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1 Study of the effect of AVAS on road traffic noise JASIC QRTV-07-07

1 Study of the effect of AVAS on road traffic noise JASIC QRTV-07-07

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Study of the effect of AVAS on road traffic noise

JASIC

QRTV-07-07

Calculation flow of road traffic noise

Effect of the increase of EV

Influence of the installation of AVAS

Calculation flow of road traffic noise

Effect of the increase of EV

Influence of the installation of AVAS

Contents

2

Calculation flow of JARI model [1], [2], [3]

Sound Power level of each vehicleSound Power level of each vehicle

Sound propagationSound propagation

Calculation of LAeqCalculation of LAeq

Tire/road noiseTire/road noisePower unit noisePower unit noise

Running condition of each vehicleRunning condition of each vehicle

Estimation of traffic flowEstimation of traffic flow

3

Traffic flow simulation

Running condition (speed, acceleration, engine speed, position) of each vehicle is estimated.

4

Tire/road noiseTire/road noisePower unit noisePower unit noise

Calculation flow of JARI model [1], [2], [3]

Sound Power level of each vehicleSound Power level of each vehicle

Sound propagationSound propagation

Calculation of LAeqCalculation of LAeq

Running condition of each vehicleRunning condition of each vehicle

Estimation of traffic flowEstimation of traffic flow

5

Sound power level model of ICE vehicle

Power unit noise

Noise sources Models

LAS

SAALWE 2

010 log

010 log

V

VCCLWT

S : Engine speed [rpm], L : Engine load [%]

V : Vehicle speed [km/h]

Tire/road noise

6

Calculation flow of JARI model [1], [2], [3]

Sound Power level of each vehicleSound Power level of each vehicle

Sound propagationSound propagation

Calculation of LAeqCalculation of LAeq

Running condition of each vehicleRunning condition of each vehicle

Estimation of traffic flowEstimation of traffic flow

Tire/road noiseTire/road noisePower unit noisePower unit noise

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Time history of road traffic noise

Measured

A-w

eigh

ted

soun

d pr

essu

re le

vel

[dB

]

Calculated

50

70

9050

70

90

0 100 200 300 400 500 600Time [sec]

8

50

55

60

65

70

75

80

85

50 55 60 65 70 75 80 85

Me

asu

red

LA

eq

[dB

]

Calculated LAeq [dB]

Dense Asphalt (Japan)

Dense Asphalt (Netherlands)

SMA 0/11 (Netherlands)

SMA 0/6 (Netherlands)

Microlayers (Netherlands)

2-layer porous (Netherlands)

Comparison of measured and calculated LAeq

< Road surface>

9

Calculation flow of JARI model [1], [2], [3]

Sound Power level of each vehicleSound Power level of each vehicle

Sound propagationSound propagation

Calculation of LAeqCalculation of LAeq

Running condition of each vehicleRunning condition of each vehicle

Estimation of traffic flowEstimation of traffic flow

Tire/road noiseTire/road noisePower unit noisePower unit noise

10

Aural simulation of road traffic noise [4]

10

Sound pressure waveform of each vehicleSound pressure waveform of each vehicle

Sound propagationSound propagation

Synthesized waveform of road traffic noiseSynthesized waveform of road traffic noise

Running condition of each vehicleRunning condition of each vehicle

Estimation of traffic flowEstimation of traffic flow

Tire/road noiseTire/road noisePower unit noisePower unit noise

Synthesis of sound waveforms

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Time

3

0

-30.05secSo

und

pres

sure

(Pa

)

Time 0.1sec

3

0

-3

Soun

d pr

essu

re (

Pa)

Power unit noise

Noise sources

Tire/road noise

Sound pressure waveforms

Waveforms from noise sources of ICE vehicle

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Visual and aural simulation [4]

Calculation flow of road traffic noise

Effect of the increase of EV

Influence of the installation of AVAS

Contents

13

Power unit noise

Noise sources Models

Noise radiation of EV

Noise sources Noise radiations

Tire/road noise

Not radiated

Radiated same as ICE vehicle

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Prediction area(1): Urban area

•Traffic volume: 1,434 vehicles/hour

•Speed limit: 50 km/h

Passenger car 85.9 %

Light truck 5.1 %

Medium truck 5.7 %

Heavy truck 0.6 %

Motorcycle 2.7 %

•Ratio of vehicle categories:

•Prediction point near intersection with traffic light

•Prediction point far from intersection

Traffic conditions

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Prediction results in urban area: Effect of the increase of EV [5]

When EVs increase to 40 %, it is predicted that road traffic noise LAeq in urban area decreases 0.2 dB to 0.3 dB.

