CN108763661A - A method of visibility is influenced based on Monte Carlo simulation road table moisture film - Google Patents
A method of visibility is influenced based on Monte Carlo simulation road table moisture film Download PDFInfo
- Publication number
- CN108763661A CN108763661A CN201810441203.2A CN201810441203A CN108763661A CN 108763661 A CN108763661 A CN 108763661A CN 201810441203 A CN201810441203 A CN 201810441203A CN 108763661 A CN108763661 A CN 108763661A
- Authority
- CN
- China
- Prior art keywords
- water
- visibility
- water mist
- monte carlo
- moisture film
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Hardware Design (AREA)
- Evolutionary Computation (AREA)
- Geometry (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a kind of methods influenced on visibility based on Monte Carlo simulation road table moisture film.For certain wet road surface of rainy day, on the basis of considering the characterisitic parameter of wet road surface, establish the concentration model that water mist is splash to the moisture film that rear car visibility has an impact, the scattering properties parameter that water mist particle is calculated using the innovatory algorithm of Mie theories applies the influence that Monte Carlo Monte Carlo Method of Stochastic simulates moisture film to visibility.The present invention is that rainy day wet road surface causes water mist to influence data to visibility to estimate and provide a kind of method for numerical simulation, the method is simply, conveniently, influence of the road table moisture film to visibility can rationally be estimated, visibility distance and specification stopping sight distance can also be compared based on this, safe speed is obtained, speed limit notice is formulated for highway early warning and plays booster action.
Description
Technical field
The invention belongs to digital simulation technical field, more particularly to a kind of side that simulation road table moisture film influences visibility
Method.
Background technology
China Higher grade highway construction development is rapid, and highway carries the most shipping in the whole nation and passenger traffic task, is to hand over
The important link of logical transport.However, severe natural cause can improve the difficulty of highway communication, lead to major traffic accidents frequency
Hair.Rainfall can not be ignored travel safety influence.Rain and fog weather can make driver generate intense strain, interfere driver's sight,
Reduce road visibility.Highway wet traffic accident rate is high 2~10 times of fine day accident rate, and a rainy day traffic accident causes
Loss compared with normal weather increase by 30%.
After rainfall, plain asphalt road surface can form moisture film, and the anti-slide performance of road declines, and usually causes wheel side sliding, vehicle
Afterwards the problems such as water mist.Water mist also can generate very big interference to the sight of rear car after vehicle.At present about rainfall to road traffic safety
Influence case study be typically directly to be observed to the visibility of rainy day, and it is dangerous to study the driving that visibility brings,
Influence of the water mist to visibility after the vehicle splash without consideration moisture film；Moreover, because moisture film splash water mist observation complexity and
Uncertainty directly measures moisture film and splashes influence cost prohibitive of the water mist to visibility at the scene.Also just because of this, also lacks now
Weary feasible simulation calculates the scheme that road table moisture film influences visibility.
Invention content
To solve the above problems, being influenced on visibility based on Monte Carlo simulation road table moisture film the invention discloses a kind of
Method, simply, conveniently, the water mist that the table moisture film that can not only satisfy the need generates carries out quantitative analysis to the method for the present invention, can will also see
Distance is compared with specification stopping sight distance, obtains safe speed, is formulated speed limit notice for highway early warning and is played booster action.
The present invention uses following technical scheme to solve above-mentioned technical problem：One kind being based on Monte Carlo simulation road table moisture film
On the method that visibility influences, include the following steps：
Step 1, road table water film thickness is calculated according to rainfall intensity and pavement characteristics parameter；
Step 2, the water mist mechanism of production for crossing wet road surface according to vehicle and splashing calculates the water corresponding to different speeds
Fog particles concentration；
Step 3, the scattering properties parameter of water mist particle is calculated using Michaelis Mie scattering theories；
Step 4, Monte Carlo Monte Carlo methods are based on, the multiple scattering model that photon is propagated in water mist is established；
Step 5, definition index and multiple scattering algorithm model based on atmospheric visibility, simulation obtain road table moisture film and splash
Influence of the water mist to visibility.
