JP5467015B2 - Evaluation method of noise in railway vehicles - Google Patents

Description

  The present invention relates to a method for evaluating noise in a railway vehicle.

  Up to now, the in-vehicle sound of a railway vehicle has mainly been evaluated using the A characteristic sound level (hereinafter referred to as “noise level”, unit dB (A)).

JP 2002-202699 A

Hiroaki Suzuki, Hiroaki Shirato, Koji Omino, “Identification of Factors Affecting In-car Comfort of Trains”, Railway Research Institute Report, Vol. 11, no. 11, pp. 31-36, 1997 Railway Technical Research Institute R & D Theme Report, No. P430605G, “Development of Evaluation Method for In-Vehicle Comfort”, 2004.3 Ono Sokki Co., Ltd. Oscope ver. 2 Manual OS-0271 User's Guide

  However, in recent years, the presence of sounds that make passengers feel uncomfortable or annoying even when the noise level is low has been cited as a factor that impedes comfort in railway vehicles. Various noises such as vehicle running sounds and various equipment sounds are mixed in the railway vehicle, and the difference in human discomfort with such various sounds cannot be explained simply by the magnitude of the noise level.

  For example, as one measure for alleviating psychological discomfort to noise, sound discomfort using the loudness value and sharpness value of psychoacoustic parameters is used to solve noise problems for office automation equipment used in offices. A sound quality improvement method considering an index has been proposed (see Patent Document 1).

  However, regarding the noise in the railway vehicle, there is a problem in that it is not limited to the influence on the static equipment, but the influence due to traveling must be taken into consideration, and different factors must be taken into consideration.

  In view of the above-described situation, the present invention clarifies the effect of various sounds heard in a vehicle on human discomfort by performing subjective evaluation experiments on the rail vehicle, and more closely matches the human sense. The purpose is to provide an internal noise evaluation method.

In order to achieve the above object, the present invention provides
[1] In the evaluation method of noise in railway vehicles, not only loudness (dB), but also based on a regression equation with variables including sharpness (acum), tonality (tu), roughness (asper), and fluctuation intensity (vacil). A method of evaluating railroad vehicle noise using an evaluation index of discomfort with respect to railcar interior noise , wherein the regression equation is: discomfort level = A × loudness + B × sharpness + C × tourality + D × roughness + E × variation intensity + F (constant) ) Are linear regression equations (A to E are non-standardized coefficients), and the variables are five variables of loudness (dB), sharpness (acum), tonality (tu), roughness (asper), and fluctuation intensity (vacil). Based on .

[2] The evaluation method of [1] Symbol mounting rail vehicle in the noise, the type of the rail vehicle in the noise to be evaluated, characterized in that the vehicle is traveling Shinkansen vehicles and interior noise parked .

  According to the present invention, an unpleasant feeling with respect to noise in a railway vehicle is represented by a multivariable regression equation that combines the above sound quality evaluation indices, thereby making it an evaluation index of noise in a railway vehicle that better matches human senses. Can do.

It is the schematic of the measurement position of the noise in a railway vehicle which concerns on this invention. It is a figure which shows the indoor arrangement | positioning at the time of the experiment which concerns on this invention, and the outline of a connection of an audio equipment. It is a figure which shows the subjective evaluation sheet | seat of the sound used for the test subject experiment based on this invention. It is a figure which shows the correlation with the subjective evaluation point of the discomfort degree based on this invention, and a physical parameter | index value. It is a figure which shows the relationship of each subjective evaluation point about "noisiness" and "discomfort degree" about six types of typical sounds which concern on this invention. It is a figure which shows what extracted the relationship between the evaluation point with respect to the discomfort degree shown in FIG. 9, and a noise level about six types of typical sounds which concern on this invention. It is a figure which shows the power spectrum analyzed in the narrow band about the coasting sound, the air conditioning sound only for interchange, a low-order sound, and pink noise among six types of typical sounds which concern on this invention. It is a figure which shows the relationship between the sound quality evaluation index value other than the loudness which concerns on this invention, and the subjective evaluation point about "discomfort degree". It is a figure which shows the correlation with a calculated value and an experimental result about the subjective evaluation value of the discomfort degree by the regression formula by four variables of loudness, sharpness, tonality, and fluctuation intensity.

