Modeling traffic noise at a signalized intersection

Name: Suwajchai Paoprayoon

Organization : King Mongkut's University of Technology Thonburi. The Joint Graduate School of Energy and Environment. Environmental. Technology

keyword: Model and modelmaking

; Communication and traffic

; Noise

Abstract: This research aims at modeling a new interrupted flow traffic noise at a signalized intersection.The model is mathematically derived by applying the inverse square law of soundpressure, characteristics of individual vehicle motion, shock wave model, and queuing model.The model formulation is divided into two different approaches and takes into account all regimesof vehicle movement while traversing an intersection (i.e. idling, decelerating, accelerating,and cruising). The first approach assumes a constant acceleration/deceleration rate foreach type of vehicle. Another applies the inconstant acceleration/deceleration which comesfrom speed-distance relationship. The models are generally expressed in LAeq (lhr).This study also collects the interrupted flow and idling noise emission levels of vehiclesin Thailand, which are classified into eight classes, namely, passenger car, light truck,medium truck, heavy truck, tractor trailer, bus, motorcycle, and Tuk-tuk. The sound level metersare placed at the distances of 15, 30, 60, and 120 meters from the stop line and 15 metersset back from the centerline of the roadway lane. The regression result of the noise emissiondata is then used for predicting interrupted traffic noise level.Eventually, the developed models are then evaluated by comparing the predicted levelsto the measured ones. The equivalent continuous noise levels (LAeq 1 min) and trafficrelatedparameters (e.g. shock wave rates, red time, number of vehicles in each platoon, andfree flow speed) from fifteen vehicle platoons are measured for evaluating the models. Theanalysis shows that the latter approach, which considers inconstant acceleration/deceleration,gives the predicted results close to the measured data rather than the first one. It might beconcluded that the movement characteristic of vehicle is a key factor that apparently affectsthe accuracy ofthe prediction results.

King Mongkut's University Technology Thonburi. Library

Address: Bangkok

Email: info.lib@mail.kmutt.ac.th

Name: Prungchan Wongwises

Role: Advisor

Name: Sorawit Narupiti

Role: Advisor

Created: 2003

Issued: 2007-07-17

Modified: 2014-04-22

วิทยานิพนธ์/Thesis

ISBN: 9741838786

CallNumber: JGSEE75

eng

DegreeName: Master of Philosophy

Level: Master's Degree

Descipline: Environmental Technology

Grantor: King Mongkut's University of Technology Thonburi

©copyrights King Mongkut's University of Technology Thonburi

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