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APPENDIX A VEHICLE NOISE EMISSIONS

This appendix contains noise-emission equations and graphs for the five built-in vehicle types within FHWA TNM®:

For each vehicle type, this appendix contains equations for the following components of sound-level emissions:

In addition, this appendix describes how user-defined vehicles merge with TNM's built-in noise-emission equations.

A.1 Overview

As a single vehicle passes by a microphone 15 meters (50 feet) to the side, its sound level rises, reaches a maximum, and then falls as the vehicle recedes down the roadway. The maximum A-weighted sound level during the passby is called that vehicle's noise-emission level.

Measurement of vehicle noise-emission levels for TNM are reported separately [Fleming 1995]. These TNM emission-level measurements were confined to relatively flat ground, with the microphone at height 1.5 meters (5 feet) and horizontal distance 15 meters (50 feet). Generally the ground between the roadway edge and the microphone was acoustically absorptive, although not always. At the moment of maximum A-weighted sound level, the vehicle's 1/3rd-octave-band spectrum was also measured at the microphone. This spectrum, relative to the A-weighted sound level, is called the vehicle's noise-emission spectrum.

Measurement of vertical subsources for TNM are also reported separately [Coulson 1996]. These subsource measurements were also confined to relatively flat ground, with an array of microphone heights at horizontal distance 7.5 meters (25 feet). For these measurements, the ground between the roadway edge and the microphone array was acoustically hard, although the data were analyzed to subtract out the effects of ground reflections.

This appendix describes the results of all TNM emission-level measurements and their statistical analysis.

A.2 Definition of Variables

To calculate sound levels for entire traffic streams, TNM must incorporate energy-average vehicle noise emissions for each vehicle type. These energy-average emission levels depend upon the following variables:

f nominal 1/3rd-octave-band center frequency, in Hz

i index over vehicle types: built-in types and user-defined types

p index over pavement types:

s vehicle speed, in kilometers per hour. Speed varies with roadway segment. It may also vary by vehicle type, either because the user enters a different input speed or because TNM internally calculates speed due to upgrades or traffic-control devices (see Appendix B).

A.3 A-weighted Noise-Level Emissions and 1/3rd-Octave-Band Spectra, as Measured

TNM needs three constants to compute A-weighted noise-level emissions: A, B and C. In addition, it needs fourteen additional constants to convert these A-weighted noise-level emissions to 1/3rd-octave-band spectra: D1 , D2 , E1 , E2 , F1 , F2 , G1 , G2 , H1 , H2 , I1 , I2 , J1 and J2.

These seventeen constants depend upon two variables, i and p (vehicle type and pavement type, respectively), plus whether the vehicle is full throttle or not. Vehicles are full throttle when they accelerate away from traffic-control devices, until they reach the user's input speed. In addition, heavy trucks are full throttle on upgrades equal to 1.5 percent or more, until later level grades and downgrades allow them to accelerate back up to the user's input speed.

A.3.1 Built-in vehicle types

Table 5 contains the required seventeen constants, for all combinations of vehicle type, pavement type, and throttle condition.

For any roadway/traffic situation, the pavement type and throttle condition will be known. The traffic will include several different vehicle types, i, each with its own speed, si . For these emission calculations, TNM substitutes the relevant constants from Table 5 into the following set of equations, to determine each vehicle type's total measured noise emissions:


Equation 5

This complex equation contains the calculations necessary to calculate the vehicle emission levels by 1/3rd octave bands for all built-in vehicle types. The seventeen constants needed to calculate this equation are available in Table 5.

where speed, s, is in kilometers per hour and "Log10" denotes the common logarithm (base 10).

The first of these equations yields the energy form, EA , of the maximum passby A-weighted sound level for the vehicle type. The second equation converts this EA to a 1/3rd-octave--band spectrum. This spectrum is also A-weighted, because each of its measured one-third -octave-band levels has been A-weighted. Therefore, when the energies are added for each frequency band, using the equation for Lemis, i (s i, f ), the sum, converted to a level, is the A-weighted sound level, without need for further A-weighting. The third equation converts these 1/3rd-octave-band levels to their energy form.

This set of equations determines each built-in vehicle type's energy-mean emission spectrum, as measured during individual vehicle passbys at 15 meters (50 feet) over flat, generally absorptive terrain.

