GPS-based speed collection method for road traffic noise mapping

C. Asensio; J.M. López; Raul Pagan Munoz; I. Pavón; M. Ausejo

doi:10.1016/j.trd.2009.03.008

GPS-based speed collection method for road traffic noise mapping

C. Asensio
, J.M. López
, Raul Pagan Munoz
, I. Pavón
, M. Ausejo

Building Acoustics

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

20 Citaten (Scopus)

2 Downloads (Pure)

Samenvatting

One of the most difficult and expensive tasks in making noise pollution maps is the collection and processing of the data needed to create acoustic models. In the case of road traffic noise maps, obtaining speed data for light and heavy vehicles a problem that has usually been avoided by using a road's speed limit or by making assumptions based on experience from similar road types. Here global positioning systems-based techniques are applied for acquiring vehicle speed data and adapted to fulfill the requirements of noise prediction models. © 2009 Elsevier Ltd. All rights reserved.

Originele taal-2	Engels
Pagina's (van-tot)	360-366
Aantal pagina's	7
Tijdschrift	Transportation Research. Part D: Transport and Environment
Volume	14
Nummer van het tijdschrift	5
DOI's	https://doi.org/10.1016/j.trd.2009.03.008
Status	Gepubliceerd - 2009

Trefwoorden

Acoustic model
Collection methods
Heavy vehicle
Noise mapping
Noise predictions
Road traffic
Road traffic noise
Simulation
Speed limit
Vehicle speed, Acoustic noise
Data processing
Global positioning system
Noise pollution
Simulators
Speed, Roads and streets, computer simulation
GPS
mapping
noise pollution
numerical model
road transport

Toegang tot document

10.1016/j.trd.2009.03.008

Citeer dit

@article{9c23186257c247a6b561a442a0bbf731,

title = "GPS-based speed collection method for road traffic noise mapping",

abstract = "One of the most difficult and expensive tasks in making noise pollution maps is the collection and processing of the data needed to create acoustic models. In the case of road traffic noise maps, obtaining speed data for light and heavy vehicles a problem that has usually been avoided by using a road's speed limit or by making assumptions based on experience from similar road types. Here global positioning systems-based techniques are applied for acquiring vehicle speed data and adapted to fulfill the requirements of noise prediction models. {\textcopyright} 2009 Elsevier Ltd. All rights reserved.",

keywords = "Acoustic model, Collection methods, Heavy vehicle, Noise mapping, Noise predictions, Road traffic, Road traffic noise, Simulation, Speed limit, Vehicle speed, Acoustic noise, Data processing, Global positioning system, Noise pollution, Simulators, Speed, Roads and streets, computer simulation, GPS, mapping, noise pollution, numerical model, road transport",

author = "C. Asensio and J.M. L{\'o}pez and \{Pagan Munoz\}, Raul and I. Pav{\'o}n and M. Ausejo",

year = "2009",

doi = "10.1016/j.trd.2009.03.008",

language = "English",

volume = "14",

pages = "360--366",

journal = "Transportation Research. Part D: Transport and Environment",

issn = "1361-9209",

publisher = "Elsevier",

number = "5",

}

TY - JOUR

T1 - GPS-based speed collection method for road traffic noise mapping

AU - Asensio, C.

AU - López, J.M.

AU - Pagan Munoz, Raul

AU - Pavón, I.

AU - Ausejo, M.

PY - 2009

Y1 - 2009

N2 - One of the most difficult and expensive tasks in making noise pollution maps is the collection and processing of the data needed to create acoustic models. In the case of road traffic noise maps, obtaining speed data for light and heavy vehicles a problem that has usually been avoided by using a road's speed limit or by making assumptions based on experience from similar road types. Here global positioning systems-based techniques are applied for acquiring vehicle speed data and adapted to fulfill the requirements of noise prediction models. © 2009 Elsevier Ltd. All rights reserved.

AB - One of the most difficult and expensive tasks in making noise pollution maps is the collection and processing of the data needed to create acoustic models. In the case of road traffic noise maps, obtaining speed data for light and heavy vehicles a problem that has usually been avoided by using a road's speed limit or by making assumptions based on experience from similar road types. Here global positioning systems-based techniques are applied for acquiring vehicle speed data and adapted to fulfill the requirements of noise prediction models. © 2009 Elsevier Ltd. All rights reserved.

KW - Acoustic model

KW - Collection methods

KW - Heavy vehicle

KW - Noise mapping

KW - Noise predictions

KW - Road traffic

KW - Road traffic noise

KW - Simulation

KW - Speed limit

KW - Vehicle speed, Acoustic noise

KW - Data processing

KW - Global positioning system

KW - Noise pollution

KW - Simulators

KW - Speed, Roads and streets, computer simulation

KW - GPS

KW - mapping

KW - noise pollution

KW - numerical model

KW - road transport

U2 - 10.1016/j.trd.2009.03.008

DO - 10.1016/j.trd.2009.03.008

M3 - Article

SN - 1361-9209

VL - 14

SP - 360

EP - 366

JO - Transportation Research. Part D: Transport and Environment

JF - Transportation Research. Part D: Transport and Environment

IS - 5

ER -

GPS-based speed collection method for road traffic noise mapping

Samenvatting

Trefwoorden

Toegang tot document

Vingerafdruk

Citeer dit