Preferably, in the step 1 for common waterproof pavement, road table water film thickness calculation formula is:
H=0.1258l0.6715·i-0.3147·r0.7786·TD0.7261
In above formula, h is road table water film thickness, unit mm；L is road surface drainage length, and i is drainage grade, is closed by way of road
At the gradient；R is rainfall intensity, unit mm/min；TD is pavement structural depth, unit mm.
Preferably, the generation mechanism that the moisture film in the step 2 splashes water mist includes headstock wave BW, side wave SW, tire
Wave TP, and stick wave CA.Headstock wave is the water mist generated in front of tire, and side wave is the backward water mist that tire side is splash,
Tire wave inception be the dead astern that generates of rear tire to water mist, it is the water mist rolled of tire longitudinal fluting to stick wave.Wherein, to rear car energy
The water mist that degree of opinion has an impact is side wave SW and tire wave inception TP.
Preferably, specific corresponding to the water mist particle concentration of different speeds based on water film thickness calculating in the step 2
Include the following steps：
The water of side wave SW and tire wave inception TP calculate：
Wherein, v is speed, unit m/s；B is tyre width, unit m；H is water film thickness, unit m；γwIt is the close of water
Degree, 1000kg/m3；MRTPAnd MRSWIt is the water of SW and TP, unit kg/s respectively；K is that the non-recessed width of tire tread accounts for
Than generally taking 0.75；hfilmIt is that tire rotates the water film thickness taken up every time, the depth of water takes 0.0001m when being more than 0.0001m, no
H when sufficientfilmIt is taken as the depth of water；hgrooveIt is the water thickness on tyre surface, the depth of water takes 0.01m when being more than 0.01m, h when insufficientgrooveIt is taken as water
It is deep.
The water mist total amount that rear car visibility has an impact is calculated：
MR=MRTP+MRSW
Particle volume fraction (CV) calculation formula：
Water mist particle concentration (N0) calculation formula：
Wherein, N0It is water mist particle concentration, unit is a/m3；V0It is the volume of single water mist particle, if water mist particle is equal
For spherical water droplet.
Preferably, the Michaelis Mie scattering theories in the step 3 calculate the scattering properties parameter calculating of water mist particle specifically
It is as follows：
It is m to be set as refractive index, and the medium of scale parameter α is I by light intensity0, wavelength is the illumination of λ,
Angle of scattering is θ, distance is the scattered light intensity I received at RθFor：
Wherein, i1And i2Referred to as scatter the intensity function of light；α is the scale parameter of particle, by wavelength X and water mist particle
Diameter D determinations,M=m1+im2For the refractive index of particle, m2≠ 0 indicates absorption；S1And S2Referred to as scatter shaking for light
Width function, is expressed as：
Wherein, an、bnReferred to as Mie coefficients, πnAnd τnCalculating formula：
τn=πnCos (θ)-π 'n·sin2(θ)
Wherein, πn' recurrence formula be：π 'n=(2n-1) πn-1+ π 'n-2。ψn,ζn,ψn' and ζn' calculation formula：
Scattering phase function P (θ) is that scattering energy of the light in the unit solid angle of some specific direction accounts for all directions
The ratio between scattering energy in upper average unit solid angle, calculating function is：
Finally, scattering properties parameter (extinction coefficient K is obtainedext, absorption coefficient KaWith scattering coefficient Ks)：
Ka=Kext-Ks
Preferably, the Monte Carlo simulation photon multiple scattering basic thought in the step 4 is will to launch from light source
Photodegradation at single photon, each event (escape, scattering, absorbs collision) for being happened at the photon lifetime has certain
Probability density, the track of each photon is built with probability density；When the photon numbers of consideration are sufficiently large, statistical method close to
Practical solution.
Preferably, the multiple scattering model that photon is propagated in water mist indicates as follows：It is parallel to the faces XOY i.e. XOY from a certain
Face is that the plane of detection plane emits the directional lights of certain photon numbers to Z axis negative direction, the life cycle of photon end in by
It absorbs or escapes to detection plane.