Railroad vehicle noise evaluation method is based not only on loudness (dB) but also on the basis of regression equations with variables including sharpness (acum), tonality (tu), roughness (asper), and fluctuation intensity (vacil). An evaluation method of noise in a railway vehicle using an evaluation index of discomfort with respect to noise, wherein the regression equation is discomfort = A × loudness + B × sharpness + C × tourality + D × roughness + E × variation intensity + F (constant) A linear regression equation (A to E are non-standardized coefficients: see the description of the expression of discomfort described later), and the variables are loudness (dB), sharpness (acum), tonality (tu), roughness (asper), It is based on five variables of fluctuation intensity (vacil).

  Hereinafter, embodiments of the present invention will be described in detail.

  First, the interior sound of the Shinkansen railway vehicle will be described.

  In the Shinkansen railcar during traveling, rolling noise and aerodynamic sound generated from the rail-wheel system that accompanies traveling travels through the vehicle's ceiling, side, floor surface, etc. A wide variety of sounds are included, including equipment sounds from underfloor and rooftop equipment such as traction motors and pantographs, sounds from air conditioners and lighting equipment in passenger car cabins, and passenger conversations. .

  In the present invention, in order to examine the passenger's psychological discomfort with respect to the noise in the Shinkansen railway vehicles, various in-vehicle noises during traveling and stopping in the three types of Shinkansen vehicles (A, B, C type). Was recorded. In this measurement, an integral type normal sound level meter (RION NL-20) was used.

  FIG. 1 is a schematic view of a measurement position of noise in a railway vehicle according to the present invention.

  In this figure, 1 is a railway vehicle, 2 is a wheel, 3 is a carriage, 4 is a door, 5 is a window, 6 is a vehicle body centerline, 7 is a vehicle body centerline, and 8 is a floor surface.

  The measurement position was on the vehicle body front-rear center line 7 (corresponding to the seat position at the center of the vehicle body). The height was set to 1.2 m from the floor 8 so as to correspond to the position of the passenger's ear.

(Characteristics of railway vehicle interior noise)
As a result of analyzing the sound recorded in the Shinkansen railway train when stopped and traveling, the air conditioning sound is more dominant than the main motor sound in the stopped vehicle, and the sound spectrum of the air conditioning sound varies depending on the operating conditions. I understood. In a running car, the contribution of running sound is greater than air conditioning noise and equipment sound during constant speed running at high speed.

  Sounds recorded in the Shinkansen trains have different spectrum formats, and such differences in sound spectrum are reflected in differences in audible tone. When performing subjective evaluation experiments on passengers' psychological discomfort with respect to these in-vehicle noises, these in-vehicle noises recorded in actual Shinkansen vehicles were evaluated. Further, in a running vehicle, a sound accompanied by vibration of the in-vehicle fitting member, which is called a low-order sound (katakatsu sound), is occasionally observed. Since these sounds cannot be predicted and can be perceived as sounds that increase discomfort, they were recorded with a linear PCM recorder when observed. This sound was also subject to evaluation of discomfort by the subject experiment.

