{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:43:00Z","timestamp":1740134580966,"version":"3.37.3"},"reference-count":13,"publisher":"Wiley","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100003698","name":"Korea Institute of Construction Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003698","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2013]]},"abstract":"<jats:p>A technique has been developed for predicting road traffic noise for environmental assessment, taking into account traffic volume as well as road surface conditions. The ASJ model (ASJ Prediction Model for Road Traffic Noise, 1999), which is based on the sound power level of the noise emitted by the interaction between the road surface and tires, employs regression models for two road surface types: dense-graded asphalt (DGA) and permeable asphalt (PA). However, these models are not applicable to other types of road surfaces. Accordingly, this paper introduces a parameter estimation procedure for ASJ-based noise prediction models, utilizing a harmony search (HS) algorithm. Traffic noise measurement data for four different vehicle types were used in the algorithm to determine the regression parameters for several road surface types. The parameters of the traffic noise prediction models were evaluated using another measurement set, and good agreement was observed between the predicted and measured sound power levels.<\/jats:p>","DOI":"10.1155\/2013\/953641","type":"journal-article","created":{"date-parts":[[2013,11,6]],"date-time":"2013-11-06T16:08:25Z","timestamp":1383754105000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Parameter Estimation for Traffic Noise Models Using a Harmony Search Algorithm"],"prefix":"10.1155","volume":"2013","author":[{"given":"Deok-Soon","family":"An","sequence":"first","affiliation":[{"name":"Highway Research Division, SOC Research Institute, Korea Institute of Construction Technology, Goyang-si, Gyeonggi-do 411-712, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Young-Chan","family":"Suh","sequence":"additional","affiliation":[{"name":"Department of Transportation & Logistics Engineering, Hanyang University, Ansan-si, Gyeonggi-do 426-791, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5083-5386","authenticated-orcid":true,"given":"Sungho","family":"Mun","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Seoul National University of Science & Technology, Seoul 139-743, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byung-Sik","family":"Ohm","sequence":"additional","affiliation":[{"name":"Highway Research Division, SOC Research Institute, Korea Institute of Construction Technology, Goyang-si, Gyeonggi-do 411-712, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"1","key":"1","first-page":"281","volume":"55","year":"1999","journal-title":"Bull. 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