(1) the transmission step-length d of photon：Transmission step-length d is that the distance undergone between colliding twice in succession occurs for photon.It is right
In the propagation of photon in the medium, transmission step-length d is determined by following formula：r1It is derived from [0,1] area for one
Between equally distributed random number.
(2) after photon and water mist particle collide, photon may be absorbed or scattered by water mist particle.When
When, photon is absorbed by water mist, is otherwise scattered, r2It is derived from the equally distributed random number in [0,1] section for one.
(3) photon encounters water mist particle, if generating collision, and is not scattered by absorption.The new movement road of the photon
Diameter is determined by the scattering phase function P (θ) of medium.In the plane perpendicular to photon transmission path, the new direction of propagationSide
To value ber3It is derived from the equally distributed random number in [0,1] section for one.The angle of new direction and original route
θ, i.e. angle of scattering.Enable r4It is derived from the equally distributed random number in [0,1] section for one, is metOne can be acquired
A exact scatteringangleθ and r4It is corresponding.It finds outThe new direction of propagation of photon has just been obtained with θ both directions.
Then the equally distributed digital r randomly generated in [0,1] section is derived from using 41、r2、r3、r4, fully describe
The interaction probabilistic model of photon and water mist particle.This 4 random numbers play difference in Monte Carlo probabilistic models
Effect：r1Determine the propagation distance between photon collides twice, r2Determine collision as a result, r3With r4After determining scattering
The new direction of motion of photon.
Preferably, in the step 5, in meteorology, visibility is index with meteorological optical range, refers to incandescent lamp and sends out
Colour temperature for the luminous flux of the collimated light beam of 2700K weaken in an atmosphere to initial value 5% by length.
By obtaining the optical diffusion characteristic parameter needed for the process of Monte Carlo simulation, writes matlab programs and realize that illiteracy is special
Carlow is simulated, and the number of photons that a large amount of photons reach receiving plane after Multiple Scattering is calculated, due to photon numbers and luminous flux
It is directly proportional, it is believed that when number of photons is reduced to the 5% of initial value, just to have reached the boundary of visibility distance, from there through atmospheric optics
Visual range principle calculates visibility.
The present invention has the following technical effects using above technical scheme is compared with the prior art：
The present invention is established and is had an impact to rear car visibility on the basis of considering the characterisitic parameter of wet road surface
Moisture film splashes the concentration model of water mist, and the scattering properties parameter of water mist particle is calculated using the innovatory algorithm of Mie theories, application
Monte Carlo Monte Carlo Method of Stochastic simulates influence of the moisture film to visibility, solves rainy day wet road surface
Water mist is caused to influence the problem of data are estimated to visibility.Meanwhile method disclosed by the invention is simple, conveniently, when specific implementation
Visibility distance and specification stopping sight distance can also be compared, obtain safe speed, formulated speed limit notice for highway early warning and play
Booster action.
Description of the drawings
Fig. 1 is the step flow chart of the specific embodiment of the invention；
Fig. 2 is the simulation schematic diagram that photon is propagated in water mist；
Fig. 3 is the algorithm pattern of Monte Carlo simulation photon lifetime；
Fig. 4 is water film thickness 5mm, and when design speed 120km/h, detection plane range can be reached in 10000 photons
Photon numbers；
Visibility when Fig. 5 is different speeds is schemed with stopping sight distance SSD.
Specific implementation mode
Technical scheme of the present invention is described in further detail below in conjunction with the accompanying drawings：
In a particular embodiment, speed limit selection is carried out to wet road surface using the invention method, as shown in Figure 1, main packet
Include following steps：
Step 1, road table water film thickness is calculated according to rainfall intensity and pavement characteristics parameter.
For common waterproof pavement, road table water film thickness calculation formula is:
H=0.1258l0.6715·i-0.3147·r0.7786·TD0.7261
In above formula, h is road table water film thickness, unit mm；L is road surface drainage length, and i is drainage grade, is closed by way of road
At the gradient；R is rainfall intensity, unit mm/min；TD is pavement structural depth, unit mm.