(Sound discomfort and sound quality evaluation)
The survey on passenger discomfort with respect to vehicle interior noise is not limited to noise, but a survey on 34 items such as vibration, temperature, lighting, etc. is conducted on the comfort of the vehicle. There is an example in which physical quantities actually measured for minutes are compared (see Non-Patent Document 1 above). According to this result, regarding the vehicle running sound among the in-vehicle noise, the time rate noise level (L ₅₀ ) of 50% is considered to have a good correspondence between the psychological quantity and the physical quantity. However, indicators are considered as a physical quantity at this time is a commercially available integral sound level meter (RION NL-14) equivalent noise level can be calculated by (L _Aeq) and percentile level (L _X), both the noise level It is based on. In addition, as a result of investigating the comfort in the mixed environment of sound and vibration and video using the in-vehicle comfort simulator, discomfort to the sound depends on the nature of the vibration and visual information and sound, especially for the latter, Compared to general driving sounds, sounds that seem to be irrelevant to driving seem to be more unpleasant, and conversely, like the sound when passing through a bridge with images, the phenomenon is considered temporary and unavoidable for the subject It has been reported that the degree of discomfort with sound is low (see Non-Patent Document 2 above).

  Subjective evaluations such as “pleasant / uncomfortable” and “annoyance” for a sound do not necessarily depend only on the volume of the sound. As mentioned above, in addition to the effects of vibration and vision, sound such as spectrum and duration It is also influenced by the whole nature of. In this way, the feature of sound that humans feel is called sound quality, and can be indicated by various physical indexes such as “volume” and “height” of the sound. In recent years, an attempt to create a sound environment that is comfortable for the user by evaluating the sound with such a sound quality index and excluding the unpleasant sound even if the level is small mainly in the fields of the interior sound of automobiles and home appliances OA equipment. Many have been implemented (see Patent Document 1 above). However, which kind of sound quality index is suitable for human subjective evaluation depends on what kind of feeling (noisy, pleasant / unpleasant, etc.) it is, of course, it should be evaluated Depending on the type of sound and listening environment, personal preferences and preconceptions of sound also have a great impact, so any sound that has a high correlation with the subjective evaluation value of any person who hears it It can be said that there is no sound quality evaluation index.

  As an index for evaluating sound quality, “loudness (unit)” depending on the human sense of loudness and intensity is well known. Loudness for stationary sound is standardized by ISO. The sensation of “pleasantness / discomfort” for sound is said to be strongly dependent on the sense of “whether the sound is“ noisy ”” or not, and it is most fundamental to evaluate the sound by loudness. It is done. In addition, the noise level calculated as the volume of the sound felt by humans is weighted using a frequency correction coefficient (A characteristic) based on an equal loudness (isosensory) curve proposed by Fletcher-Munson. High correlation with loudness.

Sound quality evaluation parameters that can be calculated using a commercially available software package (see Non-Patent Document 3 above) (hereinafter simply referred to as Oscope) include sharpness (unit: acum, pitch of sound) in addition to loudness, and frequency analysis. The result shows that the center of gravity is biased toward the high frequency), tonality (unit: tu, ratio of sound component containing pure tone), roughness (unit: asper, sound roughness), loudness modulation period Is relatively short (fluctuates at 70 Hz)) and fluctuation intensity (unit: vacil, which shows a sense of fluctuation in sound, and the modulation period of loudness fluctuates long (4 Hz)).
(Subjective evaluation experiment by subjects)
(1) Outline of Experiment As described above, there are various types of in-vehicle noise, and the sizes thereof are also various. The main point of the present invention is to clarify the cause of discomfort with respect to in-vehicle noise that cannot be evaluated only by “size”, so that the recorded in-vehicle noise is reproduced by a speaker in a laboratory environment, A subjective evaluation experiment was conducted in which the subjects answered their impressions. In addition, the physical quantity of sound used for comparison with the result of subjective evaluation is the measured value of the above-mentioned various sound quality evaluation indices, and a microphone of a sound level meter (RION NL-04) is installed at the position of the chair where the subject sits in the subjective evaluation test. The sound reproduced from the speaker was recorded and analyzed by the software (Oscope) described above. Details of the sound reproduction method and experimental method are shown below.

(Presentation sound)
In addition to the in-vehicle noise recorded at the measurement position shown in FIG. 1, the sound stimuli to be evaluated were 26 types shown in Table 1 by adding separately prepared sounds for comparison.