A.3.2 User-defined vehicle types

Subject to FHWA policy guidelines, TNM allows user-defined vehicle types to supplement its built-in vehicle types.

FHWA provides specific instructions in [Lee 1997] for the required field measurements and data analysis. In brief, each vehicle type's A-weighted emission levels must be measured in the field, as a function of speed, and then energy-mean emissions must be regressed against vehicle speed. This regression yields the three vehicle-emission constants: A, B and C. Next the resulting constant B must be converted into the vehicle's energy-mean emissions at 80 kilometers per hour (50 miles per hour), which the user enters along with A and C into TNM's traffic dialog box for user-defined vehicles.

Through this process, TNM incorporates customized A-weighted sound-level emissions for user-defined vehicles. For the user-defined vehicle type, TNM substitutes the spectrum constants (D through J) for whichever built-in vehicle the user designates as most similar, again in the traffic dialog box.

A.4 Vertical Subsources, as Measured

TNM needs five additional constants to compute vertical subsource vehicle emissions: L, M, N, P and Q. These constants also depend upon the two variables, i and p, plus throttle condition.

A.4.1 Built-in vehicle types

Table 6 contains the measured values of these five constants, for all combinations of vehicle type, pavement type, and throttle condition.

For any roadway/traffic situation, the pavement type and throttle condition will be known. The traffic will include several different vehicle types, i, each with its own speed, si. For this calculation, TNM then substitutes the relevant five constants from Table 6 into the following equation, to determine the subsource-split ratio, ri :


Equation 6

This equation calculates the sub-source split ratio for each vehicle type. It is frequency dependent and speed independent. The 5 constants needed to calculate this equation are available in Table 6.

Note that the frequency, f, appears explicitly in this equation and also that the equation isindependent of vehicle speed, si. In this equation, r is the ratio of upper-height to lower height energy spectra. Intuitively, one might expect the subsource height split to be a function of vehicle speed, e.g., as speed increases, the split should be more heavily weighted towards the lower height because of the increased effect of tire/road noise. The current subsource height database contains limited data at low speeds (less than 30 mph). If additional subsource height data is obtained at low speeds, it is expected that the above equation would need to be modified to take into account vehicle speed.

TNM next combines these ratios, ri , with each vehicle type's total measured emissions from the previous section, to split its total emissions into vertical subsources:


Equation 7

TNM takes the sub-source split ratio calculated in Equation 6 and combines the ration with each vehicle type’s total measured emissions from the previous section, to split its total emissions into vertical sub-sources. These calculations are based on actual measurements.

Physically, this last equation represents each vehicle type's energy-mean emission spectrum, split into its two vertical subsources, as measured during individual vehicle passbys at 15 meters (50 feet) over flat, generally absorptive terrain. Note that L, M, N, P, and Q were obtained by regression from data at 7.5 meters (25 feet) over flat hard terrain. However, these data were analyzed in a manner that subtracts out the effect of the hard terrain and makes their use here, in this manner, legitimate.

