized by cellular automaton traffic flow.
2. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 1, it is special
Levy and be, its vehicle noise discharge computing module is by testing the single vehicle noise emission model realization for measuring.
3. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 1, it is special
Levy and be, noise transmission decay calculation module includes range attenuation calculating sub module, air calculation in absorption submodule and barrier
Decay calculation submodule.
4. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 1, it is special
Levy and be, the cellular automaton traffic flow for being adopted arranges the mixed flow comprising large, medium and small three kinds of vehicles, three kinds of cars
The VELOCITY DISTRIBUTION of type vehicle can be different, and the VELOCITY DISTRIBUTION of every kind of vehicle can be on demand set during simulation.
5. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 1, it is special
Levy and be, the vehicle in the cellular automaton traffic flow for being adopted follows traveling rule, lane-change rule and boundary condition.
6. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 5, it is special
Levy and be, in step during t → t+1, the traveling rule that the vehicle in cellular automaton traffic flow is followed is：Accelerated
Journey, moderating process, random moderating process, renewal vehicle location 4 steps of process are developed.
7. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 1, it is special
Levy and be, the vehicle in cellular automaton traffic flow in evolutionary process, changing lane, specifically shining road rule be：Rub
Motorcycle is paid the utmost attention in right lane only, and lane-change to the left is paid the utmost attention to during car lane-change, pays the utmost attention to during large car lane-change
Lane-change to the right.
8. the traffic noise Dynamic Simulation Method of combination cellular automaton traffic flow according to claim 1, it is special
Levy and be, cellular automaton traffic flow adopts periodic boundary condition, vehicle to drive to after dead end street, by from road
The other end is entered.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107301289A (en) * | 2017-06-20 | 2017-10-27 | 南京邮电大学 | A kind of implementation method of the Cellular Automata Model of Traffic Flow based on intelligent game |
| CN110009257A (en) * | 2019-04-17 | 2019-07-12 | 青岛大学 | Multiple dimensioned variable window cellular Automation Model based on urban traffic blocking sprawling analysis |
| CN112907950A (en) * | 2021-01-20 | 2021-06-04 | 东南大学 | Cellular transmission model improvement method for vehicle-road cooperative environment |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107301289A (en) * | 2017-06-20 | 2017-10-27 | 南京邮电大学 | A kind of implementation method of the Cellular Automata Model of Traffic Flow based on intelligent game |
| CN107301289B (en) * | 2017-06-20 | 2020-11-13 | 南京邮电大学 | Method for realizing traffic flow cellular automaton model based on intelligent game |
| CN110009257A (en) * | 2019-04-17 | 2019-07-12 | 青岛大学 | Multiple dimensioned variable window cellular Automation Model based on urban traffic blocking sprawling analysis |
| CN110009257B (en) * | 2019-04-17 | 2023-09-08 | 青岛大学 | Multi-scale variable window cellular automaton model based on urban traffic congestion spreading analysis |
| CN112907950A (en) * | 2021-01-20 | 2021-06-04 | 东南大学 | Cellular transmission model improvement method for vehicle-road cooperative environment |
| CN112907950B (en) * | 2021-01-20 | 2022-04-01 | 东南大学 | Cellular transmission model improvement method for vehicle-road cooperative environment |
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Application publication date: 20170419 |