  Pink noise is a sound with the same power level in all bands in frequency analysis of a constant ratio width such as an octave band. The output duration of one sound stimulus is 15 seconds, and 15 seconds with no significant change in sound characteristics are cut out from the sound file recorded in the actual vehicle, and stable when it is less than 15 seconds due to other noise, etc. The part was played repeatedly.

  The presentation level of the sound stimulus was set to 3 levels in 5 dB increments with respect to the noise level. For this reason, the total number of sound stimuli to be evaluated is 78. The sound level of each sound stimulus was set to about 60, 65, 70 dB (A) at the position of the subject's ear with reference to the average level in the vehicle interior noise.

(Subjective evaluation experiment)
Subjective evaluation experiments by subjects were conducted one by one for 21 men and women (16 men, 5 women, age 25 to 54 years old, average age 39.3 years old) in the soundproof room in the Railway Technical Research Institute. did. All subjects had experience of using the Shinkansen, and no one had any experience with abnormal hearing. The speakers were installed on the front left and right of the subject toward the subject, and the distance from the vibration surface to the chair position was about 1 m horizontally. Fig. 2 shows an outline of the room layout and connection of audio equipment during the experiment.

  In FIG. 2, FIG. 2 (a) is a laboratory arrangement, and FIG. 2 (b) is a diagram showing connection of sound output equipment.

  In these drawings, 11 is a soundproof room, 12 is a right speaker, 13 is a left speaker, 14 is output equipment, 14-1 is a sound output PC, 14-2 is USB audio capture, and 14-3 is digital. Equalizer, 14-4 is a digital amplifier, 14-5 is a speaker, A is a subject, and B is an experimenter.

  When subjective evaluation is performed by subject experiment, setting of questions is important, but this time we focused on evaluating impressions for each sound and asked for answers to four questions with different expressions.

  FIG. 3 is a view showing a subjective evaluation sheet for sound used in the subject experiment according to the present invention.

  The first question is a five-step evaluation from "1. Not very noisy" to "5. Very noisy" using the expression "noisy" used in general noise evaluation. did. The second question asks directly about “discomfort”, which is the main purpose of the present invention, and the third question says, “If this sound continues for a long time (more than 30 minutes) Similarly, the evaluation was based on five levels. In addition, referring to the evaluation items used in past research (see Non-Patent Document 2 above), the fourth question is “no problem” and “no problem”. The evaluation was also made in four levels: “A little worrisome”, “Uncomfortable but acceptable” and “Uncomfortable and unacceptable”. These evaluation items are hereinafter referred to as “noisy”, “discomfort”, “degree of concern”, and “tolerance” in the present invention. In this case, the railway was assumed to be an excellent train such as the Shinkansen.

  In the experiment, 78 kinds of sounds that last for 15 seconds are reproduced from the speaker in a random order, and when the evaluation points according to the subject's own subjectivity are determined for each sound, ○ is entered in the numerical value to which the subjective evaluation sheet applies even during reproduction. Urged to.

(Experimental result)
The average value of all respondents was calculated for the obtained subjective evaluation points, and the correlation with each noise evaluation index and sound quality evaluation index was analyzed. The evaluation index value (physical quantity) of the sound is the evaluation sound reproduced from the speaker by installing a microphone of a sound level meter at the position of the subject's ear (0.1 m behind the chair and 1 m from the floor). The sound pressure AC signal of the sound level meter recorded in a data recorder was obtained by processing with Oscope. Each evaluation value was an average value in the entire frequency range for the middle 10 seconds excluding the first and last of the sound lasting 15 seconds. The physical evaluation indices used for the correlation analysis were seven types including the above-mentioned sharpness, tonality, roughness, and fluctuation intensity in addition to the noise level, sound pressure level (F characteristic), and loudness. Table 2 shows the results of analyzing the correlation between these physical index values and subjective evaluation points.