Table 5. Constants for A-weighted sound-level emissions and 1/3rd-octave-band spectra
Vehicle type, i; Pavement type, p Full
throttle
Constants, For a user-defined vehicle, substitute its measured values for these three constants Constants, For a user-defined vehicle, use the TNM-equivalent vehicle to choose the relevant table row for these fourteen constants
Au MT HT Bus MC Avg DG AC OG AC PCC Yes No A B C D1 D2 E1 E2 F1 F2 G1 G2 H1 H2 I1 I2 J1 J2
X         X       X   41.740807 1.148546 67.00 -7516.580054 -9.7623 16460.1 11.65932 -14823.9 -1.233347 7009.474786 -4.327918 -1835.189815 2.579086 252.418543 -0.573822 -14.268316 0.045682
X         X         X 41.740807 1.148546 50.128316 -7516.580054 -9.7623 16460.1 11.65932 -14823.9 -1.233347 7009.474786 -4.327918 -1835.189815 2.579086 252.418543 -0.573822 -14.268316 0.045682
X           X     X   41.740807 0.494698 67.00 -7313.985627 -19.697019 16009.5 34.363901 -14414.4 -22.462943 6814.317463 6.093141 -1783.723974 -0.252834 245.299562 -0.170266 -13.86487 0.022131
X           X       X 41.740807 0.494698 50.128316 -7313.985627 -19.697019 16009.5 34.363901 -14414.4 -22.462943 6814.317463 6.093141 -1783.723974 -0.252834 245.299562 -0.170266 -13.86487 0.022131
X             X   X   41.740807 -1.065026 67.00 -9549.987851 -146.173482 21064 340.622686 -19060.8 -324.802942 9032.990872 161.886578 -2363.810485 -44.454426 324.077238 6.378783 -18.21167 -0.373971
X             X     X 41.740807 -1.065026 50.128316 -9549.987851 -146.173482 21064 340.622686 -19060.8 -324.802942 9032.990872 161.886578 -2363.810485 -44.454426 324.077238 6.378783 -18.21167 -0.373971
X               X X   41.740807 3.520004 67.00 -2027.8376 -70.674562 3728.329033 155.109567 -2768.001364 -138.780925 1030.541403 64.525774 -195.32456 -16.430316 16.418899 2.17435 -0.339616 -0.117021
X               X   X 41.740807 3.520004 50.128316 -2027.8376 -70.674562 3728.329033 155.109567 -2768.001364 -138.780925 1030.541403 64.525774 -195.32456 -16.430316 16.418899 2.17435 -0.339616 -0.117021
  X       X       X   33.918713 20.591046 74.00 -8997.974274 96.301703 19015.4 -196.241744 -16587 162.56952 7627.874332 -70.394575 -1950.412341 16.876826 263.093464 -2.132793 -14.645109 0.111404
  X       X         X 33.918713 20.591046 68.002978 -1238.353632 -68.218944 2532.436947 151.781493 -2124.165806 -140.388413 919.784302 68.545463 -215.745405 -18.551234 25.909788 2.634001 -1.244253 -0.153272
  X         X     X   33.918713 19.903775 74.00 -8997.974274 96.301703 19015.4 -196.241744 -16587 162.56952 7627.874332 -70.394575 -1950.412341 16.876826 263.093464 -2.132793 -14.645109 0.111404
  X         X       X 33.918713 19.903775 68.002978 -230.440015 -82.783198 172.725033 186.80143 131.655819 -174.718246 -207.664798 86.12481 95.139145 -23.513441 -18.96669 3.366475 1.407549 -0.197472
  X           X   X   33.918713 19.345214 74.00 -8997.974274 96.301703 19015.4 -196.241744 -16587 162.56952 7627.874332 -70.394575 -1950.412341 16.876826 263.093464 -2.132793 -14.645109 0.111404
  X           X     X 33.918713 19.345214 68.002978 -234.711357 -103.147894 162.036132 244.033651 133.970948 -237.867685 -196.613672 121.527971 87.517298 -34.222359 -17.12562 5.031804 1.253128 -0.301914
  X             X X   33.918713 22.141611 74.00 -8997.974274 96.301703 19015.4 -196.241744 -16587 162.56952 7627.874332 -70.394575 -1950.412341 16.876826 263.093464 -2.132793 -14.645109 0.111404
  X             X   X 33.918713 22.141611 68.002978 -139.27717 -132.207111 97.357937 296.574807 65.350117 -273.981431 -104.555273 132.85439 47.637332 -35.600554 -9.424641 4.997542 0.689877 -0.287335