The present embodiment studies the road surfaces SMA, and l takes 12m, and i 3.2%, r are when region of Southeast meets lasting in 5 years one
Between 5min rain time in be 3.125mm/min；TD is 1.35mm.Calculate most main road table water film thickness is about 5.9mm.
Step 2, the water mist mechanism of production for crossing wet road surface according to vehicle and splashing calculates the water corresponding to different speeds
Fog particles concentration.
Moisture film splashes the generation mechanism of water mist generally there are four types of waveform, including headstock wave BW, side wave SW, tire wave inception TP,
With stick wave CA.Headstock wave is the water mist generated in front of tire, and side wave is the backward water mist that tire side is splash, tire wave inception
The dead astern generated for rear tire to water mist, it is the water mist rolled of tire longitudinal fluting to stick wave.Wherein, rear car visibility is produced
The raw water mist influenced is side wave SW and tire wave inception TP.
Preferably, specific corresponding to the water mist particle concentration of different speeds based on water film thickness calculating in the step 2
Include the following steps：
The water of side wave SW and tire wave inception TP calculate：
Wherein, v is speed, unit m/s；B is tyre width, unit m；H is water film thickness, unit m；γwIt is the close of water
Degree, 1000kg/m3；MRTPAnd MRSWIt is the water of SW and TP, unit kg/s respectively；K is that the non-recessed width of tire tread accounts for
Than generally taking 0.75；hfilmIt is that tire rotates the water film thickness taken up every time, the depth of water takes 0.0001m when being more than 0.0001m, no
H when sufficientfilmIt is taken as the depth of water；hgrooveIt is the water thickness on tyre surface, the depth of water takes 0.01m when being more than 0.01m, h when insufficientgrooveIt is taken as water
It is deep.
The water mist total amount that rear car visibility has an impact is calculated：
MR=MRTP+MRSW
Particle volume fraction (CV) calculation formula：
Water mist particle concentration calculation formula：
Wherein, N0It is water mist particle concentration, unit is a/m3；V0It is the volume of single water mist particle, unit m3If water mist
Particle is spherical water droplet.
When load-carrying vehicle is run at high speed, tire makes the effect of atomisation of waterfilm be similar to jet stream mist to a certain extent with ground
Change the physical process for forming a large amount of drops.Sauter mean diameter SMD indicates that imaginary size is single and diameter is equal with one
Actual population is replaced by SMD populations, keeps the ratio of total volume and total surface area constant.Corresponding to 120,90 He of speed
The SMD of 70km/h is respectively 500,800 and 1000 μm.The water film thickness being finally calculated is the water for respectively corresponding to different speeds
Fog particles concentration is as shown in table 1.
Table 1
Step 3, the scattering properties parameter of water mist particle is calculated using Michaelis Mie scattering theories.
It is m=1.333+0.000196i to be set as refractive index, and the medium of scale parameter α is I by light intensity0, wavelength λ
=0.55 μm of illumination, angle of scattering is θ, distance is the scattered light intensity I received at RθFor：
Wherein, i1And i2Referred to as scatter the intensity function of light；α is the scale parameter of particle, by wavelength X and water mist particle
SMD determinations,M=m1+im2For the refractive index of particle, m2≠ 0 indicates absorption；S1And S2Referred to as scatter light
Amplitude function is expressed as：
Wherein, an、bnReferred to as Mie coefficients, πnAnd τnCalculating formula：
τn=πnCos (θ)-π 'n·sin2(θ)
Wherein, πn' recurrence formula be：π 'n=(2n-1) πn-1+π′n-2。ψn,ζn,ψn' and ζn' calculation formula：
Scattering phase function P (θ) is that scattering energy of the light in the unit solid angle of some specific direction accounts for all directions
The ratio between scattering energy in upper average unit solid angle, calculating function is：
Finally, scattering properties parameter (extinction coefficient K is obtainedext, absorption coefficient KaWith scattering coefficient Ks)：
Ka=Kext-Ks
In the above series, the sum of n=1 to n=∞ are taken, calculation amount is very huge.Since higher order term finally counts parameter
The influence of calculation value is little, and increases with its exponent number and constantly reduce, in actually calculating, according to required precision, nstopIt can be empirically
Formula takes：nstop=α+c α ^ (1/3)+b, c is between 4~4.05, and b is between 1~2.It is final to obtain each scattering properties parameter such as table
2。
| SMD(μm) | α | nstop | Kext | Ks | Ka |
| 500 | 2856 | 3000 | 2.4056 | 2.4053 | 0.0003 |
| 800 | 4570 | 4700 | 2.2244 | 2.2243 | 0.0001 |
| 1000 | 5712 | 5800 | 2.0976 | 2.0975 | 0.0001 |
Table 2
Step 4, Monte Carlo Monte Carlo methods are based on, the multiple scattering model that photon is propagated in water mist is established.