From this, it can be seen that the correlation between the subjective evaluation point and the noise level with respect to the “discomfort level” is low (determination coefficient R ² = 0.6), and the noise level alone is insufficient when the comfort is evaluated. On the other hand, the subjective evaluation point for “noisiness” generally used for noise evaluation has a relatively high correlation with the noise level (R ² = 0.8) as in the previous knowledge. It was confirmed.

(Subjective evaluation of “discomfort”)
As a result of the correlation analysis shown in Table 2, the physical evaluation index having the highest correlation with the subjective evaluation point regarding “discomfort” is loudness, R ² = 0.7, and the next highest correlation is the noise level R ² = about 0.6.

  FIG. 4 is a diagram showing the correlation between the subjective evaluation point of discomfort and the physical index value according to the present invention, FIG. 4 (a) is the correlation between discomfort and loudness, and FIG. 4 (b) is the discomfort and noise level. The correlation is shown.

  From Fig. 4 (a), the subjective evaluation value of "discomfort" in the correlation with loudness is the largest deviation from the regression line because of pink noise and air-conditioning sound when only the continuous ventilator is in operation. It can be seen that the tendency to feel uncomfortable as compared with other sounds is also increasing. Further, from FIG. 4B, it can be seen that even if the noise level is the same level, there is a large difference in the evaluation score for “discomfort” depending on the type of sound. Therefore, it is considered that the discomfort with the sound is influenced not only by the magnitude (noise level and loudness) that the sound can be heard but also by other factors.

  FIG. 5 is a diagram showing the relationship between subjective evaluation points for “noisy” and “discomfort” for six typical types of sounds according to the present invention.

  These are all sounds related to a certain type of Shinkansen vehicles, except for pink noise. From this figure, the sound of only commutation (Legend ○) and the sound that synthesized conversation with the running sound (Running Sound + Conversation, Legend ◇) have a worse evaluation score for “discomfort” than the subjective evaluation score for “noisy” , Lower tone (Legend ■) and pink noise (Legend ●) are more unpleasant. In contrast, the sound of coasting sound (legend ●) and air conditioning only (forced mode) (legend ▲) gave a slightly better evaluation score for “discomfort” than “noisy”. From the above, subjective evaluation points for “noisiness” and “discomfort” for sound show different tendencies depending on the type of sound, and noise level alone is not enough to evaluate comfort for sound environment. It can be said.

(Factors of discomfort independent of loudness)
As described above, the discomfort felt with respect to the sound is the same level of noise (noise level), but the discomfort rating score varies depending on the type of sound. This difference is indicated only by the noise level and loudness. It is thought to be caused by the difference in the nature of the sound that cannot be performed.

  FIG. 6 is a diagram showing an excerpt of the relationship between the evaluation score for the discomfort level shown in FIG. 4B and the noise level for the same six types of sounds as in FIG. From FIG. 6, there is a two-stage difference in subjective evaluation points of discomfort between the sound with the most unpleasant feeling (pink noise: legend ●) and the sound with the least discomfort [air conditioning only (forced mode): legend ▲]. Is seen. In addition, the sound of conversion only (legend ○) and the sound of air conditioning only (forced) are both due to the air conditioning of the same type of vehicle, and only the operating conditions are different. A clear difference is seen.

  It is thought that there are various factors, including the listening environment, in the difference in the feeling of discomfort with the sound, but since the listening environment is the same in this subjective evaluation experiment, the difference in the physical properties of the sound is only It is thought to be due to. As described above, the pink noise and the air-conditioning sound of only the interchange are clearly uncomfortable sounds compared to other sounds, and this discomfort seems to be reflected in the direction of increasing discomfort. In order to explain such differences in the physical properties of sound, sound quality indicators other than the above-mentioned loudness are considered, and examples include differences in sound frequency characteristics such as sharpness, tonality, roughness, and fluctuation intensity. It is an index that represents the fluctuation of sound and sound.