    X     X       X   35.879850 21.019665 80.00 -6864.586846 -94.379848 14368.7 226.701375 -12459.2 -220.015419 5710.525999 110.518825 -1458.340416 -30.365892 196.811136 4.33716 -10.977676 -0.252197
    X     X         X 35.879850 21.019665 74.298135 1468.440649 -235.319117 -3852.393214 537.981518 3886.430673 -502.160068 -1986.858782 244.714955 549.002247 -65.686556 -78.239429 9.217734 4.509121 -0.529106
    X       X     X   35.879850 20.358498 80.00 -6864.586846 -94.379848 14368.7 226.701375 -12459.2 -220.015419 5710.525999 110.518825 -1458.340416 -30.365892 196.811136 4.337165 -10.977676 -0.252197
    X       X       X 35.879850 20.358498 74.298135 -290.277032 -196.828915 156.854882 450.144699 151.082001 -420.250062 -168.033708 204.806845 60.772941 -54.968455 -9.681901 7.711617 0.570105 -0.442469
    X         X   X   35.879850 19.107151 80.00 -6864.586846 -94.379848 14368.7 226.701375 -12459.2 -220.015419 5710.525999 110.518825 -1458.340416 -30.365892 196.811136 4.337165 -10.977676 -0.252197
    X         X     X 35.879850 19.107151 74.298135 -258.941348 -255.205946 135.514216 587.489921 132.973712 -552.824216 -151.366531 272.102657 57.66924 -73.912732 -9.928293 10.514055 0.649271 -0.612569
    X           X X   35.879850 21.822818 80.00 -6864.586846 -94.379848 14368.7 226.701375 -12459.2 -220.015419 5710.525999 110.518825 -1458.340416 -30.365892 196.811136 4.337165 -10.977676 -0.252197
    X           X   X 35.879850 21.822818 74.298135 87.378338 -224.132311 -497.410428 509.705253 579.584033 -473.326603 -298.5689955 229.5809 78.021585 -61.374037 -10.058424 8.58403 0.498685 -0.49149
      X   X       X   23.479530 38.006238 74.00 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X   X         X 23.479530 38.006238 68.002978 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X     X     X   23.479530 37.318967 74.00 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X     X       X 23.479530 37.318967 68.002978 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X       X   X   23.479530 36.760406 74.00 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X       X     X 23.479530 36.760406 68.002978 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X         X X   23.479530 39.556803 74.00 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
      X         X   X 23.479530 39.556803 68.002978 4621.365424 -123.140566 -11601.5 284.796174 11535.3 -267.623062 -5896.461017 130.822488 1645.797051 -35.139019 -238.929963 4.927783 14.139828 -0.282557
        X X X X X X   41.022542 10.013879 67.00 7546.65902 -8.870177 -17396 7.899209 16181.8 2.526152 -7828.632535 -5.314462 2085.468458 2.344913 -290.816544 -0.435913 16.614043 0.03005
        X X X X X   X 41.022542 10.013879 56.00 7546.65902 -8.870177 -17396 7.899209 16181.8 2.526152 -7828.632535 -5.314462 2085.468458 2.344913 -290.816544 -0.435913 16.614043 0.03005
Table 6. Constants for subsource-height split.
Vehicle type, i; Pavement type, p Full
throttle
Constants, For a user-defined vehicle, use the TNM equivalent vehicle to choose the relevant table row for these five constants
Au MT HT Bus MC Avg DG AC OG AC PCC Yes No L M N P Q
X         X X X X X X 0.373239 0.976378 -13.195596 39.491299 -2.583128
  X       X X X X X   0.579261 0.871354 -177.249214 558.980283 -0.026532
  X       X X X X   X 0.566933 0.93352 -25.497631 80.239979 -0.234435
    X     X X X X X   0.577394 0.609787 -309.046731 890.880597 -8519.429646
    X     X X X X   X 0.594848 0.643317 -36.503587 102.627995 -132.679357
      X   X X X X X   0.579261 0.871354 -177.249214 558.980283 -0.026532
      X   X X X X   X 0.563097 0.928086 -31.517739 99.099777 -0.263459
        X X X X X X   0.391352 0.978407 -19.278172 60.404841 -0.614295
        X X X X X   X 0.391352 0.978407 -19.278172 60.404841 -0.614295