Monte Carlo simulation photon multiple scattering basic thought is, by the photodegradation launched from light source at single photon,
Each event such as escape, collision, scattering, absorption for being happened at the photon lifetime has certain probability density, close with probability
Degree builds the track of each photon；When the photon numbers of consideration are sufficiently large, statistical method is close to practical solution.
The simulation signal that photon is propagated in water mist is as shown in Figure 2：From a certain faces the XOY i.e. plane of detection plane that is parallel to
Emit the directional light of certain photon numbers to Z axis negative direction, the life cycle of photon is ended in be absorbed or escaped to detection and be put down
Face.
(1) the transmission step-length d of photon：Transmission step-length d is that the distance undergone between colliding twice in succession occurs for photon.It is right
In the propagation of photon in the medium, transmission step-length d is determined by following formula：r1It is derived from [0,1] area for one
Between equally distributed random number.
(2) after photon and water mist particle collide, photon may be absorbed or scattered by water mist particle.When
When, photon is absorbed by water mist, is otherwise scattered, r2It is derived from the equally distributed random number in [0,1] section for one.
(3) photon encounters water mist particle, if generating collision, and is not scattered by absorption.The new movement road of the photon
Diameter is determined by the scattering phase function P (θ) of medium.In the plane perpendicular to photon transmission path, the new direction of propagationSide
To value ber3It is derived from the equally distributed random number in [0,1] section for one.The angle of new direction and original route
θ, i.e. angle of scattering.Enable r4It is derived from the equally distributed random number in [0,1] section for one, is metOne can be acquired
A exact scatteringangleθ and r4It is corresponding.It finds outThe new direction of propagation of photon has just been obtained with θ both directions.
It is derived from the equally distributed digital r randomly generated in [0,1] section using 41、r2、r3、r4, fully describe light
The interaction probabilistic model of son and water mist particle.This 4 random numbers play different works in Monte Carlo probabilistic models
With：r1Determine the propagation distance between photon collides twice, r2Determine collision as a result, r3With r4Determine light after scattering
The new direction of motion of son.
Step 5, the definition based on atmospheric visibility and multiple scattering algorithm model, simulation obtain the water that road table moisture film is splash
Influence of the mist to visibility.
In meteorology, visibility is index with meteorological optical range, refers to incandescent lamp and sends out the directional light that colour temperature is 2700K
The luminous flux of beam weaken in an atmosphere to initial value 5% by length.
By obtaining the optical diffusion characteristic parameter needed for the process of Monte Carlo simulation, writes matlab programs and realize as schemed
Algorithm shown in 3 carries out Monte Carlo simulation, calculates the number of photons that a large amount of photons reach receiving plane after Multiple Scattering, by
It is directly proportional to luminous flux in photon numbers, it is believed that when number of photons is reduced to the 5% of initial value, just to have reached the side of visibility distance
Boundary calculates visibility from there through meteorological optical range principle.
It is 1.2m, the intersection point of sight bullet and ground centered on human eye according to driver's human eye height when stadia computation
For radius, it is taken as 1.697m, design circular reception face.Finally, it is 5mm in water film thickness, when design speed 120km/h, 10000
The photon numbers that detection plane range can be reached in a photon are as shown in Figure 4.
Step 2-5 is repeated, it is corresponding to obtain the difference speed in different water film thickness h=0.5mm, 1mm, 2.5mm and 5mm
Visibility and specification stopping sight distance SSD.When visibility is more than stopping sight distance, it is considered as safety, corresponding speed is safe speed.