  FIG. 7 shows a coasting sound [FIG. 7 (a)], an air conditioning sound only for conversion [FIG. 7 (b)], and a low-order sound [FIG. 7 (c). ]] And pink noise [FIG. 7 (d)] are diagrams showing power spectra analyzed in a narrow band. All are power spectra obtained by correcting the actual measurement result when the presentation level is maximum (about 70 dB) with the frequency weighting characteristic A.

  The air conditioning sound of only conversion [FIG. 7 (b)] has a clear peak near 100 dB which is larger than other frequency regions near 100 Hz. Thus, a sound having a sharp peak at a specific frequency is considered to have a high tonality (pure tone) value in the sound quality evaluation index.

  Further, pink noise [FIG. 7 (d)] has a gentle semicircular shape extending from a low frequency range to a high frequency range as compared with other in-vehicle noises, and the ratio of the high frequency range is high. Such a sound is considered to have a high sharpness value.

  FIG. 8 is a diagram showing the relationship between the sound quality evaluation index value other than the loudness according to the present invention and the subjective evaluation point regarding the “discomfort level”. FIG. 8 also shows the relationship with the sound pressure level value (a prime level value without frequency weight correction). From FIG. 8 (b), it can be confirmed that pink noise has a higher sharpness value than other sounds, and FIG. 8 (c) confirms that the air-conditioning sound of only conversion has a higher tonality value than the other sounds.

  Table 6 shows the subjective evaluation points and “sound quality evaluation index values” for “discomfort” for the six types of sounds extracted in FIGS. 5 and 6. Here, a sound with a noise level of about 70 dB is shown.

  Both tonality and sharpness depend on the spectral characteristics and do not depend on the volume of the sound, so these index values are the same for the same type of sound, and all evaluation sounds were targeted. In some cases, as shown in Table 2, the correlation between the “discomfort level” and the subjective evaluation point is very low for each index alone. However, as shown in Table 3, when the volume of sound (noise level) is adjusted, the tonality and sharpness of the sound is higher than that of the other sounds. Tend to be bad. In other words, there is a difference in tonality and sharpness as one factor that causes a difference in “discomfort” even with the same volume of sound.

  In addition, in Table 3, when looking at low-pitched sounds and running sounds + conversational sounds with a poor subjective evaluation score regarding “discomfort”, the values of roughness and fluctuation intensity are slightly higher than those of other sounds. It can be imagined that the increase in discomfort can be explained, but with regard to these sounds, psychological factors such as discomfort to the cause that cannot be identified and disgust to the sound source itself are large, and it is possible to show only with simple physical indicators It is considered difficult.

(Evaluation index for in-vehicle sound considering discomfort)
In the future, in order to realize a more comfortable in-vehicle sound environment, not only the volume of various sounds that can be heard in the vehicle, but also the overall discomfort including the sound quality evaluation index as described above will be examined. One measure is to adjust it comfortably. For this purpose, it is conceivable that an uncomfortable feeling with respect to the noise in the railway vehicle is expressed by a multivariable regression equation combined with the above sound quality evaluation index so as to be an evaluation index of the in-vehicle noise more matched to the human sense. For example, when the calculated value of the subjective evaluation score calculated by this formula exceeds a certain standard (for example, evaluation score 4 corresponding to “very discomfort” in the current subjective evaluation score), the sound is analyzed in detail. By taking measures to improve sound quality, it can be expected that comfort in the interior sound environment will be improved.

  As described above, passenger discomfort with respect to in-vehicle noise has a high correlation with loudness, which indicates how loud the sound can be heard, but it cannot explain why the discomfort level differs even with the same loudness. In order to explain this, a comprehensive evaluation index that has a higher correlation with the discomfort level and can more efficiently explain passenger discomfort is proposed by multiple regression analysis using other sound quality evaluation indices. Using commercially available statistical analysis software (SPSS), the coefficient of each variable was examined in the following linear regression equation.