A.4.2 User-defined vehicles

For a user-defined vehicle, TNM substitutes the subsource heights for the built-in vehicle that the user designates as most similar. Table 6 mentions this substitution in the appropriate column heading.

A.5 Vertical Subsources, Free Field

Next TNM eliminates the ground effects within these measured vehicle emissions. To do this, it multiplies each measured vertical subsource emission by the values in Table 7.

Mathematically:


Equation 8

This equation calculates each vehicle types measured energy-mean emission spectrum, as if the vehicles passed by during measurements at 15 meters without any intervening ground type. Essentially, this equation eliminates the ground effects from the measured vehicle emissions.

The subscripts, ff, stand for free field. Physically, this last equation represents each vehicle type's measured energy-mean emission spectrum, as if the vehicles passed by during measurements at 15 meters (50 feet) without any intervening ground (that is, free field).

Table 7. Multiplier, m, for each built-in subsource height.
Freq (Hz) 50 63 80 100 125 160 200 250 315 400 500 630
Multiplier m, Height: 3.66m 0.32 0.35 0.41 0.51 0.76 1.66 6.46 4.79 0.95 0.41 0.41 1.00
Multiplier m, Height: 1.5m 0.30 0.30 0.32 0.34 0.37 0.44 0.55 0.81 1.55 5.27 4.47 1.02
Multiplier m, Height: zero 0.30 0.31 0.32 0.34 0.35 0.38 0.41 0.44 0.47 0.50 0.54 0.56
Freq (Hz) 800 1000 1250 1600 2000 2500 3150 4000 5000 6300 8000 10000
Multiplier m, Height: 3.66m 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Multiplier m, Height: 1.55m 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
Multiplier m, Height: zero 0.56 0.54 0.49 0.42 0.35 0.30 0.25 0.22 0.21 0.21 0.3 0.36

These values were derived by using propagation algorithms of TNM to determine the effect of the (absorptive) ground present during the emission-level measurements.

A.6 Plots of All Noise Emissions

Figure 6 shows A-weighted sound-level emissions for TNM's built-in vehicle types, for average pavement and cruise throttle. The following figures plot all noise emissions, separately by vehicle type and throttle condition (cruise or full):

This graph shows the vehicle emission levels by vehicle type for cruise throttle and average pavement condition. From this graph, it is evident that noise levels increases with speed and heavy trucks are the noisiest vehicle type.
Figure 6. A-weighted sound-level emissions: Average pavement, cruise throttle.

This graph shows the vehicle emission levels for automobiles under cruise throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type.
Figure 7. A-weighted sound-level emissions: Automobiles, cruise throttle.

This graph shows the vehicle emission levels for automobiles under full throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Under full throttle, an automobile is 15 dBA louder at lower speeds than under cruise condition.
Figure 8. A-weighted sound-level emissions: Automobiles, full throttle.

This graph shows the vehicle emission levels for medium trucks under cruise throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Range in noise level due to pavement type is less noticeable.
Figure 9. A-weighted sound-level emissions: Medium trucks, cruise throttle.

This graph shows the vehicle emission levels for medium trucks under full throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Under full throttle, a medium truck is not much louder than under cruise condition. Range in noise level due to pavement type is less noticeable.
Figure 10. A-weighted sound-level emissions: Medium trucks, full throttle.

This graph shows the vehicle emission levels for heavy trucks under cruise throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Range in noise level due to pavement type is less noticeable.
Figure 11. A-weighted sound-level emissions: Heavy trucks, cruise throttle.

This graph shows the vehicle emission levels for heavy trucks under full throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Range in noise level due to pavement type is less noticeable. Heavy trucks are 5 dB louder under full throttle compared to cruise condition at lower speeds.
Figure 12. A-weighted sound-level emissions: Heavy trucks, full throttle

This graph shows the vehicle emission levels for buses under cruise throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type.
Figure 13. A-weighted sound-level emissions: Buses, cruise throttle

This graph shows the vehicle emission levels for buses under full throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Buses are 7 dB louder under full throttle compared to cruise condition at lower speeds.
Figure 14. A-weighted sound-level emissions: Buses, full throttle

This graph shows the vehicle emission levels for motorcycles under cruise throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Motorcycle noise levels vary greatly depending on speed.
Figure 15. A-weighted sound-level emissions: Motorcycles, cruise throttle

This graph shows the vehicle emission levels for motorcycles under cruise throttle condition for various pavement types (PCC, average, DGAC, and OGAC). From this graph, it is evident that noise levels increases with speed and PCC is the loudest and OGAC is the quietest pavement type. Motorcycles are 10 dB louder under full throttle compared to cruise condition at lower speeds.
Figure 16. A-weighted sound-level emissions: Motorcycles, full throttle

This graph shows the sound level by frequency of automobiles on average pavement for the speed range of 0 to 80 mile per hour. Lower speeds have an effect on lower frequencies.
Figure 17. Emission spectra: Automobiles, average pavement

This graph shows the sound level by frequency of automobiles on DGAC pavement for the speed range of 0 to 80 mile per hour. Lower speeds have an effect on lower frequencies. There is some variation in higher frequencies for the DGAC pavement type.
Figure 18. Emission spectra: Automobiles, DGAC pavement