Ratio of EV

( in passenger car )[ % ]

Near intersection Far from intersection

LAeq

[dB]

Decrease

[dB]

LAeq

[dB]

Decrease

[dB]

0 70.3 70.4

20 70.1 0.2 70.4 0.0

40 70.0 0.3 70.2 0.2

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Prediction area(2): Residential area

•Traffic volume: 60 vehicles/hour

•Speed limit: 30 km/h

Passenger car 100 %

Light truck 0 %

Medium truck 0 %

Heavy truck 0 %

Motorcycle 0 %

•Ratio of vehicle categories:

•Prediction point near intersection

•Prediction point far from intersection

Traffic conditions

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When EVs increase to 40 %, it is predicted that road traffic noise LAeq in residential area decreases 1.3 dB to 1.9 dB.

Ratio of EV

( in passenger car )[ % ]

Near intersection Far from intersection

LAeq

[dB]

Decrease

[dB]

LAeq

[dB]

Decrease

[dB]

0 55.2 54.2

20 54.2 1.0 53.6 0.6

40 53.3 1.9 52.9 1.3

Prediction results in residential area: Effect of the increase of EV [5]

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Calculation flow of road traffic noise

Effect of the increase of EV

Influence of the installation of AVAS

Contents

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Sound radiation from EV with AVAS

AVAS

Sound sources Sound radiations

Type: Continuous sound

Level: 50 dB(A) at 2 m forward of vehicle, 1.2 m in height (Constant level, equals to idling of ICE vehicle)

Speed range in which sound is generated:

0 < Speed < 20 km/h

Power unit

Tire/road noiseSame as ICE vehicle

Prediction results: Influence of the installation of AVAS [5]

Even if AVAS is installed in EV, it doesn't influence road traffic noise.

Ratio of EV

( in passenger car )[ % ]

Residential area

Near intersection Far from intersection

LAeq

[dB]

Decrease [dB]

LAeq

[dB]

Decrease [dB]

Without AVAS

With AVAS

Without AVAS

With AVAS

0 55.2 54.2

20 54.2 1.0 1.0 53.6 0.6 0.6

40 53.3 1.9 1.9 52.9 1.3 1.3

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Conclusion

When EVs increase to 40 %, it is predicted that road traffic noise LAeq in urban area decreases 0.2 dB to 0.3 dB, and LAeq in residential area decreases 1.3 dB to 1.9 dB.

The effect of AVAS installed in EV was examined, where the sound was generated at the same level as idling of ICE vehicle in the speed range in 20 km/h or less.

As a result, it has been found that the sound from AVAS doesn't influence road traffic noise.

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Reference

[1] Y.Oshino and H.Tachibana, "Prediction of road traffic noise taking account of transient vehicle running condition", Proceeding of Inter-noise 93 (1993)

[2] Y.Oshino, K.Tsukui and H.Tachibana, "Road traffic noise prediction taking account of transient vehicle running condition", Proceeding of Inter-noise 96 (1996)

[3] T.Suzuki, K.Tsukui, Y.Oshino and H.Tachibana, "Road traffic noise prediction model around signalized intersections", Proceeding of Inter-noise 2003 (2003)

[4] M.Tanaka, T.Suzuki, Y.Oshino and H.Tachibana, "Aural simulation of road traffic noise", Proceeding of Inter-noise 2008 (2008)

[5] National Traffic Safety and Environment Laboratory, “ 車両接近通報装置の特性評価と基準化に関する調査 (in Japanese)", 2007

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Thank you

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