As shown in figure 5, when water film thickness is 5mm, when speed 120km/h, visibility even can be down to 100m or so,
Considerably increase the probability that major motor vehicle safety accident occurs.Different water film thickness h=0.5mm, 1mm, 2.5mm and 5mm are corresponded to
Safe speed be respectively 93,96,101,106km/h.
In conclusion the present invention solves the problems, such as that rainy day wet road surface causes water mist to influence data to visibility and estimates.
In addition to the implementation, the present invention can also have other embodiment.All technologies formed using equivalent substitution or equivalent transformation
Scheme is fallen within the scope of protection required by the present invention.
Claims (8)
1. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film, which is characterized in that include the following steps：
Step 1, road table water film thickness is calculated according to rainfall intensity and pavement characteristics parameter；
Step 2, the water mist generation mechanism for crossing wet road surface according to vehicle and splashing calculates the water mist grain corresponding to different speeds
Sub- concentration；
Step 3, the scattering properties parameter of water mist particle is calculated using Mie theory；
Step 4, it is based on monte carlo method, establishes the multiple scattering model that photon is propagated in water mist；
Step 5, the index based on atmospheric visibility and multiple scattering algorithm model, simulation obtain the water mist pair that road table moisture film is splash
The influence of visibility.
2. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 1, special
Sign is that in step 1, the road table water film thickness calculation formula is：
H=0.1258l0.6715·i-0.3147·r0.7786·TD0.7261；
In above formula, h is road table water film thickness, unit mm；L is road surface drainage length, and i is drainage grade, and slope is synthesized by way of road
Degree；R is rainfall intensity, unit mm/min；TD is pavement structural depth, unit mm.
3. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 1, special
Sign is that in step 2, the water mist generation mechanism includes side wave SW, tire wave inception TP；The side wave is tire side
The backward water mist splash, tire wave inception be rear tire generate dead astern to water mist.
4. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 3, special
Sign is, being calculated in the water mist particle concentration corresponding to different speeds based on water film thickness in the step 2, side wave SW and
The water calculation formula difference of tire wave inception TP is as follows：
Wherein, v is speed, unit m/s；B is tyre width, unit m；H is water film thickness unit m；γwIt is the density of water,
1000kg/m3；MRTP and MRSW is the water of SW and TP, unit kg/s respectively；K is that the non-recessed width of tire tread accounts for
Than；hfilmIt is that tire rotates the water film thickness taken up every time；hgrooveIt is the water thickness on tyre surface.
5. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 4, special
Sign is that the width accounting is 0.75；The h when depth of water is more than 0.0001mfilm0.0001m is taken, h when insufficientfilmIt is taken as the depth of water；Water
H when being more than 0.01m deeplygroove0.01m is taken, h when insufficientgrooveIt is taken as the depth of water.
6. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 1, special
Sign is, in step 3, extinction coefficient Kext, absorption coefficient KaWith scattering coefficient KsIt is the scattering properties ginseng of single water mist particle
Number, accounting equation are：
Ka=Kext-Ks
Wherein, α is scale parameter, is determined by the wavelength X of irradiation light and the diameter D of water mist particle,bnReferred to as Mie
Coefficient；Re expressions take real part.
7. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 1, special
Sign is, in step 4, the Monte Carlo simulation photon multiple scattering is photodegradation that will launch from light source into single light
Son builds the track of each photon with probability density.