Discomfort = A x loudness + B x sharpness + C x tonality + D x roughness + E x fluctuation intensity + F (constant) (1)
Of the seven sound quality evaluation indexes, the sound pressure level and the noise level are excluded because they show the characteristic of “sound volume” like the loudness, and the remaining five indexes are used as explanatory variables. The combination was examined by the stepwise method of multiple regression analysis. Table 4 shows the results. However, since subjective evaluation points (average score of five-level evaluation) are used as dependent variables and actual measurement values are used as sound quality index values that are explanatory variables, coefficients A to E (non-standardized coefficients) The magnitude of contribution cannot be compared. For this reason, Table 4 also shows the standardization coefficient representing the degree of contribution.

  Thus, in order to evaluate the discomfort with respect to the noise in the railway vehicle, it is possible to propose a highly correlated evaluation formula [the above formula (1)] by using not only the loudness but also a plurality of sound quality indexes. From Table 4, model (2) (three variables) or (3) (four variables) seems to be appropriate, but how many variables to choose depends on the physical meanings and evaluation targets of each sound quality index. It is necessary to select the most suitable one by examining the sound to be played in detail.

  Here, as an example, in the subjective evaluation experiment by the subject this time, for the subjective evaluation value of discomfort by the model (3) in Table 4 (regression equation with four variables of loudness, sharpness, tonality, and fluctuation intensity) The correlation with the experimental results is shown in FIG.

According to the present invention,
(1) Subjective tests were conducted by subjects in a soundproof room in the soundproof room for various sounds that can be heard in railway cars. By comparing the subjective evaluation value and the various sound quality evaluation index values of the sound, it was confirmed which sound quality evaluation index the human subjectivity with respect to the in-vehicle sound had a high correlation with.

  As a result, the degree of feeling “noisy” with respect to noise in the railway vehicle is highly correlated with the loudness or noise level of the sound. On the other hand, the degree of “discomfort” is highly correlated with loudness and noise level, but it cannot be evaluated sufficiently. Subjective evaluations for “noisiness” and “discomfort” tend to be slightly different depending on the sound, and it was confirmed that discomfort differs depending on the sound quality even if the sound volume and loudness are similar.

   (2) Loudness is the most highly correlated evaluation value for unpleasantness of sound in railway vehicles, but as a result of multiple regression analysis, it is further correlated by multiple regression equations that include other sound quality evaluation index values. It was shown that it can be used as an evaluation index.

  In addition, this invention is not limited to the said Example, Based on the meaning of this invention, a various deformation | transformation is possible and these are not excluded from the scope of the present invention.

  As an evaluation method for noise in a railway vehicle according to the present invention, an evaluation index for railway vehicle noise that matches a human sense can be used.

DESCRIPTION OF SYMBOLS 1 Railcar 2 Wheel 3 Bogie 4 Door 5 Window 6 Car body left-right center line 7 Car body front-rear center line 8 Floor surface 11 Soundproof room 12 Right speaker 13 Left speaker 14 Output equipment 14-1 Sound output PC
14-2 USB audio capture 14-3 Digital equalizer 14-4 Digital amplifier 14-5 Speaker A Subject B Experimenter

Claims (2)

An evaluation index of discomfort with respect to noise in a railway vehicle is used based on a regression equation based on variables including not only loudness (dB) but also sharpness (acum), tonality (tu), roughness (asper), and fluctuation intensity (vacil). A method of evaluating noise in a railway vehicle, wherein the regression equation is a linear regression equation in which the degree of discomfort = A × loudness + B × sharpness + C × tourality + D × roughness + E × variation intensity + F (constant). Evaluation of noise in a railway vehicle characterized in that the variable is based on five variables: loudness (dB), sharpness (acum), tonality (tu), roughness (asper), and fluctuation intensity (vacil). Method. In the evaluation method of claim 1 Symbol in mounting the rail vehicle noise, the rail vehicle in the type of noise, railroad-vehicle noise, which is a traveling Shinkansen vehicles and interior noise parked to be evaluated Evaluation method.

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