國立虎尾科技大學 |

Evaluation of the F.H.W.A. Traffic Noise Model.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Evaluation of the F.H.W.A. Traffic Noise Model./
作者:	Rahman, Mountasser A.
面頁冊數:	1 online resource (90 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:	Dissertation Abstracts International79-01B(E).
標題:	Environmental engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355129205

Evaluation of the F.H.W.A. Traffic Noise Model.
Rahman, Mountasser A.

Evaluation of the F.H.W.A. Traffic Noise Model. - 1 online resource (90 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (D.Eng.)--Morgan State University, 2017.

Includes bibliographical references

The goal of the present research is to gain clarity regarding the relationship between field measure traffic noise level and the Federal Highway Administration-Traffic Noise Model 2.5 (TNM) predicted noise level while utilizing the same data. This study advances the evaluation of the TNM prediction accuracy in previous research by designing a specific experiment rather than depending on survey of available data.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355129205Subjects--Topical Terms:

557376
Environmental engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Evaluation of the F.H.W.A. Traffic Noise Model.
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100 1 $a Rahman, Mountasser A. $3 1191979
245 1 0 $a Evaluation of the F.H.W.A. Traffic Noise Model.
264 0 $c 2017
300 $a 1 online resource (90 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Advisers: Reginald Amory; Indranil Goswami.
502 $a Thesis (D.Eng.)--Morgan State University, 2017.
504 $a Includes bibliographical references
520 $a The goal of the present research is to gain clarity regarding the relationship between field measure traffic noise level and the Federal Highway Administration-Traffic Noise Model 2.5 (TNM) predicted noise level while utilizing the same data. This study advances the evaluation of the TNM prediction accuracy in previous research by designing a specific experiment rather than depending on survey of available data.
520 $a A series of experiments were conducted to determine if any discrepancy (residual error) exists between sanitized noise level measured in the field and the noise level predicted by the TNM. Five-minutes traffic sound intervals were recorded by two sound meters located at 15 and 30 meter offset respectively from a roadway segment. One hundred and sixty-eight, five-minute data intervals were collected for this study. The intervals were segregated into four data sets: fully sanitized, environmentally sanitized, raw, and excluded. Certain criteria were used to define and identify environmentally sanitized and fully sanitized intervals of the raw data. Each data set was then utilized to create 300 randomly generated one-hour simulated sample subpopulation.
520 $a A residual error was identified that improved the TNM far field prediction. The overall findings support the assertion made by the Federal Highway Administration's Office of Planning, Environment & Realty that the TNM 2.5 predicted noise levels correlate well with calibrated field-measured noise levels. However, a pattern to the TNM residual error within a very limited experiment was identified while using several sanitization schemes. Additional studies are required for this conclusion to be generalized for varying types of roads, traffic conditions, topography, and regions.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Environmental engineering. $3 557376
650 4 $a Transportation. $3 558117
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0709
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Morgan State University. $b Civil Engineering. $3 1191980
773 0 $t Dissertation Abstracts International $g 79-01B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10267429 $z click for full text (PQDT)