8. a kind of method influenced on visibility based on Monte Carlo simulation road table moisture film according to claim 1, special
Sign is that in steps of 5, in meteorology, visibility is index with meteorological optical range, refers to incandescent lamp and sends out colour temperature and is
The luminous flux of the collimated light beam of 2700K weaken in an atmosphere to initial value 5% by length.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2018103970332 | 2018-04-27 | ||
| CN201810397033 | 2018-04-27 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108763661A true CN108763661A (en) | 2018-11-06 |
Family
ID=64010020
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810441203.2A Pending CN108763661A (en) | 2018-04-27 | 2018-05-09 | A method of visibility is influenced based on Monte Carlo simulation road table moisture film |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108763661A (en) |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104655571A (en) * | 2015-03-19 | 2015-05-27 | 云南省交通规划设计研究院 | Device for simulating visibility test of drainage asphalt pavement under rainy day conditions |
-
2018
- 2018-05-09 CN CN201810441203.2A patent/CN108763661A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104655571A (en) * | 2015-03-19 | 2015-05-27 | 云南省交通规划设计研究院 | Device for simulating visibility test of drainage asphalt pavement under rainy day conditions |
Non-Patent Citations (6)
| Title |
|---|
| CHANGMING XU等: ""Effects of haze particles and fog droplets on NLOS ultraviolet communication channels"", 《2015 OPTICAL SOCIETY OF AMERICA》 * |
| GERARDO W. FLINTSCH等: ""Splash and Spray Assessment Tool Development Program"", 《SPLASH AND SPRAY ASSESSMENT TOOL DEVELOPMENT PROGRAM》 * |
| JEAN-PHILIPPE BRITON等: ""Monte Carlo Simulation of Multiple Scattering in Arbitrary 3-D Geometry"", 《PART. PART. SYST. CHARAC》 * |
| PENG, Y.等: ""Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures"", 《TRANSP. RES. PART C》 * |
| 殷涛 等: ""基于停车视距的高速公路雨天行车安全车速研究"", 《北方交通》 * |
| 王义国: ""大交通量与雨水天气综合因素下高速公路交通安全"主动性防御"对策"", 《农家参谋》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kordani et al. | Effect of adverse weather conditions on vehicle braking distance of highways | |
| CN104691545B (en) | Adaptability vehicle collision avoidance method | |
| WO2021223458A1 (en) | Driving risk unified quantification method based on comprehensive consideration of human, vehicle and road factors | |
| CN108182310A (en) | Area of heavy rainfull road radius of horizontal curve and safety speed-limit setting method | |
| Wu et al. | A longitudinal minimum safety distance model based on driving intention and fuzzy reasoning | |
| Teufel et al. | Simulating realistic rain, snow, and fog variations for comprehensive performance characterization of lidar perception | |
| CN108763661A (en) | A method of visibility is influenced based on Monte Carlo simulation road table moisture film | |
| CN109405962B (en) | Road traffic noise frequency spectrum calculation method | |
| Yu et al. | Simulation of impact of water-film spray on visibility | |
| CN108614078A (en) | A kind of simulation road table moisture film causes the method for water mist concentration after vehicle | |
| CN106991806A (en) | Low visibility highway leader of a group of people's passing method | |
| Deng et al. | How do dunes along a desert urban motorway affect the driving safety of sedans? Evidences from long-and short-term monitoring and IDDES | |
| CN115081300A (en) | Method for evaluating safety of sight distance of intelligent driving vehicle in severe weather based on virtual simulation | |
| Zheng et al. | Evaluation on braking stability of autonomous vehicles running along curved sections based on asphalt pavement adhesion properties | |
| Werner et al. | Visibility and cloud lidar | |
| Yin et al. | Analysis of several factors influencing range of non-line-of-sight UV transmission | |
| Yishui et al. | Research of highway bottlenecks based on catastrophe theory | |
| Drake et al. | Physical characteristics of splash and spray clouds produced by heavy vehicles (trucks and lorries) driven on wet asphalt | |
| Shahiduzzaman et al. | Scattering effect on terrestrial free space optical signal in tropical weather condition | |
| Han et al. | 3D flash LIDAR simulation for autonomous driving under various weather conditions | |
| Colonna et al. | The method of the friction diagram: New developments and possible applications | |
| Guo et al. | Propagation attenuation detection of pulsed laser by multi-scaled cloud particles | |
| Zhao et al. | Residual snow road adhesion coefficient modeling and safety vehicle speed evaluation | |
| Paulmier | Fog luminance evaluation in daytime | |
| Taillade et al. | An analytical model for backscattered luminance in fog: comparisons with Monte Carlo computations and experimental results |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181106 |