This graph shows the sound level by frequency of automobiles on OGAC pavement for the speed range of 0 to 80 mile per hour. Lower speeds have an effect on lower frequencies. There is some variation in higher frequencies for the OGAC pavement type.
Figure 19. Emission spectra: Automobiles, OGAC pavement

This graph shows the sound level by frequency of automobiles on PCC pavement for the speed range of 0 to 80 mile per hour. Lower speeds have an effect on lower frequencies. There is less variation in higher frequencies for the PCC pavement type.
Figure 20. Emission spectra: Automobiles, PCC pavement

This graph shows the sound level by frequency of medium trucks under full throttle for the speed range of 0 to 80 mile per hour. There is some variation for lower frequencies
Figure 21. Emission spectra: Medium Trucks, Full Throttle

This graph shows the sound level by frequency of medium trucks under cruise throttle on average pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower frequencies.
Figure 22. Emission spectra: Medium Trucks, Cruise, throttle, average pavement

This graph shows the sound level by frequency of medium trucks under cruise throttle on DGAC pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower frequencies.
Figure 23. Emission spectra: Medium Trucks, Cruise, throttle, DGAC pavement

This graph shows the sound level by frequency of medium trucks under cruise throttle on OGAC pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower frequencies and some variation in higher frequencies.
Figure 24. Emission spectra: Medium Trucks, Cruise, throttle, OGAC pavement

This graph shows the sound level by frequency of medium trucks under cruise throttle on PCC pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower frequencies.
Figure 25. Emission spectra: Medium Trucks, Cruise, throttle, PCC pavement

This graph shows the sound level by frequency of heavy trucks under full throttle for the speed range of 0 to 80 mile per hour. There is some variation for lower frequencies
Figure 26. Emission Spectra: Heavy Trucks, full throttle

This graph shows the sound level by frequency of heavy trucks under cruise throttle on average pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower and higher frequencies and some variation in the middle frequencies.
Figure 27. Emission Spectra: Heavy Trucks, cruise throttle, average pavement

This graph shows the sound level by frequency of heavy trucks under cruise throttle on DGAC pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower and higher frequencies and some variation in the middle frequencies.
Figure 28. Emission Spectra: Heavy Trucks, cruise throttle, DGAC pavement

This graph shows the sound level by frequency of heavy trucks under cruise throttle on OGAC pavement for the speed range of 0 to 80 mile per hour. There is some variation for lower and higher frequencies and some variation in the middle frequencies.
Figure 29. Emission Spectra: Heavy Trucks, cruise throttle, OGAC pavement

This graph shows the sound level by frequency of heavy trucks under cruise throttle on PCC pavement for the speed range of 0 to 80 mile per hour. There is substantial variation for lower and higher frequencies and some variation in the middle frequencies.
Figure 30. Emission Spectra: Heavy Trucks, cruise throttle, PCC pavement

This graph shows the sound level by frequency of buses for the speed range of 0 to 80 mile per hour. There is some variation for lower and higher frequencies and some variation in the middle frequencies.
Figure 31. Emission Spectra: Buses

This graph shows the sound level by frequency of buses for the speed range of 0 to 80 mile per hour. There is some variation for very low frequencies and some variation in the higher frequencies. While all the other emission spectra had one peak in the middle frequencies, motorcycles seem to have two peaks, one in the lower frequencies and one in the higher frequencies.
Figure 32. Emission Spectra: Motorcycles

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher.
Figure 33. Sound emissions, high/low energy split: Automobiles

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is greater than for automobiles.
Figure 34. Sound emissions, high/low energy split: Medium trucks, cruise throttle

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is greater than for cruise throttle.
Figure 35. Sound emissions, high/low energy split: Medium trucks, full throttle

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is greater than for medium trucks.
Figure 36. Sound emissions, high/low energy split: Heavy trucks, cruise throttle

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is greater than for cruise throttle.
Figure 37. Sound emissions, high/low energy split: Heavy trucks, full throttle

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is similar to that of medium trucks.
Figure 38. Sound emissions, high/low energy split: Buses, cruise throttle

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is similar to that of medium trucks.
Figure 39. Sound emissions, high/low energy split: Buses, full throttle

This graph shows the ratio of energy distribution between the two vehicle sub-sources. The contribution is higher for lower frequencies than higher. The contribution is similar to that of automobiles.
Figure 40. Sound emissions, high/low energy split: Motorcycles

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